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  1. The Rare Cancer Network: ongoing studies and future strategy

    Directory of Open Access Journals (Sweden)

    Mahmut Ozsahin

    2014-08-01

    Full Text Available The Rare Cancer Network (RCN was formed in the early 1990’s to create a global network that could pool knowledge and resources in the studies of rare malignancies whose infrequency prevented both their study with prospective clinical trials. To date, the RCN has initiated 74 studies resulting in 46 peer reviewed publications. The First International Symposium of the Rare Cancer Network took place in Nice in March of 2014. Status updates and proposals for new studies were heard for fifteen topics. Ongoing studies continue for cardiac sarcomas, thyroid cancers, glomus tumors, and adult medulloblastomas. New proposals were presented at the symposium for primary hepatic lymphoma, solitary fibrous tumors, Rosai-Dorfman disease, tumors of the ampulla of Vater, salivary gland tumors, anorectal melanoma, midline nuclear protein in testes carcinoma, pulmonary lymphoepithelioma-like carcinoma, adenoid cystic carcinoma of the trachea, osteosarcomas of the mandible, and extra-cranial hemangiopericytoma. This manuscript presents the abstracts of those proposals and updates on ongoing studies, as well a brief summary of the vision and future of the RCN.

  2. Bladder Cancer Advocacy Network

    Science.gov (United States)

    ... future bladder cancer research through the Patient Survey Network. Read More... Don’t Miss the 2016 BCAN ... Click here for more details Bladder Cancer Advocacy Network 4915 St. Elmo Avenue, Suite 202 Bethesda, Maryland ...

  3. Palliative treatment of Erdheim-Chester disease with radiotherapy: A Rare Cancer Network study

    International Nuclear Information System (INIS)

    A retrospective study of the use of palliative external beam radiotherapy (EBRT) in nine patients with Erdheim-Chester disease was conducted through the Rare Cancer Network. Patients received EBRT for bone pain, brain infiltration, or retro-orbital involvement. EBRT typically provided short-term palliation, with later recurrence of symptoms in most cases

  4. Bayesian neural networks for bivariate binary data: an application to prostate cancer study.

    Science.gov (United States)

    Chakraborty, Sounak; Ghosh, Malay; Maiti, Tapabrata; Tewari, Ashutosh

    2005-12-15

    Prostate cancer is one of the most common cancers in American men. The cancer could either be locally confined, or it could spread outside the organ. When locally confined, there are several options for treating and curing this disease. Otherwise, surgery is the only option, and in extreme cases of outside spread, it could very easily recur within a short time even after surgery and subsequent radiation therapy. Hence, it is important to know, based on pre-surgery biopsy results how likely the cancer is organ-confined or not. The paper considers a hierarchical Bayesian neural network approach for posterior prediction probabilities of certain features indicative of non-organ confined prostate cancer. In particular, we find such probabilities for margin positivity (MP) and seminal vesicle (SV) positivity jointly. The available training set consists of bivariate binary outcomes indicating the presence or absence of the two. In addition, we have certain covariates such as prostate specific antigen (PSA), gleason score and the indicator for the cancer to be unilateral or bilateral (i.e. spread on one or both sides) in one data set and gene expression microarrays in another data set. We take a hierarchical Bayesian neural network approach to find the posterior prediction probabilities for a test and validation set, and compare these with the actual outcomes for the first data set. In case of the microarray data we use leave one out cross-validation to access the accuracy of our method. We also demonstrate the superiority of our method to the other competing methods through a simulation study. The Bayesian procedure is implemented by an application of the Markov chain Monte Carlo numerical integration technique. For the problem at hand, our Bayesian bivariate neural network procedure is shown to be superior to the classical neural network, Radford Neal's Bayesian neural network as well as bivariate logistic models to predict jointly the MP and SV in a patient in both the

  5. Artificial neural network in studying factors of hepatic cancer recurrence after hepatectomy

    Institute of Scientific and Technical Information of China (English)

    HE Jia; HE Xian-min; ZHANG Zhi-jian

    2002-01-01

    Objective: To explore the affecting factors of liver cancer recurrence after hepatectomy. Methods:The BP artificial neural network - Cox regression was introduced to analyze the factors of recurrence in1 457 patients. Results: The affecting factors statistically significant to liver cancer prognosis was selected.There were 18 factors to be selected by uni-factor analysis, and 9 factors to be selected by multi-factor analysis. Conclusion: The 9 factors selected can be used as important indexes to evaluate the recurrence of liver cancer after hepatectomy. The artificial neural network is a better method to analyze the clinical data, which provides scientific and objective data for evaluating prognosis of liver cancer.

  6. Lifestyle Behaviors of African American Breast Cancer Survivors: A Sisters Network, Inc. Study

    OpenAIRE

    Paxton, Raheem J.; Wendell C Taylor; Shine Chang; Courneya, Kerry S.; Jones, Lovell A.

    2013-01-01

    INTRODUCTION: African American breast cancer survivors experience poor cancer outcomes that may, in part, be remedied by healthy lifestyle choices. Few studies have evaluated the health and lifestyle behaviors of this population. The purpose of this study was to characterize the health and lifestyle habits of African American breast cancer survivors and evaluate the socio-demographic and medical correlates of these behaviors. METHODS: A total of 470 African American breast cancer survivors (m...

  7. Management of Adenoid Cystic Carcinoma of the Breast: A Rare Cancer Network Study

    Energy Technology Data Exchange (ETDEWEB)

    Khanfir, Kaouthar, E-mail: kaouthar.khanfir@rsv-gnw.ch [Hopital de Sion, CHCVs, Sion (Switzerland); Kallel, Adel [Institut Gustave Roussy, Villejuif (France); Villette, Sylviane [Centre Rene Huguenin, Paris (France); Belkacemi, Yazid [CHU Henri Mondor, Centre Oscar Lambret, Lille (France); Vautravers, Claire [Centre George Francois Leclerc, Dijon (France); Nguyen, TanDat [Institut Jean Gaudinot, Reims (France); Miller, Robert [Mayo Clinic, Rochester, Minnesota (United States); Li Yexiong [Peking Union Medical College, Beijing (China); Taghian, Alphonse G. [Massachusetts General Hospital, Boston, Massachusetts (United States); Boersma, Liesbeth [Maastricht University Medical Center (MAASTRO clinic), Maastricht (Netherlands); Poortmans, Philip [Dr. Bernard Verbeeten Institute, Tilburg (Netherlands); Goldberg, Hadassah [Western Galilee Hospital-Nahariya, Nahariya (Israel); Vees, Hansjorg [Hopitaux Universitaires de Geneve, Geneva (Switzerland); Senkus, Elzbieta [Medical University of Gdansk, Gdansk (Poland); Igdem, Sefik; Ozsahin, Mahmut [Istanbul Bilim University, Istanbul (Turkey); Jeanneret Sozzi, Wendy [Centre Hospitalier Universitaire Vaudois, Lausanne (Switzerland)

    2012-04-01

    Background: Mammary adenoid cystic carcinoma (ACC) is a rare breast cancer. The aim of this retrospective study was to assess prognostic factors and patterns of failure, as well as the role of radiation therapy (RT), in ACC. Methods: Between January 1980 and December 2007, 61 women with breast ACC were treated at participating centers of the Rare Cancer Network. Surgery consisted of lumpectomy in 41 patients and mastectomy in 20 patients. There were 51(84%) stage pN0 and 10 stage cN0 (16%) patients. Postoperative RT was administered to 40 patients (35 after lumpectomy, 5 after mastectomy). Results: With a median follow-up of 79 months (range, 6-285), 5-year overall and disease-free survival rates were 94% (95% confidence interval [CI], 88%-100%) and 82% (95% CI, 71%-93%), respectively. The 5-year locoregional control (LRC) rate was 95% (95% CI, 89%-100%). Axillary lymph node dissection or sentinel node biopsy was performed in 84% of cases. All patients had stage pN0 disease. In univariate analysis, survival was not influenced by the type of surgery or the use of postoperative RT. The 5-year LRC rate was 100% in the mastectomy group versus 93% (95% CI, 83%-100%) in the breast-conserving surgery group, respectively (p = 0.16). For the breast-conserving surgery group, the use of RT significantly correlated with LRC (p = 0.03); the 5-year LRC rates were 95% (95% CI, 86%-100%) for the RT group versus 83% (95% CI, 54%-100%) for the group receiving no RT. No local failures occurred in patients with positive margins, all of whom received postoperative RT. Conclusion: Breast-conserving surgery is the treatment of choice for patients with ACC breast cancer. Axillary lymph node dissection or sentinel node biopsy might not be recommended. Postoperative RT should be proposed in the case of breast-conserving surgery.

  8. Management of Adenoid Cystic Carcinoma of the Breast: A Rare Cancer Network Study

    International Nuclear Information System (INIS)

    Background: Mammary adenoid cystic carcinoma (ACC) is a rare breast cancer. The aim of this retrospective study was to assess prognostic factors and patterns of failure, as well as the role of radiation therapy (RT), in ACC. Methods: Between January 1980 and December 2007, 61 women with breast ACC were treated at participating centers of the Rare Cancer Network. Surgery consisted of lumpectomy in 41 patients and mastectomy in 20 patients. There were 51(84%) stage pN0 and 10 stage cN0 (16%) patients. Postoperative RT was administered to 40 patients (35 after lumpectomy, 5 after mastectomy). Results: With a median follow-up of 79 months (range, 6–285), 5-year overall and disease-free survival rates were 94% (95% confidence interval [CI], 88%–100%) and 82% (95% CI, 71%–93%), respectively. The 5-year locoregional control (LRC) rate was 95% (95% CI, 89%–100%). Axillary lymph node dissection or sentinel node biopsy was performed in 84% of cases. All patients had stage pN0 disease. In univariate analysis, survival was not influenced by the type of surgery or the use of postoperative RT. The 5-year LRC rate was 100% in the mastectomy group versus 93% (95% CI, 83%–100%) in the breast-conserving surgery group, respectively (p = 0.16). For the breast-conserving surgery group, the use of RT significantly correlated with LRC (p = 0.03); the 5-year LRC rates were 95% (95% CI, 86%–100%) for the RT group versus 83% (95% CI, 54%–100%) for the group receiving no RT. No local failures occurred in patients with positive margins, all of whom received postoperative RT. Conclusion: Breast-conserving surgery is the treatment of choice for patients with ACC breast cancer. Axillary lymph node dissection or sentinel node biopsy might not be recommended. Postoperative RT should be proposed in the case of breast-conserving surgery.

  9. Early-Stage Primary Bone Lymphoma: A Retrospective, Multicenter Rare Cancer Network (RCN) Study

    International Nuclear Information System (INIS)

    Purpose: Primary bone lymphoma (PBL) represents less than 1% of all malignant lymphomas. In this study, we assessed the disease profile, outcome, and prognostic factors in patients with Stages I and II PBL. Patients and Methods: Thirteen Rare Cancer Network (RCN) institutions enrolled 116 consecutive patients with PBL treated between 1987 and 2008 in this study. Eighty-seven patients underwent chemoradiotherapy (CXRT) without (78) or with (9) surgery, 15 radiotherapy (RT) without (13) or with (2) surgery, and 14 chemotherapy (CXT) without (9) or with (5) surgery. Median RT dose was 40 Gy (range, 4–60). The median number of CXT cycles was six (range, 2–8). Median follow-up was 41 months (range, 6–242). Results: The overall response rate at the end of treatment was 91% (complete response [CR] 74%, partial response [PR] 17%). Local recurrence or progression was observed in 12 (10%) patients and systemic recurrence in 17 (15%). The 5-year overall survival (OS), lymphoma-specific survival (LSS), and local control (LC) were 76%, 78%, and 92%, respectively. In univariate analyses (log–rank test), favorable prognostic factors for OS and LSS were International Prognostic Index (IPI) score ≤1 (p = 0.009), high-grade histology (p = 0.04), CXRT (p = 0.05), CXT (p = 0.0004), CR (p 40 Gy (p = 0.005). For LC, only CR and Stage I were favorable factors. In multivariate analysis, IPI score, RT dose, CR, and CXT were independently influencing the outcome (OS and LSS). CR was the only predicting factor for LC. Conclusion: This large multicenter retrospective study confirms the good prognosis of early-stage PBL treated with combined CXRT. An adequate dose of RT and complete CXT regime were associated with better outcome.

  10. Early-Stage Primary Bone Lymphoma: A Retrospective, Multicenter Rare Cancer Network (RCN) Study

    Energy Technology Data Exchange (ETDEWEB)

    Cai Ling [Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, VD (Switzerland); Sun Yat-sen University Cancer Center, Guangzhou, Guangdong (China); Stauder, Michael C. [Mayo Clinic, Rochester, MN (United States); Zhang Yujing [Sun Yat-sen University Cancer Center, Guangzhou, Guangdong (China); Poortmans, Philip [Verbeeten Institute, Tilburg (Netherlands); Li Yexiong [Cancer Hospital, Chinese Academy of Medical Sciences, Beijing (China); Constantinou, Nicolaos [Theagenio Cancer Hospital, Thessaloniki, Macedonia (Greece); Thariat, Juliette [Centre Anti-Cancereux Antoine-Lacassagne, Nice, Cote d' Azur (France); Kadish, Sidney P. [University of Massachusetts Medical School, Worcester, MA (United States); Nguyen, Tan Dat [Institut Jean-Godinot, Reims, Champagne-Ardenne (France); Kirova, Youlia M. [Institut Curie, Paris (France); Ghadjar, Pirus [Inselspital, Bern University Hospital, and University of Bern (Switzerland); Weber, Damien C. [Hopitaux Universitaires de Geneve (Switzerland); Bertran, Victoria Tuset [Hospital Universitari Germans Trias i Pujol, Barcelona (Spain); Ozsahin, Mahmut [Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, VD (Switzerland); Mirimanoff, Rene-Olivier, E-mail: Rene-Olivier.Mirimanoff@chuv.ch [Centre Hospitalier Universitaire Vaudois (CHUV), Lausanne, VD (Switzerland)

    2012-05-01

    Purpose: Primary bone lymphoma (PBL) represents less than 1% of all malignant lymphomas. In this study, we assessed the disease profile, outcome, and prognostic factors in patients with Stages I and II PBL. Patients and Methods: Thirteen Rare Cancer Network (RCN) institutions enrolled 116 consecutive patients with PBL treated between 1987 and 2008 in this study. Eighty-seven patients underwent chemoradiotherapy (CXRT) without (78) or with (9) surgery, 15 radiotherapy (RT) without (13) or with (2) surgery, and 14 chemotherapy (CXT) without (9) or with (5) surgery. Median RT dose was 40 Gy (range, 4-60). The median number of CXT cycles was six (range, 2-8). Median follow-up was 41 months (range, 6-242). Results: The overall response rate at the end of treatment was 91% (complete response [CR] 74%, partial response [PR] 17%). Local recurrence or progression was observed in 12 (10%) patients and systemic recurrence in 17 (15%). The 5-year overall survival (OS), lymphoma-specific survival (LSS), and local control (LC) were 76%, 78%, and 92%, respectively. In univariate analyses (log-rank test), favorable prognostic factors for OS and LSS were International Prognostic Index (IPI) score {<=}1 (p = 0.009), high-grade histology (p = 0.04), CXRT (p = 0.05), CXT (p = 0.0004), CR (p < 0.0001), and RT dose >40 Gy (p = 0.005). For LC, only CR and Stage I were favorable factors. In multivariate analysis, IPI score, RT dose, CR, and CXT were independently influencing the outcome (OS and LSS). CR was the only predicting factor for LC. Conclusion: This large multicenter retrospective study confirms the good prognosis of early-stage PBL treated with combined CXRT. An adequate dose of RT and complete CXT regime were associated with better outcome.

  11. Outcome and Prognostic Factors in Endometrial Stromal Tumors: A Rare Cancer Network Study

    International Nuclear Information System (INIS)

    Purpose: To provide further understanding regarding outcome and prognostic factors of endometrial stromal tumors (EST). Methods and Materials: A retrospective analysis was performed on the records of 59 women diagnosed with EST and treated with curative intent between 1983 and 2007 in the framework of the Rare Cancer Network. Results: Endometrial stromal sarcomas (ESS) were found in 44% and undifferentiated ESS (UES) in 49% of the cases. In 7% the grading was unclear. Of the total number of patients, 33 had Stage I, 4 Stage II, 20 Stage III, and 1 presented with Stage IVB disease. Adjuvant chemotherapy was administered to 12 patients, all with UES. External-beam radiotherapy (RT) was administered postoperatively to 48 women. The median follow-up was 41.4 months. The 5-year overall survival (OS) rate was 96.2% and 64.8% for ESS and UES, respectively, with a corresponding 5-year disease-free survival (DFS) rate of 49.4% and 43.4%, respectively. On multivariate analysis, adjuvant RT was an independent prognostic factor for OS (p = 0.007) and DFS (p = 0.013). Locoregional control, DFS, and OS were significantly associated with age (≤60 vs. >60 years), grade (ESS vs. UES), and International Federation of Gynecology and Obstetrics stage (I–II vs. III–IV). Positive lymph node staging had an impact on OS (p < 0.001). Conclusion: The prognosis of ESS differed from that of UES. Endometrial stromal sarcomas had an excellent 5-year OS, whereas the OS in UES was rather low. However, half of ESS patients had a relapse. For this reason, adjuvant treatment such as RT should be considered even in low-grade tumors. Multicenter randomized studies are still warranted to establish clear guidelines.

