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Sample records for breast cancer genome-wide

  1. Genome-wide association analysis identifies three new breast cancer susceptibility loci

    DEFF Research Database (Denmark)

    Ghoussaini, Maya; Fletcher, Olivia; Michailidou, Kyriaki

    2012-01-01

    Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for ∼8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies (GWAS) in ...

  2. Genome-wide association analysis identifies three new breast cancer susceptibility loci

    NARCIS (Netherlands)

    Ghoussaini, M.; Fletcher, O.; Michailidou, K.; Turnbull, C.; Schmidt, M.K.; Dicks, E.; Dennis, J.; Wang, Q.; Humphreys, M.K.; Luccarini, C.; Baynes, C.; Conroy, D.; Maranian, M.; Ahmed, S.; Driver, K.; Johnson, N.; Orr, N.; dos Santos Silva, I.; Waisfisz, Q.; Meijers-Heijboer, H.; Uitterlinden, A.G.; Rivadeneira, F.; Hall, P.; Czene, K.; Irwanto, A.; Liu, J.; Nevanlinna, H.; Aittomaki, K.; Blomqvist, C.; Meindl, A.; Schmutzler, R.K.; Muller-Myhsok, B.; Lichtner, P.; Chang-Claude, J.; Hein, R.; Nickels, S.; Flesch-Janys, D.; Tsimiklis, H.; Makalic, E.; Schmidt, D.; Bui, M.; Hopper, J.L.; Apicella, C.; Park, D.J.; Southey, M.; Hunter, D.J.; Chanock, S.J.; Broeks, A.; Verhoef, S.; Hogervorst, F.B.; Fasching, P.A.; Lux, M.P.; Beckmann, M.W.; Ekici, A.B.; Sawyer, E.; Tomlinson, I.; Kerin, M.; Marme, F.; Schneeweiss, A.; Sohn, C.; Burwinkel, B.; Guenel, P.; Truong, T.; Cordina-Duverger, E.; Menegaux, F.; Bojesen, S.E.; Nordestgaard, B.G.; Nielsen, S.F.; Flyger, H.; Milne, R.L.; Alonso, M.R.; Gonzalez-Neira, A.; Benitez, J.; Anton-Culver, H.; Ziogas, A.; Bernstein, L.; Dur, C.C.; Brenner, H.; Muller, H.; Arndt, V.; Stegmaier, C.; Justenhoven, C.; Brauch, H.; Bruning, T.; Wang-Gohrke, S.; Eilber, U.; Dork, T.; Schurmann, P.; Bremer, M.; Hillemanns, P.; Bogdanova, N.V.; Antonenkova, N.N.; Rogov, Y.I.; Karstens, J.H.; Bermisheva, M.; Prokofieva, D.; Ligtenberg, M.J.

    2012-01-01

    Breast cancer is the most common cancer among women. To date, 22 common breast cancer susceptibility loci have been identified accounting for approximately 8% of the heritability of the disease. We attempted to replicate 72 promising associations from two independent genome-wide association studies

  3. A Genome-wide Breast Cancer Scan in African Americans

    Science.gov (United States)

    2012-06-01

    of Experimental Therapy and Molecular Pathology and Division of Epidemiology, Netherlands Cancer Institute–Antoni van Leeuwenhoek Hospital, Amsterdam...Centre, University of Oxford, Oxford, UK. 81Family Cancer Clinic, Netherlands Cancer Institut–Antoni van Leeuwenhoek Hospital, Amsterdam, The Netherlands

  4. Cross-cancer genome-wide analysis of lung, ovary, breast, prostate and colorectal cancer reveals novel pleiotropic associations

    NARCIS (Netherlands)

    Fehringer, Gordon; Kraft, Peter; Pharoah, Paul D P; Eeles, Rosalind A; Chatterjee, Nilanjan; Schumacher, Fredrick R; Schildkraut, Joellen M; Lindstrom, Sara; Brennan, Paul; Bickeböller, Heike; Houlston, Richard S; Landi, Maria Teresa; Caporaso, Neil E; Risch, Angela; Amin Al Olama, Ali; Berndt, Sonja I; Giovannucci, Edward; Gronberg, Henrik; Kote-Jarai, Zsofia; Ma, Jing; Muir, Kenneth; Stampfer, Meir J; Stevens, Victoria L; Wiklund, Fredrik; Willett, Walter C; Goode, Ellen L; Permuth, Jennifer B; Risch, Harvey A; Reid, Brett M; Bezieau, Stéphane; Brenner, Hermann; Chan, Andrew T; Chang-Claude, Jenny; Hudson, Thomas J; Kocarnik, Jonathan; Newcomb, Polly A; Schoen, Robert E; Slattery, Martha L; White, Emily; Adank, Muriel A; Ahsan, Habibul; Aittomaki, Kristiina; Baglietto, Laura; Blomquist, Carl; Canzian, Federico; Czene, Kamila; Dos Santos Silva, Isabel; Eliassen, A Heather; Figueroa, Jonine D; Flesch-Janys, Dieter; Fletcher, Olivia; Garcia-Closas, Montserrat; Gaudet, Mia M; Johnson, Nichola; Hall, Per; Hazra, Aditi; Hein, Rebecca; Hofman, Albert; Hopper, John L; Irwanto, Astrid; Johansson, Mattias; Kaaks, Rudolf; Kibriya, Muhammad G; Lichtner, Peter; Liu, Jian Jun; Lund, Eiliv; Makalic, Enes; Meindl, Alfons; Müller-Myhsok, Bertram; Muranen, Taru A; Nevanlinna, Heli; Peeters, Petra H; Peto, Julian; Prentice, Ross L; Rahman, Nazneen; Sanchez, Maria-Jose; Schmidt, Daniel F; Schmutzler, Rita K; Southey, Melissa C; Tamimi, Rulla M; Travis, Ruth C; Turnbull, Clare; Uitterlinden, Andre G; Wang, Zhaoming; Whittemore, Alice S; Yang, Xiaohong R; Zheng, Wei; Rafnar, Thorunn; Gudmundsson, Julius; Stacey, Simon N; Stefansson, Kari; Sulem, Patrick; Chen, Y Ann; Tyrer, Jonathan P; Christiani, David C; Wei, Yongyue; Shen, Hongbing; Hu, Zhibin; Shu, Xiao-Ou; Shiraishi, Kouya; Takahashi, Atsushi; Bossé, Yohan; Obeidat, Ma'en; Nickle, David; Timens, Wim; Freedman, Matthew L; Li, Qiyuan; Seminara, Daniela; Chanock, Stephen J; Gong, Jian; Peters, Ulrike; Gruber, Stephen B; Amos, Christopher I; Sellers, Thomas A; Easton, Douglas F; Hunter, David J; Haiman, Christopher A; Henderson, Brian E; Hung, Rayjean J

    2016-01-01

    Identifying genetic variants with pleiotropic associations can uncover common pathways influencing multiple cancers. We took a two-staged approach to conduct genome-wide association studies for lung, ovary, breast, prostate and colorectal cancer from the GAME-ON/GECCO Network (61,851 cases, 61,820 c

  5. Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations

    NARCIS (Netherlands)

    Fehringer, Gordon; Kraft, Peter; Pharoah, Paul D.; Eeles, Rosalind A.; Chatterjee, Nilanjan; Schumacher, Fredrick R.; Schildkraut, Joellen M.; Lindstrom, Sara; Brennan, Paul; Bickeboller, Heike; Houlston, Richard S.; Landi, Maria Teresa; Caporaso, Neil; Risch, Angela; Al Olama, Ali Amin; Berndt, Sonja I.; Giovannucci, Edward L.; Gronberg, Henrik; Kote-Jarai, Zsofia; Ma, Jing; Muir, Kenneth; Stampfer, Meir J.; Stevens, Victoria L.; Wiklund, Fredrik; Willett, Walter C.; Goode, Ellen L.; Permuth, Jennifer B.; Risch, Harvey A.; Reid, Brett M.; Bezieau, Stephane; Brenner, Hermann; Chan, Andrew T.; Chang-Claude, Jenny; Hudson, Thomas J.; Kocarnik, Jonathan K.; Newcomb, Polly A.; Schoen, Robert E.; Slattery, Martha L.; White, Emily; Adank, Muriel A.; Ahsan, Habibul; Aittomaki, Kristiina; Baglietto, Laura; Blomquist, Carl; Canzian, Federico; Czene, Kamila; dos-Santos-Silva, Isabel; Eliassen, A. Heather; Figueroa, Jonine D.; Flesch-Janys, Dieter; Fletcher, Olivia; Garcia-Closas, Montserrat; Gaudet, Mia M.; Johnson, Nichola; Hall, Per; Hazra, Aditi; Hein, Rebecca; Hofman, Albert; Hopper, John L.; Irwanto, Astrid; Johansson, Mattias; Kaaks, Rudolf; Kibriya, Muhammad G.; Lichtner, Peter; Liu, Jianjun; Lund, Eiliv; Makalic, Enes; Meindl, Alfons; Muller-Myhsok, Bertram; Muranen, Taru A.; Nevanlinna, Heli; Peeters, Petra H.; Peto, Julian; Prentice, Ross L.; Rahman, Nazneen; Sanchez, Maria Jose; Schmidt, Daniel F.; Schmutzler, Rita K.; Southey, Melissa C.; Tamimi, Rulla; Travis, Ruth C.; Turnbull, Clare; Uitterlinden, Andre G.; Wang, Zhaoming; Whittemore, Alice S.; Yang, Xiaohong R.; Zheng, Wei; Buchanan, Daniel D.; Casey, Graham; Conti, David V.; Edlund, Christopher K.; Gallinger, Steven; Haile, Robert W.; Jenkins, Mark; Le Marchand, Loic; Li, Li; Lindor, Noralene M.; Schmit, Stephanie L.; Thibodeau, Stephen N.; Woods, Michael O.; Rafnar, Thorunn; Gudmundsson, Julius; Stacey, Simon N.; Stefansson, Kari; Sulem, Patrick; Chen, Y. Ann; Tyrer, Jonathan P.; Christiani, David C.; Wei, Yongyue; Shen, Hongbing; Hu, Zhibin; Shu, Xiao-Ou; Shiraishi, Kouya; Takahashi, Atsushi; Bosse, Yohan; Obeidat, Ma'en; Nickle, David; Timens, Wim; Freedman, Matthew L.; Li, Qiyuan; Seminara, Daniela; Chanock, Stephen J.; Gong, Jian; Peters, Ulrike; Gruber, Stephen B.; Amos, Christopher I.; Sellers, Thomas A.; Easton, Douglas F.; Hunter, David J.; Haiman, Christopher A.; Henderson, Brian E.; Hung, Rayjean J.

    2016-01-01

    Identifying genetic variants with pleiotropic associations can uncover common pathways influencing multiple cancers. We took a two-stage approach to conduct genome-wide association studies for lung, ovary, breast, prostate, and colorectal cancer from the GAME-ON/GECCO Network (61,851 cases, 61,820 c

  6. Cross-cancer genome-wide analysis of lung, ovary, breast, prostate, and colorectal cancer reveals novel pleiotropic associations

    NARCIS (Netherlands)

    Fehringer, G. (Gordon); P. Kraft (Peter); P.D.P. Pharoah (Paul); R. Eeles (Rosalind); Chatterjee, N. (Nilanjan); F.R. Schumacher (Fredrick R); J.M. Schildkraut (Joellen); S. Lindstrom (Stephen); P. Brennan (Paul); H. Bickeböller (Heike); R. Houlston (Richard); M.T. Landi (Maria Teresa); N.E. Caporaso (Neil); Risch, A. (Angela); A.A. Al Olama (Ali Amin); S.I. Berndt (Sonja); Giovannucci, E.L. (Edward L.); H. Grönberg (Henrik); Z. Kote-Jarai; Ma, J. (Jing); K.R. Muir (K.); M.J. Stampfer (Meir J.); Stevens, V.L. (Victoria L.); F. Wiklund (Fredrik); W.C. Willett (Walter C.); E.L. Goode (Ellen); Permuth, J.B. (Jennifer B.); H. Risch (Harvey); Reid, B.M. (Brett M.); Bezieau, S. (Stephane); H. Brenner (Hermann); Chan, A.T. (Andrew T.); J. Chang-Claude (Jenny); T.J. Hudson (Thomas); Kocarnik, J.K. (Jonathan K.); P. Newcomb (Polly); Schoen, R.E. (Robert E.); Slattery, M.L. (Martha L.); White, E. (Emily); M.A. Adank (Muriel); H. Ahsan (Habibul); K. Aittomäki (Kristiina); Baglietto, L. (Laura); Blomquist, C. (Carl); F. Canzian (Federico); K. Czene (Kamila); I. dos Santos Silva (Isabel); Eliassen, A.H. (A. Heather); J.D. Figueroa (Jonine); D. Flesch-Janys (Dieter); O. Fletcher (Olivia); M. García-Closas (Montserrat); M.M. Gaudet (Mia); Johnson, N. (Nichola); P. Hall (Per); A. Hazra (Aditi); R. Hein (Rebecca); Hofman, A. (Albert); J.L. Hopper (John); A. Irwanto (Astrid); M. Johansson (Mattias); R. Kaaks (Rudolf); M.G. Kibriya (Muhammad); P. Lichtner (Peter); J. Liu (Jianjun); E. Lund (Eiliv); Makalic, E. (Enes); A. Meindl (Alfons); B. Müller-Myhsok (B.); Muranen, T.A. (Taru A.); H. Nevanlinna (Heli); P.H.M. Peeters; J. Peto (Julian); R. Prentice (Ross); N. Rahman (Nazneen); M.-J. Sanchez (Maria-Jose); D.F. Schmidt (Daniel); R.K. Schmutzler (Rita); M.C. Southey (Melissa); Tamimi, R. (Rulla); S.P.L. Travis (Simon); C. Turnbull (Clare); Uitterlinden, A.G. (Andre G.); Z. Wang (Zhaoming); A.S. Whittemore (Alice); X.R. Yang (Xiaohong); W. Zheng (Wei); D. Buchanan (Daniel); G. Casey (Graham); G. Conti (Giario); C.K. Edlund (Christopher); S. Gallinger (Steve); R. Haile (Robert); M. Jenkins (Mark); Marchand, L. (Loïcle); Li, L. (Li); N.M. Lindor (Noralane); Schmit, S.L. (Stephanie L.); S.N. Thibodeau (Stephen); M.O. Woods (Michael); T. Rafnar (Thorunn); J. Gudmundsson (Julius); S.N. Stacey (Simon); Stefansson, K. (Kari); P. Sulem (Patrick); Chen, Y.A. (Y. Ann); J.P. Tyrer (Jonathan); Christiani, D.C. (David C.); Wei, Y. (Yongyue); H. Shen (Hongbing); Z. Hu (Zhibin); X.-O. Shu (Xiao-Ou); Shiraishi, K. (Kouya); A. Takahashi (Atsushi); Y. Bossé (Yohan); M. Obeidat; D.C. Nickle (David C.); W. Timens (Wim); M. Freedman (Matthew); Li, Q. (Qiyuan); D. Seminara (Daniela); S.J. Chanock (Stephen); Gong, J. (Jian); U. Peters (Ulrike); S.B. Gruber (Stephen); Amos, C.I. (Christopher I.); T.A. Sellers (Thomas A.); D.F. Easton (Douglas F.); D. Hunter (David); C.A. Haiman (Christopher A.); B.E. Henderson (Brian); R.J. Hung (Rayjean)

    2016-01-01

    textabstractIdentifying genetic variants with pleiotropic associations can uncover common pathways influencing multiple cancers. We took a two-stage approach to conduct genome-wide association studies for lung, ovary, breast, prostate, and colorectal cancer from the GAME-ON/GECCO Network (61,851 cas

  7. Cross-cancer genome-wide analysis of lung, ovary, breast, prostate, and colorectal cancer reveals novel pleiotropic associations

    NARCIS (Netherlands)

    Fehringer, Gordon; Kraft, Peter; Pharoah, Paul D.; Eeles, Rosalind A.; Chatterjee, Nilanjan; Schumacher, Fredrick R.; Schildkraut, Joellen M.; Lindström, Sara; Brennan, Paul; Bickeböller, Heike; Houlston, Richard S.; Landi, Maria Teresa; Caporaso, Neil; Risch, Angela; Al Olama, Ali Amin; Berndt, Sonja I.; Giovannucci, Edward L.; Grönberg, Henrik; Kote-Jarai, Zsofia; Ma, Jing; Muir, Kenneth; Stampfer, Meir J.; Stevens, Victoria L.; Wiklund, Fredrik; Willett, Walter C.; Goode, Ellen L.; Permuth, Jennifer B.; Risch, Harvey A.; Reid, Brett M.; Bezieau, Stephane; Brenner, Hermann; Chan, Andrew T.; Chang-Claude, Jenny; Hudson, Thomas J.; Kocarnik, Jonathan K.; Newcomb, Polly A.; Schoen, Robert E.; Slattery, Martha L.; White, Emily; Adank, Muriel A.; Ahsan, Habibul; Aittomäki, Kristiina; Baglietto, Laura; Blomquist, Carl; Canzian, Federico; Czene, Kamila; Dos-Santos-silva, Isabel; Eliassen, A. Heather; Figueroa, Jonine D.; Flesch-Janys, Dieter; Fletcher, Olivia; Garcia-Closas, Montserrat; Gaudet, Mia M.; Johnson, Nichola; Hall, Per; Hazra, Aditi; Hein, Rebecca; Hofman, Albert; Hopper, John L.; Irwanto, Astrid; Johansson, Mattias; Kaaks, Rudolf; Kibriya, Muhammad G.; Lichtner, Peter; Liu, Jianjun; Lund, Eiliv; Makalic, Enes; Meindl, Alfons; Müller-Myhsok, Bertram; Muranen, Taru A.; Nevanlinna, Heli; Peeters, Petra H.; Peto, Julian; Prentice, Ross L.; Rahman, Nazneen; Sanchez, Maria Jose; Schmidt, Daniel F.; Schmutzler, Rita K.; Southey, Melissa C.; Tamimi, Rulla; Travis, Ruth C.; Turnbull, Clare; Uitterlinden, Andre G.; Wang, Zhaoming; Whittemore, Alice S.; Yang, Xiaohong R.; Zheng, Wei; Buchanan, Daniel D.; Casey, Graham; Conti, David V.; Edlund, Christopher K.; Gallinger, Steven; Haile, Robert W.; Jenkins, Mark; Marchand, Loïcle; Li, Li; Lindor, Noralene M.; Schmit, Stephanie L.; Thibodeau, Stephen N.; Woods, Michael O.; Rafnar, Thorunn; Gudmundsson, Julius; Stacey, Simon N.; Stefansson, Kari; Sulem, Patrick; Chen, Y. Ann; Tyrer, Jonathan P.; Christiani, David C.; Wei, Yongyue; Shen, Hongbing; Hu, Zhibin; Shu, Xiao Ou; Shiraishi, Kouya; Takahashi, Atsushi; Bossé, Yohan; Obeidat, Ma'en; Nickle, David; Timens, Wim; Freedman, Matthew L.; Li, Qiyuan; Seminara, Daniela; Chanock, Stephen J.; Gong, Jian; Peters, Ulrike; Gruber, Stephen B.; Amos, Christopher I.; Sellers, Thomas A.; Easton, Douglas F.; Hunter, David J.; Haiman, Christopher A.; Henderson, Brian E.; Hung, Rayjean J.

    2016-01-01

    Identifying genetic variants with pleiotropic associations can uncover common pathways influencing multiple cancers. We took a two-stage approach to conduct genome-wide association studies for lung, ovary, breast, prostate, and colorectal cancer from the GAME-ON/GECCO Network (61,851 cases, 61,820 c

  8. Genome-wide association study identifies novel breast cancer susceptibility loci

    Science.gov (United States)

    Easton, Douglas F.; Pooley, Karen A.; Dunning, Alison M.; Pharoah, Paul D. P.; Thompson, Deborah; Ballinger, Dennis G.; Struewing, Jeffery P.; Morrison, Jonathan; Field, Helen; Luben, Robert; Wareham, Nicholas; Ahmed, Shahana; Healey, Catherine S.; Bowman, Richard; Meyer, Kerstin B.; Haiman, Christopher A.; Kolonel, Laurence K.; Henderson, Brian E.; Marchand, Loic Le; Brennan, Paul; Sangrajrang, Suleeporn; Gaborieau, Valerie; Odefrey, Fabrice; Shen, Chen-Yang; Wu, Pei-Ei; Wang, Hui-Chun; Eccles, Diana; Evans, D. Gareth; Peto, Julian; Fletcher, Olivia; Johnson, Nichola; Seal, Sheila; Stratton, Michael R.; Rahman, Nazneen; Chenevix-Trench, Georgia; Bojesen, Stig E.; Nordestgaard, Børge G.; Axelsson, Christen K.; Garcia-Closas, Montserrat; Brinton, Louise; Chanock, Stephen; Lissowska, Jolanta; Peplonska, Beata; Nevanlinna, Heli; Fagerholm, Rainer; Eerola, Hannaleena; Kang, Daehee; Yoo, Keun-Young; Noh, Dong-Young; Ahn, Sei-Hyun; Hunter, David J.; Hankinson, Susan E.; Cox, David G.; Hall, Per; Wedren, Sara; Liu, Jianjun; Low, Yen-Ling; Bogdanova, Natalia; Schürmann, Peter; Dörk, Thilo; Tollenaar, Rob A. E. M.; Jacobi, Catharina E.; Devilee, Peter; Klijn, Jan G. M.; Sigurdson, Alice J.; Doody, Michele M.; Alexander, Bruce H.; Zhang, Jinghui; Cox, Angela; Brock, Ian W.; MacPherson, Gordon; Reed, Malcolm W. R.; Couch, Fergus J.; Goode, Ellen L.; Olson, Janet E.; Meijers-Heijboer, Hanne; van den Ouweland, Ans; Uitterlinden, André; Rivadeneira, Fernando; Milne, Roger L.; Ribas, Gloria; Gonzalez-Neira, Anna; Benitez, Javier; Hopper, John L.; McCredie, Margaret; Southey, Melissa; Giles, Graham G.; Schroen, Chris; Justenhoven, Christina; Brauch, Hiltrud; Hamann, Ute; Ko, Yon-Dschun; Spurdle, Amanda B.; Beesley, Jonathan; Chen, Xiaoqing; Mannermaa, Arto; Kosma, Veli-Matti; Kataja, Vesa; Hartikainen, Jaana; Day, Nicholas E.; Cox, David R.; Ponder, Bruce A. J.; Luccarini, Craig; Conroy, Don; Shah, Mitul; Munday, Hannah; Jordan, Clare; Perkins, Barbara; West, Judy; Redman, Karen; Driver, Kristy; Aghmesheh, Morteza; Amor, David; Andrews, Lesley; Antill, Yoland; Armes, Jane; Armitage, Shane; Arnold, Leanne; Balleine, Rosemary; Begley, Glenn; Beilby, John; Bennett, Ian; Bennett, Barbara; Berry, Geoffrey; Blackburn, Anneke; Brennan, Meagan; Brown, Melissa; Buckley, Michael; Burke, Jo; Butow, Phyllis; Byron, Keith; Callen, David; Campbell, Ian; Chenevix-Trench, Georgia; Clarke, Christine; Colley, Alison; Cotton, Dick; Cui, Jisheng; Culling, Bronwyn; Cummings, Margaret; Dawson, Sarah-Jane; Dixon, Joanne; Dobrovic, Alexander; Dudding, Tracy; Edkins, Ted; Eisenbruch, Maurice; Farshid, Gelareh; Fawcett, Susan; Field, Michael; Firgaira, Frank; Fleming, Jean; Forbes, John; Friedlander, Michael; Gaff, Clara; Gardner, Mac; Gattas, Mike; George, Peter; Giles, Graham; Gill, Grantley; Goldblatt, Jack; Greening, Sian; Grist, Scott; Haan, Eric; Harris, Marion; Hart, Stewart; Hayward, Nick; Hopper, John; Humphrey, Evelyn; Jenkins, Mark; Jones, Alison; Kefford, Rick; Kirk, Judy; Kollias, James; Kovalenko, Sergey; Lakhani, Sunil; Leary, Jennifer; Lim, Jacqueline; Lindeman, Geoff; Lipton, Lara; Lobb, Liz; Maclurcan, Mariette; Mann, Graham; Marsh, Deborah; McCredie, Margaret; McKay, Michael; McLachlan, Sue Anne; Meiser, Bettina; Milne, Roger; Mitchell, Gillian; Newman, Beth; O'Loughlin, Imelda; Osborne, Richard; Peters, Lester; Phillips, Kelly; Price, Melanie; Reeve, Jeanne; Reeve, Tony; Richards, Robert; Rinehart, Gina; Robinson, Bridget; Rudzki, Barney; Salisbury, Elizabeth; Sambrook, Joe; Saunders, Christobel; Scott, Clare; Scott, Elizabeth; Scott, Rodney; Seshadri, Ram; Shelling, Andrew; Southey, Melissa; Spurdle, Amanda; Suthers, Graeme; Taylor, Donna; Tennant, Christopher; Thorne, Heather; Townshend, Sharron; Tucker, Kathy; Tyler, Janet; Venter, Deon; Visvader, Jane; Walpole, Ian; Ward, Robin; Waring, Paul; Warner, Bev; Warren, Graham; Watson, Elizabeth; Williams, Rachael; Wilson, Judy; Winship, Ingrid; Young, Mary Ann; Bowtell, David; Green, Adele; deFazio, Anna; Chenevix-Trench, Georgia; Gertig, Dorota; Webb, Penny

    2009-01-01

    Breast cancer exhibits familial aggregation, consistent with variation in genetic susceptibility to the disease. Known susceptibility genes account for less than 25% of the familial risk of breast cancer, and the residual genetic variance is likely to be due to variants conferring more moderate risks. To identify further susceptibility alleles, we conducted a two-stage genome-wide association study in 4,398 breast cancer cases and 4,316 controls, followed by a third stage in which 30 single nucleotide polymorphisms (SNPs) were tested for confirmation in 21,860 cases and 22,578 controls from 22 studies. We used 227,876 SNPs that were estimated to correlate with 77% of known common SNPs in Europeans at r2>0.5. SNPs in five novel independent loci exhibited strong and consistent evidence of association with breast cancer (P<10−7). Four of these contain plausible causative genes (FGFR2, TNRC9, MAP3K1 and LSP1). At the second stage, 1,792 SNPs were significant at the P<0.05 level compared with an estimated 1,343 that would be expected by chance, indicating that many additional common susceptibility alleles may be identifiable by this approach. PMID:17529967

  9. Genome-wide association studies identify four ER negative–specific breast cancer risk loci

    Science.gov (United States)

    Garcia-Closas, Montserrat; Couch, Fergus J; Lindstrom, Sara; Michailidou, Kyriaki; Schmidt, Marjanka K; Brook, Mark N; orr, Nick; Rhie, Suhn Kyong; Riboli, Elio; Feigelson, Heather s; Le Marchand, Loic; Buring, Julie E; Eccles, Diana; Miron, Penelope; Fasching, Peter A; Brauch, Hiltrud; Chang-Claude, Jenny; Carpenter, Jane; Godwin, Andrew K; Nevanlinna, Heli; Giles, Graham G; Cox, Angela; Hopper, John L; Bolla, Manjeet K; Wang, Qin; Dennis, Joe; Dicks, Ed; Howat, Will J; Schoof, Nils; Bojesen, Stig E; Lambrechts, Diether; Broeks, Annegien; Andrulis, Irene L; Guénel, Pascal; Burwinkel, Barbara; Sawyer, Elinor J; Hollestelle, Antoinette; Fletcher, Olivia; Winqvist, Robert; Brenner, Hermann; Mannermaa, Arto; Hamann, Ute; Meindl, Alfons; Lindblom, Annika; Zheng, Wei; Devillee, Peter; Goldberg, Mark S; Lubinski, Jan; Kristensen, Vessela; Swerdlow, Anthony; Anton-Culver, Hoda; Dörk, Thilo; Muir, Kenneth; Matsuo, Keitaro; Wu, Anna H; Radice, Paolo; Teo, Soo Hwang; Shu, Xiao-Ou; Blot, William; Kang, Daehee; Hartman, Mikael; Sangrajrang, Suleeporn; Shen, Chen-Yang; Southey, Melissa C; Park, Daniel J; Hammet, Fleur; Stone, Jennifer; Veer, Laura J Van’t; Rutgers, Emiel J; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Peto, Julian; Schrauder, Michael G; Ekici, Arif B; Beckmann, Matthias W; Silva, Isabel dos Santos; Johnson, Nichola; Warren, Helen; Tomlinson, Ian; Kerin, Michael J; Miller, Nicola; Marme, Federick; Schneeweiss, Andreas; Sohn, Christof; Truong, Therese; Laurent-Puig, Pierre; Kerbrat, Pierre; Nordestgaard, Børge G; Nielsen, Sune F; Flyger, Henrik; Milne, Roger L; Perez, Jose Ignacio Arias; Menéndez, Primitiva; Müller, Heiko; Arndt, Volker; Stegmaier, Christa; Lichtner, Peter; Lochmann, Magdalena; Justenhoven, Christina; Ko, Yon-Dschun; Muranen, Taru A; Aittomäki, Kristiina; Blomqvist, Carl; Greco, Dario; Heikkinen, Tuomas; Ito, Hidemi; Iwata, Hiroji; Yatabe, Yasushi; Antonenkova, Natalia N; Margolin, Sara; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Balleine, Rosemary; Tseng, Chiu-Chen; Van Den Berg, David; Stram, Daniel O; Neven, Patrick; Dieudonné, Anne-Sophie; Leunen, Karin; Rudolph, Anja; Nickels, Stefan; Flesch-Janys, Dieter; Peterlongo, Paolo; Peissel, Bernard; Bernard, Loris; Olson, Janet E; Wang, Xianshu; Stevens, Kristen; Severi, Gianluca; Baglietto, Laura; Mclean, Catriona; Coetzee, Gerhard A; Feng, Ye; Henderson, Brian E; Schumacher, Fredrick; Bogdanova, Natalia V; Labrèche, France; Dumont, Martine; Yip, Cheng Har; Taib, Nur Aishah Mohd; Cheng, Ching-Yu; Shrubsole, Martha; Long, Jirong; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Kauppila, Saila; knight, Julia A; Glendon, Gord; Mulligan, Anna Marie; Tollenaar, Robertus A E M; Seynaeve, Caroline M; Kriege, Mieke; Hooning, Maartje J; Van den Ouweland, Ans M W; Van Deurzen, Carolien H M; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Balasubramanian, Sabapathy P; Cross, Simon S; Reed, Malcolm W R; Signorello, Lisa; Cai, Qiuyin; Shah, Mitul; Miao, Hui; Chan, Ching Wan; Chia, Kee Seng; Jakubowska, Anna; Jaworska, Katarzyna; Durda, Katarzyna; Hsiung, Chia-Ni; Wu, Pei-Ei; Yu, Jyh-Cherng; Ashworth, Alan; Jones, Michael; Tessier, Daniel C; González-Neira, Anna; Pita, Guillermo; Alonso, M Rosario; Vincent, Daniel; Bacot, Francois; Ambrosone, Christine B; Bandera, Elisa V; John, Esther M; Chen, Gary K; Hu, Jennifer J; Rodriguez-gil, Jorge L; Bernstein, Leslie; Press, Michael F; Ziegler, Regina G; Millikan, Robert M; Deming-Halverson, Sandra L; Nyante, Sarah; Ingles, Sue A; Waisfisz, Quinten; Tsimiklis, Helen; Makalic, Enes; Schmidt, Daniel; Bui, Minh; Gibson, Lorna; Müller-Myhsok, Bertram; Schmutzler, Rita K; Hein, Rebecca; Dahmen, Norbert; Beckmann, Lars; Aaltonen, Kirsimari; Czene, Kamila; Irwanto, Astrid; Liu, Jianjun; Turnbull, Clare; Rahman, Nazneen; Meijers-Heijboer, Hanne; Uitterlinden, Andre G; Rivadeneira, Fernando; Olswold, Curtis; Slager, Susan; Pilarski, Robert; Ademuyiwa, Foluso; Konstantopoulou, Irene; Martin, Nicholas G; Montgomery, Grant W; Slamon, Dennis J; Rauh, Claudia; Lux, Michael P; Jud, Sebastian M; Bruning, Thomas; Weaver, Joellen; Sharma, Priyanka; Pathak, Harsh; Tapper, Will; Gerty, Sue; Durcan, Lorraine; Trichopoulos, Dimitrios; Tumino, Rosario; Peeters, Petra H; Kaaks, Rudolf; Campa, Daniele; Canzian, Federico; Weiderpass, Elisabete; Johansson, Mattias; Khaw, Kay-Tee; Travis, Ruth; Clavel-Chapelon, Françoise; Kolonel, Laurence N; Chen, Constance; Beck, Andy; Hankinson, Susan E; Berg, Christine D; Hoover, Robert N; Lissowska, Jolanta; Figueroa, Jonine D

    2013-01-01

    Estrogen receptor (ER)-negative tumors represent 20–30% of all breast cancers, with a higher proportion occurring in younger women and women of African ancestry1. The etiology2 and clinical behavior3 of ER-negative tumors are different from those of tumors expressing ER (ER positive), including differences in genetic predisposition4. To identify susceptibility loci specific to ER-negative disease, we combined in a meta-analysis 3 genome-wide association studies of 4,193 ER-negative breast cancer cases and 35,194 controls with a series of 40 follow-up studies (6,514 cases and 41,455 controls), genotyped using a custom Illumina array, iCOGS, developed by the Collaborative Oncological Gene-environment Study (COGS). SNPs at four loci, 1q32.1 (MDM4, P = 2.1 × 10−12 and LGR6, P = 1.4 × 10−8), 2p24.1 (P = 4.6 × 10−8) and 16q12.2 (FTO, P = 4.0 × 10−8), were associated with ER-negative but not ER-positive breast cancer (P > 0.05). These findings provide further evidence for distinct etiological pathways associated with invasive ER-positive and ER-negative breast cancers. PMID:23535733

  10. Genome-wide transcript profiling reveals novel breast cancer-associated intronic sense RNAs.

    Science.gov (United States)

    Kim, Sang Woo; Fishilevich, Elane; Arango-Argoty, Gustavo; Lin, Yuefeng; Liu, Guodong; Li, Zhihua; Monaghan, A Paula; Nichols, Mark; John, Bino

    2015-01-01

    Non-coding RNAs (ncRNAs) play major roles in development and cancer progression. To identify novel ncRNAs that may identify key pathways in breast cancer development, we performed high-throughput transcript profiling of tumor and normal matched-pair tissue samples. Initial transcriptome profiling using high-density genome-wide tiling arrays revealed changes in over 200 novel candidate genomic regions that map to intronic regions. Sixteen genomic loci were identified that map to the long introns of five key protein-coding genes, CRIM1, EPAS1, ZEB2, RBMS1, and RFX2. Consistent with the known role of the tumor suppressor ZEB2 in the cancer-associated epithelial to mesenchymal transition (EMT), in situ hybridization reveals that the intronic regions deriving from ZEB2 as well as those from RFX2 and EPAS1 are down-regulated in cells of epithelial morphology, suggesting that these regions may be important for maintaining normal epithelial cell morphology. Paired-end deep sequencing analysis reveals a large number of distinct genomic clusters with no coding potential within the introns of these genes. These novel transcripts are only transcribed from the coding strand. A comprehensive search for breast cancer associated genes reveals enrichment for transcribed intronic regions from these loci, pointing to an underappreciated role of introns or mechanisms relating to their biology in EMT and breast cancer.

  11. Genome-wide transcript profiling reveals novel breast cancer-associated intronic sense RNAs.

    Directory of Open Access Journals (Sweden)

    Sang Woo Kim

    Full Text Available Non-coding RNAs (ncRNAs play major roles in development and cancer progression. To identify novel ncRNAs that may identify key pathways in breast cancer development, we performed high-throughput transcript profiling of tumor and normal matched-pair tissue samples. Initial transcriptome profiling using high-density genome-wide tiling arrays revealed changes in over 200 novel candidate genomic regions that map to intronic regions. Sixteen genomic loci were identified that map to the long introns of five key protein-coding genes, CRIM1, EPAS1, ZEB2, RBMS1, and RFX2. Consistent with the known role of the tumor suppressor ZEB2 in the cancer-associated epithelial to mesenchymal transition (EMT, in situ hybridization reveals that the intronic regions deriving from ZEB2 as well as those from RFX2 and EPAS1 are down-regulated in cells of epithelial morphology, suggesting that these regions may be important for maintaining normal epithelial cell morphology. Paired-end deep sequencing analysis reveals a large number of distinct genomic clusters with no coding potential within the introns of these genes. These novel transcripts are only transcribed from the coding strand. A comprehensive search for breast cancer associated genes reveals enrichment for transcribed intronic regions from these loci, pointing to an underappreciated role of introns or mechanisms relating to their biology in EMT and breast cancer.

  12. Genome-wide analysis of alternative transcripts in human breast cancer

    Science.gov (United States)

    Wen, Ji; Toomer, Kevin H.

    2016-01-01

    Transcript variants play a critical role in diversifying gene expression. Alternative splicing is a major mechanism for generating transcript variants. A number of genes have been implicated in breast cancer pathogenesis with their aberrant expression of alternative transcripts. In this study, we performed genome-wide analyses of transcript variant expression in breast cancer. With RNA-Seq data from 105 patients, we characterized the transcriptome of breast tumors, by pairwise comparison of gene expression in the breast tumor versus matched healthy tissue from each patient. We identified 2839 genes, ~10 % of protein-coding genes in the human genome, that had differential expression of transcript variants between tumors and healthy tissues. The validity of the computational analysis was confirmed by quantitative RT-PCR assessment of transcript variant expression from four top candidate genes. The alternative transcript profiling led to classification of breast cancer into two subgroups and yielded a novel molecular signature that could be prognostic of patients’ tumor burden and survival. We uncovered nine splicing factors (FOX2, MBNL1, QKI, PTBP1, ELAVL1, HNRNPC, KHDRBS1, SFRS2, and TIAR) that were involved in aberrant splicing in breast cancer. Network analyses for the coordinative patterns of transcript variant expression identified twelve “hub” genes that differentiated the cancerous and normal transcriptomes. Dysregulated expression of alternative transcripts may reveal novel biomarkers for tumor development. It may also suggest new therapeutic targets, such as the “hub” genes identified through the network analyses of transcript variant expression, or splicing factors implicated in the formation of the tumor transcriptome. PMID:25913416

  13. An Integrated Genome-Wide Systems Genetics Screen for Breast Cancer Metastasis Susceptibility Genes.

    Directory of Open Access Journals (Sweden)

    Ling Bai

    2016-04-01

    Full Text Available Metastasis remains the primary cause of patient morbidity and mortality in solid tumors and is due to the action of a large number of tumor-autonomous and non-autonomous factors. Here we report the results of a genome-wide integrated strategy to identify novel metastasis susceptibility candidate genes and molecular pathways in breast cancer metastasis. This analysis implicates a number of transcriptional regulators and suggests cell-mediated immunity is an important determinant. Moreover, the analysis identified novel or FDA-approved drugs as potentially useful for anti-metastatic therapy. Further explorations implementing this strategy may therefore provide a variety of information for clinical applications in the control and treatment of advanced neoplastic disease.

  14. Common variants associated with breast cancer in genome-wide association studies are modifiers of breast cancer risk in BRCA1 and BRCA2 mutation carriers

    NARCIS (Netherlands)

    Wang, Xianshu; Pankratz, V. Shane; Fredericksen, Zachary; Tarrell, Robert; Karaus, Mary; McGuffog, Lesley; Pharaoh, Paul D. P.; Ponder, Bruce A. J.; Dunning, Alison M.; Peock, Susan; Cook, Margaret; Oliver, Clare; Frost, Debra; Sinilnikova, Olga M.; Stoppa-Lyonnet, Dominique; Mazoyer, Sylvie; Houdayer, Claude; Hogervorst, Frans B. L.; Hooning, Maartje J.; Ligtenberg, Marjolijn J.; Spurdle, Amanda; Chenevix-Trench, Georgia; Schmutzler, Rita K.; Wappenschmidt, Barbara; Engel, Christoph; Meindl, Alfons; Domchek, Susan M.; Nathanson, Katherine L.; Rebbeck, Timothy R.; Singer, Christian F.; Gschwantler-Kaulich, Daphne; Dressler, Catherina; Fink, Anneliese; Szabo, Csilla I.; Zikan, Michal; Foretova, Lenka; Claes, Kathleen; Thomas, Gilles; Hoover, Robert N.; Hunter, David J.; Chanock, Stephen J.; Easton, Douglas F.; Antoniou, Antonis C.; Couch, Fergus J.

    2010-01-01

    Recent studies have identified single nucleotide polymorphisms (SNPs) that significantly modify breast cancer risk in BRCA1 and BRCA2 mutation carriers. Since these risk modifiers were originally identified as genetic risk factors for breast cancer in genome-wide association studies (GWASs), additio

  15. Common variants associated with breast cancer in genome-wide association studies are modifiers of breast cancer risk in BRCA1 and BRCA2 mutation carriers.

    NARCIS (Netherlands)

    Wang, X.; Pankratz, V.S.; Fredericksen, Z.; Tarrell, R.; Karaus, M.; McGuffog, L.; Pharaoh, P.D.; Ponder, B.A.J.; Dunning, A.M.; Peock, S.; Cook, M.; Oliver, C.; Frost, D.; Sinilnikova, O.M.; Stoppa-Lyonnet, D.; Mazoyer, S.; Houdayer, C.; Hogervorst, F.B.L.; Hooning, M.J.; Ligtenberg, M.J.L.; Spurdle, A.; Chenevix-Trench, G.; Schmutzler, R.K.; Wappenschmidt, B.; Engel, C.; Meindl, A.; Domchek, S.M.; Nathanson, K.L.; Rebbeck, T.R.; Singer, C.F.; Gschwantler-Kaulich, D.; Dressler, C.; Fink, A.; Szabo, C.I.; Zikan, M.; Foretova, L.; Claes, K.; Thomas, G.; Hoover, R.N.; Hunter, D.J.; Chanock, S.J.; Easton, D.F.; Antoniou, A.C.; Couch, F.J.

    2010-01-01

    Recent studies have identified single nucleotide polymorphisms (SNPs) that significantly modify breast cancer risk in BRCA1 and BRCA2 mutation carriers. Since these risk modifiers were originally identified as genetic risk factors for breast cancer in genome-wide association studies (GWASs), additio

  16. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

    NARCIS (Netherlands)

    Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Sara; Canisius, Sander; Dennis, Joe; Lush, Michael J.; Maranian, Mel J.; Bolla, Manjeet K.; Wang, Qin; Shah, Mitul; Perkins, Barbara J.; Czene, Kamila; Eriksson, Mikael; Darabi, Hatef; Brand, Judith S.; Bojesen, Stig E.; Nordestgaard, Borge G.; Flyger, Henrik; Nielsen, Sune F.; Rahman, Nazneen; Turnbull, Clare; Fletcher, Olivia; Peto, Julian; Gibson, Lorna; dos-Santos-Silva, Isabel; Chang-Claude, Jenny; Flesch-Janys, Dieter; Rudolph, Anja; Eilber, Ursula; Behrens, Sabine; Nevanlinna, Heli; Muranen, Taru A.; Aittomaki, Kristiina; Blomqvist, Carl; Khan, Sofia; Aaltonen, Kirsimari; Ahsan, Habibul; Kibriya, Muhammad G.; Whittemore, Alice S.; John, Esther M.; Malone, Kathleen E.; Gammon, Marilie D.; Santella, Regina M.; Ursin, Giske; Makalic, Enes; Schmidt, Daniel F.; Casey, Graham; Hunter, David J.; Gapstur, Susan M.; Gaudet, Mia M.; Diver, W. Ryan; Haiman, Christopher A.; Schumacher, Fredrick; Henderson, Brian E.; Le Marchand, Loic; Berg, Christine D.; Chanock, Stephen J.; Figueroa, Jonine; Hoover, Robert N.; Lambrechts, Diether; Neven, Patrick; Wildiers, Hans; van Limbergen, Erik; Schmidt, Marjanka K.; Broeks, Annegien; Verhoef, Senno; Cornelissen, Sten; Couch, Fergus J.; Olson, Janet E.; Hallberg, Emily; Vachon, Celine; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel A.; van der Luijt, Rob B.; Li, Jingmei; Liu, Jianjun; Humphreys, Keith; Kang, Daehee; Choi, Ji-Yeob; Park, Sue K.; Yoo, Keun-Young; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Tajima, Kazuo; Guenel, Pascal; Truong, Therese; Mulot, Claire; Sanchez, Marie; Burwinkel, Barbara; Marme, Frederik; Surowy, Harald; Sohn, Christof; Wu, Anna H.; Tseng, Chiu-chen; Van den Berg, David; Stram, Daniel O.; Gonzalez-Neira, Anna; Benitez, Javier; Zamora, M. Pilar; Arias Perez, Jose Ignacio; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Cox, Angela; Cross, Simon S.; Reed, Malcolm W. R.; Andrulis, Irene L.; Knight, Julia A.; Glendon, Gord; Mulligan, Anna Marie; Sawyer, Elinor J.; Tomlinson, Ian; Kerin, Michael J.; Miller, Nicola; Lindblom, Annika; Margolin, Sara; Teo, Soo Hwang; Yip, Cheng Har; Taib, Nur Aishah Mohd; Tan, Gie-Hooi; Hooning, Maartje J.; Hollestelle, Antoinette; Martens, John W. M.; Collee, J. Margriet; Blot, William; Signorello, Lisa B.; Cai, Qiuyin; Hopper, John L.; Southey, Melissa C.; Tsimiklis, Helen; Apicella, Carmel; Shen, Chen-Yang; Hsiung, Chia-Ni; Wu, Pei-Ei; Hou, Ming-Feng; Kristensen, Vessela N.; Nord, Silje; Alnaes, Grethe I. Grenaker; Giles, Graham G.; Milne, Roger L.; McLean, Catriona; Canzian, Federico; Trichopoulos, Dimitrios; Peeters, Petra; Lund, Eiliv; Sund, Malin; Khaw, Kay-Tee; Gunter, Marc J.; Palli, Domenico; Mortensen, Lotte Maxild; Dossus, Laure; Huerta, Jose-Maria; Meindl, Alfons; Schmutzler, Rita K.; Sutter, Christian; Yang, Rongxi; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Hartman, Mikael; Miao, Hui; Chia, Kee Seng; Chan, Ching Wan; Fasching, Peter A.; Hein, Alexander; Beckmann, Matthias W.; Haeberle, Lothar; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Ashworth, Alan; Orr, Nick; Schoemaker, Minouk J.; Swerdlow, Anthony J.; Brinton, Louise; Garcia-Closas, Montserrat; Zheng, Wei; Halverson, Sandra L.; Shrubsole, Martha; Long, Jirong; Goldberg, Mark S.; Labreche, France; Dumont, Martine; Winqvist, Robert; Pylkas, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Brauch, Hiltrud; Hamann, Ute; Bruening, Thomas; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Bernard, Loris; Bogdanova, Natalia V.; Doerk, Thilo; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M.; Devilee, Peter; Tollenaar, Robert A. E. M.; Seynaeve, Caroline; Van Asperen, Christi J.; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Huzarski, Tomasz; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; Mckay, James; Slager, Susan; Toland, Amanda E.; Ambrosone, Christine B.; Yannoukakos, Drakoulis; Kabisch, Maria; Torres, Diana; Neuhausen, Susan L.; Anton-Culver, Hoda; Luccarini, Craig; Baynes, Caroline; Ahmed, Shahana; Healey, Catherine S.; Tessier, Daniel C.; Vincent, Daniel; Bacot, Francois; Pita, Guillermo; Rosario Alonso, M.; Alvarez, Nuria; Herrero, Daniel; Simard, Jacques; Pharoah, Paul P. D. P.; Kraft, Peter; Dunning, Alison M.; Chenevix-Trench, Georgia; Hall, Per; Easton, Douglas F.

    2015-01-01

    Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining similar to 14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising

  17. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

    NARCIS (Netherlands)

    K. Michailidou (Kyriaki); J. Beesley (Jonathan); S. Lindstrom (Stephen); S. Canisius (Sander); J. Dennis (Joe); M. Lush (Michael); M. Maranian (Melanie); M.K. Bolla (Manjeet); Q. Wang (Qing); M. Shah (Mitul); B. Perkins (Barbara); K. Czene (Kamila); M. Eriksson (Mikael); H. Darabi (Hatef); J.S. Brand (Judith S.); S.E. Bojesen (Stig); B.G. Nordestgaard (Børge); H. Flyger (Henrik); S.F. Nielsen (Sune); N. Rahman (Nazneen); C. Turnbull (Clare); O. Fletcher (Olivia); J. Peto (Julian); L.J. Gibson (Lorna); I. dos Santos Silva (Isabel); J. Chang-Claude (Jenny); D. Flesch-Janys (Dieter); A. Rudolph (Anja); U. Eilber (Ursula); T.W. Behrens (Timothy); H. Nevanlinna (Heli); T.A. Muranen (Taru); K. Aittomäki (Kristiina); C. Blomqvist (Carl); S. Khan (Sofia); K. Aaltonen (Kirsimari); H. Ahsan (Habibul); M.G. Kibriya (Muhammad); A.S. Whittemore (Alice S.); E.M. John (Esther M.); K.E. Malone (Kathleen E.); M.D. Gammon (Marilie); R.M. Santella (Regina M.); G. Ursin (Giske); E. Makalic (Enes); D.F. Schmidt (Daniel); G. Casey (Graham); D.J. Hunter (David J.); S.M. Gapstur (Susan M.); M.M. Gaudet (Mia); W.R. Diver (Ryan); C.A. Haiman (Christopher A.); F.R. Schumacher (Fredrick); B.E. Henderson (Brian); L. Le Marchand (Loic); C.D. Berg (Christine); S.J. Chanock (Stephen); J.D. Figueroa (Jonine); R.N. Hoover (Robert N.); D. Lambrechts (Diether); P. Neven (Patrick); H. Wildiers (Hans); E. van Limbergen (Erik); M.K. Schmidt (Marjanka); A. Broeks (Annegien); S. Verhoef; S. Cornelissen (Sten); F.J. Couch (Fergus); J.E. Olson (Janet); B. Hallberg (Boubou); C. Vachon (Celine); Q. Waisfisz (Quinten); E.J. Meijers-Heijboer (Hanne); M.A. Adank (Muriel); R.B. van der Luijt (Rob); J. Li (Jingmei); J. Liu (Jianjun); M.K. Humphreys (Manjeet); D. Kang (Daehee); J.-Y. Choi (Ji-Yeob); S.K. Park (Sue K.); K.Y. Yoo; K. Matsuo (Keitaro); H. Ito (Hidemi); H. Iwata (Hiroji); K. Tajima (Kazuo); P. Guénel (Pascal); T. Truong (Thérèse); C. Mulot (Claire); M. Sanchez (Marie); B. Burwinkel (Barbara); F. Marme (Federick); H. Surowy (Harald); C. Sohn (Christof); A.H. Wu (Anna H); C.-C. Tseng (Chiu-chen); D. Van Den Berg (David); D.O. Stram (Daniel O.); A. González-Neira (Anna); J. Benítez (Javier); M.P. Zamora (Pilar); J.I.A. Perez (Jose Ignacio Arias); X.-O. Shu (Xiao-Ou); W. Lu (Wei); Y. Gao; H. Cai (Hui); A. Cox (Angela); S.S. Cross (Simon); M.W.R. Reed (Malcolm); I.L. Andrulis (Irene); J.A. Knight (Julia); G. Glendon (Gord); A.-M. Mulligan (Anna-Marie); E.J. Sawyer (Elinor); I.P. Tomlinson (Ian); M. Kerin (Michael); N. Miller (Nicola); A. Lindblom (Annika); S. Margolin (Sara); S.H. Teo (Soo Hwang); C.H. Yip (Cheng Har); N.A.M. Taib (Nur Aishah Mohd); G.-H. Tan (Gie-Hooi); M.J. Hooning (Maartje); A. Hollestelle (Antoinette); J.W.M. Martens (John); J. Margriet Collée; W.J. Blot (William); L.B. Signorello (Lisa B.); Q. Cai (Qiuyin); J. Hopper (John); M.C. Southey (Melissa); H. Tsimiklis (Helen); C. Apicella (Carmel); C-Y. Shen (Chen-Yang); C.-N. Hsiung (Chia-Ni); P.-E. Wu (Pei-Ei); M.-F. Hou (Ming-Feng); V. Kristensen (Vessela); S. Nord (Silje); G.G. Alnæs (Grethe Grenaker); G.G. Giles (Graham G.); R.L. Milne (Roger); C.A. McLean (Catriona Ann); F. Canzian (Federico); D. Trichopoulos (Dimitrios); P.H.M. Peeters; E. Lund (Eiliv); R. Sund (Reijo); K.T. Khaw; M.J. Gunter (Marc J.); D. Palli (Domenico); L.M. Mortensen (Lotte Maxild); L. Dossus (Laure); J.-M. Huerta (Jose-Maria); A. Meindl (Alfons); R.K. Schmutzler (Rita); C. Sutter (Christian); R. Yang (Rongxi); K. Muir (Kenneth); A. Lophatananon (Artitaya); S. Stewart-Brown (Sarah); P. Siriwanarangsan (Pornthep); J.M. Hartman (Joost); X. Miao; K.S. Chia (Kee Seng); C.W. Chan (Ching Wan); P.A. Fasching (Peter); R. Hein (Rebecca); M.W. Beckmann (Matthias W.); L. Haeberle (Lothar); H. Brenner (Hermann); A.K. Dieffenbach (Aida Karina); V. Arndt (Volker); C. Stegmaier (Christa); A. Ashworth (Alan); N. Orr (Nick); M. Schoemaker (Minouk); A.J. Swerdlow (Anthony ); L.A. Brinton (Louise); M. García-Closas (Montserrat); W. Zheng (Wei); S.L. Halverson (Sandra L.); M. Shrubsole (Martha); J. Long (Jirong); M.S. Goldberg (Mark); F. Labrèche (France); M. Dumont (Martine); R. Winqvist (Robert); K. Pykäs (Katri); A. Jukkola-Vuorinen (Arja); M. Grip (Mervi); H. Brauch (Hiltrud); U. Hamann (Ute); T. Brüning (Thomas); P. Radice (Paolo); P. Peterlongo (Paolo); S. Manoukian (Siranoush); L. Bernard (Loris); N.V. Bogdanova (Natalia); T. Dörk (Thilo); A. Mannermaa (Arto); V. Kataja (Vesa); V-M. Kosma (Veli-Matti); J.M. Hartikainen (J.); P. Devilee (Peter); R.A.E.M. Tollenaar (Rob); C.M. Seynaeve (Caroline); C.J. van Asperen (Christi); A. Jakubowska (Anna); J. Lubinski (Jan); K. Jaworska (Katarzyna); T. Huzarski (Tomasz); S. Sangrajrang (Suleeporn); V. Gaborieau (Valerie); P. Brennan (Paul); J.D. McKay (James); S. Slager (Susan); A.E. Toland (Amanda); C.B. Ambrosone (Christine B.); D. Yannoukakos (Drakoulis); M. Kabisch (Maria); D. Torres (Diana); S.L. Neuhausen (Susan); H. Anton-Culver (Hoda); C. Luccarini (Craig); C. Baynes (Caroline); S. Ahmed (Shahana); S. Healey (Sue); D.C. Tessier (Daniel C.); D. Vincent (Daniel); F. Bacot (Francois); G. Pita (G.); M.R. Alonso (M Rosario); N. Álvarez (Nuria); D. Herrero (Daniel); J. Simard (Jacques); P.P.D.P. Pharoah (Paul P.D.P.); P. Kraft (Peter); A.M. Dunning (Alison); G. Chenevix-Trench (Georgia); P. Hall (Per); D.F. Easton (Douglas)

    2015-01-01

    textabstractGenome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ∼14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprisi

  18. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

    DEFF Research Database (Denmark)

    Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Sara

    2015-01-01

    Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ∼14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising 15,748...

  19. Genome-wide association study in east Asians identifies novel susceptibility loci for breast cancer.

    Directory of Open Access Journals (Sweden)

    Jirong Long

    Full Text Available Genetic factors play an important role in the etiology of both sporadic and familial breast cancer. We aimed to discover novel genetic susceptibility loci for breast cancer. We conducted a four-stage genome-wide association study (GWAS in 19,091 cases and 20,606 controls of East-Asian descent including Chinese, Korean, and Japanese women. After analyzing 690,947 SNPs in 2,918 cases and 2,324 controls, we evaluated 5,365 SNPs for replication in 3,972 cases and 3,852 controls. Ninety-four SNPs were further evaluated in 5,203 cases and 5,138 controls, and finally the top 22 SNPs were investigated in up to 17,423 additional subjects (7,489 cases and 9,934 controls. SNP rs9485372, near the TGF-β activated kinase (TAB2 gene in chromosome 6q25.1, showed a consistent association with breast cancer risk across all four stages, with a P-value of 3.8×10(-12 in the combined analysis of all samples. Adjusted odds ratios (95% confidence intervals were 0.89 (0.85-0.94 and 0.80 (0.75-0.86 for the A/G and A/A genotypes, respectively, compared with the genotype G/G. SNP rs9383951 (P = 1.9×10(-6 from the combined analysis of all samples, located in intron 5 of the ESR1 gene, and SNP rs7107217 (P = 4.6×10(-7, located at 11q24.3, also showed a consistent association in each of the four stages. This study provides strong evidence for a novel breast cancer susceptibility locus represented by rs9485372, near the TAB2 gene (6q25.1, and identifies two possible susceptibility loci located in the ESR1 gene and 11q24.3, respectively.

  20. Cross-Cancer Genome-Wide Analysis of Lung, Ovary, Breast, Prostate, and Colorectal Cancer Reveals Novel Pleiotropic Associations.

    Science.gov (United States)

    Fehringer, Gordon; Kraft, Peter; Pharoah, Paul D; Eeles, Rosalind A; Chatterjee, Nilanjan; Schumacher, Fredrick R; Schildkraut, Joellen M; Lindström, Sara; Brennan, Paul; Bickeböller, Heike; Houlston, Richard S; Landi, Maria Teresa; Caporaso, Neil; Risch, Angela; Amin Al Olama, Ali; Berndt, Sonja I; Giovannucci, Edward L; Grönberg, Henrik; Kote-Jarai, Zsofia; Ma, Jing; Muir, Kenneth; Stampfer, Meir J; Stevens, Victoria L; Wiklund, Fredrik; Willett, Walter C; Goode, Ellen L; Permuth, Jennifer B; Risch, Harvey A; Reid, Brett M; Bezieau, Stephane; Brenner, Hermann; Chan, Andrew T; Chang-Claude, Jenny; Hudson, Thomas J; Kocarnik, Jonathan K; Newcomb, Polly A; Schoen, Robert E; Slattery, Martha L; White, Emily; Adank, Muriel A; Ahsan, Habibul; Aittomäki, Kristiina; Baglietto, Laura; Blomquist, Carl; Canzian, Federico; Czene, Kamila; Dos-Santos-Silva, Isabel; Eliassen, A Heather; Figueroa, Jonine D; Flesch-Janys, Dieter; Fletcher, Olivia; Garcia-Closas, Montserrat; Gaudet, Mia M; Johnson, Nichola; Hall, Per; Hazra, Aditi; Hein, Rebecca; Hofman, Albert; Hopper, John L; Irwanto, Astrid; Johansson, Mattias; Kaaks, Rudolf; Kibriya, Muhammad G; Lichtner, Peter; Liu, Jianjun; Lund, Eiliv; Makalic, Enes; Meindl, Alfons; Müller-Myhsok, Bertram; Muranen, Taru A; Nevanlinna, Heli; Peeters, Petra H; Peto, Julian; Prentice, Ross L; Rahman, Nazneen; Sanchez, Maria Jose; Schmidt, Daniel F; Schmutzler, Rita K; Southey, Melissa C; Tamimi, Rulla; Travis, Ruth C; Turnbull, Clare; Uitterlinden, Andre G; Wang, Zhaoming; Whittemore, Alice S; Yang, Xiaohong R; Zheng, Wei; Buchanan, Daniel D; Casey, Graham; Conti, David V; Edlund, Christopher K; Gallinger, Steven; Haile, Robert W; Jenkins, Mark; Le Marchand, Loïc; Li, Li; Lindor, Noralene M; Schmit, Stephanie L; Thibodeau, Stephen N; Woods, Michael O; Rafnar, Thorunn; Gudmundsson, Julius; Stacey, Simon N; Stefansson, Kari; Sulem, Patrick; Chen, Y Ann; Tyrer, Jonathan P; Christiani, David C; Wei, Yongyue; Shen, Hongbing; Hu, Zhibin; Shu, Xiao-Ou; Shiraishi, Kouya; Takahashi, Atsushi; Bossé, Yohan; Obeidat, Ma'en; Nickle, David; Timens, Wim; Freedman, Matthew L; Li, Qiyuan; Seminara, Daniela; Chanock, Stephen J; Gong, Jian; Peters, Ulrike; Gruber, Stephen B; Amos, Christopher I; Sellers, Thomas A; Easton, Douglas F; Hunter, David J; Haiman, Christopher A; Henderson, Brian E; Hung, Rayjean J

    2016-09-01

    Identifying genetic variants with pleiotropic associations can uncover common pathways influencing multiple cancers. We took a two-stage approach to conduct genome-wide association studies for lung, ovary, breast, prostate, and colorectal cancer from the GAME-ON/GECCO Network (61,851 cases, 61,820 controls) to identify pleiotropic loci. Findings were replicated in independent association studies (55,789 cases, 330,490 controls). We identified a novel pleiotropic association at 1q22 involving breast and lung squamous cell carcinoma, with eQTL analysis showing an association with ADAM15/THBS3 gene expression in lung. We also identified a known breast cancer locus CASP8/ALS2CR12 associated with prostate cancer, a known cancer locus at CDKN2B-AS1 with different variants associated with lung adenocarcinoma and prostate cancer, and confirmed the associations of a breast BRCA2 locus with lung and serous ovarian cancer. This is the largest study to date examining pleiotropy across multiple cancer-associated loci, identifying common mechanisms of cancer development and progression. Cancer Res; 76(17); 5103-14. ©2016 AACR.

  1. Cross-cancer genome-wide analysis of lung, ovary, breast, prostate and colorectal cancer reveals novel pleiotropic associations

    Science.gov (United States)

    Fehringer, Gordon; Kraft, Peter; Pharoah, Paul D.; Eeles, Rosalind A.; Chatterjee, Nilanjan; Schumacher, Fred; Schildkraut, Joellen; Lindström, Sara; Brennan, Paul; Bickeböller, Heike; Houlston, Richard S.; Landi, Maria Teresa; Caporaso, Neil; Risch, Angela; Olama, Ali Amin Al; Berndt, Sonja I; Giovannucci, Edward; Grönberg, Henrik; Kote-Jarai, Zsofia; Ma, Jing; Muir, Kenneth; Stampfer, Meir; Stevens, Victoria L.; Wiklund, Fredrik; Willett, Walter; Goode, Ellen L.; Permuth, Jennifer; Risch, Harvey A.; Reid, Brett M.; Bezieau, Stephane; Brenner, Hermann; Chan, Andrew T.; Chang-Claude, Jenny; Hudson, Thomas J.; Kocarnik, Jonathan K.; Newcomb, Polly A.; Schoen, Robert E.; Slattery, Martha L.; White, Emily; Adank, Muriel A.; Ahsan, Habibul; Aittomäki, Kristiina; Baglietto, Laura; Blomquist, Carl; Canzian, Federico; Czene, Kamila; dos-Santos-Silva, Isabel; Eliassen, A. Heather; Figueroa, Jonine; Flesch-Janys, Dieter; Fletcher, Olivia; Garcia-Closas, Montserrat; Gaudet, Mia M.; Johnson, Nichola; Hall, Per; Hazra, Aditi; Hein, Rebecca; Hofman, Albert; Hopper, John L.; Irwanto, Astrid; Johansson, Mattias; Kaaks, Rudolf; Kibriya, Muhammad G.; Lichtner, Peter; Liu, Jianjun; Lund, Eiliv; Makalic, Enes; Meindl, Alfons; Müller-Myhsok, Bertram; Muranen, Taru A.; Nevanlinna, Heli; Peeters, Petra H.; Peto, Julian; Prentice, Ross L.; Rahman, Nazneen; Sanchez, Maria Jose; Schmidt, Daniel F.; Schmutzler, Rita K.; Southey, Melissa C.; Tamimi, Rulla; Travis, Ruth C.; Turnbull, Clare; Uitterlinden, Andre G.; Wang, Zhaoming; Whittemore, Alice S.; Yang, Xiaohong R.; Zheng, Wei; Rafnar, Thorunn; Gudmundsson, Julius; Stacey, Simon N.; Stefansson, Kari; Sulem, Patrick; Chen, Y. Ann; Tyrer, Jonathan P.; Christiani, David C.; Wei, Yongyue; Shen, Hongbing; Hu, Zhibin; Shu, Xiao-Ou; Shiraishi, Kouya; Takahashi, Atsushi; Bossé, Yohan; Obeidat, Ma’en; Nickle, David; Timens, Wim; Freedman, Matthew L.; Li, Qiyuan; Seminara, Daniela; Chanock, Stephen J.; Gong, Jian; Peters, Ulrike; Gruber, Stephen B.; Amos, Christopher I.; Sellers, Thomas A.; Easton, Douglas F.; Hunter, David J.; Haiman, Christopher A.; Henderson, Brian E.; Hung, Rayjean J.

    2016-01-01

    Identifying genetic variants with pleiotropic associations can uncover common pathways influencing multiple cancers. We took a two-staged approach to conduct genome-wide association studies for lung, ovary, breast, prostate and colorectal cancer from the GAME-ON/GECCO Network (61,851 cases, 61,820 controls) to identify pleiotropic loci. Findings were replicated in independent association studies (55,789 cases, 330,490 controls). We identified a novel pleiotropic association at 1q22 involving breast and lung squamous cell carcinoma, with eQTL analysis showing an association with ADAM15/THBS3 gene expression in lung. We also identified a known breast cancer locus CASP8/ALS2CR12 associated with prostate cancer, a known cancer locus at CDKN2B-AS1 with different variants associated with lung adenocarcinoma and prostate cancer and confirmed the associations of a breast BRCA2 locus with lung and serous ovarian cancer. This is the largest study to date examining pleiotropy across multiple cancer-associated loci, identifying common mechanisms of cancer development and progression. PMID:27197191

  2. Genome-wide association study identifies a common variant in RAD51B associated with male breast cancer risk

    DEFF Research Database (Denmark)

    Orr, Nick; Lemnrau, Alina; Cooke, Rosie

    2012-01-01

    We conducted a genome-wide association study of male breast cancer comprising 823 cases and 2,795 controls of European ancestry, with validation in independent sample sets totaling 438 cases and 474 controls. A SNP in RAD51B at 14q24.1 was significantly associated with male breast cancer risk (P...... = 3.02 × 10(-13); odds ratio (OR) = 1.57). We also refine association at 16q12.1 to a SNP within TOX3 (P = 3.87 × 10(-15); OR = 1.50)....

  3. Comparison of 6q25 Breast Cancer Hits from Asian and European Genome Wide Association Studies in the Breast Cancer Association Consortium (BCAC)

    NARCIS (Netherlands)

    Hein, Rebecca; Maranian, Melanie; Hopper, John L.; Kapuscinski, Miroslaw K.; Southey, Melissa C.; Park, Daniel J.; Schmidt, Marjanka K.; Broeks, Annegien; Hogervorst, Frans B. L.; Bueno-de-Mesquit, H. Bas; Muir, Kenneth R.; Lophatananon, Artitaya; Rattanamongkongul, Suthee; Puttawibul, Puttisak; Fasching, Peter A.; Hein, Alexander; Ekici, Arif B.; Beckmann, Matthias W.; Fletcher, Olivia; Johnson, Nichola; Silva, Isabel dos Santos; Peto, Julian; Sawyer, Elinor; Tomlinson, Ian; Kerin, Michael; Miller, Nicola; Marmee, Frederick; Schneeweiss, Andreas; Sohn, Christof; Burwinkel, Barbara; Guenel, Pascal; Cordina-Duverger, Emilie; Menegaux, Florence; Truong, Therese; Bojesen, Stig E.; Nordestgaard, Borge G.; Flyger, Henrik; Milne, Roger L.; Arias Perez, Jose Ignacio; Pilar Zamora, M.; Benitez, Javier; Anton-Culver, Hoda; Ziogas, Argyrios; Bernstein, Leslie; Clarke, Christina A.; Brenner, Hermann; Mueller, Heiko; Arndt, Volker; Stegmaier, Christa; Rahman, Nazneen; Seal, Sheila; Turnbull, Clare; Renwick, Anthony; Meindl, Alfons; Schott, Sarah; Bartram, Claus R.; Schmutzler, Rita K.; Brauch, Hiltrud; Hamann, Ute; Ko, Yon-Dschun; Wang-Gohrke, Shan; Doerk, Thilo; Schuermann, Peter; Karstens, Johann H.; Hillemanns, Peter; Nevanlinna, Heli; Heikkinen, Tuomas; Aittomaki, Kristiina; Blomqvist, Carl; Bogdanova, Natalia V.; Zalutsky, Iosif V.; Antonenkova, Natalia N.; Bermisheva, Marina; Prokovieva, Darya; Farahtdinova, Albina; Khusnutdinova, Elza; Lindblom, Annika; Margolin, Sara; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana; Chen, Xiaoqing; Beesley, Jonathan; Lambrechts, Diether; Zhao, Hui; Neven, Patrick; Wildiers, Hans; Nickels, Stefan; Flesch-Janys, Dieter; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Barile, Monica; Couch, Fergus J.; Olson, Janet E.; Wang, Xianshu; Fredericksen, Zachary; Giles, Graham G.; Baglietto, Laura; McLean, Catriona A.; Severi, Gianluca; Offit, Kenneth; Robson, Mark; Gaudet, Mia M.; Vijai, Joseph; Alnaes, Grethe Grenaker; Kristensen, Vessela; Borresen-Dale, Anne-Lise; John, Esther M.; Miron, Alexander; Winqvist, Robert; Pylkas, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Andrulis, Irene L.; Knight, Julia A.; Glendon, Gord; Mulligan, Anna Marie; Figueroa, Jonine D.; Garcia-Closas, Montserrat; Lissowska, Jolanta; Sherman, Mark E.; Hooning, Maartje; Martens, John W. M.; Seynaeve, Caroline; Collee, Margriet; Hall, Per; Humpreys, Keith; Czene, Kamila; Liu, Jianjun; Cox, Angela; Brock, Ian W.; Cross, Simon S.; Reed, Malcolm W. R.; Ahmed, Shahana; Ghoussaini, Maya; Pharoah, Paul D. P.; Kang, Daehee; Yoo, Keun-Young; Noh, Dong-Young; Jakubowska, Anna; Jaworska, Katarzyna; Durda, Katarzyna; Zlowocka, Elzbieta; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; McKay, James; Shen, Chen-Yang; Yu, Jyh-Cherng; Hsu, Huan-Ming; Hou, Ming-Feng; Orr, Nick; Schoemaker, Minouk; Ashworth, Alan; Swerdlow, Anthony; Trentham-Dietz, Amy; Newcomb, Polly A.; Titus, Linda; Egan, Kathleen M.; Chenevix-Trench, Georgia; Antoniou, Antonis C.; Humphreys, Manjeet K.; Morrison, Jonathan; Chang-Claude, Jenny; Easton, Douglas F.; Dunning, Alison M.

    2012-01-01

    The 6q25.1 locus was first identified via a genome-wide association study (GWAS) in Chinese women and marked by single nucleotide polymorphism (SNP) rs2046210, approximately 180 Kb upstream of ESR1. There have been conflicting reports about the association of this locus with breast cancer in Europea

  4. Genome-wide association study identifies multiple loci associated with both mammographic density and breast cancer risk.

    Science.gov (United States)

    Lindström, Sara; Thompson, Deborah J; Paterson, Andrew D; Li, Jingmei; Gierach, Gretchen L; Scott, Christopher; Stone, Jennifer; Douglas, Julie A; dos-Santos-Silva, Isabel; Fernandez-Navarro, Pablo; Verghase, Jajini; Smith, Paula; Brown, Judith; Luben, Robert; Wareham, Nicholas J; Loos, Ruth J F; Heit, John A; Pankratz, V Shane; Norman, Aaron; Goode, Ellen L; Cunningham, Julie M; deAndrade, Mariza; Vierkant, Robert A; Czene, Kamila; Fasching, Peter A; Baglietto, Laura; Southey, Melissa C; Giles, Graham G; Shah, Kaanan P; Chan, Heang-Ping; Helvie, Mark A; Beck, Andrew H; Knoblauch, Nicholas W; Hazra, Aditi; Hunter, David J; Kraft, Peter; Pollan, Marina; Figueroa, Jonine D; Couch, Fergus J; Hopper, John L; Hall, Per; Easton, Douglas F; Boyd, Norman F; Vachon, Celine M; Tamimi, Rulla M

    2014-10-24

    Mammographic density reflects the amount of stromal and epithelial tissues in relation to adipose tissue in the breast and is a strong risk factor for breast cancer. Here we report the results from meta-analysis of genome-wide association studies (GWAS) of three mammographic density phenotypes: dense area, non-dense area and percent density in up to 7,916 women in stage 1 and an additional 10,379 women in stage 2. We identify genome-wide significant (P<5 × 10(-8)) loci for dense area (AREG, ESR1, ZNF365, LSP1/TNNT3, IGF1, TMEM184B and SGSM3/MKL1), non-dense area (8p11.23) and percent density (PRDM6, 8p11.23 and TMEM184B). Four of these regions are known breast cancer susceptibility loci, and four additional regions were found to be associated with breast cancer (P<0.05) in a large meta-analysis. These results provide further evidence of a shared genetic basis between mammographic density and breast cancer and illustrate the power of studying intermediate quantitative phenotypes to identify putative disease-susceptibility loci.

  5. A genome-wide association scan on estrogen receptor-negative breast cancer

    NARCIS (Netherlands)

    J. Li (Jingmei); M.K. Humphreys (Manjeet); H. Darabi (Hatef); G. Rosin (Gustaf); U. Hannelius (Ulf); T. Heikinen (Tuomas); K. Aittomäki (Kristiina); C. Blomqvist (Carl); P.D.P. Pharoah (Paul); A.M. Dunning (Alison); S. Ahmed (Shahana); M.J. Hooning (Maartje); A. Hollestelle (Antoinette); R.A. Oldenburg (Rogier); L. Alfredsson (Lars); A. Palotie (Aarno); L. Peltonen-Palotie (Leena); A. Irwanto (Astrid); H.Q. Low (Hui); G.H.K. Teoh (Garrett); A. Thalamuthu (Anbupalam); J. Kere (Juha); M. D'Amato (Mauro); D.F. Easton (Douglas); H. Nevanlinna (Heli); J. Liu (Jianjun); K. Czene (Kamila); A.S. Hall (Alistair)

    2010-01-01

    textabstractIntroduction: Breast cancer is a heterogeneous disease and may be characterized on the basis of whether estrogen receptors (ER) are expressed in the tumour cells. ER status of breast cancer is important clinically, and is used both as a prognostic indicator and treatment predictor. In th

  6. Blood Genome-Wide Transcriptional Profiles of HER2 Negative Breast Cancers Patients

    Directory of Open Access Journals (Sweden)

    Ovidiu Balacescu

    2016-01-01

    Full Text Available Tumors act systemically to sustain cancer progression, affecting the physiological processes in the host and triggering responses in the blood circulating cells. In this study, we explored blood transcriptional patterns of patients with two subtypes of HER2 negative breast cancers, with different prognosis and therapeutic outcome. Peripheral blood samples from seven healthy female donors and 29 women with breast cancer including 14 triple-negative breast cancers and 15 hormone-dependent breast cancers were evaluated by microarray. We also evaluated the stroma in primary tumors. Transcriptional analysis revealed distinct molecular signatures in the blood of HER2− breast cancer patients according to ER/PR status. Our data showed the implication of immune signaling in both breast cancer subtypes with an enrichment of these processes in the blood of TNBC patients. We observed a significant alteration of “chemokine signaling,” “IL-8 signaling,” and “communication between innate and adaptive immune cells” pathways in the blood of TNBC patients correlated with an increased inflammation and necrosis in their primary tumors. Overall, our data indicate that the presence of triple-negative breast cancer is associated with an enrichment of altered systemic immune-related pathways, suggesting that immunotherapy could possibly be synergistic to the chemotherapy, to improve the clinical outcome of these patients.

  7. Genome-Wide Meta-Analyses of Breast, Ovarian, and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by at Least Two Cancer Types

    DEFF Research Database (Denmark)

    Kar, Siddhartha P; Beesley, Jonathan; Amin Al Olama, Ali

    2016-01-01

    UNLABELLED: Breast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis, but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349...

  8. A meta-analysis of genome-wide association studies of breast cancer identifies two novel susceptibility loci at 6q14 and 20q11

    NARCIS (Netherlands)

    Siddiq, Afshan; Couch, Fergus J.; Chen, Gary K.; Lindstrom, Sara; Eccles, Diana; Millikan, Robert C.; Michailidou, Kyriaki; Stram, Daniel O.; Beckmann, Lars; Rhie, Suhn Kyong; Ambrosone, Christine B.; Aittomaki, Kristiina; Amiano, Pilar; Apicella, Carmel; Baglietto, Laura; Bandera, Elisa V.; Beckmann, Matthias W.; Berg, Christine D.; Bernstein, Leslie; Blomqvist, Carl; Brauch, Hiltrud; Brinton, Louise; Bui, Quang M.; Buring, Julie E.; Buys, Saundra S.; Campa, Daniele; Carpenter, Jane E.; Chasman, Daniel I.; Chang-Claude, Jenny; Chen, Constance; Clavel-Chapelon, Francoise; Cox, Angela; Cross, Simon S.; Czene, Kamila; Deming, Sandra L.; Diasio, Robert B.; Diver, W. Ryan; Dunning, Alison M.; Durcan, Lorraine; Ekici, Arif B.; Fasching, Peter A.; Feigelson, Heather Spencer; Fejerman, Laura; Figueroa, Jonine D.; Fletcher, Olivia; Flesch-Janys, Dieter; Gaudet, Mia M.; Gerty, Susan M.; Rodriguez-Gil, Jorge L.; Giles, Graham G.; van Gils, Carla H.; Godwin, Andrew K.; Graham, Nikki; Greco, Dario; Hall, Per; Hankinson, Susan E.; Hartmann, Arndt; Hein, Rebecca; Heinz, Judith; Hoover, Robert N.; Hopper, John L.; Hu, Jennifer J.; Huntsman, Scott; Ingles, Sue A.; Irwanto, Astrid; Isaacs, Claudine; Jacobs, Kevin B.; John, Esther M.; Justenhoven, Christina; Kaaks, Rudolf; Kolonel, Laurence N.; Coetzee, Gerhard A.; Lathrop, Mark; Le Marchand, Loic; Lee, Adam M.; Lee, I-Min; Lesnick, Timothy; Lichtner, Peter; Liu, Jianjun; Lund, Eiliv; Makalic, Enes; Martin, Nicholas G.; McLean, Catriona A.; Meijers-Heijboer, Hanne; Meindl, Alfons; Miron, Penelope; Monroe, Kristine R.; Montgomery, Grant W.; Mueller-Myhsok, Bertram; Nickels, Stefan; Nyante, Sarah J.; Olswold, Curtis; Overvad, Kim; Palli, Domenico; Park, Daniel J.; Palmer, Julie R.; Pathak, Harsh; Peto, Julian; Pharoah, Paul; Rahman, Nazneen; Rivadeneira, Fernando; Schmidt, Daniel F.; Schmutzler, Rita K.; Slager, Susan; Southey, Melissa C.; Stevens, Kristen N.; Sinn, Hans-Peter; Press, Michael F.; Ross, Eric; Riboli, Elio; Ridker, Paul M.; Schumacher, Fredrick R.; Severi, Gianluca; Silva, Isabel dos Santos; Stone, Jennifer; Sund, Malin; Tapper, William J.; Thun, Michael J.; Travis, Ruth C.; Turnbull, Clare; Uitterlinden, Andre G.; Waisfisz, Quinten; Wang, Xianshu; Wang, Zhaoming; Weaver, JoEllen; Schulz-Wendtland, Ruediger; Wilkens, Lynne R.; Van Den Berg, David; Zheng, Wei; Ziegler, Regina G.; Ziv, Elad; Nevanlinna, Heli; Easton, Douglas F.; Hunter, David J.; Henderson, Brian E.; Chanock, Stephen J.; Garcia-Closas, Montserrat; Kraft, Peter; Haiman, Christopher A.; Vachon, Celine M.

    2012-01-01

    Genome-wide association studies (GWAS) of breast cancer defined by hormone receptor status have revealed loci contributing to susceptibility of estrogen receptor (ER)-negative subtypes. To identify additional genetic variants for ER-negative breast cancer, we conducted the largest meta-analysis of E

  9. Genome-wide association studies identify four ER negative-specific breast cancer risk loci

    NARCIS (Netherlands)

    Garcia-Closas, Montserrat; Couch, Fergus J.; Lindstrom, Sara; Michailidouo, Kyriaki; Schmidt, Marjanka K.; Brook, Mark N.; Orr, Nick; Rhie, Suhn Kyong; Riboli, Elio; Feigelson, Heather S.; Le Marchand, Loic; Buring, Julie E.; Eccles, Diana; Miron, Penelope; Fasching, Peter A.; Brauch, Hiltrud; Chang-Claude, Jenny; Carpenter, Jane; Godwin, Andrew K.; Nevanlinna, Heli; Giles, Graham G.; Cox, Angela; Hopper, John L.; Bolla, Manjeet K.; Wang, Qin; Dennis, Joe; Dicks, Ed; Howat, Will J.; Schoof, Nils; Bojesen, Stig E.; Lambrechts, Diether; Broeks, Annegien; Andrulis, Irene L.; Guenel, Pascal; Burwinkel, Barbara; Sawyer, Elinor J.; Hollestelle, Antoinette; Fletcher, Olivia; Winqvist, Robert; Brenner, Hermann; Mannermaa, Arto; Hamann, Ute; Meindl, Alfons; Lindblom, Annika; Zheng, Wei; Devillee, Peter; Goldberg, Mark S.; Lubinski, Jan; Kristensen, Vessela; Swerdlow, Anthony; Anton-Culver, Hoda; Doerk, Thilo; Muir, Kenneth; Matsuo, Keitaro; Wu, Anna H.; Radice, Paolo; Teo, Soo Hwang; Shu, Xiao-Ou; Blot, William; Kang, Daehee; Hartman, Mikael; Sangrajrang, Suleeporn; Shen, Chen-Yang; Southey, Melissa C.; Park, Daniel J.; Hammet, Fleur; Stone, Jennifer; Van't Veer, Laura J.; Rutgers, Emiel J.; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Peto, Julian; Schrauder, Michael G.; Ekici, Arif B.; Beckmann, Matthias W.; Silva, Isabel dos Santos; Johnson, Nichola; Warren, Helen; Tomlins, Ian; Kerin, Michael J.; Miller, Nicola; Marme, Federick; Schneeweiss, Andreas; Sohn, Christof; Truong, Therese; Laurent-Puig, Pierre; Kerbrat, Pierre; Nordestgaard, Borge G.; Nielsen, Sune F.; Flyger, Henrik; Milne, Roger L.; Arias Perez, Jose Ignacio; Menendez, Primitiva; Mueller, Heiko; Arndt, Volker; Stegmaier, Christa; Lichtner, Peter; Lochmann, Magdalena; Justenhoven, Christina; Ko, Yon-Dschun; Muranen, Taru A.; Aittomaki, Kristiina; Blomqvist, Carl; Greco, Dario; Heikkinen, Tuomas; Ito, Hidemi; Iwata, Hiroji; Yatabe, Yasushi; Antonenkova, Natalia N.; Margolin, Sara; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M.; Balleine, Rosemary; Tseng, Chiu-Chen; Van den Berg, David; Stram, Daniel O.; Neven, Patrick; Dieudonne, Anne-Sophie; Leunen, Karin; Rudolph, Anja; Nickels, Stefan; Flesch-Janys, Dieter; Peterlongo, Paolo; Peissel, Bernard; Bernard, Loris; Olson, Janet E.; Wang, Xianshu; Stevens, Kristen; Severi, Gianluca; Baglietto, Laura; McLean, Catriona; Coetzee, Gerhard A.; Feng, Ye; Henderson, Brian E.; Schumacher, Fredrick; Bogdanova, Natalia V.; Labreche, France; Dumont, Martine; Yip, Cheng Har; Taib, Nur Aishah Mohd; Cheng, Ching-Yu; Shrubsole, Martha; Long, Jirong; Pylkas, Katri; Jukkola-Vuorinen, Arja; Kauppila, Saila; Knight, Julia A.; Glendon, Gord; Mulligan, Anna Marie; Tollenaar, Robertus A. E. M.; Seynaeve, Caroline M.; Kriege, Mieke; Hooning, Maartje J.; van den Ouweland, Ans M. W.; van Deurzen, Carolien H. M.; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Balasubramanian, Sabapathy P.; Cross, Simon S.; Reed, Malcolm W. R.; Signorello, Lisa; Cai, Qiuyin; Shah, Mitul; Miao, Hui; Chan, Ching Wan; Chia, Kee Seng; Jakubowska, Anna; Jaworska, Katarzyna; Durda, Katarzyna; Hsiung, Chia-Ni; Wu, Peiei; Yu, Jyh-Cherng; Ashworth, Alan; Jones, Michael; Tessier, Daniel C.; Gonzalez-Neira, Anna; Pita, Guillermo; Alonso, M. Rosario; Vincent, Daniel; Bacot, Francois; Ambrosone, Christine B.; Bandera, Elisa V.; John, Esther M.; Chen, Gary K.; Hu, Jennifer J.; Rodriguez-Gil, Jorge L.; Bernstein, Leslie; Press, Michael F.; Ziegler, Regina G.; Millikan, Robert M.; Deming-Halverson, Sandra L.; Nyante, Sarah; Ingles, Sue A.; Waisfisz, Quinten; Tsimiklis, Helen; Makalic, Enes; Schmidt, Daniel; Bui, Minh; Gibson, Lorna; Mueller-Myhsok, Bertram; Schmutzler, Rita K.; Hein, Rebecca; Dahmen, Norbert; Beckmann, Lars; Aaltonen, Kirsimari; Czene, Kamila; Irwanto, Astrid; Liu, Jianjun; Turnbull, Clare; Rahman, Nazneen; Meijers-Heijboer, Hanne; Uitterlinden, Andre G.; Rivadeneira, Fernando; Olswold, Curtis; Slager, Susan; Pilarski, Robert; Ademuyiwa, Foluso; Konstantopoulou, Irene; Martin, Nicholas G.; Montgomery, Grant W.; Slamon, Dennis J.; Rauh, Claudia; Lux, Michael P.; Jud, Sebastian M.; Bruning, Thomas; Weaver, JoEllen; Harma, Priyanka; Pathak, Harsh; Tapper, Will; Gerty, Sue; Durcan, Lorraine; Trichopoulos, Dimitrios; Tumino, Rosario; Peeters, Petra H.; Kaaks, Rudolf; Campa, Daniele; Canzian, Federico; Weiderpass, Elisabete; Johansson, Mattias; Khaw, Kay-Tee; Travis, Ruth; Clavel-Chapelon, Francoise; Kolonel, Laurence N.; Chen, Constance; Beck, Andy; Hankinson, Susan E.; Berg, Christine D.; Hoover, Robert N.; Lissowska, Jolanta; Figueroa, Jonine D.; Chasman, Daniel I.; Gaudet, Mia M.; Diver, W. Ryan; Willett, Walter C.; Hunter, David J.; Simard, Jacques; Benitez, Javier; Dunning, Alison M.; Sherman, Mark E.; Chenevix-Trench, Georgia; Chanock, Stephen J.; Hall, Per; Pharoah, Paul D. P.; Vachon, Celine; Easton, Douglas F.; Haiman, Christopher A.; Kraft, Peter

    2013-01-01

    Estrogen receptor (ER)-negative tumors represent 20-30% of all breast cancers, with a higher proportion occurring in younger women and women of African ancestry. The etiology and clinical behavior of ER-negative tumors are different from those of tumors expressing ER (ER positive), including differe

  10. Genome-wide association studies identify four ER negative-specific breast cancer risk loci

    DEFF Research Database (Denmark)

    Garcia-Closas, Montserrat; Couch, Fergus J; Lindstrom, Sara

    2013-01-01

    Estrogen receptor (ER)-negative tumors represent 20-30% of all breast cancers, with a higher proportion occurring in younger women and women of African ancestry. The etiology and clinical behavior of ER-negative tumors are different from those of tumors expressing ER (ER positive), including diff...

  11. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer.