  12. Outcome and patterns of failure in testicular lymphoma: a multicenter rare cancer network study

    International Nuclear Information System (INIS)

    Purpose: To assess the outcome and patterns of failure in patients with testicular lymphoma treated by chemotherapy (CT) and/or radiation therapy (RT). Methods and Materials: Data from a series of 36 adult patients with Ann Arbor Stage I (n=21), II (n=9), III (n=3), or IV (n=3) primary testicular lymphoma, consecutively treated between 1980 and 1999, were collected in a retrospective multicenter study by the Rare Cancer Network. Median age was 64 years (range: 21-91 years). Full staging workup (chest X-ray, testicular ultrasound, abdominal ultrasound, and/or thoracoabdominal computer tomography, bone marrow assessment, full blood count, lactate dehydrogenase, and cerebrospinal fluid evaluation) was completed in 18 (50%) patients. All but one patient underwent orchidectomy, and spermatic cord infiltration was found in 9 patients. Most patients (n=29) had CT, consisting in most cases of cyclophosphamide, doxorubicin, vincristine, and prednisolone (CHOP) with (n=17) or without intrathecal CT. External RT was delivered to scrotum alone (n=12) or testicular, iliac, and para-aortic regions (n=8). The median RT dose was 31 Gy (range: 20-44 Gy) in a median of 17 fractions (10-24), using a median of 1.8 Gy (range: 1.5-2.5 Gy) per fraction. The median follow-up period was 42 months (range: 6-138 months). Results: After a median period of 11 months (range: 1-76 months), 14 patients presented lymphoma progression, mostly in the central nervous system (CNS) (n=8). Among the 17 patients who received intrathecal CT, 4 had a CNS relapse (p=NS). No testicular, iliac, or para-aortic relapse was observed in patients receiving RT to these regions. The 5-year overall, lymphoma-specific, and disease-free survival was 47%, 66%, and 43%, respectively. In univariate analyses, statistically significant factors favorably influencing the outcome were early-stage and combined modality treatment. Neither RT technique nor total dose influenced the outcome. Multivariate analysis revealed that the

  13. Graph Curvature for Differentiating Cancer Networks

    Science.gov (United States)

    Sandhu, Romeil; Georgiou, Tryphon; Reznik, Ed; Zhu, Liangjia; Kolesov, Ivan; Senbabaoglu, Yasin; Tannenbaum, Allen

    2015-07-01

    Cellular interactions can be modeled as complex dynamical systems represented by weighted graphs. The functionality of such networks, including measures of robustness, reliability, performance, and efficiency, are intrinsically tied to the topology and geometry of the underlying graph. Utilizing recently proposed geometric notions of curvature on weighted graphs, we investigate the features of gene co-expression networks derived from large-scale genomic studies of cancer. We find that the curvature of these networks reliably distinguishes between cancer and normal samples, with cancer networks exhibiting higher curvature than their normal counterparts. We establish a quantitative relationship between our findings and prior investigations of network entropy. Furthermore, we demonstrate how our approach yields additional, non-trivial pair-wise (i.e. gene-gene) interactions which may be disrupted in cancer samples. The mathematical formulation of our approach yields an exact solution to calculating pair-wise changes in curvature which was computationally infeasible using prior methods. As such, our findings lay the foundation for an analytical approach to studying complex biological networks.

  14. Graph Curvature for Differentiating Cancer Networks

    Science.gov (United States)

    Sandhu, Romeil; Georgiou, Tryphon; Reznik, Ed; Zhu, Liangjia; Kolesov, Ivan; Senbabaoglu, Yasin; Tannenbaum, Allen

    2015-01-01

    Cellular interactions can be modeled as complex dynamical systems represented by weighted graphs. The functionality of such networks, including measures of robustness, reliability, performance, and efficiency, are intrinsically tied to the topology and geometry of the underlying graph. Utilizing recently proposed geometric notions of curvature on weighted graphs, we investigate the features of gene co-expression networks derived from large-scale genomic studies of cancer. We find that the curvature of these networks reliably distinguishes between cancer and normal samples, with cancer networks exhibiting higher curvature than their normal counterparts. We establish a quantitative relationship between our findings and prior investigations of network entropy. Furthermore, we demonstrate how our approach yields additional, non-trivial pair-wise (i.e. gene-gene) interactions which may be disrupted in cancer samples. The mathematical formulation of our approach yields an exact solution to calculating pair-wise changes in curvature which was computationally infeasible using prior methods. As such, our findings lay the foundation for an analytical approach to studying complex biological networks. PMID:26169480

  15. Lifestyle behaviors of African American breast cancer survivors: a Sisters Network, Inc. study.

    Directory of Open Access Journals (Sweden)

    Raheem J Paxton

    Full Text Available INTRODUCTION: African American breast cancer survivors experience poor cancer outcomes that may, in part, be remedied by healthy lifestyle choices. Few studies have evaluated the health and lifestyle behaviors of this population. The purpose of this study was to characterize the health and lifestyle habits of African American breast cancer survivors and evaluate the socio-demographic and medical correlates of these behaviors. METHODS: A total of 470 African American breast cancer survivors (mean age = 54 years participated in an online survey. All participants completed measures assessing medical and demographic characteristics, physical activity, and sedentary behavior. Chi-square tests for association, nonparametric tests, and logistic regression models were used to assess associations. All statistical tests were two sided. RESULTS: Almost half (47% of the women met the current guidelines for physical activity, almost half (47% were obese, and many reported having high blood pressure (53% or diabetes (21%. The prevalence of high blood pressure, diabetes, and high cholesterol increased by age (P<0.001, and obese women had a higher prevalence of high blood pressure (63% vs. 44% and diabetes (21% vs. 12% than did non-obese women (all P<0.05. Obese women participated in significantly fewer total minutes of physical activity per week (100 minutes/week than did non-obese women (150 minutes/week; P<0.05. The number of comorbid conditions was associated with increased odds for physical inactivity (odds ratio = 1.40 and obesity (odds ratio = 2.22. CONCLUSION: Many African American breast cancer survivors had chronic conditions that may be exacerbated by poor lifestyle choices. Our results also provide evidence that healthy lifestyle interventions among obese African American breast cancer survivors are urgently needed.

  16. Access to Cancer Screening in People with Learning Disabilities in the UK: Cohort Study in the Health Improvement Network, a Primary Care Research Database

    OpenAIRE

    Osborn, D. P.; Horsfall, L.; Hassiotis, A.; Petersen, I.; Walters, K; Nazareth, I

    2012-01-01

    Objectives To assess whether people with learning disability in the UK have poorer access to cancer screening. Design Four cohort studies comparing people with and without learning disability, within the recommended age ranges for cancer screening in the UK. We used Poisson regression to determine relative incidence rates of cancer screening. Setting The Health Improvement Network, a UK primary care database with over 450 General practices. Participants Individuals with a...

  17. Primary spinal epidural lymphoma: Patients' profile, outcome, and prognostic factors: A multicenter Rare Cancer Network study

    International Nuclear Information System (INIS)

    Purpose To assess the clinical profile, treatment outcome, and prognostic factors in primary spinal epidural lymphoma (PSEL). Methods and Materials Between 1982 and 2002, 52 consecutive patients with PSEL were treated in nine institutions of the Rare Cancer Network. Forty-eight patients had an Ann Arbor stage IE and four had a stage IIE. Forty-eight patients underwent decompressive laminectomy, all received radiotherapy (RT) with (n = 32) or without chemotherapy (n = 20). Median RT dose was 36 Gy (range, 6-50 Gy). Results Six (11%) patients progressed locally and 22 (42%) had a systemic relapse. At last follow-up, 28 patients were alive and 24 had died. The 5-year overall survival, disease-free survival, and local control were 69%, 57%, and 88%, respectively. In univariate analyses, favorable prognostic factors were younger age and complete neurologic response. Multivariate analysis showed that combined modality treatment, RT volume, total dose more than 36 Gy, tumor resection, and complete neurologic response were favorable prognostic factors. Conclusions Primary spinal epidural lymphoma has distinct clinical features and outcome, with a relatively good prognosis. After therapy, local control is excellent and systemic relapse occurs in less than half the cases. Combined modality treatment appears to be superior to RT alone

  18. Primary breast lymphoma: Patient profile, outcome and prognostic factors. A multicentre Rare Cancer Network study

    Directory of Open Access Journals (Sweden)

    Gutiérrez Cristina

    2008-04-01

    Full Text Available Abstract Background To asses the clinical profile, treatment outcome and prognostic factors in primary breast lymphoma (PBL. Methods Between 1970 and 2000, 84 consecutive patients with PBL were treated in 20 institutions of the Rare Cancer Network. Forty-six patients had Ann Arbor stage IE, 33 stage IIE, 1 stage IIIE, 2 stage IVE and 2 an unknown stage. Twenty-one underwent a mastectomy, 39 conservative surgery and 23 biopsy; 51 received radiotherapy (RT with (n = 37 or without (n = 14 chemotherapy. Median RT dose was 40 Gy (range 12–55 Gy. Results Ten (12% patients progressed locally and 43 (55% had a systemic relapse. Central nervous system (CNS was the site of relapse in 12 (14% cases. The 5-yr overall survival, lymphoma-specific survival, disease-free survival and local control rates were 53%, 59%, 41% and 87% respectively. In the univariate analyses, favorable prognostic factors were early stage, conservative surgery, RT administration and combined modality treatment. Multivariate analysis showed that early stage and the use of RT were favorable prognostic factors. Conclusion The outcome of PBL is fair. Local control is excellent with RT or combined modality treatment but systemic relapses, including that in the CNS, occurs frequently.

  19. Identifying Network Perturbation in Cancer

    Science.gov (United States)

    Logsdon, Benjamin A.; Gentles, Andrew J.; Lee, Su-In

    2016-01-01

    We present a computational framework, called DISCERN (DIfferential SparsE Regulatory Network), to identify informative topological changes in gene-regulator dependence networks inferred on the basis of mRNA expression datasets within distinct biological states. DISCERN takes two expression datasets as input: an expression dataset of diseased tissues from patients with a disease of interest and another expression dataset from matching normal tissues. DISCERN estimates the extent to which each gene is perturbed—having distinct regulator connectivity in the inferred gene-regulator dependencies between the disease and normal conditions. This approach has distinct advantages over existing methods. First, DISCERN infers conditional dependencies between candidate regulators and genes, where conditional dependence relationships discriminate the evidence for direct interactions from indirect interactions more precisely than pairwise correlation. Second, DISCERN uses a new likelihood-based scoring function to alleviate concerns about accuracy of the specific edges inferred in a particular network. DISCERN identifies perturbed genes more accurately in synthetic data than existing methods to identify perturbed genes between distinct states. In expression datasets from patients with acute myeloid leukemia (AML), breast cancer and lung cancer, genes with high DISCERN scores in each cancer are enriched for known tumor drivers, genes associated with the biological processes known to be important in the disease, and genes associated with patient prognosis, in the respective cancer. Finally, we show that DISCERN can uncover potential mechanisms underlying network perturbation by explaining observed epigenomic activity patterns in cancer and normal tissue types more accurately than alternative methods, based on the available epigenomic data from the ENCODE project. PMID:27145341

  20. Biological Networks for Cancer Candidate Biomarkers Discovery

    Science.gov (United States)

    Yan, Wenying; Xue, Wenjin; Chen, Jiajia; Hu, Guang

    2016-01-01

    Due to its extraordinary heterogeneity and complexity, cancer is often proposed as a model case of a systems biology disease or network disease. There is a critical need of effective biomarkers for cancer diagnosis and/or outcome prediction from system level analyses. Methods based on integrating omics data into networks have the potential to revolutionize the identification of cancer biomarkers. Deciphering the biological networks underlying cancer is undoubtedly important for understanding the molecular mechanisms of the disease and identifying effective biomarkers. In this review, the networks constructed for cancer biomarker discovery based on different omics level data are described and illustrated from recent advances in the field.

  1. Biological Networks for Cancer Candidate Biomarkers Discovery.

    Science.gov (United States)

    Yan, Wenying; Xue, Wenjin; Chen, Jiajia; Hu, Guang

    2016-01-01

    Due to its extraordinary heterogeneity and complexity, cancer is often proposed as a model case of a systems biology disease or network disease. There is a critical need of effective biomarkers for cancer diagnosis and/or outcome prediction from system level analyses. Methods based on integrating omics data into networks have the potential to revolutionize the identification of cancer biomarkers. Deciphering the biological networks underlying cancer is undoubtedly important for understanding the molecular mechanisms of the disease and identifying effective biomarkers. In this review, the networks constructed for cancer biomarker discovery based on different omics level data are described and illustrated from recent advances in the field. PMID:27625573

  2. Network systems biology for targeted cancer therapies

    Institute of Scientific and Technical Information of China (English)

    Ting-Ting Zhou

    2012-01-01

    The era of targeted cancer therapies has arrived.However,due to the complexity of biological systems,the current progress is far from enough.From biological network modeling to structural/dynamic network analysis,network systems biology provides unique insight into the potential mechanisms underlying the growth and progression of cancer cells.It has also introduced great changes into the research paradigm of cancer-associated drug discovery and drug resistance.

  3. The Cancer Prevention and Control Research Network

    Directory of Open Access Journals (Sweden)

    Jeffrey R. Harris, MD, MPH, MBA

    2005-01-01

    Full Text Available The Cancer Prevention and Control Research Network is a national network recently established to focus on developing new interventions and disseminating and translating proven interventions into practice to reduce cancer burden and disparities, especially among minority and medically underserved populations. Jointly funded by the Centers for Disease Control and Prevention and the National Cancer Institute, the Cancer Prevention and Control Research Network consists of sites administered through Prevention Research Centers funded by the Centers for Disease Control and Prevention. The five sites are located in Kentucky, Massachusetts, South Carolina, Texas, Washington State, and West Virginia. The Cancer Prevention and Control Research Network’s intervention areas include primary prevention of cancer through healthy eating, physical activity, sun avoidance, tobacco control, and early detection of cancer through screening. The Cancer Prevention and Control Research Network uses the methods of community-based participatory research and seeks to build on the cancer-relevant systematic reviews of the Guide to Community Preventive Services. Initial foci for the Cancer Prevention and Control Research Network’s research work groups include projects to increase screening for breast, cervical, and colorectal cancers; to promote informed decision making for prostate cancer screening; and to validate educational materials developed for low-literacy populations.

  4. Research Networks Map | Division of Cancer Prevention

    Science.gov (United States)

    The Division of Cancer Prevention supports major scientific collaborations and research networks at more than 100 sites across the United States.  Five Major Programs' sites are shown on this map. | The Division of Cancer Prevention supports major scientific collaborations and research networks at more than 100 sites across the United States.

  5. Differential Network Analysis in Human Cancer Research

    Science.gov (United States)

    Gill, Ryan; Datta, Somnath; Datta, Susmita

    2016-01-01

    A complex disease like cancer is hardly caused by one gene or one protein singly. It is usually caused by the perturbation of the network formed by several genes or proteins. In the last decade several research teams have attempted to construct interaction maps of genes and proteins either experimentally or reverse engineer interaction maps using computational techniques. These networks were usually created under a certain condition such as an environmental condition, a particular disease, or a specific tissue type. Lately, however, there has been greater emphasis on finding the differential structure of the existing network topology under a novel condition or disease status to elucidate the perturbation in a biological system. In this review/tutorial article we briefly mention some of the research done in this area; we mainly illustrate the computational/statistical methods developed by our team in recent years for differential network analysis using publicly available gene expression data collected from a well known cancer study. This data includes a group of patients with acute lymphoblastic leukemia and a group with acute myeloid leukemia. In particular, we describe the statistical tests to detect the change in the network topology based on connectivity scores which measure the association or interaction between pairs of genes. The tests under various scores are applied to this data set to perform a differential network analysis on gene expression for human leukemia. We believe that, in the future, differential network analysis will be a standard way to view the changes in gene expression and protein expression data globally and these types of tests could be useful in analyzing the complex differential signatures. PMID:23530503

  6. Gene network-based cancer prognosis analysis with sparse boosting

    OpenAIRE

    Ma, Shuangge; Huang, Yuan; Huang, Jian; Fang, Kuangnan

    2012-01-01

    High-throughput gene profiling studies have been extensively conducted, searching for markers associated with cancer development and progression. In this study, we analyse cancer prognosis studies with right censored survival responses. With gene expression data, we adopt the weighted gene co-expression network analysis (WGCNA) to describe the interplay among genes. In network analysis, nodes represent genes. There are subsets of nodes, called modules, which are tightly connected to each othe...