    Science.gov (United States)

    Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Sara; Canisius, Sander; Dennis, Joe; Lush, Michael J; Maranian, Mel J; Bolla, Manjeet K; Wang, Qin; Shah, Mitul; Perkins, Barbara J; Czene, Kamila; Eriksson, Mikael; Darabi, Hatef; Brand, Judith S; Bojesen, Stig E; Nordestgaard, Børge G; Flyger, Henrik; Nielsen, Sune F; Rahman, Nazneen; Turnbull, Clare; Fletcher, Olivia; Peto, Julian; Gibson, Lorna; dos-Santos-Silva, Isabel; Chang-Claude, Jenny; Flesch-Janys, Dieter; Rudolph, Anja; Eilber, Ursula; Behrens, Sabine; Nevanlinna, Heli; Muranen, Taru A; Aittomäki, Kristiina; Blomqvist, Carl; Khan, Sofia; Aaltonen, Kirsimari; Ahsan, Habibul; Kibriya, Muhammad G; Whittemore, Alice S; John, Esther M; Malone, Kathleen E; Gammon, Marilie D; Santella, Regina M; Ursin, Giske; Makalic, Enes; Schmidt, Daniel F; Casey, Graham; Hunter, David J; Gapstur, Susan M; Gaudet, Mia M; Diver, W Ryan; Haiman, Christopher A; Schumacher, Fredrick; Henderson, Brian E; Le Marchand, Loic; Berg, Christine D; Chanock, Stephen J; Figueroa, Jonine; Hoover, Robert N; Lambrechts, Diether; Neven, Patrick; Wildiers, Hans; van Limbergen, Erik; Schmidt, Marjanka K; Broeks, Annegien; Verhoef, Senno; Cornelissen, Sten; Couch, Fergus J; Olson, Janet E; Hallberg, Emily; Vachon, Celine; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel A; van der Luijt, Rob B; Li, Jingmei; Liu, Jianjun; Humphreys, Keith; Kang, Daehee; Choi, Ji-Yeob; Park, Sue K; Yoo, Keun-Young; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Tajima, Kazuo; Guénel, Pascal; Truong, Thérèse; Mulot, Claire; Sanchez, Marie; Burwinkel, Barbara; Marme, Frederik; Surowy, Harald; Sohn, Christof; Wu, Anna H; Tseng, Chiu-chen; Van Den Berg, David; Stram, Daniel O; González-Neira, Anna; Benitez, Javier; Zamora, M Pilar; Perez, Jose Ignacio Arias; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Cox, Angela; Cross, Simon S; Reed, Malcolm W R; Andrulis, Irene L; Knight, Julia A; Glendon, Gord; Mulligan, Anna Marie; Sawyer, Elinor J; Tomlinson, Ian; Kerin, Michael J; Miller, Nicola; Lindblom, Annika; Margolin, Sara; Teo, Soo Hwang; Yip, Cheng Har; Taib, Nur Aishah Mohd; Tan, Gie-Hooi; Hooning, Maartje J; Hollestelle, Antoinette; Martens, John W M; Collée, J Margriet; Blot, William; Signorello, Lisa B; Cai, Qiuyin; Hopper, John L; Southey, Melissa C; Tsimiklis, Helen; Apicella, Carmel; Shen, Chen-Yang; Hsiung, Chia-Ni; Wu, Pei-Ei; Hou, Ming-Feng; Kristensen, Vessela N; Nord, Silje; Alnaes, Grethe I Grenaker; Giles, Graham G; Milne, Roger L; McLean, Catriona; Canzian, Federico; Trichopoulos, Dimitrios; Peeters, Petra; Lund, Eiliv; Sund, Malin; Khaw, Kay-Tee; Gunter, Marc J; Palli, Domenico; Mortensen, Lotte Maxild; Dossus, Laure; Huerta, Jose-Maria; Meindl, Alfons; Schmutzler, Rita K; Sutter, Christian; Yang, Rongxi; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Hartman, Mikael; Miao, Hui; Chia, Kee Seng; Chan, Ching Wan; Fasching, Peter A; Hein, Alexander; Beckmann, Matthias W; Haeberle, Lothar; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Ashworth, Alan; Orr, Nick; Schoemaker, Minouk J; Swerdlow, Anthony J; Brinton, Louise; Garcia-Closas, Montserrat; Zheng, Wei; Halverson, Sandra L; Shrubsole, Martha; Long, Jirong; Goldberg, Mark S; Labrèche, France; Dumont, Martine; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Brauch, Hiltrud; Hamann, Ute; Brüning, Thomas; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Bernard, Loris; Bogdanova, Natalia V; Dörk, Thilo; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Devilee, Peter; Tollenaar, Robert A E M; Seynaeve, Caroline; Van Asperen, Christi J; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Huzarski, Tomasz; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; McKay, James; Slager, Susan; Toland, Amanda E; Ambrosone, Christine B; Yannoukakos, Drakoulis; Kabisch, Maria; Torres, Diana; Neuhausen, Susan L; Anton-Culver, Hoda; Luccarini, Craig; Baynes, Caroline; Ahmed, Shahana; Healey, Catherine S; Tessier, Daniel C; Vincent, Daniel; Bacot, Francois; Pita, Guillermo; Alonso, M Rosario; Álvarez, Nuria; Herrero, Daniel; Simard, Jacques; Pharoah, Paul P D P; Kraft, Peter; Dunning, Alison M; Chenevix-Trench, Georgia; Hall, Per; Easton, Douglas F

    2015-04-01

    Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ∼14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising 15,748 breast cancer cases and 18,084 controls together with 46,785 cases and 42,892 controls from 41 studies genotyped on a 211,155-marker custom array (iCOGS). Analyses were restricted to women of European ancestry. We generated genotypes for more than 11 million SNPs by imputation using the 1000 Genomes Project reference panel, and we identified 15 new loci associated with breast cancer at P < 5 × 10(-8). Combining association analysis with ChIP-seq chromatin binding data in mammary cell lines and ChIA-PET chromatin interaction data from ENCODE, we identified likely target genes in two regions: SETBP1 at 18q12.3 and RNF115 and PDZK1 at 1q21.1. One association appears to be driven by an amino acid substitution encoded in EXO1.

  12. Genome-wide association analysis of more than 120,000 individuals identifies 15 new susceptibility loci for breast cancer

    Science.gov (United States)

    Michailidou, Kyriaki; Beesley, Jonathan; Lindstrom, Sara; Canisius, Sander; Dennis, Joe; Lush, Michael; Maranian, Mel J; Bolla, Manjeet K; Wang, Qin; Shah, Mitul; Perkins, Barbara J; Czene, Kamila; Eriksson, Mikael; Darabi, Hatef; Brand, Judith S; Bojesen, Stig E; Nordestgaard, Børge G; Flyger, Henrik; Nielsen, Sune F; Rahman, Nazneen; Turnbull, Clare; Fletcher, Olivia; Peto, Julian; Gibson, Lorna; dos-Santos-Silva, Isabel; Chang-Claude, Jenny; Flesch-Janys, Dieter; Rudolph, Anja; Eilber, Ursula; Behrens, Sabine; Nevanlinna, Heli; Muranen, Taru A; Aittomäki, Kristiina; Blomqvist, Carl; Khan, Sofia; Aaltonen, Kirsimari; Ahsan, Habibul; Kibriya, Muhammad G; Whittemore, Alice S; John, Esther M; Malone, Kathleen E; Gammon, Marilie D; Santella, Regina M; Ursin, Giske; Makalic, Enes; Schmidt, Daniel F; Casey, Graham; Hunter, David J; Gapstur, Susan M; Gaudet, Mia M; Diver, W Ryan; Haiman, Christopher A; Schumacher, Fredrick; Henderson, Brian E; Le Marchand, Loic; Berg, Christine D; Chanock, Stephen; Figueroa, Jonine; Hoover, Robert N; Lambrechts, Diether; Neven, Patrick; Wildiers, Hans; van Limbergen, Erik; Schmidt, Marjanka K; Broeks, Annegien; Verhoef, Senno; Cornelissen, Sten; Couch, Fergus J; Olson, Janet E; Hallberg, Emily; Vachon, Celine; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel A; van der Luijt, Rob B; Li, Jingmei; Liu, Jianjun; Humphreys, Keith; Kang, Daehee; Choi, Ji-Yeob; Park, Sue K; Yoo, Keun-Young; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Tajima, Kazuo; Guénel, Pascal; Truong, Thérèse; Mulot, Claire; Sanchez, Marie; Burwinkel, Barbara; Marme, Frederik; Surowy, Harald; Sohn, Christof; Wu, Anna H; Tseng, Chiu-chen; Van Den Berg, David; Stram, Daniel O; González-Neira, Anna; Benitez, Javier; Zamora, M Pilar; Perez, Jose Ignacio Arias; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Cox, Angela; Cross, Simon S; Reed, Malcolm WR; Andrulis, Irene L; Knight, Julia A; Glendon, Gord; Mulligan, Anna Marie; Sawyer, Elinor J; Tomlinson, Ian; Kerin, Michael J; Miller, Nicola; Lindblom, Annika; Margolin, Sara; Teo, Soo Hwang; Yip, Cheng Har; Taib, Nur Aishah Mohd; TAN, Gie-Hooi; Hooning, Maartje J; Hollestelle, Antoinette; Martens, John WM; Collée, J Margriet; Blot, William; Signorello, Lisa B; Cai, Qiuyin; Hopper, John L; Southey, Melissa C; Tsimiklis, Helen; Apicella, Carmel; Shen, Chen-Yang; Hsiung, Chia-Ni; Wu, Pei-Ei; Hou, Ming-Feng; Kristensen, Vessela N; Nord, Silje; Alnaes, Grethe I Grenaker; Giles, Graham G; Milne, Roger L; McLean, Catriona; Canzian, Federico; Trichopoulos, Dmitrios; Peeters, Petra; Lund, Eiliv; Sund, Malin; Khaw, Kay-Tee; Gunter, Marc J; Palli, Domenico; Mortensen, Lotte Maxild; Dossus, Laure; Huerta, Jose-Maria; Meindl, Alfons; Schmutzler, Rita K; Sutter, Christian; Yang, Rongxi; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Hartman, Mikael; Miao, Hui; Chia, Kee Seng; Chan, Ching Wan; Fasching, Peter A; Hein, Alexander; Beckmann, Matthias W; Haeberle, Lothar; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Ashworth, Alan; Orr, Nick; Schoemaker, Minouk J; Swerdlow, Anthony J; Brinton, Louise; Garcia-Closas, Montserrat; Zheng, Wei; Halverson, Sandra L; Shrubsole, Martha; Long, Jirong; Goldberg, Mark S; Labrèche, France; Dumont, Martine; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Brauch, Hiltrud; Hamann, Ute; Brüning, Thomas; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Bernard, Loris; Bogdanova, Natalia V; Dörk, Thilo; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Devilee, Peter; Tollenaar, Robert AEM; Seynaeve, Caroline; Van Asperen, Christi J; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Huzarski, Tomasz; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; McKay, James; Slager, Susan; Toland, Amanda E; Ambrosone, Christine B; Yannoukakos, Drakoulis; Kabisch, Maria; Torres, Diana; Neuhausen, Susan L; Anton-Culver, Hoda; Luccarini, Craig; Baynes, Caroline; Ahmed, Shahana; Healey, Catherine S; Tessier, Daniel C; Vincent, Daniel; Bacot, Francois; Pita, Guillermo; Alonso, M Rosario; Álvarez, Nuria; Herrero, Daniel; Simard, Jacques; Pharoah, Paul PDP; Kraft, Peter; Dunning, Alison M; Chenevix-Trench, Georgia; Hall, Per; Easton, Douglas F

    2015-01-01

    Genome wide association studies (GWAS) and large scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining ~14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS comprising of 15,748 breast cancer cases and 18,084 controls, and 46,785 cases and 42,892 controls from 41 studies genotyped on a 200K custom array (iCOGS). Analyses were restricted to women of European ancestry. Genotypes for more than 11M SNPs were generated by imputation using the 1000 Genomes Project reference panel. We identified 15 novel loci associated with breast cancer at P<5×10−8. Combining association analysis with ChIP-Seq data in mammary cell lines and ChIA-PET chromatin interaction data in ENCODE, we identified likely target genes in two regions: SETBP1 on 18q12.3 and RNF115 and PDZK1 on 1q21.1. One association appears to be driven by an amino-acid substitution in EXO1. PMID:25751625

  13. Genome Wide Examination of Allelic Loss in Lobular and Ductal Breast Cancer

    Science.gov (United States)

    2004-07-01

    assay with data from array comparative genomic hybridization (CGH) on the same tumors. We find almost complete concordance with LOH as defined by the...Facility for assis- HuSNP assay on PEP material may be an acceptable tance in the hybridization and analysis of the HuSNP arrays, approach to genome-wide...Levine D, it is still a low-density map, with an average of one SNP Rabinovitch P, Reid B: 17p (p53) allelic losses, 4N (G2/ tetraploid ) site per 8.5 Mb in

  14. Common variants associated with breast cancer in genome-wide association studies are modifiers of breast cancer risk in BRCA1 and BRCA2 mutation carriers.

    Science.gov (United States)

    Wang, Xianshu; Pankratz, V Shane; Fredericksen, Zachary; Tarrell, Robert; Karaus, Mary; McGuffog, Lesley; Pharaoh, Paul D P; Ponder, Bruce A J; Dunning, Alison M; Peock, Susan; Cook, Margaret; Oliver, Clare; Frost, Debra; Sinilnikova, Olga M; Stoppa-Lyonnet, Dominique; Mazoyer, Sylvie; Houdayer, Claude; Hogervorst, Frans B L; Hooning, Maartje J; Ligtenberg, Marjolijn J; Spurdle, Amanda; Chenevix-Trench, Georgia; Schmutzler, Rita K; Wappenschmidt, Barbara; Engel, Christoph; Meindl, Alfons; Domchek, Susan M; Nathanson, Katherine L; Rebbeck, Timothy R; Singer, Christian F; Gschwantler-Kaulich, Daphne; Dressler, Catherina; Fink, Anneliese; Szabo, Csilla I; Zikan, Michal; Foretova, Lenka; Claes, Kathleen; Thomas, Gilles; Hoover, Robert N; Hunter, David J; Chanock, Stephen J; Easton, Douglas F; Antoniou, Antonis C; Couch, Fergus J

    2010-07-15

    Recent studies have identified single nucleotide polymorphisms (SNPs) that significantly modify breast cancer risk in BRCA1 and BRCA2 mutation carriers. Since these risk modifiers were originally identified as genetic risk factors for breast cancer in genome-wide association studies (GWASs), additional risk modifiers for BRCA1 and BRCA2 may be identified from promising signals discovered in breast cancer GWAS. A total of 350 SNPs identified as candidate breast cancer risk factors (P CAMK1D displayed the strongest associations in BRCA1 carriers (HR = 0.78, 95% CI: 0.69-0.90, P(trend) = 3.6 x 10(-4) and HR = 1.25, 95% CI: 1.10-1.41, P(trend) = 4.2 x 10(-4)), whereas rs9393597 in LOC134997 and rs12652447 in FBXL7 showed the strongest associations in BRCA2 carriers (HR = 1.55, 95% CI: 1.25-1.92, P(trend) = 6 x 10(-5) and HR = 1.37, 95% CI: 1.16-1.62, P(trend) = 1.7 x 10(-4)). The magnitude and direction of the associations were consistent with the original GWAS. In subsequent risk assessment studies, the loci appeared to interact multiplicatively for breast cancer risk in BRCA1 and BRCA2 carriers. Promising candidate SNPs from GWAS were identified as modifiers of breast cancer risk in BRCA1 and BRCA2 carriers. Upon further validation, these SNPs together with other genetic and environmental factors may improve breast cancer risk assessment in these populations.

  15. Genome-wide changes accompanying knockdown of fatty acid synthase in breast cancer

    Directory of Open Access Journals (Sweden)

    Smith Jeffrey W

    2007-06-01

    Full Text Available Abstract Background The lipogenic enzyme fatty acid synthase (FAS is up-regulated in a wide variety of cancers, and is considered a potential metabolic oncogene by virtue of its ability to enhance tumor cell survival. Inhibition of tumor FAS causes both cell cycle arrest and apoptosis, indicating FAS is a promising target for cancer treatment. Results Here, we used gene expression profiling to conduct a global study of the cellular processes affected by siRNA mediated knockdown of FAS in MDA-MB-435 mammary carcinoma cells. The study identified 169 up-regulated genes (≥ 1.5 fold and 110 down-regulated genes (≤ 0.67 fold in response to knockdown of FAS. These genes regulate several aspects of tumor function, including metabolism, cell survival/proliferation, DNA replication/transcription, and protein degradation. Quantitative pathway analysis using Gene Set Enrichment Analysis software further revealed that the most pronounced effect of FAS knockdown was down-regulation in pathways that regulate lipid metabolism, glycolysis, the TCA cycle and oxidative phosphorylation. These changes were coupled with up-regulation in genes involved in cell cycle arrest and death receptor mediated apoptotic pathways. Conclusion Together these findings reveal a wide network of pathways that are influenced in response to FAS knockdown and provide new insight into the role of this enzyme in tumor cell survival and proliferation.

  16. Genome-wide Meta-analyses of Breast, Ovarian and Prostate Cancer Association Studies Identify Multiple New Susceptibility Loci Shared by At Least Two Cancer Types

    Science.gov (United States)

    Kar, Siddhartha P.; Beesley, Jonathan; Al Olama, Ali Amin; Michailidou, Kyriaki; Tyrer, Jonathan; Kote-Jarai, ZSofia; Lawrenson, Kate; Lindstrom, Sara; Ramus, Susan J.; Thompson, Deborah J.; Kibel, Adam S.; Dansonka-Mieszkowska, Agnieszka; Michael, Agnieszka; Dieffenbach, Aida K.; Gentry-Maharaj, Aleksandra; Whittemore, Alice S.; Wolk, Alicja; Monteiro, Alvaro; Peixoto, Ana; Kierzek, Andrzej; Cox, Angela; Rudolph, Anja; Gonzalez-Neira, Anna; Wu, Anna H.; Lindblom, Annika; Swerdlow, Anthony; Ziogas, Argyrios; Ekici, Arif B.; Burwinkel, Barbara; Karlan, Beth Y.; Nordestgaard, Børge G.; Blomqvist, Carl; Phelan, Catherine; McLean, Catriona; Pearce, Celeste Leigh; Vachon, Celine; Cybulski, Cezary; Slavov, Chavdar; Stegmaier, Christa; Maier, Christiane; Ambrosone, Christine B.; Høgdall, Claus K.; Teerlink, Craig C.; Kang, Daehee; Tessier, Daniel C.; Schaid, Daniel J.; Stram, Daniel O.; Cramer, Daniel W.; Neal, David E.; Eccles, Diana; Flesch-Janys, Dieter; Velez Edwards, Digna R.; Wokozorczyk, Dominika; Levine, Douglas A.; Yannoukakos, Drakoulis; Sawyer, Elinor J.; Bandera, Elisa V.; Poole, Elizabeth M.; Goode, Ellen L.; Khusnutdinova, Elza; Høgdall, Estrid; Song, Fengju; Bruinsma, Fiona; Heitz, Florian; Modugno, Francesmary; Hamdy, Freddie C.; Wiklund, Fredrik; Giles, Graham G.; Olsson, Håkan; Wildiers, Hans; Ulmer, Hans-Ulrich; Pandha, Hardev; Risch, Harvey A.; Darabi, Hatef; Salvesen, Helga B.; Nevanlinna, Heli; Gronberg, Henrik; Brenner, Hermann; Brauch, Hiltrud; Anton-Culver, Hoda; Song, Honglin; Lim, Hui-Yi; McNeish, Iain; Campbell, Ian; Vergote, Ignace; Gronwald, Jacek; Lubiński, Jan; Stanford, Janet L.; Benítez, Javier; Doherty, Jennifer A.; Permuth, Jennifer B.; Chang-Claude, Jenny; Donovan, Jenny L.; Dennis, Joe; Schildkraut, Joellen M.; Schleutker, Johanna; Hopper, John L.; Kupryjanczyk, Jolanta; Park, Jong Y.; Figueroa, Jonine; Clements, Judith A.; Knight, Julia A.; Peto, Julian; Cunningham, Julie M.; Pow-Sang, Julio; Batra, Jyotsna; Czene, Kamila; Lu, Karen H.; Herkommer, Kathleen; Khaw, Kay-Tee; Matsuo, Keitaro; Muir, Kenneth; Offitt, Kenneth; Chen, Kexin; Moysich, Kirsten B.; Aittomäki, Kristiina; Odunsi, Kunle; Kiemeney, Lambertus A.; Massuger, Leon F.A.G.; Fitzgerald, Liesel M.; Cook, Linda S.; Cannon-Albright, Lisa; Hooning, Maartje J.; Pike, Malcolm C.; Bolla, Manjeet K.; Luedeke, Manuel; Teixeira, Manuel R.; Goodman, Marc T.; Schmidt, Marjanka K.; Riggan, Marjorie; Aly, Markus; Rossing, Mary Anne; Beckmann, Matthias W.; Moisse, Matthieu; Sanderson, Maureen; Southey, Melissa C.; Jones, Michael; Lush, Michael; Hildebrandt, Michelle A. T.; Hou, Ming-Feng; Schoemaker, Minouk J.; Garcia-Closas, Montserrat; Bogdanova, Natalia; Rahman, Nazneen; Le, Nhu D.; Orr, Nick; Wentzensen, Nicolas; Pashayan, Nora; Peterlongo, Paolo; Guénel, Pascal; Brennan, Paul; Paulo, Paula; Webb, Penelope M.; Broberg, Per; Fasching, Peter A.; Devilee, Peter; Wang, Qin; Cai, Qiuyin; Li, Qiyuan; Kaneva, Radka; Butzow, Ralf; Kopperud, Reidun Kristin; Schmutzler, Rita K.; Stephenson, Robert A.; MacInnis, Robert J.; Hoover, Robert N.; Winqvist, Robert; Ness, Roberta; Milne, Roger L.; Travis, Ruth C.; Benlloch, Sara; Olson, Sara H.; McDonnell, Shannon K.; Tworoger, Shelley S.; Maia, Sofia; Berndt, Sonja; Lee, Soo Chin; Teo, Soo-Hwang; Thibodeau, Stephen N.; Bojesen, Stig E.; Gapstur, Susan M.; Kjær, Susanne Krüger; Pejovic, Tanja; Tammela, Teuvo L.J.; Dörk, Thilo; Brüning, Thomas; Wahlfors, Tiina; Key, Tim J.; Edwards, Todd L.; Menon, Usha; Hamann, Ute; Mitev, Vanio; Kosma, Veli-Matti; Setiawan, Veronica Wendy; Kristensen, Vessela; Arndt, Volker; Vogel, Walther; Zheng, Wei; Sieh, Weiva; Blot, William J.; Kluzniak, Wojciech; Shu, Xiao-Ou; Gao, Yu-Tang; Schumacher, Fredrick; Freedman, Matthew L.; Berchuck, Andrew; Dunning, Alison M.; Simard, Jacques; Haiman, Christopher A.; Spurdle, Amanda; Sellers, Thomas A.; Hunter, David J.; Henderson, Brian E.; Kraft, Peter; Chanock, Stephen J.; Couch, Fergus J.; Hall, Per; Gayther, Simon A.; Easton, Douglas F.; Chenevix-Trench, Georgia; Eeles, Rosalind; Pharoah, Paul D.P.; Lambrechts, Diether

    2016-01-01

    Breast, ovarian, and prostate cancers are hormone-related and may have a shared genetic basis but this has not been investigated systematically by genome-wide association (GWA) studies. Meta-analyses combining the largest GWA meta-analysis data sets for these cancers totaling 112,349 cases and 116,421 controls of European ancestry, all together and in pairs, identified at P < 10−8 seven new cross-cancer loci: three associated with susceptibility to all three cancers (rs17041869/2q13/BCL2L11; rs7937840/11q12/INCENP; rs1469713/19p13/GATAD2A), two breast and ovarian cancer risk loci (rs200182588/9q31/SMC2; rs8037137/15q26/RCCD1), and two breast and prostate cancer risk loci (rs5013329/1p34/NSUN4; rs9375701/6q23/L3MBTL3). Index variants in five additional regions previously associated with only one cancer also showed clear association with a second cancer type. Cell-type specific expression quantitative trait locus and enhancer-gene interaction annotations suggested target genes with potential cross-cancer roles at the new loci. Pathway analysis revealed significant enrichment of death receptor signaling genes near loci with P < 10−5 in the three-cancer meta-analysis. PMID:27432226

  17. Association between invasive ovarian cancer susceptibility and 11 best candidate SNPs from breast cancer genome-wide association study

    DEFF Research Database (Denmark)

    Song, Honglin; Ramus, Susan J; Kjaer, Susanne Krüger;

    2009-01-01

    , three SNPs (rs2107425 in MRPL23, rs7313833 in PTHLH, rs3803662 in TNRC9) were weakly associated with ovarian cancer risk and one SNP (rs4954956 in NXPH2) was associated with serous ovarian cancer in non-Hispanic white subjects (P-trend ....01-1.13, P-trend = 0.02 for all types of ovarian cancer and OR 1.14 95% CI 1.07-1.22, P-trend = 0.00017 for serous ovarian cancer]. In conclusion, we found that rs4954956 was associated with increased ovarian cancer risk, particularly for serous ovarian cancer. However, none of the six confirmed breast...... cancer susceptibility variants we tested was associated with ovarian cancer risk. Further work will be needed to identify the causal variant associated with rs4954956 or elucidate its function....

  18. Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk

    NARCIS (Netherlands)

    F.J. Couch (Fergus); X. Wang (Xing); L. McGuffog (Lesley); A. Lee; C. Olswold (Curtis); K.B. Kuchenbaecker (Karoline); P. Soucy (Penny); Z. Fredericksen (Zachary); D. Barrowdale (Daniel); J. Dennis (Joe); M.M. Gaudet (Mia); E. Dicks (Ed); M. Kosel (Matthew); S. Healey (Sue); O. Sinilnikova (Olga); F. Bacot (Francois); D. Vincent (Daniel); F.B.L. Hogervorst (Frans); S. Peock (Susan); D. Stoppa-Lyonnet (Dominique); A. Jakubowska (Anna); P. Radice (Paolo); R.K. Schmutzler (Rita); S.M. Domchek (Susan); M. Piedmonte (Marion); C.F. Singer (Christian); E. Friedman (Eitan); M. Thomassen (Mads); T.V.O. Hansen (Thomas); S.L. Neuhausen (Susan); C. Szabo (Csilla); I. Blanco (Ignacio); M.H. Greene (Mark); B. Karlan; J. Garber; C. Phelan (Catherine); J.N. Weitzel (Jeffrey); M. Montagna (Marco); E. Olah; I.L. Andrulis (Irene); A.K. Godwin (Andrew); D. Yannoukakos (Drakoulis); D. Goldgar (David); T. Caldes (Trinidad); H. Nevanlinna (Heli); A. Osorio (Ana); M.-B. Terry (Mary-Beth); M.B. Daly (Mary); E.J. van Rensburg (Elizabeth); U. Hamann (Ute); S.J. Ramus (Susan); A. Ewart-Toland (Amanda); M.A. Caligo (Maria); O.I. Olopade (Olofunmilayo); N. Tung (Nadine); K. Claes (Kathleen); M.S. Beattie (Mary); M.C. Southey (Melissa); E.N. Imyanitov (Evgeny); M. Tischkowitz (Marc); R. Janavicius (Ramunas); E.M. John (Esther); A. Kwong (Ava); O. Diez (Orland); J. Balmana (Judith); R.B. Barkardottir (Rosa); B.K. Arun (Banu); G. Rennert (Gad); S.-H. Teo; P.A. Ganz (Patricia); I. Campbell (Ian); A.H. van der Hout (Annemarie); C.H.M. van Deurzen (Carolien); C.M. Seynaeve (Caroline); E.B. Gómez García (Encarna); F.E. van Leeuwen (F.); H. Meijers-Heijboer (Hanne); J.J. Gille (Johan); M.G.E.M. Ausems (Margreet); M.J. Blok (Marinus); M.J. Ligtenberg (Marjolijn); M.A. Rookus (Matti); P. Devilee (Peter); S. Verhoef; T.A.M. van Os (Theo); J.T. Wijnen (Juul); D. Frost (Debra); S. Ellis (Steve); E. Fineberg (Elena); R. Platte (Radka); D.G. Evans (Gareth); L. Izatt (Louise); R. Eeles (Rosalind); J.W. Adlard (Julian); D. Eccles (Diana); J. Cook (Jackie); C. Brewer (C.); F. Douglas (Fiona); S.V. Hodgson (Shirley); P.J. Morrison (Patrick); L. Side (Lucy); A. Donaldson (Alan); C. Houghton (Catherine); M.T. Rogers (Mark); H. Dorkins (Huw); J. Eason (Jacqueline); H. Gregory (Helen); E. McCann (Emma); A. Murray (Alexandra); A. Calender (Alain); A. Hardouin (Agnès); P. Berthet (Pascaline); C.D. Delnatte (Capucine); C. Nogues (Catherine); C. Lasset (Christine); C. Houdayer (Claude); D. Leroux (Dominique); E. Rouleau (Etienne); F. Prieur (Fabienne); F. Damiola (Francesca); H. Sobol (Hagay); I. Coupier (Isabelle); L. Vénat-Bouvet (Laurence); L. Castera (Laurent); M. Gauthier-Villars (Marion); M. Léone (Mélanie); P. Pujol (Pascal); S. Mazoyer (Sylvie); Y.-J. Bignon (Yves-Jean); E. Złowocka-Perłowska (Elzbieta); J. Gronwald (Jacek); J. Lubinski (Jan); K. Durda (Katarzyna); K. Jaworska (Katarzyna); T. Huzarski (Tomasz); A.B. Spurdle (Amanda); A. Viel (Alessandra); B. Peissel (Bernard); B. Bonnani (Bernardo); G. Melloni (Giulia); L. Ottini (Laura); L. Papi (Laura); L. Varesco (Liliana); M.G. Tibiletti (Maria Grazia); P. Peterlongo (Paolo); S. Volorio (Sara); S. Manoukian (Siranoush); V. Pensotti (Valeria); N. Arnold (Norbert); C. Engel (Christoph); H. Deissler (Helmut); D. Gadzicki (Dorothea); P.A. Gehrig (Paola A.); K. Kast (Karin); K. Rhiem (Kerstin); A. Meindl (Alfons); D. Niederacher (Dieter); N. Ditsch (Nina); H. Plendl (Hansjoerg); S. Preisler-Adams (Sabine); S. Engert (Stefanie); C. Sutter (Christian); R. Varon-Mateeva (Raymonda); B. Wapenschmidt (Barbara); B.H.F. Weber (Bernhard); B. Arver (Brita Wasteson); M. Stenmark-Askmalm (M.); N. Loman (Niklas); R. Rosenquist (R.); Z. Einbeigi (Zakaria); K.L. Nathanson (Katherine); R. Rebbeck (Timothy); S.V. Blank (Stephanie); D.E. Cohn (David); G.C. Rodriguez (Gustavo); L. Small (Laurie); M. Friedlander (Michael); V.L. Bae-Jump (Victoria L.); A. Fink-Retter (Anneliese); C. Rappaport (Christine); D. Gschwantler-Kaulich (Daphne); G. Pfeiler (Georg); M.-K. Tea; N.M. Lindor (Noralane); B. Kaufman (Bella); S. Shimon Paluch (Shani); Y. Laitman (Yael); A.-B. Skytte (Anne-Bine); A-M. Gerdes (Anne-Marie); I.S. Pedersen (Inge Sokilde); S.T. Moeller (Sanne Traasdahl); T.A. Kruse (Torben); U.B. Jensen; J. Vijai (Joseph); K. Sarrel (Kara); M. Robson (Mark); N. Kauff (Noah); A.M. Mulligan (Anna Marie); G. Glendon (Gord); H. Ozcelik (Hilmi); B. Ejlertsen (Bent); F.C. Nielsen (Finn); L. Jønson (Lars); M.K. Andersen (Mette); Y.C. Ding (Yuan); L. Steele (Linda); L. Foretova (Lenka); A. Teulé (A.); C. Lazaro (Conxi); J. Brunet (Joan); M.A. Pujana (Miguel); P.L. Mai (Phuong); J.T. Loud (Jennifer); C.S. Walsh (Christine); K.J. Lester (Kathryn); S. Orsulic (Sandra); S. Narod (Steven); J. Herzog (Josef); S.R. Sand (Sharon); S. Tognazzo (Silvia); S. Agata (Simona); T. Vaszko (Tibor); J. Weaver (JoEllen); A. Stavropoulou (Alexandra); S.S. Buys (Saundra); A. Romero (Alfonso); M. de La Hoya (Miguel); K. Aittomäki (Kristiina); T.A. Muranen (Taru); M. Duran; W.K. Chung (Wendy); A. Lasa (Adriana); C.M. Dorfling (Cecelia); A. Miron (Alexander); J. Benítez (Javier); L. Senter (Leigha); D. Huo (Dezheng); S. Chan (Salina); A. Sokolenko (Anna); J. Chiquette (Jocelyne); L. Tihomirova (Laima); M.O.W. Friebel (Mark ); B.A. Agnarsson (Bjarni); K.H. Lu (Karen); F. Lejbkowicz (Flavio); P.A. James (Paul ); A.S. Hall (Alistair); A.M. Dunning (Alison); Y. Tessier (Yann); J. Cunningham (Jane); S. Slager (Susan); C. Wang (Chen); S. Hart (Stewart); K. Stevens (Kristen); J. Simard (Jacques); T. Pastinen (Tomi); V.S. Pankratz (Shane); K. Offit (Kenneth); D.F. Easton (Douglas); G. Chenevix-Trench (Georgia); A.C. Antoniou (Antonis); H. Thorne (Heather); E. Niedermayr (Eveline); Å. Borg (Åke); H. Olsson; H. Jernström (H.); K. Henriksson (Karin); K. Harbst (Katja); M. Soller (Maria); U. Kristoffersson (Ulf); A. Öfverholm (Anna); M. Nordling (Margareta); P. Karlsson (Per); A. von Wachenfeldt (Anna); A. Liljegren (Annelie); A. Lindblom (Annika); G.B. Bustinza; J. Rantala (Johanna); B. Melin (Beatrice); C.E. Ardnor (Christina Edwinsdotter); M. Emanuelsson (Monica); H. Ehrencrona (Hans); M.H. Pigg (Maritta ); S. Liedgren (Sigrun); M.A. Rookus (M.); S. Verhoef (S.); F.E. van Leeuwen (F.); M.K. Schmidt (Marjanka); J.L. de Lange (J.); J.M. Collee (Margriet); A.M.W. van den Ouweland (Ans); M.J. Hooning (Maartje); C.J. van Asperen (Christi); J.T. Wijnen (Juul); R.A.E.M. Tollenaar (Rob); P. Devilee (Peter); T.C.T.E.F. van Cronenburg; C.M. Kets; A.R. Mensenkamp (Arjen); R.B. van der Luijt (Rob); C.M. Aalfs (Cora); T.A.M. van Os (Theo); Q. Waisfisz (Quinten); E.J. Meijers-Heijboer (Hanne); E.B. Gomez Garcia (Encarna); J.C. Oosterwijk (Jan); M.J. Mourits; G.H. de Bock (Geertruida); S.D. Ellis (Steve); E. Fineberg (Elena); Z. Miedzybrodzka (Zosia); L. Jeffers (Lisa); T.J. Cole (Trevor); K.-R. Ong (Kai-Ren); J. Hoffman (Jonathan); M. James (Margaret); J. Paterson (Joan); A. Taylor (Amy); A. Murray (Anna); M.J. Kennedy (John); D.E. Barton (David); M.E. Porteous (Mary); S. Drummond (Sarah); C. Brewer (Carole); E. Kivuva (Emma); A. Searle (Anne); S. Goodman (Selina); R. Davidson (Rosemarie); V. Murday (Victoria); N. Bradshaw (Nicola); L. Snadden (Lesley); M. Longmuir (Mark); C. Watt (Catherine); S. Gibson (Sarah); E. Haque (Eshika); E. Tobias (Ed); A. Duncan (Alexis); L. Izatt (Louise); C. Jacobs (Chris); C. Langman (Caroline); A.F. Brady (Angela); S.A. Melville (Scott); K. Randhawa (Kashmir); J. Barwell (Julian); G. Serra-Feliu (Gemma); I.O. Ellis (Ian); F. Lalloo (Fiona); J. Taylor (James); A. Male (Alison); C. Berlin (Cheryl); R. Collier (Rebecca); F. Douglas (Fiona); O. Claber (Oonagh); I. Jobson (Irene); L.J. Walker (Lisa); D. McLeod (Diane); D. Halliday (Dorothy); S. Durell (Sarah); B. Stayner (Barbara); S. Shanley (Susan); N. Rahman (Nazneen); R. Houlston (Richard); A. Stormorken (Astrid); E. Bancroft (Elizabeth); E. Page (Elizabeth); A. Ardern-Jones (Audrey); K. Kohut (Kelly); J. Wiggins (Jennifer); E. Castro (Elena); S.R. Killick; S. Martin (Sue); D. Rea (Dan); A. Kulkarni (Anjana); O. Quarrell (Oliver); C. Bardsley (Cathryn); S. Goff (Sheila); G. Brice (Glen); L. Winchester (Lizzie); C. Eddy (Charlotte); V. Tripathi (Vishakha); V. Attard (Virginia); A. Lehmann (Anna); A. Lucassen (Anneke); G. Crawford (Gabe); D. McBride (Donna); S. Smalley (Sarah); S. Mazoyer (Sylvie); F. Damiola (Francesca); L. Barjhoux (Laure); C. Verny-Pierre (Carole); S. Giraud (Sophie); D. Stoppa-Lyonnet (Dominique); B. Buecher (Bruno); V. Moncoutier (Virginie); M. Belotti (Muriel); C. Tirapo (Carole); A. de Pauw (Antoine); B. Bressac-de Paillerets (Brigitte); O. Caron (Olivier); Y.-J. Bignon (Yves-Jean); N. Uhrhammer (Nancy); V. Bonadona (Valérie); S. Handallou (Sandrine); A. hardouin (Agnès); H. Sobol (Hagay); V. Bourdon (Violaine); T. Noguchi (Tetsuro); A. Remenieras (Audrey); F. Eisinger (François); J.-P. Peyrat; J. Fournier (Joëlle); F. Révillion (Françoise); P. Vennin (Philippe); C. Adenis (Claude); R. Lidereau (Rosette); L. Demange (Liliane); D.W. Muller (Danièle); J.P. Fricker (Jean Pierre); E. Barouk-Simonet (Emmanuelle); F. Bonnet (Françoise); V. Bubien (Virginie); N. Sevenet (Nicolas); M. Longy (Michel); C. Toulas (Christine); R. Guimbaud (Rosine); L. Gladieff (Laurence); V. Feillel (Viviane); H. Dreyfus (Hélène); C. Rebischung (Christine); M. Peysselon (Magalie); F. Coron (Fanny); L. Faivre (Laurence); M. Lebrun (Marine); C. Kientz (Caroline); S.F. Ferrer; M. Frenay (Marc); I. Mortemousque (Isabelle); F. Coulet (Florence); C. Colas (Chrystelle); F. Soubrier; J. Sokolowska (Johanna); M. Bronner (Myriam); H. Lynch (Henry); C.L. Snyder (Carrie); M. Angelakos (Maggie); J. Maskiell (Judi); G.S. Dite (Gillian)

    2013-01-01

    textabstractBRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), w

  19. Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk

    NARCIS (Netherlands)

    Couch, Fergus J.; Wang, Xianshu; McGuffog, Lesley; Lee, Andrew; Olswold, Curtis; Kuchenbaecker, Karoline B.; Soucy, Penny; Fredericksen, Zachary; Barrowdale, Daniel; Dennis, Joe; Gaudet, Mia M.; Dicks, Ed; Kosel, Matthew; Healey, Sue; Sinilnikova, Olga M.; Lee, Adam; Bacot, Francois; Vincent, Daniel; Hogervorst, Frans B. L.; Peock, Susan; Stoppa-Lyonnet, Dominique; Jakubowska, Anna; Radice, Paolo; Schmutzler, Rita Katharina; Domchek, Susan M.; Piedmonte, Marion; Singer, Christian F.; Friedman, Eitan; Thomassen, Mads; Hansen, Thomas V. O.; Neuhausen, Susan L.; Szabo, Csilla I.; Blanco, Ignacio; Greene, Mark H.; Karlan, Beth Y.; Garber, Judy; Phelan, Catherine M.; Weitzel, Jeffrey N.; Montagna, Marco; Olah, Edith; Andrulis, Irene L.; Godwin, Andrew K.; Yannoukakos, Drakoulis; Goldgar, David E.; Caldes, Trinidad; Nevanlinna, Heli; Osorio, Ana; Terry, Mary Beth; Daly, Mary B.; van Rensburg, Elizabeth J.; Hamann, Ute; Ramus, Susan J.; Toland, Amanda Ewart; Caligo, Maria A.; Olopade, Olufunmilayo I.; Tung, Nadine; Claes, Kathleen; Beattie, Mary S.; Southey, Melissa C.; Imyanitov, Evgeny N.; Tischkowitz, Marc; Janavicius, Ramunas; John, Esther M.; Kwong, Ava; Diez, Orland; Balmana, Judith; Barkardottir, Rosa B.; Arun, Banu K.; Rennert, Gad; Teo, Soo-Hwang; Ganz, Patricia A.; Campbell, Ian; van der Hout, Annemarie H.; van Deurzen, Carolien H. M.; Seynaeve, Caroline; Garcia, Encarna B. Gomez; van Leeuwen, Flora E.; Meijers-Heijboer, Hanne E. J.; Gille, Johannes J. P.; Ausems, Margreet G. E. M.; Blok, Marinus J.; Ligtenberg, Marjolijn J. L.; Rookus, Matti A.; Devilee, Peter; Verhoef, Senno; van Os, Theo A. M.; Wijnen, Juul T.; Frost, Debra; Ellis, Steve; Fineberg, Elena; Platte, Radka; Evans, D. Gareth; Izatt, Louise; Eeles, Rosalind A.; Adlard, Julian; Eccles, Diana M.; Cook, Jackie; Brewer, Carole; Douglas, Fiona; Hodgson, Shirley; Morrison, Patrick J.; Side, Lucy E.; Donaldson, Alan; Houghton, Catherine; Rogers, Mark T.; Dorkins, Huw; Eason, Jacqueline; Gregory, Helen; McCann, Emma; Murray, Alex; Calender, Alain; Hardouin, Agnes; Berthet, Pascaline; Delnatte, Capucine; Nogues, Catherine; Lasset, Christine; Houdayer, Claude; Leroux, Dominique; Rouleau, Etienne; Prieur, Fabienne; Damiola, Francesca; Sobol, Hagay; Coupier, Isabelle; Venat-Bouvet, Laurence; Castera, Laurent; Gauthier-Villars, Marion; Leone, Melanie; Pujol, Pascal; Mazoyer, Sylvie; Bignon, Yves-Jean; Zlowocka-Perlowska, Elzbieta; Gronwald, Jacek; Lubinski, Jan; Durda, Katarzyna; Jaworska, Katarzyna; Huzarski, Tomasz; Spurdle, Amanda B.; Viel, Alessandra; Peissel, Bernard; Bonanni, Bernardo; Melloni, Giulia; Ottini, Laura; Papi, Laura; Varesco, Liliana; Tibiletti, Maria Grazia; Peterlongo, Paolo; Volorio, Sara; Manoukian, Siranoush; Pensotti, Valeria; Arnold, Norbert; Engel, Christoph; Deissler, Helmut; Gadzicki, Dorothea; Gehrig, Andrea; Kast, Karin; Rhiem, Kerstin; Meindl, Alfons; Niederacher, Dieter; Ditsch, Nina; Plendl, Hansjoerg; Preisler-Adams, Sabine; Engert, Stefanie; Sutter, Christian; Varon-Mateeva, Raymonda; Wappenschmidt, Barbara; Weber, Bernhard H. F.; Arver, Brita; Stenmark-Askmalm, Marie; Loman, Niklas; Rosenquist, Richard; Einbeigi, Zakaria; Nathanson, Katherine L.; Rebbeck, Timothy R.; Blank, Stephanie V.; Cohn, David E.; Rodriguez, Gustavo C.; Small, Laurie; Friedlander, Michael; Bae-Jump, Victoria L.; Fink-Retter, Anneliese; Rappaport, Christine; Gschwantler-Kaulich, Daphne; Pfeiler, Georg; Tea, Muy-Kheng; Lindor, Noralane M.; Kaufman, Bella; Paluch, Shani Shimon; Laitman, Yael; Skytte, Anne-Bine; Gerdes, Anne-Marie; Pedersen, Inge Sokilde; Moeller, Sanne Traasdahl; Kruse, Torben A.; Jensen, Uffe Birk; Vijai, Joseph; Sarrel, Kara; Robson, Mark; Kauff, Noah; Mulligan, Anna Marie; Glendon, Gord; Ozcelik, Hilmi; Ejlertsen, Bent; Nielsen, Finn C.; Jonson, Lars; Andersen, Mette K.; Ding, Yuan Chun; Steele, Linda; Foretova, Lenka; Teule, Alex; Lazaro, Conxi; Brunet, Joan; Angel Pujana, Miquel; Mai, Phuong L.; Loud, Jennifer T.; Walsh, Christine; Lester, Jenny; Orsulic, Sandra; Narod, Steven A.; Herzog, Josef; Sand, Sharon R.; Tognazzo, Silvia; Agata, Simona; Vaszko, Tibor; Weaver, Joellen; Stavropoulou, Alexandra V.; Buys, Saundra S.; Romero, Atocha; de la Hoya, Miguel; Aittomaki, Kristiina; Muranen, Taru A.; Duran, Mercedes; Chung, Wendy K.; Lasa, Adriana; Dorfling, Cecilia M.; Miron, Alexander; Benitez, Javier; Senter, Leigha; Huo, Dezheng; Chan, Salina B.; Sokolenko, Anna P.; Chiquette, Jocelyne; Tihomirova, Laima; Friebel, Tara M.; Agnarsson, Bjarni A.; Lu, Karen H.; Lejbkowicz, Flavio; James, Paul A.; Hall, Per; Dunning, Alison M.

    2013-01-01

    BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a furthe

  20. Comparison of 6q25 breast cancer hits from Asian and European Genome Wide Association Studies in the Breast Cancer Association Consortium (BCAC.

    Directory of Open Access Journals (Sweden)

    Rebecca Hein

    Full Text Available The 6q25.1 locus was first identified via a genome-wide association study (GWAS in Chinese women and marked by single nucleotide polymorphism (SNP rs2046210, approximately 180 Kb upstream of ESR1. There have been conflicting reports about the association of this locus with breast cancer in Europeans, and a GWAS in Europeans identified a different SNP, tagged here by rs12662670. We examined the associations of both SNPs in up to 61,689 cases and 58,822 controls from forty-four studies collaborating in the Breast Cancer Association Consortium, of which four studies were of Asian and 39 of European descent. Logistic regression was used to estimate odds ratios (OR and 95% confidence intervals (CI. Case-only analyses were used to compare SNP effects in Estrogen Receptor positive (ER+ versus negative (ER- tumours. Models including both SNPs were fitted to investigate whether the SNP effects were independent. Both SNPs are significantly associated with breast cancer risk in both ethnic groups. Per-allele ORs are higher in Asian than in European studies [rs2046210: OR (A/G = 1.36 (95% CI 1.26-1.48, p = 7.6 × 10(-14 in Asians and 1.09 (95% CI 1.07-1.11, p = 6.8 × 10(-18 in Europeans. rs12662670: OR (G/T = 1.29 (95% CI 1.19-1.41, p = 1.2 × 10(-9 in Asians and 1.12 (95% CI 1.08-1.17, p = 3.8 × 10(-9 in Europeans]. SNP rs2046210 is associated with a significantly greater risk of ER- than ER+ tumours in Europeans [OR (ER- = 1.20 (95% CI 1.15-1.25, p = 1.8 × 10(-17 versus OR (ER+ = 1.07 (95% CI 1.04-1.1, p = 1.3 × 10(-7, p(heterogeneity = 5.1 × 10(-6]. In these Asian studies, by contrast, there is no clear evidence of a differential association by tumour receptor status. Each SNP is associated with risk after adjustment for the other SNP. These results suggest the presence of two variants at 6q25.1 each independently associated with breast cancer risk in Asians and in Europeans. Of these two, the one tagged by rs2046210 is associated with a greater

  1. Comparison of 6q25 Breast Cancer Hits from Asian and European Genome Wide Association Studies in the Breast Cancer Association Consortium (BCAC)

    Science.gov (United States)

    Hein, Rebecca; Maranian, Melanie; Hopper, John L.; Kapuscinski, Miroslaw K.; Southey, Melissa C.; Park, Daniel J.; Schmidt, Marjanka K.; Broeks, Annegien; Hogervorst, Frans B. L.; Bueno-de-Mesquit, H. Bas; Muir, Kenneth R.; Lophatananon, Artitaya; Rattanamongkongul, Suthee; Puttawibul, Puttisak; Fasching, Peter A.; Hein, Alexander; Ekici, Arif B.; Beckmann, Matthias W.; Fletcher, Olivia; Johnson, Nichola; dos Santos Silva, Isabel; Peto, Julian; Sawyer, Elinor; Tomlinson, Ian; Kerin, Michael; Miller, Nicola; Marmee, Frederick; Schneeweiss, Andreas; Sohn, Christof; Burwinkel, Barbara; Guénel, Pascal; Cordina-Duverger, Emilie; Menegaux, Florence; Truong, Thérèse; Bojesen, Stig E.; Nordestgaard, Børge G.; Flyger, Henrik; Milne, Roger L.; Perez, Jose Ignacio Arias; Zamora, M. Pilar; Benítez, Javier; Anton-Culver, Hoda; Ziogas, Argyrios; Bernstein, Leslie; Clarke, Christina A.; Brenner, Hermann; Müller, Heiko; Arndt, Volker; Stegmaier, Christa; Rahman, Nazneen; Seal, Sheila; Turnbull, Clare; Renwick, Anthony; Meindl, Alfons; Schott, Sarah; Bartram, Claus R.; Schmutzler, Rita K.; Brauch, Hiltrud; Hamann, Ute; Ko, Yon-Dschun; Wang-Gohrke, Shan; Dörk, Thilo; Schürmann, Peter; Karstens, Johann H.; Hillemanns, Peter; Nevanlinna, Heli; Heikkinen, Tuomas; Aittomäki, Kristiina; Blomqvist, Carl; Bogdanova, Natalia V.; Zalutsky, Iosif V.; Antonenkova, Natalia N.; Bermisheva, Marina; Prokovieva, Darya; Farahtdinova, Albina; Khusnutdinova, Elza; Lindblom, Annika; Margolin, Sara; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana; Chen, Xiaoqing; Beesley, Jonathan; Investigators, kConFab; Lambrechts, Diether; Zhao, Hui; Neven, Patrick; Wildiers, Hans; Nickels, Stefan; Flesch-Janys, Dieter; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Barile, Monica; Couch, Fergus J.; Olson, Janet E.; Wang, Xianshu; Fredericksen, Zachary; Giles, Graham G.; Baglietto, Laura; McLean, Catriona A.; Severi, Gianluca; Offit, Kenneth; Robson, Mark; Gaudet, Mia M.; Vijai, Joseph; Alnæs, Grethe Grenaker; Kristensen, Vessela; Børresen-Dale, Anne-Lise; John, Esther M.; Miron, Alexander; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Andrulis, Irene L.; Knight, Julia A.; Glendon, Gord; Mulligan, Anna Marie; Figueroa, Jonine D.; García-Closas, Montserrat; Lissowska, Jolanta; Sherman, Mark E.; Hooning, Maartje; Martens, John W. M.; Seynaeve, Caroline; Collée, Margriet; Hall, Per; Humpreys, Keith; Czene, Kamila; Liu, Jianjun; Cox, Angela; Brock, Ian W.; Cross, Simon S.; Reed, Malcolm W. R.; Ahmed, Shahana; Ghoussaini, Maya; Pharoah, Paul DP.; Kang, Daehee; Yoo, Keun-Young; Noh, Dong-Young; Jakubowska, Anna; Jaworska, Katarzyna; Durda, Katarzyna; Złowocka, Elżbieta; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; McKay, James; Shen, Chen-Yang; Yu, Jyh-Cherng; Hsu, Huan-Ming; Hou, Ming-Feng; Orr, Nick; Schoemaker, Minouk; Ashworth, Alan; Swerdlow, Anthony; Trentham-Dietz, Amy; Newcomb, Polly A.; Titus, Linda; Egan, Kathleen M.; Chenevix-Trench, Georgia; Antoniou, Antonis C.; Humphreys, Manjeet K.; Morrison, Jonathan; Chang-Claude, Jenny; Easton, Douglas F.; Dunning, Alison M.

    2012-01-01

    The 6q25.1 locus was first identified via a genome-wide association study (GWAS) in Chinese women and marked by single nucleotide polymorphism (SNP) rs2046210, approximately 180 Kb upstream of ESR1. There have been conflicting reports about the association of this locus with breast cancer in Europeans, and a GWAS in Europeans identified a different SNP, tagged here by rs12662670. We examined the associations of both SNPs in up to 61,689 cases and 58,822 controls from forty-four studies collaborating in the Breast Cancer Association Consortium, of which four studies were of Asian and 39 of European descent. Logistic regression was used to estimate odds ratios (OR) and 95% confidence intervals (CI). Case-only analyses were used to compare SNP effects in Estrogen Receptor positive (ER+) versus negative (ER−) tumours. Models including both SNPs were fitted to investigate whether the SNP effects were independent. Both SNPs are significantly associated with breast cancer risk in both ethnic groups. Per-allele ORs are higher in Asian than in European studies [rs2046210: OR (A/G) = 1.36 (95% CI 1.26–1.48), p = 7.6×10−14 in Asians and 1.09 (95% CI 1.07–1.11), p = 6.8×10−18 in Europeans. rs12662670: OR (G/T) = 1.29 (95% CI 1.19–1.41), p = 1.2×10−9 in Asians and 1.12 (95% CI 1.08–1.17), p = 3.8×10−9 in Europeans]. SNP rs2046210 is associated with a significantly greater risk of ER− than ER+ tumours in Europeans [OR (ER−) = 1.20 (95% CI 1.15–1.25), p = 1.8×10−17 versus OR (ER+) = 1.07 (95% CI 1.04–1.1), p = 1.3×10−7, pheterogeneity = 5.1×10−6]. In these Asian studies, by contrast, there is no clear evidence of a differential association by tumour receptor status. Each SNP is associated with risk after adjustment for the other SNP. These results suggest the presence of two variants at 6q25.1 each independently associated with breast cancer risk in Asians and in Europeans. Of these two, the one

  2. Genome-wide chromatin accessibility, DNA methylation and gene expression analysis of histone deacetylase inhibition in triple-negative breast cancer.

    Science.gov (United States)

    Bustos, Matias A; Salomon, Matthew P; Nelson, Nellie; Hsu, Sandy C; DiNome, Maggie L; Hoon, Dave S B; Marzese, Diego M

    2017-06-01

    Triple-negative breast cancer (TNBC), especially the subset with a basal phenotype, represents the most aggressive subtype of breast cancer. Unlike other solid tumors, TNBCs harbor a low number of driver mutations. Conversely, we and others have demonstrated a significant impact of epigenetic alterations, including DNA methylation and histone post-translational modifications, affecting TNBCs. Due to the promising results in pre-clinical studies, histone deacetylase inhibitors (HDACi) are currently being tested in several clinical trials for breast cancer and other solid tumors. However, the genome-wide epigenetic and transcriptomic implications of HDAC inhibition are still poorly understood. Here, we provide detailed information about the design of a multi-platform dataset that describes the epigenomic and transcriptomic effects of HDACi. This dataset includes genome-wide chromatin accessibility (assessed by ATAC-Sequencing), DNA methylation (assessed by Illumina HM450K BeadChip) and gene expression (assessed by RNA-Sequencing) analyses before and after HDACi treatment of HCC1806 and MDA-MB-231, two human TNBC cell lines with basal-like phenotype.

  3. Genome-wide Analysis of BP1 Transcriptional Targets in Breast Cancer Cell Line Hs578T

    Directory of Open Access Journals (Sweden)

    Yongchun Song, Chengxue Dang, Yebo Fu, Yi Lian, Jenny Hottel, Xuelan Li, Tim McCaffrey, Sidney W. Fu

    2009-01-01

    Full Text Available Homeobox genes are known to be critically important in tumor development and progression. The BP1 (Beta Protein 1 gene, an isoform of DLX4, belongs to the Distal-less (DLX subfamily of homeobox genes and encodes a homeodomain-containing transcription factor. Our studies have shown that the BP1 gene was overexpressed in 81% of primary breast cancer and its expression was closely correlated with the progression of breast cancer. However, the exact role of BP1 in breast has yet to be elucidated. Therefore, it is important to explore the potential transcriptional targets of BP1 via whole genome-scale screening. In this study, we used the chromatin immunoprecipitation on chip (ChIP-on-chip and gene expression microarray assays to identify candidate target genes and gene networks, which are directly regulated by BP1 in ER negative (ER- breast cancer cells. After rigorous bioinformatic and statistical analysis for both ChIP-on-chip and expression microarray gene lists, 18 overlapping genes were noted and verified. Those potential target genes are involved in a variety of tumorigenic pathways, which sheds light on the functional mechanisms of BP1 in breast cancer development and progression.

  4. Identification of a breast cancer susceptibility locus at 4q31.22 using a genome-wide association study paradigm.

    Directory of Open Access Journals (Sweden)

    Yadav Sapkota

    Full Text Available More than 40 single nucleotide polymorphisms (SNPs for breast cancer susceptibility were identified by genome-wide association studies (GWASs. However, additional SNPs likely contribute to breast cancer susceptibility and overall genetic risk, prompting this investigation for additional variants. Six putative breast cancer susceptibility SNPs identified in a two-stage GWAS that we reported earlier were replicated in a follow-up stage 3 study using an independent set of breast cancer cases and controls from Canada, with an overall cumulative sample size of 7,219 subjects across all three stages. The study design also encompassed the 11 variants from GWASs previously reported by various consortia between the years 2007-2009 to (i enable comparisons of effect sizes, and (ii identify putative prognostic variants across studies. All SNP associations reported with breast cancer were also adjusted for body mass index (BMI. We report a strong association with 4q31.22-rs1429142 (combined per allele odds ratio and 95% confidence interval = 1.28 [1.17-1.41] and P combined = 1.5×10(-7, when adjusted for BMI. Ten of the 11 breast cancer susceptibility loci reported by consortia also showed associations in our predominantly Caucasian study population, and the associations were independent of BMI; four FGFR2 SNPs and TNRC9-rs3803662 were among the most notable associations. Since the original report by Garcia-Closas et al. 2008, this is the second study to confirm the association of 8q24.21-rs13281615 with breast cancer outcomes.

  5. Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk

    Science.gov (United States)

    Wang, Xianshu; McGuffog, Lesley; Lee, Andrew; Olswold, Curtis; Kuchenbaecker, Karoline B.; Soucy, Penny; Fredericksen, Zachary; Barrowdale, Daniel; Dennis, Joe; Gaudet, Mia M.; Dicks, Ed; Kosel, Matthew; Healey, Sue; Sinilnikova, Olga M.; Lee, Adam; Bacot, François; Vincent, Daniel; Hogervorst, Frans B. L.; Peock, Susan; Stoppa-Lyonnet, Dominique; Jakubowska, Anna; Investigators, kConFab; Radice, Paolo; Schmutzler, Rita Katharina; Domchek, Susan M.; Piedmonte, Marion; Singer, Christian F.; Friedman, Eitan; Thomassen, Mads; Hansen, Thomas V. O.; Neuhausen, Susan L.; Szabo, Csilla I.; Blanco, Ignacio; Greene, Mark H.; Karlan, Beth Y.; Garber, Judy; Phelan, Catherine M.; Weitzel, Jeffrey N.; Montagna, Marco; Olah, Edith; Andrulis, Irene L.; Godwin, Andrew K.; Yannoukakos, Drakoulis; Goldgar, David E.; Caldes, Trinidad; Nevanlinna, Heli; Osorio, Ana; Terry, Mary Beth; Daly, Mary B.; van Rensburg, Elizabeth J.; Hamann, Ute; Ramus, Susan J.; Ewart Toland, Amanda; Caligo, Maria A.; Olopade, Olufunmilayo I.; Tung, Nadine; Claes, Kathleen; Beattie, Mary S.; Southey, Melissa C.; Imyanitov, Evgeny N.; Tischkowitz, Marc; Janavicius, Ramunas; John, Esther M.; Kwong, Ava; Diez, Orland; Balmaña, Judith; Barkardottir, Rosa B.; Arun, Banu K.; Rennert, Gad; Teo, Soo-Hwang; Ganz, Patricia A.; Campbell, Ian; van der Hout, Annemarie H.; van Deurzen, Carolien H. M.; Seynaeve, Caroline; Gómez Garcia, Encarna B.; van Leeuwen, Flora E.; Meijers-Heijboer, Hanne E. J.; Gille, Johannes J. P.; Ausems, Margreet G. E. M.; Blok, Marinus J.; Ligtenberg, Marjolijn J. L.; Rookus, Matti A.; Devilee, Peter; Verhoef, Senno; van Os, Theo A. M.; Wijnen, Juul T.; Frost, Debra; Ellis, Steve; Fineberg, Elena; Platte, Radka; Evans, D. Gareth; Izatt, Louise; Eeles, Rosalind A.; Adlard, Julian; Eccles, Diana M.; Cook, Jackie; Brewer, Carole; Douglas, Fiona; Hodgson, Shirley; Morrison, Patrick J.; Side, Lucy E.; Donaldson, Alan; Houghton, Catherine; Rogers, Mark T.; Dorkins, Huw; Eason, Jacqueline; Gregory, Helen; McCann, Emma; Murray, Alex; Calender, Alain; Hardouin, Agnès; Berthet, Pascaline; Delnatte, Capucine; Nogues, Catherine; Lasset, Christine; Houdayer, Claude; Leroux, Dominique; Rouleau, Etienne; Prieur, Fabienne; Damiola, Francesca; Sobol, Hagay; Coupier, Isabelle; Venat-Bouvet, Laurence; Castera, Laurent; Gauthier-Villars, Marion; Léoné, Mélanie; Pujol, Pascal; Mazoyer, Sylvie; Bignon, Yves-Jean; Złowocka-Perłowska, Elżbieta; Gronwald, Jacek; Lubinski, Jan; Durda, Katarzyna; Jaworska, Katarzyna; Huzarski, Tomasz; Spurdle, Amanda B.; Viel, Alessandra; Peissel, Bernard; Bonanni, Bernardo; Melloni, Giulia; Ottini, Laura; Papi, Laura; Varesco, Liliana; Tibiletti, Maria Grazia; Peterlongo, Paolo; Volorio, Sara; Manoukian, Siranoush; Pensotti, Valeria; Arnold, Norbert; Engel, Christoph; Deissler, Helmut; Gadzicki, Dorothea; Gehrig, Andrea; Kast, Karin; Rhiem, Kerstin; Meindl, Alfons; Niederacher, Dieter; Ditsch, Nina; Plendl, Hansjoerg; Preisler-Adams, Sabine; Engert, Stefanie; Sutter, Christian; Varon-Mateeva, Raymonda; Wappenschmidt, Barbara; Weber, Bernhard H. F.; Arver, Brita; Stenmark-Askmalm, Marie; Loman, Niklas; Rosenquist, Richard; Einbeigi, Zakaria; Nathanson, Katherine L.; Rebbeck, Timothy R.; Blank, Stephanie V.; Cohn, David E.; Rodriguez, Gustavo C.; Small, Laurie; Friedlander, Michael; Bae-Jump, Victoria L.; Fink-Retter, Anneliese; Rappaport, Christine; Gschwantler-Kaulich, Daphne; Pfeiler, Georg; Tea, Muy-Kheng; Lindor, Noralane M.; Kaufman, Bella; Shimon Paluch, Shani; Laitman, Yael; Skytte, Anne-Bine; Gerdes, Anne-Marie; Pedersen, Inge Sokilde; Moeller, Sanne Traasdahl; Kruse, Torben A.; Jensen, Uffe Birk; Vijai, Joseph; Sarrel, Kara; Robson, Mark; Kauff, Noah; Mulligan, Anna Marie; Glendon, Gord; Ozcelik, Hilmi; Ejlertsen, Bent; Nielsen, Finn C.; Jønson, Lars; Andersen, Mette K.; Ding, Yuan Chun; Steele, Linda; Foretova, Lenka; Teulé, Alex; Lazaro, Conxi; Brunet, Joan; Pujana, Miquel Angel; Mai, Phuong L.; Loud, Jennifer T.; Walsh, Christine; Lester, Jenny; Orsulic, Sandra; Narod, Steven A.; Herzog, Josef; Sand, Sharon R.; Tognazzo, Silvia; Agata, Simona; Vaszko, Tibor; Weaver, Joellen; Stavropoulou, Alexandra V.; Buys, Saundra S.; Romero, Atocha; de la Hoya, Miguel; Aittomäki, Kristiina; Muranen, Taru A.; Duran, Mercedes; Chung, Wendy K.; Lasa, Adriana; Dorfling, Cecilia M.; Miron, Alexander; Benitez, Javier; Senter, Leigha; Huo, Dezheng; Chan, Salina B.; Sokolenko, Anna P.; Chiquette, Jocelyne; Tihomirova, Laima; Friebel, Tara M.; Agnarsson, Bjarni A.; Lu, Karen H.; Lejbkowicz, Flavio; James, Paul A.; Hall, Per

    2013-01-01

    BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7×10−8, HR = 1.14, 95% CI: 1.09–1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4×10−8, HR = 1.27, 95% CI: 1.17–1.38) and 4q32.3 (rs4691139, P = 3.4×10−8, HR = 1.20, 95% CI: 1.17–1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2×10−4). These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%–50% compared to 81%–100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers. PMID:23544013

  6. Genome-wide association study in BRCA1 mutation carriers identifies novel loci associated with breast and ovarian cancer risk.

    Directory of Open Access Journals (Sweden)

    Fergus J Couch

    Full Text Available BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer, with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7 × 10(-8, HR = 1.14, 95% CI: 1.09-1.20. In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303, P = 1.4 × 10(-8, HR = 1.27, 95% CI: 1.17-1.38 and 4q32.3 (rs4691139, P = 3.4 × 10(-8, HR = 1.20, 95% CI: 1.17-1.38. The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also associated with ovarian cancer risk in 8,211 BRCA2 carriers (P = 2×10(-4. These loci may lead to an improved understanding of the etiology of breast and ovarian tumors in BRCA1 carriers. Based on the joint distribution of the known BRCA1 breast cancer risk-modifying loci, we estimated that the breast cancer lifetime risks for the 5% of BRCA1 carriers at lowest risk are 28%-50% compared to 81%-100% for the 5% at highest risk. Similarly, based on the known ovarian cancer risk-modifying loci, the 5% of BRCA1 carriers at lowest risk have an estimated lifetime risk of developing ovarian cancer of 28% or lower, whereas the 5% at highest risk will have a risk of 63% or higher. Such differences in risk may have important implications for risk prediction and clinical management for BRCA1 carriers.

  7. Genome-Wide Association Study in BRCA1 Mutation Carriers Identifies Novel Loci Associated with Breast and Ovarian Cancer Risk

    DEFF Research Database (Denmark)

    Couch, Fergus J; Wang, Xianshu; McGuffog, Lesley;

    2013-01-01

    BRCA1-associated breast and ovarian cancer risks can be modified by common genetic variants. To identify further cancer risk-modifying loci, we performed a multi-stage GWAS of 11,705 BRCA1 carriers (of whom 5,920 were diagnosed with breast and 1,839 were diagnosed with ovarian cancer......), with a further replication in an additional sample of 2,646 BRCA1 carriers. We identified a novel breast cancer risk modifier locus at 1q32 for BRCA1 carriers (rs2290854, P = 2.7 × 10(-8), HR = 1.14, 95% CI: 1.09-1.20). In addition, we identified two novel ovarian cancer risk modifier loci: 17q21.31 (rs17631303......, P = 1.4 × 10(-8), HR = 1.27, 95% CI: 1.17-1.38) and 4q32.3 (rs4691139, P = 3.4 × 10(-8), HR = 1.20, 95% CI: 1.17-1.38). The 4q32.3 locus was not associated with ovarian cancer risk in the general population or BRCA2 carriers, suggesting a BRCA1-specific association. The 17q21.31 locus was also...

  8. Genome-wide profiling of AP-1-regulated transcription provides insights into the invasiveness of triple-negative breast cancer.

    Science.gov (United States)

    Zhao, Chunyan; Qiao, Yichun; Jonsson, Philip; Wang, Jian; Xu, Li; Rouhi, Pegah; Sinha, Indranil; Cao, Yihai; Williams, Cecilia; Dahlman-Wright, Karin

    2014-07-15

    Triple-negative breast cancer (TNBC) is an aggressive clinical subtype accounting for up to 20% of all breast cancers, but its malignant determinants remain largely undefined. Here, we show that in TNBC the overexpression of Fra-1, a component of the transcription factor AP-1, offers prognostic potential. Fra-1 depletion or its heterodimeric partner c-Jun inhibits the proliferative and invasive phenotypes of TNBC cells in vitro. Similarly, RNAi-mediated attenuation of Fra-1 or c-Jun reduced cellular invasion in vivo in a zebrafish tumor xenograft model. Exploring the AP-1 cistrome and the AP-1-regulated transcriptome, we obtained insights into the transcriptional regulatory networks of AP-1 in TNBC cells. Among the direct targets identified for Fra-1/c-Jun involved in proliferation, adhesion, and cell-cell contact, we found that AP-1 repressed the expression of E-cadherin by transcriptional upregulation of ZEB2 to stimulate cell invasion. Overall, this work illuminates the pathways through which TNBC cells acquire invasive and proliferative properties.

  9. Genome-wide functional genetic screen with the anticancer agent AMPI-109 identifies PRL-3 as an oncogenic driver in triple-negative breast cancers.

    Science.gov (United States)

    Gari, Hamid H; Gearheart, Christy M; Fosmire, Susan; DeGala, Gregory D; Fan, Zeying; Torkko, Kathleen C; Edgerton, Susan M; Lucia, M Scott; Ray, Rahul; Thor, Ann D; Porter, Christopher C; Lambert, James R

    2016-03-29

    Triple-negative breast cancers (TNBC) are among the most aggressive and heterogeneous cancers with a high propensity to invade, metastasize and relapse. Here, we demonstrate that the anticancer compound, AMPI-109, is selectively efficacious in inhibiting proliferation and inducing apoptosis of multiple TNBC subtype cell lines as assessed by activation of pro-apoptotic caspases-3 and 7, PARP cleavage and nucleosomal DNA fragmentation. AMPI-109 had little to no effect on growth in the majority of non-TNBC cell lines examined. We therefore utilized AMPI-109 in a genome-wide shRNA screen in the TNBC cell line, BT-20, to investigate the utility of AMPI-109 as a tool in helping to identify molecular alterations unique to TNBC. Our screen identified the oncogenic phosphatase, PRL-3, as a potentially important driver of TNBC growth, migration and invasion. Through stable lentiviral knock downs and transfection with catalytically impaired PRL-3 in TNBC cells, loss of PRL-3 expression, or functionality, led to substantial growth inhibition. Moreover, AMPI-109 treatment, downregulation of PRL-3 expression or impairment of PRL-3 activity reduced TNBC cell migration and invasion. Histological evaluation of human breast cancers revealed PRL-3 was significantly, though not exclusively, associated with the TNBC subtype and correlated positively with regional and distant metastases, as well as 1 and 3 year relapse free survival. Collectively, our study is proof-of-concept that AMPI-109, a selectively active agent against TNBC cell lines, can be used as a molecular tool to uncover unique drivers of disease progression, such as PRL-3, which we show promotes oncogenic phenotypes in TNBC cells.

  10. Genome-wide Association Studies from the Cancer Genetic Markers of Susceptibility (CGEMS) Initiative | Office of Cancer Genomics

    Science.gov (United States)

    CGEMS identifies common inherited genetic variations associated with a number of cancers, including breast and prostate. Data from these genome-wide association studies (GWAS) are available through the Division of Cancer Epidemiology & Genetics website.

  11. Cancer genetic association studies in the genome-wide age

    OpenAIRE

    Savage, Sharon A

    2008-01-01

    Genome-wide association studies of hundreds of thousands of SNPs have led to a deluge of studies of genetic variation in cancer and other common diseases. Large case–control and cohort studies have identified novel SNPs as markers of cancer risk. Genome-wide association study SNP data have also advanced understanding of population-specific genetic variation. While studies of risk profiles, combinations of SNPs that may increase cancer risk, are not yet clinically applicable, future, large-sca...

  12. A Genome-wide Pleiotropy Scan for Prostate Cancer Risk

    Science.gov (United States)

    Panagiotou, Orestis A; Travis, Ruth C; Campa, Daniele; Berndt, Sonja I.; Lindstrom, Sara; Kraft, Peter; Schumacher, Fredrick R.; Siddiq, Afshan; Papatheodorou, Stefania I.; Stanford, Janet L.; Albanes, Demetrius; Virtamo, Jarmo; Weinstein, Stephanie J.; Diver, W. Ryan; Gapstur, Susan M.; Stevens, Victoria L.; Boeing, Heiner; Bueno-de-Mesquita, H. Bas; Gurrea, Aurelio Barricarte; Kaaks, Rudolf; Khaw, Kay-Tee; Krogh, Vittorio; Overvad, Kim; Riboli, Elio; Trichopoulos, Dimitrios; Giovannucci, Edward; Stampfer, Meir; Haiman, Christopher; Henderson, Brian; Le Marchand, Loic; Gaziano, J. Michael; Hunter, DavidJ.; Koutros, Stella; Yeager, Meredith; Hoover, Robert N.; Chanock, Stephen J.; Wacholder, Sholom; Key, Timothy J.; Tsilidis, Konstantinos K

    2014-01-01

    Background No single-nucleotide polymorphisms (SNPs) specific for aggressive prostate cancer have been identified in genome-wide association studies (GWAS). Objective To test if SNPs associated with other traits may also affect the risk of aggressive prostate cancer. Design, setting, and participants SNPs implicated in any phenotype other than prostate cancer (p ≤ 10−7) were identified through the catalog of published GWAS and tested in 2891 aggressive prostate cancer cases and 4592 controls from the Breast and Prostate Cancer Cohort Consortium (BPC3). The 40 most significant SNPs were followed up in 4872 aggressive prostate cancer cases and 24 534 controls from the Prostate Cancer Association Group to Investigate Cancer Associated Alterations in the Genome (PRACTICAL) consortium. Outcome measurements and statistical analysis Odds ratios (ORs) and 95% confidence intervals (CIs) for aggressive prostate cancer were estimated. Results and limitations A total of 4666 SNPs were evaluated by the BPC3. Two signals were seen in regions already reported for prostate cancer risk. rs7014346 at 8q24.21 was marginally associated with aggressive prostate cancer in the BPC3 trial (p = 1.6 × 10-6), whereas after meta-analysis by PRACTICAL the summary OR was 1.21 (95%CI 1.16–1.27; p = 3.22 × 10−18). rs9900242 at 17q24.3 was also marginally associated with aggressive disease in the meta-analysis (OR 0.90, 95% CI 0.86–0.94; p = 2.5 × 10−6). Neither of these SNPs remained statistically significant when conditioning on correlated known prostate cancer SNPs. The meta-analysis by BPC3 and PRACTICAL identified a third promising signal, marked by rs16844874 at 2q34, independent of known prostate cancer loci (OR 1.12,95% CI 1.06–1.19; p = 4.67 × 10−5); it has been shown that SNPs correlated with this signal affect glycine concentrations. The main limitation is the heterogeneity in the definition of aggressive prostate cancer between BPC3 and PRACTICAL. Conclusions We did

  13. Genome-wide testing of putative functional exonic variants in relationship with breast and prostate cancer risk in a multiethnic population.

    Directory of Open Access Journals (Sweden)

    Christopher A Haiman

    2013-03-01

    Full Text Available Rare variation in protein coding sequence is poorly captured by GWAS arrays and has been hypothesized to contribute to disease heritability. Using the Illumina HumanExome SNP array, we successfully genotyped 191,032 common and rare non-synonymous, splice site, or nonsense variants in a multiethnic sample of 2,984 breast cancer cases, 4,376 prostate cancer cases, and 7,545 controls. In breast cancer, the strongest associations included either SNPs in or gene burden scores for genes LDLRAD1, SLC19A1, FGFBP3, CASP5, MMAB, SLC16A6, and INS-IGF2. In prostate cancer, one of the most associated SNPs was in the gene GPRC6A (rs2274911, Pro91Ser, OR = 0.88, P = 1.3 × 10(-5 near to a known risk locus for prostate cancer; other suggestive associations were noted in genes such as F13A1, ANXA4, MANSC1, and GP6. For both breast and prostate cancer, several of the most significant associations involving SNPs or gene burden scores (sum of minor alleles were noted in genes previously reported to be associated with a cancer-related phenotype. However, only one of the associations (rs145889899 in LDLRAD1, p = 2.5 × 10(-7 only seen in African Americans for overall breast or prostate cancer risk was statistically significant after correcting for multiple comparisons. In addition to breast and prostate cancer, other cancer-related traits were examined (body mass index, PSA level, and alcohol drinking with a number of known and potentially novel associations described. In general, these findings do not support there being many protein coding variants of moderate to high risk for breast and prostate cancer with odds ratios over a range that is probably required for protein coding variation to play a truly outstanding role in risk heritability. Very large sample sizes will be required to better define the role of rare and less penetrant coding variation in prostate and breast cancer disease genetics.

  14. Genome-wide effects of MELK-inhibitor in triple-negative breast cancer cells indicate context-dependent response with p53 as a key determinant

    Science.gov (United States)

    Simon, Marisa; Mesmar, Fahmi; Helguero, Luisa

    2017-01-01

    Triple-negative breast cancer (TNBC) is an aggressive, highly recurrent breast cancer subtype, affecting approximately one-fifth of all breast cancer patients. Subpopulations of treatment-resistant cancer stem cells within the tumors are considered to contribute to disease recurrence. A potential druggable target for such cells is the maternal embryonic leucine-zipper kinase (MELK). MELK expression is upregulated in mammary stem cells and in undifferentiated cancers, where it correlates with poor prognosis and potentially mediates treatment resistance. Several MELK inhibitors have been developed, of which one, OTSSP167, is currently in clinical trials. In order to better understand how MELK and its inhibition influence TNBC, we verified its anti-proliferative and apoptotic effects in claudin-low TNBC cell lines MDA-MB-231 and SUM-159 using MTS assays and/or trypan blue viability assays together with analysis of PARP cleavage. Then, using microarrays, we explored which genes were affected by OTSSP167. We demonstrate that different sets of genes are regulated in MDA-MB-231 and SUM-159, but in both cell lines genes involved in cell cycle, mitosis and protein metabolism and folding were regulated. We identified p53 (TP53) as a potential upstream regulator of the regulated genes. Using western blot we found that OTSSP167 downregulates mutant p53 in all tested TNBC cell lines (MDA-MB-231, SUM-159, and BT-549), but upregulates wild-type p53 in the luminal A subtype MCF-7 cell line. We propose that OTSSP167 might have context-dependent or off-target effects, but that one consistent mechanism of action could involve the destabilization of mutant p53. PMID:28235006

  15. Genome-wide effects of MELK-inhibitor in triple-negative breast cancer cells indicate context-dependent response with p53 as a key determinant.

    Science.gov (United States)

    Simon, Marisa; Mesmar, Fahmi; Helguero, Luisa; Williams, Cecilia

    2017-01-01

    Triple-negative breast cancer (TNBC) is an aggressive, highly recurrent breast cancer subtype, affecting approximately one-fifth of all breast cancer patients. Subpopulations of treatment-resistant cancer stem cells within the tumors are considered to contribute to disease recurrence. A potential druggable target for such cells is the maternal embryonic leucine-zipper kinase (MELK). MELK expression is upregulated in mammary stem cells and in undifferentiated cancers, where it correlates with poor prognosis and potentially mediates treatment resistance. Several MELK inhibitors have been developed, of which one, OTSSP167, is currently in clinical trials. In order to better understand how MELK and its inhibition influence TNBC, we verified its anti-proliferative and apoptotic effects in claudin-low TNBC cell lines MDA-MB-231 and SUM-159 using MTS assays and/or trypan blue viability assays together with analysis of PARP cleavage. Then, using microarrays, we explored which genes were affected by OTSSP167. We demonstrate that different sets of genes are regulated in MDA-MB-231 and SUM-159, but in both cell lines genes involved in cell cycle, mitosis and protein metabolism and folding were regulated. We identified p53 (TP53) as a potential upstream regulator of the regulated genes. Using western blot we found that OTSSP167 downregulates mutant p53 in all tested TNBC cell lines (MDA-MB-231, SUM-159, and BT-549), but upregulates wild-type p53 in the luminal A subtype MCF-7 cell line. We propose that OTSSP167 might have context-dependent or off-target effects, but that one consistent mechanism of action could involve the destabilization of mutant p53.

  16. Genome-wide association analysis in East Asians identifies breast cancer susceptibility loci at 1q32.1, 5q14.3 and 15q26.1

    Science.gov (United States)

    Cai, Qiuyin; Zhang, Ben; Sung, Hyuna; Low, Siew-Kee; Kweon, Sun-Seog; Lu, Wei; Shi, Jiajun; Long, Jirong; Wen, Wanqing; Choi, Ji-Yeob; Noh, Dong-Young; Shen, Chen-Yang; Matsuo, Keitaro; Teo, Soo-Hwang; Kim, Mi Kyung; Khoo, Ui Soon; Iwasaki, Motoki; Hartman, Mikael; Takahashi, Atsushi; Ashikawa, Kyota; Matsuda, Koichi; Shin, Min-Ho; Park, Min Ho; Zheng, Ying; Xiang, Yong-Bing; Ji, Bu-Tian; Park, Sue K.; Wu, Pei-Ei; Hsiung, Chia-Ni; Ito, Hidemi; Kasuga, Yoshio; Kang, Peter; Mariapun, Shivaani; Ahn, Sei Hyun; Kang, Han Sung; Chan, Kelvin Y. K.; Man, Ellen P. S.; Iwata, Hiroji; Tsugane, Shoichiro; Miao, Hui; Liao, Jiemin; Nakamura, Yusuke; Kubo, Michiaki; Delahanty, Ryan J.; Zhang, Yanfeng; Li, Bingshan; Li, Chun; Gao, Yu-Tang; Shu, Xiao-Ou; Kang, Daehee; Zheng, Wei

    2014-01-01

    In a three-stage genome-wide association study among East Asian women including 22,780 cases and 24,181 controls, we identified three novel genetic loci associated with breast cancer risk, including rs4951011 at 1q32.1 (in intron 2 of the ZC3H11A gene, P = 8.82 × 10−9), rs10474352 at 5q14.3 (near the ARRDC3 gene, P = 1.67 × 10−9), and rs2290203 at 15q26.1 (in intron 14 of the PRC1 gene, P = 4.25 × 10−8). These associations were replicated in European-ancestry populations including 16,003 cases and 41,335 controls (P = 0.030, 0.004, and 0.010, respectively). Data from the ENCODE project suggest that variants rs4951011 and rs10474352 may be located in an enhancer region and transcription factor binding sites, respectively. This study provides additional insights into the genetics and biology of breast cancer. PMID:25038754

  17. Genome-wide analysis reveals PADI4 cooperates with Elk-1 to activate c-Fos expression in breast cancer cells.

    Directory of Open Access Journals (Sweden)

    Xuesen Zhang

    2011-06-01

    Full Text Available Peptidylarginine deiminase IV (PADI4 catalyzes the conversion of positively charged arginine and methylarginine residues to neutrally charged citrulline, and this activity has been linked to the repression of a limited number of target genes. To broaden our knowledge of the regulatory potential of PADI4, we utilized chromatin immunoprecipitation coupled with promoter tiling array (ChIP-chip analysis to more comprehensively investigate the range of PADI4 target genes across the genome in MCF-7 breast cancer cells. Results showed that PADI4 is enriched in gene promoter regions near transcription start sites (TSSs; and, surprisingly, this pattern of binding is primarily associated with actively transcribed genes. Computational analysis found potential binding sites for Elk-1, a member of the ETS oncogene family, to be highly enriched around PADI4 binding sites; and coimmunoprecipitation analysis then confirmed that Elk-1 physically associates with PADI4. To better understand how PADI4 may facilitate gene transactivation, we then show that PADI4 interacts with Elk-1 at the c-Fos promoter and that, following Epidermal Growth Factor (EGF stimulation, PADI4 catalytic activity facilitates Elk-1 phosphorylation, histone H4 acetylation, and c-Fos transcriptional activation. These results define a novel role for PADI4 as a transcription factor co-activator.

  18. Genome-wide identification of significant aberrations in cancer genome

    Directory of Open Access Journals (Sweden)

    Yuan Xiguo

    2012-07-01

    Full Text Available Abstract Background Somatic Copy Number Alterations (CNAs in human genomes are present in almost all human cancers. Systematic efforts to characterize such structural variants must effectively distinguish significant consensus events from random background aberrations. Here we introduce Significant Aberration in Cancer (SAIC, a new method for characterizing and assessing the statistical significance of recurrent CNA units. Three main features of SAIC include: (1 exploiting the intrinsic correlation among consecutive probes to assign a score to each CNA unit instead of single probes; (2 performing permutations on CNA units that preserve correlations inherent in the copy number data; and (3 iteratively detecting Significant Copy Number Aberrations (SCAs and estimating an unbiased null distribution by applying an SCA-exclusive permutation scheme. Results We test and compare the performance of SAIC against four peer methods (GISTIC, STAC, KC-SMART, CMDS on a large number of simulation datasets. Experimental results show that SAIC outperforms peer methods in terms of larger area under the Receiver Operating Characteristics curve and increased detection power. We then apply SAIC to analyze structural genomic aberrations acquired in four real cancer genome-wide copy number data sets (ovarian cancer, metastatic prostate cancer, lung adenocarcinoma, glioblastoma. When compared with previously reported results, SAIC successfully identifies most SCAs known to be of biological significance and associated with oncogenes (e.g., KRAS, CCNE1, and MYC or tumor suppressor genes (e.g., CDKN2A/B. Furthermore, SAIC identifies a number of novel SCAs in these copy number data that encompass tumor related genes and may warrant further studies. Conclusions Supported by a well-grounded theoretical framework, SAIC has been developed and used to identify SCAs in various cancer copy number data sets, providing useful information to study the landscape of cancer genomes

  19. Genome-wide association study of colorectal cancer in Hispanics

    Science.gov (United States)

    Schmit, Stephanie L.; Schumacher, Fredrick R.; Edlund, Christopher K.; Conti, David V.; Ihenacho, Ugonna; Wan, Peggy; Van Den Berg, David; Casey, Graham; Fortini, Barbara K.; Lenz, Heinz-Josef; Tusié-Luna, Teresa; Aguilar-Salinas, Carlos A.; Moreno-Macías, Hortensia; Huerta-Chagoya, Alicia; Ordóñez-Sánchez, María Luisa; Rodríguez-Guillén, Rosario; Cruz-Bautista, Ivette; Rodríguez-Torres, Maribel; Muñóz-Hernández, Linda Liliana; Arellano-Campos, Olimpia; Gómez, Donají; Alvirde, Ulices; González-Villalpando, Clicerio; González-Villalpando, María Elena; Le Marchand, Loic; Haiman, Christopher A.; Figueiredo, Jane C.

    2016-01-01

    Genome-wide association studies (GWAS) have identified 58 susceptibility alleles across 37 regions associated with the risk of colorectal cancer (CRC) with P < 5×10−8. Most studies have been conducted in non-Hispanic whites and East Asians; however, the generalizability of these findings and the potential for ethnic-specific risk variation in Hispanic and Latino (HL) individuals have been largely understudied. We describe the first GWAS of common genetic variation contributing to CRC risk in HL (1611 CRC cases and 4330 controls). We also examine known susceptibility alleles and implement imputation-based fine-mapping to identify potential ethnicity-specific association signals in known risk regions. We discovered 17 variants across 4 independent regions that merit further investigation due to suggestive CRC associations (P < 1×10−6) at 1p34.3 (rs7528276; Odds Ratio (OR) = 1.86 [95% confidence interval (CI): 1.47–2.36); P = 2.5×10−7], 2q23.3 (rs1367374; OR = 1.37 (95% CI: 1.21–1.55); P = 4.0×10−7), 14q24.2 (rs143046984; OR = 1.65 (95% CI: 1.36–2.01); P = 4.1×10−7) and 16q12.2 [rs142319636; OR = 1.69 (95% CI: 1.37–2.08); P=7.8×10−7]. Among the 57 previously published CRC susceptibility alleles with minor allele frequency ≥1%, 76.5% of SNPs had a consistent direction of effect and 19 (33.3%) were nominally statistically significant (P < 0.05). Further, rs185423955 and rs60892987 were identified as novel secondary susceptibility variants at 3q26.2 (P = 5.3×10–5) and 11q12.2 (P = 6.8×10−5), respectively. Our findings demonstrate the importance of fine mapping in HL. These results are informative for variant prioritization in functional studies and future risk prediction modeling in minority populations. PMID:27207650

  20. Genome-wide association study identifies new prostate cancer susceptibility loci

    DEFF Research Database (Denmark)

    Schumacher, Fredrick R.; Berndt, Sonja I.; Siddiq, Afshan

    2011-01-01

    Prostate cancer (PrCa) is the most common non-skin cancer diagnosed among males in developed countries and the second leading cause of cancer mortality, yet little is known regarding its etiology and factors that influence clinical outcome. Genome-wide association studies (GWAS) of PrCa have iden...

  1. Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study

    DEFF Research Database (Denmark)

    Kote-Jarai, Zsofia; Olama, Ali Amin Al; Giles, Graham G

    2011-01-01

    Prostate cancer (PrCa) is the most frequently diagnosed male cancer in developed countries. We conducted a multi-stage genome-wide association study for PrCa and previously reported the results of the first two stages, which identified 16 PrCa susceptibility loci. We report here the results of st...

  2. Genome-wide association study of prostate cancer-specific survival

    DEFF Research Database (Denmark)

    Szulkin, Robert; Karlsson, Robert; Whitington, Thomas

    2015-01-01

    BACKGROUND: Unnecessary intervention and overtreatment of indolent disease are common challenges in clinical management of prostate cancer. Improved tools to distinguish lethal from indolent disease are critical. METHODS: We performed a genome-wide survival analysis of cause-specific death in 24,...

  3. Five endometrial cancer risk loci identified through genome-wide association analysis.

    Science.gov (United States)

    Cheng, Timothy H T; Thompson, Deborah J; O'Mara, Tracy A; Painter, Jodie N; Glubb, Dylan M; Flach, Susanne; Lewis, Annabelle; French, Juliet D; Freeman-Mills, Luke; Church, David; Gorman, Maggie; Martin, Lynn; Hodgson, Shirley; Webb, Penelope M; Attia, John; Holliday, Elizabeth G; McEvoy, Mark; Scott, Rodney J; Henders, Anjali K; Martin, Nicholas G; Montgomery, Grant W; Nyholt, Dale R; Ahmed, Shahana; Healey, Catherine S; Shah, Mitul; Dennis, Joe; Fasching, Peter A; Beckmann, Matthias W; Hein, Alexander; Ekici, Arif B; Hall, Per; Czene, Kamila; Darabi, Hatef; Li, Jingmei; Dörk, Thilo; Dürst, Matthias; Hillemanns, Peter; Runnebaum, Ingo; Amant, Frederic; Schrauwen, Stefanie; Zhao, Hui; Lambrechts, Diether; Depreeuw, Jeroen; Dowdy, Sean C; Goode, Ellen L; Fridley, Brooke L; Winham, Stacey J; Njølstad, Tormund S; Salvesen, Helga B; Trovik, Jone; Werner, Henrica M J; Ashton, Katie; Otton, Geoffrey; Proietto, Tony; Liu, Tao; Mints, Miriam; Tham, Emma; Li, Mulin Jun; Yip, Shun H; Wang, Junwen; Bolla, Manjeet K; Michailidou, Kyriaki; Wang, Qin; Tyrer, Jonathan P; Dunlop, Malcolm; Houlston, Richard; Palles, Claire; Hopper, John L; Peto, Julian; Swerdlow, Anthony J; Burwinkel, Barbara; Brenner, Hermann; Meindl, Alfons; Brauch, Hiltrud; Lindblom, Annika; Chang-Claude, Jenny; Couch, Fergus J; Giles, Graham G; Kristensen, Vessela N; Cox, Angela; Cunningham, Julie M; Pharoah, Paul D P; Dunning, Alison M; Edwards, Stacey L; Easton, Douglas F; Tomlinson, Ian; Spurdle, Amanda B

    2016-06-01

    We conducted a meta-analysis of three endometrial cancer genome-wide association studies (GWAS) and two follow-up phases totaling 7,737 endometrial cancer cases and 37,144 controls of European ancestry. Genome-wide imputation and meta-analysis identified five new risk loci of genome-wide significance at likely regulatory regions on chromosomes 13q22.1 (rs11841589, near KLF5), 6q22.31 (rs13328298, in LOC643623 and near HEY2 and NCOA7), 8q24.21 (rs4733613, telomeric to MYC), 15q15.1 (rs937213, in EIF2AK4, near BMF) and 14q32.33 (rs2498796, in AKT1, near SIVA1). We also found a second independent 8q24.21 signal (rs17232730). Functional studies of the 13q22.1 locus showed that rs9600103 (pairwise r(2) = 0.98 with rs11841589) is located in a region of active chromatin that interacts with the KLF5 promoter region. The rs9600103[T] allele that is protective in endometrial cancer suppressed gene expression in vitro, suggesting that regulation of the expression of KLF5, a gene linked to uterine development, is implicated in tumorigenesis. These findings provide enhanced insight into the genetic and biological basis of endometrial cancer.