  7. The association between active participation in a sports club, physical activity and social network on the development of lung cancer in smokers: a case-control study

    Directory of Open Access Journals (Sweden)

    Schmidt Anna

    2012-01-01

    Full Text Available Abstract Background This study analyses the effect of active participation in a sports club, physical activity and social networks on the development of lung cancer in patients who smoke. Our hypothesis is that study participants who lack social networks and do not actively participate in a sports club are at a greater risk for lung cancer than those who do. Methods Data for the study were taken from the Cologne Smoking Study (CoSmoS, a retrospective case-control study examining potential psychosocial risk factors for the development of lung cancer. Our sample consisted of n = 158 participants who had suffered lung cancer (diagnosis in the patient document and n = 144 control group participants. Both groups had a history of smoking. Data on social networks were collected by asking participants whether they participated in a sports club and about the number of friends and relatives in their social environment. In addition, sociodemographic data (gender, age, education, marital status, residence and religion, physical activity and data on pack years (the cumulative number of cigarettes smoked by an individual, calculated by multiplying the number of cigarettes smoked per day by the number of years the person has smoked divided by 20 were collected to control for potential confounders. Logistic regression was used for the statistical analysis. Results The results reveal that participants who are physically active are at a lower risk of lung cancer than those who are not (adjusted OR = 0.53*; CI = 0.29-0.97. Older age and lower education seem also to be risk factors for the development of lung cancer. The extent of smoking, furthermore, measured by pack years is statistically significant. Active participation in a sports club, number of friends and relatives had no statistically significant influence on the development of the cancer. Conclusions The results of the study suggest that there is a lower risk for physically active participants to develop

  8. Outcome and prognostic factors in cerebellar glioblastoma multiforme in adults: A retrospective study from the Rare Cancer Network

    International Nuclear Information System (INIS)

    Purpose: The aim of this study was to assess the outcome in patients with cerebellar glioblastoma (GBM) treated in 15 institutions of the Rare Cancer Network. Methods and Materials: Data from a series of 45 adult patients with cerebellar GBM were collected in a retrospective multicenter study. Median age was 50.3 years. Brainstem invasion was observed in 9 (20%) patients. Radiotherapy (RT) was administered to 36 patients (with concomitant chemotherapy, 7 patients). Adjuvant chemotherapy after RT was administered in 8 patients. Median RT dose was 59.4 Gy. Median follow-up was 7.2 months (range, 3.4-39.0). Results: The 1-year and 2-year actuarial overall survival rate was 37.8% and 14.7%, respectively, and was significantly influenced by salvage treatment (p = 0.048), tumor volume (p = 0.044), extent of neurosurgical resection (p = 0.019), brainstem invasion (p = 0.0013), additional treatment after surgery (p < 0.001), and completion of the initial treatment (p < 0.001) on univariate analysis. All patients experienced local progression: 8 and 22 had progression with and without a distant failure, respectively. The 1- and 2-year actuarial progression free survival was 25% and 10.7%, respectively, and was significantly influenced by brainstem invasion (p = 0.002), additional treatment after surgery (p = 0.0016), and completion of the initial treatment (p < 0.001). On multivariate analysis, survival was negatively influenced by the extent of surgery (p = 0.03) and brainstem invasion (p = 0.02). Conclusions: In this multicenter retrospective study, the observed pattern of failure was local in all cases, but approximately 1 patient of 4 presented with an extracerebellar component. Brainstem invasion was observed in a substantial number of patients and was an adverse prognostic factor

  9. Discovering cancer genes by integrating network and functional properties

    Directory of Open Access Journals (Sweden)

    Davis David P

    2009-09-01

    Full Text Available Abstract Background Identification of novel cancer-causing genes is one of the main goals in cancer research. The rapid accumulation of genome-wide protein-protein interaction (PPI data in humans has provided a new basis for studying the topological features of cancer genes in cellular networks. It is important to integrate multiple genomic data sources, including PPI networks, protein domains and Gene Ontology (GO annotations, to facilitate the identification of cancer genes. Methods Topological features of the PPI network, as well as protein domain compositions, enrichment of gene ontology categories, sequence and evolutionary conservation features were extracted and compared between cancer genes and other genes. The predictive power of various classifiers for identification of cancer genes was evaluated by cross validation. Experimental validation of a subset of the prediction results was conducted using siRNA knockdown and viability assays in human colon cancer cell line DLD-1. Results Cross validation demonstrated advantageous performance of classifiers based on support vector machines (SVMs with the inclusion of the topological features from the PPI network, protein domain compositions and GO annotations. We then applied the trained SVM classifier to human genes to prioritize putative cancer genes. siRNA knock-down of several SVM predicted cancer genes displayed greatly reduced cell viability in human colon cancer cell line DLD-1. Conclusion Topological features of PPI networks, protein domain compositions and GO annotations are good predictors of cancer genes. The SVM classifier integrates multiple features and as such is useful for prioritizing candidate cancer genes for experimental validations.

  10. Treatment results of 165 pediatric patients with non-metastatic nasopharyngeal carcinoma: A Rare Cancer Network study

    International Nuclear Information System (INIS)

    Purpose: This Rare Cancer Network (RCN) study was performed in pediatric nasopharyngeal carcinoma (PNPC) patients to evaluate the optimal dose of radiotherapy and to determine prognostic factors. Patients and Methods: The study included 165 patients with the diagnosis of PNPC treated between 1978 and 2003. The median age was 14 years. There were 3 (1.8%) patients with stage I, 1 (0.6%) with IIA, 10 (6.1%) with IIB, 60 (36.4%) with III, 44 (26.7%) with IVA, and 47 (29%) with IVB disease. While 21 (12.7%) patients were treated with radiotherapy (RT) alone, 144 (87.3%) received chemotherapy and RT. The median follow-up time was 48 months. Results: The actuarial 5-year overall survival (OS) was 77.4% (95% CI: 70.06-84.72), whereas the actuarial 5-year disease-free survival (DFS) rate was 68.8% (95% CI: 61.33-76.31). In multivariate analysis, unfavorable factors were age >14 years for LRC (p = 0.04); male gender for DMFS (p = 0.03); T3/T4 disease for LRFS (p = 0.01); and N3 disease for DFS (p = 0.002) and OS (p = 0.002); EBRT dose of less than 66 Gy for LRFS (p = 0.02) and LRRFS (p = 0.0028); and patients treated with RT alone for LRFS (p = 0.0001), LRRFS (p = 0.007) and DFS (p = 0.02). Conclusion: Our results support the current practice of using combined radiation and chemotherapy for optimal treatment of NPC. However, research should be encouraged in an attempt to reduce the potential for long-term sequelae in pediatric patients given their relatively favorable prognosis and potential for longevity

  11. Time-to-event analysis with artificial neural networks: an integrated analytical and rule-based study for breast cancer.

    Science.gov (United States)

    Lisboa, Paulo J G; Etchells, Terence A; Jarman, Ian H; Hane Aung, M S; Chabaud, Sylvie; Bachelot, Thomas; Perol, David; Gargi, Thérèse; Bourdès, Valérie; Bonnevay, Stéphane; Négrier, Sylvie

    2008-01-01

    This paper presents an analysis of censored survival data for breast cancer specific mortality and disease-free survival. There are three stages to the process, namely time-to-event modelling, risk stratification by predicted outcome and model interpretation using rule extraction. Model selection was carried out using the benchmark linear model, Cox regression but risk staging was derived with Cox regression and with Partial Logistic Regression Artificial Neural Networks regularised with Automatic Relevance Determination (PLANN-ARD). This analysis compares the two approaches showing the benefit of using the neural network framework especially for patients at high risk. The neural network model also has results in a smooth model of the hazard without the need for limiting assumptions of proportionality. The model predictions were verified using out-of-sample testing with the mortality model also compared with two other prognostic models called TNG and the NPI rule model. Further verification was carried out by comparing marginal estimates of the predicted and actual cumulative hazards. It was also observed that doctors seem to treat mortality and disease-free models as equivalent, so a further analysis was performed to observe if this was the case. The analysis was extended with automatic rule generation using Orthogonal Search Rule Extraction (OSRE). This methodology translates analytical risk scores into the language of the clinical domain, enabling direct validation of the operation of the Cox or neural network model. This paper extends the existing OSRE methodology to data sets that include continuous-valued variables. PMID:18304780

  12. International network of cancer genome projects

    NARCIS (Netherlands)

    Hudson, Thomas J.; Anderson, Warwick; Aretz, Axel; Barker, Anna D.; Bell, Cindy; Bernabe, Rosa R.; Bhan, M. K.; Calvo, Fabien; Eerola, Iiro; Gerhard, Daniela S.; Guttmacher, Alan; Guyer, Mark; Hemsley, Fiona M.; Jennings, Jennifer L.; Kerr, David; Klatt, Peter; Kolar, Patrik; Kusuda, Jun; Lane, David P.; Laplace, Frank; Lu, Youyong; Nettekoven, Gerd; Ozenberger, Brad; Peterson, Jane; Rao, T. S.; Remacle, Jacques; Schafer, Alan J.; Shibata, Tatsuhiro; Stratton, Michael R.; Vockley, Joseph G.; Watanabe, Koichi; Yang, Huanming; Yuen, Matthew M. F.; Knoppers, M.; Bobrow, Martin; Cambon-Thomsen, Anne; Dressler, Lynn G.; Dyke, Stephanie O. M.; Joly, Yann; Kato, Kazuto; Kennedy, Karen L.; Nicolas, Pilar; Parker, Michael J.; Rial-Sebbag, Emmanuelle; Romeo-Casabona, Carlos M.; Shaw, Kenna M.; Wallace, Susan; Wiesner, Georgia L.; Zeps, Nikolajs; Lichter, Peter; Biankin, Andrew V.; Chabannon, Christian; Chin, Lynda; Clement, Bruno; de Alava, Enrique; Degos, Francoise; Ferguson, Martin L.; Geary, Peter; Hayes, D. Neil; Johns, Amber L.; Nakagawa, Hidewaki; Penny, Robert; Piris, Miguel A.; Sarin, Rajiv; Scarpa, Aldo; Shibata, Tatsuhiro; van de Vijver, Marc; Futreal, P. Andrew; Aburatani, Hiroyuki; Bayes, Monica; Bowtell, David D. L.; Campbell, Peter J.; Estivill, Xavier; Grimmond, Sean M.; Gut, Ivo; Hirst, Martin; Lopez-Otin, Carlos; Majumder, Partha; Marra, Marco; Nakagawa, Hidewaki; Ning, Zemin; Puente, Xose S.; Ruan, Yijun; Shibata, Tatsuhiro; Stratton, Michael R.; Stunnenberg, Hendrik G.; Swerdlow, Harold; Velculescu, Victor E.; Wilson, Richard K.; Xue, Hong H.; Yang, Liu; Spellman, Paul T.; Bader, Gary D.; Boutros, Paul C.; Campbell, Peter J.; Flicek, Paul; Getz, Gad; Guigo, Roderic; Guo, Guangwu; Haussler, David; Heath, Simon; Hubbard, Tim J.; Jiang, Tao; Jones, Steven M.; Li, Qibin; Lopez-Bigas, Nuria; Luo, Ruibang; Pearson, John V.; Puente, Xose S.; Quesada, Victor; Raphael, Benjamin J.; Sander, Chris; Shibata, Tatsuhiro; Speed, Terence P.; Stuart, Joshua M.; Teague, Jon W.; Totoki, Yasushi; Tsunoda, Tatsuhiko; Valencia, Alfonso; Wheeler, David A.; Wu, Honglong; Zhao, Shancen; Zhou, Guangyu; Stein, Lincoln D.; Guigo, Roderic; Hubbard, Tim J.; Joly, Yann; Jones, Steven M.; Lathrop, Mark; Lopez-Bigas, Nuria; Ouellette, B. F. Francis; Spellman, Paul T.; Teague, Jon W.; Thomas, Gilles; Valencia, Alfonso; Yoshida, Teruhiko; Kennedy, Karen L.; Axton, Myles; Dyke, Stephanie O. M.; Futreal, P. Andrew; Gunter, Chris; Guyer, Mark; McPherson, John D.; Miller, Linda J.; Ozenberger, Brad; Kasprzyk, Arek; Zhang, Junjun; Haider, Syed A.; Wang, Jianxin; Yung, Christina K.; Cross, Anthony; Liang, Yong; Gnaneshan, Saravanamuttu; Guberman, Jonathan; Hsu, Jack; Bobrow, Martin; Chalmers, Don R. C.; Hasel, Karl W.; Joly, Yann; Kaan, Terry S. H.; Kennedy, Karen L.; Knoppers, Bartha M.; Lowrance, William W.; Masui, Tohru; Nicolas, Pilar; Rial-Sebbag, Emmanuelle; Rodriguez, Laura Lyman; Vergely, Catherine; Yoshida, Teruhiko; Grimmond, Sean M.; Biankin, Andrew V.; Bowtell, David D. L.; Cloonan, Nicole; Defazio, Anna; Eshleman, James R.; Etemadmoghadam, Dariush; Gardiner, Brooke A.; Kench, James G.; Scarpa, Aldo; Sutherland, Robert L.; Tempero, Margaret A.; Waddell, Nicola J.; Wilson, Peter J.; Gallinger, Steve; Tsao, Ming-Sound; Shaw, Patricia A.; Petersen, Gloria M.; Mukhopadhyay, Debabrata; Chin, Lynda; DePinho, Ronald A.; Thayer, Sarah; Muthuswamy, Lakshmi; Shazand, Kamran; Beck, Timothy; Sam, Michelle; Timms, Lee; Ballin, Vanessa; Lu, Youyong; Ji, Jiafu; Zhang, Xiuqing; Chen, Feng; Hu, Xueda; Zhou, Guangyu; Yang, Qi; Tian, Geng; Zhang, Lianhai; Xing, Xiaofang; Li, Xianghong; Zhu, Zhenggang; Yu, Yingyan; Yu, Jun; Yang, Huanming; Lathrop, Mark; Tost, Joerg; Brennan, Paul; Holcatova, Ivana; Zaridze, David; Brazma, Alvis; Egevad, Lars; Prokhortchouk, Egor; Banks, Rosamonde Elizabeth; Uhlen, Mathias; Cambon-Thomsen, Anne; Viksna, Juris; Ponten, Fredrik; Skryabin, Konstantin; Stratton, Michael R.; Futreal, P. Andrew; Birney, Ewan; Borg, Ake; Borresen-Dale, Anne-Lise; Caldas, Carlos; Foekens, John A.; Martin, Sancha; Reis-Filho, Jorge S.; Richardson, Andrea L.; Sotiriou, Christos; Stunnenberg, Hendrik G.; Thomas, Gilles; van de Vijver, Marc; van't Veer, Laura; Birnbaum, Daniel; Blanche, Helene; Boucher, Pascal; Boyault, Sandrine; Chabannon, Christian; Gut, Ivo; Masson-Jacquemier, Jocelyne D.; Lathrop, Mark; Pauporte, Iris; Pivot, Xavier; Vincent-Salomon, Anne; Tabone, Eric; Theillet, Charles; Thomas, Gilles; Tost, Joerg; Treilleux, Isabelle; Bioulac-Sage, Paulette; Clement, Bruno; Decaens, Thomas; Degos, Francoise; Franco, Dominique; Gut, Ivo; Gut, Marta; Heath, Simon; Lathrop, Mark; Samuel, Didier; Thomas, Gilles; Zucman-Rossi, Jessica; Lichter, Peter; Eils, Roland; Brors, Benedikt; Korbel, Jan O.; Korshunov, Andrey; Landgraf, Pablo; Lehrach, Hans; Pfister, Stefan; Radlwimmer, Bernhard; Reifenberger, Guido; Taylor, Michael D.; von Kalle, Christof; Majumder, Partha P.; Sarin, Rajiv; Scarpa, Aldo; Pederzoli, Paolo; Lawlor, Rita T.; Delledonne, Massimo; Bardelli, Alberto; Biankin, Andrew V.; Grimmond, Sean M.; Gress, Thomas; Klimstra, David; Zamboni, Giuseppe; Shibata, Tatsuhiro; Nakamura, Yusuke; Nakagawa, Hidewaki; Kusuda, Jun; Tsunoda, Tatsuhiko; Miyano, Satoru; Aburatani, Hiroyuki; Kato, Kazuto; Fujimoto, Akihiro; Yoshida, Teruhiko; Campo, Elias; Lopez-Otin, Carlos; Estivill, Xavier; Guigo, Roderic; de Sanjose, Silvia; Piris, Miguel A.; Montserrat, Emili; Gonzalez-Diaz, Marcos; Puente, Xose S.; Jares, Pedro; Valencia, Alfonso; Himmelbaue, Heinz; Quesada, Victor; Bea, Silvia; Stratton, Michael R.; Futreal, P. Andrew; Campbell, Peter J.; Vincent-Salomon, Anne; Richardson, Andrea L.; Reis-Filho, Jorge S.; van de Vijver, Marc; Thomas, Gilles; Masson-Jacquemier, Jocelyne D.; Aparicio, Samuel; Borg, Ake; Borresen-Dale, Anne-Lise; Caldas, Carlos; Foekens, John A.; Stunnenberg, Hendrik G.; van't Veer, Laura; Easton, Douglas F.; Spellman, Paul T.; Martin, Sancha; Chin, Lynda; Collins, Francis S.; Compton, Carolyn C.; Ferguson, Martin L.; Getz, Gad; Gunter, Chris; Guyer, Mark; Hayes, D. Neil; Lander, Eric S.; Ozenberger, Brad; Penny, Robert; Peterson, Jane; Sander, Chris; Speed, Terence P.; Spellman, Paul T.; Wheeler, David A.; Wilson, Richard K.; Chin, Lynda; Knoppers, Bartha M.; Lander, Eric S.; Lichter, Peter; Stratton, Michael R.; Bobrow, Martin; Burke, Wylie; Collins, Francis S.; DePinho, Ronald A.; Easton, Douglas F.; Futreal, P. Andrew; Green, Anthony R.; Guyer, Mark; Hamilton, Stanley R.; Hubbard, Tim J.; Kallioniemi, Olli P.; Kennedy, Karen L.; Ley, Timothy J.; Liu, Edison T.; Lu, Youyong; Majumder, Partha; Marra, Marco; Ozenberger, Brad; Peterson, Jane; Schafer, Alan J.; Spellman, Paul T.; Stunnenberg, Hendrik G.; Wainwright, Brandon J.; Wilson, Richard K.; Yang, Huanming

    2010-01-01

    The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic

  13. Research Studies & Networks

    Science.gov (United States)

    These epidemiological studies may assist in evaluating associations between certain pharmaceuticals and disease risk and contain detailed information on pharmaceutical use and disease risk, including cancer.

  14. Prognostic factors in solitary plasmacytoma of the bone: a multicenter Rare Cancer Network study

    International Nuclear Information System (INIS)

    Solitary plasmacytoma (SP) of the bone is a rare plasma-cell neoplasm. There are no conclusive data in the literature on the optimal radiation therapy (RT) dose in SP. Therefore, in this large retrospective study, we wanted to assess the outcome, prognostic factors, and the optimal RT dose in patients with SP. Data from 206 patients with bone SP without evidence of multiple myeloma (MM) were collected. Histopathological diagnosis was obtained for all patients. The majority (n = 169) of the patients received RT alone; 32 chemotherapy and RT, and 5 surgery. Median follow-up was 54 months (7–245). Five-year overall survival, disease-free survival (DFS), and local control was 70%, 46%, and 88%; respectively. Median time to MM development was 21 months (2–135) with a 5-year probability of 51%. In multivariate analyses, favorable factors were younger age and tumor size < 5 cm for survival; younger age for DFS; anatomic localization (vertebra vs. other) for local control. Older age was the only predictor for MM. There was no dose-response relationship for doses 30 Gy or higher, even for larger tumors. Younger patients, especially those with vertebral localization have the best outcome when treated with moderate-dose RT. Progression to MM remains the main problem. Further investigation should focus on adjuvant chemotherapy and/or novel therapeutic agents

  15. Access to cancer screening in people with learning disabilities in the UK: cohort study in the health improvement network, a primary care research database.

    Directory of Open Access Journals (Sweden)

    David P J Osborn

    Full Text Available To assess whether people with learning disability in the UK have poorer access to cancer screening.Four cohort studies comparing people with and without learning disability, within the recommended age ranges for cancer screening in the UK. We used Poisson regression to determine relative incidence rates of cancer screening.The Health Improvement Network, a UK primary care database with over 450 General practices.Individuals with a recorded diagnosis of learning disability including general diagnostic terms, specific syndromes, chromosomal abnormalities and autism in their General Practitioner computerised notes. For each type of cancer screening, a comparison cohort of up to six people without learning disability was selected for each person with a learning disability, using stratified sampling on age within GP practice.Incidence rate ratios for receiving 1 a cervical smear test, 2 a mammogram, 3 a faecal occult blood test and 4 a prostate specific antigen test.Relative rates of screening for all four cancers were significantly lower for people with learning disability. The adjusted incidence rate ratios (95% confidence intervals were Cervical smears: Number eligible with learning disability = 6,254; IRR = 0.54 (0.52-0.56. Mammograms: Number eligible with learning disability = 2,956; IRR = 0.76 (0.72-0.81; Prostate Specific Antigen: Number eligible = 3,520; IRR = 0.87 (0.80-0.96 and Faecal Occult Blood Number eligible = 6,566; 0.86 (0.78-0.94. Differences in screening rates were less pronounced in more socially deprived areas. Disparities in cervical screening rates narrowed over time, but were 45% lower in 2008/9, those for breast cancer screening appeared to widen and were 35% lower in 2009.Despite recent incentives, people with learning disability in the UK are significantly less likely to receive screening tests for cancer that those without learning disability. Other methods for reducing inequalities in access to cancer screening should be

  16. Microrheology of keratin networks in cancer cells

    International Nuclear Information System (INIS)

    Microrheology is a valuable tool to determine viscoelastic properties of polymer networks. For this purpose measurements with embedded tracer beads inside the extracted network of pancreatic cancer cells were performed. Observing the beads motion with a CCD-high-speed-camera leads to the dynamic shear modulus. The complex shear modulus is divided into real and imaginary parts which give insight into the mechanical properties of the cell. The dependency on the distance of the embedded beads to the rim of the nucleus shows a tendency for a deceasing storage modulus. We draw conclusions on the network topology of the keratin network types based on the mechanical behavior. (paper)

  17. Microrheology of keratin networks in cancer cells.

    Science.gov (United States)

    Paust, T; Paschke, S; Beil, M; Marti, O

    2013-12-01

    Microrheology is a valuable tool to determine viscoelastic properties of polymer networks. For this purpose measurements with embedded tracer beads inside the extracted network of pancreatic cancer cells were performed. Observing the beads motion with a CCD-high-speed-camera leads to the dynamic shear modulus. The complex shear modulus is divided into real and imaginary parts which give insight into the mechanical properties of the cell. The dependency on the distance of the embedded beads to the rim of the nucleus shows a tendency for a decreasing storage modulus. We draw conclusions on the network topology of the keratin network types based on the mechanical behavior. PMID:24305115

  18. The gene regulatory network for breast cancer: Integrated regulatory landscape of cancer hallmarks

    Directory of Open Access Journals (Sweden)

    Frank eEmmert-Streib

    2014-02-01

    Full Text Available In this study, we infer the breast cancer gene regulatory network from gene expression data. This network is obtained from the application of the BC3Net inference algorithm to a large-scale gene expression data set consisting of $351$ patient samples. In order to elucidate the functional relevance of the inferred network, we are performing a Gene Ontology (GO analysis for its structural components. Our analysis reveals that most significant GO-terms we find for the breast cancer network represent functional modules of biological processes that are described by known cancer hallmarks, including translation, immune response, cell cycle, organelle fission, mitosis, cell adhesion, RNA processing, RNA splicing and response to wounding. Furthermore, by using a curated list of census cancer genes, we find an enrichment in these functional modules. Finally, we study cooperative effects of chromosomes based on information of interacting genes in the beast cancer network. We find that chromosome $21$ is most coactive with other chromosomes. To our knowledge this is the first study investigating the genome-scale breast cancer network.

  19. Primary Mucosa-Associated Lymphoid Tissue Lymphoma of the Salivary Glands: A Multicenter Rare Cancer Network Study

    Energy Technology Data Exchange (ETDEWEB)

    Anacak, Yavuz, E-mail: yavuz.anacak@ege.edu.tr [Department of Radiation Oncology, Ege University Medical School, Izmir (Turkey); Miller, Robert C. [Department of Radiation Oncology, Mayo Clinic, Rochester, MN (United States); Constantinou, Nikos [Department of Hematology, Theagenion Cancer Center, Thessaloniki (Greece); Mamusa, Angela M. [Division of Hematology, Armando Businco Cancer Center, Cagliari (Italy); Epelbaum, Ron [Department of Oncology, Rambam Medical Center, Haifa (Israel); Li Yexiong [Department of Radiation Oncology, Cancer Hospital of Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing (China); Calduch, Anna Lucas [Servicio de Oncologia Radioterapica, Institut Catala d' Oncologia, Barcelona (Spain); Kowalczyk, Anna [Department of Oncology and Radiotherapy, Medical University of Gdansk (Poland); Weber, Damien C. [Department of Radiation Oncology, Geneva University Hospital (Switzerland); Kadish, Sidney P. [Department of Radiation Oncology, University of Massachusetts Medical School/Center, North Worcester, MA (United States); Bese, Nuran [Department of Radiation Oncology, Istanbul University Cerrahpasa Medical School, Istanbul (Turkey); Poortmans, Philip [Institute Verbeeten, Tilburg (Netherlands); Kamer, Serra [Department of Radiation Oncology, Ege University Medical School, Izmir (Turkey); Ozsahin, Mahmut [Department of Radiation Oncology, Centre Hospitalier Universitaire Vaudois, Lausanne (Switzerland)

    2012-01-01

    Purpose: Involvement of salivary glands with mucosa-associated lymphoid tissue (MALT) lymphoma is rare. This retrospective study was performed to assess the clinical profile, treatment outcome, and prognostic factors of MALT lymphoma of the salivary glands. Methods and Materials: Thirteen member centers of the Rare Cancer Network from 10 countries participated, providing data on 63 patients. The median age was 58 years; 47 patients were female and 16 were male. The parotid glands were involved in 49 cases, submandibular in 15, and minor glands in 3. Multiple glands were involved in 9 patients. Staging was as follows: IE in 34, IIE in 12, IIIE in 2, and IV in 15 patients. Results: Surgery (S) alone was performed in 9, radiotherapy (RT) alone in 8, and chemotherapy (CT) alone in 4 patients. Forty-one patients received combined modality treatment (S + RT in 23, S + CT in 8, RT + CT in 4, and all three modalities in 6 patients). No active treatment was given in one case. After initial treatment there was no tumor in 57 patients and residual tumor in 5. Tumor progression was observed in 23 (36.5%) (local in 1, other salivary glands in 10, lymph nodes in 11, and elsewhere in 6). Five patients died of disease progression and the other 5 of other causes. The 5-year disease-free survival, disease-specific survival, and overall survival were 54.4%, 93.2%, and 81.7%, respectively. Factors influencing disease-free survival were use of RT, stage, and residual tumor (p < 0.01). Factors influencing disease-specific survival were stage, recurrence, and residual tumor (p < 0.01). Conclusions: To our knowledge, this report represents the largest series of MALT lymphomas of the salivary glands published to date. This disease may involve all salivary glands either initially or subsequently in 30% of patients. Recurrences may occur in up to 35% of patients at 5 years; however, survival is not affected. Radiotherapy is the only treatment modality that improves disease-free survival.

  20. Small Cell Carcinoma of the Urinary Bladder: A Retrospective, Multicenter Rare Cancer Network Study of 107 Patients

    Energy Technology Data Exchange (ETDEWEB)

    Pasquier, David, E-mail: d-pasquier@o-lambret.fr [Academic Radiation Oncology Department, Centre Oscar Lambret, Lille (France); Barney, Brandon [Mayo Clinic, Rochester, Minnesota (United States); Sundar, Santhanam [Department of Oncology, Nottingham University Hospitals National Health Service Trust, Nottingham (United Kingdom); Poortmans, Philip [Department of Radiation Oncology, Radboud university medical center, Nijmegen (Netherlands); Villa, Salvador [Radiation Oncology, Catalan Institute of Oncology, H. Universitari Germans Trías, Badalona, Barcelona (Spain); Nasrallah, Haitam [Division of Oncology, Rambam Health Care Campus and Faculty of Medicine, Technion-Israel Institute of Technology, Haifa (Israel); Boujelbene, Noureddine [Department of Radiation Oncology, Centre Hospitalier Universitaire Vaudois, Lausanne (Switzerland); Ghadjar, Pirus [Department of Radiation Oncology, Bern University Hospital, Bern (Switzerland); Lassen-Ramshad, Yasmin [Department of Oncology, Aarhus University Hospital, Aarhus (Denmark); Senkus, Elżbieta [Department of Oncology and Radiotherapy, Medical University of Gdansk, Gdansk (Poland); Oar, Andrew [Genesis Cancer Care, Southport (Australia); Roelandts, Martine [Institut Jules Bordet, Brussels (Belgium); Amichetti, Maurizio [Provincial Agency for Proton Therapy, Trento (Italy); Vees, Hansjoerg [Department of Radiation Oncology, Hopital de Sion, Sion (Switzerland); Zilli, Thomas [Department of Radiation Oncology, Geneva University Hospital, Geneva (Switzerland); Ozsahin, Mahmut [Department of Radiation Oncology, Centre Hospitalier Universitaire Vaudois, Lausanne (Switzerland)

    2015-07-15

    Purpose: Small cell carcinomas of the bladder (SCCB) account for fewer than 1% of all urinary bladder tumors. There is no consensus regarding the optimal treatment for SCCB. Methods and Materials: Fifteen academic Rare Cancer Network medical centers contributed SCCB cases. The eligibility criteria were as follows: pure or mixed SCC; local, locoregional, and metastatic stages; and age ≥18 years. The overall survival (OS) and disease-free survival (DFS) were calculated from the date of diagnosis according to the Kaplan-Meier method. The log-rank and Wilcoxon tests were used to analyze survival as functions of clinical and therapeutic factors. Results: The study included 107 patients (mean [±standard deviation, SD] age, 69.6 [±10.6] years; mean follow-up time, 4.4 years) with primary bladder SCC, with 66% of these patients having pure SCC. Seventy-two percent and 12% of the patients presented with T2-4N0M0 and T2-4N1-3M0 stages, respectively, and 16% presented with synchronous metastases. The most frequent curative treatments were radical surgery and chemotherapy, sequential chemotherapy and radiation therapy, and radical surgery alone. The median (interquartile range, IQR) OS and DFS times were 12.9 months (IQR, 7-32 months) and 9 months (IQR, 5-23 months), respectively. The metastatic, T2-4N0M0, and T2-4N1-3M0 groups differed significantly (P=.001) in terms of median OS and DFS. In a multivariate analysis, impaired creatinine clearance (OS and DFS), clinical stage (OS and DFS), a Karnofsky performance status <80 (OS), and pure SCC histology (OS) were independent and significant adverse prognostic factors. In the patients with nonmetastatic disease, the type of treatment (ie radical surgery with or without adjuvant chemotherapy vs conservative treatment) did not significantly influence OS or DFS (P=.7). Conclusions: The prognosis for SCCB remains poor. The finding that radical cystectomy did not influence DFS or OS in the patients with nonmetastatic disease

  1. Small Cell Carcinoma of the Urinary Bladder: A Retrospective, Multicenter Rare Cancer Network Study of 107 Patients

    International Nuclear Information System (INIS)