  4. Genome-wide association study identifies multiple loci associated with bladder cancer risk

    Science.gov (United States)

    Figueroa, Jonine D.; Ye, Yuanqing; Siddiq, Afshan; Garcia-Closas, Montserrat; Chatterjee, Nilanjan; Prokunina-Olsson, Ludmila; Cortessis, Victoria K.; Kooperberg, Charles; Cussenot, Olivier; Benhamou, Simone; Prescott, Jennifer; Porru, Stefano; Dinney, Colin P.; Malats, Núria; Baris, Dalsu; Purdue, Mark; Jacobs, Eric J.; Albanes, Demetrius; Wang, Zhaoming; Deng, Xiang; Chung, Charles C.; Tang, Wei; Bas Bueno-de-Mesquita, H.; Trichopoulos, Dimitrios; Ljungberg, Börje; Clavel-Chapelon, Françoise; Weiderpass, Elisabete; Krogh, Vittorio; Dorronsoro, Miren; Travis, Ruth; Tjønneland, Anne; Brenan, Paul; Chang-Claude, Jenny; Riboli, Elio; Conti, David; Gago-Dominguez, Manuela; Stern, Mariana C.; Pike, Malcolm C.; Van Den Berg, David; Yuan, Jian-Min; Hohensee, Chancellor; Rodabough, Rebecca; Cancel-Tassin, Geraldine; Roupret, Morgan; Comperat, Eva; Chen, Constance; De Vivo, Immaculata; Giovannucci, Edward; Hunter, David J.; Kraft, Peter; Lindstrom, Sara; Carta, Angela; Pavanello, Sofia; Arici, Cecilia; Mastrangelo, Giuseppe; Kamat, Ashish M.; Lerner, Seth P.; Barton Grossman, H.; Lin, Jie; Gu, Jian; Pu, Xia; Hutchinson, Amy; Burdette, Laurie; Wheeler, William; Kogevinas, Manolis; Tardón, Adonina; Serra, Consol; Carrato, Alfredo; García-Closas, Reina; Lloreta, Josep; Schwenn, Molly; Karagas, Margaret R.; Johnson, Alison; Schned, Alan; Armenti, Karla R.; Hosain, G.M.; Andriole, Gerald; Grubb, Robert; Black, Amanda; Ryan Diver, W.; Gapstur, Susan M.; Weinstein, Stephanie J.; Virtamo, Jarmo; Haiman, Chris A.; Landi, Maria T.; Caporaso, Neil; Fraumeni, Joseph F.; Vineis, Paolo; Wu, Xifeng; Silverman, Debra T.; Chanock, Stephen; Rothman, Nathaniel

    2014-01-01

    Candidate gene and genome-wide association studies (GWAS) have identified 11 independent susceptibility loci associated with bladder cancer risk. To discover additional risk variants, we conducted a new GWAS of 2422 bladder cancer cases and 5751 controls, followed by a meta-analysis with two independently published bladder cancer GWAS, resulting in a combined analysis of 6911 cases and 11 814 controls of European descent. TaqMan genotyping of 13 promising single nucleotide polymorphisms with P < 1 × 10−5 was pursued in a follow-up set of 801 cases and 1307 controls. Two new loci achieved genome-wide statistical significance: rs10936599 on 3q26.2 (P = 4.53 × 10−9) and rs907611 on 11p15.5 (P = 4.11 × 10−8). Two notable loci were also identified that approached genome-wide statistical significance: rs6104690 on 20p12.2 (P = 7.13 × 10−7) and rs4510656 on 6p22.3 (P = 6.98 × 10−7); these require further studies for confirmation. In conclusion, our study has identified new susceptibility alleles for bladder cancer risk that require fine-mapping and laboratory investigation, which could further understanding into the biological underpinnings of bladder carcinogenesis. PMID:24163127

  5. Genome-wide search for gene-gene interactions in colorectal cancer.

    Directory of Open Access Journals (Sweden)

    Shuo Jiao

    Full Text Available Genome-wide association studies (GWAS have successfully identified a number of single-nucleotide polymorphisms (SNPs associated with colorectal cancer (CRC risk. However, these susceptibility loci known today explain only a small fraction of the genetic risk. Gene-gene interaction (GxG is considered to be one source of the missing heritability. To address this, we performed a genome-wide search for pair-wise GxG associated with CRC risk using 8,380 cases and 10,558 controls in the discovery phase and 2,527 cases and 2,658 controls in the replication phase. We developed a simple, but powerful method for testing interaction, which we term the Average Risk Due to Interaction (ARDI. With this method, we conducted a genome-wide search to identify SNPs showing evidence for GxG with previously identified CRC susceptibility loci from 14 independent regions. We also conducted a genome-wide search for GxG using the marginal association screening and examining interaction among SNPs that pass the screening threshold (p<10(-4. For the known locus rs10795668 (10p14, we found an interacting SNP rs367615 (5q21 with replication p = 0.01 and combined p = 4.19×10(-8. Among the top marginal SNPs after LD pruning (n = 163, we identified an interaction between rs1571218 (20p12.3 and rs10879357 (12q21.1 (nominal combined p = 2.51×10(-6; Bonferroni adjusted p = 0.03. Our study represents the first comprehensive search for GxG in CRC, and our results may provide new insight into the genetic etiology of CRC.

  6. Noninvasive detection of cancer-associated genome-wide hypomethylation and copy number aberrations by plasma DNA bisulfite sequencing

    Science.gov (United States)

    Chan, K. C. Allen; Jiang, Peiyong; Chan, Carol W. M.; Sun, Kun; Wong, John; Hui, Edwin P.; Chan, Stephen L.; Chan, Wing Cheong; Hui, David S. C.; Ng, Simon S. M.; Chan, Henry L. Y.; Wong, Cesar S. C.; Ma, Brigette B. Y.; Chan, Anthony T. C.; Lai, Paul B. S.; Sun, Hao; Chiu, Rossa W. K.; Lo, Y. M. Dennis

    2013-01-01

    We explored the detection of genome-wide hypomethylation in plasma using shotgun massively parallel bisulfite sequencing as a marker for cancer. Tumor-associated copy number aberrations (CNAs) could also be observed from the bisulfite DNA sequencing data. Hypomethylation and CNAs were detected in the plasma DNA of patients with hepatocellular carcinoma, breast cancer, lung cancer, nasopharyngeal cancer, smooth muscle sarcoma, and neuroendocrine tumor. For the detection of nonmetastatic cancer cases, plasma hypomethylation gave a sensitivity and specificity of 74% and 94%, respectively, when a mean of 93 million reads per case were obtained. Reducing the sequencing depth to 10 million reads per case was found to have no adverse effect on the sensitivity and specificity for cancer detection, giving respective figures of 68% and 94%. This characteristic thus indicates that analysis of plasma hypomethylation by this sequencing-based method may be a relatively cost-effective approach for cancer detection. We also demonstrated that plasma hypomethylation had utility for monitoring hepatocellular carcinoma patients following tumor resection and for detecting residual disease. Plasma hypomethylation can be combined with plasma CNA analysis for further enhancement of the detection sensitivity or specificity using different diagnostic algorithms. Using the detection of at least one type of aberration to define an abnormality, a sensitivity of 87% could be achieved with a specificity of 88%. These developments have thus expanded the applications of plasma DNA analysis for cancer detection and monitoring. PMID:24191000

  7. Five endometrial cancer risk loci identified through genome-wide association analysis

    Science.gov (United States)

    O’Mara, Tracy A; Painter, Jodie N; Glubb, Dylan M; Flach, Susanne; Lewis, Annabelle; French, Juliet D; Freeman-Mills, Luke; Church, David; Gorman, Maggie; Martin, Lynn; Hodgson, Shirley; Webb, Penelope M; Attia, John; Holliday, Elizabeth G; McEvoy, Mark; Scott, Rodney J; Henders, Anjali K; Martin, Nicholas G; Montgomery, Grant W; Nyholt, Dale R; Ahmed, Shahana; Healey, Catherine S; Shah, Mitul; Dennis, Joe; Fasching, Peter A; Beckmann, Matthias W; Hein, Alexander; Ekici, Arif B; Hall, Per; Czene, Kamila; Darabi, Hatef; Li, Jingmei; Dörk, Thilo; Dürst, Matthias; Hillemanns, Peter; Runnebaum, Ingo; Amant, Frederic; Schrauwen, Stefanie; Zhao, Hui; Lambrechts, Diether; Depreeuw, Jeroen; Dowdy, Sean C; Goode, Ellen L; Fridley, Brooke L; Winham, Stacey J; Njølstad, Tormund S; Salvesen, Helga B; Trovik, Jone; Werner, Henrica MJ; Ashton, Katie; Otton, Geoffrey; Proietto, Tony; Liu, Tao; Mints, Miriam; Tham, Emma; Consortium, CHIBCHA; Jun Li, Mulin; Yip, Shun H; Wang, Junwen; Bolla, Manjeet K; Michailidou, Kyriaki; Wang, Qin; Tyrer, Jonathan P; Dunlop, Malcolm; Houlston, Richard; Palles, Claire; Hopper, John L; Peto, Julian; Swerdlow, Anthony J; Burwinkel, Barbara; Brenner, Hermann; Meindl, Alfons; Brauch, Hiltrud; Lindblom, Annika; Chang-Claude, Jenny; Couch, Fergus J; Giles, Graham G; Kristensen, Vessela N; Cox, Angela; Cunningham, Julie M; Pharoah, Paul D P; Dunning, Alison M; Edwards, Stacey L; Easton, Douglas F; Tomlinson, Ian; Spurdle, Amanda B

    2016-01-01

    We conducted a meta-analysis of three endometrial cancer GWAS and two replication phases totaling 7,737 endometrial cancer cases and 37,144 controls of European ancestry. Genome-wide imputation and meta-analysis identified five novel risk loci of genome-wide significance at likely regulatory regions on chromosomes 13q22.1 (rs11841589, near KLF5), 6q22.31 (rs13328298, in LOC643623 and near HEY2 and NCOA7), 8q24.21 (rs4733613, telomeric to MYC), 15q15.1 (rs937213, in EIF2AK4, near BMF) and 14q32.33 (rs2498796, in AKT1 near SIVA1). A second independent 8q24.21 signal (rs17232730) was found. Functional studies of the 13q22.1 locus showed that rs9600103 (pairwise r2=0.98 with rs11841589) is located in a region of active chromatin that interacts with the KLF5 promoter region. The rs9600103-T endometrial cancer protective allele suppressed gene expression in vitro suggesting that regulation of KLF5 expression, a gene linked to uterine development, is implicated in tumorigenesis. These findings provide enhanced insight into the genetic and biological basis of endometrial cancer. PMID:27135401

  8. A genome-wide association study of upper aerodigestive tract cancers conducted within the INHANCE consortium.

    Directory of Open Access Journals (Sweden)

    James D McKay

    2011-03-01

    Full Text Available Genome-wide association studies (GWAS have been successful in identifying common genetic variation involved in susceptibility to etiologically complex disease. We conducted a GWAS to identify common genetic variation involved in susceptibility to upper aero-digestive tract (UADT cancers. Genome-wide genotyping was carried out using the Illumina HumanHap300 beadchips in 2,091 UADT cancer cases and 3,513 controls from two large European multi-centre UADT cancer studies, as well as 4,821 generic controls. The 19 top-ranked variants were investigated further in an additional 6,514 UADT cancer cases and 7,892 controls of European descent from an additional 13 UADT cancer studies participating in the INHANCE consortium. Five common variants presented evidence for significant association in the combined analysis (p ≤ 5 × 10⁻⁷. Two novel variants were identified, a 4q21 variant (rs1494961, p = 1×10⁻⁸ located near DNA repair related genes HEL308 and FAM175A (or Abraxas and a 12q24 variant (rs4767364, p =2 × 10⁻⁸ located in an extended linkage disequilibrium region that contains multiple genes including the aldehyde dehydrogenase 2 (ALDH2 gene. Three remaining variants are located in the ADH gene cluster and were identified previously in a candidate gene study involving some of these samples. The association between these three variants and UADT cancers was independently replicated in 5,092 UADT cancer cases and 6,794 controls non-overlapping samples presented here (rs1573496-ADH7, p = 5 × 10⁻⁸; rs1229984-ADH1B, p = 7 × 10⁻⁹; and rs698-ADH1C, p = 0.02. These results implicate two variants at 4q21 and 12q24 and further highlight three ADH variants in UADT cancer susceptibility.

  9. A genome-wide association study of upper aerodigestive tract cancers conducted within the INHANCE consortium.

    LENUS (Irish Health Repository)

    McKay, James D

    2011-03-01

    Genome-wide association studies (GWAS) have been successful in identifying common genetic variation involved in susceptibility to etiologically complex disease. We conducted a GWAS to identify common genetic variation involved in susceptibility to upper aero-digestive tract (UADT) cancers. Genome-wide genotyping was carried out using the Illumina HumanHap300 beadchips in 2,091 UADT cancer cases and 3,513 controls from two large European multi-centre UADT cancer studies, as well as 4,821 generic controls. The 19 top-ranked variants were investigated further in an additional 6,514 UADT cancer cases and 7,892 controls of European descent from an additional 13 UADT cancer studies participating in the INHANCE consortium. Five common variants presented evidence for significant association in the combined analysis (p ≤ 5 × 10⁻⁷). Two novel variants were identified, a 4q21 variant (rs1494961, p = 1×10⁻⁸) located near DNA repair related genes HEL308 and FAM175A (or Abraxas) and a 12q24 variant (rs4767364, p =2 × 10⁻⁸) located in an extended linkage disequilibrium region that contains multiple genes including the aldehyde dehydrogenase 2 (ALDH2) gene. Three remaining variants are located in the ADH gene cluster and were identified previously in a candidate gene study involving some of these samples. The association between these three variants and UADT cancers was independently replicated in 5,092 UADT cancer cases and 6,794 controls non-overlapping samples presented here (rs1573496-ADH7, p = 5 × 10⁻⁸); rs1229984-ADH1B, p = 7 × 10⁻⁹; and rs698-ADH1C, p = 0.02). These results implicate two variants at 4q21 and 12q24 and further highlight three ADH variants in UADT cancer susceptibility.

  10. Genome-wide interaction study of smoking and bladder cancer risk

    Science.gov (United States)

    Figueroa, Jonine D.; Han, Summer S.; Garcia-Closas, Montserrat; Baris, Dalsu; Jacobs, Eric J.; Kogevinas, Manolis; Schwenn, Molly; Malats, Nuria; Johnson, Alison; Purdue, Mark P.; Caporaso, Neil; Landi, Maria Teresa; Prokunina-Olsson, Ludmila; Wang, Zhaoming; Hutchinson, Amy; Burdette, Laurie; Wheeler, William; Vineis, Paolo; Siddiq, Afshan; Cortessis, Victoria K.; Kooperberg, Charles; Cussenot, Olivier; Benhamou, Simone; Prescott, Jennifer; Porru, Stefano; Bueno-de-Mesquita, H.Bas; Trichopoulos, Dimitrios; Ljungberg, Börje; Clavel-Chapelon, Françoise; Weiderpass, Elisabete; Krogh, Vittorio; Dorronsoro, Miren; Travis, Ruth; Tjønneland, Anne; Brenan, Paul; Chang-Claude, Jenny; Riboli, Elio; Conti, David; Gago-Dominguez, Manuela; Stern, Mariana C.; Pike, Malcolm C.; Van Den Berg, David; Yuan, Jian-Min; Hohensee, Chancellor; Rodabough, Rebecca; Cancel-Tassin, Geraldine; Roupret, Morgan; Comperat, Eva; Chen, Constance; De Vivo, Immaculata; Giovannucci, Edward; Hunter, David J.; Kraft, Peter; Lindstrom, Sara; Carta, Angela; Pavanello, Sofia; Arici, Cecilia; Mastrangelo, Giuseppe; Karagas, Margaret R.; Schned, Alan; Armenti, Karla R.; Hosain, G.M.Monawar; Haiman, Chris A.; Fraumeni, Joseph F.; Chanock, Stephen J.; Chatterjee, Nilanjan; Rothman, Nathaniel; Silverman, Debra T.

    2014-01-01

    Bladder cancer is a complex disease with known environmental and genetic risk factors. We performed a genome-wide interaction study (GWAS) of smoking and bladder cancer risk based on primary scan data from 3002 cases and 4411 controls from the National Cancer Institute Bladder Cancer GWAS. Alternative methods were used to evaluate both additive and multiplicative interactions between individual single nucleotide polymorphisms (SNPs) and smoking exposure. SNPs with interaction P values < 5 × 10− 5 were evaluated further in an independent dataset of 2422 bladder cancer cases and 5751 controls. We identified 10 SNPs that showed association in a consistent manner with the initial dataset and in the combined dataset, providing evidence of interaction with tobacco use. Further, two of these novel SNPs showed strong evidence of association with bladder cancer in tobacco use subgroups that approached genome-wide significance. Specifically, rs1711973 (FOXF2) on 6p25.3 was a susceptibility SNP for never smokers [combined odds ratio (OR) = 1.34, 95% confidence interval (CI) = 1.20–1.50, P value = 5.18 × 10− 7]; and rs12216499 (RSPH3-TAGAP-EZR) on 6q25.3 was a susceptibility SNP for ever smokers (combined OR = 0.75, 95% CI = 0.67–0.84, P value = 6.35 × 10− 7). In our analysis of smoking and bladder cancer, the tests for multiplicative interaction seemed to more commonly identify susceptibility loci with associations in never smokers, whereas the additive interaction analysis identified more loci with associations among smokers—including the known smoking and NAT2 acetylation interaction. Our findings provide additional evidence of gene–environment interactions for tobacco and bladder cancer. PMID:24662972

  11. Genome-wide association study for ovarian cancer susceptibility using pooled DNA

    DEFF Research Database (Denmark)

    Lu, Yi; Chen, Xiaoqing; Beesley, Jonathan;

    2012-01-01

    Recent Genome-Wide Association Studies (GWAS) have identified four low-penetrance ovarian cancer susceptibility loci. We hypothesized that further moderate- or low-penetrance variants exist among the subset of single-nucleotide polymorphisms (SNPs) not well tagged by the genotyping arrays used...... in a much larger stage 2 set of 4,651 cases and 6,966 controls from the Ovarian Cancer Association Consortium. Given that most of the top 20 SNPs from pooling were validated in the same samples by individual genotyping, the lack of replication is likely to be due to the relatively small sample size in our...... stage 1 GWAS rather than due to problems with the pooling approach. We conclude that there are unlikely to be any moderate or large effects on ovarian cancer risk untagged by less dense arrays. However, our study lacked power to make clear statements on the existence of hitherto untagged small...

  12. Genome-wide association study of colorectal cancer identifies six new susceptibility loci

    Science.gov (United States)

    Schumacher, Fredrick R.; Schmit, Stephanie L.; Jiao, Shuo; Edlund, Christopher K.; Wang, Hansong; Zhang, Ben; Hsu, Li; Huang, Shu-Chen; Fischer, Christopher P.; Harju, John F.; Idos, Gregory E.; Lejbkowicz, Flavio; Manion, Frank J.; McDonnell, Kevin; McNeil, Caroline E.; Melas, Marilena; Rennert, Hedy S.; Shi, Wei; Thomas, Duncan C.; Van Den Berg, David J.; Hutter, Carolyn M.; Aragaki, Aaron K.; Butterbach, Katja; Caan, Bette J.; Carlson, Christopher S.; Chanock, Stephen J.; Curtis, Keith R.; Fuchs, Charles S.; Gala, Manish; Giovannucci, Edward L.; Gogarten, Stephanie M.; Hayes, Richard B.; Henderson, Brian; Hunter, David J.; Jackson, Rebecca D.; Kolonel, Laurence N.; Kooperberg, Charles; Küry, Sébastien; LaCroix, Andrea; Laurie, Cathy C.; Laurie, Cecelia A.; Lemire, Mathieu; Levine, David; Ma, Jing; Makar, Karen W.; Qu, Conghui; Taverna, Darin; Ulrich, Cornelia M.; Wu, Kana; Kono, Suminori; West, Dee W.; Berndt, Sonja I.; Bezieau, Stéphane; Brenner, Hermann; Campbell, Peter T.; Chan, Andrew T.; Chang-Claude, Jenny; Coetzee, Gerhard A.; Conti, David V.; Duggan, David; Figueiredo, Jane C.; Fortini, Barbara K.; Gallinger, Steven J.; Gauderman, W. James; Giles, Graham; Green, Roger; Haile, Robert; Harrison, Tabitha A.; Hoffmeister, Michael; Hopper, John L.; Hudson, Thomas J.; Jacobs, Eric; Iwasaki, Motoki; Jee, Sun Ha; Jenkins, Mark; Jia, Wei-Hua; Joshi, Amit; Li, Li; Lindor, Noralene M.; Matsuo, Keitaro; Moreno, Victor; Mukherjee, Bhramar; Newcomb, Polly A.; Potter, John D.; Raskin, Leon; Rennert, Gad; Rosse, Stephanie; Severi, Gianluca; Schoen, Robert E.; Seminara, Daniela; Shu, Xiao-Ou; Slattery, Martha L.; Tsugane, Shoichiro; White, Emily; Xiang, Yong-Bing; Zanke, Brent W.; Zheng, Wei; Le Marchand, Loic; Casey, Graham; Gruber, Stephen B.; Peters, Ulrike

    2016-01-01

    Genetic susceptibility to colorectal cancer is caused by rare pathogenic mutations and common genetic variants that contribute to familial risk. Here we report the results of a two-stage association study with 18,299 cases of colorectal cancer and 19,656 controls, with follow-up of the most statistically significant genetic loci in 4,725 cases and 9,969 controls from two Asian consortia. We describe six new susceptibility loci reaching a genome-wide threshold of P<5.0E-08. These findings provide additional insight into the underlying biological mechanisms of colorectal cancer and demonstrate the scientific value of large consortia-based genetic epidemiology studies. PMID:26151821

  13. Genome-wide DNA methylation modified by soy phytoestrogens: role for epigenetic therapeutics in prostate cancer?

    Science.gov (United States)

    Karsli-Ceppioglu, Seher; Ngollo, Marjolaine; Adjakly, Mawussi; Dagdemir, Aslihan; Judes, Gaëlle; Lebert, André; Boiteux, Jean-Paul; Penault-LLorca, Frédérique; Bignon, Yves-Jean; Guy, Laurent; Bernard-Gallon, Dominique

    2015-04-01

    In prostate cancer, DNA methylation is significantly associated with tumor initiation, progression, and metastasis. Previous studies have suggested that soy phytoestrogens might regulate DNA methylation at individual candidate gene loci and that they play a crucial role as potential therapeutic agents for prostate cancer. The purpose of our study was to examine the modulation effects of phytoestrogens on a genome-wide scale in regards to DNA methylation in prostate cancer. Prostate cancer cell lines DU-145 and LNCaP were treated with 40 μM of genistein and 110 μM of daidzein. DNMT inhibitor 5-azacytidine (2 μM) and the methylating agent budesonide (2 μM) were used to compare their demethylation/methylation effects with phytoestrogens. The regulatory effects of phytoestrogens on DNA methylation were analyzed by using a methyl-DNA immunoprecipitation method coupled with Human DNA Methylation Microarrays (MeDIP-chip). We observed that the methylation profiles of 58 genes were altered by genistein and daidzein treatments in DU-145 and LNCaP prostate cancer cells. In addition, the methylation frequencies of the MAD1L1, TRAF7, KDM4B, and hTERT genes were remarkably modified by genistein treatment. Our results suggest that the modulation effects of phytoestrogens on DNA methylation essentially lead to inhibition of cell growth and induction of apoptosis. Genome-wide methylation profiling reported here suggests that epigenetic regulation mechanisms and, by extension, epigenetics-driven novel therapeutic candidates warrant further consideration in future "omics" studies of prostate cancer.

  14. A genome-wide association study identifies susceptibility loci for ovarian cancer at 2q31 and 8q24

    DEFF Research Database (Denmark)

    Goode, Ellen L; Chenevix-Trench, Georgia; Song, Honglin;

    2010-01-01

    Ovarian cancer accounts for more deaths than all other gynecological cancers combined. To identify common low-penetrance ovarian cancer susceptibility genes, we conducted a genome-wide association study of 507,094 SNPs in 1,768 individuals with ovarian cancer (cases) and 2,354 controls, with foll...

  15. Integrated analysis of copy number variation and genome-wide expression profiling in colorectal cancer tissues.

    Science.gov (United States)

    Ali Hassan, Nur Zarina; Mokhtar, Norfilza Mohd; Kok Sin, Teow; Mohamed Rose, Isa; Sagap, Ismail; Harun, Roslan; Jamal, Rahman

    2014-01-01

    Integrative analyses of multiple genomic datasets for selected samples can provide better insight into the overall data and can enhance our knowledge of cancer. The objective of this study was to elucidate the association between copy number variation (CNV) and gene expression in colorectal cancer (CRC) samples and their corresponding non-cancerous tissues. Sixty-four paired CRC samples from the same patients were subjected to CNV profiling using the Illumina HumanOmni1-Quad assay, and validation was performed using multiplex ligation probe amplification method. Genome-wide expression profiling was performed on 15 paired samples from the same group of patients using the Affymetrix Human Gene 1.0 ST array. Significant genes obtained from both array results were then overlapped. To identify molecular pathways, the data were mapped to the KEGG database. Whole genome CNV analysis that compared primary tumor and non-cancerous epithelium revealed gains in 1638 genes and losses in 36 genes. Significant gains were mostly found in chromosome 20 at position 20q12 with a frequency of 45.31% in tumor samples. Examples of genes that were associated at this cytoband were PTPRT, EMILIN3 and CHD6. The highest number of losses was detected at chromosome 8, position 8p23.2 with 17.19% occurrence in all tumor samples. Among the genes found at this cytoband were CSMD1 and DLC1. Genome-wide expression profiling showed 709 genes to be up-regulated and 699 genes to be down-regulated in CRC compared to non-cancerous samples. Integration of these two datasets identified 56 overlapping genes, which were located in chromosomes 8, 20 and 22. MLPA confirmed that the CRC samples had the highest gains in chromosome 20 compared to the reference samples. Interpretation of the CNV data in the context of the transcriptome via integrative analyses may provide more in-depth knowledge of the genomic landscape of CRC.

  16. Integrated analysis of copy number variation and genome-wide expression profiling in colorectal cancer tissues.

    Directory of Open Access Journals (Sweden)

    Nur Zarina Ali Hassan

    Full Text Available Integrative analyses of multiple genomic datasets for selected samples can provide better insight into the overall data and can enhance our knowledge of cancer. The objective of this study was to elucidate the association between copy number variation (CNV and gene expression in colorectal cancer (CRC samples and their corresponding non-cancerous tissues. Sixty-four paired CRC samples from the same patients were subjected to CNV profiling using the Illumina HumanOmni1-Quad assay, and validation was performed using multiplex ligation probe amplification method. Genome-wide expression profiling was performed on 15 paired samples from the same group of patients using the Affymetrix Human Gene 1.0 ST array. Significant genes obtained from both array results were then overlapped. To identify molecular pathways, the data were mapped to the KEGG database. Whole genome CNV analysis that compared primary tumor and non-cancerous epithelium revealed gains in 1638 genes and losses in 36 genes. Significant gains were mostly found in chromosome 20 at position 20q12 with a frequency of 45.31% in tumor samples. Examples of genes that were associated at this cytoband were PTPRT, EMILIN3 and CHD6. The highest number of losses was detected at chromosome 8, position 8p23.2 with 17.19% occurrence in all tumor samples. Among the genes found at this cytoband were CSMD1 and DLC1. Genome-wide expression profiling showed 709 genes to be up-regulated and 699 genes to be down-regulated in CRC compared to non-cancerous samples. Integration of these two datasets identified 56 overlapping genes, which were located in chromosomes 8, 20 and 22. MLPA confirmed that the CRC samples had the highest gains in chromosome 20 compared to the reference samples. Interpretation of the CNV data in the context of the transcriptome via integrative analyses may provide more in-depth knowledge of the genomic landscape of CRC.

  17. Genome-wide association analysis identifies new lung cancer susceptibility loci in never-smoking women in Asia.

    NARCIS (Netherlands)

    Lan, Q.; Hsiung, C.A.; Matsuo, K.; Hong, Y.C.; Seow, A.; Wang, Z.; Hosgood, H.D.; Chen, K.; Wang, J.C.; Chatterjee, N.; Hu, W.; Wong, M.P.; Zheng, W.; Caporaso, N.; Park, J.Y.; Chen, C.J.; Kim, Y.H.; Kim, Y.T.; Landi, M.T.; Shen, H.; Lawrence, C.; Burdett, L.; Yeager, M.; Yuenger, J.; Jacobs, K.B.; Chang, I.S.; Mitsudomi, T.; Kim, H.N.; Chang, G.C.; Bassig, B.A.; Tucker, M.; Wei, F.; Yin, Y.; Wu, C.; An, S.J.; Qian, B.; Lee, V.H.; Lu, D.; Liu, J.; Jeon, H.S.; Hsiao, C.F.; Sung, J.S.; Kim, J.H.; Gao, Y.T.; Tsai, Y.H.; Jung, Y.J.; Guo, H.; Hu, Z.; Hutchinson, A.; Wang, W.C.; Klein, R.; Chung, C.C.; Oh, I.J.; Chen, K.Y.; Berndt, S.I.; He, X.; Wu, W.; Chang, J.; Zhang, X.C.; Huang, M.S.; Zheng, H.; Wang, J.; Zhao, X.; Li, Y.; Choi, J.E.; Su, W.C.; Park, K.H.; Sung, S.W.; Shu, X.O.; Chen, Y.M.; Liu, L.; Kang, C.H.; Hu, L.; Chen, C.H.; Pao, W.; Kim, Y.C.; Yang, T.Y.; Xu, J.; Guan, P.; Tan, W.; Su, J.; Wang, C.L.; Li, H.; Sihoe, A.D.; Zhao, Z.; Chen, Y.; Choi, Y.Y.; Hung, J.Y.; Kim, J.S.; Yoon, H.I.; Cai, Q.; Lin, C.C.; Park, I.K.; Xu, P.; Dong, J.; Kim, C.; He, Q; Perng, R.P.; Kohno, T.; Kweon, S.S.; Chen, C.Y.; Vermeulen, R.; Wu, J.; Lim, W.Y.; Chen, K.C.; Chow, W.H.; Ji, B.T.; Chan, J.K.; Chu, M.; Li, Y.J.; Yokota, J.; Li, J.; Chen, H.; Xiang, Y.B.; Yu, C.J.; Kunitoh, H.; Wu, G.; Jin, L.; Lo, Y.L.; Shiraishi, K.; Chen, Y.H.; Lin, H.C.; Wu, T.; WU, Y.; Yang, P.C.; Zhou, B.; Shin, M.H.; Fraumeni, J.F.; Lin, D.; Chanock, S.J.; Rothman, N.

    2012-01-01

    To identify common genetic variants that contribute to lung cancer susceptibility, we conducted a multistage genome-wide association study of lung cancer in Asian women who never smoked. We scanned 5,510 never-smoking female lung cancer cases and 4,544 controls drawn from 14 studies from mainland Ch

  18. Use of genome-wide association studies for cancer research and drug repositioning.

    Directory of Open Access Journals (Sweden)

    Jizhun Zhang

    Full Text Available Although genome-wide association studies have identified many risk loci associated with colorectal cancer, the molecular basis of these associations are still unclear. We aimed to infer biological insights and highlight candidate genes of interest within GWAS risk loci. We used an in silico pipeline based on functional annotation, quantitative trait loci mapping of cis-acting gene, PubMed text-mining, protein-protein interaction studies, genetic overlaps with cancer somatic mutations and knockout mouse phenotypes, and functional enrichment analysis to prioritize the candidate genes at the colorectal cancer risk loci. Based on these analyses, we observed that these genes were the targets of approved therapies for colorectal cancer, and suggested that drugs approved for other indications may be repurposed for the treatment of colorectal cancer. This study highlights the use of publicly available data as a cost effective solution to derive biological insights, and provides an empirical evidence that the molecular basis of colorectal cancer can provide important leads for the discovery of new drugs.

  19. Genome-wide association study of pancreatic cancer in Japanese population.

    Directory of Open Access Journals (Sweden)

    Siew-Kee Low

    Full Text Available Pancreatic cancer shows very poor prognosis and is the fifth leading cause of cancer death in Japan. Previous studies indicated some genetic factors contributing to the development and progression of pancreatic cancer; however, there are limited reports for common genetic variants to be associated with this disease, especially in the Asian population. We have conducted a genome-wide association study (GWAS using 991 invasive pancreatic ductal adenocarcinoma cases and 5,209 controls, and identified three loci showing significant association (P-value<5x10(-7 with susceptibility to pancreatic cancer. The SNPs that showed significant association carried estimated odds ratios of 1.29, 1.32, and 3.73 with 95% confidence intervals of 1.17-1.43, 1.19-1.47, and 2.24-6.21; P-value of 3.30x10(-7, 3.30x10(-7, and 4.41x10(-7; located on chromosomes 6p25.3, 12p11.21 and 7q36.2, respectively. These associated SNPs are located within linkage disequilibrium blocks containing genes that have been implicated some roles in the oncogenesis of pancreatic cancer.

  20. European American stratification in ovarian cancer case control data: the utility of genome-wide data for inferring ancestry.

    Directory of Open Access Journals (Sweden)

    Paola Raska

    Full Text Available We investigated the ability of several principal components analysis (PCA-based strategies to detect and control for population stratification using data from a multi-center study of epithelial ovarian cancer among women of European-American ethnicity. These include a correction based on an ancestry informative markers (AIMs panel designed to capture European ancestral variation and corrections utilizing un-thinned genome-wide SNP data; case-control samples were drawn from four geographically distinct North-American sites. The AIMs-only and genome-wide first principal components (PC1 both corresponded to the previously described North or Northwest-Southeast axis of European variation. We found that the genome-wide PCA captured this primary dimension of variation more precisely and identified additional axes of genome-wide variation of relevance to epithelial ovarian cancer. Associations evident between the genome-wide PCs and study site corroborate North American immigration history and suggest that undiscovered dimensions of variation lie within Northern Europe. The structure captured by the genome-wide PCA was also found within control individuals and did not reflect the case-control variation present in the data. The genome-wide PCA highlighted three regions of local LD, corresponding to the lactase (LCT gene on chromosome 2, the human leukocyte antigen system (HLA on chromosome 6 and to a common inversion polymorphism on chromosome 8. These features did not compromise the efficacy of PCs from this analysis for ancestry control. This study concludes that although AIMs panels are a cost-effective way of capturing population structure, genome-wide data should preferably be used when available.

  1. Pathway analysis for genome-wide association study of lung cancer in Han Chinese population.

    Directory of Open Access Journals (Sweden)

    Ruyang Zhang

    Full Text Available Genome-wide association studies (GWAS have identified a number of genetic variants associated with lung cancer risk. However, these loci explain only a small fraction of lung cancer hereditability and other variants with weak effect may be lost in the GWAS approach due to the stringent significance level after multiple comparison correction. In this study, in order to identify important pathways involving the lung carcinogenesis, we performed a two-stage pathway analysis in GWAS of lung cancer in Han Chinese using gene set enrichment analysis (GSEA method. Predefined pathways by BioCarta and KEGG databases were systematically evaluated on Nanjing study (Discovery stage: 1,473 cases and 1,962 controls and the suggestive pathways were further to be validated in Beijing study (Replication stage: 858 cases and 1,115 controls. We found that four pathways (achPathway, metPathway, At1rPathway and rac1Pathway were consistently significant in both studies and the P values for combined dataset were 0.012, 0.010, 0.022 and 0.005 respectively. These results were stable after sensitivity analysis based on gene definition and gene overlaps between pathways. These findings may provide new insights into the etiology of lung cancer.

  2. Genome-wide analysis of the homeobox C6 transcriptional network in prostate cancer.

    Science.gov (United States)

    McCabe, Colleen D; Spyropoulos, Demetri D; Martin, David; Moreno, Carlos S

    2008-03-15

    Homeobox transcription factors are developmentally regulated genes that play crucial roles in tissue patterning. Homeobox C6 (HOXC6) is overexpressed in prostate cancers and correlated with cancer progression, but the downstream targets of HOXC6 are largely unknown. We have performed genome-wide localization analysis to identify promoters bound by HOXC6 in prostate cancer cells. This analysis identified 468 reproducibly bound promoters whose associated genes are involved in functions such as cell proliferation and apoptosis. We have complemented these data with expression profiling of prostates from mice with homozygous disruption of the Hoxc6 gene to identify 31 direct regulatory target genes of HOXC6. We show that HOXC6 directly regulates expression of bone morphogenic protein 7, fibroblast growth factor receptor 2, insulin-like growth factor binding protein 3, and platelet-derived growth factor receptor alpha (PDGFRA) in prostate cells and indirectly influences the Notch and Wnt signaling pathways in vivo. We further show that inhibition of PDGFRA reduces proliferation of prostate cancer cells, and that overexpression of HOXC6 can overcome the effects of PDGFRA inhibition. HOXC6 regulates genes with both oncogenic and tumor suppressor activities as well as several genes such as CD44 that are important for prostate branching morphogenesis and metastasis to the bone microenvironment.

  3. Insights into pancreatic cancer etiology from pathway analysis of genome-wide association study data.

    Directory of Open Access Journals (Sweden)

    Peng Wei

    Full Text Available Pancreatic cancer is the fourth leading cause of cancer death in the U.S. and the etiology of this highly lethal disease has not been well defined. To identify genetic susceptibility factors for pancreatic cancer, we conducted pathway analysis of genome-wide association study (GWAS data in 3,141 pancreatic cancer patients and 3,367 controls with European ancestry.Using the gene set ridge regression in association studies (GRASS method, we analyzed 197 pathways identified from the Kyoto Encyclopedia of Genes and Genomes database. We used the logistic kernel machine (LKM test to identify major contributing genes to each pathway. We conducted functional enrichment analysis of the most significant genes (P<0.01 using the Database for Annotation, Visualization, and Integrated Discovery (DAVID.Two pathways were significantly associated with risk of pancreatic cancer after adjusting for multiple comparisons (P<0.00025 and in replication testing: neuroactive ligand-receptor interaction, (Ps<0.00002, and the olfactory transduction pathway (P = 0.0001. LKM test identified four genes that were significantly associated with risk of pancreatic cancer after Bonferroni correction (P<1×10(-5: ABO, HNF1A, OR13C4, and SHH. Functional enrichment analysis using DAVID consistently found the G protein-coupled receptor signaling pathway (including both neuroactive ligand-receptor interaction and olfactory transduction pathways to be the most significant pathway for pancreatic cancer risk in this study population.These novel findings provide new perspectives on genetic susceptibility to and molecular mechanisms of pancreatic cancer.

  4. A genome-wide association study identifies a new ovarian cancer susceptibility locus on 9p22.2

    DEFF Research Database (Denmark)

    Song, Honglin; Ramus, Susan J; Tyrer, Jonathan

    2009-01-01

    Epithelial ovarian cancer has a major heritable component, but the known susceptibility genes explain less than half the excess familial risk. We performed a genome-wide association study (GWAS) to identify common ovarian cancer susceptibility alleles. We evaluated 507,094 SNPs genotyped in 1,817...

  5. Genome-wide association study of subtype-specific epithelial ovarian cancer risk alleles using pooled DNA

    DEFF Research Database (Denmark)

    Earp, Madalene A; Kelemen, Linda E; Magliocco, Anthony M

    2014-01-01

    Epithelial ovarian cancer (EOC) is a heterogeneous cancer with both genetic and environmental risk factors. Variants influencing the risk of developing the less-common EOC subtypes have not been fully investigated. We performed a genome-wide association study (GWAS) of EOC according to subtype by...

  6. Genome-wide association study of coronary and aortic calcification in lung cancer screening CT

    Science.gov (United States)

    de Vos, Bob D.; van Setten, Jessica; de Jong, Pim A.; Mali, Willem P.; Oudkerk, Matthijs; Viergever, Max A.; Išgum, Ivana

    2016-03-01

    Arterial calcification has been related to cardiovascular disease (CVD) and osteoporosis. However, little is known about the role of genetics and exact pathways leading to arterial calcification and its relation to bone density changes indicating osteoporosis. In this study, we conducted a genome-wide association study of arterial calcification burden, followed by a look-up of known single nucleotide polymorphisms (SNPs) for coronary artery disease (CAD) and myocardial infarction (MI), and bone mineral density (BMD) to test for a shared genetic basis between the traits. The study included a subcohort of the Dutch-Belgian lung cancer screening trial comprised of 2,561 participants. Participants underwent baseline CT screening in one of two hospitals participating in the trial. Low-dose chest CT images were acquired without contrast enhancement and without ECG-synchronization. In these images coronary and aortic calcifications were identified automatically. Subsequently, the detected calcifications were quantified using coronary artery calcium Agatston and volume scores. Genotype data was available for these participants. A genome-wide association study was conducted on 10,220,814 SNPs using a linear regression model. To reduce multiple testing burden, known CAD/MI and BMD SNPs were specifically tested (45 SNPs from the CARDIoGRAMplusC4D consortium and 60 SNPS from the GEFOS consortium). No novel significant SNPs were found. Significant enrichment for CAD/MI SNPs was observed in testing Agatston and coronary artery calcium volume scores. Moreover, a significant enrichment of BMD SNPs was shown in aortic calcium volume scores. This may indicate genetic relation of BMD SNPs and arterial calcification burden.

  7. Genome-wide association analyses identify new susceptibility loci for oral cavity and pharyngeal cancer.

    Science.gov (United States)

    Lesseur, Corina; Diergaarde, Brenda; Olshan, Andrew F; Wünsch-Filho, Victor; Ness, Andrew R; Liu, Geoffrey; Lacko, Martin; Eluf-Neto, José; Franceschi, Silvia; Lagiou, Pagona; Macfarlane, Gary J; Richiardi, Lorenzo; Boccia, Stefania; Polesel, Jerry; Kjaerheim, Kristina; Zaridze, David; Johansson, Mattias; Menezes, Ana M; Curado, Maria Paula; Robinson, Max; Ahrens, Wolfgang; Canova, Cristina; Znaor, Ariana; Castellsagué, Xavier; Conway, David I; Holcátová, Ivana; Mates, Dana; Vilensky, Marta; Healy, Claire M; Szeszenia-Dąbrowska, Neonila; Fabiánová, Eleonóra; Lissowska, Jolanta; Grandis, Jennifer R; Weissler, Mark C; Tajara, Eloiza H; Nunes, Fabio D; de Carvalho, Marcos B; Thomas, Steve; Hung, Rayjean J; Peters, Wilbert H M; Herrero, Rolando; Cadoni, Gabriella; Bueno-de-Mesquita, H Bas; Steffen, Annika; Agudo, Antonio; Shangina, Oxana; Xiao, Xiangjun; Gaborieau, Valérie; Chabrier, Amélie; Anantharaman, Devasena; Boffetta, Paolo; Amos, Christopher I; McKay, James D; Brennan, Paul

    2016-12-01

    We conducted a genome-wide association study of oral cavity and pharyngeal cancer in 6,034 cases and 6,585 controls from Europe, North America and South America. We detected eight significantly associated loci (P < 5 × 10(-8)), seven of which are new for these cancer sites. Oral and pharyngeal cancers combined were associated with loci at 6p21.32 (rs3828805, HLA-DQB1), 10q26.13 (rs201982221, LHPP) and 11p15.4 (rs1453414, OR52N2-TRIM5). Oral cancer was associated with two new regions, 2p23.3 (rs6547741, GPN1) and 9q34.12 (rs928674, LAMC3), and with known cancer-related loci-9p21.3 (rs8181047, CDKN2B-AS1) and 5p15.33 (rs10462706, CLPTM1L). Oropharyngeal cancer associations were limited to the human leukocyte antigen (HLA) region, and classical HLA allele imputation showed a protective association with the class II haplotype HLA-DRB1*1301-HLA-DQA1*0103-HLA-DQB1*0603 (odds ratio (OR) = 0.59, P = 2.7 × 10(-9)). Stratified analyses on a subgroup of oropharyngeal cases with information available on human papillomavirus (HPV) status indicated that this association was considerably stronger in HPV-positive (OR = 0.23, P = 1.6 × 10(-6)) than in HPV-negative (OR = 0.75, P = 0.16) cancers.

  8. A genome-wide map of aberrantly expressed chromosomal islands in colorectal cancer

    Directory of Open Access Journals (Sweden)

    Castanos-Velez Esmeralda

    2006-09-01

    Full Text Available Abstract Background Cancer development is accompanied by genetic phenomena like deletion and amplification of chromosome parts or alterations of chromatin structure. It is expected that these mechanisms have a strong effect on regional gene expression. Results We investigated genome-wide gene expression in colorectal carcinoma (CRC and normal epithelial tissues from 25 patients using oligonucleotide arrays. This allowed us to identify 81 distinct chromosomal islands with aberrant gene expression. Of these, 38 islands show a gain in expression and 43 a loss of expression. In total, 7.892 genes (25.3% of all human genes are located in aberrantly expressed islands. Many chromosomal regions that are linked to hereditary colorectal cancer show deregulated expression. Also, many known tumor genes localize to chromosomal islands of misregulated expression in CRC. Conclusion An extensive comparison with published CGH data suggests that chromosomal regions known for frequent deletions in colon cancer tend to show reduced expression. In contrast, regions that are often amplified in colorectal tumors exhibit heterogeneous expression patterns: even show a decrease of mRNA expression. Because for several islands of deregulated expression chromosomal aberrations have never been observed, we speculate that additional mechanisms (like abnormal states of regional chromatin also have a substantial impact on the formation of co-expression islands in colorectal carcinoma.

  9. Genome-wide association study identifies new prostate cancer susceptibility loci

    Science.gov (United States)

    Schumacher, Fredrick R.; Berndt, Sonja I.; Siddiq, Afshan; Jacobs, Kevin B.; Wang, Zhaoming; Lindstrom, Sara; Stevens, Victoria L.; Chen, Constance; Mondul, Alison M.; Travis, Ruth C.; Stram, Daniel O.; Eeles, Rosalind A.; Easton, Douglas F.; Giles, Graham; Hopper, John L.; Neal, David E.; Hamdy, Freddie C.; Donovan, Jenny L.; Muir, Kenneth; Al Olama, Ali Amin; Kote-Jarai, Zsofia; Guy, Michelle; Severi, Gianluca; Grönberg, Henrik; Isaacs, William B.; Karlsson, Robert; Wiklund, Fredrik; Xu, Jianfeng; Allen, Naomi E.; Andriole, Gerald L.; Barricarte, Aurelio; Boeing, Heiner; Bas Bueno-de-Mesquita, H.; Crawford, E. David; Diver, W. Ryan; Gonzalez, Carlos A.; Gaziano, J. Michael; Giovannucci, Edward L.; Johansson, Mattias; Le Marchand, Loic; Ma, Jing; Sieri, Sabina; Stattin, Pär; Stampfer, Meir J.; Tjonneland, Anne; Vineis, Paolo; Virtamo, Jarmo; Vogel, Ulla; Weinstein, Stephanie J.; Yeager, Meredith; Thun, Michael J.; Kolonel, Laurence N.; Henderson, Brian E.; Albanes, Demetrius; Hayes, Richard B.; Spencer Feigelson, Heather; Riboli, Elio; Hunter, David J.; Chanock, Stephen J.; Haiman, Christopher A.; Kraft, Peter

    2011-01-01

    Prostate cancer (PrCa) is the most common non-skin cancer diagnosed among males in developed countries and the second leading cause of cancer mortality, yet little is known regarding its etiology and factors that influence clinical outcome. Genome-wide association studies (GWAS) of PrCa have identified at least 30 distinct loci associated with small differences in risk. We conducted a GWAS in 2782 advanced PrCa cases (Gleason grade ≥ 8 or tumor stage C/D) and 4458 controls with 571 243 single nucleotide polymorphisms (SNPs). Based on in silico replication of 4679 SNPs (Stage 1, P < 0.02) in two published GWAS with 7358 PrCa cases and 6732 controls, we identified a new susceptibility locus associated with overall PrCa risk at 2q37.3 (rs2292884, P= 4.3 × 10−8). We also confirmed a locus suggested by an earlier GWAS at 12q13 (rs902774, P= 8.6 × 10−9). The estimated per-allele odds ratios for these loci (1.14 for rs2292884 and 1.17 for rs902774) did not differ between advanced and non-advanced PrCa (case-only test for heterogeneity P= 0.72 and P= 0.61, respectively). Further studies will be needed to assess whether these or other loci are differentially associated with PrCa subtypes. PMID:21743057

  10. A multi-stage genome-wide association study of bladder cancer identifies multiple susceptibility loci

    Science.gov (United States)

    Rothman, Nathaniel; Garcia-Closas, Montserrat; Chatterjee, Nilanjan; Malats, Nuria; Wu, Xifeng; Figueroa, Jonine; Real, Francisco X; Van Den Berg, David; Matullo, Giuseppe; Baris, Dalsu; Thun, Michael; Kiemeney, Lambertus A; Vineis, Paolo; De Vivo, Immaculata; Albanes, Demetrius; Purdue, Mark P; Rafnar, Thorunn; Hildebrandt, Michelle A T; Kiltie, Anne E; Cussenot, Olivier; Golka, Klaus; Kumar, Rajiv; Taylor, Jack A; Mayordomo, Jose I; Jacobs, Kevin B; Kogevinas, Manolis; Hutchinson, Amy; Wang, Zhaoming; Fu, Yi-Ping; Prokunina-Olsson, Ludmila; Burdette, Laurie; Yeager, Meredith; Wheeler, William; Tardón, Adonina; Serra, Consol; Carrato, Alfredo; García-Closas, Reina; Lloreta, Josep; Johnson, Alison; Schwenn, Molly; Karagas, Margaret R; Schned, Alan; Andriole, Gerald; Grubb, Robert; Black, Amanda; Jacobs, Eric J; Diver, W Ryan; Gapstur, Susan M; Weinstein, Stephanie J; Virtamo, Jarmo; Cortessis, Victoria K; Gago-Dominguez, Manuela; Pike, Malcolm C; Stern, Mariana C; Yuan, Jian-Min; Hunter, David; McGrath, Monica; Dinney, Colin P; Czerniak, Bogdan; Chen, Meng; Yang, Hushan; Vermeulen, Sita H; Aben, Katja K; Witjes, J Alfred; Makkinje, Remco R; Sulem, Patrick; Besenbacher, Soren; Stefansson, Kari; Riboli, Elio; Brennan, Paul; Panico, Salvatore; Navarro, Carmen; Allen, Naomi E; Bueno-de-Mesquita, H Bas; Trichopoulos, Dimitrios; Caporaso, Neil; Landi, Maria Teresa; Canzian, Federico; Ljungberg, Borje; Tjonneland, Anne; Clavel-Chapelon, Francoise; Bishop, David T; Teo, Mark T W; Knowles, Margaret A; Guarrera, Simonetta; Polidoro, Silvia; Ricceri, Fulvio; Sacerdote, Carlotta; Allione, Alessandra; Cancel-Tassin, Geraldine; Selinski, Silvia; Hengstler, Jan G; Dietrich, Holger; Fletcher, Tony; Rudnai, Peter; Gurzau, Eugen; Koppova, Kvetoslava; Bolick, Sophia C E; Godfrey, Ashley; Xu, Zongli; Sanz-Velez, José I; García-Prats, María D; Sanchez, Manuel; Valdivia, Gabriel; Porru, Stefano; Benhamou, Simone; Hoover, Robert N; Fraumeni, Joseph F; Silverman, Debra T; Chanock, Stephen J

    2010-01-01

    We conducted a multi-stage, genome-wide association study (GWAS) of bladder cancer with a primary scan of 589,299 single nucleotide polymorphisms (SNPs) in 3,532 cases and 5,120 controls of European descent (5 studies) followed by a replication strategy, which included 8,381 cases and 48,275 controls (16 studies). In a combined analysis, we identified three new regions associated with bladder cancer on chromosomes 22q13.1, 19q12 and 2q37.1; rs1014971, (P=8×10−12) maps to a non-genic region of chromosome 22q13.1; rs8102137 (P=2×10−11) on 19q12 maps to CCNE1; and rs11892031 (P=1×10−7) maps to the UGT1A cluster on 2q37.1. We confirmed four previous GWAS associations on chromosomes 3q28, 4p16.3, 8q24.21 and 8q24.3, validated previous candidate associations for the GSTM1 deletion (P=4×10−11) and a tag SNP for NAT2 acetylation status (P=4×10−11), as well as demonstrated smoking interactions with both regions. Our findings on common variants associated with bladder cancer risk should provide new insights into mechanisms of carcinogenesis. PMID:20972438

  11. A comprehensive analysis of genome-wide association studies to identify prostate cancer susceptibility loci for the Romanian population.

    Science.gov (United States)

    Rădăvoi, George Daniel; Pricop, Cătălin; Jinga, Viorel; Mateş, Dana; Rădoi, Viorica Elena; Jinga, Mariana; Ursu, Radu Ioan; Bratu, Ovidiu Gabriel; Mischianu, Dan Liviu Dorel; Iordache, Paul

    2016-01-01

    The aim of this study is to examine a large dataset of single nucleotide polymorphism known to be associated with prostate cancer from previous genome-wide association studies and create a dataset of single nucleotide polymorphisms that can be used in replication studies for the Romanian population. This study will define a list of markers showing a significant association with this phenotype. We propose the results of this study as a starting point for any Romanian genome-wide association studies researching the genetic susceptibility for prostate cancer.

  12. Epidemiological studies of esophageal cancer in the era of genome-wide association studies

    Institute of Scientific and Technical Information of China (English)

    An-Hui; Wang; Yuan; Liu; Bo; Wang; Yi-Xuan; He; Ye-Xian; Fang; Yong-Ping; Yan

    2014-01-01

    Esophageal cancer(EC) caused about 395000 deaths in 2010. China has the most cases of EC and EC is the fourth leading cause of cancer death in China. Esophageal squamous cell carcinoma(ESCC) is the predominant histologic type(90%-95%), while the incidence of esophageal adenocarcinoma(EAC) remains extremely low in China. Traditional epidemiological studies have revealed that environmental carcinogens are risk factors for EC. Molecular epidemiological studies revealed that susceptibility to EC is influenced by both environmental and genetic risk factors. Of all the risk factors for EC, some are associated with the risk of ESCC and others with the risk of EAC. However, the details and mechanisms of risk factors involved in the process for EC are unclear. The advanced methods and techniques used in human genome studies bring a great opportunity for researchers to explore and identify the details of those risk factors or susceptibility genes involved inthe process of EC. Human genome epidemiology is a new branch of epidemiology, which leads the epidemiology study from the molecular epidemiology era to the era of genome wide association studies(GWAS). Here we review the epidemiological studies of EC(especially ESCC) in the era of GWAS, and provide an overview of the general risk factors and those genomic variants(genes, SNPs, miRNAs, proteins) involved in the process of ESCC.

  13. Genome-wide transcriptional effects of the anti-cancer agent camptothecin.

    Directory of Open Access Journals (Sweden)

    Artur Veloso

    Full Text Available The anti-cancer drug camptothecin inhibits replication and transcription by trapping DNA topoisomerase I (Top1 covalently to DNA in a "cleavable complex". To examine the effects of camptothecin on RNA synthesis genome-wide we used Bru-Seq and show that camptothecin treatment primarily affected transcription elongation. We also observed that camptothecin increased RNA reads past transcription termination sites as well as at enhancer elements. Following removal of camptothecin, transcription spread as a wave from the 5'-end of genes with no recovery of transcription apparent from RNA polymerases stalled in the body of genes. As a result, camptothecin preferentially inhibited the expression of large genes such as proto-oncogenes, and anti-apoptotic genes while smaller ribosomal protein genes, pro-apoptotic genes and p53 target genes showed relative higher expression. Cockayne syndrome group B fibroblasts (CS-B, which are defective in transcription-coupled repair (TCR, showed an RNA synthesis recovery profile similar to normal fibroblasts suggesting that TCR is not involved in the repair of or RNA synthesis recovery from transcription-blocking Top1 lesions. These findings of the effects of camptothecin on transcription have important implications for its anti-cancer activities and may aid in the design of improved combinatorial treatments involving Top1 poisons.

  14. Body mass index associated with genome-wide methylation in breast tissue.

    Science.gov (United States)

    Hair, Brionna Y; Xu, Zongli; Kirk, Erin L; Harlid, Sophia; Sandhu, Rupninder; Robinson, Whitney R; Wu, Michael C; Olshan, Andrew F; Conway, Kathleen; Taylor, Jack A; Troester, Melissa A

    2015-06-01

    Gene expression studies indicate that body mass index (BMI) is associated with molecular pathways involved in inflammation, insulin-like growth factor activation, and other carcinogenic processes in breast tissue. The goal of this study was to determine whether BMI is associated with gene methylation in breast tissue and to identify pathways that are commonly methylated in association with high BMI. Epigenome-wide methylation profiles were determined using the Illumina HumanMethylation450 BeadChip array in the non-diseased breast tissue of 81 women undergoing breast surgery between 2009 and 2013 at the University of North Carolina Hospitals. Multivariable, robust linear regression was performed to identify methylation sites associated with BMI at a false discovery rate q value breast tissue and may influence epigenetic pathways involved in inflammatory and other carcinogenic processes.

  15. Genome-wide association study yields variants at 20p12.2 that associate with urinary bladder cancer

    NARCIS (Netherlands)

    Rafnar, T.; Sulem, P.; Thorleifsson, G.; Vermeulen, S.; Helgason, H.; Saemundsdottir, J.; Gudjonsson, S.A.; Sigurdsson, A.; Stacey, S.N.; Gudmundsson, J.; Johannsdottir, H.; Alexiusdottir, K.; Petursdottir, V.; Nikulasson, S.; Geirsson, G.; Jonsson, T.; Aben, K.K.H.; Grotenhuis, A.J.; Verhaegh, G.W.C.T.; Dudek, A.M.D.; Witjes, J.A.; Heijden, A.G. van der; Vrieling, A.; Galesloot, T.E.; Juan, A. de; Panadero, A.; Rivera, F.; Hurst, C.; Bishop, D.T.; Sak, S.C.; Choudhury, A.; Teo, M.T.; Arici, C.; Carta, A.; Toninelli, E.; Verdier, P. de; Rudnai, P.; Gurzau, E; Koppova, K.; Keur, K.A. van der; Lurkin, I.; Goossens, M.; Kellen, E.; Guarrera, S.; Russo, A.; Critelli, R.; Sacerdote, C.; Vineis, P.; Krucker, C.; Zeegers, M.P.; Gerullis, H.; Ovsiannikov, D.; Volkert, F.; Hengstler, J.G.; Selinski, S.; Magnusson, O.T.; Masson, G.; Kong, A.; Gudbjartsson, D.; Lindblom, A.; Zwarthoff, E.; Porru, S.; Golka, K.; Buntinx, F.; Matullo, G.; Kumar, R.; Mayordomo, J.I.; Steineck, D.G.; Kiltie, A.E.; Jonsson, E.; Radvanyi, F.; Knowles, M.A.; Thorsteinsdottir, U.; Kiemeney, B.; Stefansson, K.

    2014-01-01

    Genome-wide association studies (GWAS) of urinary bladder cancer (UBC) have yielded common variants at 12 loci that associate with risk of the disease. We report here the results of a GWAS of UBC including 1670 UBC cases and 90 180 controls, followed by replication analysis in additional 5266 UBC ca

  16. European genome-wide association study identifies SLC14A1 as a new urinary bladder cancer susceptibility gene

    NARCIS (Netherlands)

    Rafnar, T.; Vermeulen, H.H.M.; Sulem, P.; Thorleifsson, G.; Aben, K.K.H.; Witjes, J.A.; Grotenhuis, A.J.; Verhaegh, G.W.C.T.; Hulsbergen- van de Kaa, C.A.; Besenbacher, S.; Gudbjartsson, D.; Stacey, S.N.; Gudmundsson, J.; Johannsdottir, H.; Bjarnason, H.; Zanon, C.; Helgadottir, H.; Jonasson, J.G.; Tryggvadottir, L.; Jonsson, E.; Geirsson, G.; Nikulasson, S.; Petursdottir, V.; Bishop, D.T.; Chung-Sak, S.; Choudhury, A.; Elliott, F.; Barrett, J.H.; Knowles, M.A.; Verdier, P. de; Ryk, C.; Lindblom, A.; Rudnai, P.; Gurzau, E.; Koppova, K.; Vineis, P.; Polidoro, S.; Guarrera, S.; Sacerdote, C.; Panadero, A.; Sanz-Velez, J.I.; Sanchez, M.; Valdivia, G.; Garcia-Prats, M.D.; Hengstler, J.G.; Selinski, S.; Gerullis, H.; Ovsiannikov, D.; Khezri, A.; Aminsharifi, A.; Malekzadeh, M.; Berg, L.H. van den; Ophoff, R.A.; Veldink, J.H.; Zeegers, M.P.; Kellen, E.; Fostinelli, J.; Andreoli, D.; Arici, C.; Porru, S.; Buntinx, F.; Ghaderi, A.; Golka, K.; Mayordomo, J.I.; Matullo, G.; Kumar, R.; Steineck, G.; Kiltie, A.E.; Kong, A.; Thorsteinsdottir, U.; Stefansson, K.; Kiemeney, L.A.L.M.

    2011-01-01

    Three genome-wide association studies in Europe and the USA have reported eight urinary bladder cancer (UBC) susceptibility loci. Using extended case and control series and 1000 Genomes imputations of 5 340 737 single-nucleotide polymorphisms (SNPs), we searched for additional loci in the European G

  17. A Genome-Wide Breast Cancer Scan in African Americans

    Science.gov (United States)

    2011-06-01

    Boggess, J.F., Basil , J., Blank, S.V., Friedman, E., Kaufman, B., Laitman, Y., Milgrom, R., Andrulis, I.L., Glendon, G., Ozcelik, H., Kirchhoff, T... Moore , L.E., Prokhortchouk, E., Wu, X., Kiemeney, L.A., Gaborieau, V., Jacobs, K.B., Chow, W.H., Zaridze, D., Matveev, V., Lubinski, J., Trubicka

  18. What Is Breast Cancer?

    Science.gov (United States)

    ... Research? Breast Cancer About Breast Cancer What Is Breast Cancer? Breast cancer starts when cells in the breast ... spread, see our section on Cancer Basics . Where breast cancer starts Breast cancers can start from different parts ...

  19. Constitutional mosaic genome-wide uniparental disomy due to diploidisation: an unusual cancer-predisposing mechanism.

    Science.gov (United States)

    Romanelli, Valeria; Nevado, Julián; Fraga, Mario; Trujillo, Alex Martín; Mori, Maria Ángeles; Fernández, Luis; Pérez de Nanclares, Guiomar; Martínez-Glez, Víctor; Pita, Guillermo; Meneses, Heloisa; Gracia, Ricardo; García-Miñaur, Sixto; García de Miguel, Purificación; Lecumberri, Beatriz; Rodríguez, José Ignacio; González Neira, Anna; Monk, David; Lapunzina, Pablo

    2011-03-01

    Molecular studies in a patient with Beckwith-Wiedemann syndrome phenotype who developed two different tumours revealed an unexpected observation of almost complete loss of heterozygosity of all chromosomes. It is shown, by means of numerous molecular methods, that the absence of maternal contribution in somatic cells is due to high-degree (∼ 85%) genome-wide paternal uniparental disomy (UPD). The observations indicate that the genome-wide UPD results from diploidisation, and have important implications for genetic counselling and tumour surveillance for the growing number of UPD associated imprinting disorders.

  20. Genome-wide assessment of the association of rare and common copy number variations to testicular germ cell cancer

    DEFF Research Database (Denmark)

    Edsgard, Stefan Daniel; Dalgaard, Marlene Danner; Weinhold, Nils;

    2013-01-01

    Testicular germ cell cancer (TGCC) is one of the most heritable forms of cancer. Previous genome-wide association studies have focused on single nucleotide polymorphisms, largely ignoring the influence of copy number variants (CNVs). Here we present a genome-wide study of CNV on a cohort of 212...... cases and 437 controls from Denmark, which was genotyped at ∼1.8 million markers, half of which were non-polymorphic copy number markers. No association of common variants were found, whereas analysis of rare variants (present in less than 1% of the samples) initially indicated a single gene...... of rare CNVs related to cell migration (false-discovery rate = 0.021, 1.8% of cases and 1.1% of controls). Dysregulation during migration of primordial germ cells has previously been suspected to be a part of TGCC development and this set of multiple rare variants may thereby have a minor contribution...

  1. Effects of environment, genetics and data analysis pitfalls in an esophageal cancer genome-wide association study.

    Directory of Open Access Journals (Sweden)

    Alexander Statnikov

    Full Text Available BACKGROUND: The development of new high-throughput genotyping technologies has allowed fast evaluation of single nucleotide polymorphisms (SNPs on a genome-wide scale. Several recent genome-wide association studies employing these technologies suggest that panels of SNPs can be a useful tool for predicting cancer susceptibility and discovery of potentially important new disease loci. METHODOLOGY/PRINCIPAL FINDINGS: In the present paper we undertake a careful examination of the relative significance of genetics, environmental factors, and biases of the data analysis protocol that was used in a previously published genome-wide association study. That prior study reported a nearly perfect discrimination of esophageal cancer patients and healthy controls on the basis of only genetic information. On the other hand, our results strongly suggest that SNPs in this dataset are not statistically linked to the phenotype, while several environmental factors and especially family history of esophageal cancer (a proxy to both environmental and genetic factors have only a modest association with the disease. CONCLUSIONS/SIGNIFICANCE: The main component of the previously claimed strong discriminatory signal is due to several data analysis pitfalls that in combination led to the strongly optimistic results. Such pitfalls are preventable and should be avoided in future studies since they create misleading conclusions and generate many false leads for subsequent research.

  2. Molecular profiling of indolent human prostate cancer:tackling technical challenges to achieve high-fidelity genome-wide data

    Institute of Scientific and Technical Information of China (English)

    Thomas A. Dunn; Helen L. Fedor; Angelo M. De Marzo; Jun Luo

    2012-01-01

    The contemporary problem of prostate cancer overtreatment can be partially attributed to the diagnosis of potentially indolent prostate cancers that pose low risk to aged men,and lack of sufficiently accurate risk stratification methods to reliably seek out men with indolent diseases.Since progressive acquisition and accumulation of genomic alterations,both genetic and epigenetic,is a defining feature of all human cancers at different stages of disease progression,it is hypothesized that RNA and DNA alterations characteristic of indolent prostate tumors may be different from those previously characterized in the setting of clinically significant prostate cancer.Approaches capable of detecting such alterations on a genome-wide level are the most promising.Such analysis may uncover molecular events defining early initiating stages along the natural history of prostate cancer progression,and ultimately lead to rational development of risk stratification methods for identification of men who can safely forego treatment.However,defining and characterizing indolent prostate cancer in a clinically relevant context remains a challenge,particularly when genome-wide approaches are employed to profile formalin-fixed paraffin-embedded (FFPE) tissue specimens.Here,we provide the conceptual basis underlying the importance of understanding indolent prostate cancer from molecular profiling studies,identify the key hurdles in sample acquisition and variables that affect molecular data derived from FFPE tissues,and highlight recent progresses in efforts to address these technical challenges.

  3. Evaluation of association of HNF1B variants with diverse cancers: collaborative analysis of data from 19 genome-wide association studies.

    Directory of Open Access Journals (Sweden)

    Katherine S Elliott

    Full Text Available Genome-wide association studies have found type 2 diabetes-associated variants in the HNF1B gene to exhibit reciprocal associations with prostate cancer risk. We aimed to identify whether these variants may have an effect on cancer risk in general versus a specific effect on prostate cancer only.In a collaborative analysis, we collected data from GWAS of cancer phenotypes for the frequently reported variants of HNF1B, rs4430796 and rs7501939, which are in linkage disequilibrium (r(2 = 0.76, HapMap CEU. Overall, the analysis included 16 datasets on rs4430796 with 19,640 cancer cases and 21,929 controls; and 21 datasets on rs7501939 with 26,923 cases and 49,085 controls. Malignancies other than prostate cancer included colorectal, breast, lung and pancreatic cancers, and melanoma. Meta-analysis showed large between-dataset heterogeneity that was driven by different effects in prostate cancer and other cancers. The per-T2D-risk-allele odds ratios (95% confidence intervals for rs4430796 were 0.79 (0.76, 0.83] per G allele for prostate cancer (p<10(-15 for both; and 1.03 (0.99, 1.07 for all other cancers. Similarly for rs7501939 the per-T2D-risk-allele odds ratios (95% confidence intervals were 0.80 (0.77, 0.83 per T allele for prostate cancer (p<10(-15 for both; and 1.00 (0.97, 1.04 for all other cancers. No malignancy other than prostate cancer had a nominally statistically significant association.The examined HNF1B variants have a highly specific effect on prostate cancer risk with no apparent association with any of the other studied cancer types.

  4. Pathway analysis of bladder cancer genome-wide association study identifies novel pathways involved in bladder cancer development

    Science.gov (United States)

    Chen, Meng; Rothman, Nathaniel; Ye, Yuanqing; Gu, Jian; Scheet, Paul A.; Huang, Maosheng; Chang, David W.; Dinney, Colin P.; Silverman, Debra T.; Figueroa, Jonine D.; Chanock, Stephen J.; Wu, Xifeng

    2016-01-01

    Genome-wide association studies (GWAS) are designed to identify individual regions associated with cancer risk, but only explain a small fraction of the inherited variability. Alternative approach analyzing genetic variants within biological pathways has been proposed to discover networks of susceptibility genes with additional effects. The gene set enrichment analysis (GSEA) may complement and expand traditional GWAS analysis to identify novel genes and pathways associated with bladder cancer risk. We selected three GSEA methods: Gen-Gen, Aligator, and the SNP Ratio Test to evaluate cellular signaling pathways involved in bladder cancer susceptibility in a Texas GWAS population. The candidate genetic polymorphisms from the significant pathway selected by GSEA were validated in an independent NCI GWAS. We identified 18 novel pathways (P < 0.05) significantly associated with bladder cancer risk. Five of the most promising pathways (P ≤ 0.001 in any of the three GSEA methods) among the 18 pathways included two cell cycle pathways and neural cell adhesion molecule (NCAM), platelet-derived growth factor (PDGF), and unfolded protein response pathways. We validated the candidate polymorphisms in the NCI GWAS and found variants of RAPGEF1, SKP1, HERPUD1, CACNB2, CACNA1C, CACNA1S, COL4A2, SRC, and CACNA1C were associated with bladder cancer risk. Two CCNE1 variants, rs8102137 and rs997669, from cell cycle pathways showed the strongest associations; the CCNE1 signal at 19q12 has already been reported in previous GWAS. These findings offer additional etiologic insights highlighting the specific genes and pathways associated with bladder cancer development. GSEA may be a complementary tool to GWAS to identify additional loci of cancer susceptibility.

  5. Epsin Family Member 3 and Ribosome-Related Genes Are Associated with Late Metastasis in Estrogen Receptor-Positive Breast Cancer and Long-Term Survival in Non-Small Cell Lung Cancer Using a Genome-Wide Identification and Validation Strategy

    Science.gov (United States)

    Edlund, Karolina; Marchan, Rosemarie; Cadenas, Cristina; Heimes, Anne-Sophie; Almstedt, Katrin; Lebrecht, Antje; Sicking, Isabel; Battista, Marco J.; Micke, Patrick; Schmidt, Marcus; Hengstler, Jan G.; Rahnenführer, Jörg

    2016-01-01

    Background In breast cancer, gene signatures that predict the risk of metastasis after surgical tumor resection are mainly indicative of early events. The purpose of this study was to identify genes linked to metastatic recurrence more than three years after surgery. Methods Affymetrix HG U133A and Plus 2.0 array datasets with information on metastasis-free, disease-free or overall survival were accessed via public repositories. Time restricted Cox regression models were used to identify genes associated with metastasis during or after the first three years post-surgery (early- and late-type genes). A sequential validation study design, with two non-adjuvantly treated discovery cohorts (n = 409) and one validation cohort (n = 169) was applied and identified genes were further evaluated in tamoxifen-treated breast cancer patients (n = 923), as well as in patients with non-small cell lung (n = 1779), colon (n = 893) and ovarian (n = 922) cancer. Results Ten late- and 243 early-type genes were identified in adjuvantly untreated breast cancer. Adjustment to clinicopathological factors and an established proliferation-related signature markedly reduced the number of early-type genes to 16, whereas nine late-type genes still remained significant. These nine genes were associated with metastasis-free survival (MFS) also in a non-time restricted model, but not in the early period alone, stressing that their prognostic impact was primarily based on MFS more than three years after surgery. Four of the ten late-type genes, the ribosome-related factors EIF4B, RPL5, RPL3, and the tumor angiogenesis modifier EPN3 were significantly associated with MFS in the late period also in a meta-analysis of tamoxifen-treated breast cancer cohorts. In contrast, only one late-type gene (EPN3) showed consistent survival associations in more than one cohort in the other cancer types, being associated with worse outcome in two non-small cell lung cancer cohorts. No late-type gene was validated

  6. Breast Cancer Overview

    Science.gov (United States)

    ... Cancer > Breast Cancer > Breast Cancer: Overview Request Permissions Breast Cancer: Overview Approved by the Cancer.Net Editorial Board , ... bean-shaped organs that help fight infection. About breast cancer Cancer begins when healthy cells in the breast ...

  7. Breast Cancer

    Science.gov (United States)

    Breast cancer affects one in eight women during their lives. No one knows why some women get breast cancer, but there are many risk factors. Risks that ... who have family members with breast or ovarian cancer may wish to be tested for the genes. ...

  8. Surgery for Breast Cancer

    Science.gov (United States)

    ... Cancer During Pregnancy Breast Cancer Breast Cancer Treatment Surgery for Breast Cancer Surgery is a common treatment ... removed (breast reconstruction) Relieve symptoms of advanced cancer Surgery to remove breast cancer There are two main ...

  9. Genome-wide association study yields variants at 20p12.2 that associate with urinary bladder cancer.

    Science.gov (United States)

    Rafnar, Thorunn; Sulem, Patrick; Thorleifsson, Gudmar; Vermeulen, Sita H; Helgason, Hannes; Saemundsdottir, Jona; Gudjonsson, Sigurjon A; Sigurdsson, Asgeir; Stacey, Simon N; Gudmundsson, Julius; Johannsdottir, Hrefna; Alexiusdottir, Kristin; Petursdottir, Vigdis; Nikulasson, Sigfus; Geirsson, Gudmundur; Jonsson, Thorvaldur; Aben, Katja K H; Grotenhuis, Anne J; Verhaegh, Gerald W; Dudek, Aleksandra M; Witjes, J Alfred; van der Heijden, Antoine G; Vrieling, Alina; Galesloot, Tessel E; De Juan, Ana; Panadero, Angeles; Rivera, Fernando; Hurst, Carolyn; Bishop, D Timothy; Sak, Sei C; Choudhury, Ananya; Teo, Mark T W; Arici, Cecilia; Carta, Angela; Toninelli, Elena; de Verdier, Petra; Rudnai, Peter; Gurzau, Eugene; Koppova, Kvetoslava; van der Keur, Kirstin A; Lurkin, Irene; Goossens, Mieke; Kellen, Eliane; Guarrera, Simonetta; Russo, Alessia; Critelli, Rossana; Sacerdote, Carlotta; Vineis, Paolo; Krucker, Clémentine; Zeegers, Maurice P; Gerullis, Holger; Ovsiannikov, Daniel; Volkert, Frank; Hengstler, Jan G; Selinski, Silvia; Magnusson, Olafur T; Masson, Gisli; Kong, Augustine; Gudbjartsson, Daniel; Lindblom, Annika; Zwarthoff, Ellen; Porru, Stefano; Golka, Klaus; Buntinx, Frank; Matullo, Giuseppe; Kumar, Rajiv; Mayordomo, José I; Steineck, D Gunnar; Kiltie, Anne E; Jonsson, Eirikur; Radvanyi, François; Knowles, Margaret A; Thorsteinsdottir, Unnur; Kiemeney, Lambertus A; Stefansson, Kari

    2014-10-15

    Genome-wide association studies (GWAS) of urinary bladder cancer (UBC) have yielded common variants at 12 loci that associate with risk of the disease. We report here the results of a GWAS of UBC including 1670 UBC cases and 90 180 controls, followed by replication analysis in additional 5266 UBC cases and 10 456 controls. We tested a dataset containing 34.2 million variants, generated by imputation based on whole-genome sequencing of 2230 Icelanders. Several correlated variants at 20p12, represented by rs62185668, show genome-wide significant association with UBC after combining discovery and replication results (OR = 1.19, P = 1.5 × 10(-11) for rs62185668-A, minor allele frequency = 23.6%). The variants are located in a non-coding region approximately 300 kb upstream from the JAG1 gene, an important component of the Notch signaling pathways that may be oncogenic or tumor suppressive in several forms of cancer. Our results add to the growing number of UBC risk variants discovered through GWAS.

  10. Genome-wide Investigation of multifocal and unifocal prostate cancer-are they Genetically different?

    NARCIS (Netherlands)

    C. Ibeawuchi (Chinyere); H. Schmidt (Hartmut); R. Voss (Reinhard); A. Titze (Anja); M. Abbas (Mahmoud); J. Neumann (Joerg); E. Eltze (Elke); A.M. Hoogland (Marije); G.W. Jenster (Guido); B. Brandt (Burkhard); A. Semjonow (Axel)

    2013-01-01

    textabstractProstate cancer is widely observed to be biologically heterogeneous. Its heterogeneity is manifested histologically as multifocal prostate cancer, which is observed more frequently than unifocal prostate cancer. The clinical and prognostic significance of either focal cancer type is not

  11. Genome-wide interrogation identifies YAP1 variants associated with survival of small-cell lung cancer patients.

    Science.gov (United States)

    Wu, Chen; Xu, Binghe; Yuan, Peng; Miao, Xiaoping; Liu, Yu; Guan, Yin; Yu, Dianke; Xu, Jian; Zhang, Tongwen; Shen, Hongbing; Wu, Tangchun; Lin, Dongxin

    2010-12-01

    Although most patients with small-cell lung cancer respond to chemotherapy, the survival time is highly diverse. We conducted a genome-wide analysis to examine whether germline genetic variations are prognostic factors in small-cell lung cancer patients treated with the same chemotherapy regimen. Genome-wide scan of single nucleotide polymorphisms (SNP) was performed using blood DNA to identify genotypes associated with overall survival in 245 patients treated with platinum-based chemotherapy, and the results were replicated in another independent set of 305 patients. Associations were estimated by Cox models and function of the variants was examined by biochemical assays. We found that rs1820453 T>G SNP within the promoter region of YAP1 on chromosome 11q22 and rs716274 A>G SNP in the region of downstream of DYNC2H1 on chromosome 11q22.3 are associated with small-cell lung cancer survival. In pooled analysis of 2 independent cohorts, the adjusted hazard ratio for patients with the rs1820453 TG or GG genotype was 1.49 (95% CI, 1.19-1.85; P = 0.0004) and 1.65 (95% CI, 1.36-2.01; P = 4.76 × 10(-7)), respectively, compared with the TT genotype; and for patients with the rs716274 AG or GG genotype was 1.83 (95% CI, 1.47-2.29; P = 8.74 × 10(-8)) and 2.96 (95% CI, 1.90-4.62; P = 1.59 × 10(-6)), respectively, compared with the AA genotype. Functional analysis showed that the rs1820453 T>G change creates a transcriptional factor binding site and results in downregulation of YAP1 expression. These results suggest that YAP1 may play an important role in prognosis of small-cell lung cancer patients treated with platinum-based chemotherapy.

  12. Seven prostate cancer susceptibility loci identified by a multi-stage genome-wide association study

    DEFF Research Database (Denmark)

    Kote-Jarai, Zsofia; Olama, Ali Amin Al; Giles, Graham G;

    2011-01-01

    of stage 3, in which we evaluated 1,536 SNPs in 4,574 individuals with prostate cancer (cases) and 4,164 controls. We followed up ten new association signals through genotyping in 51,311 samples in 30 studies from the Prostate Cancer Association Group to Investigate Cancer Associated Alterations...

  13. Genome-wide association study of prostate-specific antigen levels identifies novel loci independent of prostate cancer

    Science.gov (United States)

    Hoffmann, Thomas J.; Passarelli, Michael N.; Graff, Rebecca E.; Emami, Nima C.; Sakoda, Lori C.; Jorgenson, Eric; Habel, Laurel A.; Shan, Jun; Ranatunga, Dilrini K.; Quesenberry, Charles P.; Chao, Chun R.; Ghai, Nirupa R.; Aaronson, David; Presti, Joseph; Nordström, Tobias; Wang, Zhaoming; Berndt, Sonja I.; Chanock, Stephen J.; Mosley, Jonathan D.; Klein, Robert J.; Middha, Mridu; Lilja, Hans; Melander, Olle; Kvale, Mark N.; Kwok, Pui-Yan; Schaefer, Catherine; Risch, Neil; Van Den Eeden, Stephen K.; Witte, John S.

    2017-01-01

    Prostate-specific antigen (PSA) levels have been used for detection and surveillance of prostate cancer (PCa). However, factors other than PCa—such as genetics—can impact PSA. Here we present findings from a genome-wide association study (GWAS) of PSA in 28,503 Kaiser Permanente whites and 17,428 men from replication cohorts. We detect 40 genome-wide significant (P<5 × 10−8) single-nucleotide polymorphisms (SNPs): 19 novel, 15 previously identified for PSA (14 of which were also PCa-associated), and 6 previously identified for PCa only. Further analysis incorporating PCa cases suggests that at least half of the 40 SNPs are PSA-associated independent of PCa. The 40 SNPs explain 9.5% of PSA variation in non-Hispanic whites, and the remaining GWAS SNPs explain an additional 31.7%; this percentage is higher in younger men, supporting the genetic basis of PSA levels. These findings provide important information about genetic markers for PSA that may improve PCa screening, thereby reducing over-diagnosis and over-treatment. PMID:28139693

  14. European genome-wide association study identifies SLC14A1 as a new urinary bladder cancer susceptibility gene.

    Science.gov (United States)

    Rafnar, Thorunn; Vermeulen, Sita H; Sulem, Patrick; Thorleifsson, Gudmar; Aben, Katja K; Witjes, J Alfred; Grotenhuis, Anne J; Verhaegh, Gerald W; Hulsbergen-van de Kaa, Christina A; Besenbacher, Soren; Gudbjartsson, Daniel; Stacey, Simon N; Gudmundsson, Julius; Johannsdottir, Hrefna; Bjarnason, Hjordis; Zanon, Carlo; Helgadottir, Hafdis; Jonasson, Jon Gunnlaugur; Tryggvadottir, Laufey; Jonsson, Eirikur; Geirsson, Gudmundur; Nikulasson, Sigfus; Petursdottir, Vigdis; Bishop, D Timothy; Chung-Sak, Sei; Choudhury, Ananya; Elliott, Faye; Barrett, Jennifer H; Knowles, Margaret A; de Verdier, Petra J; Ryk, Charlotta; Lindblom, Annika; Rudnai, Peter; Gurzau, Eugene; Koppova, Kvetoslava; Vineis, Paolo; Polidoro, Silvia; Guarrera, Simonetta; Sacerdote, Carlotta; Panadero, Angeles; Sanz-Velez, José I; Sanchez, Manuel; Valdivia, Gabriel; Garcia-Prats, Maria D; Hengstler, Jan G; Selinski, Silvia; Gerullis, Holger; Ovsiannikov, Daniel; Khezri, Abdolaziz; Aminsharifi, Alireza; Malekzadeh, Mahyar; van den Berg, Leonard H; Ophoff, Roel A; Veldink, Jan H; Zeegers, Maurice P; Kellen, Eliane; Fostinelli, Jacopo; Andreoli, Daniele; Arici, Cecilia; Porru, Stefano; Buntinx, Frank; Ghaderi, Abbas; Golka, Klaus; Mayordomo, José I; Matullo, Giuseppe; Kumar, Rajiv; Steineck, Gunnar; Kiltie, Anne E; Kong, Augustine; Thorsteinsdottir, Unnur; Stefansson, Kari; Kiemeney, Lambertus A

    2011-11-01

    Three genome-wide association studies in Europe and the USA have reported eight urinary bladder cancer (UBC) susceptibility loci. Using extended case and control series and 1000 Genomes imputations of 5 340 737 single-nucleotide polymorphisms (SNPs), we searched for additional loci in the European GWAS. The discovery sample set consisted of 1631 cases and 3822 controls from the Netherlands and 603 cases and 37 781 controls from Iceland. For follow-up, we used 3790 cases and 7507 controls from 13 sample sets of European and Iranian ancestry. Based on the discovery analysis, we followed up signals in the urea transporter (UT) gene SLC14A. The strongest signal at this locus was represented by a SNP in intron 3, rs17674580, that reached genome-wide significance in the overall analysis of the discovery and follow-up groups: odds ratio = 1.17, P = 7.6 × 10(-11). SLC14A1 codes for UTs that define the Kidd blood group and are crucial for the maintenance of a constant urea concentration gradient in the renal medulla and, through this, the kidney's ability to concentrate urine. It is speculated that rs17674580, or other sequence variants in LD with it, indirectly modifies UBC risk by affecting urine production. If confirmed, this would support the 'urogenous contact hypothesis' that urine production and voiding frequency modify the risk of UBC.

  15. Genome-wide association studies in aging-related processes such as diabetes mellitus, atherosclerosis and cancer.

    Science.gov (United States)

    Kronenberg, Florian

    2008-01-01

    Recent technological developments allow to genotype several hundreds of thousands of genetic variants in a single person in one step. This enables genome-wide association studies (GWAS) by genotyping a large number of patients with diseases of interest and controls at reasonable costs. Compared to a hypothesis-driven candidate gene approach the hypothesis-free GWAS can identify new susceptibility genes without making any a priori biological assumptions. They permit to identify genes involved in pathways which until now were unknown to be involved in a certain phenotype. GWAS are therefore a new and very powerful tool to identify genetic contributors to aging-related phenotypes. This paper provides a short overview about design and methods of GWAS and reviews recent advances in the identification of susceptibility genes for type 2 diabetes mellitus, atherosclerosis and cancer using GWAS.

  16. NMD Microarray Analysis for Rapid Genome-Wide Screen of Mutated Genes in Cancer

    Directory of Open Access Journals (Sweden)

    Maija Wolf

    2005-01-01

    Full Text Available Gene mutations play a critical role in cancer development and progression, and their identification offers possibilities for accurate diagnostics and therapeutic targeting. Finding genes undergoing mutations is challenging and slow, even in the post-genomic era. A new approach was recently developed by Noensie and Dietz to prioritize and focus the search, making use of nonsense-mediated mRNA decay (NMD inhibition and microarray analysis (NMD microarrays in the identification of transcripts containing nonsense mutations. We combined NMD microarrays with array-based CGH (comparative genomic hybridization in order to identify inactivation of tumor suppressor genes in cancer. Such a “mutatomics” screening of prostate cancer cell lines led to the identification of inactivating mutations in the EPHB2 gene. Up to 8% of metastatic uncultured prostate cancers also showed mutations of this gene whose loss of function may confer loss of tissue architecture. NMD microarray analysis could turn out to be a powerful research method to identify novel mutated genes in cancer cell lines, providing targets that could then be further investigated for their clinical relevance and therapeutic potential.

  17. Genome-wide Analysis Identifies Novel Loci Associated with Ovarian Cancer Outcomes

    DEFF Research Database (Denmark)

    Johnatty, Sharon E; Tyrer, Jonathan P; Kar, Siddhartha;

    2015-01-01

    PURPOSE: Chemotherapy resistance remains a major challenge in the treatment of ovarian cancer. We hypothesize that germline polymorphisms might be associated with clinical outcome. EXPERIMENTAL DESIGN: We analyzed approximately 2.8 million genotyped and imputed SNPs from the iCOGS experiment...... for progression-free survival (PFS) and overall survival (OS) in 2,901 European epithelial ovarian cancer (EOC) patients who underwent first-line treatment of cytoreductive surgery and chemotherapy regardless of regimen, and in a subset of 1,098 patients treated with ≥ 4 cycles of paclitaxel and carboplatin...... at standard doses. We evaluated the top SNPs in 4,434 EOC patients, including patients from The Cancer Genome Atlas. In addition, we conducted pathway analysis of all intragenic SNPs and tested their association with PFS and OS using gene set enrichment analysis. RESULTS: Five SNPs were significantly...

  18. Genome-wide diet-gene interaction analyses for risk of colorectal cancer.

    Science.gov (United States)

    Figueiredo, Jane C; Hsu, Li; Hutter, Carolyn M; Lin, Yi; Campbell, Peter T; Baron, John A; Berndt, Sonja I; Jiao, Shuo; Casey, Graham; Fortini, Barbara; Chan, Andrew T; Cotterchio, Michelle; Lemire, Mathieu; Gallinger, Steven; Harrison, Tabitha A; Le Marchand, Loic; Newcomb, Polly A; Slattery, Martha L; Caan, Bette J; Carlson, Christopher S; Zanke, Brent W; Rosse, Stephanie A; Brenner, Hermann; Giovannucci, Edward L; Wu, Kana; Chang-Claude, Jenny; Chanock, Stephen J; Curtis, Keith R; Duggan, David; Gong, Jian; Haile, Robert W; Hayes, Richard B; Hoffmeister, Michael; Hopper, John L; Jenkins, Mark A; Kolonel, Laurence N; Qu, Conghui; Rudolph, Anja; Schoen, Robert E; Schumacher, Fredrick R; Seminara, Daniela; Stelling, Deanna L; Thibodeau, Stephen N; Thornquist, Mark; Warnick, Greg S; Henderson, Brian E; Ulrich, Cornelia M; Gauderman, W James; Potter, John D; White, Emily; Peters, Ulrike

    2014-04-01

    Dietary factors, including meat, fruits, vegetables and fiber, are associated with colorectal cancer; however, there is limited information as to whether these dietary factors interact with genetic variants to modify risk of colorectal cancer. We tested interactions between these dietary factors and approximately 2.7 million genetic variants for colorectal cancer risk among 9,287 cases and 9,117 controls from ten studies. We used logistic regression to investigate multiplicative gene-diet interactions, as well as our recently developed Cocktail method that involves a screening step based on marginal associations and gene-diet correlations and a testing step for multiplicative interactions, while correcting for multiple testing using weighted hypothesis testing. Per quartile increment in the intake of red and processed meat were associated with statistically significant increased risks of colorectal cancer and vegetable, fruit and fiber intake with lower risks. From the case-control analysis, we detected a significant interaction between rs4143094 (10p14/near GATA3) and processed meat consumption (OR = 1.17; p = 8.7E-09), which was consistently observed across studies (p heterogeneity = 0.78). The risk of colorectal cancer associated with processed meat was increased among individuals with the rs4143094-TG and -TT genotypes (OR = 1.20 and OR = 1.39, respectively) and null among those with the GG genotype (OR = 1.03). Our results identify a novel gene-diet interaction with processed meat for colorectal cancer, highlighting that diet may modify the effect of genetic variants on disease risk, which may have important implications for prevention.

  19. Genome-wide diet-gene interaction analyses for risk of colorectal cancer.

    Directory of Open Access Journals (Sweden)

    Jane C Figueiredo

    2014-04-01

    Full Text Available Dietary factors, including meat, fruits, vegetables and fiber, are associated with colorectal cancer; however, there is limited information as to whether these dietary factors interact with genetic variants to modify risk of colorectal cancer. We tested interactions between these dietary factors and approximately 2.7 million genetic variants for colorectal cancer risk among 9,287 cases and 9,117 controls from ten studies. We used logistic regression to investigate multiplicative gene-diet interactions, as well as our recently developed Cocktail method that involves a screening step based on marginal associations and gene-diet correlations and a testing step for multiplicative interactions, while correcting for multiple testing using weighted hypothesis testing. Per quartile increment in the intake of red and processed meat were associated with statistically significant increased risks of colorectal cancer and vegetable, fruit and fiber intake with lower risks. From the case-control analysis, we detected a significant interaction between rs4143094 (10p14/near GATA3 and processed meat consumption (OR = 1.17; p = 8.7E-09, which was consistently observed across studies (p heterogeneity = 0.78. The risk of colorectal cancer associated with processed meat was increased among individuals with the rs4143094-TG and -TT genotypes (OR = 1.20 and OR = 1.39, respectively and null among those with the GG genotype (OR = 1.03. Our results identify a novel gene-diet interaction with processed meat for colorectal cancer, highlighting that diet may modify the effect of genetic variants on disease risk, which may have important implications for prevention.

  20. Breast cancer screening

    Science.gov (United States)

    Mammogram - breast cancer screening; Breast exam - breast cancer screening; MRI - breast cancer screening ... performed to screen women to detect early breast cancer when it is more likely to be cured. ...

  1. Genome-wide analysis in human colorectal cancer cells reveals ischemia-mediated expression of motility genes via DNA hypomethylation.

    Science.gov (United States)

    Skowronski, Karolina; Skowronki, Karolina; Andrews, Joseph; Rodenhiser, David I; Coomber, Brenda L

    2014-01-01

    DNA hypomethylation is an important epigenetic modification found to occur in many different cancer types, leading to the upregulation of previously silenced genes and loss of genomic stability. We previously demonstrated that hypoxia and hypoglycaemia (ischemia), two common micro-environmental changes in solid tumours, decrease DNA methylation through the downregulation of DNMTs in human colorectal cancer cells. Here, we utilized a genome-wide cross-platform approach to identify genes hypomethylated and upregulated by ischemia. Following exposure to hypoxia or hypoglycaemia, methylated DNA from human colorectal cancer cells (HCT116) was immunoprecipitated and analysed with an Affymetrix promoter array. Additionally, RNA was isolated and analysed in parallel with an Affymetrix expression array. Ingenuity pathway analysis software revealed that a significant proportion of the genes hypomethylated and upregulated were involved in cellular movement, including PLAUR and CYR61. A Matrigel invasion assay revealed that indeed HCT116 cells grown in hypoxic or hypoglycaemic conditions have increased mobility capabilities. Confirmation of upregulated expression of cellular movement genes was performed with qPCR. The correlation between ischemia and metastasis is well established in cancer progression, but the molecular mechanisms responsible for this common observation have not been clearly identified. Our novel data suggests that hypoxia and hypoglycaemia may be driving changes in DNA methylation through downregulation of DNMTs. This is the first report to our knowledge that provides an explanation for the increased metastatic potential seen in ischemic cells; i.e. that ischemia could be driving DNA hypomethylation and increasing expression of cellular movement genes.

  2. Genome-wide association study identifies variants in the ABO locus associated with susceptibility to pancreatic cancer

    Science.gov (United States)

    Amundadottir, Laufey; Kraft, Peter; Stolzenberg-Solomon, Rachael Z.; Fuchs, Charles S.; Petersen, Gloria M.; Arslan, Alan A.; Bueno-de-Mesquita, H. Bas; Gross, Myron; Helzlsouer, Kathy; Jacobs, Eric J.; LaCroix, Andrea; Zheng, Wei; Albanes, Demetrius; Bamlet, William; Berg, Christine D.; Berrino, Franco; Bingham, Sheila; Buring, Julie E.; Bracci, Paige M.; Canzian, Federico; Clavel-Chapelon, Françoise; Clipp, Sandra; Cotterchio, Michelle; de Andrade, Mariza; Duell, Eric J.; Fox, John W.; Gallinger, Steven; Gaziano, J. Michael; Giovannucci, Edward L.; Goggins, Michael; González, Carlos A.; Hallmans, Göran; Hankinson, Susan E.; Hassan, Manal; Holly, Elizabeth A.; Hunter, David J.; Hutchinson, Amy; Jackson, Rebecca; Jacobs, Kevin B.; Jenab, Mazda; Kaaks, Rudolf; Klein, Alison P.; Kooperberg, Charles; Kurtz, Robert C.; Li, Donghui; Lynch, Shannon M.; Mandelson, Margaret; McWilliams, Robert R.; Mendelsohn, Julie B.; Michaud, Dominique S.; Olson, Sara H.; Overvad, Kim; Patel, Alpa V.; Peeters, Petra H.M.; Rajkovic, Aleksandar; Riboli, Elio; Risch, Harvey A.; Shu, Xiao-Ou; Thomas, Gilles; Tobias, Geoffrey S.; Trichopoulos, Dimitrios; Van Den Eeden, Stephen K.; Virtamo, Jarmo; Wactawski-Wende, Jean; Wolpin, Brian M.; Yu, Herbert; Yu, Kai; Zeleniuch-Jacquotte, Anne; Chanock, Stephen J.; Hartge, Patricia; Hoover, Robert N.

    2010-01-01

    We conducted a two-stage genome-wide association study (GWAS) of pancreatic cancer, a cancer with one of the poorest survival rates worldwide. Initially, we genotyped 558,542 single nucleotide polymorphisms in 1,896 incident cases and 1,939 controls drawn from twelve prospective cohorts plus one hospital-based case-control study. In a combined analysis adjusted for study, sex, ancestry and five principal components that included an additional 2,457 cases and 2,654 controls from eight case-control studies, we identified an association between a locus on 9q34 and pancreatic cancer marked by the single nucleotide polymorphism, rs505922 (combined P=5.37 × 10-8; multiplicative per-allele odds ratio (OR) 1.20; 95% CI 1.12-1.28). This SNP maps to the first intron of the ABO blood group gene. Our results are consistent with earlier epidemiologic evidence suggesting that people with blood group O may have a lower risk of pancreatic cancer than those with groups A or B. PMID:19648918

  3. Pathway analysis of genome-wide association study data highlights pancreatic development genes as susceptibility factors for pancreatic cancer

    Science.gov (United States)

    Duell, Eric J.; Yu, Kai; Risch, Harvey A.; Olson, Sara H.; Kooperberg, Charles; Wolpin, Brian M.; Jiao, Li; Dong, Xiaoqun; Wheeler, Bill; Arslan, Alan A.; Bueno-de-Mesquita, H. Bas; Fuchs, Charles S.; Gallinger, Steven; Gross, Myron; Hartge, Patricia; Hoover, Robert N.; Holly, Elizabeth A.; Jacobs, Eric J.; Klein, Alison P.; LaCroix, Andrea; Mandelson, Margaret T.; Petersen, Gloria; Zheng, Wei; Agalliu, Ilir; Albanes, Demetrius; Boutron-Ruault, Marie-Christine; Bracci, Paige M.; Buring, Julie E.; Canzian, Federico; Chang, Kenneth; Chanock, Stephen J.; Cotterchio, Michelle; Gaziano, J.Michael; Giovannucci, Edward L.; Goggins, Michael; Hallmans, Göran; Hankinson, Susan E.; Hoffman Bolton, Judith A.; Hunter, David J.; Hutchinson, Amy; Jacobs, Kevin B.; Jenab, Mazda; Khaw, Kay-Tee; Kraft, Peter; Krogh, Vittorio; Kurtz, Robert C.; McWilliams, Robert R.; Mendelsohn, Julie B.; Patel, Alpa V.; Rabe, Kari G.; Riboli, Elio; Shu, Xiao-Ou; Tjønneland, Anne; Tobias, Geoffrey S.; Trichopoulos, Dimitrios; Virtamo, Jarmo; Visvanathan, Kala; Watters, Joanne; Yu, Herbert; Zeleniuch-Jacquotte, Anne; Stolzenberg-Solomon, Rachael Z.

    2012-01-01

    Four loci have been associated with pancreatic cancer through genome-wide association studies (GWAS). Pathway-based analysis of GWAS data is a complementary approach to identify groups of genes or biological pathways enriched with disease-associated single-nucleotide polymorphisms (SNPs) whose individual effect sizes may be too small to be detected by standard single-locus methods. We used the adaptive rank truncated product method in a pathway-based analysis of GWAS data from 3851 pancreatic cancer cases and 3934 control participants pooled from 12 cohort studies and 8 case–control studies (PanScan). We compiled 23 biological pathways hypothesized to be relevant to pancreatic cancer and observed a nominal association between pancreatic cancer and five pathways (P < 0.05), i.e. pancreatic development, Helicobacter pylori lacto/neolacto, hedgehog, Th1/Th2 immune response and apoptosis (P = 2.0 × 10−6, 1.6 × 10−5, 0.0019, 0.019 and 0.023, respectively). After excluding previously identified genes from the original GWAS in three pathways (NR5A2, ABO and SHH), the pancreatic development pathway remained significant (P = 8.3 × 10−5), whereas the others did not. The most significant genes (P < 0.01) in the five pathways were NR5A2, HNF1A, HNF4G and PDX1 for pancreatic development; ABO for H. pylori lacto/neolacto; SHH for hedgehog; TGFBR2 and CCL18 for Th1/Th2 immune response and MAPK8 and BCL2L11 for apoptosis. Our results provide a link between inherited variation in genes important for pancreatic development and cancer and show that pathway-based approaches to analysis of GWAS data can yield important insights into the collective role of genetic risk variants in cancer. PMID:22523087

  4. Breast Cancer Research Update

    Science.gov (United States)

    ... JavaScript on. Feature: Breast Cancer Breast Cancer Research Update Winter 2017 Table of Contents National Cancer Institute ... Addressing Breast Cancer's Unequal Burden / Breast Cancer Research Update Winter 2017 Issue: Volume 11 Number 4 Page ...

  5. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for 13 Cancer Types

    Science.gov (United States)

    Wheeler, William A.; Yeager, Meredith; Panagiotou, Orestis; Wang, Zhaoming; Berndt, Sonja I.; Lan, Qing; Abnet, Christian C.; Amundadottir, Laufey T.; Figueroa, Jonine D.; Landi, Maria Teresa; Mirabello, Lisa; Savage, Sharon A.; Taylor, Philip R.; Vivo, Immaculata De; McGlynn, Katherine A.; Purdue, Mark P.; Rajaraman, Preetha; Adami, Hans-Olov; Ahlbom, Anders; Albanes, Demetrius; Amary, Maria Fernanda; An, She-Juan; Andersson, Ulrika; Andriole, Gerald; Andrulis, Irene L.; Angelucci, Emanuele; Ansell, Stephen M.; Arici, Cecilia; Armstrong, Bruce K.; Arslan, Alan A.; Austin, Melissa A.; Baris, Dalsu; Barkauskas, Donald A.; Bassig, Bryan A.; Becker, Nikolaus; Benavente, Yolanda; Benhamou, Simone; Berg, Christine; Van Den Berg, David; Bernstein, Leslie; Bertrand, Kimberly A.; Birmann, Brenda M.; Black, Amanda; Boeing, Heiner; Boffetta, Paolo; Boutron-Ruault, Marie-Christine; Bracci, Paige M.; Brinton, Louise; Brooks-Wilson, Angela R.; Bueno-de-Mesquita, H. Bas; Burdett, Laurie; Buring, Julie; Butler, Mary Ann; Cai, Qiuyin; Cancel-Tassin, Geraldine; Canzian, Federico; Carrato, Alfredo; Carreon, Tania; Carta, Angela; Chan, John K. C.; Chang, Ellen T.; Chang, Gee-Chen; Chang, I-Shou; Chang, Jiang; Chang-Claude, Jenny; Chen, Chien-Jen; Chen, Chih-Yi; Chen, Chu; Chen, Chung-Hsing; Chen, Constance; Chen, Hongyan; Chen, Kexin; Chen, Kuan-Yu; Chen, Kun-Chieh; Chen, Ying; Chen, Ying-Hsiang; Chen, Yi-Song; Chen, Yuh-Min; Chien, Li-Hsin; Chirlaque, María-Dolores; Choi, Jin Eun; Choi, Yi Young; Chow, Wong-Ho; Chung, Charles C.; Clavel, Jacqueline; Clavel-Chapelon, Françoise; Cocco, Pierluigi; Colt, Joanne S.; Comperat, Eva; Conde, Lucia; Connors, Joseph M.; Conti, David; Cortessis, Victoria K.; Cotterchio, Michelle; Cozen, Wendy; Crouch, Simon; Crous-Bou, Marta; Cussenot, Olivier; Davis, Faith G.; Ding, Ti; Diver, W. Ryan; Dorronsoro, Miren; Dossus, Laure; Duell, Eric J.; Ennas, Maria Grazia; Erickson, Ralph L.; Feychting, Maria; Flanagan, Adrienne M.; Foretova, Lenka; Fraumeni, Joseph F.; Freedman, Neal D.; Beane Freeman, Laura E.; Fuchs, Charles; Gago-Dominguez, Manuela; Gallinger, Steven; Gao, Yu-Tang; Gapstur, Susan M.; Garcia-Closas, Montserrat; García-Closas, Reina; Gascoyne, Randy D.; Gastier-Foster, Julie; Gaudet, Mia M.; Gaziano, J. Michael; Giffen, Carol; Giles, Graham G.; Giovannucci, Edward; Glimelius, Bengt; Goggins, Michael; Gokgoz, Nalan; Goldstein, Alisa M.; Gorlick, Richard; Gross, Myron; Grubb, Robert; Gu, Jian; Guan, Peng; Gunter, Marc; Guo, Huan; Habermann, Thomas M.; Haiman, Christopher A.; Halai, Dina; Hallmans, Goran; Hassan, Manal; Hattinger, Claudia; He, Qincheng; He, Xingzhou; Helzlsouer, Kathy; Henderson, Brian; Henriksson, Roger; Hjalgrim, Henrik; Hoffman-Bolton, Judith; Hohensee, Chancellor; Holford, Theodore R.; Holly, Elizabeth A.; Hong, Yun-Chul; Hoover, Robert N.; Horn-Ross, Pamela L.; Hosain, G. M. Monawar; Hosgood, H. Dean; Hsiao, Chin-Fu; Hu, Nan; Hu, Wei; Hu, Zhibin; Huang, Ming-Shyan; Huerta, Jose-Maria; Hung, Jen-Yu; Hutchinson, Amy; Inskip, Peter D.; Jackson, Rebecca D.; Jacobs, Eric J.; Jenab, Mazda; Jeon, Hyo-Sung; Ji, Bu-Tian; Jin, Guangfu; Jin, Li; Johansen, Christoffer; Johnson, Alison; Jung, Yoo Jin; Kaaks, Rudolph; Kamineni, Aruna; Kane, Eleanor; Kang, Chang Hyun; Karagas, Margaret R.; Kelly, Rachel S.; Khaw, Kay-Tee; Kim, Christopher; Kim, Hee Nam; Kim, Jin Hee; Kim, Jun Suk; Kim, Yeul Hong; Kim, Young Tae; Kim, Young-Chul; Kitahara, Cari M.; Klein, Alison P.; Klein, Robert J.; Kogevinas, Manolis; Kohno, Takashi; Kolonel, Laurence N.; Kooperberg, Charles; Kricker, Anne; Krogh, Vittorio; Kunitoh, Hideo; Kurtz, Robert C.; Kweon, Sun-Seog; LaCroix, Andrea; Lawrence, Charles; Lecanda, Fernando; Lee, Victor Ho Fun; Li, Donghui; Li, Haixin; Li, Jihua; Li, Yao-Jen; Li, Yuqing; Liao, Linda M.; Liebow, Mark; Lightfoot, Tracy; Lim, Wei-Yen; Lin, Chien-Chung; Lin, Dongxin; Lindstrom, Sara; Linet, Martha S.; Link, Brian K.; Liu, Chenwei; Liu, Jianjun; Liu, Li; Ljungberg, Börje; Lloreta, Josep; Lollo, Simonetta Di; Lu, Daru; Lund, Eiluv; Malats, Nuria; Mannisto, Satu; Marchand, Loic Le; Marina, Neyssa; Masala, Giovanna; Mastrangelo, Giuseppe; Matsuo, Keitaro; Maynadie, Marc; McKay, James; McKean-Cowdin, Roberta; Melbye, Mads; Melin, Beatrice S.; Michaud, Dominique S.; Mitsudomi, Tetsuya; Monnereau, Alain; Montalvan, Rebecca; Moore, Lee E.; Mortensen, Lotte Maxild; Nieters, Alexandra; North, Kari E.; Novak, Anne J.; Oberg, Ann L.; Offit, Kenneth; Oh, In-Jae; Olson, Sara H.; Palli, Domenico; Pao, William; Park, In Kyu; Park, Jae Yong; Park, Kyong Hwa; Patiño-Garcia, Ana; Pavanello, Sofia; Peeters, Petra H. M.; Perng, Reury-Perng; Peters, Ulrike; Petersen, Gloria M.; Picci, Piero; Pike, Malcolm C.; Porru, Stefano; Prescott, Jennifer; Prokunina-Olsson, Ludmila; Qian, Biyun; Qiao, You-Lin; Rais, Marco; Riboli, Elio; Riby, Jacques; Risch, Harvey A.; Rizzato, Cosmeri; Rodabough, Rebecca; Roman, Eve; Roupret, Morgan; Ruder, Avima M.; de Sanjose, Silvia; Scelo, Ghislaine; Schned, Alan; Schumacher, Fredrick; Schwartz, Kendra; Schwenn, Molly; Scotlandi, Katia; Seow, Adeline; Serra, Consol; Serra, Massimo; Sesso, Howard D.; Setiawan, Veronica Wendy; Severi, Gianluca; Severson, Richard K.; Shanafelt, Tait D.; Shen, Hongbing; Shen, Wei; Shin, Min-Ho; Shiraishi, Kouya; Shu, Xiao-Ou; Siddiq, Afshan; Sierrasesúmaga, Luis; Sihoe, Alan Dart Loon; Skibola, Christine F.; Smith, Alex; Smith, Martyn T.; Southey, Melissa C.; Spinelli, John J.; Staines, Anthony; Stampfer, Meir; Stern, Marianna C.; Stevens, Victoria L.; Stolzenberg-Solomon, Rachael S.; Su, Jian; Su, Wu-Chou; Sund, Malin; Sung, Jae Sook; Sung, Sook Whan; Tan, Wen; Tang, Wei; Tardón, Adonina; Thomas, David; Thompson, Carrie A.; Tinker, Lesley F.; Tirabosco, Roberto; Tjønneland, Anne; Travis, Ruth C.; Trichopoulos, Dimitrios; Tsai, Fang-Yu; Tsai, Ying-Huang; Tucker, Margaret; Turner, Jenny; Vajdic, Claire M.; Vermeulen, Roel C. H.; Villano, Danylo J.; Vineis, Paolo; Virtamo, Jarmo; Visvanathan, Kala; Wactawski-Wende, Jean; Wang, Chaoyu; Wang, Chih-Liang; Wang, Jiu-Cun; Wang, Junwen; Wei, Fusheng; Weiderpass, Elisabete; Weiner, George J.; Weinstein, Stephanie; Wentzensen, Nicolas; White, Emily; Witzig, Thomas E.; Wolpin, Brian M.; Wong, Maria Pik; Wu, Chen; Wu, Guoping; Wu, Junjie; Wu, Tangchun; Wu, Wei; Wu, Xifeng; Wu, Yi-Long; Wunder, Jay S.; Xiang, Yong-Bing; Xu, Jun; Xu, Ping; Yang, Pan-Chyr; Yang, Tsung-Ying; Ye, Yuanqing; Yin, Zhihua; Yokota, Jun; Yoon, Ho-Il; Yu, Chong-Jen; Yu, Herbert; Yu, Kai; Yuan, Jian-Min; Zelenetz, Andrew; Zeleniuch-Jacquotte, Anne; Zhang, Xu-Chao; Zhang, Yawei; Zhao, Xueying; Zhao, Zhenhong; Zheng, Hong; Zheng, Tongzhang; Zheng, Wei; Zhou, Baosen; Zhu, Meng; Zucca, Mariagrazia; Boca, Simina M.; Cerhan, James R.; Ferri, Giovanni M.; Hartge, Patricia; Hsiung, Chao Agnes; Magnani, Corrado; Miligi, Lucia; Morton, Lindsay M.; Smedby, Karin E.; Teras, Lauren R.; Vijai, Joseph; Wang, Sophia S.; Brennan, Paul; Caporaso, Neil E.; Hunter, David J.; Kraft, Peter; Rothman, Nathaniel; Silverman, Debra T.; Slager, Susan L.; Chanock, Stephen J.; Chatterjee, Nilanjan

    2015-01-01

    Background: Studies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites. Methods: Between 2007 and 2014, the US National Cancer Institute has generated data from genome-wide association studies (GWAS) for 49 492 cancer case patients and 34 131 control patients. We apply novel mixed model methodology (GCTA) to this GWAS data to estimate the heritability of individual cancers, as well as the proportion of heritability attributable to cigarette smoking in smoking-related cancers, and the genetic correlation between pairs of cancers. Results: GWAS heritability was statistically significant at nearly all sites, with the estimates of array-based heritability, hl 2, on the liability threshold (LT) scale ranging from 0.05 to 0.38. Estimating the combined heritability of multiple smoking characteristics, we calculate that at least 24% (95% confidence interval [CI] = 14% to 37%) and 7% (95% CI = 4% to 11%) of the heritability for lung and bladder cancer, respectively, can be attributed to genetic determinants of smoking. Most pairs of cancers studied did not show evidence of strong genetic correlation. We found only four pairs of cancers with marginally statistically significant correlations, specifically kidney and testes (ρ = 0.73, SE = 0.28), diffuse large B-cell lymphoma (DLBCL) and pediatric osteosarcoma (ρ = 0.53, SE = 0.21), DLBCL and chronic lymphocytic leukemia (CLL) (ρ = 0.51, SE =0.18), and bladder and lung (ρ = 0.35, SE = 0.14). Correlation analysis also indicates that the genetic architecture of lung cancer differs between a smoking population of European ancestry and a nonsmoking Asian population, allowing for the possibility that the genetic etiology for the same disease can vary by population and environmental exposures. Conclusion: Our

  6. Cancer immunotherapy using novel tumor-associated antigenic peptides identified by genome-wide cDNA microarray analyses.

    Science.gov (United States)

    Nishimura, Yasuharu; Tomita, Yusuke; Yuno, Akira; Yoshitake, Yoshihiro; Shinohara, Masanori

    2015-05-01

    Recent genome-wide cDNA microarray analysis of gene expression profiles in comprehensive tumor types coupled with isolation of cancer tissues by laser-microbeam microdissection have revealed ideal tumor-associated antigens (TAAs) that are frequently overexpressed in various cancers including head and neck squamous cell cancer (HNSCC) and lung cancer, but not in most normal tissues except for testis, placenta, and fetal organs. Preclinical studies using HLA-transgenic mice and human T cells in vitro showed that TAA-derived CTL-epitope short peptides (SPs) are highly immunogenic and induce HLA-A2 or -A24-restricted CTLs. Based on the accumulated evidence, we carried out a phase II clinical trial of the TAA-SP vaccine in advanced 37 HNSCC patients. This study showed a significant induction of TAA-specific CTLs in the majority of patients without serious adverse effects. Importantly, clinical responses including a complete response were observed in this study. Another phase II clinical trial of therapeutic TAA-SP vaccine, designed to evaluate the ability of prevention of recurrence, is ongoing in HNSCC patients who have received curative operations. Further studies in human preclinical studies and in vivo studies using HLA class I transgenic mice showed TAA-derived long peptides (TAA-LPs) have the capacity to induce not only promiscuous HLA class II-restricted CD4(+) T helper type 1 cells but also tumor-specific CTLs through a cross-presentation mechanism. Moreover, we observed an augmentation of TAA-LP-specific T helper type 1 cell responses and tumor antigen-spreading in HNSCC patients vaccinated with TAA-SPs. This accumulated evidence suggests that therapeutic TAA-SPs and LPs vaccines may provide a promising cancer immunotherapy.

  7. Meta-analysis of Genome Wide Association Studies Identifies Genetic Markers of Late Toxicity Following Radiotherapy for Prostate Cancer

    Directory of Open Access Journals (Sweden)

    Sarah L. Kerns

    2016-08-01

    Full Text Available Nearly 50% of cancer patients undergo radiotherapy. Late radiotherapy toxicity affects quality-of-life in long-term cancer survivors and risk of side-effects in a minority limits doses prescribed to the majority of patients. Development of a test predicting risk of toxicity could benefit many cancer patients. We aimed to meta-analyze individual level data from four genome-wide association studies from prostate cancer radiotherapy cohorts including 1564 men to identify genetic markers of toxicity. Prospectively assessed two-year toxicity endpoints (urinary frequency, decreased urine stream, rectal bleeding, overall toxicity and single nucleotide polymorphism (SNP associations were tested using multivariable regression, adjusting for clinical and patient-related risk factors. A fixed-effects meta-analysis identified two SNPs: rs17599026 on 5q31.2 with urinary frequency (odds ratio [OR] 3.12, 95% confidence interval [CI] 2.08–4.69, p-value 4.16 × 10−8 and rs7720298 on 5p15.2 with decreased urine stream (OR 2.71, 95% CI 1.90–3.86, p-value = 3.21 × 10−8. These SNPs lie within genes that are expressed in tissues adversely affected by pelvic radiotherapy including bladder, kidney, rectum and small intestine. The results show that heterogeneous radiotherapy cohorts can be combined to identify new moderate-penetrance genetic variants associated with radiotherapy toxicity. The work provides a basis for larger collaborative efforts to identify enough variants for a future test involving polygenic risk profiling.

  8. Meta-analysis of Genome Wide Association Studies Identifies Genetic Markers of Late Toxicity Following Radiotherapy for Prostate Cancer.

    Science.gov (United States)

    Kerns, Sarah L; Dorling, Leila; Fachal, Laura; Bentzen, Søren; Pharoah, Paul D P; Barnes, Daniel R; Gómez-Caamaño, Antonio; Carballo, Ana M; Dearnaley, David P; Peleteiro, Paula; Gulliford, Sarah L; Hall, Emma; Michailidou, Kyriaki; Carracedo, Ángel; Sia, Michael; Stock, Richard; Stone, Nelson N; Sydes, Matthew R; Tyrer, Jonathan P; Ahmed, Shahana; Parliament, Matthew; Ostrer, Harry; Rosenstein, Barry S; Vega, Ana; Burnet, Neil G; Dunning, Alison M; Barnett, Gillian C; West, Catharine M L

    2016-08-01

    Nearly 50% of cancer patients undergo radiotherapy. Late radiotherapy toxicity affects quality-of-life in long-term cancer survivors and risk of side-effects in a minority limits doses prescribed to the majority of patients. Development of a test predicting risk of toxicity could benefit many cancer patients. We aimed to meta-analyze individual level data from four genome-wide association studies from prostate cancer radiotherapy cohorts including 1564 men to identify genetic markers of toxicity. Prospectively assessed two-year toxicity endpoints (urinary frequency, decreased urine stream, rectal bleeding, overall toxicity) and single nucleotide polymorphism (SNP) associations were tested using multivariable regression, adjusting for clinical and patient-related risk factors. A fixed-effects meta-analysis identified two SNPs: rs17599026 on 5q31.2 with urinary frequency (odds ratio [OR] 3.12, 95% confidence interval [CI] 2.08-4.69, p-value 4.16×10(-8)) and rs7720298 on 5p15.2 with decreased urine stream (OR 2.71, 95% CI 1.90-3.86, p-value=3.21×10(-8)). These SNPs lie within genes that are expressed in tissues adversely affected by pelvic radiotherapy including bladder, kidney, rectum and small intestine. The results show that heterogeneous radiotherapy cohorts can be combined to identify new moderate-penetrance genetic variants associated with radiotherapy toxicity. The work provides a basis for larger collaborative efforts to identify enough variants for a future test involving polygenic risk profiling.

  9. 9q31.2-rs865686 as a susceptibility locus for estrogen receptor-positive breast cancer: Evidence from the Breast Cancer Association Consortium

    NARCIS (Netherlands)

    H. Warren (Helen); F. Dudbridge (Frank); O. Fletcher (Olivia); N. Orr (Nick); N. Johnson (Nichola); J.L. Hopper (John); C. Apicella (Carmel); M.C. Southey (Melissa); M. Mahmoodi (Maryam); M.K. Schmidt (Marjanka); A. Broeks (Annegien); S. Cornelissen (Sten); L.M. Braaf (Linde); K.R. Muir (Kenneth); A. Lophatananon (Artitaya); A. Chaiwerawattana (Arkom); S. Wiangnon (Surapon); P.A. Fasching (Peter); M.W. Beckmann (Matthias); A.B. Ekici (Arif); R. Schulz-Wendtland (Rüdiger); E.J. Sawyer (Elinor); I.P. Tomlinson (Ian); M. Kerin (Michael); B. Burwinkel (Barbara); F. Marme (Federick); A. Schneeweiss (Andreas); C. Sohn (Christof); P. Guénel (Pascal); T. Truong (Thérèse); P. Laurent-Puig (Pierre); C. Mulot (Claire); S.E. Bojesen (Stig); S.F. Nielsen (Sune); H. Flyger (Henrik); B.G. Nordestgaard (Børge); R.L. Milne (Roger); J. Benítez (Javier); J.I. Arias Pérez (José Ignacio); M.P. Zamora (Pilar); H. Anton-Culver (Hoda); A. Ziogas (Argyrios); L. Bernstein (Leslie); C.C. Dur (Christina Clarke); H. Brenner (Hermann); H. Müller (Heike); V. Arndt (Volker); A. Langheinz (Anne); A. Meindl (Alfons); M. Golatta (Michael); C.R. Bartram (Claus); R.K. Schmutzler (Rita); H. Brauch (Hiltrud); C. Justenhoven (Christina); T. Brüning (Thomas); J. Chang-Claude (Jenny); S. Wang-Gohrke (Shan); U. Eilber (Ursula); T. Dörk (Thilo); P. Schürmann (Peter); M. Bremer (Michael); P. Hillemanns (Peter); H. Nevanlinna (Heli); T.A. Muranen (Taru); K. Aittomäki (Kristiina); C. Blomqvist (Carl); N.V. Bogdanova (Natalia); N.N. Antonenkova (Natalia); Y.I. Rogov (Yuri); M. Bermisheva (Marina); D. Prokofyeva (Darya); G. Zinnatullina (Guzel); E.K. Khusnutdinova (Elza); A. Lindblom (Annika); S. Margolin (Sara); A. Mannermaa (Arto); V-M. Kosma (Veli-Matti); J. Hartikainen (Jaana); V. Kataja (Vesa); G. Chenevix-Trench (Georgia); J. Beesley (Jonathan); X. Chen (Xiaoqing); D. Lambrechts (Diether); A. Smeets (Ann); R. Paridaens (Robert); C. Weltens (Caroline); D. Flesch-Janys (Dieter); K. Buck (Katharina); T.W. Behrens (Timothy); P. Peterlongo (Paolo); L. Bernard (Loris); S. Manoukian (Siranoush); P. Radice (Paolo); F.J. Couch (Fergus); C. Vachon (Celine); X. Wang (Xing); J.E. Olson (Janet); G.G. Giles (Graham); L. Baglietto (Laura); C.A. McLean (Cariona); G. Severi (Gianluca); E.M. John (Esther); A. Miron (Alexander); R. Winqvist (Robert); K. Pykäs (Katri); A. Jukkola-Vuorinen (Arja); M. Grip (Mervi); I.L. Andrulis (Irene); J.A. Knight (Julia); A.M. Mulligan (Anna Marie); N. Weerasooriya (Nayana); P. Devilee (Peter); R.A.E.M. Tollenaar (Rob); J.W.M. Martens (John); C.M. Seynaeve (Caroline); M.J. Hooning (Maartje); A. Hollestelle (Antoinette); A. Jager (Agnes); M.M.A. Tilanus-Linthorst (Madeleine); P. Hall (Per); K. Czene (Kamila); J. Liu (Jianjun); J. Li (Jingmei); A. Cox (Angela); S.S. Cross (Simon); I.W. Brock (Ian); M.W.R. Reed (Malcolm); P.D.P. Pharoah (Paul); F. Blows (Fiona); A.M. Dunning (Alison); M. Ghoussaini (Maya); A. Ashworth (Alan); A.J. Swerdlow (Anthony ); M. Jones (Marta); M. Schoemaker (Minouk); D.F. Easton (Douglas); M.K. Humphreys (Manjeet); Q. Wang (Qing); J. Peto (Julian); I. dos Santos Silva (Isabel)

    2012-01-01

    textabstractBackground: Our recent genome-wide association study identified a novel breast cancer susceptibility locus at 9q31.2 (rs865686). Methods: To further investigate the rs865686-breast cancer association, we conducted a replication study within the Breast Cancer Association Consortium, which

  10. 9q31.2-rs865686 as a susceptibility locus for estrogen receptor-positive breast cancer

    DEFF Research Database (Denmark)

    Warren, Helen; Dudbridge, Frank; Fletcher, Olivia

    2012-01-01

    Our recent genome-wide association study identified a novel breast cancer susceptibility locus at 9q31.2 (rs865686).......Our recent genome-wide association study identified a novel breast cancer susceptibility locus at 9q31.2 (rs865686)....

  11. Breast cancer

    CERN Multimedia

    2002-01-01

    "Cancer specialists will soon be able to compare mammograms with computerized images of breast cancer from across Europe, in a bid to improve diagnosis and treatment....The new project, known as MammoGrid, brings together computer and medical imaging experts, cancer specialists, radiologists and epidemiologists from Bristol, Oxford, Cambridge, France and Italy" (1 page).

  12. A meta-analysis of genome-wide association studies to identify prostate cancer susceptibility loci associated with aggressive and non-aggressive disease

    DEFF Research Database (Denmark)

    Amin Al Olama, Ali; Kote-Jarai, Zsofia; Schumacher, Fredrick R

    2013-01-01

    Genome-wide association studies (GWAS) have identified multiple common genetic variants associated with an increased risk of prostate cancer (PrCa), but these explain less than one-third of the heritability. To identify further susceptibility alleles, we conducted a meta-analysis of four GWAS inc...

  13. Learning about Breast Cancer

    Science.gov (United States)

    ... genetic terms used on this page Learning About Breast Cancer What do we know about heredity and breast ... Cancer What do we know about heredity and breast cancer? Breast cancer is a common disease. Each year, ...

  14. Interactions Between Genetic Variants and Breast Cancer Risk Factors in the Breast and Prostate Cancer Cohort Consortium

    NARCIS (Netherlands)

    Campa, Daniele; Kaaks, Rudolf; Le Marchand, Loic; Haiman, Christopher A.; Travis, Ruth C.; Berg, Christine D.; Buring, Julie E.; Chanock, Stephen J.; Diver, W. Ryan; Dostal, Lucie; Fournier, Agnes; Hankinson, Susan E.; Henderson, Brian E.; Hoover, Robert N.; Isaacs, Claudine; Johansson, Mattias; Kolonel, Laurence N.; Kraft, Peter; Lee, I-Min; McCarty, Catherine A.; Overvad, Kim; Panico, Salvatore; Peeters, Petra H. M.; Riboli, Elio; Jose Sanchez, Maria; Schumacher, Fredrick R.; Skeie, Guri; Stram, Daniel O.; Thun, Michael J.; Trichopoulos, Dimitrios; Zhang, Shumin; Ziegler, Regina G.; Hunter, David J.; Lindstroem, Sara; Canzian, Federico

    2011-01-01

    Background Recently, several genome-wide association studies have identified various genetic susceptibility loci for breast cancer. Relatively little is known about the possible interactions between these loci and the established risk factors for breast cancer. Methods To assess interactions between

  15. A genome-wide screen for promoter methylation in lung cancer identifies novel methylation markers for multiple malignancies.

    Directory of Open Access Journals (Sweden)

    David S Shames

    2006-12-01

    Full Text Available BACKGROUND: Promoter hypermethylation coupled with loss of heterozygosity at the same locus results in loss of gene function in many tumor cells. The "rules" governing which genes are methylated during the pathogenesis of individual cancers, how specific methylation profiles are initially established, or what determines tumor type-specific methylation are unknown. However, DNA methylation markers that are highly specific and sensitive for common tumors would be useful for the early detection of cancer, and those required for the malignant phenotype would identify pathways important as therapeutic targets. METHODS AND FINDINGS: In an effort to identify new cancer-specific methylation markers, we employed a high-throughput global expression profiling approach in lung cancer cells. We identified 132 genes that have 5' CpG islands, are induced from undetectable levels by 5-aza-2'-deoxycytidine in multiple non-small cell lung cancer cell lines, and are expressed in immortalized human bronchial epithelial cells. As expected, these genes were also expressed in normal lung, but often not in companion primary lung cancers. Methylation analysis of a subset (45/132 of these promoter regions in primary lung cancer (n = 20 and adjacent nonmalignant tissue (n = 20 showed that 31 genes had acquired methylation in the tumors, but did not show methylation in normal lung or peripheral blood cells. We studied the eight most frequently and specifically methylated genes from our lung cancer dataset in breast cancer (n = 37, colon cancer (n = 24, and prostate cancer (n = 24 along with counterpart nonmalignant tissues. We found that seven loci were frequently methylated in both breast and lung cancers, with four showing extensive methylation in all four epithelial tumors. CONCLUSIONS: By using a systematic biological screen we identified multiple genes that are methylated with high penetrance in primary lung, breast, colon, and prostate cancers. The cross

  16. Integrated Analysis of Genome-Wide Copy Number Alterations and Gene Expression Profiling of Lung Cancer in Xuanwei, China

    Science.gov (United States)

    Zhang, Yanliang; Xue, Qiuyue; Pan, Guoqing; Meng, Qing H.; Tuo, Xiaoyu; Cai, Xuemei; Chen, Zhenghui; Li, Ya; Huang, Tao; Duan, Xincen; Duan, Yong

    2017-01-01

    Objectives Lung cancer in Xuanwei (LCXW), China, is known throughout the world for its distinctive characteristics, but little is known about its pathogenesis. The purpose of this study was to screen potential novel “driver genes” in LCXW. Methods Genome-wide DNA copy number alterations (CNAs) were detected by array-based comparative genomic hybridization and differentially expressed genes (DEGs) by gene expression microarrays in 8 paired LCXW and non-cancerous lung tissues. Candidate driver genes were screened by integrated analysis of CNAs and DEGs. The candidate genes were further validated by real-time quantitative polymerase chain reaction. Results Large numbers of CNAs and DEGs were detected, respectively. Some of the most frequently occurring CNAs included gains at 5p15.33-p15.32, 5p15.1-p14.3, and 5p14.3-p14.2 and losses at 11q24.3, 21q21.1, 21q22.12-q22.13, and 21q22.2. Integrated analysis of CNAs and DEGs identified 24 candidate genes with frequent copy number gains and concordant upregulation, which were considered potential oncogenes, including CREB3L4, TRIP13, and CCNE2. In addition, the analysis identified 19 candidate genes with a negative association between copy number change and expression change, considered potential tumor suppressor genes, including AHRR, NKD2, and KLF10. One of the most studied oncogenes, MYC, may not play a carcinogenic role in LCXW. Conclusions This integrated analysis of CNAs and DEGs identified several potential novel LCXW-related genes, laying an important foundation for further research on the pathogenesis of LCXW and identification of novel biomarkers or therapeutic targets. PMID:28056099

  17. Hormonal Involvement in Breast Cancer Gene Amplification

    Science.gov (United States)

    2010-10-01

    and s ubsequently amp lified at the Yale University sequenc ing facility for Illumina sequencing. However, it required a lot of effort to obtain this...and Polyak K. (2008). Genome-wide functi onal synergy between amp lified and mutated genes in human breast cancer. Cancer Res. 68: 9532-9540...east cancer patient samples. Other co-amp lified genes, within the HER2 amplicon and/or at other regions, could serve as additional novel target s for

  18. A functional link between FOXA1 and breast cancer SNPs

    OpenAIRE

    Katika, Madhumohan R; Hurtado, Antoni

    2013-01-01

    Genome-wide association studies have revealed a multitude of breast cancer-associated SNPs. The majority of these SNPs are located in noncoding regions of the genome. Yet how they contribute to breast cancer development is unknown. Recently, a groundbreaking study by the Lupien group has shown that risk-associated SNPs of breast cancer are enriched for FOXA1 binding sites, which influences the function of this transcription factor.

  19. Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer

    NARCIS (Netherlands)

    Couch, Fergus J; Kuchenbaecker, Karoline B; Michailidou, Kyriaki; Mendoza-Fandino, Gustavo A; Nord, Silje; Lilyquist, Janna; Olswold, Curtis; Hallberg, Emily; Agata, Simona; Ahsan, Habibul; Aittomäki, Kristiina; Ambrosone, Christine; Andrulis, Irene L; Anton-Culver, Hoda; Arndt, Volker; Arun, Banu K; Arver, Brita; Barile, Monica; Barkardottir, Rosa B; Barrowdale, Daniel; Beckmann, Lars; Beckmann, Matthias W; Benitez, Javier; Blank, Stephanie V; Blomqvist, Carl; Bogdanova, Natalia V; Bojesen, Stig E; Bolla, Manjeet K; Bonanni, Bernardo; Brauch, Hiltrud; Brenner, Hermann; Burwinkel, Barbara; Buys, Saundra S; Caldes, Trinidad; Caligo, Maria A; Canzian, Federico; Carpenter, Jane; Chang-Claude, Jenny; Chanock, Stephen J; Chung, Wendy K; Claes, Kathleen B M; Cox, Angela; Cross, Simon S; Cunningham, Julie M; Czene, Kamila; Daly, Mary B; Damiola, Francesca; Darabi, Hatef; de la Hoya, Miguel; Devilee, Peter; Diez, Orland; Ding, Yuan C; Dolcetti, Riccardo; Domchek, Susan M; Dorfling, Cecilia M; Dos-Santos-Silva, Isabel; Dumont, Martine; Dunning, Alison M; Eccles, Diana M; Ehrencrona, Hans; Ekici, Arif B; Eliassen, Heather; Ellis, Steve; Fasching, Peter A; Figueroa, Jonine; Flesch-Janys, Dieter; Försti, Asta; Fostira, Florentia; Foulkes, William D; Friebel, Tara; Friedman, Eitan; Frost, Debra; Gabrielson, Marike; Gammon, Marilie D; Ganz, Patricia A; Gapstur, Susan M; Garber, Judy; Gaudet, Mia M; Gayther, Simon A; Gerdes, Anne-Marie; Ghoussaini, Maya; Giles, Graham G; Glendon, Gord; Godwin, Andrew K; Goldberg, Mark S; Goldgar, David E; González-Neira, Anna; Greene, Mark H; Gronwald, Jacek; Guénel, Pascal; Gunter, Marc; Haeberle, Lothar; Haiman, Christopher A; Hamann, Ute; Hansen, Thomas V O; Hart, Steven; Healey, Sue; Heikkinen, Tuomas; Henderson, Brian E; Herzog, Josef; Hogervorst, Frans B L; Hollestelle, Antoinette; Hooning, Maartje J; Hoover, Robert N; Hopper, John L; Humphreys, Keith; Hunter, David J; Huzarski, Tomasz; Imyanitov, Evgeny N; Isaacs, Claudine; Jakubowska, Anna; James, Paul; Janavicius, Ramunas; Jensen, Uffe Birk; John, Esther M; Jones, Michael; Kabisch, Maria; Kar, Siddhartha; Karlan, Beth Y; Khan, Sofia; Khaw, Kay-Tee; Kibriya, Muhammad G; Knight, Julia A; Ko, Yon-Dschun; Konstantopoulou, Irene; Kosma, Veli-Matti; Kristensen, Vessela; Kwong, Ava; Laitman, Yael; Lambrechts, Diether; Lazaro, Conxi; Lee, Eunjung; Le Marchand, Loic; Lester, Jenny; Lindblom, Annika; Lindor, Noralane; Lindstrom, Sara; Liu, Jianjun; Long, Jirong; Lubinski, Jan; Mai, Phuong L; Makalic, Enes; Malone, Kathleen E; Mannermaa, Arto; Manoukian, Siranoush; Margolin, Sara; Marme, Frederik; Martens, John W M; McGuffog, Lesley; Meindl, Alfons; Miller, Austin; Milne, Roger L; Miron, Penelope; Montagna, Marco; Mazoyer, Sylvie; Mulligan, Anna M; Muranen, Taru A; Nathanson, Katherine L; Neuhausen, Susan L; Nevanlinna, Heli; Nordestgaard, Børge G; Nussbaum, Robert L; Offit, Kenneth; Olah, Edith; Olopade, Olufunmilayo I; Olson, Janet E; Osorio, Ana; Park, Sue K; Peeters, Petra H; Peissel, Bernard; Peterlongo, Paolo; Peto, Julian; Phelan, Catherine M; Pilarski, Robert; Poppe, Bruce; Pylkäs, Katri; Radice, Paolo; Rahman, Nazneen; Rantala, Johanna; Rappaport, Christine; Rennert, Gad; Richardson, Andrea; Robson, Mark; Romieu, Isabelle; Rudolph, Anja; Rutgers, Emiel J; Sanchez, Maria-Jose; Santella, Regina M; Sawyer, Elinor J; Schmidt, Daniel F; Schmidt, Marjanka K; Schmutzler, Rita K; Schumacher, Fredrick; Scott, Rodney; Senter, Leigha; Sharma, Priyanka; Simard, Jacques; Singer, Christian F; Sinilnikova, Olga M; Soucy, Penny; Southey, Melissa; Steinemann, Doris; Stenmark-Askmalm, Marie; Stoppa-Lyonnet, Dominique; Swerdlow, Anthony; Szabo, Csilla I; Tamimi, Rulla; Tapper, William; Teixeira, Manuel R; Teo, Soo-Hwang; Terry, Mary B; Thomassen, Mads; Thompson, Deborah; Tihomirova, Laima; Toland, Amanda E; Tollenaar, Robert A E M; Tomlinson, Ian; Truong, Thérèse; Tsimiklis, Helen; Teulé, Alex; Tumino, Rosario; Tung, Nadine; Turnbull, Clare; Ursin, Giski; van Deurzen, Carolien H M; van Rensburg, Elizabeth J; Varon-Mateeva, Raymonda; Wang, Zhaoming; Wang-Gohrke, Shan; Weiderpass, Elisabete; Weitzel, Jeffrey N; Whittemore, Alice; Wildiers, Hans; Winqvist, Robert; Yang, Xiaohong R; Yannoukakos, Drakoulis; Yao, Song; Zamora, M Pilar; Zheng, Wei; Hall, Per; Kraft, Peter; Vachon, Celine; Slager, Susan; Chenevix-Trench, Georgia; Pharoah, Paul D P; Monteiro, Alvaro A N; García-Closas, Montserrat; Easton, Douglas F; Antoniou, Antonis C

    2016-01-01

    Common variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P<5 × 10(-8)) with oestrogen receptor (ER)-negative breast cancer and BRCA1-associated breast cancer risk. In this study, to identify new ER-negative susceptibility loci, w

  20. Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer

    NARCIS (Netherlands)

    F.J. Couch (Fergus); K.B. Kuchenbaecker (Karoline); K. Michailidou (Kyriaki); G.A. Mendoza-Fandino (Gustavo A.); S. Nord (Silje); J. Lilyquist (Janna); C. Olswold (Curtis); B. Hallberg (Boubou); S. Agata (Simona); H. Ahsan (Habibul); K. Aittomäki (Kristiina); C.B. Ambrosone (Christine B.); I.L. Andrulis (Irene); H. Anton-Culver (Hoda); V. Arndt (Volker); B.K. Arun (Banu); B. Arver (Brita Wasteson); M. Barile (Monica); R.B. Barkardottir (Rosa); D. Barrowdale (Daniel); L. Beckmann (Lars); M.W. Beckmann (Matthias); J. Benítez (Javier); S.V. Blank (Stephanie); C. Blomqvist (Carl); N.V. Bogdanova (Natalia); S.E. Bojesen (Stig); M.K. Bolla (Manjeet); B. Bonnani (Bernardo); H. Brauch (Hiltrud); H. Brenner (Hermann); B. Burwinkel (Barbara); S.S. Buys (Saundra S.); T. Caldes (Trinidad); M.A. Caligo (Maria); F. Canzian (Federico); T.A. Carpenter (Adrian); J. Chang-Claude (Jenny); S.J. Chanock (Stephen J.); W.K. Chung (Wendy K.); K.B.M. Claes (Kathleen B.M.); A. Cox (Angela); S.S. Cross (Simon); J.M. Cunningham (Julie); K. Czene (Kamila); M.B. Daly (Mary B.); F. Damiola (Francesca); H. Darabi (Hatef); M. de La Hoya (Miguel); P. Devilee (Peter); O. Díez (Orland); Y.C. Ding (Yuan); R. Dolcetti (Riccardo); S.M. Domchek (Susan); C.M. Dorfling (Cecilia); I. dos Santos Silva (Isabel); M. Dumont (Martine); A.M. Dunning (Alison); D. Eccles (Diana); H. Ehrencrona (Hans); A.B. Ekici (Arif); H. Eliassen (Heather); S.D. Ellis (Steve); P.A. Fasching (Peter); J.D. Figueroa (Jonine); D. Flesch-Janys (Dieter); A. Försti (Asta); F. Fostira (Florentia); W.D. Foulkes (William); M.O.W. Friebel (Mark ); E. Friedman (Eitan); D. Frost (Debra); M. Gabrielson (Marike); M. Gammon (Marilie); P.A. Ganz (Patricia A.); S.M. Gapstur (Susan M.); J. Garber (Judy); M.M. Gaudet (Mia); S.A. Gayther (Simon); A-M. Gerdes (Anne-Marie); M. Ghoussaini (Maya); G.G. Giles (Graham); G. Glendon (Gord); A.K. Godwin (Andrew K.); M.S. Goldberg (Mark); D. Goldgar (David); A. González-Neira (Anna); M.H. Greene (Mark H.); J. Gronwald (Jacek); P. Guénel (Pascal); M.J. Gunter (Marc J.); L. Haeberle (Lothar); C.A. Haiman (Christopher A.); U. Hamann (Ute); T.V.O. Hansen (Thomas); S. Hart (Stewart); S. Healey (Sue); T. Heikkinen (Tuomas); B.E. Henderson (Brian); J. Herzog (Josef); F.B.L. Hogervorst (Frans); A. Hollestelle (Antoinette); M.J. Hooning (Maartje); R.N. Hoover (Robert); J.L. Hopper (John); K. Humphreys (Keith); D. Hunter (David); T. Huzarski (Tomasz); E.N. Imyanitov (Evgeny N.); C. Isaacs (Claudine); A. Jakubowska (Anna); M. James (Margaret); R. Janavicius (Ramunas); U.B. Jensen; E.M. John (Esther); M. Jones (Michael); M. Kabisch (Maria); S. Kar (Siddhartha); B.Y. Karlan (Beth Y.); S. Khan (Sofia); K.T. Khaw; M.G. Kibriya (Muhammad); J.A. Knight (Julia); Y.-D. Ko (Yon-Dschun); I. Konstantopoulou (I.); V-M. Kosma (Veli-Matti); V. Kristensen (Vessela); A. Kwong (Ava); Y. Laitman (Yael); D. Lambrechts (Diether); C. Lazaro (Conxi); E. Lee (Eunjung); L. Le Marchand (Loic); K.J. Lester (Kathryn); A. Lindblom (Annika); N.M. Lindor (Noralane); S. Lindstrom (Stephen); J. Liu (Jianjun); J. Long (Jirong); J. Lubinski (Jan); P.L. Mai (Phuong); E. Makalic (Enes); K.E. Malone (Kathleen E.); A. Mannermaa (Arto); S. Manoukian (Siranoush); S. Margolin (Sara); F. Marme (Federick); J.W.M. Martens (John); L. McGuffog (Lesley); A. Meindl (Alfons); A. Miller (Austin); R.L. Milne (Roger); P. Miron (Penelope); M. Montagna (Marco); S. Mazoyer (Sylvie); A.-M. Mulligan (Anna-Marie); T.A. Muranen (Taru); K.L. Nathanson (Katherine); S.L. Neuhausen (Susan); H. Nevanlinna (Heli); B.G. Nordestgaard (Børge); R. Nussbaum (Robert); K. Offit (Kenneth); E. Olah; O.I. Olopade (Olufunmilayo I.); J.E. Olson (Janet); A. Osorio (Ana); S.K. Park (Sue K.); P.H.M. Peeters; B. Peissel (Bernard); P. Peterlongo (Paolo); J. Peto (Julian); C. Phelan (Catherine); R. Pilarski (Robert); B. Poppe (Bruce); K. Pykäs (Katri); P. Radice (Paolo); N. Rahman (Nazneen); J. Rantala (Johanna); C. Rappaport (Christine); G. Rennert (Gad); A.L. Richardson (Andrea); M. Robson (Mark); I. Romieu (Isabelle); A. Rudolph (Anja); E.J.T. Rutgers (Emiel); M.-J. Sanchez (Maria-Jose); R. Santella (Regina); E.J. Sawyer (Elinor); D.F. Schmidt (Daniel); M.K. Schmidt (Marjanka); R.K. Schmutzler (Rita); F.R. Schumacher (Fredrick); R.J. Scott (Rodney); L. Senter (Leigha); P. Sharma (Priyanka); J. Simard (Jacques); C.F. Singer (Christian); O. Sinilnikova (Olga); P. Soucy (Penny); M.C. Southey (Melissa); D. Steinemann (Doris)

    2016-01-01

    textabstractCommon variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P<5 × 10-8) with oestrogen receptor (ER)-negative breast cancer and BRCA1-associated breast cancer risk. In this study, to identify new ER-negative susceptibili

  1. Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer

    DEFF Research Database (Denmark)

    Couch, Fergus J; Kuchenbaecker, Karoline B; Michailidou, Kyriaki

    2016-01-01

    Common variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P<5 × 10(-8)) with oestrogen receptor (ER)-negative breast cancer and BRCA1-associated breast cancer risk. In this study, to identify new ER-negative susceptibility loci...

  2. Understanding a Breast Cancer Diagnosis

    Science.gov (United States)

    ... Cancer A-Z Breast Cancer Understanding a Breast Cancer Diagnosis If you’ve been diagnosed with breast cancer, ... Prevention Early Detection and Diagnosis Understanding a Breast Cancer Diagnosis Treatment Breast Reconstruction Surgery Living as a Breast ...

  3. Genome-Wide lncRNA Microarray Profiling Identifies Novel Circulating lncRNAs for Detection of Gastric Cancer

    Science.gov (United States)

    Zhang, Kecheng; Shi, Hongzhi; Xi, Hongqing; Wu, Xiaosong; Cui, Jianxin; Gao, Yunhe; Liang, Wenquan; Hu, Chong; Liu, Yi; Li, Jiyang; Wang, Ning; Wei, Bo; Chen, Lin

    2017-01-01

    Long non-coding RNAs (lncRNAs) can serve as blood-based biomarkers for cancer detection. To identify novel lncRNA biomarkers for gastric cancer (GC), we conducted, for the first time, genome-wide lncRNA screening analysis in two sets of samples: five paired preoperative and postoperative day 14 plasma samples from GC patients, and tissue samples from tumor and adjacent normal tissues. Candidate tumor-related lncRNAs were then quantitated and evaluated in three independent phases comprising 321 participants. The expression levels of lncRNAs were also measured in GC cell lines and the corresponding culture medium. Biomarker panels, lncRNA-based Index I and carcinoembryonic antigen (CEA)-based Index II, were constructed using logistic regression, and their diagnostic performance compared. Fagan's nomogram was plotted to facilitate clinical application. As a result, we identified five novel plasma lncRNAs (TINCR, CCAT2, AOC4P, BANCR and LINC00857), which, when combined in the lncRNA-based Index I, outperformed the CEA-based Index II (P < 0.001) and could distinguish GC patients from healthy controls with an area under the receiver-operating curve (AUC) of 0.91 (95% confidence interval (CI): 0.88-0.95). The lncRNA-based index decreased significantly by postoperative day 14 (P = 0.016), indicating its ability to monitor tumor dynamics. High values of the lncRNA-based index were correlated with tumor size (P = 0.036), depth of invasion (P = 0.025), lymphatic metastasis (P = 0.012) and more advanced tumor stages (P = 0.003). The lncRNA-based index was also able to discriminate GC patients from precancerous individuals and patients with gastrointestinal stromal tumor with AUC values of 0.82 (95% CI: 0.71-0.92) and 0.80 (95% CI: 0.68-0.91), respectively. Taken together, our findings demonstrate that this panel of five plasma lncRNAs could serve as a set of novel diagnostic biomarkers for GC detection. PMID:28042329

  4. Breast Cancer Treatment

    Science.gov (United States)

    ... Gynecologic Cancers Breast Cancer Screening Research Breast Cancer Treatment (PDQ®)–Patient Version General Information About Breast Cancer ... Certain factors affect prognosis (chance of recovery) and treatment options. The prognosis (chance of recovery ) and treatment ...

  5. Breast Cancer -- Male

    Science.gov (United States)

    ... Home > Types of Cancer > Breast Cancer in Men Breast Cancer in Men This is Cancer.Net’s Guide to Breast Cancer in Men. Use the menu below to choose ... social workers, and patient advocates. Cancer.Net Guide Breast Cancer in Men Introduction Statistics Risk Factors and Prevention ...

  6. Genome-Wide Gene Expression Profile Analyses Identify CTTN as a Potential Prognostic Marker in Esophageal Cancer

    OpenAIRE

    2014-01-01

    Aim Esophageal squamous cell carcinoma (ESCC) is one of the most common fatal malignances of the digestive tract. Its prognosis is poor mainly due to the lack of reliable markers for early detection and prognostic prediction. Here we aim to identify the molecules involved in ESCC carcinogenesis and those as potential markers for prognosis and as new molecular therapeutic targets. Methods We performed genome-wide gene expression profile analyses of 10 primary ESCCs and their adjacent normal ti...

  7. Male Breast Cancer

    Science.gov (United States)

    ... breast cancer include exposure to radiation, a family history of breast cancer, and having high estrogen levels, which can happen with diseases like cirrhosis or Klinefelter's syndrome. Treatment for male breast cancer is usually ...

  8. Breast cancer in pregnancy.

    Science.gov (United States)

    Krishna, Iris; Lindsay, Michael

    2013-09-01

    Pregnancy-associated breast cancer is defined as breast cancer diagnosed during pregnancy or in the first postpartum year. Breast cancer is one of the more common malignancies to occur during pregnancy and, as more women delay childbearing, the incidence of breast cancer in pregnancy is expected to increase. This article provides an overview of diagnosis, staging, and treatment of pregnancy-associated breast cancer. Recommendations for management of breast cancer in pregnancy are discussed.

  9. Genome-wide Analysis Identifies Novel Loci Associated with Ovarian Cancer Outcomes: Findings from the Ovarian Cancer Association Consortium

    NARCIS (Netherlands)

    Johnatty, S.E.; Tyrer, J.P.; Kar, S.; Beesley, J.; Lu, Y.; Gao, B.; Fasching, P.A.; Hein, A.; Ekici, A.B.; Beckmann, M.W.; Lambrechts, D.; Nieuwenhuysen, E. Van; Vergote, I.; Lambrechts, S.; Rossing, M.A.; Doherty, J.A.; Chang-Claude, J.; Modugno, F.; Ness, R.B.; Moysich, K.B.; Levine, D.A.; Kiemeney, L.A.L.M.; Massuger, L.F.A.G.; Gronwald, J.; Lubinski, J.; Jakubowska, A.; Cybulski, C.; Brinton, L.; Lissowska, J.; Wentzensen, N.; Song, H.; Rhenius, V.; Campbell, I.; Eccles, D.; Sieh, W.; Whittemore, A.S.; McGuire, V.; Rothstein, J.H.; Sutphen, R.; Anton-Culver, H.; Ziogas, A.; Gayther, S.A.; Gentry-Maharaj, A.; Menon, U.; Ramus, S.J.; Pearce, C.L.; Pike, M.C.; Stram, D.O.; Wu, A.H.; Kupryjanczyk, J.; Dansonka-Mieszkowska, A.; Rzepecka, I.K.; Spiewankiewicz, B.; Goodman, M.T.; Wilkens, L.R.; Carney, M.E.; Thompson, P.J.; Heitz, F.; Bois, A. du; Schwaab, I.; Harter, P.; Pisterer, J.; Hillemanns, P.; Karlan, B.Y.; Walsh, C.; Lester, J.; Orsulic, S.; Winham, S.J.; Earp, M.; Larson, M.C.; Fogarty, Z.C.; Hogdall, E.; Jensen, A.; Kjaer, S.K.; Fridley, B.L.; Cunningham, J.M.; Vierkant, R.A.; Schildkraut, J.M.; Iversen, E.S.; Terry, K.L.; Cramer, D.W; Bandera, E.V.; Orlow, I.; Pejovic, T.; Bean, Y.; Hogdall, C.; Lundvall, L.; McNeish, I.; Paul, J.; Carty, K.; Siddiqui, N.; Glasspool, R.; Sellers, T.; Kennedy, C.; Chiew, Y.E.; Berchuck, A.; MacGregor, S.; Pharoah, P.D.; Goode, E.L.; Defazio, A.

    2015-01-01

    PURPOSE: Chemotherapy resistance remains a major challenge in the treatment of ovarian cancer. We hypothesize that germline polymorphisms might be associated with clinical outcome. EXPERIMENTAL DESIGN: We analyzed approximately 2.8 million genotyped and imputed SNPs from the iCOGS experiment for pro

  10. A locus on 19p13 modifies risk of breast cancer in BRCA1 mutation carriers and is associated with hormone receptor-negative breast cancer in the general population

    DEFF Research Database (Denmark)

    Antoniou, Antonis C; Wang, Xianshu; Fredericksen, Zachary S;

    2010-01-01

    Germline BRCA1 mutations predispose to breast cancer. To identify genetic modifiers of this risk, we performed a genome-wide association study in 1,193 individuals with BRCA1 mutations who were diagnosed with invasive breast cancer under age 40 and 1,190 BRCA1 carriers without breast cancer diagn...

  11. A locus on 19p13 modifies risk of breast cancer in BRCA1 mutation carriers and is associated with hormone receptor-negative breast cancer in the general population

    NARCIS (Netherlands)

    Antoniou, Antonis C.; Wang, Xianshu; Fredericksen, Zachary S.; McGuffog, Lesley; Tarrell, Robert; Sinilnikova, Olga M.; Healey, Sue; Morrison, Jonathan; Kartsonaki, Christiana; Lesnick, Timothy; Ghoussaini, Maya; Barrowdale, Daniel; Peock, Susan; Cook, Margaret; Oliver, Clare; Frost, Debra; Eccles, Diana; Evans, D. Gareth; Eeles, Ros; Izatt, Louise; Chu, Carol; Douglas, Fiona; Paterson, Joan; Stoppa-Lyonnet, Dominique; Houdayer, Claude; Mazoyer, Sylvie; Giraud, Sophie; Lasset, Christine; Remenieras, Audrey; Caron, Olivier; Hardouin, Agnes; Berthet, Pascaline; Hogervorst, Frans B. L.; Rookus, Matti A.; Jager, Agnes; van den Ouweland, Ans; Hoogerbrugge, Nicoline; van der Luijt, Rob B.; Meijers-Heijboer, Hanne; Garcia, Encarna B. Gomez; Devilee, Peter; Vreeswijk, Maaike P. G.; Lubinski, Jan; Jakubowska, Anna; Gronwald, Jacek; Huzarski, Tomasz; Byrski, Tomasz; Gorski, Bohdan; Cybulski, Cezary; Spurdle, Amanda B.; Holland, Helene; Goldgar, David E.; John, Esther M.; Hopper, John L.; Southey, Melissa; Buys, Saundra S.; Daly, Mary B.; Terry, Mary-Beth; Schmutzler, Rita K.; Wappenschmidt, Barbara; Engel, Christoph; Meindl, Alfons; Preisler-Adams, Sabine; Arnold, Norbert; Niederacher, Dieter; Sutter, Christian; Domchek, Susan M.; Nathanson, Katherine L.; Rebbeck, Timothy; Blum, Joanne L.; Piedmonte, Marion; Rodriguez, Gustavo C.; Wakeley, Katie; Boggess, John F.; Basil, Jack; Blank, Stephanie V.; Friedman, Eitan; Kaufman, Bella; Laitman, Yael; Milgrom, Roni; Andrulis, Irene L.; Glendon, Gord; Ozcelik, Hilmi; Kirchhoff, Tomas; Vijai, Joseph; Gaudet, Mia M.; Altshuler, David; Guiducci, Candace; Loman, Niklas; Harbst, Katja; Rantala, Johanna; Ehrencrona, Hans; Gerdes, Anne-Marie; Thomassen, Mads; Sunde, Lone; Peterlongo, Paolo; Manoukian, Siranoush; Bonanni, Bernardo; Viel, Alessandra; Radice, Paolo; Caldes, Trinidad; de la Hoya, Miguel; Singer, Christian F.; Fink-Retter, Anneliese; Greene, Mark H.; Mai, Phuong L.; Loud, Jennifer T.; Guidugli, Lucia; Lindor, Noralane M.; Hansen, Thomas V. O.; Nielsen, Finn C.; Blanco, Ignacio; Lazaro, Conxi; Garber, Judy; Ramus, Susan J.; Gayther, Simon A.; Phelan, Catherine; Narod, Stephen; Szabo, Csilla I.; Benitez, Javier; Osorio, Ana; Nevanlinna, Heli; Heikkinen, Tuomas; Caligo, Maria A.; Beattie, Mary S.; Hamann, Ute; Godwin, Andrew K.; Montagna, Marco; Casella, Cinzia; Neuhausen, Susan L.; Karlan, Beth Y.; Tung, Nadine; Toland, Amanda E.; Weitzel, Jeffrey; Olopade, Olofunmilayo; Simard, Jacques; Soucy, Penny; Rubinstein, Wendy S.; Arason, Adalgeir; Rennert, Gad; Martin, Nicholas G.; Montgomery, Grant W.; Chang-Claude, Jenny; Flesch-Janys, Dieter; Brauch, Hiltrud; Severi, Gianluca; Baglietto, Laura; Cox, Angela; Cross, Simon S.; Miron, Penelope; Gerty, Sue M.; Tapper, William; Yannoukakos, Drakoulis; Fountzilas, George; Fasching, Peter A.; Beckmann, Matthias W.; Silva, Isabel dos Santos; Peto, Julian; Lambrechts, Diether; Paridaens, Robert; Ruediger, Thomas; Foersti, Asta; Winqvist, Robert; Pylkaes, Katri; Diasio, Robert B.; Lee, Adam M.; Eckel-Passow, Jeanette; Vachon, Celine; Blows, Fiona; Driver, Kristy; Dunning, Alison; Pharoah, Paul P. D.; Offit, Kenneth; Pankratz, V. Shane; Hakonarson, Hakon; Chenevix-Trench, Georgia; Easton, Douglas F.; Couch, Fergus J.

    2010-01-01

    Germline BRCA1 mutations predispose to breast cancer. To identify genetic modifiers of this risk, we performed a genome-wide association study in 1,193 individuals with BRCA1 mutations who were diagnosed with invasive breast cancer under age 40 and 1,190 BRCA1 carriers without breast cancer diagnosi

  12. Large-scale genotyping identifies 41 new loci associated with breast cancer risk

    DEFF Research Database (Denmark)

    Michailidou, Kyriaki; Hall, Per; Gonzalez-Neira, Anna

    2013-01-01

    Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ∼9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10...

  13. Meta-analysis of genome-wide association studies identifies multiple lung cancer susceptibility loci in never-smoking Asian women.

    Science.gov (United States)

    Wang, Zhaoming; Seow, Wei Jie; Shiraishi, Kouya; Hsiung, Chao A; Matsuo, Keitaro; Liu, Jie; Chen, Kexin; Yamji, Taiki; Yang, Yang; Chang, I-Shou; Wu, Chen; Hong, Yun-Chul; Burdett, Laurie; Wyatt, Kathleen; Chung, Charles C; Li, Shengchao A; Yeager, Meredith; Hutchinson, Amy; Hu, Wei; Caporaso, Neil; Landi, Maria T; Chatterjee, Nilanjan; Song, Minsun; Fraumeni, Joseph F; Kohno, Takashi; Yokota, Jun; Kunitoh, Hideo; Ashikawa, Kyota; Momozawa, Yukihide; Daigo, Yataro; Mitsudomi, Tetsuya; Yatabe, Yasushi; Hida, Toyoaki; Hu, Zhibin; Dai, Juncheng; Ma, Hongxia; Jin, Guangfu; Song, Bao; Wang, Zhehai; Cheng, Sensen; Yin, Zhihua; Li, Xuelian; Ren, Yangwu; Guan, Peng; Chang, Jiang; Tan, Wen; Chen, Chien-Jen; Chang, Gee-Chen; Tsai, Ying-Huang; Su, Wu-Chou; Chen, Kuan-Yu; Huang, Ming-Shyan; Chen, Yuh-Min; Zheng, Hong; Li, Haixin; Cui, Ping; Guo, Huan; Xu, Ping; Liu, Li; Iwasaki, Motoki; Shimazu, Taichi; Tsugane, Shoichiro; Zhu, Junjie; Jiang, Gening; Fei, Ke; Park, Jae Yong; Kim, Yeul Hong; Sung, Jae Sook; Park, Kyong Hwa; Kim, Young Tae; Jung, Yoo Jin; Kang, Chang Hyun; Park, In Kyu; Kim, Hee Nam; Jeon, Hyo-Sung; Choi, Jin Eun; Choi, Yi Young; Kim, Jin Hee; Oh, In-Jae; Kim, Young-Chul; Sung, Sook Whan; Kim, Jun Suk; Yoon, Ho-Il; Kweon, Sun-Seog; Shin, Min-Ho; Seow, Adeline; Chen, Ying; Lim, Wei-Yen; Liu, Jianjun; Wong, Maria Pik; Lee, Victor Ho Fun; Bassig, Bryan A; Tucker, Margaret; Berndt, Sonja I; Chow, Wong-Ho; Ji, Bu-Tian; Wang, Junwen; Xu, Jun; Sihoe, Alan Dart Loon; Ho, James C M; Chan, John K C; Wang, Jiu-Cun; Lu, Daru; Zhao, Xueying; Zhao, Zhenhong; Wu, Junjie; Chen, Hongyan; Jin, Li; Wei, Fusheng; Wu, Guoping; An, She-Juan; Zhang, Xu-Chao; Su, Jian; Wu, Yi-Long; Gao, Yu-Tang; Xiang, Yong-Bing; He, Xingzhou; Li, Jihua; Zheng, Wei; Shu, Xiao-Ou; Cai, Qiuyin; Klein, Robert; Pao, William; Lawrence, Charles; Hosgood, H Dean; Hsiao, Chin-Fu; Chien, Li-Hsin; Chen, Ying-Hsiang; Chen, Chung-Hsing; Wang, Wen-Chang; Chen, Chih-Yi; Wang, Chih-Liang; Yu, Chong-Jen; Chen, Hui-Ling; Su, Yu-Chun; Tsai, Fang-Yu; Chen, Yi-Song; Li, Yao-Jen; Yang, Tsung-Ying; Lin, Chien-Chung; Yang, Pan-Chyr; Wu, Tangchun; Lin, Dongxin; Zhou, Baosen; Yu, Jinming; Shen, Hongbing; Kubo, Michiaki; Chanock, Stephen J; Rothman, Nathaniel; Lan, Qing

    2016-02-01

    Genome-wide association studies (GWAS) of lung cancer in Asian never-smoking women have previously identified six susceptibility loci associated with lung cancer risk. To further discover new susceptibility loci, we imputed data from four GWAS of Asian non-smoking female lung cancer (6877 cases and 6277 controls) using the 1000 Genomes Project (Phase 1 Release 3) data as the reference and genotyped additional samples (5878 cases and 7046 controls) for possible replication. In our meta-analysis, three new loci achieved genome-wide significance, marked by single nucleotide polymorphism (SNP) rs7741164 at 6p21.1 (per-allele odds ratio (OR) = 1.17; P = 5.8 × 10(-13)), rs72658409 at 9p21.3 (per-allele OR = 0.77; P = 1.41 × 10(-10)) and rs11610143 at 12q13.13 (per-allele OR = 0.89; P = 4.96 × 10(-9)). These findings identified new genetic susceptibility alleles for lung cancer in never-smoking women in Asia and merit follow-up to understand their biological underpinnings.

  14. FGF receptor genes and breast cancer susceptibility

    DEFF Research Database (Denmark)

    Agarwal, D; Pineda, S; Michailidou, K

    2014-01-01

    Background:Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying...... was observed for SNPs in the FGF receptor genes. The strongest evidence in European women was for rs743682 in FGFR3; the estimated per-allele odds ratio was 1.05 (95% confidence interval=1.02-1.09, P=0.0020), which is substantially lower than that observed for SNPs in FGFR2.Conclusion:Our results suggest...

  15. Breast Cancer Disparities

    Science.gov (United States)

    ... 2.65 MB] Read the MMWR Science Clips Breast Cancer Black Women Have Higher Death Rates from Breast ... of Page U.S. State Info Number of Additional Breast Cancer Deaths Among Black Women, By State SOURCE: National ...

  16. Breast cancer in men

    Science.gov (United States)

    ... in situ - male; Intraductal carcinoma - male; Inflammatory breast cancer - male; Paget disease of the nipple - male; Breast cancer - male ... The cause of breast cancer in men is not clear. But there are risk factors that make breast cancer more likely in men: Exposure to ...

  17. Genome-wide association study of relative telomere length.

    Science.gov (United States)

    Prescott, Jennifer; Kraft, Peter; Chasman, Daniel I; Savage, Sharon A; Mirabello, Lisa; Berndt, Sonja I; Weissfeld, Joel L; Han, Jiali; Hayes, Richard B; Chanock, Stephen J; Hunter, David J; De Vivo, Immaculata

    2011-05-10

    Telomere function is essential to maintaining the physical integrity of linear chromosomes and healthy human aging. The probability of forming proper telomere structures depends on the length of the telomeric DNA tract. We attempted to identify common genetic variants associated with log relative telomere length using genome-wide genotyping data on 3,554 individuals from the Nurses' Health Study and the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial that took part in the National Cancer Institute Cancer Genetic Markers of Susceptibility initiative for breast and prostate cancer. After genotyping 64 independent SNPs selected for replication in additional Nurses' Health Study and Women's Genome Health Study participants, we did not identify genome-wide significant loci; however, we replicated the inverse association of log relative telomere length with the minor allele variant [C] of rs16847897 at the TERC locus (per allele β = -0.03, P = 0.003) identified by a previous genome-wide association study. We did not find evidence for an association with variants at the OBFC1 locus or other loci reported to be associated with telomere length. With this sample size we had >80% power to detect β estimates as small as ±0.10 for SNPs with minor allele frequencies of ≥0.15 at genome-wide significance. However, power is greatly reduced for β estimates smaller than ±0.10, such as those for variants at the TERC locus. In general, common genetic variants associated with telomere length homeostasis have been difficult to detect. Potential biological and technical issues are discussed.

  18. Genome-wide association study of relative telomere length.

    Directory of Open Access Journals (Sweden)

    Jennifer Prescott

    Full Text Available Telomere function is essential to maintaining the physical integrity of linear chromosomes and healthy human aging. The probability of forming proper telomere structures depends on the length of the telomeric DNA tract. We attempted to identify common genetic variants associated with log relative telomere length using genome-wide genotyping data on 3,554 individuals from the Nurses' Health Study and the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial that took part in the National Cancer Institute Cancer Genetic Markers of Susceptibility initiative for breast and prostate cancer. After genotyping 64 independent SNPs selected for replication in additional Nurses' Health Study and Women's Genome Health Study participants, we did not identify genome-wide significant loci; however, we replicated the inverse association of log relative telomere length with the minor allele variant [C] of rs16847897 at the TERC locus (per allele β = -0.03, P = 0.003 identified by a previous genome-wide association study. We did not find evidence for an association with variants at the OBFC1 locus or other loci reported to be associated with telomere length. With this sample size we had >80% power to detect β estimates as small as ±0.10 for SNPs with minor allele frequencies of ≥0.15 at genome-wide significance. However, power is greatly reduced for β estimates smaller than ±0.10, such as those for variants at the TERC locus. In general, common genetic variants associated with telomere length homeostasis have been difficult to detect. Potential biological and technical issues are discussed.

  19. Meta-analysis of genome-wide association studies identifies common susceptibility polymorphisms for colorectal and endometrial cancer near SH2B3 and TSHZ1

    Science.gov (United States)

    Cheng, Timothy HT; Thompson, Deborah; Painter, Jodie; O’Mara, Tracy; Gorman, Maggie; Martin, Lynn; Palles, Claire; Jones, Angela; Buchanan, Daniel D.; Ko Win, Aung; Hopper, John; Jenkins, Mark; Lindor, Noralane M.; Newcomb, Polly A.; Gallinger, Steve; Conti, David; Schumacher, Fred; Casey, Graham; Giles, Graham G; Pharoah, Paul; Peto, Julian; Cox, Angela; Swerdlow, Anthony; Couch, Fergus; Cunningham, Julie M; Goode, Ellen L; Winham, Stacey J; Lambrechts, Diether; Fasching, Peter; Burwinkel, Barbara; Brenner, Hermann; Brauch, Hiltrud; Chang-Claude, Jenny; Salvesen, Helga B.; Kristensen, Vessela; Darabi, Hatef; Li, Jingmei; Liu, Tao; Lindblom, Annika; Hall, Per; de Polanco, Magdalena Echeverry; Sans, Monica; Carracedo, Angel; Castellvi-Bel, Sergi; Rojas-Martinez, Augusto; Aguiar Jnr, Samuel; Teixeira, Manuel R.; Dunning, Alison M; Dennis, Joe; Otton, Geoffrey; Proietto, Tony; Holliday, Elizabeth; Attia, John; Ashton, Katie; Scott, Rodney J; McEvoy, Mark; Dowdy, Sean C; Fridley, Brooke L; Werner, Henrica MJ; Trovik, Jone; Njolstad, Tormund S; Tham, Emma; Mints, Miriam; Runnebaum, Ingo; Hillemanns, Peter; Dörk, Thilo; Amant, Frederic; Schrauwen, Stefanie; Hein, Alexander; Beckmann, Matthias W; Ekici, Arif; Czene, Kamila; Meindl, Alfons; Bolla, Manjeet K; Michailidou, Kyriaki; Tyrer, Jonathan P; Wang, Qin; Ahmed, Shahana; Healey, Catherine S; Shah, Mitul; Annibali, Daniela; Depreeuw, Jeroen; Al-Tassan, Nada A.; Harris, Rebecca; Meyer, Brian F.; Whiffin, Nicola; Hosking, Fay J; Kinnersley, Ben; Farrington, Susan M.; Timofeeva, Maria; Tenesa, Albert; Campbell, Harry; Haile, Robert W.; Hodgson, Shirley; Carvajal-Carmona, Luis; Cheadle, Jeremy P.; Easton, Douglas; Dunlop, Malcolm; Houlston, Richard; Spurdle, Amanda; Tomlinson, Ian

    2015-01-01

    High-risk mutations in several genes predispose to both colorectal cancer (CRC) and endometrial cancer (EC). We therefore hypothesised that some lower-risk genetic variants might also predispose to both CRC and EC. Using CRC and EC genome-wide association series, totalling 13,265 cancer cases and 40,245 controls, we found that the protective allele [G] at one previously-identified CRC polymorphism, rs2736100 near TERT, was associated with EC risk (odds ratio (OR) = 1.08, P = 0.000167); this polymorphism influences the risk of several other cancers. A further CRC polymorphism near TERC also showed evidence of association with EC (OR = 0.92; P = 0.03). Overall, however, there was no good evidence that the set of CRC polymorphisms was associated with EC risk, and neither of two previously-reported EC polymorphisms was associated with CRC risk. A combined analysis revealed one genome-wide significant polymorphism, rs3184504, on chromosome 12q24 (OR = 1.10, P = 7.23 × 10−9) with shared effects on CRC and EC risk. This polymorphism, a missense variant in the gene SH2B3, is also associated with haematological and autoimmune disorders, suggesting that it influences cancer risk through the immune response. Another polymorphism, rs12970291 near gene TSHZ1, was associated with both CRC and EC (OR = 1.26, P = 4.82 × 10−8), with the alleles showing opposite effects on the risks of the two cancers. PMID:26621817

  20. Meta-analysis of genome-wide association studies identifies common susceptibility polymorphisms for colorectal and endometrial cancer near SH2B3 and TSHZ1.

    Science.gov (United States)

    Cheng, Timothy H T; Thompson, Deborah; Painter, Jodie; O'Mara, Tracy; Gorman, Maggie; Martin, Lynn; Palles, Claire; Jones, Angela; Buchanan, Daniel D; Ko Win, Aung; Hopper, John; Jenkins, Mark; Lindor, Noralane M; Newcomb, Polly A; Gallinger, Steve; Conti, David; Schumacher, Fred; Casey, Graham; Giles, Graham G; Pharoah, Paul; Peto, Julian; Cox, Angela; Swerdlow, Anthony; Couch, Fergus; Cunningham, Julie M; Goode, Ellen L; Winham, Stacey J; Lambrechts, Diether; Fasching, Peter; Burwinkel, Barbara; Brenner, Hermann; Brauch, Hiltrud; Chang-Claude, Jenny; Salvesen, Helga B; Kristensen, Vessela; Darabi, Hatef; Li, Jingmei; Liu, Tao; Lindblom, Annika; Hall, Per; de Polanco, Magdalena Echeverry; Sans, Monica; Carracedo, Angel; Castellvi-Bel, Sergi; Rojas-Martinez, Augusto; Aguiar Jnr, Samuel; Teixeira, Manuel R; Dunning, Alison M; Dennis, Joe; Otton, Geoffrey; Proietto, Tony; Holliday, Elizabeth; Attia, John; Ashton, Katie; Scott, Rodney J; McEvoy, Mark; Dowdy, Sean C; Fridley, Brooke L; Werner, Henrica M J; Trovik, Jone; Njolstad, Tormund S; Tham, Emma; Mints, Miriam; Runnebaum, Ingo; Hillemanns, Peter; Dörk, Thilo; Amant, Frederic; Schrauwen, Stefanie; Hein, Alexander; Beckmann, Matthias W; Ekici, Arif; Czene, Kamila; Meindl, Alfons; Bolla, Manjeet K; Michailidou, Kyriaki; Tyrer, Jonathan P; Wang, Qin; Ahmed, Shahana; Healey, Catherine S; Shah, Mitul; Annibali, Daniela; Depreeuw, Jeroen; Al-Tassan, Nada A; Harris, Rebecca; Meyer, Brian F; Whiffin, Nicola; Hosking, Fay J; Kinnersley, Ben; Farrington, Susan M; Timofeeva, Maria; Tenesa, Albert; Campbell, Harry; Haile, Robert W; Hodgson, Shirley; Carvajal-Carmona, Luis; Cheadle, Jeremy P; Easton, Douglas; Dunlop, Malcolm; Houlston, Richard; Spurdle, Amanda; Tomlinson, Ian

    2015-12-01

    High-risk mutations in several genes predispose to both colorectal cancer (CRC) and endometrial cancer (EC). We therefore hypothesised that some lower-risk genetic variants might also predispose to both CRC and EC. Using CRC and EC genome-wide association series, totalling 13,265 cancer cases and 40,245 controls, we found that the protective allele [G] at one previously-identified CRC polymorphism, rs2736100 near TERT, was associated with EC risk (odds ratio (OR) = 1.08, P = 0.000167); this polymorphism influences the risk of several other cancers. A further CRC polymorphism near TERC also showed evidence of association with EC (OR = 0.92; P = 0.03). Overall, however, there was no good evidence that the set of CRC polymorphisms was associated with EC risk, and neither of two previously-reported EC polymorphisms was associated with CRC risk. A combined analysis revealed one genome-wide significant polymorphism, rs3184504, on chromosome 12q24 (OR = 1.10, P = 7.23 × 10(-9)) with shared effects on CRC and EC risk. This polymorphism, a missense variant in the gene SH2B3, is also associated with haematological and autoimmune disorders, suggesting that it influences cancer risk through the immune response. Another polymorphism, rs12970291 near gene TSHZ1, was associated with both CRC and EC (OR = 1.26, P = 4.82 × 10(-8)), with the alleles showing opposite effects on the risks of the two cancers.

  1. Imaging male breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Doyle, S., E-mail: sdoyle2@nhs.net [Primrose Breast Care Unit, Derriford Hospital, Plymouth (United Kingdom); Steel, J.; Porter, G. [Primrose Breast Care Unit, Derriford Hospital, Plymouth (United Kingdom)

    2011-11-15

    Male breast cancer is rare, with some pathological and radiological differences from female breast cancer. There is less familiarity with the imaging appearances of male breast cancer, due to its rarity and the more variable use of preoperative imaging. This review will illustrate the commonest imaging appearances of male breast cancer, with emphasis on differences from female breast cancer and potential pitfalls in diagnosis, based on a 10 year experience in our institution.

  2. A 2-Stage Genome-Wide Association Study to Identify Single Nucleotide Polymorphisms Associated With Development of Erectile Dysfunction Following Radiation Therapy for Prostate Cancer

    Energy Technology Data Exchange (ETDEWEB)

    Kerns, Sarah L. [Department of Radiation Oncology, Mount Sinai School of Medicine, New York, New York (United States); Departments of Pathology and Genetics, Albert Einstein College of Medicine, Bronx, New York (United States); Stock, Richard [Department of Radiation Oncology, Mount Sinai School of Medicine, New York, New York (United States); Stone, Nelson [Department of Radiation Oncology, Mount Sinai School of Medicine, New York, New York (United States); Department of Urology, Mount Sinai School of Medicine, New York, New York (United States); Buckstein, Michael [Department of Radiation Oncology, Mount Sinai School of Medicine, New York, New York (United States); Shao, Yongzhao [Division of Biostatistics, New York University School of Medicine, New York, New York (United States); Campbell, Christopher [Departments of Pathology and Genetics, Albert Einstein College of Medicine, Bronx, New York (United States); Rath, Lynda [Department of Radiation Oncology, Mount Sinai School of Medicine, New York, New York (United States); De Ruysscher, Dirk; Lammering, Guido [Department of Radiation Oncology, Maastricht University Medical Center, Maastricht (Netherlands); Hixson, Rosetta; Cesaretti, Jamie; Terk, Mitchell [Florida Radiation Oncology Group, Jacksonville, Florida (United States); Ostrer, Harry [Departments of Pathology and Genetics, Albert Einstein College of Medicine, Bronx, New York (United States); Rosenstein, Barry S., E-mail: barry.rosenstein@mssm.edu [Department of Radiation Oncology, Mount Sinai School of Medicine, New York, New York (United States); Department of Radiation Oncology, New York University School of Medicine, New York, New York (United States); Departments of Dermatology and Preventive Medicine, Mount Sinai School of Medicine, New York, New York (United States)

    2013-01-01

    Purpose: To identify single nucleotide polymorphisms (SNPs) associated with development of erectile dysfunction (ED) among prostate cancer patients treated with radiation therapy. Methods and Materials: A 2-stage genome-wide association study was performed. Patients were split randomly into a stage I discovery cohort (132 cases, 103 controls) and a stage II replication cohort (128 cases, 102 controls). The discovery cohort was genotyped using Affymetrix 6.0 genome-wide arrays. The 940 top ranking SNPs selected from the discovery cohort were genotyped in the replication cohort using Illumina iSelect custom SNP arrays. Results: Twelve SNPs identified in the discovery cohort and validated in the replication cohort were associated with development of ED following radiation therapy (Fisher combined P values 2.1 Multiplication-Sign 10{sup -5} to 6.2 Multiplication-Sign 10{sup -4}). Notably, these 12 SNPs lie in or near genes involved in erectile function or other normal cellular functions (adhesion and signaling) rather than DNA damage repair. In a multivariable model including nongenetic risk factors, the odds ratios for these SNPs ranged from 1.6 to 5.6 in the pooled cohort. There was a striking relationship between the cumulative number of SNP risk alleles an individual possessed and ED status (Sommers' D P value = 1.7 Multiplication-Sign 10{sup -29}). A 1-allele increase in cumulative SNP score increased the odds for developing ED by a factor of 2.2 (P value = 2.1 Multiplication-Sign 10{sup -19}). The cumulative SNP score model had a sensitivity of 84% and specificity of 75% for prediction of developing ED at the radiation therapy planning stage. Conclusions: This genome-wide association study identified a set of SNPs that are associated with development of ED following radiation therapy. These candidate genetic predictors warrant more definitive validation in an independent cohort.

  3. Male Breast Cancer

    Science.gov (United States)

    ... ducts that carry milk to the nipples, and fat. During puberty, women begin developing more breast tissue, and men do not. But because men are born with a small amount of breast tissue, they can develop breast cancer. Types of breast cancer diagnosed in men include: Cancer ...