    Purpose: Small cell carcinomas of the bladder (SCCB) account for fewer than 1% of all urinary bladder tumors. There is no consensus regarding the optimal treatment for SCCB. Methods and Materials: Fifteen academic Rare Cancer Network medical centers contributed SCCB cases. The eligibility criteria were as follows: pure or mixed SCC; local, locoregional, and metastatic stages; and age ≥18 years. The overall survival (OS) and disease-free survival (DFS) were calculated from the date of diagnosis according to the Kaplan-Meier method. The log-rank and Wilcoxon tests were used to analyze survival as functions of clinical and therapeutic factors. Results: The study included 107 patients (mean [±standard deviation, SD] age, 69.6 [±10.6] years; mean follow-up time, 4.4 years) with primary bladder SCC, with 66% of these patients having pure SCC. Seventy-two percent and 12% of the patients presented with T2-4N0M0 and T2-4N1-3M0 stages, respectively, and 16% presented with synchronous metastases. The most frequent curative treatments were radical surgery and chemotherapy, sequential chemotherapy and radiation therapy, and radical surgery alone. The median (interquartile range, IQR) OS and DFS times were 12.9 months (IQR, 7-32 months) and 9 months (IQR, 5-23 months), respectively. The metastatic, T2-4N0M0, and T2-4N1-3M0 groups differed significantly (P=.001) in terms of median OS and DFS. In a multivariate analysis, impaired creatinine clearance (OS and DFS), clinical stage (OS and DFS), a Karnofsky performance status <80 (OS), and pure SCC histology (OS) were independent and significant adverse prognostic factors. In the patients with nonmetastatic disease, the type of treatment (ie radical surgery with or without adjuvant chemotherapy vs conservative treatment) did not significantly influence OS or DFS (P=.7). Conclusions: The prognosis for SCCB remains poor. The finding that radical cystectomy did not influence DFS or OS in the patients with nonmetastatic disease

  2. Primary Mucosa-Associated Lymphoid Tissue Lymphoma of the Salivary Glands: A Multicenter Rare Cancer Network Study

    International Nuclear Information System (INIS)

    Purpose: Involvement of salivary glands with mucosa-associated lymphoid tissue (MALT) lymphoma is rare. This retrospective study was performed to assess the clinical profile, treatment outcome, and prognostic factors of MALT lymphoma of the salivary glands. Methods and Materials: Thirteen member centers of the Rare Cancer Network from 10 countries participated, providing data on 63 patients. The median age was 58 years; 47 patients were female and 16 were male. The parotid glands were involved in 49 cases, submandibular in 15, and minor glands in 3. Multiple glands were involved in 9 patients. Staging was as follows: IE in 34, IIE in 12, IIIE in 2, and IV in 15 patients. Results: Surgery (S) alone was performed in 9, radiotherapy (RT) alone in 8, and chemotherapy (CT) alone in 4 patients. Forty-one patients received combined modality treatment (S + RT in 23, S + CT in 8, RT + CT in 4, and all three modalities in 6 patients). No active treatment was given in one case. After initial treatment there was no tumor in 57 patients and residual tumor in 5. Tumor progression was observed in 23 (36.5%) (local in 1, other salivary glands in 10, lymph nodes in 11, and elsewhere in 6). Five patients died of disease progression and the other 5 of other causes. The 5-year disease-free survival, disease-specific survival, and overall survival were 54.4%, 93.2%, and 81.7%, respectively. Factors influencing disease-free survival were use of RT, stage, and residual tumor (p < 0.01). Factors influencing disease-specific survival were stage, recurrence, and residual tumor (p < 0.01). Conclusions: To our knowledge, this report represents the largest series of MALT lymphomas of the salivary glands published to date. This disease may involve all salivary glands either initially or subsequently in 30% of patients. Recurrences may occur in up to 35% of patients at 5 years; however, survival is not affected. Radiotherapy is the only treatment modality that improves disease-free survival.

  3. International network of cancer genome projects.

    OpenAIRE

    Aretz, Axel; Bernabé, Rosa R.; Eerola, Iiro; Hemsley, Fiona M.; Jennings, Jennifer L.; Kerr, David; Klatt, Peter; Kolar, Patrik; Lane, David P; Laplace, Frank; Nettekoven, Gerd; Remacle, Jacques; WATANABE, Koichi; Yuen, Matthew M. F.; Knoppers, Bartha M.

    2010-01-01

    The International Cancer Genome Consortium (ICGC) was launched to coordinate large-scale cancer genome studies in tumours from 50 different cancer types and/or subtypes that are of clinical and societal importance across the globe. Systematic studies of more than 25,000 cancer genomes at the genomic, epigenomic and transcriptomic levels will reveal the repertoire of oncogenic mutations, uncover traces of the mutagenic influences, define clinically relevant subtypes for prognosis and therapeut...

  4. Decoding network dynamics in cancer

    DEFF Research Database (Denmark)

    Linding, Rune

    2014-01-01

    models through computational integration of systematic, large-scale, high-dimensional quantitative data sets. I will review our latest advances in methods for exploring phosphorylation networks. In particular I will discuss how the combination of quantitative mass-spectrometry, systems......-genetics and computational algorithms (NetworKIN [Linding et al. Cell 2007] and NetPhorest [Miller et al. Science Signaling 2008]) made it possible for us to derive systems-level models of JNK and EphR signalling networks [Bakal et al. Science 2008, Jørgensen et al. Science 2009]. I shall discuss work we have done......Biological systems are composed of highly dynamic and interconnected molecular networks that drive biological decision processes. The goal of network biology is to describe, quantify and predict the information flow and functional behaviour of living systems in a formal language...

  5. Identifying Network Perturbation in Cancer.

    OpenAIRE

    Maxim Grechkin; Logsdon, Benjamin A.; Gentles, Andrew J.; Su-In Lee

    2016-01-01

    We present a computational framework, called DISCERN (DIfferential SparsE Regulatory Network), to identify informative topological changes in gene-regulator dependence networks inferred on the basis of mRNA expression datasets within distinct biological states. DISCERN takes two expression datasets as input: an expression dataset of diseased tissues from patients with a disease of interest and another expression dataset from matching normal tissues. DISCERN estimates the extent to which each ...

  6. Identifying Network Perturbation in Cancer

    OpenAIRE

    Grechkin, Maxim; Logsdon, Benjamin A.; Gentles, Andrew J.; Lee, Su-In

    2016-01-01

    We present a computational framework, called DISCERN (DIfferential SparsE Regulatory Network), to identify informative topological changes in gene-regulator dependence networks inferred on the basis of mRNA expression datasets within distinct biological states. DISCERN takes two expression datasets as input: an expression dataset of diseased tissues from patients with a disease of interest and another expression dataset from matching normal tissues. DISCERN estimates the extent to which each ...

  7. Regulation patterns in signaling networks of cancer

    Directory of Open Access Journals (Sweden)

    Kannabiran Nandakumar

    2010-11-01

    Full Text Available Abstract Background Formation of cellular malignancy results from the disruption of fine tuned signaling homeostasis for proliferation, accompanied by mal-functional signals for differentiation, cell cycle and apoptosis. We wanted to observe central signaling characteristics on a global view of malignant cells which have evolved to selfishness and independence in comparison to their non-malignant counterparts that fulfill well defined tasks in their sample. Results We investigated the regulation of signaling networks with twenty microarray datasets from eleven different tumor types and their corresponding non-malignant tissue samples. Proteins were represented by their coding genes and regulatory distances were defined by correlating the gene-regulation between neighboring proteins in the network (high correlation = small distance. In cancer cells we observed shorter pathways, larger extension of the networks, a lower signaling frequency of central proteins and links and a higher information content of the network. Proteins of high signaling frequency were enriched with cancer mutations. These proteins showed motifs of regulatory integration in normal cells which was disrupted in tumor cells. Conclusion Our global analysis revealed a distinct formation of signaling-regulation in cancer cells when compared to cells of normal samples. From these cancer-specific regulation patterns novel signaling motifs are proposed.

  8. CDC's Cervical Cancer Study

    Science.gov (United States)

    ... in Cancer Moonshot Stay Informed CDC’s Cervical Cancer Study Language: English Español (Spanish) Recommend on Facebook Tweet ... year. As part of CDC’s Cervical Cancer (Cx3) Study, we surveyed a sample of both health care ...

  9. Navigating cancer network attractors for tumor-specific therapy

    DEFF Research Database (Denmark)

    Creixell, Pau; Schoof, Erwin; Erler, Janine Terra;

    2012-01-01

    understanding of the processes by which genetic lesions perturb these networks and lead to disease phenotypes. Network biology will help circumvent fundamental obstacles in cancer treatment, such as drug resistance and metastasis, empowering personalized and tumor-specific cancer therapies.......Cells employ highly dynamic signaling networks to drive biological decision processes. Perturbations to these signaling networks may attract cells to new malignant signaling and phenotypic states, termed cancer network attractors, that result in cancer development. As different cancer cells reach...... these malignant states by accumulating different molecular alterations, uncovering these mechanisms represents a grand challenge in cancer biology. Addressing this challenge will require new systems-based strategies that capture the intrinsic properties of cancer signaling networks and provide deeper...

  10. Visual gene-network analysis reveals the cancer gene co-expression in human endometrial cancer

    OpenAIRE

    Chou, Wei-Chun; Cheng, An-Lin; Brotto, Marco; Chuang, Chun-Yu

    2014-01-01

    Background Endometrial cancers (ECs) are the most common form of gynecologic malignancy. Recent studies have reported that ECs reveal distinct markers for molecular pathogenesis, which in turn is linked to the various histological types of ECs. To understand further the molecular events contributing to ECs and endometrial tumorigenesis in general, a more precise identification of cancer-associated molecules and signaling networks would be useful for the detection and monitoring of malignancy,...

  11. Pathway and network analysis of cancer genomes

    DEFF Research Database (Denmark)

    Creixell, Pau; Reimand, Jueri; Haider, Syed;

    2015-01-01

    Genomic information on tumors from 50 cancer types cataloged by the International Cancer Genome Consortium (ICGC) shows that only a few well-studied driver genes are frequently mutated, in contrast to many infrequently mutated genes that may also contribute to tumor biology. Hence there has been ...

  12. Proteomics, pathway array and signaling network-based medicine in cancer

    Directory of Open Access Journals (Sweden)

    Xu Hong

    2009-10-01

    Full Text Available Abstract Cancer is a multifaceted disease that results from dysregulated normal cellular signaling networks caused by genetic, genomic and epigenetic alterations at cell or tissue levels. Uncovering the underlying protein signaling network changes, including cell cycle gene networks in cancer, aids in understanding the molecular mechanism of carcinogenesis and identifies the characteristic signaling network signatures unique for different cancers and specific cancer subtypes. The identified signatures can be used for cancer diagnosis, prognosis, and personalized treatment. During the past several decades, the available technology to study signaling networks has significantly evolved to include such platforms as genomic microarray (expression array, SNP array, CGH array, etc. and proteomic analysis, which globally assesses genetic, epigenetic, and proteomic alterations in cancer. In this review, we compared Pathway Array analysis with other proteomic approaches in analyzing protein network involved in cancer and its utility serving as cancer biomarkers in diagnosis, prognosis and therapeutic target identification. With the advent of bioinformatics, constructing high complexity signaling networks is possible. As the use of signaling network-based cancer diagnosis, prognosis and treatment is anticipated in the near future, medical and scientific communities should be prepared to apply these techniques to further enhance personalized medicine.

  13. Comparison of Back propagation neural network and Back propagation neural network Based Particle Swarm intelligence in Diagnostic Breast Cancer

    Directory of Open Access Journals (Sweden)

    Farahnaz SADOUGHI

    2014-03-01

    Full Text Available Breast cancer is the most commonly diagnosed cancer and the most common cause of death in women all over the world. Use of computer technology supporting breast cancer diagnosing is now widespread and pervasive across a broad range of medical areas. Early diagnosis of this disease can greatly enhance the chances of long-term survival of breast cancer victims. Artificial Neural Networks (ANN as mainly method play important role in early diagnoses breast cancer. This paper studies Levenberg Marquardet Backpropagation (LMBP neural network and Levenberg Marquardet Backpropagation based Particle Swarm Optimization(LMBP-PSO for the diagnosis of breast cancer. The obtained results show that LMBP and LMBP based PSO system provides higher classification efficiency. But LMBP based PSO needs minimum training and testing time. It helps in developing Medical Decision System (MDS for breast cancer diagnosing. It can also be used as secondary observer in clinical decision making.

  14. Network of Cancer Genes (NCG 3.0): integration and analysis of genetic and network properties of cancer genes

    OpenAIRE

    D'Antonio, Matteo; Pendino, Vera; Sinha, Shruti; Ciccarelli, Francesca D.

    2011-01-01

    The identification of a constantly increasing number of genes whose mutations are causally implicated in tumor initiation and progression (cancer genes) requires the development of tools to store and analyze them. The Network of Cancer Genes (NCG 3.0) collects information on 1494 cancer genes that have been found mutated in 16 different cancer types. These genes were collected from the Cancer Gene Census as well as from 18 whole exome and 11 whole-genome screenings of cancer samples. For each...

  15. Geographical variation in cancer survival in England, 1991–2006: an analysis by Cancer Network

    Science.gov (United States)

    Quaresma, Manuela; Coleman, Michel P; Gordon, Emma; Forman, David; Rachet, Bernard

    2011-01-01

    Background Reducing geographical inequalities in cancer survival in England was a key aim of the Calman–Hine Report (1995) and the NHS Cancer Plan (2000). This study assesses whether geographical inequalities changed following these policy developments by analysing the trend in 1-year relative survival in the 28 cancer networks of England. Methods Population-based age-standardised relative survival at 1 year is estimated for 1.4 million patients diagnosed with cancer of the oesophagus, stomach, colon, lung, breast (women) or cervix in England during 1991–2006 and followed up to 2007. Regional and deprivation-specific life tables are built to adjust survival estimates for differences in background mortality. Analysis is divided into three calendar periods: 1991–5, 1996–2000 and 2001–6. Funnel plots are used to assess geographical variation in survival over time. Results One-year relative survival improved for all cancers except cervical cancer. There was a wide geographical variation in survival with generally lower estimates in northern England. This north–south divide became less marked over time, although the overall number of cancer networks that were lower outliers compared with the England value remained stable. Breast cancer was the only cancer for which there was a marked reduction in geographical inequality in survival over time. Conclusion Policy changes over the past two decades coincided with improved relative survival, without an increase in geographical variation. The north–south divide in relative survival became less pronounced over time but geographical inequalities persist. The reduction in geographical inequality in breast cancer survival may be followed by a similar trend for other cancers, provided government recommendations are implemented similarly. PMID:21321064

  16. Evolution and Controllability of Cancer Networks: A Boolean Perspective.

    Science.gov (United States)

    Srihari, Sriganesh; Raman, Venkatesh; Leong, Hon Wai; Ragan, Mark A

    2014-01-01

    Cancer forms a robust system capable of maintaining stable functioning (cell sustenance and proliferation) despite perturbations. Cancer progresses as stages over time typically with increasing aggressiveness and worsening prognosis. Characterizing these stages and identifying the genes driving transitions between them is critical to understand cancer progression and to develop effective anti-cancer therapies. In this work, we propose a novel model for the `cancer system' as a Boolean state space in which a Boolean network, built from protein-interaction and gene-expression data from different stages of cancer, transits between Boolean satisfiability states by "editing" interactions and "flipping" genes. Edits reflect rewiring of the PPI network while flipping of genes reflect activation or silencing of genes between stages. We formulate a minimization problem min flip to identify these genes driving the transitions. The application of our model (called BoolSpace) on three case studies-pancreatic and breast tumours in human and post spinal-cord injury (SCI) in rats-reveals valuable insights into the phenomenon of cancer progression: (i) interactions involved in core cell-cycle and DNA-damage repair pathways are significantly rewired in tumours, indicating significant impact to key genome-stabilizing mechanisms; (ii) several of the genes flipped are serine/threonine kinases which act as biological switches, reflecting cellular switching mechanisms between stages; and (iii) different sets of genes are flipped during the initial and final stages indicating a pattern to tumour progression. Based on these results, we hypothesize that robustness of cancer partly stems from "passing of the baton" between genes at different stages-genes from different biological processes and/or cellular components are involved in different stages of tumour progression thereby allowing tumour cells to evade targeted therapy, and therefore an effective therapy should target a "cover set" of

  17. The Essential Role of Radiotherapy in the Treatment of Merkel Cell Carcinoma: A Study From the Rare Cancer Network

    International Nuclear Information System (INIS)

    Purpose: To evaluate the role of postoperative radiotherapy (RT) in Merkel cell carcinoma (MCC). Methods and Materials: A retrospective multicenter study was performed in 180 patients with MCC treated between February 1988 and September 2009. Patients who had had surgery alone were compared with patients who received surgery and postoperative RT or radical RT. Local relapse-free survival (LRFS), regional relapse-free survival (RRFS), and distant metastasis-free survival (DMFS) rates were assessed together with disease-free survival (DFS), cancer-specific survival (CSS), and overall survival (OS) rates. Results: Seventy-nine patients were male and 101 patients were female, and the median age was 73 years old (range, 38–93 years). The majority of patients had localized disease (n = 146), and the remaining patients had regional lymph node metastasis (n = 34). Forty-nine patients underwent surgery for the primary tumor without postoperative RT to the primary site; the other 131 patients received surgery for the primary tumor, followed by postoperative RT (n = 118) or a biopsy of the primary tumor followed by radical RT (n = 13). Median follow-up was 5 years (range, 0.2–16.5 years). Patients in the RT group had improved LRFS (93% vs. 64%; p < 0.001), RRFS (76% vs. 27%; p < 0.001), DMFS (70% vs. 42%; p = 0.01), DFS (59% vs. 4%; p < 0.001), and CSS (65% vs. 49%; p = 0.03) rates compared to patients who underwent surgery for the primary tumor alone; LRFS, RRFS, DMFS, and DFS rates remained significant with multivariable Cox regression analysis. However OS was not significantly improved by postoperative RT (56% vs. 46%; p = 0.2). Conclusions: After multivariable analysis, postoperative RT was associated with improved outcome and seems to be an important component in the multimodality treatment of MCC.