  4. Plasma DNA tissue mapping by genome-wide methylation sequencing for noninvasive prenatal, cancer, and transplantation assessments

    Science.gov (United States)

    Sun, Kun; Jiang, Peiyong; Chan, K. C. Allen; Wong, John; Cheng, Yvonne K. Y.; Liang, Raymond H. S.; Chan, Wai-kong; Ma, Edmond S. K.; Chan, Stephen L.; Cheng, Suk Hang; Chan, Rebecca W. Y.; Tong, Yu K.; Ng, Simon S. M.; Wong, Raymond S. M.; Hui, David S. C.; Leung, Tse Ngong; Leung, Tak Y.; Lai, Paul B. S.; Chiu, Rossa W. K.; Lo, Yuk Ming Dennis

    2015-01-01

    Plasma consists of DNA released from multiple tissues within the body. Using genome-wide bisulfite sequencing of plasma DNA and deconvolution of the sequencing data with reference to methylation profiles of different tissues, we developed a general approach for studying the major tissue contributors to the circulating DNA pool. We tested this method in pregnant women, patients with hepatocellular carcinoma, and subjects following bone marrow and liver transplantation. In most subjects, white blood cells were the predominant contributors to the circulating DNA pool. The placental contributions in the plasma of pregnant women correlated with the proportional contributions as revealed by fetal-specific genetic markers. The graft-derived contributions to the plasma in the transplant recipients correlated with those determined using donor-specific genetic markers. Patients with hepatocellular carcinoma showed elevated plasma DNA contributions from the liver, which correlated with measurements made using tumor-associated copy number aberrations. In hepatocellular carcinoma patients and in pregnant women exhibiting copy number aberrations in plasma, comparison of methylation deconvolution results using genomic regions with different copy number status pinpointed the tissue type responsible for the aberrations. In a pregnant woman diagnosed as having follicular lymphoma during pregnancy, methylation deconvolution indicated a grossly elevated contribution from B cells into the plasma DNA pool and localized B cells as the origin of the copy number aberrations observed in plasma. This method may serve as a powerful tool for assessing a wide range of physiological and pathological conditions based on the identification of perturbed proportional contributions of different tissues into plasma. PMID:26392541

  5. Genome-wide gene expression profile analyses identify CTTN as a potential prognostic marker in esophageal cancer.

    Directory of Open Access Journals (Sweden)

    Pei Lu

    Full Text Available AIM: Esophageal squamous cell carcinoma (ESCC is one of the most common fatal malignances of the digestive tract. Its prognosis is poor mainly due to the lack of reliable markers for early detection and prognostic prediction. Here we aim to identify the molecules involved in ESCC carcinogenesis and those as potential markers for prognosis and as new molecular therapeutic targets. METHODS: We performed genome-wide gene expression profile analyses of 10 primary ESCCs and their adjacent normal tissues by cDNA microarrays representing 47,000 transcripts and variants. Candidate genes were then validated by semi quantitative reverse transcription-PCR (RT-PCR, tissue microarrays (TMAs and immunohistochemistry (IHC staining. RESULTS: Using an arbitrary cutoff line of signal log ratio of ≥1.5 or ≤-1.5, we observed 549 up-regulated genes and 766 down-regulated genes in ESCCs compared with normal esophageal tissues. The functions of 302 differentially expressed genes were associated with cell metabolism, cell adhesion and immune response. Several candidate deregulated genes including four overexpressed (CTTN, DMRT2, MCM10 and SCYA26 and two underexpressed (HMGCS2 and SORBS2 were subsequently verified, which can be served as biomarkers for ESCC. Moreover, overexpression of cortactin (CTTN was observed in 126/198 (63.6% of ESCC cases and was significantly associated with lymph node metastasis (P = 0.000, pathologic stage (P = 0.000 and poor survival (P<0.001 of ESCC patients. Furthermore, a significant correlation between CTTN overexpression and shorter disease-specific survival rate was found in different subgroups of ESCC patient stratified by the pathologic stage (P<0.05. CONCLUSION: Our data provide valuable information for establishing molecules as candidates for prognostic and/or as therapeutic targets.

  6. Array-based genome-wide RNAi screening to identify shRNAs that enhance p53-related apoptosis in human cancer cells.

    Science.gov (United States)

    Idogawa, Masashi; Ohashi, Tomoko; Sugisaka, Jun; Sasaki, Yasushi; Suzuki, Hiromu; Tokino, Takashi

    2014-09-15

    p53 transduction is a potentially effective cancer therapy but does not result in a good therapeutic response in all human cancers due to resistance to apoptosis. To discover factors that overcome resistance to p53-induced apoptosis, we attempted to identify RNAi sequences that enhance p53-induced apoptosis. We screened a genome-wide lentiviral shRNA library in liver cancer Huh-7 and pancreatic cancer Panc-1 cells, both of which resist p53-induced apoptosis. After the infection of adenovirus expressing p53 or LacZ as a control, shRNA-treated populations were analyzed by microarray. We identified shRNAs that were significantly decreased in p53-infected cells compared with control cells. Among these shRNAs, shRNA-58335 was markedly decreased in both cancer cell lines tested. shRNA-58335 enhanced p53-related apoptosis in vitro and augmented the inhibitory effect of adenoviral p53 transduction on tumor growth in vivo. Furthermore, the enhanced apoptotic response by shRNA-58335 was also confirmed by treatment with PRIMA-1, which reactivates mutant p53, instead of adenoviral p53 transduction. We found that shRNA-58335 evokes the apoptotic response following p53 transduction or functional restoration of p53 with a small molecule drug in cancer cells resistant to p53-induced apoptosis. The combination of p53 restoration and RNAi-based drugs is expected to be a promising novel cancer therapy.

  7. Genome Wide Expression Profiling of Cancer Cell Lines Cultured in Microgravity Reveals Significant Dysregulation of Cell Cycle and MicroRNA Gene Networks.

    Directory of Open Access Journals (Sweden)

    Prasanna Vidyasekar

    Full Text Available Zero gravity causes several changes in metabolic and functional aspects of the human body and experiments in space flight have demonstrated alterations in cancer growth and progression. This study reports the genome wide expression profiling of a colorectal cancer cell line-DLD-1, and a lymphoblast leukemic cell line-MOLT-4, under simulated microgravity in an effort to understand central processes and cellular functions that are dysregulated among both cell lines. Altered cell morphology, reduced cell viability and an aberrant cell cycle profile in comparison to their static controls were observed in both cell lines under microgravity. The process of cell cycle in DLD-1 cells was markedly affected with reduced viability, reduced colony forming ability, an apoptotic population and dysregulation of cell cycle genes, oncogenes, and cancer progression and prognostic markers. DNA microarray analysis revealed 1801 (upregulated and 2542 (downregulated genes (>2 fold in DLD-1 cultures under microgravity while MOLT-4 cultures differentially expressed 349 (upregulated and 444 (downregulated genes (>2 fold under microgravity. The loss in cell proliferative capacity was corroborated with the downregulation of the cell cycle process as demonstrated by functional clustering of DNA microarray data using gene ontology terms. The genome wide expression profile also showed significant dysregulation of post transcriptional gene silencing machinery and multiple microRNA host genes that are potential tumor suppressors and proto-oncogenes including MIR22HG, MIR17HG and MIR21HG. The MIR22HG, a tumor-suppressor gene was one of the highest upregulated genes in the microarray data showing a 4.4 log fold upregulation under microgravity. Real time PCR validated the dysregulation in the host gene by demonstrating a 4.18 log fold upregulation of the miR-22 microRNA. Microarray data also showed dysregulation of direct targets of miR-22, SP1, CDK6 and CCNA2.

  8. Breast cancer awareness

    OpenAIRE

    2012-01-01

    The incidence of breast cancer is rising among women in many European countries, affecting up to 1 in 16 women and has become the most common cause of cancer in European women. In Malta breast cancer is the commonest oncological cause of death in females. In fact 5.2% of all deaths in females in 2010 was from breast cancer.

  9. Analysis of Heritability and Shared Heritability Based on Genome-Wide Association Studies for Thirteen Cancer Types

    NARCIS (Netherlands)

    Sampson, Joshua N; Wheeler, William A; Yeager, Meredith; Panagiotou, Orestis; Wang, Zhaoming; Berndt, Sonja I; Lan, Qing; Abnet, Christian C; Amundadottir, Laufey T; Figueroa, Jonine D; Landi, Maria Teresa; Mirabello, Lisa; Savage, Sharon A; Taylor, Philip R; Vivo, Immaculata De; McGlynn, Katherine A; Purdue, Mark P; Rajaraman, Preetha; Adami, Hans-Olov; Ahlbom, Anders; Albanes, Demetrius; Amary, Maria Fernanda; An, She-Juan; Andersson, Ulrika; Andriole, Gerald; Andrulis, Irene L; Angelucci, Emanuele; Ansell, Stephen M; Arici, Cecilia; Armstrong, Bruce K; Arslan, Alan A; Austin, Melissa A; Baris, Dalsu; Barkauskas, Donald A; Bassig, Bryan A; Becker, Nikolaus; Benavente, Yolanda; Benhamou, Simone; Berg, Christine; Van Den Berg, David; Bernstein, Leslie; Bertrand, Kimberly A; Birmann, Brenda M; Black, Amanda; Boeing, Heiner; Boffetta, Paolo; Boutron-Ruault, Marie-Christine; Bracci, Paige M; Brinton, Louise; Brooks-Wilson, Angela R; Bueno-de-Mesquita, H Bas; Burdett, Laurie; Buring, Julie; Butler, Mary Ann; Cai, Qiuyin; Cancel-Tassin, Geraldine; Canzian, Federico; Carrato, Alfredo; Carreon, Tania; Carta, Angela; Chan, John K C; Chang, Ellen T; Chang, Gee-Chen; Chang, I-Shou; Chang, Jiang; Chang-Claude, Jenny; Chen, Chien-Jen; Chen, Chih-Yi; Chen, Chu; Chen, Chung-Hsing; Chen, Constance; Chen, Hongyan; Chen, Kexin; Chen, Kuan-Yu; Chen, Kun-Chieh; Chen, Ying; Chen, Ying-Hsiang; Chen, Yi-Song; Chen, Yuh-Min; Chien, Li-Hsin; Chirlaque, María-Dolores; Choi, Jin Eun; Choi, Yi Young; Chow, Wong-Ho; Chung, Charles C; Clavel, Jacqueline; Clavel-Chapelon, Françoise; Cocco, Pierluigi; Colt, Joanne S; Comperat, Eva; Conde, Lucia; Connors, Joseph M; Conti, David; Cortessis, Victoria K; Cotterchio, Michelle; Cozen, Wendy; Crouch, Simon; Crous-Bou, Marta; Cussenot, Olivier; Davis, Faith G; Ding, Ti; Diver, W Ryan; Dorronsoro, Miren; Dossus, Laure; Duell, Eric J; Ennas, Maria Grazia; Erickson, Ralph L; Feychting, Maria; Flanagan, Adrienne M; Foretova, Lenka; Fraumeni, Joseph F; Freedman, Neal D; Beane Freeman, Laura E; Fuchs, Charles; Gago-Dominguez, Manuela; Gallinger, Steven; Gao, Yu-Tang; Gapstur, Susan M; Garcia-Closas, Montserrat; García-Closas, Reina; Gascoyne, Randy D; Gastier-Foster, Julie; Gaudet, Mia M; Gaziano, J Michael; Giffen, Carol; Giles, Graham G; Giovannucci, Edward; Glimelius, Bengt; Goggins, Michael; Gokgoz, Nalan; Goldstein, Alisa M; Gorlick, Richard; Gross, Myron; Grubb, Robert; Gu, Jian; Guan, Peng; Gunter, Marc; Guo, Huan; Habermann, Thomas M; Haiman, Christopher A; Halai, Dina; Hallmans, Goran; Hassan, Manal; Hattinger, Claudia; He, Qincheng; He, Xingzhou; Helzlsouer, Kathy; Henderson, Brian; Henriksson, Roger; Hjalgrim, Henrik; Hoffman-Bolton, Judith; Hohensee, Chancellor; Holford, Theodore R; Holly, Elizabeth A; Hong, Yun-Chul; Hoover, Robert N; Horn-Ross, Pamela L; Hosain, G M Monawar; Hosgood, H Dean; Hsiao, Chin-Fu; Hu, Nan; Hu, Wei; Hu, Zhibin; Huang, Ming-Shyan; Huerta, Jose-Maria; Hung, Jen-Yu; Hutchinson, Amy; Inskip, Peter D; Jackson, Rebecca D; Jacobs, Eric J; Jenab, Mazda; Jeon, Hyo-Sung; Ji, Bu-Tian; Jin, Guangfu; Jin, Li; Johansen, Christoffer; Johnson, Alison; Jung, Yoo Jin; Kaaks, Rudolph; Kamineni, Aruna; Kane, Eleanor; Kang, Chang Hyun; Karagas, Margaret R; Kelly, Rachel S; Khaw, Kay-Tee; Kim, Christopher; Kim, Hee Nam; Kim, Jin Hee; Kim, Jun Suk; Kim, Yeul Hong; Kim, Young Tae; Kim, Young-Chul; Kitahara, Cari M; Klein, Alison P; Klein, Robert J; Kogevinas, Manolis; Kohno, Takashi; Kolonel, Laurence N; Kooperberg, Charles; Kricker, Anne; Krogh, Vittorio; Kunitoh, Hideo; Kurtz, Robert C; Kweon, Sun-Seog; LaCroix, Andrea; Lawrence, Charles; Lecanda, Fernando; Lee, Victor Ho Fun; Li, Donghui; Li, Haixin; Li, Jihua; Li, Yao-Jen; Li, Yuqing; Liao, Linda M; Liebow, Mark; Lightfoot, Tracy; Lim, Wei-Yen; Lin, Chien-Chung; Lin, Dongxin; Lindstrom, Sara; Linet, Martha S; Link, Brian K; Liu, Chenwei; Liu, Jianjun; Liu, Li; Ljungberg, Börje; Lloreta, Josep; Lollo, Simonetta Di; Lu, Daru; Lund, Eiluv; Malats, Nuria; Mannisto, Satu; Marchand, Loic Le; Marina, Neyssa; Masala, Giovanna; Mastrangelo, Giuseppe; Matsuo, Keitaro; Maynadie, Marc; McKay, James; McKean-Cowdin, Roberta; Melbye, Mads; Melin, Beatrice S; Michaud, Dominique S; Mitsudomi, Tetsuya; Monnereau, Alain; Montalvan, Rebecca; Moore, Lee E; Mortensen, Lotte Maxild; Nieters, Alexandra; North, Kari E; Novak, Anne J; Oberg, Ann L; Offit, Kenneth; Oh, In-Jae; Olson, Sara H; Palli, Domenico; Pao, William; Park, In Kyu; Park, Jae Yong; Park, Kyong Hwa; Patiño-Garcia, Ana; Pavanello, Sofia; Peeters, Petra H M; Perng, Reury-Perng; Peters, Ulrike; Petersen, Gloria M; Picci, Piero; Pike, Malcolm C; Porru, Stefano; Prescott, Jennifer; Prokunina-Olsson, Ludmila; Qian, Biyun; Qiao, You-Lin; Rais, Marco; Riboli, Elio; Riby, Jacques; Risch, Harvey A; Rizzato, Cosmeri; Rodabough, Rebecca; Roman, Eve; Roupret, Morgan; Ruder, Avima M; Sanjose, Silvia de; Scelo, Ghislaine; Schned, Alan; Schumacher, Fredrick; Schwartz, Kendra; Schwenn, Molly; Scotlandi, Katia; Seow, Adeline; Serra, Consol; Serra, Massimo; Sesso, Howard D; Setiawan, Veronica Wendy; Severi, Gianluca; Severson, Richard K; Shanafelt, Tait D; Shen, Hongbing; Shen, Wei; Shin, Min-Ho; Shiraishi, Kouya; Shu, Xiao-Ou; Siddiq, Afshan; Sierrasesúmaga, Luis; Sihoe, Alan Dart Loon; Skibola, Christine F; Smith, Alex; Smith, Martyn T; Southey, Melissa C; Spinelli, John J; Staines, Anthony; Stampfer, Meir; Stern, Marianna C; Stevens, Victoria L; Stolzenberg-Solomon, Rachael S; Su, Jian; Su, Wu-Chou; Sund, Malin; Sung, Jae Sook; Sung, Sook Whan; Tan, Wen; Tang, Wei; Tardón, Adonina; Thomas, David; Thompson, Carrie A; Tinker, Lesley F; Tirabosco, Roberto; Tjønneland, Anne; Travis, Ruth C; Trichopoulos, Dimitrios; Tsai, Fang-Yu; Tsai, Ying-Huang; Tucker, Margaret; Turner, Jenny; Vajdic, Claire M; Vermeulen, Roel C H; Villano, Danylo J; Vineis, Paolo; Virtamo, Jarmo; Visvanathan, Kala; Wactawski-Wende, Jean; Wang, Chaoyu; Wang, Chih-Liang; Wang, Jiu-Cun; Wang, Junwen; Wei, Fusheng; Weiderpass, Elisabete; Weiner, George J; Weinstein, Stephanie; Wentzensen, Nicolas; White, Emily; Witzig, Thomas E; Wolpin, Brian M; Wong, Maria Pik; Wu, Chen; Wu, Guoping; Wu, Junjie; Wu, Tangchun; Wu, Wei; Wu, Xifeng; Wu, Yi-Long; Wunder, Jay S; Xiang, Yong-Bing; Xu, Jun; Xu, Ping; Yang, Pan-Chyr; Yang, Tsung-Ying; Ye, Yuanqing; Yin, Zhihua; Yokota, Jun; Yoon, Ho-Il; Yu, Chong-Jen; Yu, Herbert; Yu, Kai; Yuan, Jian-Min; Zelenetz, Andrew; Zeleniuch-Jacquotte, Anne; Zhang, Xu-Chao; Zhang, Yawei; Zhao, Xueying; Zhao, Zhenhong; Zheng, Hong; Zheng, Tongzhang; Zheng, Wei; Zhou, Baosen; Zhu, Meng; Zucca, Mariagrazia; Boca, Simina M; Cerhan, James R; Ferri, Giovanni M; Hartge, Patricia; Hsiung, Chao Agnes; Magnani, Corrado; Miligi, Lucia; Morton, Lindsay M; Smedby, Karin E; Teras, Lauren R; Vijai, Joseph; Wang, Sophia S; Brennan, Paul; Caporaso, Neil E; Hunter, David J; Kraft, Peter; Rothman, Nathaniel; Silverman, Debra T; Slager, Susan L; Chanock, Stephen J; Chatterjee, Nilanjan

    2015-01-01

    BACKGROUND: Studies of related individuals have consistently demonstrated notable familial aggregation of cancer. We aim to estimate the heritability and genetic correlation attributable to the additive effects of common single-nucleotide polymorphisms (SNPs) for cancer at 13 anatomical sites. METHO

  10. Identification of a BRCA2-Specific Modifier Locus at 6p24 Related to Breast Cancer Risk

    DEFF Research Database (Denmark)

    Gaudet, Mia M; Kuchenbaecker, Karoline B; Vijai, Joseph

    2013-01-01

    Common genetic variants contribute to the observed variation in breast cancer risk for BRCA2 mutation carriers; those known to date have all been found through population-based genome-wide association studies (GWAS). To comprehensively identify breast cancer risk modifying loci for BRCA2 mutation...... of SNPs that modify breast cancer risk in BRCA2 mutation carriers. This panel may have clinical utility for women with BRCA2 mutations weighing options for medical prevention of breast cancer....

  11. Association study between genome-wide significant variants of vitamin B12 metabolism and gastric cancer in a han Chinese population.

    Science.gov (United States)

    Zhao, Lei; Wei, Yucai; Song, Ailing; Li, Yumin

    2016-04-01

    Gastric cancer is one of the leading causes of cancer mortality worldwide. Accumulating evidence suggests that vitamin B12 plays an important role in the development of gastric cancer. Genome-wide association studies on metabolites in the one-carbon metabolism pathway identified several vitamin B12-related polymorphisms. Therefore, we investigated the association between variants within vitamin B12-related genes and gastric cancer in a Han Chinese population. Eight variants within the genome were significant vitamin B12-related genes, and they were selected for analysis in this case-control study. This study used a total of 492 gastric cancer patients and 550 noncancer controls. The variant rs526934 from the TCN1 gene was associated with an increased risk of developing gastric cancer. Increased risks of gastric cancer occurrence were observed in the minor G allele (OR = 1.25, 95% CI = 1.03-1.52, P = 0.031) and GG genotype (OR = 2.06, 95% CI = 1.24-3.42, P = 0.0043) compared with the wild-type A allele and AA-GA genotype, respectively. In the haplotypic analysis, we found that the CUBN haplotypes were associated with an altered gastric cancer risk. The rs1801222T/rs11254363A (OR = 1.40, 95% CI = 1.05-1.86, P = 0.021) and rs1801222C/rs11254363G (OR = 4.39, 95% CI = 2.32-8.30, P B12 concentration-related variants were associated with the occurrence of gastric cancer. This finding shed light on the unexpected role of vitamin B12 metabolism genes in gastric carcinogenesis and highlighted the interplay of diet, genetics, and human cancers.

  12. Genome-Wide Screening of Genes Showing Altered Expression in Liver Metastases of Human Colorectal Cancers by cDNA Microarray

    Directory of Open Access Journals (Sweden)

    Rempei Yanagawa

    2001-01-01

    Full Text Available In spite of intensive and increasingly successful attempts to determine the multiple steps involved in colorectal carcinogenesis, the mechanisms responsible for metastasis of colorectal tumors to the liver remain to be clarified. To identify genes that are candidates for involvement in the metastatic process, we analyzed genome-wide expression profiles of 10 primary colorectal cancers and their corresponding metastatic lesions by means of a cDNA microarray consisting of 9121 human genes. This analysis identified 40 genes whose expression was commonly upregulated in metastatic lesions, and 7 that were commonly downregulated. The upregulated genes encoded proteins involved in cell adhesion, or remodeling of the actin cytoskeleton. Investigation of the functions of more of the altered genes should improve our understanding of metastasis and may identify diagnostic markers and/or novel molecular targets for prevention or therapy of metastatic lesions.

  13. Breast cancer staging

    Science.gov (United States)

    ... this page: //medlineplus.gov/ency/patientinstructions/000911.htm Breast cancer staging To use the sharing features on this ... Once your health care team knows you have breast cancer , they will do more tests to stage it. ...

  14. Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer.

    Science.gov (United States)

    Couch, Fergus J; Kuchenbaecker, Karoline B; Michailidou, Kyriaki; Mendoza-Fandino, Gustavo A; Nord, Silje; Lilyquist, Janna; Olswold, Curtis; Hallberg, Emily; Agata, Simona; Ahsan, Habibul; Aittomäki, Kristiina; Ambrosone, Christine; Andrulis, Irene L; Anton-Culver, Hoda; Arndt, Volker; Arun, Banu K; Arver, Brita; Barile, Monica; Barkardottir, Rosa B; Barrowdale, Daniel; Beckmann, Lars; Beckmann, Matthias W; Benitez, Javier; Blank, Stephanie V; Blomqvist, Carl; Bogdanova, Natalia V; Bojesen, Stig E; Bolla, Manjeet K; Bonanni, Bernardo; Brauch, Hiltrud; Brenner, Hermann; Burwinkel, Barbara; Buys, Saundra S; Caldes, Trinidad; Caligo, Maria A; Canzian, Federico; Carpenter, Jane; Chang-Claude, Jenny; Chanock, Stephen J; Chung, Wendy K; Claes, Kathleen B M; Cox, Angela; Cross, Simon S; Cunningham, Julie M; Czene, Kamila; Daly, Mary B; Damiola, Francesca; Darabi, Hatef; de la Hoya, Miguel; Devilee, Peter; Diez, Orland; Ding, Yuan C; Dolcetti, Riccardo; Domchek, Susan M; Dorfling, Cecilia M; Dos-Santos-Silva, Isabel; Dumont, Martine; Dunning, Alison M; Eccles, Diana M; Ehrencrona, Hans; Ekici, Arif B; Eliassen, Heather; Ellis, Steve; Fasching, Peter A; Figueroa, Jonine; Flesch-Janys, Dieter; Försti, Asta; Fostira, Florentia; Foulkes, William D; Friebel, Tara; Friedman, Eitan; Frost, Debra; Gabrielson, Marike; Gammon, Marilie D; Ganz, Patricia A; Gapstur, Susan M; Garber, Judy; Gaudet, Mia M; Gayther, Simon A; Gerdes, Anne-Marie; Ghoussaini, Maya; Giles, Graham G; Glendon, Gord; Godwin, Andrew K; Goldberg, Mark S; Goldgar, David E; González-Neira, Anna; Greene, Mark H; Gronwald, Jacek; Guénel, Pascal; Gunter, Marc; Haeberle, Lothar; Haiman, Christopher A; Hamann, Ute; Hansen, Thomas V O; Hart, Steven; Healey, Sue; Heikkinen, Tuomas; Henderson, Brian E; Herzog, Josef; Hogervorst, Frans B L; Hollestelle, Antoinette; Hooning, Maartje J; Hoover, Robert N; Hopper, John L; Humphreys, Keith; Hunter, David J; Huzarski, Tomasz; Imyanitov, Evgeny N; Isaacs, Claudine; Jakubowska, Anna; James, Paul; Janavicius, Ramunas; Jensen, Uffe Birk; John, Esther M; Jones, Michael; Kabisch, Maria; Kar, Siddhartha; Karlan, Beth Y; Khan, Sofia; Khaw, Kay-Tee; Kibriya, Muhammad G; Knight, Julia A; Ko, Yon-Dschun; Konstantopoulou, Irene; Kosma, Veli-Matti; Kristensen, Vessela; Kwong, Ava; Laitman, Yael; Lambrechts, Diether; Lazaro, Conxi; Lee, Eunjung; Le Marchand, Loic; Lester, Jenny; Lindblom, Annika; Lindor, Noralane; Lindstrom, Sara; Liu, Jianjun; Long, Jirong; Lubinski, Jan; Mai, Phuong L; Makalic, Enes; Malone, Kathleen E; Mannermaa, Arto; Manoukian, Siranoush; Margolin, Sara; Marme, Frederik; Martens, John W M; McGuffog, Lesley; Meindl, Alfons; Miller, Austin; Milne, Roger L; Miron, Penelope; Montagna, Marco; Mazoyer, Sylvie; Mulligan, Anna M; Muranen, Taru A; Nathanson, Katherine L; Neuhausen, Susan L; Nevanlinna, Heli; Nordestgaard, Børge G; Nussbaum, Robert L; Offit, Kenneth; Olah, Edith; Olopade, Olufunmilayo I; Olson, Janet E; Osorio, Ana; Park, Sue K; Peeters, Petra H; Peissel, Bernard; Peterlongo, Paolo; Peto, Julian; Phelan, Catherine M; Pilarski, Robert; Poppe, Bruce; Pylkäs, Katri; Radice, Paolo; Rahman, Nazneen; Rantala, Johanna; Rappaport, Christine; Rennert, Gad; Richardson, Andrea; Robson, Mark; Romieu, Isabelle; Rudolph, Anja; Rutgers, Emiel J; Sanchez, Maria-Jose; Santella, Regina M; Sawyer, Elinor J; Schmidt, Daniel F; Schmidt, Marjanka K; Schmutzler, Rita K; Schumacher, Fredrick; Scott, Rodney; Senter, Leigha; Sharma, Priyanka; Simard, Jacques; Singer, Christian F; Sinilnikova, Olga M; Soucy, Penny; Southey, Melissa; Steinemann, Doris; Stenmark-Askmalm, Marie; Stoppa-Lyonnet, Dominique; Swerdlow, Anthony; Szabo, Csilla I; Tamimi, Rulla; Tapper, William; Teixeira, Manuel R; Teo, Soo-Hwang; Terry, Mary B; Thomassen, Mads; Thompson, Deborah; Tihomirova, Laima; Toland, Amanda E; Tollenaar, Robert A E M; Tomlinson, Ian; Truong, Thérèse; Tsimiklis, Helen; Teulé, Alex; Tumino, Rosario; Tung, Nadine; Turnbull, Clare; Ursin, Giski; van Deurzen, Carolien H M; van Rensburg, Elizabeth J; Varon-Mateeva, Raymonda; Wang, Zhaoming; Wang-Gohrke, Shan; Weiderpass, Elisabete; Weitzel, Jeffrey N; Whittemore, Alice; Wildiers, Hans; Winqvist, Robert; Yang, Xiaohong R; Yannoukakos, Drakoulis; Yao, Song; Zamora, M Pilar; Zheng, Wei; Hall, Per; Kraft, Peter; Vachon, Celine; Slager, Susan; Chenevix-Trench, Georgia; Pharoah, Paul D P; Monteiro, Alvaro A N; García-Closas, Montserrat; Easton, Douglas F; Antoniou, Antonis C

    2016-04-27

    Common variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P<5 × 10(-8)) with oestrogen receptor (ER)-negative breast cancer and BRCA1-associated breast cancer risk. In this study, to identify new ER-negative susceptibility loci, we performed a meta-analysis of 11 genome-wide association studies (GWAS) consisting of 4,939 ER-negative cases and 14,352 controls, combined with 7,333 ER-negative cases and 42,468 controls and 15,252 BRCA1 mutation carriers genotyped on the iCOGS array. We identify four previously unidentified loci including two loci at 13q22 near KLF5, a 2p23.2 locus near WDR43 and a 2q33 locus near PPIL3 that display genome-wide significant associations with ER-negative breast cancer. In addition, 19 known breast cancer risk loci have genome-wide significant associations and 40 had moderate associations (P<0.05) with ER-negative disease. Using functional and eQTL studies we implicate TRMT61B and WDR43 at 2p23.2 and PPIL3 at 2q33 in ER-negative breast cancer aetiology. All ER-negative loci combined account for ∼11% of familial relative risk for ER-negative disease and may contribute to improved ER-negative and BRCA1 breast cancer risk prediction.

  15. Identification of four novel susceptibility loci for oestrogen receptor negative breast cancer

    Science.gov (United States)

    Couch, Fergus J.; Kuchenbaecker, Karoline B.; Michailidou, Kyriaki; Mendoza-Fandino, Gustavo A.; Nord, Silje; Lilyquist, Janna; Olswold, Curtis; Hallberg, Emily; Agata, Simona; Ahsan, Habibul; Aittomäki, Kristiina; Ambrosone, Christine; Andrulis, Irene L.; Anton-Culver, Hoda; Arndt, Volker; Arun, Banu K.; Arver, Brita; Barile, Monica; Barkardottir, Rosa B.; Barrowdale, Daniel; Beckmann, Lars; Beckmann, Matthias W.; Benitez, Javier; Blank, Stephanie V.; Blomqvist, Carl; Bogdanova, Natalia V.; Bojesen, Stig E.; Bolla, Manjeet K.; Bonanni, Bernardo; Brauch, Hiltrud; Brenner, Hermann; Burwinkel, Barbara; Buys, Saundra S.; Caldes, Trinidad; Caligo, Maria A.; Canzian, Federico; Carpenter, Jane; Chang-Claude, Jenny; Chanock, Stephen J.; Chung, Wendy K.; Claes, Kathleen B. M.; Cox, Angela; Cross, Simon S.; Cunningham, Julie M.; Czene, Kamila; Daly, Mary B.; Damiola, Francesca; Darabi, Hatef; de la Hoya, Miguel; Devilee, Peter; Diez, Orland; Ding, Yuan C.; Dolcetti, Riccardo; Domchek, Susan M.; Dorfling, Cecilia M.; dos-Santos-Silva, Isabel; Dumont, Martine; Dunning, Alison M.; Eccles, Diana M.; Ehrencrona, Hans; Ekici, Arif B.; Eliassen, Heather; Ellis, Steve; Fasching, Peter A.; Figueroa, Jonine; Flesch-Janys, Dieter; Försti, Asta; Fostira, Florentia; Foulkes, William D.; Friebel, Tara; Friedman, Eitan; Frost, Debra; Gabrielson, Marike; Gammon, Marilie D.; Ganz, Patricia A.; Gapstur, Susan M.; Garber, Judy; Gaudet, Mia M.; Gayther, Simon A.; Gerdes, Anne-Marie; Ghoussaini, Maya; Giles, Graham G.; Glendon, Gord; Godwin, Andrew K.; Goldberg, Mark S.; Goldgar, David E.; González-Neira, Anna; Greene, Mark H.; Gronwald, Jacek; Guénel, Pascal; Gunter, Marc; Haeberle, Lothar; Haiman, Christopher A.; Hamann, Ute; Hansen, Thomas V. O.; Hart, Steven; Healey, Sue; Heikkinen, Tuomas; Henderson, Brian E.; Herzog, Josef; Hogervorst, Frans B. L.; Hollestelle, Antoinette; Hooning, Maartje J.; Hoover, Robert N.; Hopper, John L.; Humphreys, Keith; Hunter, David J.; Huzarski, Tomasz; Imyanitov, Evgeny N.; Isaacs, Claudine; Jakubowska, Anna; James, Paul; Janavicius, Ramunas; Jensen, Uffe Birk; John, Esther M.; Jones, Michael; Kabisch, Maria; Kar, Siddhartha; Karlan, Beth Y.; Khan, Sofia; Khaw, Kay-Tee; Kibriya, Muhammad G.; Knight, Julia A.; Ko, Yon-Dschun; Konstantopoulou, Irene; Kosma, Veli-Matti; Kristensen, Vessela; Kwong, Ava; Laitman, Yael; Lambrechts, Diether; Lazaro, Conxi; Lee, Eunjung; Le Marchand, Loic; Lester, Jenny; Lindblom, Annika; Lindor, Noralane; Lindstrom, Sara; Liu, Jianjun; Long, Jirong; Lubinski, Jan; Mai, Phuong L.; Makalic, Enes; Malone, Kathleen E.; Mannermaa, Arto; Manoukian, Siranoush; Margolin, Sara; Marme, Frederik; Martens, John W. M.; McGuffog, Lesley; Meindl, Alfons; Miller, Austin; Milne, Roger L.; Miron, Penelope; Montagna, Marco; Mazoyer, Sylvie; Mulligan, Anna M.; Muranen, Taru A.; Nathanson, Katherine L.; Neuhausen, Susan L.; Nevanlinna, Heli; Nordestgaard, Børge G.; Nussbaum, Robert L.; Offit, Kenneth; Olah, Edith; Olopade, Olufunmilayo I.; Olson, Janet E.; Osorio, Ana; Park, Sue K.; Peeters, Petra H.; Peissel, Bernard; Peterlongo, Paolo; Peto, Julian; Phelan, Catherine M.; Pilarski, Robert; Poppe, Bruce; Pylkäs, Katri; Radice, Paolo; Rahman, Nazneen; Rantala, Johanna; Rappaport, Christine; Rennert, Gad; Richardson, Andrea; Robson, Mark; Romieu, Isabelle; Rudolph, Anja; Rutgers, Emiel J.; Sanchez, Maria-Jose; Santella, Regina M.; Sawyer, Elinor J.; Schmidt, Daniel F.; Schmidt, Marjanka K.; Schmutzler, Rita K.; Schumacher, Fredrick; Scott, Rodney; Senter, Leigha; Sharma, Priyanka; Simard, Jacques; Singer, Christian F.; Sinilnikova, Olga M.; Soucy, Penny; Southey, Melissa; Steinemann, Doris; Stenmark-Askmalm, Marie; Stoppa-Lyonnet, Dominique; Swerdlow, Anthony; Szabo, Csilla I.; Tamimi, Rulla; Tapper, William; Teixeira, Manuel R.; Teo, Soo-Hwang; Terry, Mary B.; Thomassen, Mads; Thompson, Deborah; Tihomirova, Laima; Toland, Amanda E.; Tollenaar, Robert A. E. M.; Tomlinson, Ian; Truong, Thérèse; Tsimiklis, Helen; Teulé, Alex; Tumino, Rosario; Tung, Nadine; Turnbull, Clare; Ursin, Giski; van Deurzen, Carolien H. M.; van Rensburg, Elizabeth J.; Varon-Mateeva, Raymonda; Wang, Zhaoming; Wang-Gohrke, Shan; Weiderpass, Elisabete; Weitzel, Jeffrey N.; Whittemore, Alice; Wildiers, Hans; Winqvist, Robert; Yang, Xiaohong R.; Yannoukakos, Drakoulis; Yao, Song; Zamora, M Pilar; Zheng, Wei; Hall, Per; Kraft, Peter; Vachon, Celine; Slager, Susan; Chenevix-Trench, Georgia; Pharoah, Paul D. P.; Monteiro, Alvaro A. N.; García-Closas, Montserrat; Easton, Douglas F.; Antoniou, Antonis C.

    2016-01-01

    Common variants in 94 loci have been associated with breast cancer including 15 loci with genome-wide significant associations (P<5 × 10−8) with oestrogen receptor (ER)-negative breast cancer and BRCA1-associated breast cancer risk. In this study, to identify new ER-negative susceptibility loci, we performed a meta-analysis of 11 genome-wide association studies (GWAS) consisting of 4,939 ER-negative cases and 14,352 controls, combined with 7,333 ER-negative cases and 42,468 controls and 15,252 BRCA1 mutation carriers genotyped on the iCOGS array. We identify four previously unidentified loci including two loci at 13q22 near KLF5, a 2p23.2 locus near WDR43 and a 2q33 locus near PPIL3 that display genome-wide significant associations with ER-negative breast cancer. In addition, 19 known breast cancer risk loci have genome-wide significant associations and 40 had moderate associations (P<0.05) with ER-negative disease. Using functional and eQTL studies we implicate TRMT61B and WDR43 at 2p23.2 and PPIL3 at 2q33 in ER-negative breast cancer aetiology. All ER-negative loci combined account for ∼11% of familial relative risk for ER-negative disease and may contribute to improved ER-negative and BRCA1 breast cancer risk prediction. PMID:27117709

  16. Genome-wide retroviral insertional tagging of genes involved in cancer in Cdkn2a-deficient mice

    DEFF Research Database (Denmark)

    Lund, Anders H; Turner, Geoffrey; Trubetskoy, Alla;

    2002-01-01

    retroviral integration sites and mapped them against the mouse genome sequence databases from Celera and Ensembl. In addition to 17 insertions targeting gene loci known to be cancer-related, we identified a total of 37 new common insertion sites (CISs), of which 8 encode components of signaling pathways......-scale retroviral insertional mutagenesis in genetically predisposed mice is useful both as a system for identifying genes underlying cancer and as a genetic framework for the assignment of such genes to specific oncogenic pathways....

  17. Breast Cancer Early Detection and Diagnosis

    Science.gov (United States)

    ... En Español Category Cancer A-Z Breast Cancer Breast Cancer Early Detection and Diagnosis Breast cancer is sometimes ... cancer screening is so important. Learn more. Can Breast Cancer Be Found Early? Breast cancer is sometimes found ...

  18. Genome-wide transcriptional analysis of apoptosis-related genes and pathways regulated by H2AX in lung cancer A549 cells.

    Science.gov (United States)

    Lu, Chengrong; Xiong, Min; Luo, Yuan; Li, Jing; Zhang, Yanjun; Dong, Yaqiong; Zhu, Yanjun; Niu, Tianhui; Wang, Zhe; Duan, Lianning

    2013-09-01

    Histone H2AX is a novel tumor suppressor protein and plays an important role in apoptosis of cancer cells. However, the role of H2AX in lung cancer cells is unclear. The detailed mechanism and epigenetic regulation by H2AX remain elusive in cancer cells. We showed that H2AX was involved in apoptosis of lung cancer A549 cells as in other tumor cells. Knockdown of H2AX strongly suppressed apoptosis of A549 cells. We clarified the molecular mechanisms of apoptosis regulated by H2AX based on genome-wide transcriptional analysis. Microarray data analysis demonstrated that H2AX knockdown in A549 cells affected expression of 3,461 genes, including upregulation of 1,435 and downregulation of 2,026. These differentially expressed genes were subjected to bioinformatic analysis for exploring biological processes regulated by H2AX in lung cancer cells. Gene ontology analysis showed that H2AX affected expression of many genes, through which, many important functions including response to stimuli, gene expression, and apoptosis were involved in apoptotic regulation of lung cancer cells. Pathway analysis identified the mitogen-activated protein kinase signaling pathway and apoptosis as the most important pathways targeted by H2AX. Signal transduction pathway networks analysis and chromatin immunoprecipitation assay showed that two core genes, NFKB1 and JUN, were involved in apoptosis regulated by H2AX in lung cancer cells. Taken together, these data provide compelling clues for further exploration of H2AX function in cancer cells.

  19. Breast Cancer and Infertility

    OpenAIRE

    2015-01-01

    Breast cancer is the most common malignancy among women and may accompany infertility. The relationship between infertility treatment and breast cancer has not yet been proven. However, estrogen exposure is well known to cause breast cancer. Recent advances in treatment options have provided young patients with breast cancer a chance of being mother [Archives Medical Review Journal 2015; 24(3.000): 317-323

  20. Genome-wide pattern of TCF7L2/TCF4 chromatin occupancy in colorectal cancer cells

    NARCIS (Netherlands)

    Hatzis, Pantelis; van der Flier, Laurens G; van Driel, Marc A; Guryev, Victor; Nielsen, Fiona; Denissov, Sergei; Nijman, Isaäc J; Koster, Jan; Santo, Evan E; Welboren, Willem; Versteeg, Rogier; Cuppen, Edwin; van de Wetering, Marc; Clevers, Hans; Stunnenberg, Hendrik G

    2008-01-01

    Wnt signaling activates gene expression through the induced formation of complexes between DNA-binding T-cell factors (TCFs) and the transcriptional coactivator beta-catenin. In colorectal cancer, activating Wnt pathway mutations transform epithelial cells through the inappropriate activation of a T

  1. Genome-wide retroviral insertional tagging of genes involved in cancer in Cdkn2a-deficient mice.

    Science.gov (United States)

    Lund, Anders H; Turner, Geoffrey; Trubetskoy, Alla; Verhoeven, Els; Wientjens, Ellen; Hulsman, Danielle; Russell, Robert; DePinho, Ronald A; Lenz, Jack; van Lohuizen, Maarten

    2002-09-01

    We have used large-scale insertional mutagenesis to identify functional landmarks relevant to cancer in the recently completed mouse genome sequence. We infected Cdkn2a(-/-) mice with Moloney murine leukemia virus (MoMuLV) to screen for loci that can participate in tumorigenesis in collaboration with loss of the Cdkn2a-encoded tumor suppressors p16INK4a and p19ARF. Insertional mutagenesis by the latent retrovirus was synergistic with loss of Cdkn2a expression, as indicated by a marked acceleration in the development of both myeloid and lymphoid tumors. We isolated 747 unique sequences flanking retroviral integration sites and mapped them against the mouse genome sequence databases from Celera and Ensembl. In addition to 17 insertions targeting gene loci known to be cancer-related, we identified a total of 37 new common insertion sites (CISs), of which 8 encode components of signaling pathways that are involved in cancer. The effectiveness of large-scale insertional mutagenesis in a sensitized genetic background is demonstrated by the preference for activation of MAP kinase signaling, collaborating with Cdkn2a loss in generating the lymphoid and myeloid tumors. Collectively, our results show that large-scale retroviral insertional mutagenesis in genetically predisposed mice is useful both as a system for identifying genes underlying cancer and as a genetic framework for the assignment of such genes to specific oncogenic pathways.

  2. Genome-Wide Nucleic Acid/Protein Interaction in Breast Cancer

    Science.gov (United States)

    2005-04-01

    Brodsky3,’, Clifford A. Meyer 2𔃾, Wei Li2𔃾, Anna J. Szary’, Jerome Eeckhoute’, Wenlin Shao’, Eli V. Hestermann6, Timothy R. Geistlinger’, Edward A. Fox3...Herzog NK, (2001) 47(3):221-231. Aronson J, Shope RE, Leary JF, Gorenstein DG: Immunofluorescence assay and flow-cytometry selection of bead-bound aptamers

  3. In Search of Breast Cancer Culprits: Suspecting the Suspected and the Unsuspected

    OpenAIRE

    Dimri, Goberdhan P.

    2008-01-01

    I would like to welcome breast cancer research community to the fi rst editorial of our newest journal “Breast Cancer: Basic and Clinical Research”. In pursuit of breast cancer culprits, we have come a long way since the early 90’s when the first breast cancer susceptibility gene BRCA1 was mapped and cloned. In the past few years, several new loci associated with the various degree of breast cancer risk have been identified using “Candidate Gene Association Study (CGAS) and Genome-Wide Associ...

  4. Breast Cancer (For Kids)

    Science.gov (United States)

    ... With Breast Cancer Breast Cancer Prevention en español Cáncer de mama You may have heard about special events, like walks or races, to raise money for breast cancer research. Or maybe you've seen people wear ...

  5. Genome-wide mRNA and miRNA expression profiling reveal multiple regulatory networks in colorectal cancer

    DEFF Research Database (Denmark)

    Vishnubalaji, R; Hamam, R; Abdulla, M-H;

    2015-01-01

    upregulated and 1902 downregulated genes in CRC. Pathway analysis revealed significant enrichment in cell cycle, integrated cancer, Wnt (wingless-type MMTV integration site family member), matrix metalloproteinase, and TGF-β pathways in CRC. Pharmacological inhibition of Wnt (using XAV939 or IWP-2) or TGF......-β (using SB-431542) pathways led to dose- and time-dependent inhibition of CRC cell growth. Similarly, our data revealed up- (42) and downregulated (61) microRNAs in the same matched samples. Using target prediction and bioinformatics, ~77% of the upregulated genes were predicted to be targeted by micro...... in cell proliferation, and migration in vitro. Concordantly, small interfering RNA-mediated knockdown of EZH2 led to similar effects on CRC cell growth in vitro. Therefore, our data have revealed several hundred potential miRNA-mRNA regulatory networks in CRC and suggest targeting relevant networks...

  6. Breast Cancer Rates by State

    Science.gov (United States)

    ... Associated Lung Ovarian Prostate Skin Uterine Cancer Home Breast Cancer Rates by State Language: English Español (Spanish) Recommend ... from breast cancer each year. Rates of Getting Breast Cancer by State The number of people who get ...

  7. 6 Common Cancers - Breast Cancer

    Science.gov (United States)

    ... have revolutionized breast cancer treatment: tamoxifen (Nolvadex) and trastuzumab (Herceptin). Bernard Fisher, M.D., of the University of ... breast tumors. Dr. Slamon and his colleagues developed trastuzumab (Herceptin). Trastuzumab, a monoclonal antibody, was the first ...

  8. Do We Know What Causes Breast Cancer?

    Science.gov (United States)

    ... Research? Breast Cancer About Breast Cancer How Does Breast Cancer Form? Changes or mutations in DNA can cause ... requests, please contact permissionrequest@cancer.org . More In Breast Cancer About Breast Cancer Risk and Prevention Early Detection ...

  9. Aberrantly methylated DNA as a biomarker in breast cancer

    DEFF Research Database (Denmark)

    Kristiansen, Søren; Jørgensen, Lars Mønster; Guldberg, Per;

    2013-01-01

    hypermethylation events, their use as tumor biomarkers is usually not hampered by analytical signals from normal cells, which is a general problem for existing protein tumor markers used for clinical assessment of breast cancer. There is accumulating evidence that DNA-methylation changes in breast cancer patients......Aberrant DNA hypermethylation at gene promoters is a frequent event in human breast cancer. Recent genome-wide studies have identified hundreds of genes that exhibit differential methylation between breast cancer cells and normal breast tissue. Due to the tumor-specific nature of DNA...... into subgroups based on DNA biomarkers may improve prognosis. Serial monitoring of DNA-methylation markers in blood during treatment may be useful, particularly when the cancer burden is below the detection level for standard imaging techniques. Overall, aberrant DNA methylation has a great potential...

  10. A comprehensive characterization of genome-wide copy number aberrations in colorectal cancer reveals novel oncogenes and patterns of alterations.

    Directory of Open Access Journals (Sweden)

    Tao Xie

    Full Text Available To develop a comprehensive overview of copy number aberrations (CNAs in stage-II/III colorectal cancer (CRC, we characterized 302 tumors from the PETACC-3 clinical trial. Microsatellite-stable (MSS samples (n = 269 had 66 minimal common CNA regions, with frequent gains on 20 q (72.5%, 7 (41.8%, 8 q (33.1% and 13 q (51.0% and losses on 18 (58.6%, 4 q (26% and 21 q (21.6%. MSS tumors have significantly more CNAs than microsatellite-instable (MSI tumors: within the MSI tumors a novel deletion of the tumor suppressor WWOX at 16 q23.1 was identified (p<0.01. Focal aberrations identified by the GISTIC method confirmed amplifications of oncogenes including EGFR, ERBB2, CCND1, MET, and MYC, and deletions of tumor suppressors including TP53, APC, and SMAD4, and gene expression was highly concordant with copy number aberration for these genes. Novel amplicons included putative oncogenes such as WNK1 and HNF4A, which also showed high concordance between copy number and expression. Survival analysis associated a specific patient segment featured by chromosome 20 q gains to an improved overall survival, which might be due to higher expression of genes such as EEF1B2 and PTK6. The CNA clustering also grouped tumors characterized by a poor prognosis BRAF-mutant-like signature derived from mRNA data from this cohort. We further revealed non-random correlation between CNAs among unlinked loci, including positive correlation between 20 q gain and 8 q gain, and 20 q gain and chromosome 18 loss, consistent with co-selection of these CNAs. These results reinforce the non-random nature of somatic CNAs in stage-II/III CRC and highlight loci and genes that may play an important role in driving the development and outcome of this disease.

  11. MicroRNA Related Polymorphisms and Breast Cancer Risk

    DEFF Research Database (Denmark)

    Khan, Sofia; Greco, Dario; Michailidou, Kyriaki

    2014-01-01

    Genetic variations, such as single nucleotide polymorphisms (SNPs) in microRNAs (miRNA) or in the miRNA binding sites may affect the miRNA dependent gene expression regulation, which has been implicated in various cancers, including breast cancer, and may alter individual susceptibility to cancer....... We investigated associations between miRNA related SNPs and breast cancer risk. First we evaluated 2,196 SNPs in a case-control study combining nine genome wide association studies (GWAS). Second, we further investigated 42 SNPs with suggestive evidence for association using 41,785 cases and 41......,880 controls from 41 studies included in the Breast Cancer Association Consortium (BCAC). Combining the GWAS and BCAC data within a meta-analysis, we estimated main effects on breast cancer risk as well as risks for estrogen receptor (ER) and age defined subgroups. Five miRNA binding site SNPs associated...

  12. Breast Cancer in Men

    Science.gov (United States)

    ... Older age • B RCA2 gene mutation • F amily history of breast cancer • Gynecomastia (enlargement of the breast tissue) • Klinefelter’s syndrome (a genetic condition related to high levels ...

  13. Breast Cancer Immunotherapy

    Institute of Scientific and Technical Information of China (English)

    JuhuaZhou; YinZhong

    2004-01-01

    Breast cancer is a leading cause of cancer-related deaths in women worldwide. Although tumorectomy, radiotherapy, chemotherapy and hormone replacement therapy have been used for the treatment of breast cancer, there is no effective therapy for patients with invasive and metastatic breast cancer. Immunotherapy may be proved effective in treating patients with advanced breast cancer. Breast cancer immunotherapy includes antibody based immunotherapy, cancer vaccine immunotherapy, adoptive T cell transfer immunotherapy and T cell receptor gene transfer immunotherapy. Antibody based immunotherapy such as the monoclonal antibody against HER-2/neu (trastuzumab) is successfully used in the treatment of breast cancer patients with over-expressed HER-2/neu, however, HER-2/neu is over-expressed only in 25-30% of breast cancer patients. Cancer vaccine immunotherapy is a promising method to treat cancer patients. Cancer vaccines can be used to induce specific anti-tumor immunity in breast cancer patients, but cannot induce objective tumor regression. Adoptive T cell transfer immunotherapy is an effective method in the treatment of melanoma patients. Recent advances in anti-tumor T cell generation ex vivo and limited clinical trial data have made the feasibility of adoptive T cell transfer immunotherapy in the treatment of breast cancer patients. T cell receptor gene transfer can redirect the specificity of T cells. Chimeric receptor, scFv(anti-HER-2/neu)/zeta receptor, was successfully used to redirect cytotoxic T lymphocyte hybridoma cells to obtain anti-HER-2/neu positive tumor cells, suggesting the feasibility of treatment of breast cancer patients with T cell receptor gene transfer immunotherapy. Clinical trials will approve that immunotherapy is an effective method to cure breast cancer disease in the near future. Cellular & Molecular Immunology.

  14. Breast Cancer Immunotherapy

    Institute of Scientific and Technical Information of China (English)

    Juhua Zhou; Yin Zhong

    2004-01-01

    Breast cancer is a leading cause of cancer-related deaths in women worldwide. Although tumorectomy,radiotherapy, chemotherapy and hormone replacement therapy have been used for the treatment of breast cancer, there is no effective therapy for patients with invasive and metastatic breast cancer. Immunotherapy may be proved effective in treating patients with advanced breast cancer. Breast cancer immunotherapy includes antibody based immunotherapy, cancer vaccine immunotherapy, adoptive T cell transfer immunotherapy and T cell receptor gene transfer immunotherapy. Antibody based immunotherapy such as the monoclonal antibody against HER-2/neu (trastuzumab) is successfully used in the treatment of breast cancer patients with over-expressed HER-2/neu, however, HER-2/neu is over-expressed only in 25-30% of breast cancer patients. Cancer vaccine immunotherapy is a promising method to treat cancer patients. Cancer vaccines can be used to induce specific anti-tumor immunity in breast cancer patients, but cannot induce objective tumor regression. Adoptive T cell transfer immunotherapy is an effective method in the treatment of melanoma patients. Recent advances in anti-tumor T cell generation ex vivo and limited clinical trial data have made the feasibility of adoptive T cell transfer immunotherapy in the treatment of breast cancer patients. T cell receptor gene transfer can redirect the specificity of T cells. Chimeric receptor, scFv(anti-HER-2/neu)/zeta receptor, was successfully used to redirect cytotoxic T lymphocyte hybridoma cells to obtain anti-HER-2/neu positive tumor cells, suggesting the feasibility of treatment of breast cancer patients with T cell receptor gene transfer immunotherapy. Clinical trials will approve that immunotherapy is an effective method to cure breast cancer disease in the near future.

  15. Genetic variants associated with breast size also influence breast cancer risk

    Directory of Open Access Journals (Sweden)

    Eriksson Nicholas

    2012-06-01

    Full Text Available Abstract Background While some factors of breast morphology, such as density, are directly implicated in breast cancer, the relationship between breast size and cancer is less clear. Breast size is moderately heritable, yet the genetic variants leading to differences in breast size have not been identified. Methods To investigate the genetic factors underlying breast size, we conducted a genome-wide association study (GWAS of self-reported bra cup size, controlling for age, genetic ancestry, breast surgeries, pregnancy history and bra band size, in a cohort of 16,175 women of European ancestry. Results We identified seven single-nucleotide polymorphisms (SNPs significantly associated with breast size (p−8: rs7816345 near ZNF703, rs4849887 and (independently rs17625845 flanking INHBB, rs12173570 near ESR1, rs7089814 in ZNF365, rs12371778 near PTHLH, and rs62314947 near AREG. Two of these seven SNPs are in linkage disequilibrium (LD with SNPs associated with breast cancer (those near ESR1 and PTHLH, and a third (ZNF365 is near, but not in LD with, a breast cancer SNP. The other three loci (ZNF703, INHBB, and AREG have strong links to breast cancer, estrogen regulation, and breast development. Conclusions These results provide insight into the genetic factors underlying normal breast development and show that some of these factors are shared with breast cancer. While these results do not directly support any possible epidemiological relationships between breast size and cancer, this study may contribute to a better understanding of the subtle interactions between breast morphology and breast cancer risk.

  16. A large multi-ethnic genome-wide association study of prostate cancer identifies novel risk variants and substantial ethnic differences

    Science.gov (United States)

    Hoffmann, Thomas J.; Van Den Eeden, Stephen K.; Sakoda, Lori C.; Jorgenson, Eric; Habel, Laurel A.; Graff, Rebecca E.; Passarelli, Michael N.; Cario, Clinton L.; Emami, Nima C.; Chao, Chun R.; Ghai, Nirupa R.; Shan, Jun; Ranatunga, Dilrini K.; Quesenberry, Charles P.; Aaronson, David; Presti, Joseph; Zhaoming, Wang; Berndt, Sonja I.; Chanock, Stephen J.; McDonnell, Shannon K.; French, Amy J; Schaid, Daniel J; Thibodeau, Stephen N.; Li, Qiyuan; Freedman, Matthew L.; Penney, Kathryn L.; Mucci, Lorelei A.; Haiman, Christopher A.; Henderson, Brian E.; Seminara, Daniela; Kvale, Mark N.; Kwok, Pui-Yan; Schaefer, Catherine; Risch, Neil; Witte, John S.

    2015-01-01

    A genome-wide association study of prostate cancer in Kaiser Permanente health plan members (7,783 cases, 38,595 controls; 80.3% non-Hispanic white, 4.9% African-American, 7.0% East Asian, 7.8% Latino) revealed a new independent risk indel rs4646284 at the previously-identified locus 6q25.3 that replicated in PEGASUS (N=7,539) and MEC (N=4,679) (p=1.0×10−19, OR=1.18). Across the 6q25.3 locus, rs4646284 exhibited the strongest association with expression of SLC22A1 (p=1.3×10−23) and SLC22A3 (p=3.2×10−52). At the known 19q13.33 locus rs2659124 (p=1.3×10−13, OR=1.18) nominally replicated in PEGASUS. A risk score of 105 known risk SNPs was strongly associated with prostate cancer (p<1.0×10−8). Comparing the highest to lowest risk score deciles, the OR was 6.22 for non-Hispanic Whites, 5.82 for Latinos, 3.77 for African-Americans, and 3.38 for East Asians. In non-Hispanic whites, the 105 risk SNPs explained ~7.6% of disease heritability. The entire GWAS array explained ~33.4% of heritability, with a 4.3-fold enrichment within DNaseI hypersensitivity sites (p=0.004). PMID:26034056

  17. Fine-mapping of the 1p11.2 breast cancer susceptibility locus

    NARCIS (Netherlands)

    Horne, H.N. (Hisani N.); Chung, C.C. (Charles C.); Zhang, H. (Han); Yu, K. (Kai); Prokunina-Olsson, L. (Ludmila); K. Michailidou (Kyriaki); M.K. Bolla (Manjeet K.); Q. Wang (Qing); J. Dennis (Joe); J.L. Hopper (John); M.C. Southey (Melissa); M.K. Schmidt (Marjanka); A. Broeks (Annegien); K.R. Muir (K.); A. Lophatananon (Artitaya); P.A. Fasching (Peter); M.W. Beckmann (Matthias); O. Fletcher (Olivia); Johnson, N. (Nichola); E.J. Sawyer (Elinor); I.P. Tomlinson (Ian); Burwinkel, B. (Barbara); Marme, F. (Frederik); P. Guénel (Pascal); T. Truong (Thérèse); S.E. Bojesen (Stig); H. Flyger (Henrik); J. Benítez (Javier); A. González-Neira (Anna); H. Anton-Culver (Hoda); S.L. Neuhausen (Susan); Brenner, H. (Hermann); V. Arndt (Volker); A. Meindl (Alfons); R.K. Schmutzler (Rita); H. Brauch (Hiltrud); U. Hamann (Ute); H. Nevanlinna (Heli); S. Khan (Sofia); K. Matsuo (Keitaro); H. Iwata (Hiroji); T. Dörk (Thilo); N.V. Bogdanova (Natalia); A. Lindblom (Annika); S. Margolin (Sara); A. Mannermaa (Arto); V-M. Kosma (Veli-Matti); G. Chenevix-Trench (Georgia); A.H. Wu (Anna); Ven Den Berg, D. (David); A. Smeets (Ann); H. Zhao (Hui); J. Chang-Claude (Jenny); A. Rudolph (Anja); P. Radice (Paolo); M. Barile (Monica); F.J. Couch (Fergus); Vachon, C. (Celine); Giles, G.G. (Graham G.); R.L. Milne (Roger); C.A. Haiman (Christopher A.); L. Le Marchand (Loic); M.S. Goldberg (Mark); S.-H. Teo; N.A.M. Taib (Nur Aishah Mohd); V. Kristensen (Vessela); Borresen-Dale, A.-L. (Anne-Lise); W. Zheng (Wei); M. Shrubsole (Martha); R. Winqvist (Robert); A. Jukkola-Vuorinen (Arja); I.L. Andrulis (Irene); J.A. Knight (Julia); P. Devilee (Peter); C.M. Seynaeve (Caroline); M. García-Closas (Montserrat); K. Czene (Kamila); H. Darabi (Hatef); A. Hollestelle (Antoinette); J.W.M. Martens (John); J. Li (Jingmei); W. Lu (Wei); X.-O. Shu (Xiao-Ou); A. Cox (Angela); S.S. Cross (Simon); W.J. Blot (William); Q. Cai (Qiuyin); M. Shah (Mitul); C. Luccarini (Craig); Baynes, C. (Caroline); P. harrington (Patricia); D. Kang (Daehee); J.-Y. Choi (Ji-Yeob); J.M. Hartman (Joost); Chia, K.S. (Kee Seng); M. Kabisch (Maria); D. Torres (Diana); A. Jakubowska (Anna); J. Lubinski (Jan); S. Sangrajrang (Suleeporn); P. Brennan (Paul); S. Slager (Susan); D. Yannoukakos (Drakoulis); C.-Y. Shen (Chen-Yang); M.-F. Hou (Ming-Feng); A.J. Swerdlow (Anthony ); N. Orr (Nick); J. Simard (Jacques); P. Hall (Per); P.D.P. Pharoah (Paul); D.F. Easton (Douglas F.); Chanock, S.J. (Stephen J.); A.M. Dunning (Alison); J.D. Figueroa (Jonine)

    2016-01-01

    textabstractThe Cancer Genetic Markers of Susceptibility genome-wide association study (GWAS) originally identified a single nucleotide polymorphism (SNP) rs11249433 at 1p11.2 associated with breast cancer risk. To fine-map this locus, we genotyped 92 SNPs in a 900kb region (120,505,799-121,481,132)

  18. Common variants at 12p11, 12q24, 9p21, 9q31.2 and in ZNF365 are associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers

    NARCIS (Netherlands)

    Antoniou, Antonis C.; Kuchenbaecker, Karoline B.; Soucy, Penny; Beesley, Jonathan; Chen, Xiaoqing; McGuffog, Lesley; Lee, Andrew; Barrowdale, Daniel; Healey, Sue; Sinilnikova, Olga M.; Caligo, Maria A.; Loman, Niklas; Harbst, Katja; Lindblom, Annika; Arver, Brita; Rosenquist, Richard; Karlsson, Per; Nathanson, Kate; Domchek, Susan; Rebbeck, Tim; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Durda, Katarzyna; Zlowowcka-Perlowska, Elzbieta; Osorio, Ana; Duran, Mercedes; Andres, Raquel; Benitez, Javier; Hamann, Ute; Hogervorst, Frans B.; van Os, Theo A.; Verhoef, Senno; Meijers-Heijboer, Hanne E. J.; Wijnen, Juul; Garcia, Encarna B. Gomez; Ligtenberg, Marjolijn J.; Kriege, Mieke; Collee, Margriet; Ausems, Margreet G. E. M.; Oosterwijk, Jan C.; Peock, Susan; Frost, Debra; Ellis, Steve D.; Platte, Radka; Fineberg, Elena; Evans, D. Gareth; Lalloo, Fiona; Jacobs, Chris; Eeles, Ros; Adlard, Julian; Davidson, Rosemarie; Cole, Trevor; Cook, Jackie; Paterson, Joan; Douglas, Fiona; Brewer, Carole; Hodgson, Shirley; Morrison, Patrick J.; Walker, Lisa; Rogers, Mark T.; Donaldson, Alan; Dorkins, Huw; Godwin, Andrew K.; Bove, Betsy; Stoppa-Lyonnet, Dominique; Houdayer, Claude; Buecher, Bruno; de Pauw, Antoine; Mazoyer, Sylvie; Calender, Alain; Leone, Melanie; Bressac-de Paillerets, Brigitte; Caron, Olivier; Sobol, Hagay; Frenay, Marc; Prieur, Fabienne; Ferrer, Sandra Fert; Mortemousque, Isabelle; Buys, Saundra; Daly, Mary; Miron, Alexander; Terry, Mary Beth; Hopper, John L.; John, Esther M.; Southey, Melissa; Goldgar, David; Singer, Christian F.; Fink-Retter, Anneliese; Tea, Muy-Kheng; Kaulich, Daphne Geschwantler; Hansen, Thomas V. O.; Nielsen, Finn C.; Barkardottir, Rosa B.; Gaudet, Mia; Kirchhoff, Tomas; Joseph, Vijai; Dutra-Clarke, Ana; Offit, Kenneth; Piedmonte, Marion; Kirk, Judy; Cohn, David; Hurteau, Jean; Byron, John; Fiorica, James; Toland, Amanda E.; Montagna, Marco; Oliani, Cristina; Imyanitov, Evgeny; Isaacs, Claudine; Tihomirova, Laima; Blanco, Ignacio; Lazaro, Conxi; Teule, Alex; Del Valle, J.; Gayther, Simon A.; Odunsi, Kunle; Gross, Jenny; Karlan, Beth Y.; Olah, Edith; Teo, Soo-Hwang; Ganz, Patricia A.; Beattie, Mary S.; Dorfling, Cecelia M.; van Rensburg, Elizabeth Jansen; Diez, Orland; Kwong, Ava; Schmutzler, Rita K.; Wappenschmidt, Barbara; Engel, Christoph; Meindl, Alfons; Ditsch, Nina; Arnold, Norbert; Heidemann, Simone; Niederacher, Dieter; Preisler-Adams, Sabine; Gadzicki, Dorothea; Varon-Mateeva, Raymonda; Deissler, Helmut; Gehrig, Andrea; Sutter, Christian; Kast, Karin; Fiebig, Britta; Schaefer, Dieter; Caldes, Trinidad; de la Hoya, Miguel; Nevanlinna, Heli; Muranen, Taru A.; Lesperance, Bernard; Spurdle, Amanda B.; Neuhausen, Susan L.; Ding, Yuan C.; Wang, Xianshu; Fredericksen, Zachary; Pankratz, Vernon S.; Lindor, Noralane M.; Peterlongo, Paolo; Manoukian, Siranoush; Peissel, Bernard; Zaffaroni, Daniela; Bonanni, Bernardo; Bernard, Loris; Dolcetti, Riccardo; Papi, Laura; Ottini, Laura; Radice, Paolo; Greene, Mark H.; Loud, Jennifer T.; Andrulis, Irene L.; Ozcelik, Hilmi; Mulligan, Anna Marie; Glendon, Gord; Thomassen, Mads; Gerdes, Anne-Marie; Jensen, Uffe B.; Skytte, Anne-Bine; Kruse, Torben A.; Chenevix-Trench, Georgia; Couch, Fergus J.; Simard, Jacques; Easton, Douglas F.

    2012-01-01

    Introduction: Several common alleles have been shown to be associated with breast and/or ovarian cancer risk for BRCA1 and BRCA2 mutation carriers. Recent genome-wide association studies of breast cancer have identified eight additional breast cancer susceptibility loci: rs1011970 (9p21, CDKN2A/B),

  19. Common variants at 12p11, 12q24, 9p21, 9q31.2 and in ZNF365 are associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers

    DEFF Research Database (Denmark)

    Antoniou, Antonis C; Kuchenbaecker, Karoline B; Soucy, Penny

    2012-01-01

    Several common alleles have been shown to be associated with breast and/or ovarian cancer risk for BRCA1 and BRCA2 mutation carriers. Recent genome-wide association studies of breast cancer have identified eight additional breast cancer susceptibility loci: rs1011970 (9p21, CDKN2A/B), rs10995190...

  20. A colorectal cancer susceptibility new variant at 4q26 in the Spanish population identified by genome-wide association analysis.

    Directory of Open Access Journals (Sweden)

    Luis M Real

    Full Text Available BACKGROUND: Non-hereditary colorectal cancer (CRC is a complex disorder resulting from the combination of genetic and non-genetic factors. Genome-wide association studies (GWAS are useful for identifying such genetic susceptibility factors. However, the single loci so far associated with CRC only represent a fraction of the genetic risk for CRC development in the general population. Therefore, many other genetic risk variants alone and in combination must still remain to be discovered. The aim of this work was to search for genetic risk factors for CRC, by performing single-locus and two-locus GWAS in the Spanish population. RESULTS: A total of 801 controls and 500 CRC cases were included in the discovery GWAS dataset. 77 single nucleotide polymorphisms (SNPs from single-locus and 243 SNPs from two-locus association analyses were selected for replication in 423 additional CRC cases and 1382 controls. In the meta-analysis, one SNP, rs3987 at 4q26, reached GWAS significant p-value (p = 4.02×10(-8, and one SNP pair, rs1100508 CG and rs8111948 AA, showed a trend for two-locus association (p = 4.35×10(-11. Additionally, our GWAS confirmed the previously reported association with CRC of five SNPs located at 3q36.2 (rs10936599, 8q24 (rs10505477, 8q24.21(rs6983267, 11q13.4 (rs3824999 and 14q22.2 (rs4444235. CONCLUSIONS: Our GWAS for CRC patients from Spain confirmed some previously reported associations for CRC and yielded a novel candidate risk SNP, located at 4q26. Epistasis analyses also yielded several novel candidate susceptibility pairs that need to be validated in independent analyses.

  1. Genome-wide screening for genetic alterations in esophageal cancer by aCGH identifies 11q13 amplification oncogenes associated with nodal metastasis.

    Directory of Open Access Journals (Sweden)

    Jianming Ying

    Full Text Available BACKGROUND: Esophageal squamous cell carcinoma (ESCC is highly prevalent in China and other Asian countries, as a major cause of cancer-related mortality. ESCC displays complex chromosomal abnormalities, including multiple structural and numerical aberrations. Chromosomal abnormalities, such as recurrent amplifications and homozygous deletions, directly contribute to tumorigenesis through altering the expression of key oncogenes and tumor suppressor genes. METHODOLOGY/PRINCIPLE FINDINGS: To understand the role of genetic alterations in ESCC pathogenesis and identify critical amplification/deletion targets, we performed genome-wide 1-Mb array comparative genomic hybridization (aCGH analysis for 10 commonly used ESCC cell lines. Recurrent chromosomal gains were frequently detected on 3q26-27, 5p15-14, 8p12, 8p22-24, 11q13, 13q21-31, 18p11 and 20q11-13, with frequent losses also found on 8p23-22, 11q22, 14q32 and 18q11-23. Gain of 11q13.3-13.4 was the most frequent alteration in ESCC. Within this region, CCND1 oncogene was identified with high level of amplification and overexpression in ESCC, while FGF19 and SHANK2 was also remarkably over-expressed. Moreover, a high concordance (91.5% of gene amplification and protein overexpression of CCND1 was observed in primary ESCC tumors. CCND1 amplification/overexpression was also significantly correlated with the lymph node metastasis of ESCC. CONCLUSION: These findings suggest that genomic gain of 11q13 is the major mechanism contributing to the amplification. Novel oncogenes identified within the 11q13 amplicon including FGF19 and SHANK2 may play important roles in ESCC tumorigenesis.

  2. Genome-wide association study for colorectal cancer identifies risk polymorphisms in German familial cases and implicates MAPK signalling pathways in disease susceptibility.

    Science.gov (United States)

    Lascorz, Jesús; Försti, Asta; Chen, Bowang; Buch, Stephan; Steinke, Verena; Rahner, Nils; Holinski-Feder, Elke; Morak, Monika; Schackert, Hans K; Görgens, Heike; Schulmann, Karsten; Goecke, Timm; Kloor, Matthias; Engel, Cristoph; Büttner, Reinhard; Kunkel, Nelli; Weires, Marianne; Hoffmeister, Michael; Pardini, Barbara; Naccarati, Alessio; Vodickova, Ludmila; Novotny, Jan; Schreiber, Stefan; Krawczak, Michael; Bröring, Clemens D; Völzke, Henry; Schafmayer, Clemens; Vodicka, Pavel; Chang-Claude, Jenny; Brenner, Hermann; Burwinkel, Barbara; Propping, Peter; Hampe, Jochen; Hemminki, Kari

    2010-09-01

    Genetic susceptibility accounts for approximately 35% of all colorectal cancer (CRC). Ten common low-risk variants contributing to CRC risk have been identified through genome-wide association studies (GWASs). In our GWAS, 610 664 genotyped single-nucleotide polymorphisms (SNPs) passed the quality control filtering in 371 German familial CRC patients and 1263 controls, and replication studies were conducted in four additional case-control sets (4915 cases and 5607 controls). Known risk loci at 8q24.21 and 11q23 were confirmed, and a previously unreported association, rs12701937, located between the genes GLI3 (GLI family zinc finger 3) and INHBA (inhibin, beta A) [P = 1.1 x 10(-3), odds ratio (OR) 1.14, 95% confidence interval (CI) 1.05-1.23, dominant model in the combined cohort], was identified. The association was stronger in familial cases compared with unselected cases (P = 2.0 x 10(-4), OR 1.36, 95% CI 1.16-1.60, dominant model). Two other unreported SNPs, rs6038071, 40 kb upstream of CSNK2A1 (casein kinase 2, alpha 1 polypeptide) and an intronic marker in MYO3A (myosin IIIA), rs11014993, associated with CRC only in the familial CRC cases (P = 2.5 x 10(-3), recessive model, and P = 2.7 x 10(-4), dominant model). Three software tools successfully pointed to the overrepresentation of genes related to the mitogen-activated protein kinase (MAPK) signalling pathways among the 1340 most strongly associated markers from the GWAS (allelic P value genes involved in MAPK signalling events (P(trend) = 2.2 x 10(-16), OR(per allele) = 1.34, 95% CI 1.11-1.61).

  3. Breast cancer statistics, 2011.

    Science.gov (United States)

    DeSantis, Carol; Siegel, Rebecca; Bandi, Priti; Jemal, Ahmedin

    2011-01-01

    In this article, the American Cancer Society provides an overview of female breast cancer statistics in the United States, including trends in incidence, mortality, survival, and screening. Approximately 230,480 new cases of invasive breast cancer and 39,520 breast cancer deaths are expected to occur among US women in 2011. Breast cancer incidence rates were stable among all racial/ethnic groups from 2004 to 2008. Breast cancer death rates have been declining since the early 1990s for all women except American Indians/Alaska Natives, among whom rates have remained stable. Disparities in breast cancer death rates are evident by state, socioeconomic status, and race/ethnicity. While significant declines in mortality rates were observed for 36 states and the District of Columbia over the past 10 years, rates for 14 states remained level. Analyses by county-level poverty rates showed that the decrease in mortality rates began later and was slower among women residing in poor areas. As a result, the highest breast cancer death rates shifted from the affluent areas to the poor areas in the early 1990s. Screening rates continue to be lower in poor women compared with non-poor women, despite much progress in increasing mammography utilization. In 2008, 51.4% of poor women had undergone a screening mammogram in the past 2 years compared with 72.8% of non-poor women. Encouraging patients aged 40 years and older to have annual mammography and a clinical breast examination is the single most important step that clinicians can take to reduce suffering and death from breast cancer. Clinicians should also ensure that patients at high risk of breast cancer are identified and offered appropriate screening and follow-up. Continued progress in the control of breast cancer will require sustained and increased efforts to provide high-quality screening, diagnosis, and treatment to all segments of the population.

  4. Large-scale pathway-based analysis of bladder cancer genome-wide association data from five studies of European background.

    Directory of Open Access Journals (Sweden)

    Idan Menashe

    Full Text Available Pathway analysis of genome-wide association studies (GWAS offer a unique opportunity to collectively evaluate genetic variants with effects that are too small to be detected individually. We applied a pathway analysis to a bladder cancer GWAS containing data from 3,532 cases and 5,120 controls of European background (n = 5 studies. Thirteen hundred and ninety-nine pathways were drawn from five publicly available resources (Biocarta, Kegg, NCI-PID, HumanCyc, and Reactome, and we constructed 22 additional candidate pathways previously hypothesized to be related to bladder cancer. In total, 1421 pathways, 5647 genes and ∼90,000 SNPs were included in our study. Logistic regression model adjusting for age, sex, study, DNA source, and smoking status was used to assess the marginal trend effect of SNPs on bladder cancer risk. Two complementary pathway-based methods (gene-set enrichment analysis [GSEA], and adapted rank-truncated product [ARTP] were used to assess the enrichment of association signals within each pathway. Eighteen pathways were detected by either GSEA or ARTP at P≤0.01. To minimize false positives, we used the I(2 statistic to identify SNPs displaying heterogeneous effects across the five studies. After removing these SNPs, seven pathways ('Aromatic amine metabolism' [P(GSEA = 0.0100, P(ARTP = 0.0020], 'NAD biosynthesis' [P(GSEA = 0.0018, P(ARTP = 0.0086], 'NAD salvage' [P(ARTP = 0.0068], 'Clathrin derived vesicle budding' [P(ARTP = 0.0018], 'Lysosome vesicle biogenesis' [P(GSEA = 0.0023, P(ARTP<0.00012], 'Retrograde neurotrophin signaling' [P(GSEA = 0.00840], and 'Mitotic metaphase/anaphase transition' [P(GSEA = 0.0040] remained. These pathways seem to belong to three fundamental cellular processes (metabolic detoxification, mitosis, and clathrin-mediated vesicles. Identification of the aromatic amine metabolism pathway provides support for the ability of this approach to identify pathways

  5. Breast cancer susceptibility variants alter risk in familial ovarian cancer.

    Science.gov (United States)

    Latif, A; McBurney, H J; Roberts, S A; Lalloo, F; Howell, A; Evans, D G; Newman, W G

    2010-12-01

    Recent candidate gene and genome wide association studies have revealed novel loci associated with an increased risk of breast cancer. We evaluated the effect of these breast cancer associated variants on ovarian cancer risk in individuals with familial ovarian cancer both with and without BRCA1 or BRCA2 mutations. A total of 158 unrelated white British women (54 BRCA1/2 mutation positive and 104 BRCA1/2 mutation negative) with familial ovarian cancer were genotyped for FGFR2, TNRC9/TOX3 and CASP8 variants. The p.Asp302His CASP8 variant was associated with reduced ovarian cancer risk in the familial BRCA1/2 mutation negative ovarian cancer cases (P = 0.016). The synonymous TNRC9/TOX3 (Ser51) variant was present at a significantly lower frequency than in patients with familial BRCA1/2 positive breast cancer (P = 0.0002). Our results indicate that variants in CASP8 and TNRC9/TOX3 alter the risk of disease in individuals affected with familial ovarian cancer.

  6. Breast cancer

    Science.gov (United States)

    ... women: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med . 2014;160:271-281. PMID: 24366376 www.ncbi. ... Cancer: U.S. Preventive Services Task Force recommendation statement. Ann Intern Med . [Epub ahead of print 12 January 2016] doi: ...

  7. BREAST CANCER AND EXERCISE

    Science.gov (United States)

    2008-03-19

    Prevent Osteoporosis and Osteoporotic Fractures; Improve Quality of Life; Improve Weight Control, and Muscular and Cardiovascular Fitness; Help the Patients to Return to Working Life; Reduce the Risk of Breast Cancer Recurrence; Prevent Other Diseases and Reduce All-Cause Mortality in Patients With Primary Breast Cancer.

  8. Common variants at the 19p13.1 and ZNF365 loci are associated with ER subtypes of breast cancer and ovarian cancer risk in BRCA1 and BRCA2 mutation carriers

    NARCIS (Netherlands)

    F.J. Couch (Fergus); M.M. Gaudet (Mia); A.C. Antoniou (Antonis); S.J. Ramus (Susan); K.B. Kuchenbaecker (Karoline); P. Soucy (Penny); J. Beesley (Jonathan); X. Chen (Xiaoqing); X. Wang (Xing); T. Kircchoff (Tomas); L. McGuffog (Lesley); D. Barrowdale (Daniel); A. Lee (Andrew); S. Healey (Sue); O. Sinilnikova (Olga); I.L. Andrulis (Irene); H. Ozcelik (Hilmi); A.M. Mulligan (Anna Marie); M. Thomassen (Mads); A-M. Gerdes (Anne-Marie); U.B. Jensen; A.-B. Skytte (Anne-Bine); T.A. Kruse (Torben); M.A. Caligo (Maria); A. von Wachenfeldt (Anna); G. Barbany-Bustinza (Gisela); N. Loman (Niklas); M. Soller (Maria); H. Ehrencrona (Hans); P. Karlsson (Per); K.L. Nathanson (Katherine); R. Rebbeck (Timothy); S.M. Domchek (Susan); A. Jakubowska (Anna); J. Lubinski (Jan); K. Jaworska (Katarzyna); K. Durda (Katarzyna); E. Zołwocka (Elzbieta); T. Huzarski (Tomasz); T. Byrski (Tomasz); J. Gronwald (Jacek); C. Cybulski (Cezary); B. Górski (Bohdan); A. Osorio (Ana); M. Durán (Mercedes); M.I. Tejada; J. Benítez (Javier); U. Hamann (Ute); F.B.L. Hogervorst (Frans); T.A.M. van Os (Theo); F.E. van Leeuwen (Flora); E.J. Meijers-Heijboer (Hanne); J.T. Wijnen (Juul); M.J. Blok (Marinus); C.M. Kets; M.J. Hooning (Maartje); R.A. Oldenburg (Rogier); M.G.E.M. Ausems (Margreet); S. Peock (Susan); D. Frost (Debra); S.D. Ellis (Steve); R. Platte (Radka); E. Fineberg (Elena); D.G. Evans (Gareth); C. Jacobs (Chris); R. Eeles (Rosalind); J.W. Adlard (Julian); R. Davidson (Rosemarie); D. Eccles (Diana); T.J. Cole (Trevor); J. Cook (Jackie); J. Paterson (Joan); C. Brewer (Carole); F. Douglas (Fiona); S.V. Hodgson (Shirley); P.J. Morrison (Patrick); L.J. Walker (Lisa); M.E. Porteous (Mary); M.J. Kennedy (John); L. Side (Lucy); B. Bove (B.); A.K. Godwin (Andrew); D. Stoppa-Lyonnet (Dominique); M. Fassy-Colcombet (Marion); L. Castera (Laurent); F. Cornelis (Franco̧is); S. Mazoyer (Sylvie); M. Léone (Mélanie); N. Boutry-Kryza (N.); B. Bressac-de Paillerets (Brigitte); O. Caron (Olivier); P. Pujol (Pascal); I. Coupier (Isabelle); C.D. Delnatte (Capucine); L. Akloul (Linda); H. Lynch (Henry); C.L. Snyder (Carrie); S.S. Buys (Saundra); M.B. Daly (Mary); M.-B. Terry (Mary-Beth); W. Chung (Wendy); E.M. John (Esther); A. Miron (Alexander); M.C. Southey (Melissa); J.L. Hopper (John); D. Goldgar (David); C.F. Singer (Christian); C. Rappaport (Christine); M.-K. Tea; A. Fink-Retter (Anneliese); T.V.O. Hansen (Thomas); F.C. Nielsen (Finn); A. Arason (Adalgeir); J. Vijai (Joseph); S. Shah (Sonia); K. Sarrel (Kara); M. Robson (Mark); M. Piedmonte (Marion); K. Phillips (Kelly); J. Basil (Jack); W.S. Rubinstein (Wendy); J.F. Boggess (John); K. Wakeley (Katie); A. Ewart-Toland (Amanda); M. Montagna (Marco); S. Agata (Simona); E.N. Imyanitov (Evgeny); C. Isaacs (Claudine); R. Janavicius (Ramunas); C. Lazaro (Conxi); I. Blanco (Ignacio); L. Feliubadaló (L.); J. Brunet (Joan); S.A. Gayther (Simon); P.D.P. Pharoah (Paul); K. Odunsi (Kunle); B. Karlan; C.S. Walsh (Christine); E. Olah; S.-H. Teo; P.A. Ganz (Patricia); M.S. Beattie (Mary); E.J. van Rensburg (Elizabeth); C.M. Dorfling (Cecelia); O. Diez (Orland); A. Kwong (Ava); R.K. Schmutzler (Rita); B. Wapenschmidt (Barbara); C. Engel (Christoph); A. Meindl (Alfons); N. Ditsch (Nina); N. Arnold (Norbert); S. Heidemann (Simone); D. Niederacher (Dieter); S. Preisler-Adams (Sabine); D. Gadzicki (Dorothea); R. Varon-Mateeva (Raymonda); H. Deissler (Helmut); P.A. Gehrig (Paola A.); C. Sutter (Christian); K. Kast (Karin); B. Fiebig (Britta); W. Heinritz (Wolfram); T. Caldes (Trinidad); M. de La Hoya (Miguel); T.A. Muranen (Taru); H. Nevanlinna (Heli); M. Tischkowitz (Marc); A.B. Spurdle (Amanda); S.L. Neuhausen (Susan); Y.C. Ding (Yuan); N.M. Lindor (Noralane); Z. Fredericksen (Zachary); V.S. Pankratz (Shane); P. Peterlongo (Paolo); S. Manoukian (Siranoush); B. Peissel (Bernard); D. Zaffaroni (D.); M. Barile (Monica); L. Bernard (Loris); A. Viel (Alessandra); G. Giannini (Giuseppe); L. Varesco (Liliana); P. Radice (Paolo); M.H. Greene (Mark); P.L. Mai (Phuong); D.F. Easton (Douglas); G. Chenevix-Trench (Georgia); K. Offit (Kenneth); J. Simard (Jacques)

    2012-01-01

    textabstractBackground: Genome-wide association studies (GWAS) identified variants at 19p13.1 and ZNF365 (10q21.2) as risk factors for breast cancer among BRCA1 and BRCA2 mutation carriers, respectively. We explored associations with ovarian cancer and with breast cancer by tumor histopathology for

  9. Common variants at the 19p13.1 and ZNF365 loci are associated with ER subtypes of breast cancer and ovarian cancer risk in BRCA1 and BRCA2 mutation carriers

    DEFF Research Database (Denmark)

    Couch, Fergus J; Gaudet, Mia M; Antoniou, Antonis C

    2012-01-01

    Genome-wide association studies (GWAS) identified variants at 19p13.1 and ZNF365 (10q21.2) as risk factors for breast cancer among BRCA1 and BRCA2 mutation carriers, respectively. We explored associations with ovarian cancer and with breast cancer by tumor histopathology for these variants in mut...

  10. Common Variants at the 19p13.1 and ZNF365 Loci Are Associated with ER Subtypes of Breast Cancer and Ovarian Cancer Risk in BRCA1 and BRCA2 Mutation Carriers

    NARCIS (Netherlands)

    Couch, Fergus J.; Gaudet, Mia M.; Antoniou, Antonis C.; Ramus, Susan J.; Kuchenbaecker, Karoline B.; Soucy, Penny; Beesley, Jonathan; Chen, Xiaoqing; Wang, Xianshu; Kirchhoff, Tomas; McGuffog, Lesley; Barrowdale, Daniel; Lee, Andrew; Healey, Sue; Sinilnikova, Olga M.; Andrulis, Irene L.; Ozcelik, Hilmi; Mulligan, Anna Marie; Thomassen, Mads; Gerdes, Anne-Marie; Jensen, Uffe Birk; Skytte, Anne-Bine; Kruse, Torben A.; Caligo, Maria A.; von Wachenfeldt, Anna; Barbany-Bustinza, Gisela; Loman, Niklas; Soller, Maria; Ehrencrona, Hans; Karlsson, Per; Nathanson, Katherine L.; Rebbeck, Timothy R.; Domchek, Susan M.; Jakubowska, Ania; Lubinski, Jan; Jaworska, Katarzyna; Durda, Katarzyna; Zlowocka, Elzbieta; Huzarski, Tomasz; Byrski, Tomasz; Gronwald, Jacek; Cybulski, Cezary; Gorski, Bohdan; Osorio, Ana; Duran, Mercedes; Isabel Tejada, Maria; Benitez, Javier; Hamann, Ute; Hogervorst, Frans B. L.; van Os, Theo A.; van Leeuwen, Flora E.; Meijers-Heijboer, Hanne E. J.; Wijnen, Juul; Blok, Marinus J.; Kets, Marleen; Hooning, Maartje J.; Oldenburg, Rogier A.; Ausems, Margreet G. E. M.; Peock, Susan; Frost, Debra; Ellis, Steve D.; Platte, Radka; Fineberg, Elena; Evans, D. Gareth; Jacobs, Chris; Eeles, Rosalind A.; Adlard, Julian; Davidson, Rosemarie; Eccles, Diana M.; Cole, Trevor; Cook, Jackie; Paterson, Joan; Brewer, Carole; Douglas, Fiona; Hodgson, Shirley V.; Morrison, Patrick J.; Walker, Lisa; Porteous, Mary E.; Kennedy, M. John; Side, Lucy E.; Bove, Betsy; Godwin, Andrew K.; Stoppa-Lyonnet, Dominique; Fassy-Colcombet, Marion; Castera, Laurent; Cornelis, Francois; Mazoyer, Sylvie; Leone, Melanie; Boutry-Kryza, Nadia; Bressac-de Paillerets, Brigitte; Caron, Olivier; Pujol, Pascal; Coupier, Isabelle; Delnatte, Capucine; Akloul, Linda; Lynch, Henry T.; Snyder, Carrie L.; Buys, Saundra S.; Daly, Mary B.; Terry, MaryBeth; Chung, Wendy K.; John, Esther M.; Miron, Alexander; Southey, Melissa C.; Hopper, John L.; Goldgar, David E.; Singer, Christian F.; Rappaport, Christine; Tea, Muy-Kheng M.; Fink-Retter, Anneliese; Hansen, Thomas V. O.; Nielsen, Finn C.; Arason, Adalgeir; Vijai, Joseph; Shah, Sohela; Sarrel, Kara; Robson, Mark E.; Piedmonte, Marion; Phillips, Kelly; Basil, Jack; Rubinstein, Wendy S.; Boggess, John; Wakeley, Katie; Ewart-Toland, Amanda; Montagna, Marco; Agata, Simona; Imyanitov, Evgeny N.; Isaacs, Claudine; Janavicius, Ramunas; Lazaro, Conxi; Blanco, Ignacio; Feliubadalo, Lidia; Brunet, Joan; Gayther, Simon A.; Pharoah, Paul P. D.; Odunsi, Kunle O.; Karlan, Beth Y.; Walsh, Christine S.; Olah, Edith; Teo, Soo Hwang; Ganz, Patricia A.; Beattie, Mary S.; van Rensburg, Elizabeth J.; Dorfling, Cecelia M.; Diez, Orland; Kwong, Ava; Schmutzler, Rita K.; Wappenschmidt, Barbara; Engel, Christoph; Meindl, Alfons; Ditsch, Nina; Arnold, Norbert; Heidemann, Simone; Niederacher, Dieter; Preisler-Adams, Sabine; Gadzicki, Dorothea; Varon-Mateeva, Raymonda; Deissler, Helmut; Gehrig, Andrea; Sutter, Christian; Kast, Karin; Fiebig, Britta; Heinritz, Wolfram; Caldes, Trinidad; de la Hoya, Miguel; Muranen, Taru A.; Nevanlinna, Heli; Tischkowitz, Marcd.; Spurdle, Amanda B.; Neuhausen, Susan L.; Ding, Yuan Chun; Lindor, Noralane M.; Fredericksen, Zachary; Pankratz, V. Shane; Peterlongo, Paolo; Manoukian, Siranoush; Peissel, Bernard; Zaffaroni, Daniela; Barile, Monica; Bernard, Loris; Viel, Alessandra; Giannini, Giuseppe; Varesco, Liliana; Radice, Paolo; Greene, Mark H.; Mai, Phuong L.; Easton, Douglas F.; Chenevix-Trench, Georgia; Offit, Kenneth; Simard, Jacques

    2012-01-01

    Background: Genome-wide association studies (GWAS) identified variants at 19p13.1 and ZNF365 (10q21.2) as risk factors for breast cancer among BRCA1 and BRCA2 mutation carriers, respectively. We explored associations with ovarian cancer and with breast cancer by tumor histopathology for these varian

  11. Common variants at the 19p13.1 and ZNF365 loci are associated with ER subtypes of breast cancer and ovarian cancer risk in BRCA1 and BRCA2 mutation carriers

    NARCIS (Netherlands)

    Couch, F.J.; Gaudet, M.M.; Antoniou, A.C.; Ramus, S.J.; Kuchenbaecker, K.B.; Soucy, P.; Beesley, J.; Chen, X.; Wang, X.; Kirchhoff, T.; McGuffog, L.; Barrowdale, D.; Lee, A.; Healey, S.; Sinilnikova, O.M.; Andrulis, I.L.; Ocgn, .; Ozcelik, H.; Mulligan, A.M.; Thomassen, M.; Gerdes, A.M.; Jensen, U.B.; Skytte, A.B.; Kruse, T.A.; Caligo, M.A.; Wachenfeldt, A. von; Barbany-Bustinza, G.; Loman, N.; Soller, M.; Ehrencrona, H.; Karlsson, P.; Swe, B.; Nathanson, K.L.; Rebbeck, T.R.; Domchek, S.M.; Jakubowska, A.; Lubinski, J.; Jaworska, K.; Durda, K.; Zlowocka, E.; Huzarski, T.; Byrski, T.; Gronwald, J.; Cybulski, C.; Gorski, B.; Osorio, A.; Duran, M.; Tejada, M.I.; Benitez, J.; Hamann, U.; Hogervorst, F.B.; Hebon, .; Os, T.A. van; Leeuwen, F.E. van; Meijers-Heijboer, H.E.; Wijnen, J.; Blok, M.J.; Kets, M.; Hooning, M.J.; Oldenburg, R.A.; Ausems, M.G.; Peock, S.; Frost, D.; Ellis, S.D.; Platte, R.; Fineberg, E.; Evans, D.G.; Jacobs, C.; Eeles, R.A.; Adlard, J.; Davidson, R.; Eccles, D.M.; Cole, T.; Cook, J.; Paterson, J.; Brewer, C.; Douglas, F.; Hodgson, S.V.; Morrison, P.J.; Walker, L.; Porteous, M.E.; Kennedy, M.J.; Side, L.E.; Embrace, .; Bove, B.; Godwin, A.K.; Stoppa-Lyonnet, D.; Collaborators, G.S.; Fassy-Colcombet, M.; Castera, L.; Cornelis, F.; Mazoyer, S.; Leone, M.; Boutry-Kryza, N.; Bressac-de Paillerets, B.; Caron, O.; Pujol, P.; Coupier, I.; Delnatte, C.; Akloul, L.; Ligtenberg, M.J.; Hoogerbrugge, N.