  18. The Essential Role of Radiotherapy in the Treatment of Merkel Cell Carcinoma: A Study From the Rare Cancer Network

    Energy Technology Data Exchange (ETDEWEB)

    Ghadjar, Pirus, E-mail: pirus.ghadjar@insel.ch [Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern (Switzerland); Kaanders, Johannes H. [Department of Radiation Oncology, Radboud University Nijmegen Medical Centre, Institute of Oncology (Netherlands); Poortmans, Philipp [Department of Radiation Oncology, Institute Verbeeten, Tilburg (Netherlands); Zaucha, Renata [Department of Oncology and Radiotherapy, Medical University, Gdansk (Poland); Krengli, Marco [Department of Radiotherapy, University Hospital Maggiore della Carita, Novara (Italy); Lagrange, Jean L. [Service de Radiotherapie, Hopital Henri-Mondor, Creteil (France); Oezsoy, Orhan [Department of Radiation Oncology, CHCVs-RSV, Sion (Switzerland); Nguyen, Tan D. [Department of Radiation Oncology, Institut Jean Godinot, Reims (France); Miralbell, Raymond [Department of Radiation Oncology, Hopitaux Universitaires de Geneve, Geneva (Switzerland); Baize, Adele [Department de Radio-Oncologie, Institut Jules Bordet, Bruxelles (Belgium); Boujelbene, Noureddine [Department of Radiation Oncology, Centre Hospitalier Universitaire Vaudois, Lausanne (Switzerland); Collen, Timothy [Department of Radiation Oncology, Kantonsspital St. Gallen (Switzerland); Scandolaro, Luciano [Radioterapia, Azienda Ospedale Sant' Anna, Como (Italy); Untereiner, Michel [Centre Francois Baclesse, Luxembourg (Luxembourg); Goldberg, Hadassah [Oncology Departement, Rambam Medical Center, Haifa (Israel); Pesce, Gianfranco A. [Department of Radiation Oncology, Oncology Institute of Southern Switzerland, Opedale San Giovanni, Bellinzona (Switzerland); Anacak, Yavuz [Department of Radiation Oncology, EGE University, Izmir (Turkey); Friedrich, Esther E.; Aebersold, Daniel M. [Department of Radiation Oncology, Inselspital, Bern University Hospital, and University of Bern (Switzerland); Beer, Karl T. [Radio Onkologiezentrum Biel (Switzerland)

    2011-11-15

    Purpose: To evaluate the role of postoperative radiotherapy (RT) in Merkel cell carcinoma (MCC). Methods and Materials: A retrospective multicenter study was performed in 180 patients with MCC treated between February 1988 and September 2009. Patients who had had surgery alone were compared with patients who received surgery and postoperative RT or radical RT. Local relapse-free survival (LRFS), regional relapse-free survival (RRFS), and distant metastasis-free survival (DMFS) rates were assessed together with disease-free survival (DFS), cancer-specific survival (CSS), and overall survival (OS) rates. Results: Seventy-nine patients were male and 101 patients were female, and the median age was 73 years old (range, 38-93 years). The majority of patients had localized disease (n = 146), and the remaining patients had regional lymph node metastasis (n = 34). Forty-nine patients underwent surgery for the primary tumor without postoperative RT to the primary site; the other 131 patients received surgery for the primary tumor, followed by postoperative RT (n = 118) or a biopsy of the primary tumor followed by radical RT (n = 13). Median follow-up was 5 years (range, 0.2-16.5 years). Patients in the RT group had improved LRFS (93% vs. 64%; p < 0.001), RRFS (76% vs. 27%; p < 0.001), DMFS (70% vs. 42%; p = 0.01), DFS (59% vs. 4%; p < 0.001), and CSS (65% vs. 49%; p = 0.03) rates compared to patients who underwent surgery for the primary tumor alone; LRFS, RRFS, DMFS, and DFS rates remained significant with multivariable Cox regression analysis. However OS was not significantly improved by postoperative RT (56% vs. 46%; p = 0.2). Conclusions: After multivariable analysis, postoperative RT was associated with improved outcome and seems to be an important component in the multimodality treatment of MCC.

  19. Radiotherapy with curative objective in the localised prostate adenocarcinomas occurring after eighty years. A study of the Rare Cancer Network

    International Nuclear Information System (INIS)

    The radiotherapy delivered in a curative aim is well tolerated among patients aged eighty years or more. The results in term of survival suggest that the lack of negative impact of irradiation. The authors wish that the modern techniques of irradiation are not systematically inadvisable among patients with localised prostate cancer. (N.C.)

  20. Network analysis of breast cancer progression and reversal using a tree-evolving network algorithm.

    Directory of Open Access Journals (Sweden)

    Ankur P Parikh

    2014-07-01

    Full Text Available The HMT3522 progression series of human breast cells have been used to discover how tissue architecture, microenvironment and signaling molecules affect breast cell growth and behaviors. However, much remains to be elucidated about malignant and phenotypic reversion behaviors of the HMT3522-T4-2 cells of this series. We employed a "pan-cell-state" strategy, and analyzed jointly microarray profiles obtained from different state-specific cell populations from this progression and reversion model of the breast cells using a tree-lineage multi-network inference algorithm, Treegl. We found that different breast cell states contain distinct gene networks. The network specific to non-malignant HMT3522-S1 cells is dominated by genes involved in normal processes, whereas the T4-2-specific network is enriched with cancer-related genes. The networks specific to various conditions of the reverted T4-2 cells are enriched with pathways suggestive of compensatory effects, consistent with clinical data showing patient resistance to anticancer drugs. We validated the findings using an external dataset, and showed that aberrant expression values of certain hubs in the identified networks are associated with poor clinical outcomes. Thus, analysis of various reversion conditions (including non-reverted of HMT3522 cells using Treegl can be a good model system to study drug effects on breast cancer.

  1. Case Studies - Cervical Cancer

    Centers for Disease Control (CDC) Podcasts

    2010-10-15

    Dr. Alan Waxman, a professor of obstetrics and gynecology at the University of New Mexico and chair of the American College of Obstetricians and Gynecologists (ACOG) committee for the underserved, talks about several case studies for cervical cancer screening and management.  Created: 10/15/2010 by National Center for Chronic Disease Prevention and Health Promotion (NCCDPHP), Division of Cancer Prevention and Control (DCPC).   Date Released: 6/9/2010.

  2. Online Social Networks - Opportunities for Empowering Cancer Patients.

    Science.gov (United States)

    Mohammadzadeh, Zeinab; Davoodi, Somayeh; Ghazisaeidi, Marjan

    2016-01-01

    Online social network technologies have become important to health and apply in most health care areas. Particularly in cancer care, because it is a disease which involves many social aspects, online social networks can be very useful. Use of online social networks provides a suitable platform for cancer patients and families to present and share information about their medical conditions, address their educational needs, support decision making, and help to coping with their disease and improve their own outcomes. Like any other new technologies, online social networks, along with many benefits, have some negative effects such as violation of privacy and publication of incorrect information. However, if these effects are managed properly, they can empower patients to manage cancer through changing behavioral patterns and enhancing the quality of cancer patients lives This paper explains some application of online social networks in the cancer patient care process. It also covers advantages and disadvantages of related technologies. PMID:27039815

  3. Neural networks combined with region growing techniques for tumor detection in [18F]-fluorothymidine dynamic positron emission tomography breast cancer studies

    Science.gov (United States)

    Cseh, Zoltan; Kenny, Laura; Swingland, James; Bose, Subrata; Turheimer, Federico E.

    2013-03-01

    Early detection and precise localization of malignant tumors has been a primary challenge in medical imaging in recent years. Functional modalities play a continuously increasing role in these efforts. Image segmentation algorithms which enable automatic, accurate tumor visualization and quantification on noisy positron emission tomography (PET) images would significantly improve the quality of treatment planning processes and in turn, the success of treatments. In this work a novel multistep method has been applied in order to identify tumor regions in 4D dynamic [18F] fluorothymidine (FLT) PET studies of patients with locally advanced breast cancer. In order to eliminate the effect of inherently detectable high inhomogeneity inside tumors, specific voxel-kinetic classes were initially introduced by finding characteristic FLT-uptake curves with K-means algorithm on a set of voxels collected from each tumor. Image voxel sets were then split based on voxel time-activity curve (TAC) similarities, and models were generated separately on each voxel set. At first, artificial neural networks, in comparison with linear classification algorithms were applied to distinguish tumor and healthy regions relying on the characteristics of TACs of the individual voxels. The outputs of the best model with very high specificity were then used as input seeds for region shrinking and growing techniques, the application of which considerably enhanced the sensitivity and specificity (78.65% +/- 0.65% and 98.98% +/- 0.03%, respectively) of the final image segmentation model.

  4. Network regularised Cox regression and multiplex network models to predict disease comorbidities and survival of cancer.

    Science.gov (United States)

    Xu, Haoming; Moni, Mohammad Ali; Liò, Pietro

    2015-12-01

    In cancer genomics, gene expression levels provide important molecular signatures for all types of cancer, and this could be very useful for predicting the survival of cancer patients. However, the main challenge of gene expression data analysis is high dimensionality, and microarray is characterised by few number of samples with large number of genes. To overcome this problem, a variety of penalised Cox proportional hazard models have been proposed. We introduce a novel network regularised Cox proportional hazard model and a novel multiplex network model to measure the disease comorbidities and to predict survival of the cancer patient. Our methods are applied to analyse seven microarray cancer gene expression datasets: breast cancer, ovarian cancer, lung cancer, liver cancer, renal cancer and osteosarcoma. Firstly, we applied a principal component analysis to reduce the dimensionality of original gene expression data. Secondly, we applied a network regularised Cox regression model on the reduced gene expression datasets. By using normalised mutual information method and multiplex network model, we predict the comorbidities for the liver cancer based on the integration of diverse set of omics and clinical data, and we find the diseasome associations (disease-gene association) among different cancers based on the identified common significant genes. Finally, we evaluated the precision of the approach with respect to the accuracy of survival prediction using ROC curves. We report that colon cancer, liver cancer and renal cancer share the CXCL5 gene, and breast cancer, ovarian cancer and renal cancer share the CCND2 gene. Our methods are useful to predict survival of the patient and disease comorbidities more accurately and helpful for improvement of the care of patients with comorbidity. Software in Matlab and R is available on our GitHub page: https://github.com/ssnhcom/NetworkRegularisedCox.git. PMID:26611766

  5. A Federated Network for Translational Cancer Research Using Clinical Data and Biospecimens.

    Science.gov (United States)

    Jacobson, Rebecca S; Becich, Michael J; Bollag, Roni J; Chavan, Girish; Corrigan, Julia; Dhir, Rajiv; Feldman, Michael D; Gaudioso, Carmelo; Legowski, Elizabeth; Maihle, Nita J; Mitchell, Kevin; Murphy, Monica; Sakthivel, Mayurapriyan; Tseytlin, Eugene; Weaver, JoEllen

    2015-12-15

    Advances in cancer research and personalized medicine will require significant new bridging infrastructures, including more robust biorepositories that link human tissue to clinical phenotypes and outcomes. In order to meet that challenge, four cancer centers formed the Text Information Extraction System (TIES) Cancer Research Network, a federated network that facilitates data and biospecimen sharing among member institutions. Member sites can access pathology data that are de-identified and processed with the TIES natural language processing system, which creates a repository of rich phenotype data linked to clinical biospecimens. TIES incorporates multiple security and privacy best practices that, combined with legal agreements, network policies, and procedures, enable regulatory compliance. The TIES Cancer Research Network now provides integrated access to investigators at all member institutions, where multiple investigator-driven pilot projects are underway. Examples of federated search across the network illustrate the potential impact on translational research, particularly for studies involving rare cancers, rare phenotypes, and specific biologic behaviors. The network satisfies several key desiderata including local control of data and credentialing, inclusion of rich phenotype information, and applicability to diverse research objectives. The TIES Cancer Research Network presents a model for a national data and biospecimen network. PMID:26670560

  6. Gene Expression Correlation for Cancer Diagnosis: A Pilot Study

    Directory of Open Access Journals (Sweden)

    Binbing Ling

    2014-01-01

    Full Text Available Poor prognosis for late-stage, high-grade, and recurrent cancers has been motivating cancer researchers to search for more efficient biomarkers to identify the onset of cancer. Recent advances in constructing and dynamically analyzing biomolecular networks for different types of cancer have provided a promising novel strategy to detect tumorigenesis and metastasis. The observation of different biomolecular networks associated with normal and cancerous states led us to hypothesize that correlations for gene expressions could serve as valid indicators of early cancer development. In this pilot study, we tested our hypothesis by examining whether the mRNA expressions of three randomly selected cancer-related genes PIK3C3, PIM3, and PTEN were correlated during cancer progression and the correlation coefficients could be used for cancer diagnosis. Strong correlations (0.68≤r≤1.0 were observed between PIK3C3 and PIM3 in breast cancer, between PIK3C3 and PTEN in breast and ovary cancers, and between PIM3 and PTEN in breast, kidney, liver, and thyroid cancers during disease progression, implicating that the correlations for cancer network gene expressions could serve as a supplement to current clinical biomarkers, such as cancer antigens, for early cancer diagnosis.

  7. Atypical and Malignant Meningioma: Outcome and Prognostic Factors in 119 Irradiated Patients. A Multicenter, Retrospective Study of the Rare Cancer Network

    International Nuclear Information System (INIS)

    Purpose: To retrospectively analyze and assess the outcomes and prognostic factors in a large number of patients with atypical and malignant meningiomas. Methods and Materials: Ten academic medical centers participating in this Rare Cancer Network contributed 119 cases of patients with atypical or malignant meningiomas treated with external beam radiotherapy (EBRT) after surgery or for recurrence. Eligibility criteria were histologically proven atypical or anaplastic (malignant) meningioma (World Health Organization Grade 2 and 3) treated with fractionated EBRT after initial resection or for recurrence, and age >18 years. Sex ratio (male/female) was 1.3, and mean (±SD) age was 57.6 ± 12 years. Surgery was macroscopically complete (Simpson Grades 1-3) in 71% of patients; histology was atypical and malignant in 69% and 31%, respectively. Mean dose of EBRT was 54.6 ± 5.1 Gy (range, 40-66 Gy). Median follow-up was 4.1 years. Results: The 5- and 10-year actuarial overall survival rates were 65% and 51%, respectively, and were significantly influenced by age >60 years (p = 0.005), Karnofsky performance status (KPS) (p = 0.01), and high mitotic rate (p = 0.047) on univariate analysis. On multivariate analysis age >60 years (p = 0.001) and high mitotic rate (p = 0.02) remained significant adverse prognostic factors. The 5- and 10-year disease-free survival rates were 58% and 48%, respectively, and were significantly influenced by KPS (p 0.04) and high mitotic rate (p = 0.003) on univariate analysis. On multivariate analysis only high mitotic rate (p = 0.003) remained a significant prognostic factor. Conclusions: In this multicenter retrospective study, age, KPS, and mitotic rate influenced outcome. Multicenter prospective studies are necessary to clarify the management and prognostic factors of such a rare disease

  8. The Northern Appalachia Cancer Network: Changing Cancer Research, Changing People's Lives

    Science.gov (United States)

    Lengerich, Eugene J.; Kluhsman, Brenda C.; Bencivenga, Marcyann M.; Lesko, Samuel M.; Garcia-Dominic, Oralia; Aumiller, Betsy B.; Anderson, Marcia

    2010-01-01

    The Northern Appalachia Cancer Network (NACN) is a community-academic partnership to develop, implement, and evaluate evidence-based interventions intended to reduce the burden of cancer in Appalachian Pennsylvania and New York. The NACN began in 1992 as a loose network of community coalitions intended to implement local programs for cancer…

  9. Childhood Cancer Survivor Study: An Overview

    Science.gov (United States)

    ... Cancers of Childhood Treatment Childhood Cancer Genomics Research Childhood Cancer Survivor Study: An Overview In 2016, it ... Late Effects of Treatment for Childhood Cancer .) The Childhood Cancer Survivor Study ( CCSS ), funded by the National ...

  10. Studying Dynamics in Business Networks

    DEFF Research Database (Denmark)

    Andersen, Poul Houman; Anderson, Helen; Havila, Virpi; Halinen-Havila, Aino

    1998-01-01

    This paper develops a theory on network dynamics using the concepts of role and position from sociological theory. Moreover, the theory is further tested using case studies from Denmark and Finland......This paper develops a theory on network dynamics using the concepts of role and position from sociological theory. Moreover, the theory is further tested using case studies from Denmark and Finland...

  11. Dynamics and pattern formation in a cancer network with diffusion

    Science.gov (United States)

    Zheng, Qianqian; Shen, Jianwei

    2015-10-01

    Diffusion is ubiquitous inside cells, and it is capable of inducing spontaneous pattern formation in reaction-diffusion systems on a spatially homogeneous domain. In this paper, we investigate the dynamics of a diffusive cancer network regulated by microRNA and obtain the condition that the network undergoes a Hopf bifurcation and a Turing pattern bifurcation. In addition, we also develop the amplitude equation of the network model by using Taylor series expansion, multi-scaling and further expansion in powers of a small parameter. As a result of these analyses, we obtain the explicit condition on how the dynamics of the diffusive cancer network evolve. These results reveal that this system has rich dynamics, such as spotted stripe and hexagon patterns. The bifurcation diagram helps us understand the biological mechanism in the cancer network. Finally, numerical simulations confirm our analytical results.

  12. Modeling Cancer Metastasis using Global, Quantitative and Integrative Network Biology

    DEFF Research Database (Denmark)

    Schoof, Erwin; Erler, Janine

    understanding of molecular processes which are fundamental to tumorigenesis. In Article 1, we propose a novel framework for how cancer mutations can be studied by taking into account their effect at the protein network level. In Article 2, we demonstrate how global, quantitative data on phosphorylation dynamics...... can be generated using MS, and how this can be modeled using a computational framework for deciphering kinase-substrate dynamics. This framework is described in depth in Article 3, and covers the design of KinomeXplorer, which allows the prediction of kinases responsible for modulating observed...... phosphorylation dynamics in a given biological sample. In Chapter III, we move into Integrative Network Biology, where, by combining two fundamental technologies (MS & NGS), we can obtain more in-depth insights into the links between cellular phenotype and genotype. Article 4 describes the proof...

  13. Cancer core modules identification through genomic and transcriptomic changes correlation detection at network level

    Directory of Open Access Journals (Sweden)

    Li Wenting

    2012-06-01

    Full Text Available Abstract Background Identification of driver mutations among numerous genomic alternations remains a critical challenge to the elucidation of the underlying mechanisms of cancer. Because driver mutations by definition are associated with a greater number of cancer phenotypes compared to other mutations, we hypothesized that driver mutations could more easily be identified once the genotype-phenotype correlations are detected across tumor samples. Results In this study, we describe a novel network analysis to identify the driver mutation through integrating both cancer genomes and transcriptomes. Our method successfully identified a significant genotype-phenotype change correlation in all six solid tumor types and revealed core modules that contain both significantly enriched somatic mutations and aberrant expression changes specific to tumor development. Moreover, we found that the majority of these core modules contained well known cancer driver mutations, and that their mutated genes tended to occur at hub genes with central regulatory roles. In these mutated genes, the majority were cancer-type specific and exhibited a closer relationship within the same cancer type rather than across cancer types. The remaining mutated genes that exist in multiple cancer types led to two cancer type clusters, one cluster consisted of three neural derived or related cancer types, and the other cluster consisted of two adenoma cancer types. Conclusions Our approach can successfully identify the candidate drivers from the core modules. Comprehensive network analysis on the core modules potentially provides critical insights into convergent cancer development in different organs.

  14. MicroRNA regulation network in colorectal cancer metastasis

    Institute of Scientific and Technical Information of China (English)

    Jiao-Jiao; Zhou; Shu; Zheng; Li-Feng; Sun; Lei; Zheng

    2014-01-01

    Colorectal cancer is the third most common cancer worldwide. Metastasis is a major cause of colorectal cancer-related death. Mechanisms of metastasis remain largely obscure. MicroRNA is one of the most important epigenetic regulators by targeting mRNAs posttranscriptionally. Accumulated evidence has supported its significant role in the metastasis of colorectal cancer, including epithelial-mesenchymal transition and angiogenesis. Dissecting microRNAome potentially identifies specific microRNAs as biomarkers of colorectal cancer metastasis. Better understanding of the complex network of microRNAs in colorectal cancer metastasis provide new insights in the biological process of metastasis and in the potential targets for colorectal cancer therapies and for diagnosis of recurrent and metastatic colorectal cancer.

  15. An Integrative -omics Approach to Identify Functional Sub-Networks in Human Colorectal Cancer

    OpenAIRE

    Nibbe, Rod K; Koyutürk, Mehmet; Chance, Mark R.

    2010-01-01

    Emerging evidence indicates that gene products implicated in human cancers often cluster together in “hot spots” in protein-protein interaction (PPI) networks. Additionally, small sub-networks within PPI networks that demonstrate synergistic differential expression with respect to tumorigenic phenotypes were recently shown to be more accurate classifiers of disease progression when compared to single targets identified by traditional approaches. However, many of these studies rely exclusively...

  16. Predicting Retweeting Behavior on Breast Cancer Social Networks: Network and Content Characteristics.

    Science.gov (United States)

    Kim, Eunkyung; Hou, Jiran; Han, Jeong Yeob; Himelboim, Itai

    2016-04-01

    This study explored how social media, especially Twitter, serves as a viable place for communicating about cancer. Using a 2-step analytic method that combined social network analysis and computer-aided content analysis, this study investigated (a) how different types of network structures explain retweeting behavior and (b) which types of tweets are retweeted and why some messages generate more interaction among users. The analysis revealed that messages written by users who had a higher number of followers, a higher level of personal influence over the interaction, and closer relationships and similarities with other users were retweeted. In addition, a tweet with a higher level of positive emotion was more likely to be retweeted, whereas a tweet with a higher level of tentative words was less likely to be retweeted. These findings imply that Twitter can be an effective tool for the dissemination of health information. Theoretical and practical implications for psychosocial interventions for people with health concerns are discussed. PMID:27007166

  17. Radiology Network (ACRIN) - Cancer Imaging Program

    Science.gov (United States)

    ACRIN is funded to improve the quality and utility of imaging in cancer research and cancer care through expert, multi-institutional clinical evaluation of discoveries and technological innovations relevant to imaging science as applied in clinical oncology.

  18. Transcriptome network analysis reveals potential candidate genes for squamous lung cancer.

    Science.gov (United States)

    Bai, Jing; Hu, Sheng

    2012-01-01

    Squamous lung cancer is a common type of lung cancer; however, its mechanism of oncogenesis is still unknown. The aim of this study was to screen candidate genes of squamous lung cancer using a bioinformatics strategy and elucidate the mechanism of squamous lung cancer. Published microarray data of the GSE3268 series was obtained from Gene Expression Omnibus (GEO). Significance analysis of microarrays was performed using the software R, and differentially expressed genes by R analysis were harvested. The relationship between transcription factors and target genes in cancer were collected from the Transcriptional regulatory element database. A transcriptome network analysis method was used to construct gene regulation networks and select the candidate genes for squamous lung cancer. SPI1, FLI1, FOS, ETS2, EGR1 and PPARG were defined as candidate genes for squamous lung cancer by the transcriptome network analysis method. Among them, 5 genes had been reported to be involved in lung cancer, except SPI1 and FLI1. Effective recall on previous knowledge conferred strong confidence in these methods. It is demonstrated that transcriptome network analysis is useful in the identification of candidate genes in disease. PMID:21922129

  19. Cancer signaling networks and their implications for personalized medicine

    DEFF Research Database (Denmark)

    Creixell, Pau

    of the articles that are part of this PhD thesis (part II). In part III, we illustrate with an article that has been submitted recently, how next-generation sequencing data and mass spectrometry data can be combined to uncover genome-specific signaling networks. In part IV, I describe the two computational......) based on the integration of these cues; this integration and consequently the cellular decisions taken by cancer cells are arguably very distinct from the decisions that would be expected from non-cancer cells. Since cellular signaling networks and its different states are the computational circuits......Amongst the unique features of cancer cells perhaps the most crucial one is the change in the cellular decision-making process. While both non-cancer and cancer cells are constantly integrating different external cues that reach them and computing cellular decisions (e.g. proliferation or apoptosis...

  20. A Comprehensive Nuclear Receptor Network for Breast Cancer Cells

    Directory of Open Access Journals (Sweden)

    Ralf Kittler

    2013-02-01

    Full Text Available In breast cancer, nuclear receptors (NRs play a prominent role in governing gene expression, have prognostic utility, and are therapeutic targets. We built a regulatory map for 24 NRs, six chromatin state markers, and 14 breast-cancer-associated transcription factors (TFs that are expressed in the breast cancer cell line MCF-7. The resulting network reveals a highly interconnected regulatory matrix where extensive crosstalk occurs among NRs and other breast -cancer-associated TFs. We show that large numbers of factors are coordinately bound to highly occupied target regions throughout the genome, and these regions are associated with active chromatin state and hormone-responsive gene expression. This network also provides a framework for stratifying and predicting patient outcomes, and we use it to show that the peroxisome proliferator-activated receptor delta binds to a set of genes also regulated by the retinoic acid receptors and whose expression is associated with poor prognosis in breast cancer.

  1. Differential Regulatory Analysis Based on Coexpression Network in Cancer Research.

    Science.gov (United States)

    Li, Junyi; Li, Yi-Xue; Li, Yuan-Yuan

    2016-01-01

    With rapid development of high-throughput techniques and accumulation of big transcriptomic data, plenty of computational methods and algorithms such as differential analysis and network analysis have been proposed to explore genome-wide gene expression characteristics. These efforts are aiming to transform underlying genomic information into valuable knowledges in biological and medical research fields. Recently, tremendous integrative research methods are dedicated to interpret the development and progress of neoplastic diseases, whereas differential regulatory analysis (DRA) based on gene coexpression network (GCN) increasingly plays a robust complement to regular differential expression analysis in revealing regulatory functions of cancer related genes such as evading growth suppressors and resisting cell death. Differential regulatory analysis based on GCN is prospective and shows its essential role in discovering the system properties of carcinogenesis features. Here we briefly review the paradigm of differential regulatory analysis based on GCN. We also focus on the applications of differential regulatory analysis based on GCN in cancer research and point out that DRA is necessary and extraordinary to reveal underlying molecular mechanism in large-scale carcinogenesis studies. PMID:27597964

  2. Differential Regulatory Analysis Based on Coexpression Network in Cancer Research

    Directory of Open Access Journals (Sweden)

    Junyi Li

    2016-01-01

    Full Text Available With rapid development of high-throughput techniques and accumulation of big transcriptomic data, plenty of computational methods and algorithms such as differential analysis and network analysis have been proposed to explore genome-wide gene expression characteristics. These efforts are aiming to transform underlying genomic information into valuable knowledges in biological and medical research fields. Recently, tremendous integrative research methods are dedicated to interpret the development and progress of neoplastic diseases, whereas differential regulatory analysis (DRA based on gene coexpression network (GCN increasingly plays a robust complement to regular differential expression analysis in revealing regulatory functions of cancer related genes such as evading growth suppressors and resisting cell death. Differential regulatory analysis based on GCN is prospective and shows its essential role in discovering the system properties of carcinogenesis features. Here we briefly review the paradigm of differential regulatory analysis based on GCN. We also focus on the applications of differential regulatory analysis based on GCN in cancer research and point out that DRA is necessary and extraordinary to reveal underlying molecular mechanism in large-scale carcinogenesis studies.

  3. Interpreting cancer genomes using systematic host network perturbations by tumour virus proteins.

    Science.gov (United States)

    Rozenblatt-Rosen, Orit; Deo, Rahul C; Padi, Megha; Adelmant, Guillaume; Calderwood, Michael A; Rolland, Thomas; Grace, Miranda; Dricot, Amélie; Askenazi, Manor; Tavares, Maria; Pevzner, Samuel J; Abderazzaq, Fieda; Byrdsong, Danielle; Carvunis, Anne-Ruxandra; Chen, Alyce A; Cheng, Jingwei; Correll, Mick; Duarte, Melissa; Fan, Changyu; Feltkamp, Mariet C; Ficarro, Scott B; Franchi, Rachel; Garg, Brijesh K; Gulbahce, Natali; Hao, Tong; Holthaus, Amy M; James, Robert; Korkhin, Anna; Litovchick, Larisa; Mar, Jessica C; Pak, Theodore R; Rabello, Sabrina; Rubio, Renee; Shen, Yun; Singh, Saurav; Spangle, Jennifer M; Tasan, Murat; Wanamaker, Shelly; Webber, James T; Roecklein-Canfield, Jennifer; Johannsen, Eric; Barabási, Albert-László; Beroukhim, Rameen; Kieff, Elliott; Cusick, Michael E; Hill, David E; Münger, Karl; Marto, Jarrod A; Quackenbush, John; Roth, Frederick P; DeCaprio, James A; Vidal, Marc

    2012-07-26

    Genotypic differences greatly influence susceptibility and resistance to disease. Understanding genotype-phenotype relationships requires that phenotypes be viewed as manifestations of network properties, rather than simply as the result of individual genomic variations. Genome sequencing efforts have identified numerous germline mutations, and large numbers of somatic genomic alterations, associated with a predisposition to cancer. However, it remains difficult to distinguish background, or 'passenger', cancer mutations from causal, or 'driver', mutations in these data sets. Human viruses intrinsically depend on their host cell during the course of infection and can elicit pathological phenotypes similar to those arising from mutations. Here we test the hypothesis that genomic variations and tumour viruses may cause cancer through related mechanisms, by systematically examining host interactome and transcriptome network perturbations caused by DNA tumour virus proteins. The resulting integrated viral perturbation data reflects rewiring of the host cell networks, and highlights pathways, such as Notch signalling and apoptosis, that go awry in cancer. We show that systematic analyses of host targets of viral proteins can identify cancer genes with a success rate on a par with their identification through functional genomics and large-scale cataloguing of tumour mutations. Together, these complementary approaches increase the specificity of cancer gene identification. Combining systems-level studies of pathogen-encoded gene products with genomic approaches will facilitate the prioritization of cancer-causing driver genes to advance the understanding of the genetic basis of human cancer. PMID:22810586

  4. Breast cancer stem cells, cytokine networks, and the tumor microenvironment

    OpenAIRE

    Korkaya, Hasan; Liu, Suling; Wicha, Max S.

    2011-01-01

    Many tumors, including breast cancer, are maintained by a subpopulation of cells that display stem cell properties, mediate metastasis, and contribute to treatment resistance. These cancer stem cells (CSCs) are regulated by complex interactions with the components of the tumor microenvironment — including mesenchymal stem cells, adipocytes, tumor associated fibroblasts, endothelial cells, and immune cells — through networks of cytokines and growth factors. Since these components have a direct...

  5. Evaluation of a community-academic partnership: lessons from Latinos in a network for cancer control.

    Science.gov (United States)

    Corbin, J Hope; Fernandez, Maria E; Mullen, Patricia D

    2015-05-01

    Established in 2002, Latinos in a Network for Cancer Control is a community-academic network supported by the Centers for Disease Control and Prevention and the National Cancer Institute. The network includes >130 individuals from 65 community and academic organizations committed to reducing cancer-related health disparities. Using an empirically derived systems model--the Bergen Model of Collaborative Functioning--as the analytic frame, we interviewed 19 partners to identify challenges and successful processes. Findings indicated that sustained partner interaction created "meaningful relationships" that were routinely called on for collaboration. The leadership was regarded positively on vision, charisma, and capacity. Limitations included overreliance on a single leader. Suggestions supported more delegation of decision making, consistent communication, and more equitable resource distribution. The study highlighted new insights into dynamics of collaboration: Greater inclusiveness of inputs (partners, finances, mission) and loosely defined roles and structure produced strong connections but less network-wide productivity (output). Still, this profile enabled the creation of more tightly defined and highly productive subgroups, with clear goals and roles but less inclusive of inputs than the larger network. Important network outputs included practice-based research publications, cancer control intervention materials, and training to enhance the use of evidence-based interventions, as well as continued and diversified funding. PMID:25395057

  6. Altered resting state functional brain network topology in chemotherapy-treated breast cancer survivors

    OpenAIRE

    Bruno, Jennifer; Hosseini, SM Hadi; Kesler, Shelli

    2012-01-01

    Many women with breast cancer, especially those treated with chemotherapy, experience cognitive decline due in part to neurotoxic brain injury. Recent neuroimaging studies suggest widespread brain structural abnormalities pointing to disruption of large-scale brain networks. We applied resting state functional magnetic resonance imaging and graph theoretical analysis to examine the connectome in breast cancer survivors treated with chemotherapy relative to healthy comparison women. Compared t...