    2012-01-01

    BACKGROUND: Genome-wide association studies (GWAS) identified variants at 19p13.1 and ZNF365 (10q21.2) as risk factors for breast cancer among BRCA1 and BRCA2 mutation carriers, respectively. We explored associations with ovarian cancer and with breast cancer by tumor histopathology for these varian

  12. CDC Vital Signs: Breast Cancer

    Science.gov (United States)

    ... 2.65 MB] Read the MMWR Science Clips Breast Cancer Black Women Have Higher Death Rates from Breast ... of Page U.S. State Info Number of Additional Breast Cancer Deaths Among Black Women, By State SOURCE: National ...

  13. Breast Cancer and Bone Loss

    Science.gov (United States)

    ... Balance › Breast Cancer and Bone Loss Fact Sheet Breast Cancer and Bone Loss July, 2010 Download PDFs English ... JoAnn Pinkerton, MD What is the link between breast cancer and bone loss? Certain treatments for breast cancer ...

  14. Tissue specific DNA methylation in normal human breast epithelium and in breast cancer.

    Science.gov (United States)

    Avraham, Ayelet; Cho, Sean Soonweng; Uhlmann, Ronit; Polak, Mia Leonov; Sandbank, Judith; Karni, Tami; Pappo, Itzhak; Halperin, Ruvit; Vaknin, Zvi; Sella, Avishay; Sukumar, Saraswati; Evron, Ella

    2014-01-01

    Cancer is a heterogeneous and tissue-specific disease. Thus, the tissue of origin reflects on the natural history of the disease and dictates the therapeutic approach. It is suggested that tissue differentiation, mediated mostly by epigenetic modifications, could guide tissue-specific susceptibility and protective mechanisms against cancer. Here we studied breast specific methylation in purified normal epithelium and its reflection in breast cancers. We established genome wide methylation profiles of various normal epithelial tissues and identified 110 genes that were differentially methylated in normal breast epithelium. A number of these genes also showed methylation alterations in breast cancers. We elaborated on one of them, TRIM29 (ATDC), and showed that its promoter was hypo-methylated in normal breast epithelium and heavily methylated in other normal epithelial tissues. Moreover, in breast carcinomas methylation increased and expression decreased whereas the reverse was noted for multiple other carcinomas. Interestingly, TRIM29 regulation in breast tumors clustered according to the PAM50 classification. Thus, it was repressed in the estrogen receptor positive tumors, particularly in the more proliferative luminal B subtype. This goes in line with previous reports indicating tumor suppressive activity of TRIM29 in estrogen receptor positive luminal breast cells in contrast to oncogenic function in pancreatic and lung cancers. Overall, these findings emphasize the linkage between breast specific epigenetic regulation and tissue specificity of cancer.

  15. Impact of gene dosage on gene expression, biological processes and survival in cervical cancer: a genome-wide follow-up study.

    Science.gov (United States)

    Medina-Martinez, Ingrid; Barrón, Valeria; Roman-Bassaure, Edgar; Juárez-Torres, Eligia; Guardado-Estrada, Mariano; Espinosa, Ana María; Bermudez, Miriam; Fernández, Fernando; Venegas-Vega, Carlos; Orozco, Lorena; Zenteno, Edgar; Kofman, Susana; Berumen, Jaime

    2014-01-01

    We investigated the role of tumor copy number (CN)-altered genome (CN-AG) in the carcinogenesis of cervical cancer (CC), especially its effect on gene expression, biological processes, and patient survival. Fifty-nine human papillomavirus 16 (HPV16)-positive CCs were investigated with microarrays-31 for mapping CN-AG and 55 for global gene expression, with 27 CCs in common. Five-year survival was investigated in 55 patients. Deletions and amplifications >2.5 Mb were defined as CN alterations. The %CN-AG varied from 0 to 32.2% (mean = 8.1±8.9). Tumors were classified as low (mean = 0.5±0.6, n = 11), medium (mean = 5.4±2.4, n = 10), or high (mean = 19.2±6.6, n = 10) CN. The highest %CN-AG was found in 3q, which contributed an average of 55% of all CN alterations. Genome-wide, only 5.3% of CN-altered genes were deregulated directly by gene dosage. In contrast, the rate in fully duplicated 3q was twice as high. Amplification of 3q explained 23.2% of deregulated genes in whole tumors (r2 = 0.232, p = 0.006; analysis of variance), including genes located in 3q and other chromosomes. A total of 862 genes were deregulated exclusively in high-CN tumors, but only 22.9% were CN altered. This suggests that the remaining genes are not deregulated directly by gene dosage, but by mechanisms induced in trans by CN-altered genes. Anaphase-promoting complex/cyclosome (APC/C)-dependent proteasome proteolysis, glycolysis, and apoptosis were upregulated, whereas cell adhesion and angiogenesis were downregulated exclusively in high-CN tumors. The high %CN-AG and upregulated gene expression profile of APC/C-dependent proteasome proteolysis were associated with poor patient survival (p0.38, p<0.01, Spearman test). Therefore, inhibition of APC/C-dependent proteasome proteolysis and glycolysis could be useful for CC treatment. However, whether they are indispensable for tumor growth remains to be demonstrated.

  16. Impact of gene dosage on gene expression, biological processes and survival in cervical cancer: a genome-wide follow-up study.

    Directory of Open Access Journals (Sweden)

    Ingrid Medina-Martinez

    Full Text Available We investigated the role of tumor copy number (CN-altered genome (CN-AG in the carcinogenesis of cervical cancer (CC, especially its effect on gene expression, biological processes, and patient survival. Fifty-nine human papillomavirus 16 (HPV16-positive CCs were investigated with microarrays-31 for mapping CN-AG and 55 for global gene expression, with 27 CCs in common. Five-year survival was investigated in 55 patients. Deletions and amplifications >2.5 Mb were defined as CN alterations. The %CN-AG varied from 0 to 32.2% (mean = 8.1±8.9. Tumors were classified as low (mean = 0.5±0.6, n = 11, medium (mean = 5.4±2.4, n = 10, or high (mean = 19.2±6.6, n = 10 CN. The highest %CN-AG was found in 3q, which contributed an average of 55% of all CN alterations. Genome-wide, only 5.3% of CN-altered genes were deregulated directly by gene dosage. In contrast, the rate in fully duplicated 3q was twice as high. Amplification of 3q explained 23.2% of deregulated genes in whole tumors (r2 = 0.232, p = 0.006; analysis of variance, including genes located in 3q and other chromosomes. A total of 862 genes were deregulated exclusively in high-CN tumors, but only 22.9% were CN altered. This suggests that the remaining genes are not deregulated directly by gene dosage, but by mechanisms induced in trans by CN-altered genes. Anaphase-promoting complex/cyclosome (APC/C-dependent proteasome proteolysis, glycolysis, and apoptosis were upregulated, whereas cell adhesion and angiogenesis were downregulated exclusively in high-CN tumors. The high %CN-AG and upregulated gene expression profile of APC/C-dependent proteasome proteolysis were associated with poor patient survival (p0.38, p<0.01, Spearman test. Therefore, inhibition of APC/C-dependent proteasome proteolysis and glycolysis could be useful for CC treatment. However, whether they are indispensable for tumor growth remains to be demonstrated.

  17. Association of breast cancer risk with genetic variants showing differential allelic expression

    DEFF Research Database (Denmark)

    Hamdi, Yosr; Soucy, Penny; Adoue, Véronique

    2016-01-01

    in the Breast Cancer Association Consortium. The associations were evaluated with overall breast cancer risk and with estrogen receptor negative and positive disease. One novel breast cancer susceptibility locus on 4q21 (rs11099601) was identified (OR = 1.05, P = 5.6x10-6). rs11099601 lies in a 135 kb linkage...... candidates for further investigation as disease-causing variants. To investigate whether common variants associated with differential allelic expression were involved in breast cancer susceptibility, a list of genes was established on the basis of their involvement in cancer related pathways and....../or mechanisms. Thereafter, using data from a genome-wide map of allelic expression associated SNPs, 313 genetic variants were selected and their association with breast cancer risk was then evaluated in 46,451 breast cancer cases and 42,599 controls of European ancestry ascertained from 41 studies participating...

  18. Breast Cancer in Young Women

    Science.gov (United States)

    ... NPCR 2017 CDC National Cancer Conference Stay Informed Breast Cancer in Young Women Recommend on Facebook Tweet Share Compartir Syndicate this page Marleah's family history of breast cancer was her motivation for pursuing a career where ...

  19. Breast Cancer In Women

    Science.gov (United States)

    This infographic shows the Breast Cancer Subtypes in Women. It’s important for guiding treatment and predicting survival. Know the Science: HR = Hormone receptor. HR+ means tumor cells have receptors for the hormones estrogen or progesterone, which can promote the growth of HR+ tumors. Hormone therapies like tamoxifen can be used to treat HR+ tumors. HER2 = Human epidermal growth Factor receptor, HER2+ means tumor cells overexpress (make high levels of) a protein, called HE2/neu, which has been shown to be associated with certain aggressive types of breast cancer. Trastuzumab and some other therapies can target cells that overexpress HER2. HR+/HER2, aka “LuminalA”. 73% of all breast cancer cases: best prognosis, most common subtype for every race, age, and poverty level. HR-/HER2, aka “Triple Negative”: 13% of all breast cancer cases, Worst prognosis, Non-Hispanic blacks have the highest rate of this subtype at every age and poverty level. HR+/HER2+, aka “Luminal B”, 10% of all breast cancer cases, little geographic variation by state. HR-/HER2+, aka”HER2-enriched”, 5% of all breast cancer cases, lowest rates for all races and ethnicities. www.cancer.gov Source: Special section of the Annual Report to the Nation on the Status of Cancer, 1975-2011.

  20. Common alleles at 6q25.1 and 1p11.2 are associated with breast cancer risk for BRCA1 and BRCA2 mutation carriers

    NARCIS (Netherlands)

    A.C. Antoniou (Antonis); C. Kartsonaki (Christiana); O. Sinilnikova (Olga); P. Soucy (Penny); L. McGuffog (Lesley); S. Healey (Sue); A. Lee (Andrew); P. Peterlongo (Paolo); S. Manoukian (Siranoush); B. Peissel (Bernard); D. Zaffaroni (D.); E. Cattaneo (Elisa); M. Barile (Monica); V. Pensotti (Valeria); B. Pasini (Barbara); R. Dolcetti (Riccardo); G. Giannini (Giuseppe); A.L. Putignano; L. Varesco (Liliana); P. Radice (Paolo); P.L. Mai (Phuong); M.H. Greene (Mark); I.L. Andrulis (Irene); G. Glendon (Gord); H. Ozcelik (Hilmi); M. Thomassen (Mads); A-M. Gerdes (Anne-Marie); T.A. Kruse (Torben); U.B. Jensen; D. Cruger (Dorthe); M.A. Caligo (Maria); Y. Laitman (Yael); R. Milgrom (Roni); B. Kaufman (Bella); S. Paluch-Shimon (Shani); E. Friedman (Eitan); N. Loman (Niklas); K. Harbst (Katja); A. Lindblom (Annika); B. Melin (Beatrice); K.L. Nathanson (Katherine); S.M. Domchek (Susan); R. Rebbeck (Timothy); A. Jakubowska (Anna); J. Lubinski (Jan); J. Gronwald (Jacek); T. Huzarski (Tomasz); T. Byrski (Tomasz); C. Cybulski (Cezary); B. Górski (Bohdan); A. Osorio (Ana); T.R. Cajal; F. Fostira (Florentia); R. Andres (Raquel); J. Benitez (Javier); U. Hamann (Ute); F.B.L. Hogervorst (Frans); M.A. Rookus (Matti); M.J. Hooning (Maartje); M.R. Nelen (Marcel); R.B. van der Luijt (Rob); T.A.M. van Os (Theo); C.J. van Asperen (Christi); P. Devilee (Peter); H. Meijers-Heijboer (Hanne); E.B.G. Garcia; S. Peock (Susan); M. Cook (Margaret); D. Frost; R. Platte (Radka); J. Leyland (Jean); D.G. Evans (Gareth); F. Lalloo (Fiona); R. Eeles (Rosalind); L. Izatt (Louise); R. Davidson (Rosemarie); D. Eccles (Diana); K.-R. Ong; F. Douglas (Fiona); J. Paterson (Joan); M.J. Kennedy (John); Z. Miedzybrodzka (Zosia); A.K. Godwin (Andrew); D. Stoppa-Lyonnet (Dominique); B. Buecher (Bruno); M. Belotti (Muriel); C. Tirapo (Carole); S. Mazoyer (Sylvie); L. Barjhoux (Laure); C. Lasset (Christine); D. Leroux (Dominique); L. Faivre (Laurence); M. Bronner (Myriam); F. Prieur (Fabienne); C. Nogues (Catherine); E. Rouleau (Etienne); P. Pujol (Pascal); I. Coupier (Isabelle); M. Frenay (Marc); J. Hopper (John); M.J. Daly (Mark); M-B. Terry (Mary-beth); E.M. John (Esther); S.S. Buys (Saundra); Y. Yassin (Yosuf); A. Miron (Alexander); D. Goldgar (David); C.F. Singer (Christian); M.-K. Tea; G. Pfeiler (Georg); C. Dressler (Catherina); T.V.O. Hansen (Thomas); L. Jønson (Lars); B. Ejlertsen (Bent); R.B. Barkardottir (Rosa); T. Kircchoff (Tomas); K. Offit (Kenneth); M. Piedmonte (Marion); G.C. Rodriguez (Gustavo); L. Small (Laurie); J.F. Boggess (John); S.V. Blank (Stephanie); J. Basil (Jack); M. Azodi (Masoud); A.E. Toland (Amanda); M. Montagna (Marco); S. Tognazzo (Silvia); S. Agata (Simona); E.N. Imyanitov (Evgeny); R. Janavicius (Ramunas); C. Lazaro (Conxi); I. Blanco (Ignacio); P.D.P. Pharoah (Paul); L. Sucheston (Lara); B.Y. Karlan (Beth); C.S. Walsh (Christine); E. Olah (Edith); A. Bozsik (Aniko); S.-H. Teo; J.L. Seldon (Joyce); M.S. Beattie (Mary); E.J. van Rensburg (Elizabeth); M.D. Sluiter (Michelle); O. Diez (Orland); R.K. Schmutzler (Rita); B. Wapenschmidt (Barbara); C. Engel (Christoph); A. Meindl (Alfons); I. Ruehl (Ina); R. Varon-Mateeva (Raymonda); K. Kast (Karin); H. Deissler (Helmut); D. Niederacher (Dieter); N. Arnold (Norbert); D. Gadzicki (Dorothea); I. Schönbuchner (Ines); T. Caldes (Trinidad); M. de La Hoya (Miguel); H. Nevanlinna (Heli); K. Aittomäki (Kristiina); M. Dumont (Martine); J. Chiquette (Jocelyne); M. Tischkowitz (Marc); G. Chenevix-Trench (Georgia); J. Beesley (Jonathan); A.B. Spurdle (Amanda); S.L. Neuhausen (Susan); Y.C. Ding (Yuan); Z. Fredericksen (Zachary); X. Wang (Xing); V.S. Pankratz (Shane); F.J. Couch (Fergus); J. Simard (Jacques); D.F. Easton (Douglas); G. Chenevix-Trench (Georgia); P. Karlsson (Per); M. Nordling (Margareta); A. Bergman (Annika); Z. Einbeigi (Zakaria); M. Stenmark-Askmalm (M.); S. Liedgren (Sigrun); Å. Borg (Åke); H. Olsson (Hans); U. Kristoffersson (Ulf); H. Jernström (H.); K. Henriksson (Karin); A. von Wachenfeldt (Anna); A. Liljegren (Annelie); G. Barbany-Bustinza (Gisela); J. Rantala (Johanna); H. Grönberg (Henrik); E.-L. Stattin; M. Emanuelsson (Monica); R.R. Brandell; N. Dahl (Niklas); S. Verhoef; M. Verheus (Martijn); L.J. van 't Veer (Laura); F.E. van Leeuwen; J.M. Collee (Margriet); A.M.W. van den Ouweland (Ans); A. Jager (Agnes); M.M.A. Tilanus-Linthorst (Madeleine); C.M. Seynaeve (Caroline); J.T. Wijnen (Juul); M.P. Vreeswijk (Maaike); R.A.E.M. Tollenaar (Rob); M.J. Ligtenberg (Marjolijn); N. Hoogerbrugge (Nicoline); M.G.E.M. Ausems (Margreet); C.M. Aalfs (Cora); J.J.P. Gille (Jan); Q. Waisfisz (Quinten); E.B. Gómez García (Encarna); C.E. van Roozendaal (Cees); M.J. Blok (Marinus); B. Caanen; J.C. Oosterwijk; A.H. van der Hout (Annemarie); M.J. Mourits; H.F. Vasen (Hans); H. Gregory (Helen); P.J. Morrison (Patrick); L. Jeffers (Lisa); T.J. Cole (Trevor); C. McKeown (Carole); J. Hoffman (Jonathan); A. Donaldson (Alan); S. Downing (Sarah); A. Taylor (Amy); A. Murray (Alexandra); M.T. Rogers (Mark); E. McCann (Emma); M.E. Porteous (Mary); S. Drummond (Sarah); C. Brewer (Carole); E. Kivuva (Emma); A. Searle (Anne); S. Goodman (Selina); K. Hill (Kathryn); V. Murday (Victoria); N. Bradshaw (Nicola); L. Snadden (Lesley); M. Longmuir (Mark); C. Watt (Catherine); S. Gibson (Sarah); E. Haque (Eshika); E. Tobias (Ed); A. Duncan (Alexis); C. Jacobs (Chris); C. Langman (Caroline); A. Whaite (Anna); H. Dorkins (Huw); J. Barwell (Julian); C. Chu (Chengbin); J. Miller (Julie); I.O. Ellis (Ian); C. Houghton (Catherine); L. Side (Lucy); A. Male (Alison); C. Berlin (Cheryl); J. Eason (Jacqueline); R. Collier (Rebecca); O. Claber (Oonagh); I. Jobson (Irene); L.J. Walker (Lisa); D. McLeod (Diane); D. Halliday (Dorothy); S. Durell (Sarah); B. Stayner (Barbara); S. Shanley (Susan); N. Rahman (Nazneen); R. Houlston (Richard); E. Bancroft (Elizabeth); L. D'Mello (Lucia); E. Page (Elizabeth); A. Ardern-Jones (Audrey); K. Kohut (Kelly); J. Wiggins (Jennifer); E. Castro (Elena); A. Mitra (Anita); L. Robertson (Lisa); O. Quarrell (Oliver); C. Bardsley (Cathryn); H. Ehrencrona (Hans); S.V. Hodgson (Shirley); D.E. Barton (David); S. Goff (Sheila); G. Brice (Glen); L. Winchester (Lizzie); C. Eddy (Charlotte); V. Tripathi (Vishakha); V. Attard (Virginia); A. Lucassen (Anneke); G. Crawford (Gillian); D. McBride (Donna); S. Smalley (Sarah); J.W. Adlard (Julian); B. Arver (Brita Wasteson)

    2011-01-01

    textabstractTwo single nucleotide polymorphisms (SNPs) at 6q25.1, near the ESR1 gene, have been implicated in the susceptibility to breast cancer for Asian (rs2046210) and European women (rs9397435). A genome-wide association study in Europeans identified two further breast cancer susceptibility var

  1. Common alleles at 6q25.1 and 1p11.2 are associated with breast cancer risk for BRCA1 and BRCA2 mutation carriers

    DEFF Research Database (Denmark)

    Antoniou, Antonis C; Kartsonaki, Christiana; Sinilnikova, Olga M

    2011-01-01

    Two single nucleotide polymorphisms (SNPs) at 6q25.1, near the ESR1 gene, have been implicated in the susceptibility to breast cancer for Asian (rs2046210) and European women (rs9397435). A genome-wide association study in Europeans identified two further breast cancer susceptibility variants: rs...... to a better understanding of the biology of tumour development in these women....

  2. Common alleles at 6q25.1 and 1p11.2 are associated with breast cancer risk for BRCA1 and BRCA2 mutation carriers

    NARCIS (Netherlands)

    Antoniou, Antonis C.; Kartsonaki, Christiana; Sinilnikova, Olga M.; Soucy, Penny; McGuffog, Lesley; Healey, Sue; Lee, Andrew; Peterlongo, Paolo; Manoukian, Siranoush; Peissel, Bernard; Zaffaroni, Daniela; Cattaneo, Elisa; Barile, Monica; Pensotti, Valeria; Pasini, Barbara; Dolcetti, Riccardo; Giannini, Giuseppe; Putignano, Anna Laura; Varesco, Liliana; Radice, Paolo; Mai, Phuong L.; Greene, Mark H.; Andrulis, Irene L.; Glendon, Gord; Ozcelik, Hilmi; Thomassen, Mads; Gerdes, Anne-Marie; Kruse, Torben A.; Jensen, Uffe Birk; Crueger, Dorthe G.; Caligo, Maria A.; Laitman, Yael; Milgrom, Roni; Kaufman, Bella; Paluch-Shimon, Shani; Friedman, Eitan; Loman, Niklas; Harbst, Katja; Lindblom, Annika; Arver, Brita; Ehrencrona, Hans; Melin, Beatrice; Nathanson, Katherine L.; Domchek, Susan M.; Rebbeck, Timothy; Jakubowska, Ania; Lubinski, Jan; Gronwald, Jacek; Huzarski, Tomasz; Byrski, Tomasz; Cybulski, Cezary; Gorski, Bohdan; Osorio, Ana; Ramon y Cajal, Teresa; Fostira, Florentia; Andres, Raquel; Benitez, Javier; Hamann, Ute; Hogervorst, Frans B.; Rookus, Matti A.; Hooning, Maartje J.; Nelen, Marcel R.; van der Luijt, Rob B.; van Os, Theo A. M.; van Asperen, Christi J.; Devilee, Peter; Meijers-Heijboer, Hanne E. J.; Garcia, Encarna B. Gomez; Peock, Susan; Cook, Margaret; Frost, Debra; Platte, Radka; Leyland, Jean; Evans, D. Gareth; Lalloo, Fiona; Eeles, Ros; Izatt, Louise; Adlard, Julian; Davidson, Rosemarie; Eccles, Diana; Ong, Kai-ren; Cook, Jackie; Douglas, Fiona; Paterson, Joan; Kennedy, M. John; Miedzybrodzka, Zosia; Godwin, Andrew; Stoppa-Lyonnet, Dominique; Buecher, Bruno; Belotti, Muriel; Tirapo, Carole; Mazoyer, Sylvie; Barjhoux, Laure; Lasset, Christine; Leroux, Dominique; Faivre, Laurence; Bronner, Myriam; Prieur, Fabienne; Nogues, Catherine; Rouleau, Etienne; Pujol, Pascal; Coupier, Isabelle; Frenay, Marc; Hopper, John L.; Daly, Mary B.; Terry, Mary B.; John, Esther M.; Buys, Saundra S.; Yassin, Yosuf; Miron, Alexander; Goldgar, David; Singer, Christian F.; Tea, Muy-Kheng; Pfeiler, Georg; Dressler, Anne Catharina; Hansen, Thomas v. O.; Jonson, Lars; Ejlertsen, Bent; Barkardottir, Rosa Bjork; Kirchhoff, Tomas; Offit, Kenneth; Piedmonte, Marion; Rodriguez, Gustavo; Small, Laurie; Boggess, John; Blank, Stephanie; Basil, Jack; Azodi, Masoud; Toland, Amanda Ewart; Montagna, Marco; Tognazzo, Silvia; Agata, Simona; Imyanitov, Evgeny; Janavicius, Ramunas; Lazaro, Conxi; Blanco, Ignacio; Pharoah, Paul D. P.; Sucheston, Lara; Karlan, Beth Y.; Walsh, Christine S.; Olah, Edith; Bozsik, Aniko; Teo, Soo-Hwang; Seldon, Joyce L.; Beattie, Mary S.; van Rensburg, Elizabeth J.; Sluiter, Michelle D.; Diez, Orland; Schmutzler, Rita K.; Wappenschmidt, Barbara; Engel, Christoph; Meindl, Alfons; Ruehl, Ina; Varon-Mateeva, Raymonda; Kast, Karin; Deissler, Helmut; Niederacher, Dieter; Arnold, Norbert; Gadzicki, Dorothea; Schoenbuchner, Ines; Caldes, Trinidad; de la Hoya, Miguel; Nevanlinna, Heli; Aittomaki, Kristiina; Dumont, Martine; Chiquette, Jocelyne; Tischkowitz, Marc; Chen, Xiaoqing; Beesley, Jonathan; Spurdle, Amanda B.; Neuhausen, Susan L.; Ding, Yuan Chun; Fredericksen, Zachary; Wang, Xianshu; Pankratz, Vernon S.; Couch, Fergus; Simard, Jacques; Easton, Douglas F.; Chenevix-Trench, Georgia

    2011-01-01

    Two single nucleotide polymorphisms (SNPs) at 6q25.1, near the ESR1 gene, have been implicated in the susceptibility to breast cancer for Asian (rs2046210) and European women (rs9397435). A genome-wide association study in Europeans identified two further breast cancer susceptibility variants: rs112

  3. Evaluation of chromosome 6p22 as a breast cancer risk modifier locus in a follow-up study of BRCA2 mutation carriers

    DEFF Research Database (Denmark)

    Stevens, Kristen N; Wang, Xianshu; Fredericksen, Zachary;

    2012-01-01

    Several common germline variants identified through genome-wide association studies of breast cancer risk in the general population have recently been shown to be associated with breast cancer risk for BRCA1 and/or BRCA2 mutation carriers. When combined, these variants can identify marked differe...

  4. Common variants in LSP1, 2q35 and 8q24 and breast cancer risk for BRCA1 and BRCA2 mutation carriers

    NARCIS (Netherlands)

    Antoniou, Antonis C.; Sinilnikova, Olga M.; McGuffog, Lesley; Healey, Sue; Nevanlinna, Heli; Heikkinen, Tuomas; Simard, Jacques; Spurdle, Amanda B.; Beesley, Jonathan; Chen, Xiaoqing; Neuhausen, Susan L.; Ding, Yuan C.; Couch, Fergus J.; Wang, Xianshu; Fredericksen, Zachary; Peterlongo, Paolo; Peissel, Bernard; Bonanni, Bernardo; Viel, Alessandra; Bernard, Loris; Radice, Paolo; Szabo, Csilla I.; Foretova, Lenka; Zikan, Michal; Claes, Kathleen; Greene, Mark H.; Mai, Phuong L.; Rennert, Gad; Lejbkowicz, Flavio; Andrulis, Irene L.; Ozcelik, Hilmi; Glendon, Gord; Gerdes, Anne-Marie; Thomassen, Mads; Sunde, Lone; Caligo, Maria A.; Laitman, Yael; Kontorovich, Tair; Cohen, Shimrit; Kaufman, Bella; Dagan, Efrat; Baruch, Ruth Gershoni; Friedman, Eitan; Harbst, Katja; Barbany-Bustinza, Gisela; Rantala, Johanna; Ehrencrona, Hans; Karlsson, Per; Domchek, Susan M.; Nathanson, Katherine L.; Osorio, Ana; Blanco, Ignacio; Lasa, Adriana; Benitez, Javier; Hamann, Ute; Hogervorst, Frans B. L.; Rookus, Matti A.; Collee, J. Margriet; Devilee, Peter; Ligtenberg, Marjolijn J.; van der Luijt, Rob B.; Aalfs, Cora M.; Waisfisz, Quinten; Wijnen, Juul; van Roozendaal, Cornelis E. P.; Peock, Susan; Cook, Margaret; Frost, Debra; Oliver, Clare; Platte, Radka; Evans, D. Gareth; Lalloo, Fiona; Eeles, Rosalind; Izatt, Louise; Davidson, Rosemarie; Chu, Carol; Eccles, Diana; Cole, Trevor; Hodgson, Shirley; Godwin, Andrew K.; Stoppa-Lyonnet, Dominique; Buecher, Bruno; Leone, Melanie; Bressac-de Paillerets, Brigitte; Remenieras, Audrey; Caron, Olivier; Lenoir, Gilbert M.; Sevenet, Nicolas; Longy, Michel; Ferrer, Sandra Fert; Prieur, Fabienne; Goldgar, David; Miron, Alexander; John, Esther M.; Buys, Saundra S.; Daly, Mary B.; Hopper, John L.; Terry, Mary Beth; Yassin, Yosuf; Singer, Christian; Gschwantler-Kaulich, Daphne; Staudigl, Christine; Hansen, Thomas V. O.; Barkardottir, Rosa Bjork; Kirchhoff, Tomas; Pal, Prodipto; Kosarin, Kristi; Offit, Kenneth; Piedmonte, Marion; Rodriguez, Gustavo C.; Wakeley, Katie; Boggess, John F.; Basil, Jack; Schwartz, Peter E.; Blank, Stephanie V.; Toland, Amanda E.; Montagna, Marco; Casella, Cinzia; Imyanitov, Evgeny N.; Allavena, Anna; Schmutzler, Rita K.; Versmold, Beatrix; Engel, Christoph; Meindl, Alfons; Ditsch, Nina; Arnold, Norbert; Niederacher, Dieter; Deissler, Helmut; Fiebig, Britta; Suttner, Christian; Schoenbuchner, Ines; Gadzicki, Dorothea; Caldes, Trinidad; de la Hoya, Miguel; Pooley, Karen A.; Easton, Douglas F.; Chenevix-Trench, Georgia

    2009-01-01

    Genome-wide association studies of breast cancer have identified multiple single nucleotide polymorphisms (SNPs) that are associated with increased breast cancer risks in the general population. In a previous study, we demonstrated that the minor alleles at three of these SNPs, in FGFR2, TNRC9 and M

  5. Fine-scale mapping of the 5q11.2 breast cancer locus reveals at least three independent risk variants regulating MAP3K1

    NARCIS (Netherlands)

    D.M. Glubb (Dylan); M. Maranian (Melanie); K. Michailidou (Kyriaki); K.A. Pooley (Karen); K.B. Meyer (Kerstin); S. Kar (Siddhartha); A.F.C. Carlebur; M. O'Reilly (Marian); J.A. Betts (Joshua); K.M. Hillman (Kristine); S. Kaufmann (Susanne); J. Beesley (Jonathan); S. Canisius (Sander); J.L. Hopper (John); M.C. Southey (Melissa); H. Tsimiklis (Helen); C. Apicella (Carmel); M.K. Schmidt (Marjanka); A. Broeks (Annegien); F.B.L. Hogervorst (Frans); C.E. van der Schoot (Ellen); K.R. Muir (K.); A. Lophatananon (Artitaya); S. Stewart-Brown (Sarah); P. Siriwanarangsan (Pornthep); P.A. Fasching (Peter); M. Ruebner (Matthias); A.B. Ekici (Arif); M.W. Beckmann (Matthias W.); J. Peto (Julian); I. dos Santos Silva (Isabel); O. Fletcher (Olivia); N. Johnson (Nichola); P.D.P. Pharoah (Paul D.P.); M.K. Bolla (Manjeet); Q. Wang (Qing); J. Dennis (Joe); E.J. Sawyer (Elinor); I.P. Tomlinson (Ian); M. Kerin (Michael); N. Miller (Nicola); B. Burwinkel (Barbara); F. Marme (Federick); R. Yang (Rongxi); H. Surowy (Harald); P. Guénel (Pascal); T. Truong (Thérèse); F. Menegaux (Florence); M. Sanchez (Marie); S.E. Bojesen (Stig); B.G. Nordestgaard (Børge); S.F. Nielsen (Sune); H. Flyger (Henrik); A. González-Neira (Anna); J. Benítez (Javier); M.P. Zamora (Pilar); J.I. Arias Pérez (José Ignacio); H. Anton-Culver (Hoda); S.L. Neuhausen (Susan); H. Brenner (Hermann); A.K. Dieffenbach (Aida Karina); V. Arndt (Volker); C. Stegmaier (Christa); A. Meindl (Alfons); R.K. Schmutzler (Rita); H. Brauch (Hiltrud); Y.-D. Ko (Yon-Dschun); T. Brüning (Thomas); H. Nevanlinna (Heli); T.A. Muranen (Taru); K. Aittomäki (Kristiina); C. Blomqvist (Carl); K. Matsuo (Keitaro); H. Ito (Hidemi); H. Iwata (Hisato); H. Tanaka (Hideo); T. Dörk (Thilo); N.V. Bogdanova (Natalia); S. Helbig (Sonja); A. Lindblom (Annika); S. Margolin (Sara); A. Mannermaa (Arto); V. Kataja (Vesa); V-M. Kosma (Veli-Matti); J.M. Hartikainen (J.); A.H. Wu (Anna H.); C.-C. Tseng (Chiu-Chen); D. Van Den Berg (David); D.O. Stram (Daniel O.); D. Lambrechts (Diether); H. Zhao (Hui); C. Weltens (Caroline); E. van Limbergen (Erik); J. Chang-Claude (Jenny); D. Flesch-Janys (Dieter); A. Rudolph (Anja); P. Seibold (Petra); P. Radice (Paolo); P. Peterlongo (Paolo); M. Barile (Monica); F. Capra (Fabio); F.J. Couch (Fergus); J.E. Olson (Janet); B. Hallberg (Boubou); C. Vachon (Celine); G.G. Giles (Graham); R.L. Milne (Roger); C.A. McLean (Catriona Ann); C.A. Haiman (Christopher); B.E. Henderson (Brian); F.R. Schumacher (Fredrick); L. Le Marchand (Loic); J. Simard (Jacques); M.S. Goldberg (Mark); F. Labrèche (France); M. Dumont (Martine); S.-H. Teo; C.H. Yip (Cheng Har); M.-H. See (Mee-Hoong); B.K. Cornes (Belinda); C.-Y. Cheng (Ching-Yu); M.K. Ikram (Kamran); V. Kristensen (Vessela); W. Zheng (Wei); S.L. Halverson (Sandra L.); M. Shrubsole (Martha); J. Long (Jirong); R. Winqvist (Robert); K. Pykäs (Katri); A. Jukkola-Vuorinen (Arja); S. Kauppila (Saila); I.L. Andrulis (Irene); J.A. Knight (Julia); G. Glendon (Gord); S. Tchatchou (Sandrine); P. Devilee (Peter); R.A.E.M. Tollenaar (Rob); C.M. Seynaeve (Caroline); C.J. van Asperen (Christi); M. García-Closas (Montserrat); J.D. Figueroa (Jonine); S.J. Chanock (Stephen); J. Lissowska (Jolanta); K. Czene (Kamila); D. Klevebring (Daniel); H. Darabi (Hatef); M. Eriksson (Mikael); M.J. Hooning (Maartje); A. Hollestelle (Antoinette); J.W.M. Martens (John W. M.); J.M. Collee (Margriet); P. Hall (Per); J. Li (Jingmei); K. Humphreys (Keith); X.-O. Shu (Xiao-Ou); W. Lu (Wei); Y.-T. Gao (Yu-Tang); H. Cai (Hui); A. Cox (Angela); S.S. Cross (Simon); M.W.R. Reed (Malcolm); W.J. Blot (William); L.B. Signorello (Lisa B.); Q. Cai (Qiuyin); M. Shah (Mitul); M. Ghoussaini (Maya); D. Kang (Daehee); J.-Y. Choi (J.); S.K. Park (Sue); D-Y. Noh (Dong-Young); M. Hartman (Mikael); X. Miao; W.-Y. Lim (Wei-Yen); A. Tang (Anthony); U. Hamann (Ute); D. Torres (Diana); A. Jakubowska (Anna); J. Lubinski (Jan); K. Jaworska (Katarzyna); K. Durda (Katarzyna); S. Sangrajrang (Suleeporn); V. Gaborieau (Valerie); P. Brennan (Paul); J.D. McKay (James); C. Olswold (Curtis); S. Slager (Susan); A.E. Toland (Amanda); D. Yannoukakos (Drakoulis); C-Y. Shen (Chen-Yang); P.-E. Wu (Pei-Ei); J-C. Yu (Jyh-Cherng); M.-F. Hou (Ming-Feng); A.J. Swerdlow (Anthony ); A. Ashworth (Alan); N. Orr (Nick); M. Jones (Michael); G. Pita (G.); M.R. Alonso (M Rosario); N. Álvarez (Nuria); D. Herrero (Daniel); D.C. Tessier (Daniel C.); D. Vincent (Daniel); F. Bacot (Francois); C. Luccarini (Craig); C. Baynes (Caroline); S. Ahmed (Shahana); S. Healey (Sue); M. Brown (Melissa); B.A.J. Ponder (Bruce A.J.); G. Chenevix-Trench (Georgia); D. Thompson (Deborah); S.L. Edwards (Stacey); D.F. Easton (Douglas); A.M. Dunning (Alison); J.D. French (Juliet)

    2015-01-01

    textabstractGenome-wide association studies (GWASs) have revealed SNP rs889312 on 5q11.2 to be associated with breast cancer risk in women of European ancestry. In an attempt to identify the biologically relevant variants, we analyzed 909 genetic variants across 5q11.2 in 103,991 breast cancer indiv

  6. Evidence that the 5p12 Variant rs10941679 Confers Susceptibility to Estrogen-Receptor-Positive Breast Cancer through FGF10 and MRPS30 Regulation

    NARCIS (Netherlands)

    M. Ghoussaini (Maya); J.D. French (Juliet); K. Michailidou (Kyriaki); S. Nord (Silje); J. Beesley (Jonathan); Canisus, S. (Sander); K.M. Hillman (Kristine); S. Kaufmann (Susanne); H. Sivakumaran (Haran); Moradi Marjaneh, M. (Mahdi); J.S. Lee (Jason S); J. Dennis (Joe); M.K. Bolla (Manjeet K.); Wang, Q. (Qin); E. Dicks (Ed); R.L. Milne (Roger); Hopper, J.L. (John L.); Southey, M.C. (Melissa C.); M.K. Schmidt (Marjanka); A. Broeks (Annegien); K.R. Muir (K.); A. Lophatananon (Artitaya); P.A. Fasching (Peter); M.W. Beckmann (Matthias); O. Fletcher (Olivia); Johnson, N. (Nichola); E.J. Sawyer (Elinor); I.P. Tomlinson (Ian); B. Burwinkel (Barbara); Marme, F. (Frederik); P. Guénel (Pascal); T. Truong (Thérèse); S.E. Bojesen (Stig); H. Flyger (Henrik); J. Benítez (Javier); A. González-Neira (Anna); M.R. Alonso (M Rosario); G. Pita (G.); S.L. Neuhausen (Susan); H. Anton-Culver (Hoda); H. Brenner (Hermann); Arndt, V. (Volker); A. Meindl (Alfons); R.K. Schmutzler (Rita); H. Brauch (Hiltrud); U. Hamann (Ute); D.C. Tessier (Daniel C.); D. Vincent (Daniel); H. Nevanlinna (Heli); S. Khan (Sofia); Matsuo, K. (Keitaro); H. Ito (Hidemi); T. Dörk (Thilo); N.V. Bogdanova (Natalia); A. Lindblom (Annika); S. Margolin (Sara); A. Mannermaa (Arto); V-M. Kosma (Veli-Matti); A.H. Wu (Anna); D. Van Den Berg (David); Lambrechts, D. (Diether); O.A.M. Floris; J. Chang-Claude (Jenny); Rudolph, A. (Anja); P. Radice (Paolo); M. Barile (Monica); F.J. Couch (Fergus); Hallberg, E. (Emily); Giles, G.G. (Graham G.); C.A. Haiman (Christopher A.); L. Le Marchand (Loic); M.S. Goldberg (Mark); S.-H. Teo; C.H. Yip (Cheng Har); A.-L. Borresen-Dale (Anne-Lise); W. Zheng (Wei); Q. Cai (Qiuyin); R. Winqvist (Robert); K. Pykäs (Katri); I.L. Andrulis (Irene); P. Devilee (Peter); R.A.E.M. Tollenaar (Rob); M. García-Closas (Montserrat); J.D. Figueroa (Jonine); P. Hall (Per); K. Czene (Kamila); J.S. Brand (Judith S.); H. Darabi (Hatef); M. Eriksson (Mats); M.J. Hooning (Maartje); Koppert, L.B. (Linetta B.); J. Li (Jingmei); X.-O. Shu (Xiao-Ou); Y. Zheng (Ying); A. Cox (Angela); S.S. Cross (Simon); Shah, M. (Mitul); V. Rhenius (Valerie); Choi, J.-Y. (Ji-Yeob); D. Kang (Daehee); J.M. Hartman (Joost); Chia, K.S. (Kee Seng); M. Kabisch (Maria); D. Torres (Diana); C. Luccarini (Craig); D. Conroy (Don); A. Jakubowska (Anna); J. Lubinski (Jan); Sangrajrang, S. (Suleeporn); P. Brennan (Paul); C. Olswold (Curtis); S. Slager (Susan); C.-Y. Shen (Chen-Yang); M.-F. Hou (Ming-Feng); A.J. Swerdlow (Anthony ); M. Schoemaker (Minouk); J. Simard (Jacques); P.D.P. Pharoah (Paul); V. Kristensen (Vessela); G. Chenevix-Trench (Georgia); D.F. Easton (Douglas F.); A.M. Dunning (Alison); S.L. Edwards (Stacey)

    2016-01-01

    textabstractGenome-wide association studies (GWASs) have revealed increased breast cancer risk associated with multiple genetic variants at 5p12. Here, we report the fine mapping of this locus using data from 104,660 subjects from 50 case-control studies in the Breast Cancer Association Consortium (

  7. Hormone receptors in breast cancer

    NARCIS (Netherlands)

    Suijkerbuijk, K. P M; van der Wall, E.; van Diest, P. J.

    2016-01-01

    Steroid hormone receptors are critical for the growth and development of breast tissue as well as of breast cancer. The importance of the role estrogens in breast cancer has been delineated for more than 100 years. The analysis of its expression has been used not only to classify breast cancers but

  8. Newly discovered breast cancer susceptibility loci on 3p24 and 17q23.2

    DEFF Research Database (Denmark)

    Ahmed, Shahana; Thomas, Gilles; Ghoussaini, Maya

    2009-01-01

    Genome-wide association studies (GWAS) have identified seven breast cancer susceptibility loci, but these explain only a small fraction of the familial risk of the disease. Five of these loci were identified through a two-stage GWAS involving 390 familial cases and 364 controls in the first stage...

  9. Integration of Nuclear- and Extranuclear-Initiated Estrogen Receptor Signaling in Breast Cancer Cells

    Science.gov (United States)

    Madak Erdogan, Zeynep

    2009-01-01

    Estrogenic hormones exert their effects through binding to Estrogen Receptors (ERs), which work in concert with coregulators and extranuclear signaling pathways to control gene expression in normal as well as cancerous states, including breast tumors. In this thesis, we have used multiple genome-wide analysis tools to elucidate various ways that…

  10. The role of genetic breast cancer susceptibility variants as prognostic factors

    DEFF Research Database (Denmark)

    Fasching, Peter A; Pharoah, Paul D P; Cox, Angela

    2012-01-01

    Recent genome-wide association studies identified 11 single nucleotide polymorphisms (SNPs) associated with breast cancer (BC) risk. We investigated these and 62 other SNPs for their prognostic relevance. Confirmed BC risk SNPs rs17468277 (CASP8), rs1982073 (TGFB1), rs2981582 (FGFR2), rs13281615 ...

  11. Genetic modifiers of menopausal hormone replacement therapy and breast cancer risk

    DEFF Research Database (Denmark)

    Rudolph, Anja; Hein, Rebecca; Lindström, Sara;

    2013-01-01

    Women using menopausal hormone therapy (MHT) are at increased risk of developing breast cancer (BC). To detect genetic modifiers of the association between current use of MHT and BC risk, we conducted a meta-analysis of four genome-wide case-only studies followed by replication in 11 case-control...

  12. Fine-Scale Mapping of the FGFR2 Breast Cancer Risk Locus

    DEFF Research Database (Denmark)

    Meyer, Kerstin B; O'Reilly, Martin; Michailidou, Kyriaki

    2013-01-01

    The 10q26 locus in the second intron of FGFR2 is the locus most strongly associated with estrogen-receptor-positive breast cancer in genome-wide association studies. We conducted fine-scale mapping in case-control studies genotyped with a custom chip (iCOGS), comprising 41 studies (n = 89,050) of...

  13. Preeclampsia and breast cancer

    DEFF Research Database (Denmark)

    Pacheco, Nadja Livia Pekkola; Andersen, Anne-Marie Nybo; Kamper-Jørgensen, Mads

    2015-01-01

    BACKGROUND: In parous women preeclampsia has been associated with reduced risk of developing breast cancer. Characteristics of births following preeclamptic pregnancies may help understand mechanisms involved in the breast cancer risk reduction inferred by preeclampsia. METHODS: We conducted...... a register-based cohort study of all Danish women giving birth during 1978-2010 (n = 778,701). The association between preeclampsia and breast cancer was evaluated overall and according to birth characteristics by means of incidence rate ratios (IRR) estimated in Poisson regression models. RESULTS: Compared...... with women with non-preeclamptic pregnancies only, women with one or more preeclamptic pregnancies were 19% significantly less likely to develop breast cancer (IRR = 0.81 [95% CI 0.72-0.93]). We found some indication of greater risk reduction in women with term births, one or more previous births...

  14. Inflammatory Breast Cancer

    Science.gov (United States)

    ... Other Funding Find NCI funding for small business innovation, technology transfer, and contracts Training Cancer Training at ... means they developed from cells that line the milk ducts of the breast and then spread beyond ...

  15. Recurrent Breast Cancer

    Science.gov (United States)

    ... that can help you cope with distress include: Art therapy Dance or movement therapy Exercise Meditation Music ... mayoclinic.org/diseases-conditions/recurrent-breast-cancer/basics/definition/CON-20032432 . Mayo Clinic Footer Legal Conditions and ...

  16. The breast cancer conundrum

    OpenAIRE

    2013-01-01

    For decades, rates of breast cancer have been going up faster in rich countries than in poor ones. Scientists are beginning to understand more about its causes but unanswered questions remain. Patrick Adams reports.

  17. Targeting Breast Cancer Metastasis

    OpenAIRE

    2015-01-01

    Metastasis is the leading cause of breast cancer-associated deaths. Despite the significant improvement in current therapies in extending patient life, 30–40% of patients may eventually suffer from distant relapse and succumb to the disease. Consequently, a deeper understanding of the metastasis biology is key to developing better treatment strategies and achieving long-lasting therapeutic efficacies against breast cancer. This review covers recent breakthroughs in the discovery of various me...

  18. Chapter 27 -- Breast Cancer Genomics, Section VI, Pathology and Biological Markers of Invasive Breast Cancer

    Energy Technology Data Exchange (ETDEWEB)

    Spellman, Paul T.; Heiser, Laura; Gray, Joe W.

    2009-06-18

    Breast cancer is predominantly a disease of the genome with cancers arising and progressing through accumulation of aberrations that alter the genome - by changing DNA sequence, copy number, and structure in ways that that contribute to diverse aspects of cancer pathophysiology. Classic examples of genomic events that contribute to breast cancer pathophysiology include inherited mutations in BRCA1, BRCA2, TP53, and CHK2 that contribute to the initiation of breast cancer, amplification of ERBB2 (formerly HER2) and mutations of elements of the PI3-kinase pathway that activate aspects of epidermal growth factor receptor (EGFR) signaling and deletion of CDKN2A/B that contributes to cell cycle deregulation and genome instability. It is now apparent that accumulation of these aberrations is a time-dependent process that accelerates with age. Although American women living to an age of 85 have a 1 in 8 chance of developing breast cancer, the incidence of cancer in women younger than 30 years is uncommon. This is consistent with a multistep cancer progression model whereby mutation and selection drive the tumor's development, analogous to traditional Darwinian evolution. In the case of cancer, the driving events are changes in sequence, copy number, and structure of DNA and alterations in chromatin structure or other epigenetic marks. Our understanding of the genetic, genomic, and epigenomic events that influence the development and progression of breast cancer is increasing at a remarkable rate through application of powerful analysis tools that enable genome-wide analysis of DNA sequence and structure, copy number, allelic loss, and epigenomic modification. Application of these techniques to elucidation of the nature and timing of these events is enriching our understanding of mechanisms that increase breast cancer susceptibility, enable tumor initiation and progression to metastatic disease, and determine therapeutic response or resistance. These studies also

  19. A locus on 19p13 modifies risk of breast cancer in BRCA1 mutation carriers and is associated with hormone receptor–negative breast cancer in the general population

    OpenAIRE

    Antoniou, Antonis C.; Wang, Xianshu; Fredericksen, Zachary S.; McGuffog, Lesley; Tarrell, Robert; Sinilnikova, Olga M.; Healey, Sue; Morrison, Jonathan; Kartsonaki, Christiana; Lesnick, Timothy; Ghoussaini, Maya; Barrowdale, Daniel; Peock, Susan; Cook, Margaret; Oliver, Clare

    2010-01-01

    Germline BRCA1 mutations predispose to breast cancer. To identify genetic modifiers of this risk, we performed a genome-wide association study in 1,193 individuals with BRCA1 mutations who were diagnosed with invasive breast cancer under age 40 and 1,190 BRCA1 carriers without breast cancer diagnosis over age 35. We took forward 96 SNPs for replication in another 5,986 BRCA1 carriers (2,974 individuals with breast cancer and 3,012 unaffected individuals). Five SNPs on 19p13 were associated wi...

  20. Increasing Breast Cancer Surveillance Among African American Breast Cancer Survivors

    Science.gov (United States)

    2010-01-01

    Family history of breast cancer  specifically mother or sister diagnosed with breast cancer  Not the same as genetic risk for breast cancer...treatment. Table 5 presents sociodemographic variables for the first 20 SIS participants. The majority of participants were African American, unmarried

  1. Breast Cancer Basics and You

    Science.gov (United States)

    ... in both men and women, although male breast cancer is rare. The Breasts Inside a woman's breast are 15 to 20 sections called lobes. Each lobe contains many smaller sections called lobules. These are groups of tiny glands that make breast milk. Breast milk flows through thin tubes called ducts ...

  2. Genetics Home Reference: breast cancer

    Science.gov (United States)

    ... Facebook Share on Twitter Your Guide to Understanding Genetic Conditions Search MENU Toggle navigation Home Page Search ... Conditions Genes Chromosomes & mtDNA Resources Help Me Understand Genetics Home Health Conditions breast cancer breast cancer Enable ...

  3. Inflammatory breast cancer: an overview

    NARCIS (Netherlands)

    Uden, D.J. van; Laarhoven, H.W.M. van; Westenberg, A.H.; Wilt, J.H. de; Blanken-Peeters, C.F.

    2015-01-01

    Inflammatory breast cancer (IBC) is the most aggressive entity of breast cancer. Management involves coordination of multidisciplinary management and usually includes neoadjuvant chemotherapy, ablative surgery if a tumor-free resection margin is expected and locoregional radiotherapy. This multimoda

  4. Preventing Breast Cancer: Making Progress

    Science.gov (United States)

    ... Navigation Bar Home Current Issue Past Issues Preventing Breast Cancer: Making Progress Past Issues / Fall 2006 Table of ... 000 women will have been diagnosed with invasive breast cancer, and nearly 41,000 women will die from ...

  5. Genome-wide association study of circulating estradiol, testosterone, and sex hormone-binding globulin in postmenopausal women.

    Directory of Open Access Journals (Sweden)

    Jennifer Prescott

    Full Text Available Genome-wide association studies (GWAS have successfully identified common genetic variants that contribute to breast cancer risk. Discovering additional variants has become difficult, as power to detect variants of weaker effect with present sample sizes is limited. An alternative approach is to look for variants associated with quantitative traits that in turn affect disease risk. As exposure to high circulating estradiol and testosterone, and low sex hormone-binding globulin (SHBG levels is implicated in breast cancer etiology, we conducted GWAS analyses of plasma estradiol, testosterone, and SHBG to identify new susceptibility alleles. Cancer Genetic Markers of Susceptibility (CGEMS data from the Nurses' Health Study (NHS, and Sisters in Breast Cancer Screening data were used to carry out primary meta-analyses among ~1600 postmenopausal women who were not taking postmenopausal hormones at blood draw. We observed a genome-wide significant association between SHBG levels and rs727428 (joint β = -0.126; joint P = 2.09 × 10(-16, downstream of the SHBG gene. No genome-wide significant associations were observed with estradiol or testosterone levels. Among variants that were suggestively associated with estradiol (P<10(-5, several were located at the CYP19A1 gene locus. Overall results were similar in secondary meta-analyses that included ~900 NHS current postmenopausal hormone users. No variant associated with estradiol, testosterone, or SHBG at P<10(-5 was associated with postmenopausal breast cancer risk among CGEMS participants. Our results suggest that the small magnitude of difference in hormone levels associated with common genetic variants is likely insufficient to detectably contribute to breast cancer risk.

  6. Affluence and Breast Cancer.

    Science.gov (United States)

    Lehrer, Steven; Green, Sheryl; Rosenzweig, Kenneth E

    2016-09-01

    High income, high socioeconomic status, and affluence increase breast cancer incidence. Socioeconomic status in USA breast cancer studies has been assessed by block-group socioeconomic measures. A block group is a portion of a census tract with boundaries that segregate, as far as possible, socioeconomic groups. In this study, we used US Census income data instead of block groups to gauge socioeconomic status of breast cancer patients in relationship with incidence, prognostic markers, and survival. US state breast cancer incidence and mortality data are from the U.S. Cancer Statistics Working Group, United States Cancer Statistics: 1999-2011. Three-Year-Average Median Household Income by State, 2010 to 2012, is from the U.S. Census Bureau, Current Population Survey, 2011 to 2013 Annual Social and Economic Supplements. County incomes are from the 2005-2009 American Community Survey of the U.S. Census Bureau. The American Community Survey is an ongoing statistical survey that samples a small percentage of the population yearly. Its purpose is to provide communities the information they need to plan investments and services. Breast cancer county incidence and survival data are from the National Cancer Institute's Surveillance, Epidemiology and End Results Program (SEER) data base. We analyzed SEER data from 198 counties in California, Connecticut, Georgia, Hawaii, Iowa, New Mexico, Utah, and Washington. SEER uses the Collaborative Stage (CS) Data Collection System. We have retained the SEER CS variables. There was a significant relationship of income with breast cancer incidence in 50 USA states and the District of Columbia in White women (r = 0.623, p breast cancer. Income was not correlated with 5-year survival of Black race (p = 0.364) or other races (p = 0.624). The multivariate general linear model with income as covariate, 5-year survival by race as a dependent variable, showed a significant effect of income and White race on 5-year survival (p breast cancer

  7. Hereditary breast cancer

    DEFF Research Database (Denmark)

    Larsen, Martin J; Thomassen, Mads; Gerdes, Anne-Marie

    2014-01-01

    Pathogenic mutations in BRCA1 or BRCA2 are only detected in 25% of families with a strong history of breast cancer, though hereditary factors are expected to be involved in the remaining families with no recognized mutation. Molecular characterization is expected to provide new insight...... into the tumor biology to guide the search of new high-risk alleles and provide better classification of the growing number of BRCA1/2 variants of unknown significance (VUS). In this review, we provide an overview of hereditary breast cancer, its genetic background, and clinical implications, before focusing...... on the pathologically and molecular features associated with the disease. Recent transcriptome and genome profiling studies of tumor series from BRCA1/2 mutation carriers as well as familial non-BRCA1/2 will be discussed. Special attention is paid to its association with molecular breast cancer subtypes as well...

  8. Abortion, Miscarriage, and Breast Cancer Risk

    Science.gov (United States)

    ... of Breast & Gynecologic Cancers Breast Cancer Screening Research Abortion, Miscarriage, and Breast Cancer Risk: 2003 Workshop In ... cancer risk, including studies of induced and spontaneous abortions. They concluded that having an abortion or miscarriage ...

  9. Early detection of breast cancer.

    Science.gov (United States)

    Nettles-Carlson, B

    1989-01-01

    Timely, comprehensive screening for breast cancer is a major, though often overlooked, component of primary health care for women. This article reviews the scientific rationale for screening and outlines the current recommendations of the American Cancer Society and the U.S. Preventive Services Task Force regarding the use of mammography, clinical breast examination (CBE), and breast self-examination (BSE). Nursing interventions to decrease barriers to effective screening are discussed, and an expanded role of nurses in breast cancer screening is proposed.

  10. Breast cancer epidemiology.

    Science.gov (United States)

    Kelsey, J L; Berkowitz, G S

    1988-10-15

    The various risk factors for breast cancer have been recognized for many years. A table lists these established breast cancer risk factors together with the approximate magnitude of the increase in risk associated with them. Breast cancer incidence rates increase with age throughout the life span in Western countries, although the rate of increase is greater up to age 50 years than after 50 years. Breast cancer is more common among women in upper rather than lower social classes, among women who never have been married, among women living in urban areas, among women living in the northern US than in the southern US, and among whites than blacks, at least among those over age 50. Women in North American and Northern European countries have the highest risk for breast cancer, women in Southern European and Latin American countries are at intermediate risk, and women in Africa and Asian countries have the lowest risk. Yet, rapid rates of increase in incident rates have been noted in recent years in many Asian, Central European, and some South American countries. The later the age at which a woman has her 1st full-term pregnancy, the higher her risk for breast cancer; the earlier the age at menarche and the later the age at menopause the higher the risk; and among women who have a premenopausal oophorectomy, the earlier the age at which this occurs the lower the risk. Among postmenopausal women, obesity is associated with an increase in risk. Lactation is negatively associated with subsequent breast cancer risk. Some current research is considering potential risk factors that have not been well studied in the past, including alcohol consumption, cigarette smoking, caffeine consumption, exposure to diethylstilbestrol (DES), emotional stress, exposure to electric power, and lack of physical activity. Other areas of current research reviewed here include radiation, mammographic parenchymal patterns, a high-fat diet, use of oral contraceptives (OCs), use of estrogen

  11. Breast Cancer in Art Painting

    OpenAIRE

    2011-01-01

    Breast cancer is an emotive cancer. It is a disease that affects a visible sexual organ and it is the commonest single cause of death of women between 40 and 60 years of age. Nevertheless, this type of cancer was infrequently depicted in art paintings. In this article the themes from the breast cancer in famous art paintings are discussed.

  12. Large-scale genotyping identifies 41 new loci associated with breast cancer risk

    Science.gov (United States)

    Michailidou, Kyriaki; Hall, Per; Gonzalez-Neira, Anna; Ghoussaini, Maya; Dennis, Joe; Milne, Roger L; Schmidt, Marjanka K; Chang-Claude, Jenny; Bojesen, Stig E; Bolla, Manjeet K; Wang, Qin; Dicks, Ed; Lee, Andrew; Turnbull, Clare; Rahman, Nazneen; Fletcher, Olivia; Peto, Julian; Gibson, Lorna; Silva, Isabel dos Santos; Nevanlinna, Heli; Muranen, Taru A; Aittomäki, Kristiina; Blomqvist, Carl; Czene, Kamila; Irwanto, Astrid; Liu, Jianjun; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel; van der Luijt, Rob B; Hein, Rebecca; Dahmen, Norbert; Beckman, Lars; Meindl, Alfons; Schmutzler, Rita K; Müller-Myhsok, Bertram; Lichtner, Peter; Hopper, John L; Southey, Melissa C; Makalic, Enes; Schmidt, Daniel F; Uitterlinden, Andre G; Hofman, Albert; Hunter, David J; Chanock, Stephen J; Vincent, Daniel; Bacot, François; Tessier, Daniel C; Canisius, Sander; Wessels, Lodewyk F A; Haiman, Christopher A; Shah, Mitul; Luben, Robert; Brown, Judith; Luccarini, Craig; Schoof, Nils; Humphreys, Keith; Li, Jingmei; Nordestgaard, Børge G; Nielsen, Sune F; Flyger, Henrik; Couch, Fergus J; Wang, Xianshu; Vachon, Celine; Stevens, Kristen N; Lambrechts, Diether; Moisse, Matthieu; Paridaens, Robert; Christiaens, Marie-Rose; Rudolph, Anja; Nickels, Stefan; Flesch-Janys, Dieter; Johnson, Nichola; Aitken, Zoe; Aaltonen, Kirsimari; Heikkinen, Tuomas; Broeks, Annegien; Van’t Veer, Laura J; van der Schoot, C Ellen; Guénel, Pascal; Truong, Thérèse; Laurent-Puig, Pierre; Menegaux, Florence; Marme, Frederik; Schneeweiss, Andreas; Sohn, Christof; Burwinkel, Barbara; Zamora, M Pilar; Perez, Jose Ignacio Arias; Pita, Guillermo; Alonso, M Rosario; Cox, Angela; Brock, Ian W; Cross, Simon S; Reed, Malcolm W R; Sawyer, Elinor J; Tomlinson, Ian; Kerin, Michael J; Miller, Nicola; Henderson, Brian E; Schumacher, Fredrick; Le Marchand, Loic; Andrulis, Irene L; Knight, Julia A; Glendon, Gord; Mulligan, Anna Marie; Lindblom, Annika; Margolin, Sara; Hooning, Maartje J; Hollestelle, Antoinette; van den Ouweland, Ans M W; Jager, Agnes; Bui, Quang M; Stone, Jennifer; Dite, Gillian S; Apicella, Carmel; Tsimiklis, Helen; Giles, Graham G; Severi, Gianluca; Baglietto, Laura; Fasching, Peter A; Haeberle, Lothar; Ekici, Arif B; Beckmann, Matthias W; Brenner, Hermann; Müller, Heiko; Arndt, Volker; Stegmaier, Christa; Swerdlow, Anthony; Ashworth, Alan; Orr, Nick; Jones, Michael; Figueroa, Jonine; Lissowska, Jolanta; Brinton, Louise; Goldberg, Mark S; Labrèche, France; Dumont, Martine; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Brauch, Hiltrud; Hamann, Ute; Brüning, Thomas; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Bonanni, Bernardo; Devilee, Peter; Tollenaar, Rob A E M; Seynaeve, Caroline; van Asperen, Christi J; Jakubowska, Anna; Lubinski, Jan; Jaworska, Katarzyna; Durda, Katarzyna; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Bogdanova, Natalia V; Antonenkova, Natalia N; Dörk, Thilo; Kristensen, Vessela N; Anton-Culver, Hoda; Slager, Susan; Toland, Amanda E; Edge, Stephen; Fostira, Florentia; Kang, Daehee; Yoo, Keun-Young; Noh, Dong-Young; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Sueta, Aiko; Wu, Anna H; Tseng, Chiu-Chen; Van Den Berg, David; Stram, Daniel O; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Cai, Hui; Teo, Soo Hwang; Yip, Cheng Har; Phuah, Sze Yee; Cornes, Belinda K; Hartman, Mikael; Miao, Hui; Lim, Wei Yen; Sng, Jen-Hwei; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Shen, Chen-Yang; Hsiung, Chia-Ni; Wu, Pei-Ei; Ding, Shian-Ling; Sangrajrang, Suleeporn; Gaborieau, Valerie; Brennan, Paul; McKay, James; Blot, William J; Signorello, Lisa B; Cai, Qiuyin; Zheng, Wei; Deming-Halverson, Sandra; Shrubsole, Martha; Long, Jirong; Simard, Jacques; Garcia-Closas, Montse; Pharoah, Paul D P; Chenevix-Trench, Georgia; Dunning, Alison M; Benitez, Javier; Easton, Douglas F

    2013-01-01

    Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for ~9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10,052 breast cancer cases and 12,575 controls of European ancestry, from which we selected 29,807 SNPs for further genotyping. These SNPs were genotyped in 45,290 cases and 41,880 controls of European ancestry from 41 studies in the Breast Cancer Association Consortium (BCAC). The SNPs were genotyped as part of a collaborative genotyping experiment involving four consortia (Collaborative Oncological Gene-environment Study, COGS) and used a custom Illumina iSelect genotyping array, iCOGS, comprising more than 200,000 SNPs. We identified SNPs at 41 new breast cancer susceptibility loci at genome-wide significance (P < 5 × 10−8). Further analyses suggest that more than 1,000 additional loci are involved in breast cancer susceptibility. PMID:23535729

  13. Prostate cancer is not breast cancer

    Directory of Open Access Journals (Sweden)

    Ajit Venniyoor

    2016-01-01

    Full Text Available Cancers of the prostate and breast are hormone dependent cancers. There is a tendency to equate them and apply same algorithms for treatment. It is pointed out that metastatic prostate cancer with bone-only disease is a potentially fatal condition with a much poorer prognosis than metastatic breast cancer and needs a more aggressive approach.

  14. Hormones and Breast Cancer.

    Science.gov (United States)

    1997-10-01

    pathway of El metabolism may be altered by dietary (in particular, cruciferous vegetables ) and other factors (54-58). In this project we compared the... Cancer PRINCIPAL INVESTIGATOR: Giske Ursin, M.D., Ph.D. CONTRACTING ORGANIZATION: University of Southern California School of Medicine Los Angeles...TYPE AND DATES COVERED I October 1997 Final (30 Sep 94 - 29 Sep 97) 4. TITLE AND SUBTITLE 5. FUNDING NUMBERS Hormones and Breast Cancer DAMD17-94-J

  15. Breast Cancer Research Program

    Science.gov (United States)

    2010-09-01

    tion of tumor cells with red indicating the highest density of tumor cells at the primary tumor (4th mammary fat pad ) and purple/blue showing the...Idea Award Elaine Hardman and Philippe Georgel “ Maternal Consumption of Omega 3 Fatty Acids to Reduce Breast Cancer Risk in Offspring” FY09

  16. Living Beyond Breast Cancer

    Science.gov (United States)

    ... MBC Radiation Therapy for MBC Surgery for MBC Yoga and MBC Side Effects Bone Health and MBC Bone Pain and MBC ... Yoga Poses Special Situations Yoga and Lymphedema Risk Yoga and Metastatic Breast Cancer Side Effects Anemia Bone Loss Bone Pain Chemobrain Depression and ...

  17. Breast Cancer - Early Diagnosis

    Centers for Disease Control (CDC) Podcasts

    2011-04-28

    This podcast answers a listener's question about how to tell if she has breast cancer.  Created: 4/28/2011 by National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP).   Date Released: 4/28/2011.

  18. Progestins and breast cancer.

    Science.gov (United States)

    Pasqualini, Jorge R

    2007-10-01

    Progestins exert their progestational activity by binding to the progesterone receptor (form A, the most active and form B, the less active) and may also interact with other steroid receptors (androgen, glucocorticoid, mineralocorticoid, estrogen). They can have important effects in other tissues besides the endometrium, including the breast, liver, bone and brain. The biological responses of progestins cover a very large domain: lipids, carbohydrates, proteins, water and electrolyte regulation, hemostasis, fibrinolysis, and cardiovascular and immunological systems. At present, more than 200 progestin compounds have been synthesized, but the biological response could be different from one to another depending on their structure, metabolism, receptor affinity, experimental conditions, target tissue or cell line, as well as the biological response considered. There is substantial evidence that mammary cancer tissue contains all the enzymes responsible for the local biosynthesis of estradiol (E(2)) from circulating precursors. Two principal pathways are implicated in the final steps of E(2) formation in breast cancer tissue: the 'aromatase pathway', which transforms androgens into estrogens, and the 'sulfatase pathway', which converts estrone sulfate (E(1)S) into estrone (E(1)) via estrone sulfatase. The final step is the conversion of weak E(1) to the potent biologically active E(2) via reductive 17beta-hydroxysteroid dehydrogenase type 1 activity. It is also well established that steroid sulfotransferases, which convert estrogens into their sulfates, are present in breast cancer tissues. It has been demonstrated that various progestins (e.g. nomegestrol acetate, medrogestone, promegestone) as well as tibolone and their metabolites can block the enzymes involved in E(2) bioformation (sulfatase, 17beta-hydroxysteroid dehydrogenase) in breast cancer cells. These substances can also stimulate the sulfotransferase activity which converts estrogens into the biologically

  19. Mindfulness Meditation or Survivorship Education in Improving Behavioral Symptoms in Younger Stage 0-III Breast Cancer Survivors (Pathways to Wellness)

    Science.gov (United States)

    2017-03-21

    Cancer Survivor; Early-Stage Breast Carcinoma; Stage 0 Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  20. Fine-scale mapping of the 5q11.2 breast cancer locus reveals at least three independent risk variants regulating MAP3K1

    DEFF Research Database (Denmark)

    Glubb, Dylan M; Maranian, Mel J; Michailidou, Kyriaki

    2015-01-01

    Genome-wide association studies (GWASs) have revealed SNP rs889312 on 5q11.2 to be associated with breast cancer risk in women of European ancestry. In an attempt to identify the biologically relevant variants, we analyzed 909 genetic variants across 5q11.2 in 103,991 breast cancer individuals an...

  1. Association of breast cancer risk in BRCA1 and BRCA2 mutation carriers with genetic variants showing differential allelic expression

    DEFF Research Database (Denmark)

    Hamdi, Yosr; Soucy, Penny; Kuchenbaeker, Karoline B

    2017-01-01

    1 and BRCA2 mutation carriers, a list of 175 genes was developed based of their involvement in cancer-related pathways. METHODS: Using data from a genome-wide map of SNPs associated with allelic expression, we assessed the association of ~320 SNPs located in the vicinity of these genes with breast...

  2. Polymorphisms in a Putative Enhancer at the 10q21.2 Breast Cancer Risk Locus Regulate NRBF2 Expression

    NARCIS (Netherlands)

    H. Darabi (Hatef); K. McCue (Karen); J. Beesley (Jonathan); K. Michailidou (Kyriaki); S. Nord (Silje); S. Kar (Siddhartha); K. Humphreys (Keith); D. Thompson (Deborah); M. Ghoussaini (Maya); M.K. Bolla (Manjeet); J. Dennis (Joe); Q. Wang (Qing); S. Canisius (Sander); C.G. Scott (Christopher G.); C. Apicella (Carmel); J. Hopper (John); M.C. Southey (Melissa); J. Stone (Jennifer); A. Broeks (Annegien); M.K. Schmidt (Marjanka); R.J. Scott (Rodney J.); A. Lophatananon (Artitaya); K.R. Muir (K.); M.W. Beckmann (Matthias W.); A.B. Ekici (Arif); P.A. Fasching (Peter); K. Heusinger (Katharina); I. dos Santos Silva (Isabel); J. Peto (Julian); I.P. Tomlinson (Ian); E.J. Sawyer (Elinor); B. Burwinkel (Barbara); F. Marme (Federick); P. Guénel (Pascal); T. Truong (Thérèse); S.E. Bojesen (Stig); H. Flyger (Henrik); J. Benítez (Javier); A. González-Neira (Anna); H. Anton-Culver (Hoda); S.L. Neuhausen (Susan); V. Arndt (Volker); H. Brenner (Hermann); C. Engel (Christoph); A. Meindl (Alfons); R.K. Schmutzler (Rita); N. Arnold (Norbert); H. Brauch (Hiltrud); U. Hamann (Ute); J. Chang-Claude (Jenny); S. Khan (Sofia); H. Nevanlinna (Heli); H. Ito (Hidemi); K. Matsuo (Keitaro); N.V. Bogdanova (Natalia); T. Dörk (Thilo); A. Lindblom (Annika); S. Margolin (Sara); V-M. Kosma (Veli-Matti); A. Mannermaa (Arto); C.-C. Tseng (Chiu-chen); A.H. Wu (Anna H.); O.A.M. Floris; D. Lambrechts (Diether); A. Rudolph (Anja); P. Peterlongo (Paolo); P. Radice (Paolo); F.J. Couch (Fergus); C. Vachon (Celine); G.G. Giles (Graham G.); C.A. McLean (Catriona Ann); R.L. Milne (Roger L.); P.-A. Dugué (Pierre-Antoine); C.A. Haiman (Christopher); G. Maskarinec (Gertraud); C. Woolcott (Christy); B.E. Henderson (Brian); M.S. Goldberg (Mark); J. Simard (Jacques); S.-H. Teo; S. Mariapun (Shivaani); Å. Helland (Åslaug); V. Haakensen (Vilde); W. Zheng (Wei); A. Beeghly-Fadiel (Alicia); R. Tamimi (Rulla); A. Jukkola-Vuorinen (Arja); R. Winqvist (Robert); I.L. Andrulis (Irene); J.A. Knight (Julia); P. Devilee (Peter); R.A.E.M. Tollenaar (Rob); J.D. Figueroa (Jonine); M. García-Closas (Montserrat); K. Czene (Kamila); M.J. Hooning (Maartje); M.M.A. Tilanus-Linthorst (Madeleine); J. Li (J.); Y.-T. Gao (Yu-Tang); X.-O. Shu (Xiao-Ou); A. Cox (Angela); S.S. Cross (Simon); R.N. Luben (Robert); K.T. Khaw; J.-Y. Choi (J.); D. Kang (Daehee); J.M. Hartman (Joost); W.-Y. Lim (Wei-Yen); M. Kabisch (Maria); D. Torres (Diana); A. Jakubowska (Anna); J. Lubinski (Jan); J.D. McKay (James); S. Sangrajrang (Suleeporn); A.E. Toland (Amanda); D. Yannoukakos (Drakoulis); C-Y. Shen (Chen-Yang); J-C. Yu (Jyh-Cherng); A. Ziogas (Argyrios); M. Schoemaker (Minouk); A.J. Swerdlow (Anthony ); A.-L. Borresen-Dale (Anne-Lise); V. Kristensen (Vessela); J.D. French (Juliet); S.L. Edwards (Stacey); A.M. Dunning (Alison); D.F. Easton (Douglas); P. Hall (Per); G. Chenevix-Trench (Georgia)

    2015-01-01

    textabstractGenome-wide association studies have identified SNPs near ZNF365 at 10q21.2 that are associated with both breast cancer risk and mammographic density. To identify the most likely causal SNPs, we fine mapped the association signal by genotyping 428 SNPs across the region in 89,050 Europea

  3. Contribution of Na+,HCOsub>3sub>--cotransport to cellular pH control in human breast cancer

    DEFF Research Database (Denmark)

    Bødtkjer, Ebbe; Moreira, José; Mele, Marco;

    2013-01-01

    Genome-wide association studies recently linked the locus for Na(+) ,HCO(3) (-) -cotransporter NBCn1 (SLC4A7) to breast cancer susceptibility, yet functional insights have been lacking. To determine whether NBCn1, by transporting HCO(3) (-) into cells, may dispose of acid produced during high met...

  4. Opioids and breast cancer recurrence

    DEFF Research Database (Denmark)

    Cronin-Fenton, Deirdre P; Heide-Jørgensen, Uffe; Ahern, Thomas P

    2015-01-01

    BACKGROUND: Opioids may alter immune function, thereby potentially affecting cancer recurrence. The authors investigated the association between postdiagnosis opioid use and breast cancer recurrence. METHODS: Patients with incident, early stage breast cancer who were diagnosed during 1996 through...... 2008 in Denmark were identified from the Danish Breast Cancer Cooperative Group Registry. Opioid prescriptions were ascertained from the Danish National Prescription Registry. Follow-up began on the date of primary surgery for breast cancer and continued until breast cancer recurrence, death......, emigration, 10 years, or July 31, 2013, whichever occurred first. Cox regression models were used to compute hazard ratios and 95% confidence intervals associating breast cancer recurrence with opioid prescription use overall and by opioid type and strength, immunosuppressive effect, chronic use (≥6 months...

  5. [Occult multicentric breast cancer].

    Science.gov (United States)

    Vtorushin, S V; Zab'ialova, M V; Glushchenko, S A; Perel'muter, V M; Slonimskaia, E M

    2009-01-01

    The study included 92 patients with invasive ductal breast cancer (T2-4N0-2M0-1). In 38 cases, tumor growth was unicentric while histologically identifiable ones as multicentric in 44. Multicentricity mostly occurred in cases of macroscopically-identifiable nodes located in the central segments of the breast. Clinically-identifiable nodes of multicentric tumor growth measured more than 3 cm. Multicentric tumors were mostly grade III, featured lower expression of sex hormone receptors and positive Her2 status.

  6. Treatment Option Overview (Male Breast Cancer)

    Science.gov (United States)

    ... Cancers Breast Cancer Screening Research Male Breast Cancer Treatment (PDQ®)–Patient Version General Information about Male Breast ... Certain factors affect prognosis (chance of recovery) and treatment options. The prognosis (chance of recovery ) and treatment ...

  7. You, Your Teenage Daughter and Breast Cancer.

    Science.gov (United States)

    Brateman, Libby

    1991-01-01

    Discusses breast cancer and teenagers, focusing on how parents can introduce the subject and encourage breast self-examination. The article provides information on breast cancer statistics, mammography, and American Cancer Society services. (SM)

  8. Braving Breast Cancer: Just Do It!

    Science.gov (United States)

    ... of this page please turn Javascript on. Feature: Breast Cancer Braving Breast Cancer: Just Do It! Past Issues / Spring - Summer 2010 Table of Contents Breast cancer survivor Jana Brightwell, pictured here on the NIH ...

  9. Disrupting Na+,HCO3--cotransporter NBCn1 (Slc4a7) delays murine breast cancer development

    DEFF Research Database (Denmark)

    Lee, S.; Axelsen, T. V.; Andersen, Anne Poder

    2016-01-01

    Increased metabolism and insufficient blood supply cause acidic waste product accumulation in solid cancers. During carcinogenesis, cellular acid extrusion is upregulated but the underlying molecular mechanisms and their consequences for cancer growth and progression have not been established....... Genome-wide association studies have indicated a possible link between the Na(+),HCO3(-)-cotransporter NBCn1 (SLC4A7) and breast cancer. We tested the functional consequences of NBCn1 knockout (KO) for breast cancer development. NBCn1 protein expression increased 2.5-fold during breast carcinogenesis...... and was responsible for the increased net acid extrusion and alkaline intracellular pH of breast cancer compared with normal breast tissue. Genetic disruption of NBCn1 delayed breast cancer development: tumor latency was ~50% increased while tumor growth rate was ~65% reduced in NBCn1 KO compared with wild-type (WT...

  10. Breast cancer fear in African American breast cancer survivors.

    Science.gov (United States)

    Gibson, Lynette M; Thomas, Sheila; Parker, Veronica; Mayo, Rachel; Wetsel, Margaret Ann

    2014-01-01

    The purpose of this study was to describe breast cancer fear according to phase of survivorship, determine whether breast cancer fear levels differed among survivorship phases, and determine the relationship between fear and age in African-American breast cancer survivors. The study utilized secondary data analysis from the study, Inner Resources as Predictors of Psychological Well-Being in AABCS. A new subscale entitled, "Breast Cancer Fear" was adapted from the Psychological Well Being Subscale by Ferrell and Grant. There was no significant difference between fear and phase of survivorship. There was a significant positive relationship between age and fear.

  11. Getting free of breast cancer

    DEFF Research Database (Denmark)

    Halttunen, Arja; Hietanen, P; Jallinoja, P

    1992-01-01

    Twenty-two breast cancer patients who were relapse-free and had no need for cancer-related treatment were interviewed 8 years after mastectomy in order to evaluate their feelings of getting free of breast cancer and the meaning of breast cancer in their lives. The study is a part of an intervention...... and follow-up study of 57 breast cancer patients. Half of the 22 patients still had frequent or occasional thoughts of recurrence and over two-thirds still thought they had not been 'cured' of cancer. More than half of the patients admitted that going through breast cancer had made them more mature. Women...... who had less thoughts of recurrence belonged to a group that had gone through an eight-week group psychotherapy intervention, were less depressed and had more other illnesses. Women who felt 'cured' had less limitations and restrictions due to cancer and belonged more often to higher social classes...

  12. Molecular imaging of breast cancer

    NARCIS (Netherlands)

    Adams, A.L.L.

    2014-01-01

    Breast cancer is the most common type of cancer in women. Imaging techniques play a pivotal role in breast cancer management, especially in lesion detection, treatment planning and evaluation, and prognostication. These imaging techniques have however limitations such as the use of ionizing radiatio

  13. Association of Genome-Wide Association Study (GWAS) Identified SNPs and Risk of Breast Cancer in an Indian Population

    Science.gov (United States)

    Nagrani, Rajini; Mhatre, Sharayu; Rajaraman, Preetha; Chatterjee, Nilanjan; Akbari, Mohammad R.; Boffetta, Paolo; Brennan, Paul; Badwe, Rajendra; Gupta, Sudeep; Dikshit, Rajesh

    2017-01-01

    To date, no studies have investigated the association of the GWAS-identified SNPs with BC risk in Indian population. We investigated the association of 30 previously reported and replicated BC susceptibility SNPs in 1,204 cases and 1,212 controls from a hospital based case-control study conducted at the Tata Memorial Hospital, Mumbai. As a measure of total susceptibility burden, the polygenic risk score (PRS) for each individual was defined by the weighted sum of genotypes from 21 independent SNPs with weights derived from previously published estimates of association odds-ratios. Logistic regression models were used to assess risk associated with individual SNPs and overall PRS, and stratified by menopausal and receptor status. A total of 11 SNPs from eight genomic regions (FGFR2, 9q31.2, MAP3K, CCND1, ZM1Z1, RAD51L11, ESR1 and UST) showed statistically significant (p-value ≤ 0.05) evidence of association, either overall or when stratified by menopausal status or hormone receptor status. BC SNPs previously identified in Caucasian population showed evidence of replication in the Indian population mainly with respect to risk of postmenopausal and hormone receptor positive BC. PMID:28098224

  14. The Breast Cancer DNA Interactome

    Science.gov (United States)

    2014-12-01

    Sugumar A, Liu YC, Xia Q , Koh YS, Matsuo K. Insulin-like growth factor (IGF)-I and IGF-binding protein 3 and the risk of premenopausal breast cancer: a...stimulates autophagy and promotes the survival of breast cancer cells exposed to adverse microenvironments. Oncogene 32(19): 2412 2420. 29. Mehta HH, Gao Q ...Award Number: W81XWH-11-1-0474 TITLE: The Breast Cancer DNA Interactome PRINCIPAL INVESTIGATOR: Andrew R. Hoffman CONTRACTING ORGANIZATION

  15. Progress in breast cancer: overview.

    Science.gov (United States)

    Arteaga, Carlos L

    2013-12-01

    This edition of CCR Focus titled Research in Breast Cancer: Frontiers in Genomics, Biology, and Clinical Investigation reviews six topics that cover areas of translational research of high impact in breast cancer. These topics represent areas of breast cancer research where significant progress has occurred but also where very important challenges remain. The papers in this CCR Focus section are contributed by experts in the respective areas of investigation. Herein, key aspects of these contributions and the research directions they propose are reviewed.

  16. Proteomic classification of breast cancer.

    LENUS (Irish Health Repository)

    Kamel, Dalia

    2012-11-01

    Being a significant health problem that affects patients in various age groups, breast cancer has been extensively studied to date. Recently, molecular breast cancer classification has advanced significantly with the availability of genomic profiling technologies. Proteomic technologies have also advanced from traditional protein assays including enzyme-linked immunosorbent assay, immunoblotting and immunohistochemistry to more comprehensive approaches including mass spectrometry and reverse phase protein lysate arrays (RPPA). The purpose of this manuscript is to review the current protein markers that influence breast cancer prediction and prognosis and to focus on novel advances in proteomic classification of breast cancer.

  17. Estrogens and breast cancer

    Directory of Open Access Journals (Sweden)

    HANKINSON SUSAN E

    1997-01-01

    Full Text Available In this review, we summarize the epidemiologic evidence for the associations of oral contraceptives and postmenopausal hormones with risk of breast cancer. We also describe the biologic plausibility of these relationships. Overall, there appears to be little, if any, increase in risk with oral contraceptive use in general, even among users for 10 or more years. However, compared to never users, current oral contraceptive users appear to have a modest elevation in risk that subsides within about 10 years after cessation of use. For postmenopausal hormones, the weight of the evidence suggests little or no increase in risk among users of short duration, or for use in the past. However, current longer term use is associated with an increased risk of breast cancer that increases with duration. This increase in risk is large enough, and well enough supported, to be considered along with the other risks and benefits of postmenopausal hormone therapy.

  18. Interleukin-19 in Breast Cancer

    Directory of Open Access Journals (Sweden)

    Ying-Yin Chen

    2013-01-01

    Full Text Available Inflammatory cytokines within the tumor microenvironment are linked to progression in breast cancer. Interleukin- (IL- 19, part of the IL-10 family, contributes to a range of diseases and disorders, such as asthma, endotoxic shock, uremia, psoriasis, and rheumatoid arthritis. IL-19 is expressed in several types of tumor cells, especially in squamous cell carcinoma of the skin, tongue, esophagus, and lung and invasive duct carcinoma of the breast. In breast cancer, IL-19 expression is correlated with increased mitotic figures, advanced tumor stage, higher metastasis, and poor survival. The mechanisms of IL-19 in breast cancer have recently been explored both in vitro and in vivo. IL-19 has an autocrine effect in breast cancer cells. It directly promotes proliferation and migration and indirectly provides a microenvironment for tumor progression, which suggests that IL-19 is a prognostic marker in breast cancer and that antagonizing IL-19 may have therapeutic potential.

  19. Breast cancer risk factors

    Directory of Open Access Journals (Sweden)

    Marzena Kamińska

    2015-09-01

    Full Text Available Breast cancer is the most frequently diagnosed neoplastic disease in women around menopause often leading to a significant reduction of these women’s ability to function normally in everyday life. The increased breast cancer incidence observed in epidemiological studies in a group of women actively participating in social and professional life implicates the necessity of conducting multidirectional studies in order to identify risk factors associated with the occurrence of this type of neoplasm. Taking the possibility of influencing the neoplastic transformation process in individuals as a criterion, all the risk factors initiating the process can be divided into two groups. The first group would include inherent factors such as age, sex, race, genetic makeup promoting familial occurrence of the neoplastic disease or the occurrence of benign proliferative lesions of the mammary gland. They all constitute independent parameters and do not undergo simple modification in the course of an individual’s life. The second group would include extrinsic factors conditioned by lifestyle, diet or long-term medical intervention such as using oral hormonal contraceptives or hormonal replacement therapy and their influence on the neoplastic process may be modified to a certain degree. Identification of modifiable factors may contribute to development of prevention strategies decreasing breast cancer incidence.

  20. Increasing Breast Cancer Surveillance among African American Breast Cancer Survivors

    Science.gov (United States)

    2005-07-01

    Madam , The project entitled INCREASING BREAST CANCER SURVEILLANCE AMONG AFRICAN AMERICAN BREAST CANCER SURVIVORS includes activities involving human...B b- d § fr. Thomisonwill Work e .y .With’Dra) Vdldf naTir, W and y Bo • rganif Janidorf on data a"_`l- ssi reatihfiutfor pres~entatidns and publi

  1. Drugs Approved for Breast Cancer

    Science.gov (United States)

    This page lists cancer drugs approved by the Food and Drug Administration (FDA) for breast cancer. The list includes generic names, brand names, and common drug combinations, which are shown in capital letters.

  2. Molecular epidemiology, and possible real-world applications in breast cancer.

    Science.gov (United States)

    Ito, Hidemi; Matsuo, Keitaro

    2016-01-01

    Gene-environment interaction, a key idea in molecular epidemiology, has enabled the development of personalized medicine. This concept includes personalized prevention. While genome-wide association studies have identified a number of genetic susceptibility loci in breast cancer risk, however, the application of this knowledge to practical prevention is still underway. Here, we briefly review the history of molecular epidemiology and its progress in breast cancer epidemiology. We then introduce our experience with the trial combination of GWAS-identified loci and well-established lifestyle and reproductive risk factors in the risk prediction of breast cancer. Finally, we report our exploration of the cumulative risk of breast cancer based on this risk prediction model as a potential tool for individual risk communication, including genetic risk factors and gene-environment interaction with obesity.

  3. Breast and Colon Cancer Family Registries

    Science.gov (United States)

    The Breast Cancer Family Registry and the Colon Cancer Family Registry were established by the National Cancer Institute as a resource for investigators to use in conducting studies on the genetics and molecular epidemiology of breast and colon cancer.

  4. Breast cancer screening in Korean woman with dense breast tissue

    Energy Technology Data Exchange (ETDEWEB)

    Shin, Hee Jung [Dept. of Radiology and Research Institute of Radiology, University of Ulsan College of Medicine, Asan Medical Center, Seoul (Korea, Republic of); Ko, Eun Sook [Dept. of Radiology, Sungkyunkwan University School of Medicine, Samsung Medical Center, Seoul (Korea, Republic of); Yi, Ann [Dept. of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul (Korea, Republic of)

    2015-11-15

    Asian women, including Korean, have a relatively higher incidence of dense breast tissue, compared with western women. Dense breast tissue has a lower sensitivity for the detection of breast cancer and a higher relative risk for breast cancer, compared with fatty breast tissue. Thus, there were limitations in the mammographic screening for women with dense breast tissue, and many studies for the supplemental screening methods. This review included appropriate screening methods for Korean women with dense breasts. We also reviewed the application and limitation of supplemental screening methods, including breast ultrasound, digital breast tomosynthesis, and breast magnetic resonance imaging; and furthermore investigated the guidelines, as well as the study results.

  5. Implementing an online tool for genome-wide validation of survival-associated biomarkers in ovarian-cancer using microarray data from 1287 patients

    DEFF Research Database (Denmark)

    Győrffy, Balázs; Lánczky, András; Szállási, Zoltán

    2012-01-01

    was set up using gene expression data and survival information of 1287 ovarian cancer patients downloaded from Gene Expression Omnibus and The Cancer Genome Atlas (Affymetrix HG-U133A, HG-U133A 2.0, and HG-U133 Plus 2.0 microarrays). After quality control and normalization, only probes present on all......). A Kaplan–Meier survival plot was generated and significance was computed. The tool can be accessed online at www.kmplot.com/ovar. We used this integrative data analysis tool to validate the prognostic power of 37 biomarkers identified in the literature. Of these, CA125 (MUC16; P=3.7x10–5, hazard ratio (HR...

  6. Height and Breast Cancer Risk

    DEFF Research Database (Denmark)

    Zhang, Ben; Shu, Xiao-Ou; Delahanty, Ryan J

    2015-01-01

    BACKGROUND: Epidemiological studies have linked adult height with breast cancer risk in women. However, the magnitude of the association, particularly by subtypes of breast cancer, has not been established. Furthermore, the mechanisms of the association remain unclear. METHODS: We performed a met...

  7. Circadian clocks and breast cancer

    OpenAIRE

    Blakeman, Victoria; Jack L. Williams; Meng, Qing-Jun; Streuli, Charles H

    2016-01-01

    Circadian clocks respond to environmental time cues to coordinate 24-hour oscillations in almost every tissue of the body. In the breast, circadian clocks regulate the rhythmic expression of numerous genes. Disrupted expression of circadian genes can alter breast biology and may promote cancer. Here we overview circadian mechanisms, and the connection between the molecular clock and breast biology. We describe how disruption of circadian genes contributes to cancer via multiple mechanisms, an...

  8. [Therapeutic advances in breast cancer].

    Science.gov (United States)

    Pestalozzi, B C

    2006-04-01

    The treatment of breast cancer has made significant improvements during the past ten years. For early breast cancer with a clinically negative axilla sentinel node biopsy has become the preferred approach. For endocrine therapy of postmenopausal patients the selective aromatase inhibitors have become standard in metastatic as well as in early breast cancer. Trastuzumab (Herceptin) plays an important role in the treatment of HER2-positive breast cancer in the metastatic and since 2005 also in the adjuvant setting. When chemotherapy is used to treat metastatic breast cancer drug combinations are superior to monotherapy only in terms of response rates. By contrast, in the adjuvant setting combination drug therapy is the standard. New methods of tissue analysis including expression patterns of mRNA and proteins are promising research strategies to further advance the field.

  9. Decline in breast cancer mortality

    DEFF Research Database (Denmark)

    Njor, Sisse Helle; Schwartz, Walter; Blichert-Toft, Mogens

    2015-01-01

    OBJECTIVES: When estimating the decline in breast cancer mortality attributable to screening, the challenge is to provide valid comparison groups and to distinguish the screening effect from other effects. In Funen, Denmark, multidisciplinary breast cancer management teams started before screening...... was introduced; both activities came later in the rest of Denmark. Because Denmark had national protocols for breast cancer treatment, but hardly any opportunistic screening, Funen formed a "natural experiment", providing valid comparison groups and enabling the separation of the effect of screening from other...... factors. METHODS: Using Poisson regression we compared the observed breast cancer mortality rate in Funen after implementation of screening with the expected rate without screening. The latter was estimated from breast cancer mortality in the rest of Denmark controlled for historical differences between...

  10. Unemployment among breast cancer survivors

    DEFF Research Database (Denmark)

    Carlsen, Kathrine; Ewertz, Marianne; Dalton, Susanne Oksbjerg

    2014-01-01

    AIM: Though about 20% of working age breast cancer survivors do not return to work after treatment, few studies have addressed risk factors for unemployment. The majority of studies on occupational consequences of breast cancer focus on non-employment, which is a mixture of sickness absence......, unemployment, retirement pensions and other reasons for not working. Unemployment in combination with breast cancer may represent a particular challenge for these women. The aim of the present study is therefore to analyze the risk for unemployment in the years following diagnosis and treatment for breast...... cancer. METHOD: This study included 14,750 women diagnosed with breast cancer in Denmark 2001-2009 identified through a population-based clinical database and linked with information from Danish administrative population based registers for information on labour market affiliation, socio...

  11. Statins and breast cancer prognosis

    DEFF Research Database (Denmark)

    Ahern, Thomas P; Lash, Timothy L; Damkier, Per

    2014-01-01

    Much preclinical and epidemiological evidence supports the anticancer effects of statins. Epidemiological evidence does not suggest an association between statin use and reduced incidence of breast cancer, but does support a protective effect of statins-especially simvastatin-on breast cancer...... recurrence. Here, we argue that the existing evidence base is sufficient to justify a clinical trial of breast cancer adjuvant therapy with statins and we advocate for such a trial to be initiated without delay. If a protective effect of statins on breast cancer recurrence is supported by trial evidence......, then the indications for a safe, well tolerated, and inexpensive treatment can be expanded to improve outcomes for breast cancer survivors. We discuss several trial design opportunities-including candidate predictive biomarkers of statin safety and efficacy-and off er solutions to the key challenges involved...

  12. A genome-wide association study identifies pancreatic cancer susceptibility loci on chromosomes 13q22.1, 1q32.1 and 5p15.33

    Science.gov (United States)

    Petersen, Gloria M.; Amundadottir, Laufey; Fuchs, Charles S.; Kraft, Peter; Stolzenberg-Solomon, Rachael Z.; Jacobs, Kevin B.; Arslan, Alan A.; Bueno-de-Mesquita, H. Bas; Gallinger, Steven; Gross, Myron; Helzlsouer, Kathy; Holly, Elizabeth A.; Jacobs, Eric J.; Klein, Alison P.; LaCroix, Andrea; Li, Donghui; Mandelson, Margaret T.; Olson, Sara H.; Risch, Harvey A.; Zheng, Wei; Albanes, Demetrius; Bamlet, William R.; Berg, Christine D.; Boutron-Ruault, Marie-Christine; Buring, Julie E.; Bracci, Paige M.; Canzian, Federico; Clipp, Sandra; Cotterchio, Michelle; de Andrade, Mariza; Duell, Eric J.; Gaziano, J. Michael; Giovannucci, Edward L.; Goggins, Michael; Hallmans, Göran; Hankinson, Susan E.; Hassan, Manal; Howard, Barbara; Hunter, David J.; Hutchinson, Amy; Jenab, Mazda; Kaaks, Rudolf; Kooperberg, Charles; Krogh, Vittorio; Kurtz, Robert C.; Lynch, Shannon M.; McWilliams, Robert R.; Mendelsohn, Julie B.; Michaud, Dominique S.; Parikh, Hemang; Patel, Alpa V.; Peeters, Petra H.M.; Rajkovic, Aleksandar; Riboli, Elio; Rodriguez, Laudina; Seminara, Daniela; Shu, Xiao-Ou; Thomas, Gilles; Tjønneland, Anne; Tobias, Geoffrey S.; Trichopoulos, Dimitrios; Van Den Eeden, Stephen K.; Virtamo, Jarmo; Wactawski-Wende, Jean; Wang, Zhaoming; Wolpin, Brian M.; Yu, Herbert; Yu, Kai; Zeleniuch-Jacquotte, Anne; Fraumeni, Joseph F.; Hoover, Robert N.; Hartge, Patricia; Chanock, Stephen J.

    2010-01-01

    We conducted a genome-wide association study (GWAS) of pancreatic cancer in 3,851 cases and 3,934 controls drawn from twelve prospective cohort studies and eight case-control studies. Based on a logistic regression model for genotype trend effect that was adjusted for study, age, sex, self-described ancestry and five principal components, we identified eight SNPs that map to three loci on chromosomes 13q22.1, 1q32.1 and 5p15.33. Two correlated SNPs, rs9543325 (P=3.27×10−11; per allele odds ratio, OR 1.26, 95% CI=1.18-1.35) and rs9564966 (P=5.86×10−8; per allele OR 1.21, 95% CI=1.13-1.30) map to a non-genic region on chromosome 13q22.1. Five SNPs on 1q32.1 map to NR5A2; the strongest signal was rs3790844 (P=2.45×10−10; per allele OR 0.77, 95% CI=0.71-0.84). A single SNP, rs401681 (P=3.66×10−7; per allele OR 1.19, 95% CI=1.11-1.27) maps to the CLPTM1L-TERT locus on 5p15.33, associated with multiple cancers. Our study has identified common susceptibility loci for pancreatic cancer that warrant follow-up studies. PMID:20101243

  13. Characterization of genomic alterations in radiation-associated breast cancer among childhood cancer survivors, using comparative genomic hybridization (CGH arrays.

    Directory of Open Access Journals (Sweden)

    Xiaohong R Yang

    Full Text Available Ionizing radiation is an established risk factor for breast cancer. Epidemiologic studies of radiation-exposed cohorts have been primarily descriptive; molecular events responsible for the development of radiation-associated breast cancer have not been elucidated. In this study, we used array comparative genomic hybridization (array-CGH to characterize genome-wide copy number changes in breast tumors collected in the Childhood Cancer Survivor Study (CCSS. Array-CGH data were obtained from 32 cases who developed a second primary breast cancer following chest irradiation at early ages for the treatment of their first cancers, mostly Hodgkin lymphoma. The majority of these cases developed breast cancer before age 45 (91%, n = 29, had invasive ductal tumors (81%, n = 26, estrogen receptor (ER-positive staining (68%, n = 19 out of 28, and high proliferation as indicated by high Ki-67 staining (77%, n = 17 out of 22. Genomic regions with low-copy number gains and losses and high-level amplifications were similar to what has been reported in sporadic breast tumors, however, the frequency of amplifications of the 17q12 region containing human epidermal growth factor receptor 2 (HER2 was much higher among CCSS cases (38%, n = 12. Our findings suggest that second primary breast cancers in CCSS were enriched for an "amplifier" genomic subgroup with highly proliferative breast tumors. Future investigation in a larger irradiated cohort will be needed to confirm our findings.

  14. Pregnancy associated breast cancer and pregnancy after breast cancer treatment

    OpenAIRE

    Doğer, Emek; Çalışkan, Eray; Mallmann, Peter

    2011-01-01

    Breast cancer is one of the most common cancers diagnosed during pregnancy and its frequency is increasing as more women postpone their pregnancies to their thirties and forties. Breast cancer diagnosis during pregnancy and lactation is difficult and complex both for the patient and doctors. Delay in diagnosis is frequent and treatment modalities are difficult to accept for the pregnant women. The common treatment approach is surgery after diagnosis, chemotherapy after the first trimester and...

  15. Genome-wide CNV analysis replicates the association between GSTM1 deletion and bladder cancer: a support for using continuous measurement from SNP-array data

    Directory of Open Access Journals (Sweden)

    Marenne Gaëlle

    2012-07-01

    Full Text Available Abstract Background Structural variations such as copy number variants (CNV influence the expression of different phenotypic traits. Algorithms to identify CNVs through SNP-array platforms are available. The ability to evaluate well-characterized CNVs such as GSTM1 (1p13.3 deletion provides an important opportunity to assess their performance. Results 773 cases and 759 controls from the SBC/EPICURO Study were genotyped in the GSTM1 region using TaqMan, Multiplex Ligation-dependent Probe Amplification (MLPA, and Illumina Infinium 1 M SNP-array platforms. CNV callings provided by TaqMan and MLPA were highly concordant and replicated the association between GSTM1 and bladder cancer. This was not the case when CNVs were called using Illumina 1 M data through available algorithms since no deletion was detected across the study samples. In contrast, when the Log R Ratio (LRR was used as a continuous measure for the 5 probes contained in this locus, we were able to detect their association with bladder cancer using simple regression models or more sophisticated methods such as the ones implemented in the CNVtools package. Conclusions This study highlights an important limitation in the CNV calling from SNP-array data in regions of common aberrations and suggests that there may be added advantage for using LRR as a continuous measure in association tests rather than relying on calling algorithms.

  16. Optimal breast cancer pathology manifesto.

    Science.gov (United States)

    Tot, T; Viale, G; Rutgers, E; Bergsten-Nordström, E; Costa, A

    2015-11-01

    This manifesto was prepared by a European Breast Cancer (EBC) Council working group and launched at the European Breast Cancer Conference in Glasgow on 20 March 2014. It sets out optimal technical and organisational requirements for a breast cancer pathology service, in the light of concerns about variability and lack of patient-centred focus. It is not a guideline about how pathology services should be performed. It is a call for all in the cancer community--pathologists, oncologists, patient advocates, health administrators and policymakers--to check that services are available that serve the needs of patients in a high quality, timely way.

  17. Biomarkers in Tissue Samples From Patients With Newly Diagnosed Breast Cancer Treated With Zoledronic Acid

    Science.gov (United States)

    2016-07-12

    Estrogen Receptor-positive Breast Cancer; Invasive Ductal Breast Carcinoma; Progesterone Receptor-positive Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer

  18. Genome-wide screening reveals an EMT molecular network mediated by Sonic hedgehog-Gli1 signaling in pancreatic cancer cells.

    Directory of Open Access Journals (Sweden)

    Xuanfu Xu

    Full Text Available AIMS: The role of sonic hedgehog (SHH in epithelial mesenchymal transition (EMT of pancreatic cancer (PC is known, however, its mechanism is unclear. Because SHH promotes tumor development predominantly through Gli1, we sought to understand its mechanism by identifying Gli1 targets in pancreatic cancer cells. METHODS: First, we investigated invasion, migration, and EMT in PC cells transfected with lentiviral Gli1 interference vectors or SHH over-expression vectors in vitro and in vivo. Next, we determined the target gene profiles of Gli1 in PC cells using cDNA microarray assays. Finally, the primary regulatory networks downstream of SHH-Gli1 signaling in PC cells were studied through functional analyses of these targets. RESULTS: Our results indicate there is decreased E-cadherin expression upon increased expression of SHH/Gli1. Migration of PC cells increased significantly in a dose-dependent manner within 24 hours of Gli1 expression (P<0.05. The ratio of liver metastasis and intrasplenic miniature metastasis increased markedly upon activation of SHH-Gli1 signals in nude mice. Using cDNA microarray, we identified 278 upregulated and 59 downregulated genes upon Gli1 expression in AsPC-1 cells. The data indicate that SHH-Gli1 signals promote EMT by mediating a complex signaling network including TGFβ, Ras, Wnt, growth factors, PI3K/AKT, integrins, transmembrane 4 superfamily (TM4SF, and S100A4. CONCLUSION: Our results suggest that targeting the molecular connections established between SHH-Gli1 signaling and EMT could provide effective therapies for PC.

  19. Common breast cancer-predisposition alleles are associated with breast cancer risk in BRCA1 and BRCA2 mutation carriers

    DEFF Research Database (Denmark)

    Antoniou, Antonis C; Spurdle, Amanda B; Sinilnikova, Olga M;

    2008-01-01

    Germline mutations in BRCA1 and BRCA2 confer high risks of breast cancer. However, evidence suggests that these risks are modified by other genetic or environmental factors that cluster in families. A recent genome-wide association study has shown that common alleles at single nucleotide...... polymorphisms (SNPs) in FGFR2 (rs2981582), TNRC9 (rs3803662), and MAP3K1 (rs889312) are associated with increased breast cancer risks in the general population. To investigate whether these loci are also associated with breast cancer risk in BRCA1 and BRCA2 mutation carriers, we genotyped these SNPs in a sample...... of 10,358 mutation carriers from 23 studies. The minor alleles of SNP rs2981582 and rs889312 were each associated with increased breast cancer risk in BRCA2 mutation carriers (per-allele hazard ratio [HR] = 1.32, 95% CI: 1.20-1.45, p(trend) = 1.7 x 10(-8) and HR = 1.12, 95% CI: 1.02-1.24, p(trend) = 0...

  20. Aluminium, antiperspirants and breast cancer.

    Science.gov (United States)

    Darbre, P D

    2005-09-01

    Aluminium salts are used as the active antiperspirant agent in underarm cosmetics, but the effects of widespread, long term and increasing use remain unknown, especially in relation to the breast, which is a local area of application. Clinical studies showing a disproportionately high incidence of breast cancer in the upper outer quadrant of the breast together with reports of genomic instability in outer quadrants of the breast provide supporting evidence for a role for locally applied cosmetic chemicals in the development of breast cancer. Aluminium is known to have a genotoxic profile, capable of causing both DNA alterations and epigenetic effects, and this would be consistent with a potential role in breast cancer if such effects occurred in breast cells. Oestrogen is a well established influence in breast cancer and its action, dependent on intracellular receptors which function as ligand-activated zinc finger transcription factors, suggests one possible point of interference from aluminium. Results reported here demonstrate that aluminium in the form of aluminium chloride or aluminium chlorhydrate can interfere with the function of oestrogen receptors of MCF7 human breast cancer cells both in terms of ligand binding and in terms of oestrogen-regulated reporter gene expression. This adds aluminium to the increasing list of metals capable of interfering with oestrogen action and termed metalloestrogens. Further studies are now needed to identify the molecular basis of this action, the longer term effects of aluminium exposure and whether aluminium can cause aberrations to other signalling pathways in breast cells. Given the wide exposure of the human population to antiperspirants, it will be important to establish dermal absorption in the local area of the breast and whether long term low level absorption could play a role in the increasing incidence of breast cancer.

  1. Breast Cancer Center Support Grant

    Science.gov (United States)

    1999-09-01

    also occur with increased frequency in gene carriers, such prostate cancer. First-degree relatives of individuals with a BRCA1 or BRCA2 mutation have...Tumor M 36 Asian Prostate Cancer M 52 Caucasian Ovarian Cancer F 56 Caucasian Cervical Cancer F 43 Caucasian Breast Cancer F 45 Caucasian Cancer of...address transportation barriers, alternate mechanisms were put in place for provision of parking and taxi vouchers. It was expected that many of the women

  2. A single nucleotide polymorphism of the TNRC9 gene associated with breast cancer risk in Chinese Han women.

    Science.gov (United States)

    Chen, F; Zhou, J; Xue, Y; Yang, S; Xiong, M; Li, Y; Liu, Q

    2014-01-01

    A single nucleotide polymorphism (SNP) in the TNRC9 gene was identified as a breast cancer susceptibility genetic variant in recent genome-wide association studies of women of European ancestry. We investigated whether TNRC9 polymorphisms are associated with risk of breast cancer in Chinese women of the Han nationality. We genotyped the SNPs rs3803662, rs1362548, rs1123428 in 870 women, including 388 breast cancer patients and 482 healthy controls, via the PCR-single strand conformation polymorphism procedure and by sequence detection. We found that the T allele and the TT genotype of the SNP rs38033662 is significantly associated with risk for breast cancer in Chinese Han women; however, no significant association was found for rs1362548 or rs1123428. We conclude that SNP rs3803662 is a putative risk factor for breast cancer in Chinese Han women.

  3. The Pittsburgh Breast Cancer Consortium

    Science.gov (United States)

    2005-08-01

    Protein Autovac in Patients with Brest Cancer CPharmexa). This trial was initiated in June 2003. The PBCC accrued 5 of the planned 11 patients. This...AD_________________ Award Number: DAMD17-01-1-0374 TITLE: The Pittsburgh Breast Cancer Consortium...3. DATES COVERED 1 AUG 2001 - 31 JUL 2005 4. TITLE AND SUBTITLE The Pittsburgh Breast Cancer Consortium 5a. CONTRACT NUMBER 5b. GRANT

  4. Epigenetics and Breast Cancers

    Directory of Open Access Journals (Sweden)

    An T. Vo

    2012-01-01

    Full Text Available Several of the active compounds in foods, poisons, drugs, and industrial chemicals may, by epigenetic mechanisms, increase or decrease the risk of breast cancers. Enzymes that are involved in DNA methylation and histone modifications have been shown to be altered in several types of breast and other cancers resulting in abnormal patterns of methylation and/or acetylation. Hypermethylation at the CpG islands found in estrogen response element (ERE promoters occurs in conjunction with ligand-bonded alpha subunit estrogen receptor (Erα dimers wherein the ligand ERα dimer complex acts as a transcription factor and binds to the ERE promoter. Ligands could be 17-β-estradiol (E2, phytoestrogens, heterocyclic amines, and many other identified food additives and heavy metals. The dimer recruits DNA methyltransferases which catalyze the transfer of methyl groups from S-adenosyl-L-methionine (SAM to 5′-cytosine on CpG islands. Other enzymes are recruited to the region by ligand-ERα dimers which activate DNA demethylases to act simultaneously to increase gene expression of protooncogenes and growth-promoting genes. Ligand-ERα dimers also recruit histone acetyltransferase to the ERE promoter region. Histone demethylases such as JMJD2B and histone methyltransferases are enzymes which demethylate lysine residues on histones H3 and/or H4. This makes the chromatin accessible for transcription factors and enzymes.

  5. Diet and breast cancer

    Directory of Open Access Journals (Sweden)

    Isabelle Romieu

    2011-10-01

    Full Text Available Both diet and nutrition have been studied in relationship with breast cancer risk, as the great variation among different countries in breast cancer incidence could possibly be explained through the inflammatory and immune response, as well as antioxidant intake, among others.To date, no clear association with diet beyond overweight and weight gain has been found, except for alcohol consumption. Nonetheless, the small number of studies done in middle to low income countries where variability of food intake is wider,is beginning to show interesting results.Tanto la dieta como la nutrición han sido estudiadas en relación con el riesgo de cáncer de mama, dada la gran variación de incidencia de cáncer entre países, y la posibilidad de explicarla a través de la respuesta inflamatoria o inmune, así como ingesta de antioxidantes,entre otros.Hasta la fecha, ninguna asociación clara con la dieta ha sido encontrada, excepto para el consumo de alcohol, más allá del sobrepeso y del incremento de peso. Sin embargo, los estudios que se están realizando en países de mediano a bajo nivel de ingresos, con mayor variabilidad de ingesta de alimentos, comienzan a mostrar resultados interesantes.

  6. A genome-wide RNAi screen identifies FOXO4 as a metastasis-suppressor through counteracting PI3K/AKT signal pathway in prostate cancer.

    Directory of Open Access Journals (Sweden)

    Bing Su

    Full Text Available Activation of the PI3K/AKT signal pathway is a known driving force for the progression to castration-recurrent prostate cancer (CR-CaP, which constitutes the major lethal phenotype of CaP. Here, we identify using a genomic shRNA screen the PI3K/AKT-inactivating downstream target, FOXO4, as a potential CaP metastasis suppressor. FOXO4 protein levels inversely correlate with the invasive potential of a panel of human CaP cell lines, with decreased mRNA levels correlating with increased incidence of clinical metastasis. Knockdown (KD of FOXO4 in human LNCaP cells causes increased invasion in vitro and lymph node (LN metastasis in vivo without affecting indices of proliferation or apoptosis. Increased Matrigel invasiveness was found by KD of FOXO1 but not FOXO3. Comparison of differentially expressed genes affected by FOXO4-KD in LNCaP cells in culture, in primary tumors and in LN metastases identified a panel of upregulated genes, including PIP, CAMK2N1, PLA2G16 and PGC, which, if knocked down by siRNA, could decrease the increased invasiveness associated with FOXO4 deficiency. Although only some of these genes encode FOXO promoter binding sites, they are all RUNX2-inducible, and RUNX2 binding to the PIP promoter is increased in FOXO4-KD cells. Indeed, the forced expression of FOXO4 reversed the increased invasiveness of LNCaP/shFOXO4 cells; the forced expression of FOXO4 did not alter RUNX2 protein levels, yet it decreased RUNX2 binding to the PIP promoter, resulting in PIP downregulation. Finally, there was a correlation between FOXO4, but not FOXO1 or FOXO3, downregulation and decreased metastasis-free survival in human CaP patients. Our data strongly suggest that increased PI3K/AKT-mediated metastatic invasiveness in CaP is associated with FOXO4 loss, and that mechanisms to induce FOXO4 re-expression might suppress CaP metastatic aggressiveness.

  7. MicroRNA related polymorphisms and breast cancer risk.

    Science.gov (United States)

    Khan, Sofia; Greco, Dario; Michailidou, Kyriaki; Milne, Roger L; Muranen, Taru A; Heikkinen, Tuomas; Aaltonen, Kirsimari; Dennis, Joe; Bolla, Manjeet K; Liu, Jianjun; Hall, Per; Irwanto, Astrid; Humphreys, Keith; Li, Jingmei; Czene, Kamila; Chang-Claude, Jenny; Hein, Rebecca; Rudolph, Anja; Seibold, Petra; Flesch-Janys, Dieter; Fletcher, Olivia; Peto, Julian; dos Santos Silva, Isabel; Johnson, Nichola; Gibson, Lorna; Aitken, Zoe; Hopper, John L; Tsimiklis, Helen; Bui, Minh; Makalic, Enes; Schmidt, Daniel F; Southey, Melissa C; Apicella, Carmel; Stone, Jennifer; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel A; van der Luijt, Rob B; Meindl, Alfons; Schmutzler, Rita K; Müller-Myhsok, Bertram; Lichtner, Peter; Turnbull, Clare; Rahman, Nazneen; Chanock, Stephen J; Hunter, David J; Cox, Angela; Cross, Simon S; Reed, Malcolm W R; Schmidt, Marjanka K; Broeks, Annegien; Van't Veer, Laura J; Hogervorst, Frans B; Fasching, Peter A; Schrauder, Michael G; Ekici, Arif B; Beckmann, Matthias W; Bojesen, Stig E; Nordestgaard, Børge G; Nielsen, Sune F; Flyger, Henrik; Benitez, Javier; Zamora, Pilar M; Perez, Jose I A; Haiman, Christopher A; Henderson, Brian E; Schumacher, Fredrick; Le Marchand, Loic; Pharoah, Paul D P; Dunning, Alison M; Shah, Mitul; Luben, Robert; Brown, Judith; Couch, Fergus J; Wang, Xianshu; Vachon, Celine; Olson, Janet E; Lambrechts, Diether; Moisse, Matthieu; Paridaens, Robert; Christiaens, Marie-Rose; Guénel, Pascal; Truong, Thérèse; Laurent-Puig, Pierre; Mulot, Claire; Marme, Frederick; Burwinkel, Barbara; Schneeweiss, Andreas; Sohn, Christof; Sawyer, Elinor J; Tomlinson, Ian; Kerin, Michael J; Miller, Nicola; Andrulis, Irene L; Knight, Julia A; Tchatchou, Sandrine; Mulligan, Anna Marie; Dörk, Thilo; Bogdanova, Natalia V; Antonenkova, Natalia N; Anton-Culver, Hoda; Darabi, Hatef; Eriksson, Mikael; Garcia-Closas, Montserrat; Figueroa, Jonine; Lissowska, Jolanta; Brinton, Louise; Devilee, Peter; Tollenaar, Robert A E M; Seynaeve, Caroline; van Asperen, Christi J; Kristensen, Vessela N; Slager, Susan; Toland, Amanda E; Ambrosone, Christine B; Yannoukakos, Drakoulis; Lindblom, Annika; Margolin, Sara; Radice, Paolo; Peterlongo, Paolo; Barile, Monica; Mariani, Paolo; Hooning, Maartje J; Martens, John W M; Collée, J Margriet; Jager, Agnes; Jakubowska, Anna; Lubinski, Jan; Jaworska-Bieniek, Katarzyna; Durda, Katarzyna; Giles, Graham G; McLean, Catriona; Brauch, Hiltrud; Brüning, Thomas; Ko, Yon-Dschun; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Swerdlow, Anthony; Ashworth, Alan; Orr, Nick; Jones, Michael; Simard, Jacques; Goldberg, Mark S; Labrèche, France; Dumont, Martine; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Mannermaa, Arto; Hamann, Ute; Chenevix-Trench, Georgia; Blomqvist, Carl; Aittomäki, Kristiina; Easton, Douglas F; Nevanlinna, Heli

    2014-01-01

    Genetic variations, such as single nucleotide polymorphisms (SNPs) in microRNAs (miRNA) or in the miRNA binding sites may affect the miRNA dependent gene expression regulation, which has been implicated in various cancers, including breast cancer, and may alter individual susceptibility to cancer. We investigated associations between miRNA related SNPs and breast cancer risk. First we evaluated 2,196 SNPs in a case-control study combining nine genome wide association studies (GWAS). Second, we further investigated 42 SNPs with suggestive evidence for association using 41,785 cases and 41,880 controls from 41 studies included in the Breast Cancer Association Consortium (BCAC). Combining the GWAS and BCAC data within a meta-analysis, we estimated main effects on breast cancer risk as well as risks for estrogen receptor (ER) and age defined subgroups. Five miRNA binding site SNPs associated significantly with breast cancer risk: rs1045494 (odds ratio (OR) 0.92; 95% confidence interval (CI): 0.88-0.96), rs1052532 (OR 0.97; 95% CI: 0.95-0.99), rs10719 (OR 0.97; 95% CI: 0.94-0.99), rs4687554 (OR 0.97; 95% CI: 0.95-0.99, and rs3134615 (OR 1.03; 95% CI: 1.01-1.05) located in the 3' UTR of CASP8, HDDC3, DROSHA, MUSTN1, and MYCL1, respectively. DROSHA belongs to miRNA machinery genes and has a central role in initial miRNA processing. The remaining genes are involved in different molecular functions, including apoptosis and gene expression regulation. Further studies are warranted to elucidate whether the miRNA binding site SNPs are the causative variants for the observed risk effects.

  8. MicroRNA related polymorphisms and breast cancer risk.

    Directory of Open Access Journals (Sweden)

    Sofia Khan

    Full Text Available Genetic variations, such as single nucleotide polymorphisms (SNPs in microRNAs (miRNA or in the miRNA binding sites may affect the miRNA dependent gene expression regulation, which has been implicated in various cancers, including breast cancer, and may alter individual susceptibility to cancer. We investigated associations between miRNA related SNPs and breast cancer risk. First we evaluated 2,196 SNPs in a case-control study combining nine genome wide association studies (GWAS. Second, we further investigated 42 SNPs with suggestive evidence for association using 41,785 cases and 41,880 controls from 41 studies included in the Breast Cancer Association Consortium (BCAC. Combining the GWAS and BCAC data within a meta-analysis, we estimated main effects on breast cancer risk as well as risks for estrogen receptor (ER and age defined subgroups. Five miRNA binding site SNPs associated significantly with breast cancer risk: rs1045494 (odds ratio (OR 0.92; 95% confidence interval (CI: 0.88-0.96, rs1052532 (OR 0.97; 95% CI: 0.95-0.99, rs10719 (OR 0.97; 95% CI: 0.94-0.99, rs4687554 (OR 0.97; 95% CI: 0.95-0.99, and rs3134615 (OR 1.03; 95% CI: 1.01-1.05 located in the 3' UTR of CASP8, HDDC3, DROSHA, MUSTN1, and MYCL1, respectively. DROSHA belongs to miRNA machinery genes and has a central role in initial miRNA processing. The remaining genes are involved in different molecular functions, including apoptosis and gene expression regulation. Further studies are warranted to elucidate whether the miRNA binding site SNPs are the causative variants for the observed risk effects.

  9. MicroRNA Related Polymorphisms and Breast Cancer Risk

    Science.gov (United States)

    Khan, Sofia; Greco, Dario; Michailidou, Kyriaki; Milne, Roger L.; Muranen, Taru A.; Heikkinen, Tuomas; Aaltonen, Kirsimari; Dennis, Joe; Bolla, Manjeet K.; Liu, Jianjun; Hall, Per; Irwanto, Astrid; Humphreys, Keith; Li, Jingmei; Czene, Kamila; Chang-Claude, Jenny; Hein, Rebecca; Rudolph, Anja; Seibold, Petra; Flesch-Janys, Dieter; Fletcher, Olivia; Peto, Julian; dos Santos Silva, Isabel; Johnson, Nichola; Gibson, Lorna; Aitken, Zoe; Hopper, John L.; Tsimiklis, Helen; Bui, Minh; Makalic, Enes; Schmidt, Daniel F.; Southey, Melissa C.; Apicella, Carmel; Stone, Jennifer; Waisfisz, Quinten; Meijers-Heijboer, Hanne; Adank, Muriel A.; van der Luijt, Rob B.; Meindl, Alfons; Schmutzler, Rita K.; Müller-Myhsok, Bertram; Lichtner, Peter; Turnbull, Clare; Rahman, Nazneen; Chanock, Stephen J.; Hunter, David J.; Cox, Angela; Cross, Simon S.; Reed, Malcolm W. R.; Schmidt, Marjanka K.; Broeks, Annegien; Veer, Laura J. V. a. n't.; Hogervorst, Frans B.; Fasching, Peter A.; Schrauder, Michael G.; Ekici, Arif B.; Beckmann, Matthias W.; Bojesen, Stig E.; Nordestgaard, Børge G.; Nielsen, Sune F.; Flyger, Henrik; Benitez, Javier; Zamora, Pilar M.; Perez, Jose I. A.; Haiman, Christopher A.; Henderson, Brian E.; Schumacher, Fredrick; Le Marchand, Loic; Pharoah, Paul D. P.; Dunning, Alison M.; Shah, Mitul; Luben, Robert; Brown, Judith; Couch, Fergus J.; Wang, Xianshu; Vachon, Celine; Olson, Janet E.; Lambrechts, Diether; Moisse, Matthieu; Paridaens, Robert; Christiaens, Marie-Rose; Guénel, Pascal; Truong, Thérèse; Laurent-Puig, Pierre; Mulot, Claire; Marme, Frederick; Burwinkel, Barbara; Schneeweiss, Andreas; Sohn, Christof; Sawyer, Elinor J.; Tomlinson, Ian; Kerin, Michael J.; Miller, Nicola; Andrulis, Irene L.; Knight, Julia A.; Tchatchou, Sandrine; Mulligan, Anna Marie; Dörk, Thilo; Bogdanova, Natalia V.; Antonenkova, Natalia N.; Anton-Culver, Hoda; Darabi, Hatef; Eriksson, Mikael; Garcia-Closas, Montserrat; Figueroa, Jonine; Lissowska, Jolanta; Brinton, Louise; Devilee, Peter; Tollenaar, Robert A. E. M.; Seynaeve, Caroline; van Asperen, Christi J.; Kristensen, Vessela N.; Slager, Susan; Toland, Amanda E.; Ambrosone, Christine B.; Yannoukakos, Drakoulis; Lindblom, Annika; Margolin, Sara; Radice, Paolo; Peterlongo, Paolo; Barile, Monica; Mariani, Paolo; Hooning, Maartje J.; Martens, John W. M.; Collée, J. Margriet; Jager, Agnes; Jakubowska, Anna; Lubinski, Jan; Jaworska-Bieniek, Katarzyna; Durda, Katarzyna; Giles, Graham G.; McLean, Catriona; Brauch, Hiltrud; Brüning, Thomas; Ko, Yon-Dschun; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Swerdlow, Anthony; Ashworth, Alan; Orr, Nick; Jones, Michael; Simard, Jacques; Goldberg, Mark S.; Labrèche, France; Dumont, Martine; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M.; Mannermaa, Arto; Hamann, Ute; Chenevix-Trench, Georgia; Blomqvist, Carl; Aittomäki, Kristiina; Easton, Douglas F.; Nevanlinna, Heli

    2014-01-01

    Genetic variations, such as single nucleotide polymorphisms (SNPs) in microRNAs (miRNA) or in the miRNA binding sites may affect the miRNA dependent gene expression regulation, which has been implicated in various cancers, including breast cancer, and may alter individual susceptibility to cancer. We investigated associations between miRNA related SNPs and breast cancer risk. First we evaluated 2,196 SNPs in a case-control study combining nine genome wide association studies (GWAS). Second, we further investigated 42 SNPs with suggestive evidence for association using 41,785 cases and 41,880 controls from 41 studies included in the Breast Cancer Association Consortium (BCAC). Combining the GWAS and BCAC data within a meta-analysis, we estimated main effects on breast cancer risk as well as risks for estrogen receptor (ER) and age defined subgroups. Five miRNA binding site SNPs associated significantly with breast cancer risk: rs1045494 (odds ratio (OR) 0.92; 95% confidence interval (CI): 0.88–0.96), rs1052532 (OR 0.97; 95% CI: 0.95–0.99), rs10719 (OR 0.97; 95% CI: 0.94–0.99), rs4687554 (OR 0.97; 95% CI: 0.95–0.99, and rs3134615 (OR 1.03; 95% CI: 1.01–1.05) located in the 3′ UTR of CASP8, HDDC3, DROSHA, MUSTN1, and MYCL1, respectively. DROSHA belongs to miRNA machinery genes and has a central role in initial miRNA processing. The remaining genes are involved in different molecular functions, including apoptosis and gene expression regulation. Further studies are warranted to elucidate whether the miRNA binding site SNPs are the causative variants for the observed risk effects. PMID:25390939

  10. Other Considerations for Pregnancy and Breast Cancer

    Science.gov (United States)

    ... the survival of women who have had breast cancer in the past. Lactation (breast milk production) and breast-feeding should be stopped if ... methotrexate , may occur in high levels in breast milk and may harm the nursing baby. Women ... Breast cancer does not appear to harm the unborn baby. ...

  11. General Information about Breast Cancer and Pregnancy

    Science.gov (United States)

    ... the survival of women who have had breast cancer in the past. Lactation (breast milk production) and breast-feeding should be stopped if ... methotrexate , may occur in high levels in breast milk and may harm the nursing baby. Women ... Breast cancer does not appear to harm the unborn baby. ...

  12. Breast Cancer Chemotherapy and Your Heart

    Science.gov (United States)

    ... American Heart Association Cardiology Patient Page Breast Cancer Chemotherapy and Your Heart Christine Unitt , Kamaneh Montazeri , Sara ... cancer treatments. Breast cancer treatments include the following: Chemotherapy involves drugs that are intended to kill the ...

  13. Miscellaneous syndromes and their management: occult breast cancer, breast cancer in pregnancy, male breast cancer, surgery in stage IV disease.

    Science.gov (United States)

    Colfry, Alfred John

    2013-04-01

    Surgical therapy for occult breast cancer has traditionally centered on mastectomy; however, breast conservation with whole breast radiotherapy followed by axillary lymph node dissection has shown equivalent results. Patients with breast cancer in pregnancy can be safely and effectively treated; given a patient's pregnancy trimester and stage of breast cancer, a clinician must be able to guide therapy accordingly. Male breast cancer risk factors show strong association with BRCA2 mutations, as well as Klinefelter syndrome. Several retrospective trials of surgical therapy in stage IV breast cancer have associated a survival advantage with primary site tumor extirpation.

  14. Breast Cancer Types: What Your Type Means

    Science.gov (United States)

    ... what treatments are most effective. Parts of the breast where cancer begins include: Milk ducts. Ductal carcinoma is the most common type of breast cancer. This type of cancer forms in the lining of a milk duct within your breast. The ducts carry breast ...

  15. Identification of independent association signals and putative functional variants for breast cancer risk through fine-scale mapping of the 12p11 locus

    DEFF Research Database (Denmark)

    Zeng, Chenjie; Guo, Xingyi; Long, Jirong

    2016-01-01

    BACKGROUND: Multiple recent genome-wide association studies (GWAS) have identified a single nucleotide polymorphism (SNP), rs10771399, at 12p11 that is associated with breast cancer risk. METHOD: We performed a fine-scale mapping study of a 700 kb region including 441 genotyped and more than 1300...

  16. Polymorphisms in a Putative Enhancer at the 10q21.2 Breast Cancer Risk Locus Regulate NRBF2 Expression

    DEFF Research Database (Denmark)

    Darabi, Hatef; McCue, Karen; Beesley, Jonathan

    2015-01-01

    Genome-wide association studies have identified SNPs near ZNF365 at 10q21.2 that are associated with both breast cancer risk and mammographic density. To identify the most likely causal SNPs, we fine mapped the association signal by genotyping 428 SNPs across the region in 89,050 European and 12,...

  17. Genomewide high-density SNP linkage analysis of non-BRCA1/2 breast cancer families identifies various candidate regions and has greater power than microsatellite studies

    NARCIS (Netherlands)

    A. González-Neira (Anna); J.M. Rosa-Rosa; A. Osorio (Ana); E. Gonzalez (Emilio); M.C. Southey (Melissa); O. Sinilnikova (Olga); H. Lynch (Henry); R.A. Oldenburg (Rogier); C.J. van Asperen (Christi); N. Hoogerbrugge (Nicoline); G. Pita (G.); P. Devilee (Peter); D. Goldgar (David); J. Benítez (Javier)

    2007-01-01

    textabstractBackground: The recent development of new high-throughput technologies for SNP genotyping has opened the possibility of taking a genome-wide linkage approach to the search for new candidate genes involved in heredity diseases. The two major breast cancer susceptibility genes BRCA1 and BR

  18. Identification of independent association signals and putative functional variants for breast cancer risk through fine-scale mapping of the 12p11 locus

    NARCIS (Netherlands)

    C. Zeng (Chenjie); Guo, X. (Xingyi); J. Long (Jirong); K.B. Kuchenbaecker (Karoline); A. Droit (Arnaud); K. Michailidou (Kyriaki); M. Ghoussaini (Maya); S. Kar (Siddhartha); Freeman, A. (Adam); J.L. Hopper (John); R.L. Milne (Roger); M.K. Bolla (Manjeet K.); Wang, Q. (Qin); J. Dennis (Joe); S. Agata (Simona); S. Ahmed (Shahana); K. Aittomäki (Kristiina); I.L. Andrulis (Irene); H. Anton-Culver (Hoda); Antonenkova, N.N. (Natalia N.); A. Arason (Adalgeir); Arndt, V. (Volker); B.K. Arun (Banu); B. Arver (Brita Wasteson); F. Bacot (Francois); D. Barrowdale (Daniel); Baynes, C. (Caroline); A. Beeghly-Fadiel (Alicia); J. Benítez (Javier); M. Bermisheva (Marina); C. Blomqvist (Carl); W.J. Blot (William); N.V. Bogdanova (Natalia); S.E. Bojesen (Stig); B. Bonnani (Bernardo); A.-L. Borresen-Dale (Anne-Lise); J.S. Brand (Judith S.); H. Brauch (Hiltrud); P. Brennan (Paul); H. Brenner (Hermann); A. Broeks (Annegien); T. Brüning (Thomas); B. Burwinkel (Barbara); S.S. Buys (Saundra); Q. Cai (Qiuyin); T. Caldes (Trinidad); I. Campbell (Ian); T.A. Carpenter (Adrian); J. Chang-Claude (Jenny); Choi, J.-Y. (Ji-Yeob); K.B.M. Claes (Kathleen B.M.); C. Clarke (Christine); A. Cox (Angela); S.S. Cross (Simon); K. Czene (Kamila); M.B. Daly (Mary B.); M. de La Hoya (Miguel); K. De Leeneer (Kim); P. Devilee (Peter); O. Díez (Orland); S.M. Domchek (Susan); M. Doody (Michele); C.M. Dorfling (Cecilia); T. Dörk (Thilo); I. dos Santos Silva (Isabel); M. Dumont (Martine); M. Dwek (Miriam); Dworniczak, B. (Bernd); K.M. Egan (Kathleen); U. Eilber (Ursula); Z. Einbeigi (Zakaria); B. Ejlertsen (Bent); S.D. Ellis (Steve); D. Frost (Debra); F. Lalloo (Fiona); P.A. Fasching (Peter); J.D. Figueroa (Jonine); H. Flyger (Henrik); M. Friedlander (Michael); E. Friedman (Eitan); Gambino, G. (Gaetana); Gao, Y.-T. (Yu-Tang); J. Garber (Judy); M. García-Closas (Montserrat); P.A. Gehrig (Paola A.); F. Damiola (Francesca); F. Lesueur (Fabienne); S. Mazoyer (Sylvie); D. Stoppa-Lyonnet (Dominique); Giles, G.G. (Graham G.); A.K. Godwin (Andrew K.); D. Goldgar (David); A. González-Neira (Anna); M.H. Greene (Mark H.); P. Guénel (Pascal); L. Haeberle (Lothar); C.A. Haiman (Christopher A.); Hallberg, E. (Emily); U. Hamann (Ute); T.V.O. Hansen (Thomas); S. Hart (Stewart); J.M. Hartikainen (J.); J.M. Hartman (Joost); N. Hassan (Norhashimah); S. Healey (Sue); F.B.L. Hogervorst (Frans); S. Verhoef; Hendricks, C.B. (Carolyn B.); P. Hillemanns (Peter); A. Hollestelle (Antoinette); P.J. Hulick (Peter); D. Hunter (David); E.N. Imyanitov (Evgeny); C. Isaacs (Claudine); H. Ito (Hidemi); A. Jakubowska (Anna); R. Janavicius (Ramunas); Jaworska-Bieniek, K. (Katarzyna); U.B. Jensen; E.M. John (Esther); Joly Beauparlant, C. (Charles); M. Jones (Michael); M. Kabisch (Maria); D. Kang (Daehee); Karlan, B.Y. (Beth Y.); S. Kauppila (Saila); M. Kerin (Michael); S. Khan (Sofia); E.K. Khusnutdinova (Elza); J.A. Knight (Julia); I. Konstantopoulou (I.); P. Kraft (Peter); A. Kwong (Ava); Y. Laitman (Yael); Lambrechts, D. (Diether); C. Lazaro (Conxi); L. Le Marchand (Loic); C.N. Lee (Chuen); M.H. Lee (Min Hyuk); K.J. Lester (Kathryn); J. Li (Jingmei); A. Liljegren (Annelie); A. Lindblom (Annika); A. Lophatananon (Artitaya); J. Lubinski (Jan); P.L. Mai (Phuong); A. Mannermaa (Arto); S. Manoukian (Siranoush); S. Margolin (Sara); Marme, F. (Frederik); K. Matsuo (Keitaro); L. McGuffog (Lesley); A. Meindl (Alfons); F. Menegaux (Florence); M. Montagna (Marco); K.R. Muir (K.); A.-M. Mulligan (Anna-Marie); K.L. Nathanson (Katherine); S.L. Neuhausen (Susan); H. Nevanlinna (Heli); P. Newcomb (Polly); S. Nord (Silje); R.L. Nussbaum (Robert L.); K. Offit (Kenneth); E. Olah; O.I. Olopade (Olufunmilayo I.); C. Olswold (Curtis); A. Osorio (Ana); L. Papi (Laura); T.-W. Park-Simon; Paulsson-Karlsson, Y. (Ylva); S.T.H. Peeters (Stephanie); B. Peissel (Bernard); P. Peterlongo (Paolo); J. Peto (Julian); G. Pfeiler (Georg); C. Phelan (Catherine); Presneau, N. (Nadege); P. Radice (Paolo); N. Rahman (Nazneen); S.J. Ramus (Susan); M.U. Rashid (Muhammad); G. Rennert (Gad); K. Rhiem (Kerstin); Rudolph, A. (Anja); R. Salani (Ritu); Sangrajrang, S. (Suleeporn); E.J. Sawyer (Elinor); M.K. Schmidt (Marjanka); R.K. Schmutzler (Rita); M. Schoemaker (Minouk); P. Schürmann (Peter); C.M. Seynaeve (Caroline); C.-Y. Shen (Chen-Yang); M. Shrubsole (Martha); X.-O. Shu (Xiao-Ou); A.J. Sigurdson (Alice); C.F. Singer (Christian); S. Slager (Susan); Soucy, P. (Penny); M.C. Southey (Melissa); D. Steinemann (Doris); A.J. Swerdlow (Anthony ); C. Szabo (Csilla); Tchatchou, S. (Sandrine); P.J. Teixeira; S.-H. Teo; M.B. Terry (Mary Beth); D.C. Tessier (Daniel C.); A. Teulé (A.); M. Thomassen (Mads); L. Tihomirova (Laima); M. Tischkowitz (Marc); A.E. Toland (Amanda); N. Tung (Nadine); C. Turnbull (Clare); A.M.W. van den Ouweland (Ans); E.J. van Rensburg (Elizabeth); ven den Berg, D. (David); J. Vijai (Joseph); S. Wang-Gohrke (Shan); J.N. Weitzel (Jeffrey); A.S. Whittemore (Alice); R. Winqvist (Robert); Wong, T.Y. (Tien Y.); A.H. Wu (Anna); Yannoukakos, D. (Drakoulis); J-C. Yu (Jyh-Cherng); P.D.P. Pharoah (Paul); P. Hall (Per); G. Chenevix-Trench (Georgia); A.M. Dunning (Alison); J. Simard (Jacques); F.J. Couch (Fergus); A.C. Antoniou (Antonis C.); D.F. Easton (Douglas F.); W. Zheng (Wei)

    2016-01-01

    textabstractBackground: Multiple recent genome-wide association studies (GWAS) have identified a single nucleotide polymorphism (SNP), rs10771399, at 12p11 that is associated with breast cancer risk. Method: We performed a fine-scale mapping study of a 700 kb region including 441 genotyped and more

  19. Prediction of metastasis from low-malignant breast cancer by gene expression profiling

    DEFF Research Database (Denmark)

    Thomassen, Mads; Tan, Qihua; Eiriksdottir, Freyja;

    2007-01-01

    Promising results for prediction of outcome in breast cancer have been obtained by genome wide gene expression profiling. Some studies have suggested that an extensive overtreatment of breast cancer patients might be reduced by risk assessment with gene expression profiling. A patient group hardly...... examined in these studies is the low-risk patients for whom outcome is very difficult to predict with currently used methods. These patients do not receive adjuvant treatment according to the guidelines of the Danish Breast Cancer Cooperative Group (DBCG). In this study, 26 tumors from low-risk patients...... demonstrated high cross-platform consistency of the classifiers. Higher performance of HUMAC32 was demonstrated among the low-malignant cancers compared with the 70-gene classifier. This suggests that although the metastatic potential to some extend is determined by the same genes in groups of tumors...

  20. Loss of heterozygosity and its correlation with expression profiles in subclasses of invasive breast cancers.

    Science.gov (United States)

    Wang, Zhigang C; Lin, Ming; Wei, Lee-Jen; Li, Cheng; Miron, Alexander; Lodeiro, Gabriella; Harris, Lyndsay; Ramaswamy, Sridhar; Tanenbaum, David M; Meyerson, Matthew; Iglehart, James D; Richardson, Andrea

    2004-01-01

    Gene expression array profiles identify subclasses of breast cancers with different clinical outcomes and different molecular features. The present study attempted to correlate genomic alterations (loss of heterozygosity; LOH) with subclasses of breast cancers having distinct gene expression signatures. Hierarchical clustering of expression array data from 89 invasive breast cancers identified four major expression subclasses. Thirty-four of these cases representative of the four subclasses were microdissected and allelotyped using genome-wide single nucleotide polymorphism detection arrays (Affymetrix, Inc.). LOH was determined by comparing tumor and normal single nucleotide polymorphism allelotypes. A newly developed statistical tool was used to determine the chromosomal regions of frequent LOH. We found that breast cancers were highly heterogeneous, with the proportion of LOH ranging widely from 0.3% to >60% of heterozygous markers. The most common sites of LOH were on 17p, 17q, 16q, 11q, and 14q, sites reported in previous LOH studies. Signature LOH events were discovered in certain expression subclasses. Unique regions of LOH on 5q and 4p marked a subclass of breast cancers with "basal-like" expression profiles, distinct from other subclasses. LOH on 1p and 16q occurred preferentially in a subclass of estrogen receptor-positive breast cancers. Finding unique LOH patterns in different groups of breast cancer, in part defined by expression signatures, adds confidence to newer schemes of molecular classification. Furthermore, exclusive association between biological subclasses and restricted LOH events provides rationale to search for targeted genes.

  1. Consumer Health Education. Breast Cancer.

    Science.gov (United States)

    Arkansas Univ., Fayetteville, Cooperative Extension Service.

    This short booklet is designed to be used by health educators when teaching women about breast cancer and its early detection and the procedure for breast self-examination. It includes the following: (1) A one-page teaching plan consisting of objectives, subject matter, methods (including titles of films and printed materials), target audience,…

  2. Genome-wide association study suggests common variants within RP11-634B7.4 gene influencing severe pre-treatment pain in head and neck cancer patients

    Science.gov (United States)

    Reyes-Gibby, Cielito C.; Wang, Jian; Silvas, Mary Rose T.; Yu, Robert K.; Hanna, Ehab Y.; Shete, Sanjay

    2016-01-01

    Pain is often one of the first signs of squamous cell carcinoma of the head and neck (HNSCC). Pain at diagnosis is an important prognostic marker for the development of chronic pain, and importantly, for the overall survival time. To identify variants influencing severe pre-treatment pain in 1,368 patients newly diagnosed with HNSCC, we conducted a genome-wide association study based on 730,525 tagging SNPs. The patients were all previously untreated for cancer. About 15% of the patients had severe pre-treatment pain, defined as pain score ≥7 (0 = “no pain” and 10 = “worst pain”). We identified 3 common genetic variants in high linkage disequilibrium for severe pre-treatment pain, representing one genomic region at 1q44 (rs3862188, P = 3.45 × 10−8; rs880143, P = 3.45 × 10−8; and rs7526880, P = 4.92 × 10−8), which maps to the RP11-634B7.4 gene, a novel antisense gene to three olfactory receptor genes. Olfactory receptor genes, upstream effectors of the MAPK signaling cascade, might be novel target genes for pain in HNSCC patients. Future experimental validation to explore biological mechanisms will be key to defining the role of the intronic variants and non-coding RNA for pain in patients with HNSCC. PMID:27670397

  3. Understanding your breast cancer risk

    Science.gov (United States)

    Skip navigation U.S. National Library of Medicine The navigation menu has been collapsed. ... page: //medlineplus.gov/ency/patientinstructions/000830.htm Understanding your breast cancer risk To use the sharing features ...

  4. Nonestrogenic drugs and breast cancer.

    Science.gov (United States)

    Danielson, D A; Jick, H; Hunter, J R; Stergachis, A; Madsen, S

    1982-08-01

    The relation between breast cancer and selected nonestrogenic drugs was evaluated in the Group Health Cooperative of Puget Sound, Seattle, Washington, a prepaid health care organization with computerized information on diagnoses and outpatient drug use. No important positive associations with breast cancer were found in a follow-up study of 302 women aged 35-74 years. These women were newly diagnosed with breast cancer in 1977-1980 and were studied in relation to exposure in the six months prior to diagnosis to one or more of the following drugs: diazepam, digitalis glycosides, medroxyprogesterone acetate, methyldopa, metronidazole, phenothiazines, tricyclic antidepressants, thiazides, thyroid/levothyroxine sodium, or spironolactone. A modest association between recent reserpine use and breast cancer was present (risk ratio = 1.7, 90% confidence interval 0.9-3.3).

  5. Palbociclib for Advanced Breast Cancer

    Science.gov (United States)

    An interim analysis of the PALOMA3 trial shows that women with hormone receptor-positive metastatic breast cancer who received palbociclib plus fulvestrant had longer progression-free survival rates than women who received a placebo plus fulvestrant.

  6. Genome-wide nucleosome occupancy and DNA methylation profiling of four human cell lines

    Directory of Open Access Journals (Sweden)

    Aaron L. Statham

    2015-03-01

    Full Text Available DNA methylation and nucleosome positioning are two key mechanisms that contribute to the epigenetic control of gene expression. During carcinogenesis, the expression of many genes is altered alongside extensive changes in the epigenome, with repressed genes often being associated with local DNA hypermethylation and gain of nucleosomes at their promoters. However the spectrum of alterations that occur at distal regulatory regions has not been extensively studied. To address this we used Nucleosome Occupancy and Methylation sequencing (NOMe-seq to compare the genome-wide DNA methylation and nucleosome occupancy profiles between normal and cancer cell line models of the breast and prostate. Here we describe the bioinformatic pipeline and methods that we developed for the processing and analysis of the NOMe-seq data published by (Taberlay et al., 2014 [1] and deposited in the Gene Expression Omnibus with accession GSE57498.

  7. Breast cancer. Part 3: advanced cancer and psychological implications.

    Science.gov (United States)

    Harmer, Victoria

    This is the last article in this 3-part series on breast cancer. The previous two articles have outlined the principles behind breast awareness and breast health, detailing common benign breast diseases, types of breast cancer and staging, and treatment for breast cancer, including surgery, chemotherapy, radiotherapy and endocrine treatment. The series concludes by giving information on advanced disease, including when a patient presents late with a fungating breast lesion, or if the disease has metastasized from the breast to other organs. Lymphoedema is also described and discussed, and the latter half of this article discusses psychological implications of breast cancer, from diagnosis through the individual treatments.

  8. Genome-wide association study identifies four loci associated with eruption of permanent teeth.

    Directory of Open Access Journals (Sweden)

    Frank Geller

    2011-09-01

    Full Text Available The sequence and timing of permanent tooth eruption is thought to be highly heritable and can have important implications for the risk of malocclusion, crowding, and periodontal disease. We conducted a genome-wide association study of number of permanent teeth erupted between age 6 and 14 years, analyzed as age-adjusted standard deviation score averaged over multiple time points, based on childhood records for 5,104 women from the Danish National Birth Cohort. Four loci showed association at P<5×10(-8 and were replicated in four independent study groups from the United States and Denmark with a total of 3,762 individuals; all combined P-values were below 10(-11. Two loci agreed with previous findings in primary tooth eruption and were also known to influence height and breast cancer, respectively. The two other loci pointed to genomic regions without any previous significant genome-wide association study results. The intronic SNP rs7924176 in ADK could be linked to gene expression in monocytes. The combined effect of the four genetic variants was most pronounced between age 10 and 12 years, where children with 6 to 8 delayed tooth eruption alleles had on average 3.5 (95% confidence interval: 2.9-4.1 fewer permanent teeth than children with 0 or 1 of these alleles.

  9. Metals and breast cancer.

    Science.gov (United States)

    Byrne, Celia; Divekar, Shailaja D; Storchan, Geoffrey B; Parodi, Daniela A; Martin, Mary Beth

    2013-03-01

    Metalloestrogens are metals that activate the estrogen receptor in the absence of estradiol. The metalloestrogens fall into two subclasses: metal/metalloid anions and bivalent cationic metals. The metal/metalloid anions include compounds such as arsenite, nitrite, selenite, and vanadate while the bivalent cations include metals such as cadmium, calcium, cobalt, copper, nickel, chromium, lead, mercury, and tin. The best studied metalloestrogen is cadmium. It is a heavy metal and a prevalent environmental contaminant with no known physiological function. This review addresses our current understanding of the mechanism by which cadmium and the bivalent cationic metals activate estrogen receptor-α. The review also summarizes the in vitro and in vivo evidence that cadmium functions as an estrogen and the potential role of cadmium in breast cancer.

  10. Iodide transport and breast cancer.

    Science.gov (United States)

    Poole, Vikki L; McCabe, Christopher J

    2015-10-01

    Breast cancer is the second most common cancer worldwide and the leading cause of cancer death in women, with incidence rates that continue to rise. The heterogeneity of the disease makes breast cancer exceptionally difficult to treat, particularly for those patients with triple-negative disease. To address the therapeutic complexity of these tumours, new strategies for diagnosis and treatment are urgently required. The ability of lactating and malignant breast cells to uptake and transport iodide has led to the hypothesis that radioiodide therapy could be a potentially viable treatment for many breast cancer patients. Understanding how iodide is transported, and the factors regulating the expression and function of the proteins responsible for iodide transport, is critical for translating this hypothesis into reality. This review covers the three known iodide transporters - the sodium iodide symporter, pendrin and the sodium-coupled monocarboxylate transporter - and their role in iodide transport in breast cells, along with efforts to manipulate them to increase the potential for radioiodide therapy as a treatment for breast cancer.

  11. Screening for Breast Cancer: Detection and Diagnosis

    Science.gov (United States)

    ... please turn JavaScript on. Feature: Screening For Breast Cancer Detection and Diagnosis Past Issues / Summer 2014 Table of Contents Screening ... Cancer" Articles #BeBrave: A life-saving test / Breast Cancer Basics and ... and Diagnosis / Staging and Treatment / Selected National Cancer Institute Breast ...

  12. Occupational exposure and risk of breast cancer

    OpenAIRE

    FENGA, CONCETTINA

    2016-01-01

    Breast cancer is a multifactorial disease and the most commonly diagnosed cancer in women. Traditional risk factors for breast cancer include reproductive status, genetic mutations, family history and lifestyle. However, increasing evidence has identified an association between breast cancer and occupational factors, including environmental stimuli. Epidemiological and experimental studies demonstrated that ionizing and non-ionizing radiation exposure, night-shift work, pesticides, polycyclic...

  13. Genomic profiling of breast cancer.

    Science.gov (United States)

    Pandey, Anjita; Singh, Alok Kumar; Maurya, Sanjeev Kumar; Rai, Rajani; Tewari, Mallika; Kumar, Mohan; Shukla, Hari S

    2009-05-01

    Genome study provides significant changes in the advancement of molecular diagnosis and treatment in Breast cancer. Several recent critical advances and high-throughput techniques identified the genomic trouble and dramatically accelerated the pace of research in preventing and curing this malignancy. Tumor-suppressor genes, proto-oncogenes, DNA-repair genes, carcinogen-metabolism genes are critically involved in progression of breast cancer. We reviewed imperative finding in breast genetics, ongoing work to segregate further susceptible genes, and preliminary studies on molecular profiling.

  14. A genome-wide siRNA screen for regulators of tumor suppressor p53 activity in human non-small lung cancer cells identifies components of the RNA splicing machinery as targets for anticancer treatment.

    Science.gov (United States)

    Siebring-van Olst, Ellen; Blijlevens, Maxime; de Menezes, Renee X; van der Meulen-Muileman, Ida H; Smit, Egbert F; van Beusechem, Victor W

    2017-03-13

    Reinstating wild-type tumor suppressor p53 activity could be a valuable option for the treatment of cancer. To contribute to development of new treatment options for non-small cell lung cancer (NSCLC), we performed genome-wide siRNA screens for determinants of p53 activity in NSCLC cells. We identified many genes not previously known to be involved in regulating p53 activity. Silencing p53 pathway inhibitor genes was associated with loss of cell viability. The largest functional gene cluster influencing p53 activity was mRNA splicing. Prominent p53 activation was observed upon silencing of specific spliceosome components, rather than by general inhibition of the spliceosome. Ten genes were validated as inhibitors of p53 activity in multiple NSCLC cell lines: genes encoding the Ras-pathway activator SOS1, the zinc finger protein TSHZ3, the mitochondrial membrane protein COX16 and the spliceosome components SNRPD3, SF3A3, SF3B1, SF3B6, XAB2, CWC22 and HNRNPL. Silencing these genes generally increased p53 levels, with distinct effects on CDKN1A expression, induction of cell cycle arrest and cell death. Silencing spliceosome components was associated with alternative splicing of MDM4 mRNA, which could contribute to activation of p53. In addition, silencing splice factors was particularly effective in killing NSCLC cells, albeit in a p53-independent manner. Interestingly, silencing SNRPD3 and SF3A3 exerted much stronger cytotoxicity to NSCLC cells than to lung fibroblasts, suggesting that these genes could represent useful therapeutic targets. This article is protected by copyright. All rights reserved.

  15. Microwaves for breast cancer treatments

    Directory of Open Access Journals (Sweden)

    Heba Abdelhamid Elkayal

    2015-12-01

    Full Text Available Hyperthermia is potentially an effective method for the treatment of cancer, especially breast cancer tumors. One of the most attractive attributes of hyperthermia is the possibility of providing therapeutic benefit noninvasively, minimizing side effects. To be effective, a hyperthermia treatment must selectively heat the cancerous tissue, elevating the temperature in the tumor without exposing healthy tissue to excessive temperature elevations. In this paper, a suggested simple model of Annular Phased Array (APA using eight half wavelength linear dipoles is presented. New software (COMSOL MULTIPHYSICS is used to calculate the temperature distribution inside a model of a three layered breast (skin, breast tissue, and tumor. In addition, the effect of changing the amplitude and phases of the array elements on the temperature distributions and the conditions on the values of the phases are demonstrated in order to achieve the objective of hyperthermia for breast tumor treatment.

  16. Lessons from Genome-Wide Association Studies in Reproductive Medicine: Menopause.

    Science.gov (United States)

    Ruth, Katherine S; Murray, Anna

    2016-07-01

    In recent years, common genetic variants have been identified by genome-wide association studies (GWASs) that have led to the detection of 44 genetic loci associated with approximately 6% of common variation in age at natural menopause. In the latest GWAS, doubling the sample size to approximately 70,000 women more than doubled the number of signals identified, from 17 to 56. In addition, low-frequency coding variants (highlighting the importance of this pathway in determining oocyte reserve. In addition, GWAS demonstrates that the hypothalamic-pituitary axis is involved in menopause timing as well as puberty timing, showing the first genetic link between timing of the start and end of reproductive life. Genetic variants have been used to explore the causal relationships between menopause timing and breast cancer. These studies demonstrate that for a 1 year increase in menopause age, there is a 6% increase in breast cancer risk, a value approximately double the estimate from epidemiological studies. Prolonged exposure to estrogen during reproductive life is the likely mechanism, rather than a direct effect of DDR variants on cancer risk. Further work is needed to determine the mechanism for the effect of each variant identified by GWAS and more variants will undoubtedly be discovered as sample sizes increase, denser single nucleotide polymorphism arrays and reference genomes are used, and populations from diverse ethnic groups are studied.

  17. Heterogeneity of breast cancer associations with five susceptibility loci by clinical and pathological characteristics

    DEFF Research Database (Denmark)

    Garcia-Closas, M.; Hall, P.; Nevanlinna, H.

    2008-01-01

    A three-stage genome-wide association study recently identified single nucleotide polymorphisms ( SNPs) in five loci ( fibroblast growth receptor 2 ( FGFR2), trinucleotide repeat containing 9 ( TNRC9), mitogen-activated protein kinase 3 K1 (MAP3K1), 8q24, and lymphocyte- specific protein 1 ( LSP1......)) associated with breast cancer risk. We investigated whether the associations between these SNPs and breast cancer risk varied by clinically important tumor characteristics in up to 23,039 invasive breast cancer cases and 26,273 controls from 20 studies. We also evaluated their influence on overall survival...... related to PR-positive, low grade and node positive tumors (P = 10(-5), 10(-8), 0.013, respectively). The association for rs13281615 in 8q24 was stronger for ER- positive, PR-positive, and low grade tumors (P = 0.001, 0.011 and 10(-4), respectively). The differences in the associations between SNPs...

  18. 11q13 is a Susceptibility Locus for Hormone Receptor Positive Breast Cancer

    DEFF Research Database (Denmark)

    Lambrechts, Diether; Truong, Therese; Justenhoven, Christina

    2012-01-01

    A recent two-stage genome-wide association study (GWAS) identified five novel breast cancer susceptibility loci on chromosomes 9, 10 and 11. To provide more reliable estimates of the relative risk associated with these loci and investigate possible heterogeneity by subtype of breast cancer, we...... genotyped the variants rs2380205, rs1011970, rs704010, rs614367, rs10995190 in 39 studies from the Breast Cancer Association Consortium (BCAC), involving 49,608 cases and 48,772 controls of predominantly European ancestry. Four of the variants showed clear evidence of association (P = 3 × 10-9) and weak...... evidence was observed for rs2380205 (P = 0.06). The strongest evidence was obtained for rs614367, located on 11q13 (per-allele odds ratio 1.21, P = 4 × 10-39). The association for rs614367 was specific to estrogen receptor (ER)-positive disease and strongest for ER plus progesterone receptor (PR...

  19. Polymorphisms of phase I and phase II enzymes and breast cancer risk

    Directory of Open Access Journals (Sweden)

    Christina eJustenhoven

    2012-11-01

    Full Text Available Breast cancer is a complex disease which is provoked by a multitude of exogenous and endogenous factors including genetic variations. Recent genome-wide association studies identified a set of more than 18 novel low penetrant susceptibility loci, however, a limitation of this powerful approach is the hampered analysis of polymorphisms in DNA sequences with a high degree of similarity to other genes or pseudo genes. Since this common feature affects the majority of the highly polymorphic genes encoding phase I and II enzyme the retrieval of specific genotype data requires adapted amplification methods. With regard to breast cancer these genes are of certain interest due to their involvement in the metabolism of carcinogens like exogenous genotoxic compounds or steroid hormones. The present review summarizes the observed effects of functional genetic variants of phase I and II enzymes in well designed case control studies to shed light on their contribution to breast cancer risk.

  20. What Is Breast Cancer in Men?

    Science.gov (United States)

    ... of the breast are glandular tissue (they make breast milk in women), so cancers starting in these areas are sometimes called adenocarcinomas. ... invasive) lobular carcinoma (ILC) This type of breast cancer starts in ... that, in women, produce breast milk) and grows into the fatty tissue of the ...

  1. Identification of inherited genetic variations influencing prognosis in early-onset breast cancer.

    Science.gov (United States)

    Rafiq, Sajjad; Tapper, William; Collins, Andrew; Khan, Sofia; Politopoulos, Ioannis; Gerty, Sue; Blomqvist, Carl; Couch, Fergus J; Nevanlinna, Heli; Liu, Jianjun; Eccles, Diana

    2013-03-15

    Genome-Wide Association Studies (GWAS) have begun to investigate associations between inherited genetic variations and breast cancer prognosis. Here, we report our findings from a GWAS conducted in 536 patients with early-onset breast cancer aged 40 or less at diagnosis and with a mean follow-up period of 4.1 years (SD = 1.96). Patients were selected from the Prospective Study of Outcomes in Sporadic versus Hereditary breast cancer. A Bonferroni correction for multiple testing determined that a P value of 1.0 × 10(-7) was a statistically significant association signal. Following quality control, we identified 487,496 single nucleotide polymorphisms (SNP) for association tests in stage 1. In stage 2, 35 SNPs with the most significant associations were genotyped in 1,516 independent cases from the same early-onset cohort. In stage 2, 11 SNPs remained associated in the same direction (P ≤ 0.05). Fixed effects meta-analysis models identified one SNP associated at close to genome wide level of significance 556 kb upstream of the ARRDC3 locus [HR = 1.61; 95% confidence interval (CI), 1.33-1.96; P = 9.5 × 10(-7)]. Four further associations at or close to the PBX1, RORα, NTN1, and SYT6 loci also came close to genome-wide significance levels (P = 10(-6)). In the first ever GWAS for the identification of SNPs associated with prognosis in patients with early-onset breast cancer, we report a SNP upstream of the ARRDC3 locus as potentially associated with prognosis (median follow-up time for genotypes: CC = 4 years, CT = 3 years, and TT = 2.7 years; Wilcoxon rank-sum test CC vs. CT, P = 4 × 10(-4) and CT vs. TT, P = 0.76). Four further loci may also be associated with prognosis.

  2. Endocrine determinants of breast density and breast cancer

    NARCIS (Netherlands)

    Verheus, M.

    2007-01-01

    Worldwide, breast cancer is the most common malignancy among females. The total breast area on a mammogram can be dived in a radiologicaly dense area (glandular and stromal tissue) and a non-dense area (mainly fat tissue). Women with a high proportion of dense breast tissue (percent breast density)

  3. Mammographic Breast Density and Common Genetic Variants in Breast Cancer Risk Prediction.

    Directory of Open Access Journals (Sweden)

    Charmaine Pei Ling Lee

    Full Text Available Known prediction models for breast cancer can potentially by improved by the addition of mammographic density and common genetic variants identified in genome-wide associations studies known to be associated with risk of the disease. We evaluated the benefit of including mammographic density and the cumulative effect of genetic variants in breast cancer risk prediction among women in a Singapore population.We estimated the risk of breast cancer using a prospective cohort of 24,161 women aged 50 to 64 from Singapore with available mammograms and known risk factors for breast cancer who were recruited between 1994 and 1997. We measured mammographic density using the medio-lateral oblique views of both breasts. Each woman's genotype for 75 SNPs was simulated based on the genotype frequency obtained from the Breast Cancer Association Consortium data and the cumulative effect was summarized by a genetic risk score (GRS. Any improvement in the performance of our proposed prediction model versus one containing only variables from the Gail model was assessed by changes in receiver-operating characteristic and predictive values.During 17 years of follow-up, 680 breast cancer cases were diagnosed. The multivariate-adjusted hazard ratios (95% confidence intervals were 1.60 (1.22-2.10, 2.20 (1.65-2.92, 2.33 (1.71-3.20, 2.12 (1.43-3.14, and 3.27 (2.24-4.76 for the corresponding mammographic density categories: 11-20cm2, 21-30cm2, 31-40cm2, 41-50cm2, 51-60cm2, and 1.10 (1.03-1.16 for GRS. At the predicted absolute 10-year risk thresholds of 2.5% and 3.0%, a model with mammographic density and GRS could correctly identify 0.9% and 0.5% more women who would develop the disease compared to a model using only the Gail variables, respectively.Mammographic density and common genetic variants can improve the discriminatory power of an established breast cancer risk prediction model among females in Singapore.

  4. Identification of Novel Genetic Markers of Breast Cancer Survival

    Science.gov (United States)

    Guo, Qi; Schmidt, Marjanka K.; Kraft, Peter; Canisius, Sander; Chen, Constance; Khan, Sofia; Tyrer, Jonathan; Bolla, Manjeet K.; Wang, Qin; Dennis, Joe; Michailidou, Kyriaki; Lush, Michael; Kar, Siddhartha; Beesley, Jonathan; Dunning, Alison M.; Shah, Mitul; Czene, Kamila; Darabi, Hatef; Eriksson, Mikael; Lambrechts, Diether; Weltens, Caroline; Leunen, Karin; Bojesen, Stig E.; Nordestgaard, Børge G.; Nielsen, Sune F.; Flyger, Henrik; Chang-Claude, Jenny; Rudolph, Anja; Seibold, Petra; Flesch-Janys, Dieter; Blomqvist, Carl; Aittomäki, Kristiina; Fagerholm, Rainer; Muranen, Taru A.; Couch, Fergus J.; Olson, Janet E.; Vachon, Celine; Andrulis, Irene L.; Knight, Julia A.; Glendon, Gord; Mulligan, Anna Marie; Broeks, Annegien; Hogervorst, Frans B.; Haiman, Christopher A.; Henderson, Brian E.; Schumacher, Fredrick; Le Marchand, Loic; Hopper, John L.; Tsimiklis, Helen; Apicella, Carmel; Southey, Melissa C.; Cox, Angela; Cross, Simon S.; Reed, Malcolm W. R.; Giles, Graham G.; Milne, Roger L.; McLean, Catriona; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Hooning, Maartje J.; Hollestelle, Antoinette; Martens, John W. M.; van den Ouweland, Ans M. W.; Marme, Federik; Schneeweiss, Andreas; Yang, Rongxi; Burwinkel, Barbara; Figueroa, Jonine; Chanock, Stephen J.; Lissowska, Jolanta; Sawyer, Elinor J.; Tomlinson, Ian; Kerin, Michael J.; Miller, Nicola; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Holleczek, Bernd; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M.; Li, Jingmei; Brand, Judith S.; Humphreys, Keith; Devilee, Peter; Tollenaar, Rob A. E. M.; Seynaeve, Caroline; Radice, Paolo; Peterlongo, Paolo; Bonanni, Bernardo; Mariani, Paolo; Fasching, Peter A.; Beckmann, Matthias W.; Hein, Alexander; Ekici, Arif B.; Chenevix-Trench, Georgia; Balleine, Rosemary; Phillips, Kelly-Anne; Benitez, Javier; Zamora, M. Pilar; Arias Perez, Jose Ignacio; Menéndez, Primitiva; Jakubowska, Anna; Lubinski, Jan; Jaworska-Bieniek, Katarzyna; Durda, Katarzyna; Hamann, Ute; Kabisch, Maria; Ulmer, Hans Ulrich; Rüdiger, Thomas; Margolin, Sara; Kristensen, Vessela; Nord, Silje; Evans, D. Gareth; Abraham, Jean E.; Earl, Helena M.; Hiller, Louise; Dunn, Janet A.; Bowden, Sarah; Berg, Christine; Campa, Daniele; Diver, W. Ryan; Gapstur, Susan M.; Gaudet, Mia M.; Hankinson, Susan E.; Hoover, Robert N.; Hüsing, Anika; Kaaks, Rudolf; Machiela, Mitchell J.; Willett, Walter; Barrdahl, Myrto; Canzian, Federico; Chin, Suet-Feung; Caldas, Carlos; Hunter, David J.; Lindstrom, Sara; García-Closas, Montserrat; Hall, Per; Easton, Douglas F.; Eccles, Diana M.; Rahman, Nazneen; Nevanlinna, Heli; Pharoah, Paul D. P.

    2015-01-01

    Background: Survival after a diagnosis of breast cancer varies considerably between patients, and some of this variation may be because of germline genetic variation. We aimed to identify genetic markers associated with breast cancer–specific survival. Methods: We conducted a large meta-analysis of studies in populations of European ancestry, including 37954 patients with 2900 deaths from breast cancer. Each study had been genotyped for between 200000 and 900000 single nucleotide polymorphisms (SNPs) across the genome; genotypes for nine million common variants were imputed using a common reference panel from the 1000 Genomes Project. We also carried out subtype-specific analyses based on 6881 estrogen receptor (ER)–negative patients (920 events) and 23059 ER-positive patients (1333 events). All statistical tests were two-sided. Results: We identified one new locus (rs2059614 at 11q24.2) associated with survival in ER-negative breast cancer cases (hazard ratio [HR] = 1.95, 95% confidence interval [CI] = 1.55 to 2.47, P = 1.91 x 10–8). Genotyping a subset of 2113 case patients, of which 300 were ER negative, provided supporting evidence for the quality of the imputation. The association in this set of case patients was stronger for the observed genotypes than for the imputed genotypes. A second locus (rs148760487 at 2q24.2) was associated at genome-wide statistical significance in initial analyses; the association was similar in ER-positive and ER-negative case patients. Here the results of genotyping suggested that the finding was less robust. Conclusions: This is currently the largest study investigating genetic variation associated with breast cancer survival. Our results have potential clinical implications, as they confirm that germline genotype can provide prognostic information in addition to standard tumor prognostic factors. PMID:25890600

  5. Propranolol and survival from breast cancer

    DEFF Research Database (Denmark)

    Cardwell, Chris R; Pottegård, Anton; Vaes, Evelien

    2016-01-01

    BACKGROUND: Preclinical studies have demonstrated that propranolol inhibits several pathways involved in breast cancer progression and metastasis. We investigated whether breast cancer patients who used propranolol, or other non-selective beta-blockers, had reduced breast cancer-specific or all......-cause mortality in eight European cohorts. METHODS: Incident breast cancer patients were identified from eight cancer registries and compiled through the European Cancer Pharmacoepidemiology Network. Propranolol and non-selective beta-blocker use was ascertained for each patient. Breast cancer-specific and all......-analysis techniques. Dose-response analyses by number of prescriptions were also performed. Analyses were repeated investigating propranolol use before cancer diagnosis. RESULTS: The combined study population included 55,252 and 133,251 breast cancer patients in the analysis of breast cancer-specific and all...

  6. Heavy Metal Exposure in Predicting Peripheral Neuropathy in Patients With Stage I-III Breast Cancer Undergoing Chemotherapy

    Science.gov (United States)

    2015-05-01

    Male Breast Cancer; Neurotoxicity; Peripheral Neuropathy; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  7. Alternative Dosing of Exemestane Before Surgery in Treating Postmenopausal Patients With Stage 0-II Estrogen Positive Breast Cancer

    Science.gov (United States)

    2017-02-17

    Estrogen Receptor Positive; Postmenopausal; Stage 0 Breast Cancer; Stage I Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer

  8. Breast Cancer Risk Prediction Models

    Science.gov (United States)

    Developing statistical models that estimate the probability of developing breast cancer over a defined period of time will help clinicians identify individuals at higher risk of specific cancers, allowing for earlier or more frequent screening and counseling of behavioral changes to decrease risk.

  9. Lung cancer after treatment for breast cancer.

    Science.gov (United States)

    Lorigan, Paul; Califano, Raffaele; Faivre-Finn, Corinne; Howell, Anthony; Thatcher, Nick

    2010-12-01

    Breast cancer is the most common cancer in women, and the second most common cause of cancer death after lung cancer. Improvements in the outcome of breast cancer mean that more patients are living longer and are, therefore, at risk of developing a second malignancy. The aim of this review is to present the current understanding of the risk of lung cancer arising in patients previously treated for early stage breast cancer. We review data on the effect of treatment factors (ie, surgery type, radiotherapy technique, and adjuvant chemotherapy) and patient factors (ie, age and smoking) on the risk of developing a subsequent lung cancer. The evidence suggests that older radiotherapy techniques were associated with a substantially increased risk of developing lung cancer in the ipsilateral lung, but there is no clear evidence of an increased risk with modern techniques. Smoking is an important risk factor, and increases the risk of lung cancer in those receiving radiotherapy. Adjuvant chemotherapy is not significantly associated with an increased risk. The risk of developing lung cancer increases with time elapsed since treatment, but any effect of age at treatment is unclear.

  10. Breast Cancer and the Environment Research Program

    Science.gov (United States)

    The Breast Cancer and the Environment Research Program supports a multidisciplinary network of scientists, clinicians, and community partners to examine the effects of environmental exposures that may predispose a woman to breast cancer throughout her life.

  11. ENVIRONMENTAL FACTORS AFFECTING BREAST CANCER SUSCEPTIBILITY

    Science.gov (United States)

    Environmental Factors Affecting Breast Cancer SusceptibilitySuzanne. E. FentonUS EPA, ORD, MD-67 NHEERL, Reproductive Toxicology Division, Research Triangle Park, NC 27711.Breast cancer is still the most common malignancy afflicting women in the Western world. Alt...

  12. THERAPEUTIC OPTIONS FOR BREAST CANCER

    Directory of Open Access Journals (Sweden)

    Milena Georgescu

    2011-12-01

    Full Text Available Breast cancer remains a major public health problem, being the second cause of cancer death in women. There is a marked tendency to restrict the extension of surgical gesture, which directly leads to two different attitudes: radical surgery and conservative surgery, to which, at least in our country, there are still some delays. Prospective and retrospective studies have shown that, in 20 years, conservative and radical therapy had about the same rate of survival and disease-free interval, at least for stage I and II breast cancer, the only real counterargument against conservative surgery being that, in principle, the higher rate of recurrence local constraint can be solved by postoperative radiotherapy. Finally, the survival rate is the main parameter of evaluation, assessing the effectiveness of the treatment in breast cancer, and in all its other forms.

  13. Association of breast cancer risk with genetic variants showing differential allelic expression: Identification of a novel breast cancer susceptibility locus at 4q21.

    Science.gov (United States)

    Hamdi, Yosr; Soucy, Penny; Adoue, Véronique; Michailidou, Kyriaki; Canisius, Sander; Lemaçon, Audrey; Droit, Arnaud; Andrulis, Irene L; Anton-Culver, Hoda; Arndt, Volker; Baynes, Caroline; Blomqvist, Carl; Bogdanova, Natalia V; Bojesen, Stig E; Bolla, Manjeet K; Bonanni, Bernardo; Borresen-Dale, Anne-Lise; Brand, Judith S; Brauch, Hiltrud; Brenner, Hermann; Broeks, Annegien; Burwinkel, Barbara; Chang-Claude, Jenny; Couch, Fergus J; Cox, Angela; Cross, Simon S; Czene, Kamila; Darabi, Hatef; Dennis, Joe; Devilee, Peter; Dörk, Thilo; Dos-Santos-Silva, Isabel; Eriksson, Mikael; Fasching, Peter A; Figueroa, Jonine; Flyger, Henrik; García-Closas, Montserrat; Giles, Graham G; Goldberg, Mark S; González-Neira, Anna; Grenaker-Alnæs, Grethe; Guénel, Pascal; Haeberle, Lothar; Haiman, Christopher A; Hamann, Ute; Hallberg, Emily; Hooning, Maartje J; Hopper, John L; Jakubowska, Anna; Jones, Michael; Kabisch, Maria; Kataja, Vesa; Lambrechts, Diether; Le Marchand, Loic; Lindblom, Annika; Lubinski, Jan; Mannermaa, Arto; Maranian, Mel; Margolin, Sara; Marme, Frederik; Milne, Roger L; Neuhausen, Susan L; Nevanlinna, Heli; Neven, Patrick; Olswold, Curtis; Peto, Julian; Plaseska-Karanfilska, Dijana; Pylkäs, Katri; Radice, Paolo; Rudolph, Anja; Sawyer, Elinor J; Schmidt, Marjanka K; Shu, Xiao-Ou; Southey, Melissa C; Swerdlow, Anthony; Tollenaar, Rob A E M; Tomlinson, Ian; Torres, Diana; Truong, Thérèse; Vachon, Celine; Van Den Ouweland, Ans M W; Wang, Qin; Winqvist, Robert; Zheng, Wei; Benitez, Javier; Chenevix-Trench, Georgia; Dunning, Alison M; Pharoah, Paul D P; Kristensen, Vessela; Hall, Per; Easton, Douglas F; Pastinen, Tomi; Nord, Silje; Simard, Jacques

    2016-12-06

    There are significant inter-individual differences in the levels of gene expression. Through modulation of gene expression, cis-acting variants represent an important source of phenotypic variation. Consequently, cis-regulatory SNPs associated with differential allelic expression are functional candidates for further investigation as disease-causing variants. To investigate whether common variants associated with differential allelic expression were involved in breast cancer susceptibility, a list of genes was established on the basis of their involvement in cancer related pathways and/or mechanisms. Thereafter, using data from a genome-wide map of allelic expression associated SNPs, 313 genetic variants were selected and their association with breast cancer risk was then evaluated in 46,451 breast cancer cases and 42,599 controls of European ancestry ascertained from 41 studies participating in the Breast Cancer Association Consortium. The associations were evaluated with overall breast cancer risk and with estrogen receptor negative and positive disease. One novel breast cancer susceptibility locus on 4q21 (rs11099601) was identified (OR = 1.05, P = 5.6x10-6). rs11099601 lies in a 135 kb linkage disequilibrium block containing several genes, including, HELQ, encoding the protein HEL308 a DNA dependant ATPase and DNA Helicase involved in DNA repair, MRPS18C encoding the Mitochondrial Ribosomal Protein S18C and FAM175A (ABRAXAS), encoding a BRCA1 BRCT domain-interacting protein involved in DNA damage response and double-strand break (DSB) repair. Expression QTL analysis in breast cancer tissue showed rs11099601 to be associated with HELQ (P = 8.28x10-14), MRPS18C (P = 1.94x10-27) and FAM175A (P = 3.83x10-3), explaining about 20%, 14% and 1%, respectively of the variance inexpression of these genes in breast carcinomas.

  14. Association of breast cancer risk with genetic variants showing differential allelic expression: Identification of a novel breast cancer susceptibility locus at 4q21

    Science.gov (United States)

    Adoue, Véronique; Michailidou, Kyriaki; Canisius, Sander; Lemaçon, Audrey; Droit, Arnaud; Andrulis, Irene L; Anton-Culver, Hoda; Arndt, Volker; Baynes, Caroline; Blomqvist, Carl; Bogdanova, Natalia V.; Bojesen, Stig E.; Bolla, Manjeet K.; Bonanni, Bernardo; Borresen-Dale, Anne-Lise; Brand, Judith S.; Brauch, Hiltrud; Brenner, Hermann; Broeks, Annegien; Burwinkel, Barbara; Chang-Claude, Jenny; Couch, Fergus J.; Cox, Angela; Cross, Simon S.; Czene, Kamila; Darabi, Hatef; Dennis, Joe; Devilee, Peter; Dörk, Thilo; Dos-Santos-Silva, Isabel; Eriksson, Mikael; Fasching, Peter A.; Figueroa, Jonine; Flyger, Henrik; García-Closas, Montserrat; Giles, Graham G.; Goldberg, Mark S.; González-Neira, Anna; Grenaker-Alnæs, Grethe; Guénel, Pascal; Haeberle, Lothar; Haiman, Christopher A.; Hamann, Ute; Hallberg, Emily; Hooning, Maartje J.; Hopper, John L.; Jakubowska, Anna; Jones, Michael; Kabisch, Maria; Kataja, Vesa; Lambrechts, Diether; Marchand, Loic Le; Lindblom, Annika; Lubinski, Jan; Mannermaa, Arto; Maranian, Mel; Margolin, Sara; Marme, Frederik; Milne, Roger L.; Neuhausen, Susan L.; Nevanlinna, Heli; Neven, Patrick; Olswold, Curtis; Peto, Julian; Plaseska-Karanfilska, Dijana; Pylkäs, Katri; Radice, Paolo; Rudolph, Anja; Sawyer, Elinor J.; Schmidt, Marjanka K.; Shu, Xiao-Ou; Southey, Melissa C.; Swerdlow, Anthony; Tollenaar, Rob A.E.M.; Tomlinson, Ian; Torres, Diana; Truong, Thérèse; Vachon, Celine; Van Den Ouweland, Ans M. W.; Wang, Qin; Winqvist, Robert; Investigators, kConFab/AOCS; Zheng, Wei; Benitez, Javier; Chenevix-Trench, Georgia; Dunning, Alison M.; Pharoah, Paul D. P.; Kristensen, Vessela; Hall, Per; Easton, Douglas F.; Pastinen, Tomi; Nord, Silje; Simard, Jacques

    2016-01-01

    There are significant inter-individual differences in the levels of gene expression. Through modulation of gene expression, cis-acting variants represent an important source of phenotypic variation. Consequently, cis-regulatory SNPs associated with differential allelic expression are functional candidates for further investigation as disease-causing variants. To investigate whether common variants associated with differential allelic expression were involved in breast cancer susceptibility, a list of genes was established on the basis of their involvement in cancer related pathways and/or mechanisms. Thereafter, using data from a genome-wide map of allelic expression associated SNPs, 313 genetic variants were selected and their association with breast cancer risk was then evaluated in 46,451 breast cancer cases and 42,599 controls of European ancestry ascertained from 41 studies participating in the Breast Cancer Association Consortium. The associations were evaluated with overall breast cancer risk and with estrogen receptor negative and positive disease. One novel breast cancer susceptibility locus on 4q21 (rs11099601) was identified (OR = 1.05, P = 5.6x10-6). rs11099601 lies in a 135 kb linkage disequilibrium block containing several genes, including, HELQ, encoding the protein HEL308 a DNA dependant ATPase and DNA Helicase involved in DNA repair, MRPS18C encoding the Mitochondrial Ribosomal Protein S18C and FAM175A (ABRAXAS), encoding a BRCA1 BRCT domain-interacting protein involved in DNA damage response and double-strand break (DSB) repair. Expression QTL analysis in breast cancer tissue showed rs11099601 to be associated with HELQ (P = 8.28x10-14), MRPS18C (P = 1.94x10-27) and FAM175A (P = 3.83x10-3), explaining about 20%, 14% and 1%, respectively of the variance inexpression of these genes in breast carcinomas. PMID:27792995

  15. Multi-epitope Folate Receptor Alpha Peptide Vaccine, Sargramostim, and Cyclophosphamide in Treating Patients With Triple Negative Breast Cancer

    Science.gov (United States)

    2017-01-24

    Bilateral Breast Carcinoma; Estrogen Receptor Negative; HER2/Neu Negative; Progesterone Receptor Negative; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage III Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer; Stage IV Breast Cancer; Triple-Negative Breast Carcinoma; Unilateral Breast Carcinoma

  16. Evaluate Risk/Benefit of Nab Paclitaxel in Combination With Gemcitabine and Carboplatin Compared to Gemcitabine and Carboplatin in Triple Negative Metastatic Breast Cancer (or Metastatic Triple Negative Breast Cancer)

    Science.gov (United States)

    2016-10-25

    Breast Tumor; Breast Cancer; Cancer of the Breast; Estrogen Receptor- Negative Breast Cancer; HER2- Negative Breast Cancer; Progesterone Receptor- Negative Breast Cancer; Recurrent Breast Cancer; Stage IV Breast Cancer; Triple-negative Breast Cancer; Triple-negative Metastatic Breast Cancer; Metastatic Breast Cancer

  17. Risk of estrogen receptor-positive and -negative breast cancer and single-nucleotide polymorphism 2q35-rs13387042

    DEFF Research Database (Denmark)

    Milne, Roger L; Benítez, Javier; Nevanlinna, Heli

    2009-01-01

    BACKGROUND: A recent genome-wide association study identified single-nucleotide polymorphism (SNP) 2q35-rs13387042 as a marker of susceptibility to estrogen receptor (ER)-positive breast cancer. We attempted to confirm this association using the Breast Cancer Association Consortium. METHODS: 2q35......-rs13387042 SNP was genotyped for 31 510 women with invasive breast cancer, 1101 women with ductal carcinoma in situ, and 35 969 female control subjects from 25 studies. Odds ratios (ORs) were estimated by logistic regression, adjusted for study. Heterogeneity in odds ratios by each of age, ethnicity...... evidence of association between rs13387042 and breast cancer in white women of European origin (per-allele OR = 1.12, 95% confidence interval [CI] = 1.09 to 1.15; P(trend) = 1.0 x 10(-19)). The odds ratio was lower than that previously reported (P = .02) and did not vary by age or ethnicity (all P...

  18. Internet Use and Breast Cancer Survivors

    Science.gov (United States)

    Muhamad, Mazanah; Afshari, Mojgan; Mohamed, Nor Aini

    2011-01-01

    A survey was administered to 400 breast cancer survivors at hospitals and support group meetings in Peninsular Malaysia to explore their level of Internet use and factors related to the Internet use by breast cancer survivors. Findings of this study indicated that about 22.5% of breast cancer survivors used Internet to get information about breast…

  19. Search for new breast cancer susceptibility genes

    NARCIS (Netherlands)

    Oldenburg, Rogier Abel

    2008-01-01

    This thesis describes the search for new high-risk breast cancer susceptibility genes by linkage analysis. To date 20-25% of familial breast cancer is explained by mutations in the high-risk BRCA1 and BRCA2 breast cancer susceptibility genes. For the remaining families the genetic etiology is unknow

  20. Height and Breast Cancer Risk: Evidence From Prospective Studies and Mendelian Randomization

    Science.gov (United States)

    Zhang, Ben; Shu, Xiao-Ou; Delahanty, Ryan J.; Zeng, Chenjie; Michailidou, Kyriaki; Bolla, Manjeet K.; Wang, Qin; Dennis, Joe; Wen, Wanqing; Long, Jirong; Li, Chun; Dunning, Alison M.; Chang-Claude, Jenny; Shah, Mitul; Perkins, Barbara J.; Czene, Kamila; Darabi, Hatef; Eriksson, Mikael; Bojesen, Stig E.; Nordestgaard, Børge G.; Nielsen, Sune F.; Flyger, Henrik; Lambrechts, Diether; Neven, Patrick; Wildiers, Hans; Floris, Giuseppe; Schmidt, Marjanka K.; Rookus, Matti A.; van den Hurk, Katja; de Kort, Wim L. A. M.; Couch, Fergus J.; Olson, Janet E.; Hallberg, Emily; Vachon, Celine; Rudolph, Anja; Seibold, Petra; Flesch-Janys, Dieter; Peto, Julian; dos-Santos-Silva, Isabel; Fletcher, Olivia; Johnson, Nichola; Nevanlinna, Heli; Muranen, Taru A.; Aittomäki, Kristiina; Blomqvist, Carl; Li, Jingmei; Humphreys, Keith; Brand, Judith; Guénel, Pascal; Truong, Thérèse; Cordina-Duverger, Emilie; Menegaux, Florence; Burwinkel, Barbara; Marme, Frederik; Yang, Rongxi; Surowy, Harald; Benitez, Javier; Zamora, M. Pilar; Perez, Jose I. A.; Cox, Angela; Cross, Simon S.; Reed, Malcolm W. R.; Andrulis, Irene L.; Knight, Julia A.; Glendon, Gord; Tchatchou, Sandrine; Sawyer, Elinor J.; Tomlinson, Ian; Kerin, Michael J.; Miller, Nicola; Chenevix-Trench, Georgia; Haiman, Christopher A.; Henderson, Brian E.; Schumacher, Fredrick; Marchand, Loic Le; Lindblom, Annika; Margolin, Sara; Hooning, Maartje J.; Martens, John W. M.; Tilanus-Linthorst, Madeleine M. A.; Collée, J. Margriet; Hopper, John L.; Southey, Melissa C.; Tsimiklis, Helen; Apicella, Carmel; Slager, Susan; Toland, Amanda E.; Ambrosone, Christine B.; Yannoukakos, Drakoulis; Giles, Graham G.; Milne, Roger L.; McLean, Catriona; Fasching, Peter A.; Haeberle, Lothar; Ekici, Arif B.; Beckmann, Matthias W.; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Swerdlow, Anthony J.; Ashworth, Alan; Orr, Nick; Jones, Michael; Figueroa, Jonine; Garcia-Closas, Montserrat; Brinton, Louise; Lissowska, Jolanta; Dumont, Martine; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Brauch, Hiltrud; Brüning, Thomas; Ko, Yon-Dschun; Peterlongo, Paolo; Manoukian, Siranoush; Bonanni, Bernardo; Radice, Paolo; Bogdanova, Natalia; Antonenkova, Natalia; Dörk, Thilo; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M.; Devilee, Peter; Seynaeve, Caroline; Van Asperen, Christi J.; Jakubowska, Anna; Lubiński, Jan; Jaworska-Bieniek, Katarzyna; Durda, Katarzyna; Hamann, Ute; Torres, Diana; Schmutzler, Rita K.; Neuhausen, Susan L.; Anton-Culver, Hoda; Kristensen, Vessela N.; Grenaker Alnæs, Grethe I.; Pierce, Brandon L.; Kraft, Peter; Peters, Ulrike; Lindstrom, Sara; Seminara, Daniela; Burgess, Stephen; Ahsan, Habibul; Whittemore, Alice S.; John, Esther M.; Gammon, Marilie D.; Malone, Kathleen E.; Tessier, Daniel C.; Vincent, Daniel; Bacot, Francois; Luccarini, Craig; Baynes, Caroline; Ahmed, Shahana; Maranian, Mel; Healey, Catherine S.; González-Neira, Anna; Pita, Guillermo; Alonso, M. Rosario; Álvarez, Nuria; Herrero, Daniel; Pharoah, Paul D. P.; Simard, Jacques; Hall, Per; Hunter, David J.; Easton, Douglas F.

    2015-01-01

    Background: Epidemiological studies have linked adult height with breast cancer risk in women. However, the magnitude of the association, particularly by subtypes of breast cancer, has not been established. Furthermore, the mechanisms of the association remain unclear. Methods: We performed a meta-analysis to investigate associations between height and breast cancer risk using data from 159 prospective cohorts totaling 5216302 women, including 113178 events. In a consortium with individual-level data from 46325 case patients and 42482 control subjects, we conducted a Mendelian randomization analysis using a genetic score that comprised 168 height-associated variants as an instrument. This association was further evaluated in a second consortium using summary statistics data from 16003 case patients and 41335 control subjects. Results: The pooled relative risk of breast cancer was 1.17 (95% confidence interval [CI] = 1.15 to 1.19) per 10cm increase in height in the meta-analysis of prospective studies. In Mendelian randomization analysis, the odds ratio of breast cancer per 10cm increase in genetically predicted height was 1.22 (95% CI = 1.13 to 1.32) in the first consortium and 1.21 (95% CI = 1.05 to 1.39) in the second consortium. The association was found in both premenopausal and postmenopausal women but restricted to hormone receptor–positive breast cancer. Analyses of height-associated variants identified eight new loci associated with breast cancer risk after adjusting for multiple comparisons, including three loci at 1q21.2, DNAJC27, and CCDC91 at genome-wide significance level P < 5×10–8. Conclusions: Our study provides strong evidence that adult height is a risk factor for breast cancer in women and certain genetic factors and biological pathways affecting adult height have an important role in the etiology of breast cancer. PMID:26296642

  1. Angiogenesis in male breast cancer

    Directory of Open Access Journals (Sweden)

    Kanthan Rani

    2005-03-01

    Full Text Available Abstract Background Male breast cancer is a rare but aggressive and devastating disease. This disease presents at a later stage and in a more advanced fashion than its female counterpart. The immunophenotype also appears to be distinct when compared to female breast cancer. Angiogenesis plays a permissive role in the development of a solid tumor and provides an avenue for nutrient exchange and waste removal. Recent scrutiny of angiogenesis in female breast cancer has shown it to be of significant prognostic value. It was hypothesized that this holds true in invasive ductal carcinoma of the male breast. In the context of male breast cancer, we investigated the relationship of survival and other clinico-pathological variables to the microvascular density of the tumor tissue. Methods Seventy-five cases of primary male breast cancer were identified using the records of the Saskatchewan Cancer Agency over a period of 26 years. Forty-seven cases of invasive ductal carcinoma of the male breast had formalin-fixed paraffin-embedded tissue blocks that were suitable for this study. All cases were reviewed. Immunohistochemical staining was performed for the angiogenic markers (cluster designations 31 (CD31, 34 (CD34 and 105 (CD105, von Willebrand factor (VWF, and vascular endothelial growth factor (VEGF. Microvascular density (MVD was determined using average, centre, and highest microvessel counts (AMC, CMC, and HMC, respectively. Statistical analyses compared differences in the distribution of survival times and times to relapse between levels of MVD, tumor size, node status and age at diagnosis. In addition, MVD values were compared within each marker, between each marker, and were also compared to clinico-pathological data. Results Advanced age and tumor size were related to shorter survival times. There were no statistically significant differences in distributions of survival times and times to relapse between levels of MVD variables. There was no

  2. Secretory breast cancer. Case report.

    Science.gov (United States)

    Lombardi, A; Maggi, S; Bersigotti, L; Lazzarin, G; Nuccetelli, E; Amanti, C

    2013-04-01

    Secretory carcinoma of the breast is a rare tumor initially described in children but occurring equally in adult population. This unusual breast cancer subtype has a generally favorable prognosis, although several cases have been described in adults with increased aggressiveness and a risk of metastases. However, surgery is still considered the most appropriate treatment for this pathology. We describe the case of a 50 -year-old woman who has undergone a breast conservative surgery for a little tumor, preoperatively diagnosticated by a fine needle aspiration biopsy (FNAB) as a well differentiated infiltrating carcinoma.

  3. Intensity Modulated Accelerated Partial Breast Irradiation Before Surgery in Treating Older Patients With Hormone Responsive Stage 0-I Breast Cancer

    Science.gov (United States)

    2016-05-04

    Ductal Breast Carcinoma in Situ; Estrogen Receptor-negative Breast Cancer; Estrogen Receptor-positive Breast Cancer; Invasive Ductal Breast Carcinoma; Invasive Ductal Breast Carcinoma With Predominant Intraductal Component; Lobular Breast Carcinoma in Situ; Medullary Ductal Breast Carcinoma With Lymphocytic Infiltrate; Mucinous Ductal Breast Carcinoma; Papillary Ductal Breast Carcinoma; Progesterone Receptor-positive Breast Cancer; Stage IA Breast Cancer; Stage IB Breast Cancer; Tubular Ductal Breast Carcinoma

  4. Profiling genome-wide DNA methylation.

    Science.gov (United States)

    Yong, Wai-Shin; Hsu, Fei-Man; Chen, Pao-Yang

    2016-01-01

    DNA methylation is an epigenetic modification that plays an important role in regulating gene expression and therefore a broad range of biological processes and diseases. DNA methylation is tissue-specific, dynamic, sequence-context-dependent and trans-generationally heritable, and these complex patterns of methylation highlight the significance of profiling DNA methylation to answer biological questions. In this review, we surveyed major methylation assays, along with comparisons and biological examples, to provide an overview of DNA methylation profiling techniques. The advances in microarray and sequencing technologies make genome-wide profiling possible at a single-nucleotide or even a single-cell resolution. These profiling approaches vary in many aspects, such as DNA input, resolution, genomic region coverage, and bioinformatics analysis, and selecting a feasible method requires knowledge of these methods. We first introduce the biological background of DNA methylation and its pattern in plants, animals and fungi. We present an overview of major experimental approaches to profiling genome-wide DNA methylation and hydroxymethylation and then extend to the single-cell methylome. To evaluate these methods, we outline their strengths and weaknesses and perform comparisons across the different platforms. Due to the increasing need to compute high-throughput epigenomic data, we interrogate the computational pipeline for bisulfite sequencing data and also discuss the concept of identifying differentially methylated regions (DMRs). This review summarizes the experimental and computational concepts for profiling genome-wide DNA methylation, followed by biological examples. Overall, this review provides researchers useful guidance for the selection of a profiling method suited to specific research questions.

  5. Inflammatory breast cancer: an overview.

    Science.gov (United States)

    van Uden, D J P; van Laarhoven, H W M; Westenberg, A H; de Wilt, J H W; Blanken-Peeters, C F J M

    2015-02-01

    Inflammatory breast cancer (IBC) is the most aggressive entity of breast cancer. Management involves coordination of multidisciplinary management and usually includes neoadjuvant chemotherapy, ablative surgery if a tumor-free resection margin is expected and locoregional radiotherapy. This multimodal therapeutic approach has significantly improved patient survival. However, the median overall survival among women with IBC is still poor. By elucidating the biologic characteristics of IBC, new treatment options may become available. We performed a comprehensive review of the English-language literature on IBC through computerized literature searches. The objective of the current review is to present an overview of the literature related to the biology, imaging and multidisciplinary treatment of inflammatory breast cancer.

  6. Reconstruction for breast cancer in a nutshell.

    Science.gov (United States)

    Harmer, Victoria

    Breast cancer is a disease many will experience. Depending on the size of the cancer, the size of the host breast, and whether it is multi-focal, a mastectomy may be recommended as part of the treatment. If this is the case, an immediate breast reconstruction may be offered. This article will describe the three main types of breast reconstruction and discuss pertinent issues regarding this, including complications, surgery to the other (contraleteral) breast and potential psychological implications of this surgery.

  7. Occupational exposure and risk of breast cancer.

    Science.gov (United States)

    Fenga, Concettina

    2016-03-01

    Breast cancer is a multifactorial disease and the most commonly diagnosed cancer in women. Traditional risk factors for breast cancer include reproductive status, genetic mutations, family history and lifestyle. However, increasing evidence has identified an association between breast cancer and occupational factors, including environmental stimuli. Epidemiological and experimental studies demonstrated that ionizing and non-ionizing radiation exposure, night-shift work, pesticides, polycyclic aromatic hydrocarbons and metals are defined environmental factors for breast cancer, particularly at young ages. However, the mechanisms by which occupational factors can promote breast cancer initiation and progression remains to be elucidated. Furthermore, the evaluation of occupational factors for breast cancer, particularly in the workplace, also remains to be explained. The present review summarizes the occupational risk factors and the associated mechanisms involved in breast cancer development, in order to highlight new environmental exposures that could be correlated to breast cancer and to provide new insights for breast cancer prevention in the occupational settings. Furthermore, this review suggests that there is a requirement to include, through multidisciplinary approaches, different occupational exposure risks among those associated with breast cancer development. Finally, the design of new epigenetic biomarkers may be useful to identify the workers that are more susceptible to develop breast cancer.

  8. Interactive Gentle Yoga in Improving Quality of Life in Patients With Stage I-III Breast Cancer Undergoing Radiation Therapy

    Science.gov (United States)

    2017-01-17

    Anxiety Disorder; Depression; Ductal Breast Carcinoma in Situ; Fatigue; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  9. An update on inflammatory breast cancer

    Directory of Open Access Journals (Sweden)

    P. Thapaliya

    2011-12-01

    Full Text Available Inflammatory breast cancer is one of the most aggressive forms of breast cancer. Once considered to be a uniformly fatal disease, treatment of this entity has evolved significantly over the last two decades. In this article, we review the epidemiology, pathology, biologic underpinnings, radiologic advances, and treatment modalities for inflammatory breast cancer. Updates in surgical therapy, medical oncologic therapy and radiation therapy are reviewed. Emphasis is on cutting edge information regarding inflammatory breast cancer. The management of inflammatory breast cancer is best served by a multidisciplinary team. Continued research into molecular pathways and potential targets is imperative. Future clinical trials should include evaluation of conventional therapy with targeted therapies.

  10. Breast cancer epidemiology and risk factors

    Energy Technology Data Exchange (ETDEWEB)

    Broeders, M. J. M.; Verbeek, A. L. M. [Nijmegen, Univ. (Netherlands). Dept. of Epidemiology

    1997-09-01

    Breast cancer is the most common malignancy among women in the Western society. Over the past decades it has become apparent that breast cancer incidence rates are increasing steadily, whereas the mortality rates for breast cancer have remained relatively constant. Information through the media on this rising number of cases has increased breast health awareness but has also introduced anxiety in the female population. This combination of factors has made the need for prevention of breast cancer an urgent matter. Breast cancer does not seem to be a single disease entity. A specific etiologic factor may therefore have more influence on one form may therefore have more influence on one form of breast cancer than another. So far though, as shown in their summary of current knowledge on established and dubious risk factors, no risk factors have been identified that can explain a major part of the incidence. Efforts to identify other ways for primary prevention have also been discouraging, even though breast cancer is one of the most investigated tumours world-wide. Thus, at this point i time, the most important strategy to reduce breast cancer mortality is early detection through individual counselling and organised breast screening programs. The recent isolation of breast cancer susceptibility genes may introduce new ways to reduce the risk of breast cancer in a small subset of women.

  11. Danish Breast Cancer Cooperative Group

    DEFF Research Database (Denmark)

    Christiansen, Peer; Ejlertsen, Bent; Jensen, Maj-Britt

    2016-01-01

    AIM OF DATABASE: Danish Breast Cancer Cooperative Group (DBCG), with an associated database, was introduced as a nationwide multidisciplinary group in 1977 with the ultimate aim to improve the prognosis in breast cancer. Since then, the database has registered women diagnosed with primary invasive...... of adherence to the guidelines in the different departments. CONCLUSION: Utilizing data from the DBCG database, a long array of high-quality DBCG studies of various designs and scope, nationwide or in international collaboration, have contributed to the current updating of the guidelines, and have been...

  12. Breast Cancer (For Kids)

    Science.gov (United States)

    ... or sacs) or they can be due to normal breast changes associated with hormone changes or aging. Girls who are beginning puberty might notice a lump underneath the nipple when their breasts start developing. Usually, this is a normal. You can ask a parent or your doctor ...

  13. Ultrasound screening of contralateral breast after surgery for breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Kim, Seung Ja [Department of Radiology, Seoul Metropolitan Government Seoul National University, Boramae Medical Center (Korea, Republic of); Chung, Se-Yeong; Chang, Jung Min; Cho, Nariya [Department of Radiology, Seoul National University Hospital (Korea, Republic of); Han, Wonshik [Department of Surgery, Seoul National University Hospital (Korea, Republic of); Moon, Woo Kyung, E-mail: moonwk@snu.ac.kr [Department of Radiology, Seoul National University Hospital (Korea, Republic of)

    2015-01-15

    Highlights: • The addition of supplemental US to mammography depicted additional 5.0 cancers per 1000 postoperative women. • Positive biopsy rate of mammography-detected lesions was 66.7% (4 of 6) and that of US-detected lesions was 40.0% (6 of 15). • US can be helpful to detect mammographically occult breast cancer in the contralateral breast in women with previous history of cancer and dense breast. - Abstract: Objective: To determine whether supplemental screening ultrasound (US) to mammography could improve cancer detection rate of the contralateral breast in patients with a personal history of breast cancer and dense breasts. Materials and methods: During a one-year study period, 1314 screening patients with a personal history of breast cancer and dense breasts simultaneously underwent mammography and breast US. BI-RADS categories were given for mammography or US-detected lesions in the contralateral breast. The reference standard was histology and/or 1-year imaging follow-up, and the cancer rate according to BI-RADS categories and cancer detection rate and positive biopsy rate according to detection modality were analyzed. Results: Of 1314 patients, 84 patients (6.4%) were categorized as category 3 with one interval cancer and one cancer which was upgraded to category 4A after 6-month follow-up US (2.5% cancer rate, 95% CIs 1.5–9.1%). Fifteen patients (1.1%) had category 4A or 4B lesions in the contralateral breast. Four lesions were detected on mammography (two lesions were also visible on US) and 11 lesions were detected on US and 5 cancers were confirmed (33.3%, 95% CIs 15.0–58.5%). Six patients (0.5%) had category 4C lesions, 2 detected on mammography and 4 on US and 4 cancers were confirmed (66.7%, 95% CIs 29.6–90.8%). No lesions were categorized as category 5 in the contralateral breast. Cancer detection rate by mammography was 3.3 per 1000 patients and that by US was 5.0 per 1000 patients, therefore overall cancer detection rate by

  14. Discriminatory power of common genetic variants in personalized breast cancer diagnosis

    Science.gov (United States)

    Wu, Yirong; Abbey, Craig K.; Liu, Jie; Ong, Irene; Peissig, Peggy; Onitilo, Adedayo A.; Fan, Jun; Yuan, Ming; Burnside, Elizabeth S.

    2016-03-01

    Technology advances in genome-wide association studies (GWAS) has engendered optimism that we have entered a new age of precision medicine, in which the risk of breast cancer can be predicted on the basis of a person's genetic variants. The goal of this study is to evaluate the discriminatory power of common genetic variants in breast cancer risk estimation. We conducted a retrospective case-control study drawing from an existing personalized medicine data repository. We collected variables that predict breast cancer risk: 153 high-frequency/low-penetrance genetic variants, reflecting the state-of-the-art GWAS on breast cancer, mammography descriptors and BI-RADS assessment categories in the Breast Imaging Reporting and Data System (BI-RADS) lexicon. We trained and tested naïve Bayes models by using these predictive variables. We generated ROC curves and used the area under the ROC curve (AUC) to quantify predictive performance. We found that genetic variants achieved comparable predictive performance to BI-RADS assessment categories in terms of AUC (0.650 vs. 0.659, p-value = 0.742), but significantly lower predictive performance than the combination of BI-RADS assessment categories and mammography descriptors (0.650 vs. 0.751, p-value < 0.001). A better understanding of relative predictive capability of genetic variants and mammography data may benefit clinicians and patients to make appropriate decisions about breast cancer screening, prevention, and treatment in the era of precision medicine.

  15. Common non-synonymous SNPs associated with breast cancer susceptibility: findings from the Breast Cancer Association Consortium.

    Science.gov (United States)

    Milne, Roger L; Burwinkel, Barbara; Michailidou, Kyriaki; Arias-Perez, Jose-Ignacio; Zamora, M Pilar; Menéndez-Rodríguez, Primitiva; Hardisson, David; Mendiola, Marta; González-Neira, Anna; Pita, Guillermo; Alonso, M Rosario; Dennis, Joe; Wang, Qin; Bolla, Manjeet K; Swerdlow, Anthony; Ashworth, Alan; Orr, Nick; Schoemaker, Minouk; Ko, Yon-Dschun; Brauch, Hiltrud; Hamann, Ute; Andrulis, Irene L; Knight, Julia A; Glendon, Gord; Tchatchou, Sandrine; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Tajima, Kazuo; Li, Jingmei; Brand, Judith S; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Lambrechts, Diether; Peuteman, Gilian; Christiaens, Marie-Rose; Smeets, Ann; Jakubowska, Anna; Lubinski, Jan; Jaworska-Bieniek, Katarzyna; Durda, Katazyna; Hartman, Mikael; Hui, Miao; Yen Lim, Wei; Wan Chan, Ching; Marme, Federick; Yang, Rongxi; Bugert, Peter; Lindblom, Annika; Margolin, Sara; García-Closas, Montserrat; Chanock, Stephen J; Lissowska, Jolanta; Figueroa, Jonine D; Bojesen, Stig E; Nordestgaard, Børge G; Flyger, Henrik; Hooning, Maartje J; Kriege, Mieke; van den Ouweland, Ans M W; Koppert, Linetta B; Fletcher, Olivia; Johnson, Nichola; dos-Santos-Silva, Isabel; Peto, Julian; Zheng, Wei; Deming-Halverson, Sandra; Shrubsole, Martha J; Long, Jirong; Chang-Claude, Jenny; Rudolph, Anja; Seibold, Petra; Flesch-Janys, Dieter; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Cox, Angela; Cross, Simon S; Reed, Malcolm W R; Schmidt, Marjanka K; Broeks, Annegien; Cornelissen, Sten; Braaf, Linde; Kang, Daehee; Choi, Ji-Yeob; Park, Sue K; Noh, Dong-Young; Simard, Jacques; Dumont, Martine; Goldberg, Mark S; Labrèche, France; Fasching, Peter A; Hein, Alexander; Ekici, Arif B; Beckmann, Matthias W; Radice, Paolo; Peterlongo, Paolo; Azzollini, Jacopo; Barile, Monica; Sawyer, Elinor; Tomlinson, Ian; Kerin, Michael; Miller, Nicola; Hopper, John L; Schmidt, Daniel F; Makalic, Enes; Southey, Melissa C; Hwang Teo, Soo; Har Yip, Cheng; Sivanandan, Kavitta; Tay, Wan-Ting; Shen, Chen-Yang; Hsiung, Chia-Ni; Yu, Jyh-Cherng; Hou, Ming-Feng; Guénel, Pascal; Truong, Therese; Sanchez, Marie; Mulot, Claire; Blot, William; Cai, Qiuyin; Nevanlinna, Heli; Muranen, Taru A; Aittomäki, Kristiina; Blomqvist, Carl; Wu, Anna H; Tseng, Chiu-Chen; Van Den Berg, David; Stram, Daniel O; Bogdanova, Natalia; Dörk, Thilo; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Zhang, Ben; Couch, Fergus J; Toland, Amanda E; Yannoukakos, Drakoulis; Sangrajrang, Suleeporn; McKay, James; Wang, Xianshu; Olson, Janet E; Vachon, Celine; Purrington, Kristen; Severi, Gianluca; Baglietto, Laura; Haiman, Christopher A; Henderson, Brian E; Schumacher, Fredrick; Le Marchand, Loic; Devilee, Peter; Tollenaar, Robert A E M; Seynaeve, Caroline; Czene, Kamila; Eriksson, Mikael; Humphreys, Keith; Darabi, Hatef; Ahmed, Shahana; Shah, Mitul; Pharoah, Paul D P; Hall, Per; Giles, Graham G; Benítez, Javier; Dunning, Alison M; Chenevix-Trench, Georgia; Easton, Douglas F

    2014-11-15

    Candidate variant association studies have been largely unsuccessful in identifying common breast cancer susceptibility variants, although most studies have been underpowered to detect associations of a realistic magnitude. We assessed 41 common non-synonymous single-nucleotide polymorphisms (nsSNPs) for which evidence of association with breast cancer risk had been previously reported. Case-control data were combined from 38 studies of white European women (46 450 cases and 42 600 controls) and analyzed using unconditional logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21 [rs1053338, per allele OR = 1.07, 95% confidence interval (CI) = 1.04-1.10, P = 2.9 × 10(-6)], AKAP9-M463I at 7q21 (rs6964587, OR = 1.05, 95% CI = 1.03-1.07, P = 1.7 × 10(-6)) and NEK10-L513S at 3p24 (rs10510592, OR = 1.10, 95% CI = 1.07-1.12, P = 5.1 × 10(-17)). The first two associations reached genome-wide statistical significance in a combined analysis of available data, including independent data from nine genome-wide association studies (GWASs): for ATXN7-K264R, OR = 1.07 (95% CI = 1.05-1.10, P = 1.0 × 10(-8)); for AKAP9-M463I, OR = 1.05 (95% CI = 1.04-1.07, P = 2.0 × 10(-10)). Further analysis of other common variants in these two regions suggested that intronic SNPs nearby are more strongly associated with disease risk. We have thus identified a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility region; the association was substantially attenuated after adjustment for the known GWAS hit. Thus, each of the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying variants and the genes through which they act.

  16. Common non-synonymous SNPs associated with breast cancer susceptibility: findings from the Breast Cancer Association Consortium

    Science.gov (United States)

    Milne, Roger L.; Burwinkel, Barbara; Michailidou, Kyriaki; Arias-Perez, Jose-Ignacio; Zamora, M. Pilar; Menéndez-Rodríguez, Primitiva; Hardisson, David; Mendiola, Marta; González-Neira, Anna; Pita, Guillermo; Alonso, M. Rosario; Dennis, Joe; Wang, Qin; Bolla, Manjeet K.; Swerdlow, Anthony; Ashworth, Alan; Orr, Nick; Schoemaker, Minouk; Ko, Yon-Dschun; Brauch, Hiltrud; Hamann, Ute; Andrulis, Irene L.; Knight, Julia A.; Glendon, Gord; Tchatchou, Sandrine; Matsuo, Keitaro; Ito, Hidemi; Iwata, Hiroji; Tajima, Kazuo; Li, Jingmei; Brand, Judith S.; Brenner, Hermann; Dieffenbach, Aida Karina; Arndt, Volker; Stegmaier, Christa; Lambrechts, Diether; Peuteman, Gilian; Christiaens, Marie-Rose; Smeets, Ann; Jakubowska, Anna; Lubinski, Jan; Jaworska-Bieniek, Katarzyna; Durda, Katazyna; Hartman, Mikael; Hui, Miao; Yen Lim, Wei; Wan Chan, Ching; Marme, Federick; Yang, Rongxi; Bugert, Peter; Lindblom, Annika; Margolin, Sara; García-Closas, Montserrat; Chanock, Stephen J.; Lissowska, Jolanta; Figueroa, Jonine D.; Bojesen, Stig E.; Nordestgaard, Børge G.; Flyger, Henrik; Hooning, Maartje J.; Kriege, Mieke; van den Ouweland, Ans M.W.; Koppert, Linetta B.; Fletcher, Olivia; Johnson, Nichola; dos-Santos-Silva, Isabel; Peto, Julian; Zheng, Wei; Deming-Halverson, Sandra; Shrubsole, Martha J.; Long, Jirong; Chang-Claude, Jenny; Rudolph, Anja; Seibold, Petra; Flesch-Janys, Dieter; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Cox, Angela; Cross, Simon S.; Reed, Malcolm W.R.; Schmidt, Marjanka K.; Broeks, Annegien; Cornelissen, Sten; Braaf, Linde; Kang, Daehee; Choi, Ji-Yeob; Park, Sue K.; Noh, Dong-Young; Simard, Jacques; Dumont, Martine; Goldberg, Mark S.; Labrèche, France; Fasching, Peter A.; Hein, Alexander; Ekici, Arif B.; Beckmann, Matthias W.; Radice, Paolo; Peterlongo, Paolo; Azzollini, Jacopo; Barile, Monica; Sawyer, Elinor; Tomlinson, Ian; Kerin, Michael; Miller, Nicola; Hopper, John L.; Schmidt, Daniel F.; Makalic, Enes; Southey, Melissa C.; Hwang Teo, Soo; Har Yip, Cheng; Sivanandan, Kavitta; Tay, Wan-Ting; Shen, Chen-Yang; Hsiung, Chia-Ni; Yu, Jyh-Cherng; Hou, Ming-Feng; Guénel, Pascal; Truong, Therese; Sanchez, Marie; Mulot, Claire; Blot, William; Cai, Qiuyin; Nevanlinna, Heli; Muranen, Taru A.; Aittomäki, Kristiina; Blomqvist, Carl; Wu, Anna H.; Tseng, Chiu-Chen; Van Den Berg, David; Stram, Daniel O.; Bogdanova, Natalia; Dörk, Thilo; Muir, Kenneth; Lophatananon, Artitaya; Stewart-Brown, Sarah; Siriwanarangsan, Pornthep; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M.; Shu, Xiao-Ou; Lu, Wei; Gao, Yu-Tang; Zhang, Ben; Couch, Fergus J.; Toland, Amanda E.; Yannoukakos, Drakoulis; Sangrajrang, Suleeporn; McKay, James; Wang, Xianshu; Olson, Janet E.; Vachon, Celine; Purrington, Kristen; Severi, Gianluca; Baglietto, Laura; Haiman, Christopher A.; Henderson, Brian E.; Schumacher, Fredrick; Le Marchand, Loic; Devilee, Peter; Tollenaar, Robert A.E.M.; Seynaeve, Caroline; Czene, Kamila; Eriksson, Mikael; Humphreys, Keith; Darabi, Hatef; Ahmed, Shahana; Shah, Mitul; Pharoah, Paul D.P.; Hall, Per; Giles, Graham G.; Benítez, Javier; Dunning, Alison M.; Chenevix-Trench, Georgia; Easton, Douglas F.; Berchuck, Andrew; Eeles, Rosalind A.; Olama, Ali Amin Al; Kote-Jarai, Zsofia; Benlloch, Sara; Antoniou, Antonis; McGuffog, Lesley; Offit, Ken; Lee, Andrew; Dicks, Ed; Luccarini, Craig; Tessier, Daniel C.; Bacot, Francois; Vincent, Daniel; LaBoissière, Sylvie; Robidoux, Frederic; Nielsen, Sune F.; Cunningham, Julie M.; Windebank, Sharon A.; Hilker, Christopher A.; Meyer, Jeffrey; Angelakos, Maggie; Maskiell, Judi; van der Schoot, Ellen; Rutgers, Emiel; Verhoef, Senno; Hogervorst, Frans; Boonyawongviroj, Prat; Siriwanarungsan, Pornthep; Schrauder, Michael; Rübner, Matthias; Oeser, Sonja; Landrith, Silke; Williams, Eileen; Ryder-Mills, Elaine; Sargus, Kara; McInerney, Niall; Colleran, Gabrielle; Rowan, Andrew; Jones, Angela; Sohn, Christof; Schneeweiß, Andeas; Bugert, Peter; Álvarez, Núria; Lacey, James; Wang, Sophia; Ma, Huiyan; Lu, Yani; Deapen, Dennis; Pinder, Rich; Lee, Eunjung; Schumacher, Fred; Horn-Ross, Pam; Reynolds, Peggy; Nelson, David; Ziegler, Hartwig; Wolf, Sonja; Hermann, Volker; Lo, Wing-Yee; Justenhoven, Christina; Baisch, Christian; Fischer, Hans-Peter; Brüning, Thomas; Pesch, Beate; Rabstein, Sylvia; Lotz, Anne; Harth, Volker; Heikkinen, Tuomas; Erkkilä, Irja; Aaltonen, Kirsimari; von Smitten, Karl; Antonenkova, Natalia; Hillemanns, Peter; Christiansen, Hans; Myöhänen, Eija; Kemiläinen, Helena; Thorne, Heather; Niedermayr, Eveline; Bowtell, D; Chenevix-Trench, G; deFazio, A; Gertig, D; Green, A; Webb, P; Green, A.; Parsons, P.; Hayward, N.; Webb, P.; Whiteman, D.; Fung, Annie; Yashiki, June; Peuteman, Gilian; Smeets, Dominiek; Brussel, Thomas Van; Corthouts, Kathleen; Obi, Nadia; Heinz, Judith; Behrens, Sabine; Eilber, Ursula; Celik, Muhabbet; Olchers, Til; Manoukian, Siranoush; Peissel, Bernard; Scuvera, Giulietta; Zaffaroni, Daniela; Bonanni, Bernardo; Feroce, Irene; Maniscalco, Angela; Rossi, Alessandra; Bernard, Loris; Tranchant, Martine; Valois, Marie-France; Turgeon, Annie; Heguy, Lea; Sze Yee, Phuah; Kang, Peter; Nee, Kang In; Mariapun, Shivaani; Sook-Yee, Yoon; Lee, Daphne; Ching, Teh Yew; Taib, Nur Aishah Mohd; Otsukka, Meeri; Mononen, Kari; Selander, Teresa; Weerasooriya, Nayana; staff, OFBCR; Krol-Warmerdam, E.; Molenaar, J.; Blom, J.; Brinton, Louise; Szeszenia-Dabrowska, Neonila; Peplonska, Beata; Zatonski, Witold; Chao, Pei; Stagner, Michael; Bos, Petra; Blom, Jannet; Crepin, Ellen; Nieuwlaat, Anja; Heemskerk, Annette; Higham, Sue; Cross, Simon; Cramp, Helen; Connley, Dan; Balasubramanian, Sabapathy; Brock, Ian; Luccarini, Craig; Conroy, Don; Baynes, Caroline; Chua, Kimberley

    2014-01-01

    Candidate variant association studies have been largely unsuccessful in identifying common breast cancer susceptibility variants, although most studies have been underpowered to detect associations of a realistic magnitude. We assessed 41 common non-synonymous single-nucleotide polymorphisms (nsSNPs) for which evidence of association with breast cancer risk had been previously reported. Case-control data were combined from 38 studies of white European women (46 450 cases and 42 600 controls) and analyzed using unconditional logistic regression. Strong evidence of association was observed for three nsSNPs: ATXN7-K264R at 3p21 [rs1053338, per allele OR = 1.07, 95% confidence interval (CI) = 1.04–1.10, P = 2.9 × 10−6], AKAP9-M463I at 7q21 (rs6964587, OR = 1.05, 95% CI = 1.03–1.07, P = 1.7 × 10−6) and NEK10-L513S at 3p24 (rs10510592, OR = 1.10, 95% CI = 1.07–1.12, P = 5.1 × 10−17). The first two associations reached genome-wide statistical significance in a combined analysis of available data, including independent data from nine genome-wide association studies (GWASs): for ATXN7-K264R, OR = 1.07 (95% CI = 1.05–1.10, P = 1.0 × 10−8); for AKAP9-M463I, OR = 1.05 (95% CI = 1.04–1.07, P = 2.0 × 10−10). Further analysis of other common variants in these two regions suggested that intronic SNPs nearby are more strongly associated with disease risk. We have thus identified a novel susceptibility locus at 3p21, and confirmed previous suggestive evidence that rs6964587 at 7q21 is associated with risk. The third locus, rs10510592, is located in an established breast cancer susceptibility region; the association was substantially attenuated after adjustment for the known GWAS hit. Thus, each of the associated nsSNPs is likely to be a marker for another, non-coding, variant causally related to breast cancer risk. Further fine-mapping and functional studies are required to identify the underlying risk-modifying variants and the genes through which they act

  17. NUCKS overexpression in breast cancer

    Directory of Open Access Journals (Sweden)

    Kittas Christos

    2009-08-01

    Full Text Available Abstract Background NUCKS (Nuclear, Casein Kinase and Cyclin-dependent Kinase Substrate is a nuclear, DNA-binding and highly phosphorylated protein. A number of reports show that NUCKS is highly expressed on the level of mRNA in several human cancers, including breast cancer. In this work, NUCKS expression on both RNA and protein levels was studied in breast tissue biopsies consisted of invasive carcinomas, intraductal proliferative lesions, benign epithelial proliferations and fibroadenomas, as well as in primary cultures derived from the above biopsies. Specifically, in order to evaluate the level of NUCKS protein in correlation with the histopathological features of breast disease, immunohistochemistry was employed on paraffin sections of breast biopsies of the above types. In addition, NUCKS expression was studied by means of Reverse Transcription PCR (RT-PCR, real-time PCR (qRT-PCR and Western immunoblot analyses in the primary cell cultures developed from the same biopsies. Results The immunohistochemical Results showed intense NUCKS staining mostly in grade I and II breast carcinomas compared to normal tissues. Furthermore, NUCKS was moderate expressed in benign epithelial proliferations, such as adenosis and sclerosing adenosis, and highly expressed in intraductal lesions, specifically in ductal carcinomas in situ (DCIS. It is worth noting that all the fibroadenoma tissues examined were negative for NUCKS staining. RT-PCR and qRT-PCR showed an increase of NUCKS expression in cells derived from primary cultures of proliferative lesions and cancerous tissues compared to the ones derived from normal breast tissues and fibroadenomas. This increase was also confirmed by Western immunoblot analysis. Although NUCKS is a cell cycle related protein, its expression does not correlate with Ki67 expression, neither in tissue sections nor in primary cell cultures. Conclusion The results show overexpression of the NUCKS protein in a number of non

  18. Delayed breast reconstruction with implants after invasive breast cancer does not impair prognosis

    DEFF Research Database (Denmark)

    Hölmich, Lisbet Rosenkrantz; Düring, Maria; Henriksen, Trine Foged;

    2008-01-01

    We investigated if delayed breast implant reconstruction after breast cancer impairs prognosis. Using data from the Danish Breast Cancer Cooperative Group register, we identified all women......We investigated if delayed breast implant reconstruction after breast cancer impairs prognosis. Using data from the Danish Breast Cancer Cooperative Group register, we identified all women...

  19. Genome-wide identification of enhancer elements.

    Science.gov (United States)

    Tulin, Sarah; Barsi, Julius C; Bocconcelli, Carlo; Smith, Joel

    2016-01-01

    We present a prospective genome-wide regulatory element database for the sea urchin embryo and the modified chromosome capture-related methodology used to create it. The method we developed is termed GRIP-seq for genome-wide regulatory element immunoprecipitation and combines features of chromosome conformation capture, chromatin immunoprecipitation, and paired-end next-generation sequencing with molecular steps that enrich for active cis-regulatory elements associated with basal transcriptional machinery. The first GRIP-seq database, available to the community, comes from S. purpuratus 24 hpf embryos and takes advantage of the extremely well-characterized cis-regulatory elements in this system for validation. In addition, using the GRIP-seq database, we identify and experimentally validate a novel, intronic cis-regulatory element at the onecut locus. We find GRIP-seq signal sensitively identifies active cis-regulatory elements with a high signal-to-noise ratio for both distal and intronic elements. This promising GRIP-seq protocol has the potential to address a rate-limiting step in resolving comprehensive, predictive network models in all systems.

  20. Association of breast cancer risk loci with breast cancer survival

    NARCIS (Netherlands)

    Barrdahl, Myrto; Canzian, Federico; Lindström, Sara; Shui, Irene; Black, Amanda; Hoover, Robert N.; Ziegler, Regina G.; Buring, Julie E.; Chanock, Stephen J.; Diver, W. Ryan; Gapstur, Susan M.; Gaudet, Mia M.; Giles, Graham G.; Haiman, Christopher; Henderson, Brian E.; Hankinson, Susan; Hunter, David J.; Joshi, Amit D.; Kraft, Peter; Lee, I. Min; Le Marchand, Loic; Milne, Roger L.; Southey, Melissa C.; Willett, Walter; Gunter, Marc; Panico, Salvatore; Sund, Malin; Weiderpass, Elisabete; Sánchez, María José; Overvad, Kim; Dossus, Laure; Peeters, Petra H.; Khaw, Kay Tee; Trichopoulos, Dimitrios; Kaaks, Rudolf; Campa, Daniele

    2015-01-01

    The survival of breast cancer patients is largely influenced by tumor characteristics, such as TNM stage, tumor grade and hormone receptor status. However, there is growing evidence that inherited genetic variation might affect the disease prognosis and response to treatment. Several lines of eviden

  1. THE RELATION BETWEEN BREAST FEEDING AND BREAST CANCER

    Directory of Open Access Journals (Sweden)

    M.Alavi Naini

    1998-03-01

    Full Text Available Second to the cardiovascular disease, cancer is the main cause of death in Iran. In this study some of the risk factors of breast cancer; especially the ones related to breastfeeding have been assessed. The study was a retrospective study of 100 women with breast cancer. The most important risk factors in breast cancer were number of children, age of mother on the first pregnancy. The result showed that the increase of breast cancer was related to women who stopped breastfeeding before age 24 months. Breastfeeding for more than 12 months will reduce the incidence of breast cancer by 25%. In general there was a reverse relationship between duration of breastfeeding and risk of cancer in premonopausal, but not in postmenopausal women.

  2. Human papilloma viruses (HPV and breast cancer.

    Directory of Open Access Journals (Sweden)

    James Sutherland Lawson

    2015-12-01

    Full Text Available Purpose: Human papillomaviruses (HPV may have a role in some breast cancers. The purpose of this study is to fill important gaps in the evidence. These gaps are: (i confirmation of the presence of high risk for cancer HPVs in breast cancers, (ii evidence of HPV infections in benign breast tissues prior to the development of HPV positive breast cancer in the same patients, (iii evidence that HPVs are biologically active and not harmless passengers in breast cancer.Methods: RNA-seq data from The Cancer Genome Atlas (TCGA was used to identify HPV RNA sequences in breast cancers. We also conducted a retrospective cohort study based on polymerase chain reaction (PCR analyses to identify HPVs in archival specimens from Australian women with benign breast biopsies who later developed breast cancer. To assess whether HPVs in breast cancer were biologically active, the expression of the oncogenic protein HPV E7 was assessed by immunohistochemistry (IHC.Results: Thirty (3.5% low risk and 20 (2.3% high risk HPV types were identified in 855 breast cancers from the TCGA data base. The high risk types were HPV 18 (48%, HPV 113 (24%, HPV 16 (10%, HPV 52 (10%. Data from the PCR cohort study, indicated that HPV type 18 was the most common type identified in breast cancer specimens (55% of 40 breast cancer specimens followed by HPV 16 (13%. The same HPV type was identified in both the benign and subsequent breast cancer in 15 patients. HPV E7 proteins were identified in 72% of benign breast specimens and 59% of invasive breast cancer specimens.Conclusions: There were 4 observations of particular interest: (i confirmation by both NGS and PCR of the presence of high risk HPV gene sequences in breast cancers, (ii a correlation between high risk HPV in benign breast specimens and subsequent HPV positive breast cancer in the same patient, (iii HPVs in breast cancer are likely to be biologically active (as shown by transcription of HPV DNA to RNA plus the expression of

  3. Antiangiogenic therapy for breast cancer

    DEFF Research Database (Denmark)

    Nielsen, D.L.; Andersson, M.; Andersen, Jon Alexander Lykkegaard

    2010-01-01

    and optimal use of these agents for the treatment of breast cancer. Currently, the most promising approach has been the use of bevacizumab, a humanized monoclonal antibody directed against the most potent pro-angiogenic factor, vascular endothelial growth factor (VEGF). Small molecular inhibitors of VEGF...... tyrosine kinase activity, such as sorafenib, appear promising. While, the role of sunitinib and inhibitors of mammalian target of rapamycin (mTOR) in breast cancer has to be defined. Several unanswered questions remain, such as choice of drug(s), optimal duration of therapy and patient selection criteria......ABSTRACT: Angiogenesis is an important component of cancer growth, invasion and metastasis. Therefore, inhibition of angiogenesis is an attractive strategy for treatment of cancer. We describe existing clinical trials of antiangiogenic agents and the challenges facing the clinical development...

  4. Dietary fiber and breast cancer.

    Science.gov (United States)

    Cohen, L A

    1999-01-01

    The Fiber Hypothesis which had its origins in the work of Burkitt and others in the early 1970's, focussed largely on fiber's beneficial effects on colon cancer and disorders of the gastric intestinal tract. In the 1980's it was proposed that fiber may also have beneficial effects on breast cancer and a rational for this was proposed involving modulation, by fiber, of the enterohepatic recirculation of estrogens. In the following the evidence from epidemiology, clinical interventions and animal model studies, supporting a role for fiber in breast cancer is critically reviewed. Evidence from animal model studies support the notion that supplementary fiber inhibits chemically-induced mammary tumorigenesis but do not support an estrogen-based mechanism. Some studies in human populations suggest modulation by estrogens and some do not. The aggregate data point to minor constituents present in fiber, such as isoflavones and phytate as the biologically active components of fiber which may be responsible for its anti cancer effects.

  5. Breast Cancer in Systemic Lupus Erythematosus

    DEFF Research Database (Denmark)

    Tessier Cloutier, B; Clarke, A E; Ramsey-Goldman, R

    2013-01-01

    Evidence points to a decreased breast cancer risk in systemic lupus erythematosus (SLE). We analyzed data from a large multisite SLE cohort, linked to cancer registries.......Evidence points to a decreased breast cancer risk in systemic lupus erythematosus (SLE). We analyzed data from a large multisite SLE cohort, linked to cancer registries....

  6. Hereditary breast and ovarian cancer

    DEFF Research Database (Denmark)

    Nielsen, Finn Cilius; van Overeem Hansen, Thomas; Sørensen, Claus Storgaard

    2016-01-01

    Genetic abnormalities in the DNA repair genes BRCA1 and BRCA2 predispose to hereditary breast and ovarian cancer (HBOC). However, only approximately 25% of cases of HBOC can be ascribed to BRCA1 and BRCA2 mutations. Recently, exome sequencing has uncovered substantial locus heterogeneity among...... of putative causal variants and the clinical application of new HBOC genes in cancer risk management and treatment decision-making....

  7. Risk, characteristics, and prognosis of breast cancer after Hodgkin's lymphoma

    OpenAIRE

    Veit-rubin, Nikolaus; Rapiti Aylward, Elisabetta; Usel, Massimo; Benhamou, Simone; Vinh Hung, Vincent; Vlastos, Georges; Bouchardy Magnin, Christine

    2012-01-01

    Patients with breast cancer after Hodgkin's lymphoma were compared with patients with other breast cancers using the Surveillance, Epidemiology and End Results dataset. Hodgkin's lymphoma survivors had a higher risk for breast cancer, more aggressive breast cancers, a higher risk for a second breast cancer, and a poorer prognosis.

  8. What You Need to Know about Breast Cancer

    Science.gov (United States)

    ... Publications Reports What You Need To Know About™ Breast Cancer This booklet is about breast cancer. Learning about your cancer can help you take ... This booklet covers: Basics about breast anatomy and breast cancer Treatments for breast cancer, including taking part in ...

  9. Risk of primary non-breast cancer after female breast cancer by age at diagnosis

    DEFF Research Database (Denmark)

    Mellemkjær, Lene; Christensen, Jane; Frederiksen, Kirsten Skovsgaard;

    2011-01-01

    Women diagnosed with breast cancer at young age have been shown to be at higher risk of developing a new primary cancer than women diagnosed at older ages, but little is known about whether adjustment for calendar year of breast cancer diagnosis, length of follow-up, and/or breast cancer treatment...

  10. Adipocytokines and breast cancer risk

    Institute of Scientific and Technical Information of China (English)

    HOU Wei-kai; XU Yu-xin; YU Ting; ZHANG Li; ZHANG Wen-wen; FU Chun-li; SUN Yu; WU Qing; CHEN Li

    2007-01-01

    Background Many researches suggested that obesity increased the risk of breast cancer, but the mechanism was currently unknown. Adipocytokines might mediate the relationship. Our study was aimed to investigate the relationship between serum levels of resistin, adiponectin and leptin and the onset, invasion and metastasis of breast cancer.Methods Blood samples were collected from 80 newly diagnosed, histologically confirmed breast cancer patients and 50 age-matched healthy controls. Serum levels of resistin, adiponectin and leptin were determined by enzyme-linked immunosorbent assays (ELISA); fasting blood glucose (FBG), lipids, body mass index (BMI), and waist circumference (WC) were assayed simultaneously.Results Serum levels of adiponectin ((8.60±2.92) mg/L vs (10.37±2.81) mg/L, P=0.001) and HDL-c were significantly decreased in breast cancer patients in comparison to controls. Serum levels of resistin ((26.35±5.36) μg/L vs (23.32±4.75)μg/L, P=0.000), leptin ((1.35±0.42) μg/L vs (1.06±0.39) μg/L, P=0.003), FBG and triglyceride (TG) in breast cancer patients were increased in contrast to controls, respectively. However, we did not find the significant difference of the serum levels of resistin, adiponectin and leptin between premenopausal breast cancer patients and healthy controls (P=0.091, 0.109 and 0.084, respectively). The serum levels of resistin, adiponectin and leptin were significantly different between patients with lymph node metastasis (LNM) and those without LNM (P=0.001, 0.000 and 0.006, respectively).The stepwise regression analysis indicated that the tumor size had the close correlation with leptin (R2=0.414, P=0.000)and FBG (R2=0.602, P=0.000). Logistic regression analysis showed that reduced serum levels of adiponectin (OR:0.805;95%CI: 0.704-0.921; P=0.001), HDL (OR: 0.087; 95%CI: 0.011-0.691, P=0.021), elevated leptin (OR:2.235;95%CI:1.898-4.526; P=0.004) and resistin (OR: 1.335; 95%CI: 1.114-2.354; P=0.012) increased the risk for

  11. Integrated Immunotherapy for Breast Cancer

    Science.gov (United States)

    2013-09-01

    CSF. J Clin Invest 117, 1902 (Jul, 2007). 32. H. Yamaguchi et al., Milk fat globule EGF factor 8 in the serum of human patients of systemic lupus erythematosus . J Leukoc Biol 83, 1300 (May, 2008). ...comprehensive and systematic manner is the underlying principle of my goal to develop ’rational combination immunotherapy’ for breast cancer, one

  12. Mouse Stirs up Breast Cancer

    Institute of Scientific and Technical Information of China (English)

    Helen Pilcher; 孙雯

    2004-01-01

    @@ The humble house mouse could be more dangerous than we thought,according to a study that suggests a rodent① virus plays a role in the development of breast cancer. But the finding is contentious② and reignites③ a long-standing④wrangle⑤ about the potential⑥ causes of the disease.

  13. Antiangiogenic therapy for breast cancer

    DEFF Research Database (Denmark)

    Nielsen, D.L.; Andersson, M.; Andersen, Jon Alexander Lykkegaard;

    2010-01-01

    tyrosine kinase activity, such as sorafenib, appear promising. While, the role of sunitinib and inhibitors of mammalian target of rapamycin (mTOR) in breast cancer has to be defined. Several unanswered questions remain, such as choice of drug(s), optimal duration of therapy and patient selection criteria...

  14. Genetic determinants of breast cancer

    NARCIS (Netherlands)

    A.M. Gonzalez-Zuloeta Ladd (Angela)

    2007-01-01

    textabstractBreast cancer is the most common malignancy in women in the Western world and it is estimated that women who survive to the age of 85 years will have a 1 in 9 lifetime probability of developing this type of neoplasia (1, 2). The degree of risk is not spread homogeneously across the gener

  15. Breast Cancer Startup Challenge winners

    Science.gov (United States)

    Ten winners of a world-wide competition to bring emerging breast cancer research technologies to market faster were announced today by the Avon Foundation for Women, in partnership with NCI and the Center for Advancing Innovation (CAI). Avon is providing

  16. Breast cancer with inguinal node recurrence

    Directory of Open Access Journals (Sweden)

    Shikha Goyal

    2015-03-01

    Full Text Available Surgery and irradiation for breast cancer may interfere with conventional pathways of spread, leading to bizarre patterns of dissemination through lymphatics or through hematogenous route. Lymphoscintigraphic studies may help identify nodal involvement. Other possible reasons could be occurrence of primary breast cancer in accessory breast tissue retained in the vulva following involution of milk line. We describe a case of triple negative breast cancer, who developed contralateral breast cancer during treatment. Three years later, she developed isolated inguinal nodal metastases, which responded to local radiotherapy and chemotherapy. However, the patient relapsed after 2 years and could not be salvaged thereafter.

  17. Zinc isotopic compositions of breast cancer tissue.

    Science.gov (United States)

    Larner, Fiona; Woodley, Laura N; Shousha, Sami; Moyes, Ashley; Humphreys-Williams, Emma; Strekopytov, Stanislav; Halliday, Alex N; Rehkämper, Mark; Coombes, R Charles

    2015-01-01

    An early diagnostic biomarker for breast cancer is essential to improve outcome. High precision isotopic analysis, originating in Earth sciences, can detect very small shifts in metal pathways. For the first time, the natural intrinsic Zn isotopic compositions of various tissues in breast cancer patients and controls were determined. Breast cancer tumours were found to have a significantly lighter Zn isotopic composition than the blood, serum and healthy breast tissue in both groups. The Zn isotopic lightness in tumours suggests that sulphur rich metallothionein dominates the isotopic selectivity of a breast tissue cell, rather than Zn-specific proteins. This reveals a possible mechanism of Zn delivery to Zn-sequestering vesicles by metallothionein, and is supported by a similar signature observed in the copper isotopic compositions of one breast cancer patient. This change in intrinsic isotopic compositions due to cancer has the potential to provide a novel early biomarker for breast cancer.

  18. Current and upcoming approaches to exploit the reversibility of epigenetic mutations in breast cancer.

    Science.gov (United States)

    Falahi, Fahimeh; van Kruchten, Michel; Martinet, Nadine; Hospers, Geke A P; Rots, Marianne G

    2014-07-29

    DNA methylation and histone modifications are important epigenetic modifications associated with gene (dys)regulation. The epigenetic modifications are balanced by epigenetic enzymes, so-called writers and erasers, such as DNA (de)methylases and histone (de)acetylases. Aberrant epigenetic alterations have been associated with various diseases, including breast cancer. Since aberrant epigenetic modifications are potentially reversible, they might represent targets for breast cancer therapy. Indeed, several drugs have been designed to inhibit epigenetic enzymes (epi-drugs), thereby reversing epigenetic modifications. US Food and Drug Administration approval has been obtained for some epi-drugs for hematological malignancies. However, these drugs have had very modest anti-tumor efficacy in phase I and II clinical trials in breast cancer patients as monotherapy. Therefore, current clinical trials focus on the combination of epi-drugs with other therapies to enhance or restore the sensitivity to such therapies. This approach has yielded some promising results in early phase II trials. The disadvantage of epi-drugs, however, is genome-wide effects, which may cause unwanted upregulation of, for example, pro-metastatic genes. Development of gene-targeted epigenetic modifications (epigenetic editing) in breast cancer can provide a novel approach to prevent such unwanted events. In this context, identification of crucial epigenetic modifications regulating key genes in breast cancer is of critical importance. In this review, we first describe aberrant DNA methylation and histone modifications as two important classes of epigenetic mutations in breast cancer. Then we focus on the preclinical and clinical epigenetic-based therapies currently being explored for breast cancer. Finally, we describe epigenetic editing as a promising new approach for possible applications towards more targeted breast cancer treatment.

  19. FLT PET in Measuring Treatment Response in Patients With Newly Diagnosed Estrogen Receptor-Positive, HER2-Negative Stage I-III Breast Cancer

    Science.gov (United States)

    2016-06-02

    Estrogen Receptor Positive; HER2/Neu Negative; Male Breast Carcinoma; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  20. Death certification in cancer of the breast.

    OpenAIRE

    1984-01-01

    The cause of death entered on the death certificates of 193 patients originally diagnosed as having cancer of the breast was compared with information obtained from clinical records, cancer registry records, and necropsy findings to determine the accuracy of death certification and the proportion of patients who, though dying from another cause, still had overt signs of cancer of the breast. It was found that the overall error in certifying cause of death as breast cancer was small, being an ...

  1. RECURRENCE PATTERN FOLLOWING BREAST - CONSERVING SURGERY FOR EARLY BREAST CANCER

    Directory of Open Access Journals (Sweden)

    Govindaraj

    2015-08-01

    Full Text Available OBJECTIVE: To study the Local Recurrence and metastasis pattern after Breast - Conserving Surgery for early breast cancer. MATERIALS AND METHODS: From 2010 to 2014 in department of surgery in VIMS Bellary, 70 patients with stage I or II invasive breast carcinoma were treated with breast - conserving surgery, radiation and chemotherapy. In this study we investigated the prognostic value of clinical and pathological factors in early breast cancer patients treated with BCS. All of the surgeries were performed by a single surgical team. Recurrence and its risk factors were evaluated.

  2. Genome-wide Analysis of Gene Regulation

    DEFF Research Database (Denmark)

    Chen, Yun

    cells are capable of regulating their gene expression, so that each cell can only express a particular set of genes yielding limited numbers of proteins with specialized functions. Therefore a rigid control of differential gene expression is necessary for cellular diversity. On the other hand, aberrant...... gene regulation will disrupt the cell’s fundamental processes, which in turn can cause disease. Hence, understanding gene regulation is essential for deciphering the code of life. Along with the development of high throughput sequencing (HTS) technology and the subsequent large-scale data analysis......, genome-wide assays have increased our understanding of gene regulation significantly. This thesis describes the integration and analysis of HTS data across different important aspects of gene regulation. Gene expression can be regulated at different stages when the genetic information is passed from gene...

  3. Coping with a Breast Cancer Diagnosis

    Science.gov (United States)

    ... cancer.org Handling treatment The goal of any breast cancer treatment is to get rid of the cancer and offer the best possible chance of survival. But even the best treatments have side effects. ...

  4. Environmental Factors and Breast Cancer Risk

    Science.gov (United States)

    ... at Stony Brook University found no association between exposure to electromagnetic fields from residential power use and breast cancer risk. 5 National Institute of Environmental Health Sciences Cancer-causing ... to naturally occurring and synthetic cancer, and designing ...

  5. Dietary fat and risk of breast cancer

    Directory of Open Access Journals (Sweden)

    Mathew Aleyamma

    2005-07-01

    Full Text Available Abstract Background Breast cancer is one of the major public health problems among women worldwide. A number of epidemiological studies have been carried out to find the role of dietary fat and the risk of breast cancer. The main objective of the present communication is to summarize the evidence from various case-control and cohort studies on the consumption of fat and its subtypes and their effect on the development of breast cancer. Methods A Pubmed search for literature on the consumption of dietary fat and risk of breast cancer published from January 1990 through December 2003 was carried out. Results Increased consumption of total fat and saturated fat were found to be positively associated with the development of breast cancer. Even though an equivocal association was observed for the consumption of total monounsaturated fatty acids (MUFA and the risk of breast cancer, there exists an inverse association in the case of oleic acid, the most abundant MUFA. A moderate inverse association between consumption of n-3 fatty acids and breast cancer risk and a moderate positive association between n-6 fatty acids and breast cancer risk were observed. Conclusion Even though all epidemiological studies do not provide a strong positive association between the consumption of certain types of dietary fat and breast cancer risk, at least a moderate association does seem to exist and this has a number of implications in view of the fact that breast cancer is an increasing public health concern.

  6. Breast-feeding after breast cancer: if you wish, madam.

    Science.gov (United States)

    Azim, Hatem A; Bellettini, Giulia; Gelber, Shari; Peccatori, Fedro A

    2009-03-01

    Breast cancer is the most common malignant tumor-affecting women during the child bearing period. With the rising trend in delaying pregnancy later in life, the issue of subsequent pregnancy and lactation following breast cancer diagnosis has been more frequently encountered. In this context, data is scarce particularly those addressing the issue of lactation. In this review, we discussed different endocrinal, clinical and biological aspects dealing with breast-feeding after breast cancer in an attempt to determine how safe and feasible this approach is.

  7. Education and Outreach for Breast Imaging and Breast Cancer Patients

    Science.gov (United States)

    2003-07-01

    the project was the development of an educational intervention ( flip chart ) for physicians to use in the clinic setting when discussing breast...Procedure Scheduling on Breast Biopsy Patient Outcomes The first phase of this project is the development of an educational flip chart for...breast biopsy and breast cancer survivors to guide the content of the flip chart b) Develop outline and overall format c) Identify/develop

  8. Breast Cancer Risk in American Women

    Science.gov (United States)

    ... Other Funding Find NCI funding for small business innovation, technology transfer, and contracts Training Cancer Training at ... carry these changes. Mammographic breast density : The glandular (milk-producing) and connective tissue of the breast are ...

  9. Genome-wide mapping of DNA strand breaks.

    Directory of Open Access Journals (Sweden)

    Frédéric Leduc

    Full Text Available Determination of cellular DNA damage has so far been limited to global assessment of genome integrity whereas nucleotide-level mapping has been restricted to specific loci by the use of specific primers. Therefore, only limited DNA sequences can be studied and novel regions of genomic instability can hardly be discovered. Using a well-characterized yeast model, we describe a straightforward strategy to map genome-wide DNA strand breaks without compromising nucleotide-level resolution. This technique, termed "damaged DNA immunoprecipitation" (dDIP, uses immunoprecipitation and the terminal deoxynucleotidyl transferase-mediated dUTP-biotin end-labeling (TUNEL to capture DNA at break sites. When used in combination with microarray or next-generation sequencing technologies, dDIP will allow researchers to map genome-wide DNA strand breaks as well as other types of DNA damage and to establish a clear profiling of altered genes and/or intergenic sequences in various experimental conditions. This mapping technique could find several applications for instance in the study of aging, genotoxic drug screening, cancer, meiosis, radiation and oxidative DNA damage.

  10. A genome-wide association study of aging.

    Science.gov (United States)

    Walter, Stefan; Atzmon, Gil; Demerath, Ellen W; Garcia, Melissa E; Kaplan, Robert C; Kumari, Meena; Lunetta, Kathryn L; Milaneschi, Yuri; Tanaka, Toshiko; Tranah, Gregory J; Völker, Uwe; Yu, Lei; Arnold, Alice; Benjamin, Emelia J; Biffar, Reiner; Buchman, Aron S; Boerwinkle, Eric; Couper, David; De Jager, Philip L; Evans, Denis A; Harris, Tamara B; Hoffmann, Wolfgang; Hofman, Albert; Karasik, David; Kiel, Douglas P; Kocher, Thomas; Kuningas, Maris; Launer, Lenore J; Lohman, Kurt K; Lutsey, Pamela L; Mackenbach, Johan; Marciante, Kristin; Psaty, Bruce M; Reiman, Eric M; Rotter, Jerome I; Seshadri, Sudha; Shardell, Michelle D; Smith, Albert V; van Duijn, Cornelia; Walston, Jeremy; Zillikens, M Carola; Bandinelli, Stefania; Baumeister, Sebastian E; Bennett, David A; Ferrucci, Luigi; Gudnason, Vilmundur; Kivimaki, Mika; Liu, Yongmei; Murabito, Joanne M; Newman, Anne B; Tiemeier, Henning; Franceschini, Nora

    2011-11-01

    Human longevity and healthy aging show moderate heritability (20%-50%). We conducted a meta-analysis of genome-wide association studies from 9 studies from the Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium for 2 outcomes: (1) all-cause mortality, and (2) survival free of major disease or death. No single nucleotide polymorphism (SNP) was a genome-wide significant predictor of either outcome (p < 5 × 10(-8)). We found 14 independent SNPs that predicted risk of death, and 8 SNPs that predicted event-free survival (p < 10(-5)). These SNPs are in or near genes that are highly expressed in the brain (HECW2, HIP1, BIN2, GRIA1), genes involved in neural development and function (KCNQ4, LMO4, GRIA1, NETO1) and autophagy (ATG4C), and genes that are associated with risk of various diseases including cancer and Alzheimer's disease. In addition to considerable overlap between the traits, pathway and network analysis corroborated these findings. These findings indicate that variation in genes involved in neurological processes may be an important factor in regulating aging free of major disease and achieving longevity.

  11. Drug transporters in breast cancer

    DEFF Research Database (Denmark)

    Kümler, Iben; Stenvang, Jan; Moreira, José

    2015-01-01

    Despite the advances that have taken place in the past decade, including the development of novel molecular targeted agents, cytotoxic chemotherapy remains the mainstay of cancer treatment. In breast cancer, anthracyclines and taxanes are the two main chemotherapeutic options used on a routine...... basis. Although effective, their usefulness is limited by the inevitable development of resistance, a lack of response to drug-induced cancer cell death. A large body of research has resulted in the characterization of a plethora of mechanisms involved in resistance; ATP-binding cassette transporter...

  12. Breast and Gynecologic Cancer | Division of Cancer Prevention

    Science.gov (United States)

    [[{"fid":"184","view_mode":"default","fields":{"format":"default","field_file_image_alt_text[und][0][value]":"Breast and Gynecologic Cancer Research Group Homepage Logo","field_file_image_title_text[und][0][value]":"Breast and Gynecologic Cancer Research Group Homepage Logo","field_folder[und]":"15"},"type":"media","attributes":{"alt":"Breast and Gynecologic Cancer Research Group Homepage Logo","title":"Breast and Gynecologic Cancer Research Group Homepage Logo","height":"266","width":"400"," | Prevention and early detection of breast, cervix, endometrial and ovarian cancers and their precursors.

  13. Association of three SNPs in TOX3 and breast cancer risk: Evidence from 97275 cases and 128686 controls.

    Science.gov (United States)

    Zhang, Li; Long, Xinghua

    2015-01-01

    The associations of SNPs in TOX3 gene with breast cancer risk were investigated by some Genome-wide association studies and epidemiological studies, but the study results were contradictory. To derive a more precise estimate of the associations, we conducted a meta-analysis. ORs with 95% CI were used to assess the strength of association between TOX3 polymorphisms and breast cancer risk in fixed or random effect model. A total of 37 publications with 97275 cases and 128686 controls were identified. We observed that the rs3803662 C > T, rs12443621 A > G and rs8051542 C > T were all correlated with increased risk of breast cancer. In the stratified analyses by ethnicity, significantly elevated risk was detected for all genetic models of the three SNPs in Caucasians. In Asian populations, there were significant associations of rs3803662 and rs8051542 with breast cancer risk. Whereas there was no evidence for statistical significant association between the three SNPs and breast cancer risk in Africans. Additionally, we observed different associations of rs3803662 with breast cancer risk based on different ER subtype and BRCA1/BRCA2 mutation carriers. In conclusion, the meta-analysis suggested that three SNPs in TOX3 were significantly associated with breast cancer risk in different populations.

  14. Environmental cadmium and breast cancer risk

    OpenAIRE

    2010-01-01

    Breast cancer is the most prevalent women's cancer, with an age-adjusted incidence of 122.9 per 100,000 US women. Cadmium, a ubiquitous carcinogenic pollutant with multiple biological effects, has been reported to be associated with breast cancer in one US regional case-control study. We examined the association of breast cancer with urinary cadmium (UCd), in a case-control sample of women living on Long Island (LI), NY (100 with breast cancer and 98 without), a region with an especially high...

  15. Breast Cancer Translational Research Center of Excellence

    Science.gov (United States)

    2015-09-01

    the standard of care for treating breast diseases and breast cancer. This approach integrates prevention , screening, diagnosis, treatment and...follow a healthy lifestyle ?” (submitted for publication clearance April 2015). Ellsworth RE, Mamula KA, Costantino NS, Deyarmin B, Kostyniak PJ, Chi...disorders. The project will continue utilizing a multidisciplinary approach as the standard of care for treating breast diseases and breast cancer. This

  16. THE MAMMOGRAPHIC CALCIFICATIONS IN BREAST CANCER

    Institute of Scientific and Technical Information of China (English)

    Tang Ruiying; Liu Jingxian; Gaowen

    1998-01-01

    Objective: This study was performed to exam the relativeship between mammographic calcifications and breast cancer. Methods: All of the 184 patients with breast diseases underwent mammography before either an open biopsy or a mastectomy. The presence,morphology, and distribution of calcifications visualized on mammograms for breast cancer were compared with the controls who remained cancer free. Statistical comparisons were made by using the x2 test. Results:Of the 184 patients with breast diaeases, 93 malignant and 91 benign lesions were histologically confirmed.Calcifications were visualized on mammograms in 60(64%) of 93 breast cancers and 26 (28%) of 91 non breast cancers. The estimated odds ratio (OR) of breast cancer was 4.5 in women with calcifications seen on mammograms, compared with those having none (P<0.01). Of the 60 breast carcinomas having mammographic calcifications, 28 (47%) were infiltrating ductal carcinomas.There were only 8 (24%) cases with infiltrating ductal cancers in the group of without calcifications seen on the mammograms (P<0.05). Conclusion: Our finding suggests that mammographic calcification appears to be a risk factor for breast cancer. The granular and linear cast type calcification provide clues to the presence of breast cancer, especially when the carcinomas without associated masses were seen on mammograms.

  17. Knowing Their Breast Cancer Risk May Empower Teens

    Science.gov (United States)

    ... medlineplus.gov/news/fullstory_161233.html Knowing Their Breast Cancer Risk May Empower Teens Greater self-esteem noted in ... interviewed to assess their mental health, perception of breast cancer risk, and levels of distress about breast cancer. The ...

  18. NIH study confirms risk factors for male breast cancer

    Science.gov (United States)

    Pooled data from studies of about 2,400 men with breast cancer and 52,000 men without breast cancer confirmed that risk factors for male breast cancer include obesity, a rare genetic condition called Klinefelter syndrome, and gynecomastia.

  19. Diagnosis of breast cancer by tissue analysis

    Institute of Scientific and Technical Information of China (English)

    Debnath Bhattacharyya; Samir Kumar Bandyopadhyay; Tai-hoon Kim

    2013-01-01

    In this paper,we propose a technique to locate abnormal growth of cells in breast tissue and suggest further pathological test,when require.We compare normal breast tissue with malignant invasive breast tissue by a series of image processing steps.Normal ductal epithelial cells and ductal/lobular invasive carcinogenic cells also consider for comparison here in this paper.In fact,features of cancerous breast tissue (invasive) are extracted and analyses with normal breast tissue.We also suggest the breast cancer recognition technique through image processing and prevention by controlling p53 gene mutation to some extent.

  20. Breast cancer in Singapore: some perspectives.

    Science.gov (United States)

    Jara-Lazaro, Ana Richelia; Thilagaratnam, Shyamala; Tan, Puay Hoon

    2010-01-01

    Breast cancer is the commonest malignancy among Singapore women, accounting for 29.7% of all female cancers, with an age-standardized rate of 54.9 per 100,000 per year. It has been the most frequent cancer in Singapore women for the last 30 years, with the highest rates previously reported in those aged between 45 and 49 years, but with a more recent observation of a change in peak age group to women in their late 50s. About 1,100 new cases are diagnosed annually and approximately 270 women die in Singapore each year from breast cancer. In the multiethnic population of Singapore, it has been noted that rising breast cancer incidence is consistent across all three ethnic groups (Chinese, Malays, and Indians). Singapore has among the highest breast cancer incidence in Asia. Possible explanations include rapid urbanization, improvement in socio-economic status, and adoption of a western lifestyle. Our experience with the Singapore breast screening pilot project (1994-1997) and the national breast-screening program (BreastScreen Singapore) has led to increased understanding of this disease in the country. Data from the pilot project showed that breast screening is just as effective in a predominantly Asian population as in the west. Early breast cancer accounted for most breast cancers detected, with pre-invasive ductal carcinoma in situ (DCIS) comprising 26% of all screen-detected cancers in the pilot study. In the currently on-going BreastScreen Singapore, DCIS forms >30% of all breast cancers among pre-menopausal women, a relatively high proportion probably accounted for partially by the greater participation of women aged between 40 and 49 years. Despite the ready availability of subsidized mammographic screening, there are still women in Singapore who present with locally advanced breast cancer. Clinical management of an increasing number of women with breast cancer embraces a multidisciplinary team-based approach, with regular discussions of therapeutic

  1. Propranolol and survival from breast cancer

    DEFF Research Database (Denmark)

    Cardwell, Chris R; Pottegård, Anton; Vaes, Evelien;

    2016-01-01

    BACKGROUND: Preclinical studies have demonstrated that propranolol inhibits several pathways involved in breast cancer progression and metastasis. We investigated whether breast cancer patients who used propranolol, or other non-selective beta-blockers, had reduced breast cancer-specific or all......-cause mortality in eight European cohorts. METHODS: Incident breast cancer patients were identified from eight cancer registries and compiled through the European Cancer Pharmacoepidemiology Network. Propranolol and non-selective beta-blocker use was ascertained for each patient. Breast cancer-specific and all......-cause mortality were available for five and eight cohorts, respectively. Cox regression models were used to calculate hazard ratios (HR) and 95% confidence intervals (CIs) for cancer-specific and all-cause mortality by propranolol and non-selective beta-blocker use. HRs were pooled across cohorts using meta...

  2. Educational Counseling in Improving Communication and Quality of Life in Spouses and Breast Cancer Patients

    Science.gov (United States)

    2014-12-29

    Anxiety Disorder; Depression; Ductal Breast Carcinoma in Situ; Lobular Breast Carcinoma in Situ; Psychosocial Effects of Cancer and Its Treatment; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage II Breast Cancer; Stage IIIA Breast Cancer; Stage IIIB Breast Cancer; Stage IIIC Breast Cancer

  3. Environmental cadmium and breast cancer risk.

    Science.gov (United States)

    Gallagher, Carolyn M; Chen, John J; Kovach, John S

    2010-11-01

    Breast cancer is the most prevalent women's cancer, with an age-adjusted incidence of 122.9 per 100,000 US women. Cadmium, a ubiquitous carcinogenic pollutant with multiple biological effects, has been reported to be associated with breast cancer in one US regional case-control study. We examined the association of breast cancer with urinary cadmium (UCd), in a case-control sample of women living on Long Island (LI), NY (100 with breast cancer and 98 without), a region with an especially high rate of breast cancer (142.7 per 100,000 in Suffolk County) and in a representative sample of US women (NHANES 1999-2008, 92 with breast cancer and 2,884 without). In a multivariable logistic model, both samples showed a significant trend for increased odds of breast cancer across increasing UCd quartiles (NHANES, p=0.039 and LI, p=0.023). Compared to those in the lowest quartile, LI women in the highest quartile had increased risk for breast cancer (OR=2.69; 95% CI=1.07, 6.78) and US women in the two highest quartiles had increased risk (OR=2.50; 95% CI=1.11, 5.63 and OR=2.22; 95% CI=.89, 5.52, respectively). Further research is warranted on the impact of environmental cadmium on breast cancer risk in specific populations and on identifying the underlying molecular mechanisms.

  4. Typhoid Vaccine in Testing Response to Immune Stress in Patients With Stage I-IIIA Breast Cancer Who Received Chemotherapy

    Science.gov (United States)

    2016-11-29

    Cognitive Side Effects of Cancer Therapy; Depression; Recurrent Breast Carcinoma; Stage IA Breast Cancer; Stage IB Breast Cancer; Stage IIA Breast Cancer; Stage IIB Breast Cancer; Stage IIIA Breast Cancer

  5. [CHEK2-mutation in Dutch breast cancer families: expanding genetic testing for breast cancer

    NARCIS (Netherlands)

    Adank, M.A.; Hes, F.J.; Zelst-Stams, W.A.G. van; Tol, M.P. van den; Seynaeve, C.; Oosterwijk, J.C.

    2015-01-01

    - In the majority of breast cancer families, DNA testing does not show BRCA1 or BRCA2 mutations and the genetic cause of breast cancer remains unexplained. - Routine testing for the CHEK2*1100delC mutation has recently been introduced in breast cancer families in the Netherlands. - The 1100delC muta

  6. NF-kappaΒ-inducing kinase regulates stem cell phenotype in breast cancer

    Science.gov (United States)

    Vazquez-Santillan, Karla; Melendez-Zajgla, Jorge; Jimenez-Hernandez, Luis Enrique; Gaytan-Cervantes, Javier; Muñoz-Galindo, Laura; Piña-Sanchez, Patricia; Martinez-Ruiz, Gustavo; Torres, Javier; Garcia-Lopez, Patricia; Gonzalez-Torres, Carolina; Ruiz, Victor; Avila-Moreno, Federico; Velasco-Velazquez, Marco; Perez-Tapia, Mayra; Maldonado, Vilma

    2016-01-01

    Breast cancer stem cells (BCSCs) overexpress components of the Nuclear factor-kappa B (NF-κB) signaling cascade and consequently display high NF-κB activity levels. Breast cancer cell lines with high proportion of CSCs exhibit high NF-κB-inducing kinase (NIK) expression. The role of NIK in the phenotype of cancer stem cell regulation is poorly understood. Expression of NIK was analyzed by quantitative RT-PCR in BCSCs. NIK levels were manipulated through transfection of specific shRNAs or an expression vector. The effect of NIK in the cancer stem cell properties was assessed by mammosphere formation, mice xenografts and stem markers expression. BCSCs expressed higher levels of NIK and its inhibition through small hairpin (shRNA), reduced the expression of CSC markers and impaired clonogenicity and tumorigenesis. Genome-wide expression analyses suggested that NIK acts on ERK1/2 pathway to exert its activity. In addition, forced expression of NIK increased the BCSC population and enhanced breast cancer cell tumorigenicity. The in vivo relevance of these results is further supported by a tissue microarray of breast cancer samples in which we observed correlated expression of Aldehyde dehydrogenase (ALDH) and NIK protein. Our results support the essential involvement of NIK in BCSC phenotypic regulation via ERK1/2 and NF-κB. PMID:27876836

  7. Breast cancer heterogeneity: mechanisms, proofs, and implications

    Directory of Open Access Journals (Sweden)

    Yi-Hsuan Hsiao, Ming-Chih Chou, Carol Fowler, Jeffrey T. Mason, Yan-gao Man

    2010-01-01

    Full Text Available Human breast cancer represents a group of highly heterogeneous lesions consisting of about 20 morphologically distinct subtypes with substantially different molecular and/or biochemical signatures, clinical courses, and prognoses. This study analyzed the possible correlation between the morphological presentations of breast cancer and two hypothesized models of carcinogenesis, in order to identify the intrinsic mechanism(s and clinical implications of breast cancer heterogeneity.

  8. The p53 pathway in breast cancer

    OpenAIRE

    Gasco, Milena; Shami, Shukri; Crook, Tim

    2002-01-01

    p53 mutation remains the most common genetic change identified in human neoplasia. In breast cancer, p53 mutation is associated with more aggressive disease and worse overall survival. The frequency of mutation in p53 is, however, lower in breast cancer than in other solid tumours. Changes, both genetic and epigenetic, have been identified in regulators of p53 activity and in some downstream transcriptional targets of p53 in breast cancers that express wild-type p53. Molecular pathological an...

  9. Breast Cancer: Catch It with Ultrasound

    Science.gov (United States)

    2011-09-01

    Heintz, Ph.D. Department of Radiology, University of New Mexico School of Medicine, Albuquerque, NM e-mail: MWilliamson@salud.unm.edu Breast cancer ...AD_________________ Award Number: W81XWH-10-1-0566 TITLE: Breast Cancer : Catch It with Ultrasound...CONTRACT NUMBER Breast Cancer : Catch It with Ultrasound 5b. GRANT NUMBER W81XWH-10-1-0566 5c. PROGRAM ELEMENT NUMBER 6. AUTHOR(S) 5d. PROJECT

  10. Targeting ESR1-Mutant Breast Cancer

    Science.gov (United States)

    2015-09-01

    AWARD NUMBER: W81XWH-14-1-0359 TITLE: Targeting ESR1-Mutant Breast Cancer PRINCIPAL INVESTIGATOR: Dr. Sarat Chandarlapaty CONTRACTING...31 Aug 2015 4. TITLE AND SUBTITLE Targeting ESR1-Mutant Breast Cancer 5a. CONTRACT NUMBER 5b. GRANT NUMBER W81XWH-14-1-0359 5c. PROGRAM ELEMENT...mutations found in breast cancer using both structural and cell based assays. We have now have evidence for the effects of the most recurrent

  11. Association Between a Germline OCA2 Polymorphism at Chromosome 15q13.1 and Estrogen Receptor-Negative Breast Cancer Survival

    DEFF Research Database (Denmark)

    Azzato, E.M.; Tyrer, J.; Fasching, P.A.

    2010-01-01

    Traditional prognostic factors for survival and treatment response of patients with breast cancer do not fully account for observed survival variation. We used available genotype data from a previously conducted two-stage, breast cancer susceptibility genome-wide association study (ie, Studies...... of Epidemiology and Risk factors in Cancer Heredity [SEARCH]) to investigate associations between variation in germline DNA and overall survival. We evaluated possible associations between overall survival after a breast cancer diagnosis and 10 621 germline single-nucleotide polymorphisms (SNPs) from up to 3761...... patients with invasive breast cancer (including 647 deaths and 26 978 person-years at risk) that were genotyped previously in the SEARCH study with high-density oligonucleotide microarrays (ie, hypothesis-generating set). Associations with all-cause mortality were assessed for each SNP by use of Cox...

  12. Knowledge towards breast cancer among Libyan women in Tripoli

    Directory of Open Access Journals (Sweden)

    Yousef A Taher

    2016-11-01

    Conclusion: Our findings demonstrate that Libyan women have acceptable level of knowledge regarding breast cancer. However, improvement of the health systems and awareness regarding breast cancer is needed.

  13. Genome-wide mapping of Polycomb target genes unravels their roles in cell fate transitions

    DEFF Research Database (Denmark)

    Bracken, Adrian P; Dietrich, Nikolaj; Pasini, Diego;

    2006-01-01

    The Polycomb group (PcG) proteins form chromatin-modifying complexes that are essential for embryonic development and stem cell renewal and are commonly deregulated in cancer. Here, we identify their target genes using genome-wide location analysis in human embryonic fibroblasts. We find that Pol......The Polycomb group (PcG) proteins form chromatin-modifying complexes that are essential for embryonic development and stem cell renewal and are commonly deregulated in cancer. Here, we identify their target genes using genome-wide location analysis in human embryonic fibroblasts. We find...

  14. Genome-wide analysis correlates Ayurveda Prakriti.

    Science.gov (United States)

    Govindaraj, Periyasamy; Nizamuddin, Sheikh; Sharath, Anugula; Jyothi, Vuskamalla; Rotti, Harish; Raval, Ritu; Nayak, Jayakrishna; Bhat, Balakrishna K; Prasanna, B V; Shintre, Pooja; Sule, Mayura; Joshi, Kalpana S; Dedge, Amrish P; Bharadwaj, Ramachandra; Gangadharan, G G; Nair, Sreekumaran; Gopinath, Puthiya M; Patwardhan, Bhushan; Kondaiah, Paturu; Satyamoorthy, Kapaettu; Valiathan, Marthanda Varma Sankaran; Thangaraj, Kumarasamy

    2015-10-29

    The practice of Ayurveda, the traditional medicine of India, is based on the concept of three major constitutional types (Vata, Pitta and Kapha) defined as "Prakriti". To the best of our knowledge, no study has convincingly correlated genomic variations with the classification of Prakriti. In the present study, we performed genome-wide SNP (single nucleotide polymorphism) analysis (Affymetrix, 6.0) of 262 well-classified male individuals (after screening 3416 subjects) belonging to three Prakritis. We found 52 SNPs (p ≤ 1 × 10(-5)) were significantly different between Prakritis, without any confounding effect of stratification, after 10(6) permutations. Principal component analysis (PCA) of these SNPs classified 262 individuals into their respective groups (Vata, Pitta and Kapha) irrespective of their ancestry, which represent its power in categorization. We further validated our finding with 297 Indian population samples with known ancestry. Subsequently, we found that PGM1 correlates with phenotype of Pitta as described in the ancient text of Caraka Samhita, suggesting that the phenotypic classification of India's traditional medicine has a genetic basis; and its Prakriti-based practice in vogue for many centuries resonates with personalized medicine.

  15. The lipid peroxidation in breast cancer patients.

    Science.gov (United States)

    Kedzierska, Magdalena; Olas, Beata; Wachowicz, Barbara; Jeziorski, Arkadiusz; Piekarski, Janusz

    2010-06-01

    The aim of our study was to estimate oxidative stress (by using different biomarkers of lipid peroxidation--isoprostanes and thiobarbituric acid reactive substances (TBARS)) in patients with invasive breast cancer, patients with benign breast diseases and in a control group. We observed a statistically increased level of TBARS in plasma and isoprostanes in urine of patients with invasive breast cancer in comparison with a control group. The concentration of tested biomarkers in plasma or urine from patients with invasive breast cancer was also higher than in patients with benign breast diseases. Moreover, the levels of tested markers in patients with benign breast diseases and in a control group did not differ. Considering the data presented in this study, we suggest that free radicals induce peroxidation of unsaturated fatty acid in patients with breast cancer.

  16. Diazepam use and progression of breast cancer.

    Science.gov (United States)

    Kleinerman, R A; Brinton, L A; Hoover, R; Fraumeni, J F

    1984-03-01

    The relationship between diazepam and breast cancer was evaluated using data from a case-control study of breast cancer, in which 1075 cases and 1146 controls who were participants in a breast cancer screening program were interviewed. Diazepam use was negatively associated with extent of disease and lymph node involvement, and this effect seemed greatest for long-term users of diazepam. It is not certain to what extent these data reflect an ascertainment bias, an association with the reasons for which the drug was prescribed, or chance. Whatever the explanation, the findings do not support a previous contention that diazepam promotes or accelerates breast cancer growth.

  17. Rare ATAD5 missense variants in breast and ovarian cancer patients.

    Science.gov (United States)

    Maleva Kostovska, Ivana; Wang, Jing; Bogdanova, Natalia; Schürmann, Peter; Bhuju, Sabin; Geffers, Robert; Dürst, Matthias; Liebrich, Clemens; Klapdor, Rüdiger; Christiansen, Hans; Park-Simon, Tjoung-Won; Hillemanns, Peter; Plaseska-Karanfilska, Dijana; Dörk, Thilo

    2016-06-28

    ATAD5/ELG1 is a protein crucially involved in replication and maintenance of genome stability. ATAD5 has recently been identified as a genomic risk locus for both breast and ovarian cancer through genome-wide association studies. We aimed to investigate the spectrum of coding ATAD5 germ-line mutations in hospital-based series of patients with triple-negative breast cancer or serous ovarian cancer compared with healthy controls. The ATAD5 coding and adjacent splice site regions were analyzed by targeted next-generation sequencing of DNA samples from 273 cancer patients, including 114 patients with triple-negative breast cancer and 159 patients with serous epithelial ovarian cancer, and from 276 healthy females. Among 42 different variants identified, twenty-two were rare missense substitutions, of which 14 were classified as pathogenic by at least one in silico prediction tool. Three of four novel missense substitutions (p.S354I, p.H974R and p.K1466N) were predicted to be pathogenic and were all identified in ovarian cancer patients. Overall, rare missense variants with predicted pathogenicity tended to be enriched in ovarian cancer patients (14/159) versus controls (11/276) (p = 0.05, 2df). While truncating germ-line variants in ATAD5 were not detected, it remains possible that several rare missense variants contribute to genetic susceptibility toward epithelial ovarian carcinomas.

  18. Genome-wide association study of serum selenium concentrations

    DEFF Research Database (Denmark)

    Gong, Jian; Hsu, Li; Harrison, Tabitha

    2013-01-01

    Selenium is an essential trace element and circulating selenium concentrations have been associated with a wide range of diseases. Candidate gene studies suggest that circulating selenium concentrations may be impacted by genetic variation; however, no study has comprehensively investigated...... this hypothesis. Therefore, we conducted a two-stage genome-wide association study to identify genetic variants associated with serum selenium concentrations in 1203 European descents from two cohorts: the Prostate, Lung, Colorectal, and Ovarian (PLCO) Cancer Screening and the Women’s Health Initiative (WHI). We...... tested association between 2,474,333 single nucleotide polymorphisms (SNPs) and serum selenium concentrations using linear regression models. In the first stage (PLCO) 41 SNPs clustered in 15 regions had p

  19. DNA Break Mapping Reveals Topoisomerase II Activity Genome-Wide

    Directory of Open Access Journals (Sweden)

    Laura Baranello

    2014-07-01

    Full Text Available Genomic DNA is under constant assault by endogenous and exogenous DNA damaging agents. DNA breakage can represent a major threat to genome integrity but can also be necessary for genome function. Here we present approaches to map DNA double-strand breaks (DSBs and single-strand breaks (SSBs at the genome-wide scale by two methods called DSB- and SSB-Seq, respectively. We tested these methods in human colon cancer cells and validated the results using the Topoisomerase II (Top2-poisoning agent etoposide (ETO. Our results show that the combination of ETO treatment with break-mapping techniques is a powerful method to elaborate the pattern of Top2 enzymatic activity across the genome.

  20. Breast Cancer Screening and Prevention.

    Science.gov (United States)

    Nattinger, Ann B; Mitchell, Julie L

    2016-06-07

    This issue provides a clinical overview of breast cancer screening and prevention, focusing on risk assessment, screening, prevention, and practice improvement. The content of In the Clinic is drawn from the clinical information and education resources of the American College of Physicians (ACP), including MKSAP (Medical Knowledge and Self-Assessment Program). Annals of Internal Medicine editors develop In the Clinic in collaboration with the ACP's Medical Education and Publishing divisions and with the assistance of additional science writers and physician writers.