  7. Quantitative proteomics reveals middle infrared radiation-interfered networks in breast cancer cells.

    Science.gov (United States)

    Chang, Hsin-Yi; Li, Ming-Hua; Huang, Tsui-Chin; Hsu, Chia-Lang; Tsai, Shang-Ru; Lee, Si-Chen; Huang, Hsuan-Cheng; Juan, Hsueh-Fen

    2015-02-01

    Breast cancer is one of the leading cancer-related causes of death worldwide. Treatment of triple-negative breast cancer (TNBC) is complex and challenging, especially when metastasis has developed. In this study, we applied infrared radiation as an alternative approach for the treatment of TNBC. We used middle infrared (MIR) with a wavelength range of 3-5 μm to irradiate breast cancer cells. MIR significantly inhibited cell proliferation in several breast cancer cells but did not affect the growth of normal breast epithelial cells. We performed iTRAQ-coupled LC-MS/MS analysis to investigate the MIR-triggered molecular mechanisms in breast cancer cells. A total of 1749 proteins were identified, quantified, and subjected to functional enrichment analysis. From the constructed functionally enriched network, we confirmed that MIR caused G2/M cell cycle arrest, remodeled the microtubule network to an astral pole arrangement, altered the actin filament formation and focal adhesion molecule localization, and reduced cell migration activity and invasion ability. Our results reveal the coordinative effects of MIR-regulated physiological responses in concentrated networks, demonstrating the potential implementation of infrared radiation in breast cancer therapy. PMID:25556991

  8. Artificial neural networks as classification and diagnostic tools for lymph node-negative breast cancers

    Energy Technology Data Exchange (ETDEWEB)

    Eswari J, Satya; Chandrakar, Neha [National Institute of Technology Raipur, Raipur (India)

    2016-04-15

    Artificial neural networks (ANNs) can be used to develop a technique to classify lymph node negative breast cancer that is prone to distant metastases based on gene expression signatures. The neural network used is a multilayered feed forward network that employs back propagation algorithm. Once trained with DNA microarraybased gene expression profiles of genes that were predictive of distant metastasis recurrence of lymph node negative breast cancer, the ANNs became capable of correctly classifying all samples and recognizing the genes most appropriate to the classification. To test the ability of the trained ANN models in recognizing lymph node negative breast cancer, we analyzed additional idle samples that were not used beforehand for the training procedure and obtained the correctly classified result in the validation set. For more substantial result, bootstrapping of training and testing dataset was performed as external validation. This study illustrates the potential application of ANN for breast tumor diagnosis and the identification of candidate targets in patients for therapy.

  9. Phosphoproteome Integration Reveals Patient-Specific Networks in Prostate Cancer.

    OpenAIRE

    Drake, JM; Paull, EO; Graham, NA; Lee, JK; Smith, BA; Titz, B; Stoyanova, T; Faltermeier, CM; Uzunangelov, V; Carlin,, R.; Fleming, DT; Wong, CK; Newton, Y; Sudha, S; Vashisht, AA

    2016-01-01

    We used clinical tissue from lethal metastatic castration-resistant prostate cancer (CRPC) patients obtained at rapid autopsy to evaluate diverse genomic, transcriptomic, and phosphoproteomic datasets for pathway analysis. Using Tied Diffusion through Interacting Events (TieDIE), we integrated differentially expressed master transcriptional regulators, functionally mutated genes, and differentially activated kinases in CRPC tissues to synthesize a robust signaling network consisting of drugga...

  10. Capillary Network, Cancer and Kleiber Law

    CERN Document Server

    Dattoli, G; Licciardi, S; Guiot, C; Deisboeck, T S

    2014-01-01

    We develop a heuristic model embedding Kleiber and Murray laws to describe mass growth, metastasis and vascularization in cancer. We analyze the relevant dynamics using different evolution equations (Verhulst, Gompertz and others). Their extension to reaction diffusion equation of the Fisher type is then used to describe the relevant metastatic spreading in space. Regarding this last point, we suggest that cancer diffusion may be regulated by Levy flights mechanisms and discuss the possibility that the associated reaction diffusion equations are of the fractional type, with the fractional coefficient being determined by the fractal nature of the capillary evolution.

  11. Performance Analysis of Network Model to Identify Healthy and Cancerous Colon Genes.

    Science.gov (United States)

    Roy, Tanusree; Barman, Soma

    2016-03-01

    Modeling of cancerous and healthy Homo Sapiens colon gene using electrical network is proposed to study their behavior. In this paper, the individual amino acid models are designed using hydropathy index of amino acid side chain. The phase and magnitude responses of genes are examined to screen out cancer from healthy genes. The performance of proposed modeling technique is judged using various performance measurement metrics such as accuracy, sensitivity, specificity, etc. The network model performance is increased with frequency, which is analyzed using the receiver operating characteristic curve. The accuracy of the model is tested on colon genes and achieved maximum 97% at 10-MHz frequency. PMID:25730835

  12. Network of microRNAs-mRNAs Interactions in Pancreatic Cancer

    Directory of Open Access Journals (Sweden)

    Elnaz Naderi

    2014-01-01

    Full Text Available Background. MicroRNAs are small RNA molecules that regulate the expression of certain genes through interaction with mRNA targets and are mainly involved in human cancer. This study was conducted to make the network of miRNAs-mRNAs interactions in pancreatic cancer as the fourth leading cause of cancer death. Methods. 56 miRNAs that were exclusively expressed and 1176 genes that were downregulated or silenced in pancreas cancer were extracted from beforehand investigations. MiRNA–mRNA interactions data analysis and related networks were explored using MAGIA tool and Cytoscape 3 software. Functional annotations of candidate genes in pancreatic cancer were identified by DAVID annotation tool. Results. This network is made of 217 nodes for mRNA, 15 nodes for miRNA, and 241 edges that show 241 regulations between 15 miRNAs and 217 target genes. The miR-24 was the most significantly powerful miRNA that regulated series of important genes. ACVR2B, GFRA1, and MTHFR were significant target genes were that downregulated. Conclusion. Although the collected previous data seems to be a treasure trove, there was no study simultaneous to analysis of miRNAs and mRNAs interaction. Network of miRNA-mRNA interactions will help to corroborate experimental remarks and could be used to refine miRNA target predictions for developing new therapeutic approaches.

  13. A network security case study

    International Nuclear Information System (INIS)

    This paper reports on a study to validate the Graphical Network Representation (GRPHREP) model which is being conducted on the Los Alamos National Laboratory Integrated Computer Network (ICN). The GRPHREP model is a software system application based on graph theory and object-oriented programming methodologies. It codified the Department of Energy (DOE) Order 5637.1, which is concerned with classified computer secret policy, restrictions, and requirements. The Los Alamos ICN is required to control access to and support large-scale scientific and administrative computing. Thus, large-scale scientific and administrative computing. Thus we felt that this large, complex, and dynamic network would provide a good test for the graphical and functional capabilities of the model. Furthermore, the ICN is composed of multiple partitions that reflect the sensitivity and classification of the computation (data) and designate the required clearance level for the user

  14. Immunological network signatures of cancer progression and survival

    Directory of Open Access Journals (Sweden)

    Lavelle Timothy J

    2011-03-01

    Full Text Available Abstract Background The immune contribution to cancer progression is complex and difficult to characterize. For example in tumors, immune gene expression is detected from the combination of normal, tumor and immune cells in the tumor microenvironment. Profiling the immune component of tumors may facilitate the characterization of the poorly understood roles immunity plays in cancer progression. However, the current approaches to analyze the immune component of a tumor rely on incomplete identification of immune factors. Methods To facilitate a more comprehensive approach, we created a ranked immunological relevance score for all human genes, developed using a novel strategy that combines text mining and information theory. We used this score to assign an immunological grade to gene expression profiles, and thereby quantify the immunological component of tumors. This immunological relevance score was benchmarked against existing manually curated immune resources as well as high-throughput studies. To further characterize immunological relevance for genes, the relevance score was charted against both the human interactome and cancer information, forming an expanded interactome landscape of tumor immunity. We applied this approach to expression profiles in melanomas, thus identifying and grading their immunological components, followed by identification of their associated protein interactions. Results The power of this strategy was demonstrated by the observation of early activation of the adaptive immune response and the diversity of the immune component during melanoma progression. Furthermore, the genome-wide immunological relevance score classified melanoma patient groups, whose immunological grade correlated with clinical features, such as immune phenotypes and survival. Conclusions The assignment of a ranked immunological relevance score to all human genes extends the content of existing immune gene resources and enriches our understanding

  15. The National Cancer Institute's Physical Sciences - Oncology Network

    Science.gov (United States)

    Espey, Michael Graham

    In 2009, the NCI launched the Physical Sciences - Oncology Centers (PS-OC) initiative with 12 Centers (U54) funded through 2014. The current phase of the Program includes U54 funded Centers with the added feature of soliciting new Physical Science - Oncology Projects (PS-OP) U01 grant applications through 2017; see NCI PAR-15-021. The PS-OPs, individually and along with other PS-OPs and the Physical Sciences-Oncology Centers (PS-OCs), comprise the Physical Sciences-Oncology Network (PS-ON). The foundation of the Physical Sciences-Oncology initiative is a high-risk, high-reward program that promotes a `physical sciences perspective' of cancer and fosters the convergence of physical science and cancer research by forming transdisciplinary teams of physical scientists (e.g., physicists, mathematicians, chemists, engineers, computer scientists) and cancer researchers (e.g., cancer biologists, oncologists, pathologists) who work closely together to advance our understanding of cancer. The collaborative PS-ON structure catalyzes transformative science through increased exchange of people, ideas, and approaches. PS-ON resources are leveraged to fund Trans-Network pilot projects to enable synergy and cross-testing of experimental and/or theoretical concepts. This session will include a brief PS-ON overview followed by a strategic discussion with the APS community to exchange perspectives on the progression of trans-disciplinary physical sciences in cancer research.

  16. Design The Cervical Cancer Detector Use The Artificial Neural Network

    International Nuclear Information System (INIS)

    Cancer is one of the contagious diseases that become a public health issue, both in the world and in Indonesia. In the world, 12% of all deaths caused by cancer and is the second killer after cardiovascular disease. Early detection using the IVA is a practical and inexpensive (only requiring acetic acid). However, the accuracy of the method is quite low, as it can not detect the stage of the cancer. While other methods have a better sensitivity than the IVA method, is a method of PAP smear. However, this method is relatively expensive, and requires an experienced pathologist-cytologist. According to the case above, Considered important to make the cancer cervics detector that is used to detect the abnormality and cervical cancer stage and consists of a digital microscope, as well as a computer application based on artificial neural network. The use of cervical cancer detector software and hardware are integrated each other. After the specifications met, the steps to design the cervical cancer detection are: Modifying a conventional microscope by adding a lens, image recording, and the lights, Programming the tools, designing computer applications, Programming features abnormality detection and staging of cancer.

  17. Design The Cervical Cancer Detector Use The Artificial Neural Network

    Science.gov (United States)

    Intan Af'idah, Dwi; Didik Widianto, Eko; Setyawan, Budi

    2013-06-01

    Cancer is one of the contagious diseases that become a public health issue, both in the world and in Indonesia. In the world, 12% of all deaths caused by cancer and is the second killer after cardiovascular disease. Early detection using the IVA is a practical and inexpensive (only requiring acetic acid). However, the accuracy of the method is quite low, as it can not detect the stage of the cancer. While other methods have a better sensitivity than the IVA method, is a method of PAP smear. However, this method is relatively expensive, and requires an experienced pathologist-cytologist. According to the case above, Considered important to make the cancer cervics detector that is used to detect the abnormality and cervical cancer stage and consists of a digital microscope, as well as a computer application based on artificial neural network. The use of cervical cancer detector software and hardware are integrated each other. After the specifications met, the steps to design the cervical cancer detection are: Modifying a conventional microscope by adding a lens, image recording, and the lights, Programming the tools, designing computer applications, Programming features abnormality detection and staging of cancer.

  18. Network for Translational Research - Cancer Imaging Program

    Science.gov (United States)

    Cooperative agreement (U54) awards to establish Specialized Research Resource Centers that will participate as members of a network of inter-disciplinary, inter-institutional research teams for the purpose of supporting translational research in optical imaging and/or spectroscopy in vivo, with an emphasis on multiple modalities.

  19. Network-based reading system for lung cancer screening CT

    Science.gov (United States)

    Fujino, Yuichi; Fujimura, Kaori; Nomura, Shin-ichiro; Kawashima, Harumi; Tsuchikawa, Megumu; Matsumoto, Toru; Nagao, Kei-ichi; Uruma, Takahiro; Yamamoto, Shinji; Takizawa, Hotaka; Kuroda, Chikazumi; Nakayama, Tomio

    2006-03-01

    This research aims to support chest computed tomography (CT) medical checkups to decrease the death rate by lung cancer. We have developed a remote cooperative reading system for lung cancer screening over the Internet, a secure transmission function, and a cooperative reading environment. It is called the Network-based Reading System. A telemedicine system involves many issues, such as network costs and data security if we use it over the Internet, which is an open network. In Japan, broadband access is widespread and its cost is the lowest in the world. We developed our system considering human machine interface and security. It consists of data entry terminals, a database server, a computer aided diagnosis (CAD) system, and some reading terminals. It uses a secure Digital Imaging and Communication in Medicine (DICOM) encrypting method and Public Key Infrastructure (PKI) based secure DICOM image data distribution. We carried out an experimental trial over the Japan Gigabit Network (JGN), which is the testbed for the Japanese next-generation network, and conducted verification experiments of secure screening image distribution, some kinds of data addition, and remote cooperative reading. We found that network bandwidth of about 1.5 Mbps enabled distribution of screening images and cooperative reading and that the encryption and image distribution methods we proposed were applicable to the encryption and distribution of general DICOM images via the Internet.

  20. Predicting post-treatment survivability of patients with breast cancer using Artificial Neural Network methods.

    Science.gov (United States)

    Wang, Tan-Nai; Cheng, Chung-Hao; Chiu, Hung-Wen

    2013-01-01

    In the last decade, the use of data mining techniques has become widely accepted in medical applications, especially in predicting cancer patients' survival. In this study, we attempted to train an Artificial Neural Network (ANN) to predict the patients' five-year survivability. Breast cancer patients who were diagnosed and received standard treatment in one hospital during 2000 to 2003 in Taiwan were collected for train and test the ANN. There were 604 patients in this dataset excluding died not in breast cancer. Among them 140 patients died within five years after their first radiotherapy treatment. The artificial neural networks were created by STATISTICA(®) software. Five variables (age, surgery and radiotherapy type, tumor size, regional lymph nodes, distant metastasis) were selected as the input features for ANN to predict the five-year survivability of breast cancer patients. We trained 100 artificial neural networks and chose the best one to analyze. The accuracy rate is 85% and area under the receiver operating characteristic (ROC) curve is 0.79. It shows that artificial neural network is a good tool to predict the five-year survivability of breast cancer patients. PMID:24109931

  1. Transcription factor FOXA2-centered transcriptional regulation network in non-small cell lung cancer

    Energy Technology Data Exchange (ETDEWEB)

    Jang, Sang-Min; An, Joo-Hee; Kim, Chul-Hong; Kim, Jung-Woong, E-mail: jungkim@cau.ac.kr; Choi, Kyung-Hee, E-mail: khchoi@cau.ac.kr

    2015-08-07

    Lung cancer is the leading cause of cancer-mediated death. Although various therapeutic approaches are used for lung cancer treatment, these mainly target the tumor suppressor p53 transcription factor, which is involved in apoptosis and cell cycle arrest. However, p53-targeted therapies have limited application in lung cancer, since p53 is found to be mutated in more than half of lung cancers. In this study, we propose tumor suppressor FOXA2 as an alternative target protein for therapies against lung cancer and reveal a possible FOXA2-centered transcriptional regulation network by identifying new target genes and binding partners of FOXA2 by using various screening techniques. The genes encoding Glu/Asp-rich carboxy-terminal domain 2 (CITED2), nuclear receptor subfamily 0, group B, member 2 (NR0B2), cell adhesion molecule 1 (CADM1) and BCL2-associated X protein (BAX) were identified as putative target genes of FOXA2. Additionally, the proteins including highly similar to heat shock protein HSP 90-beta (HSP90A), heat shock 70 kDa protein 1A variant (HSPA1A), histone deacetylase 1 (HDAC1) and HDAC3 were identified as novel interacting partners of FOXA2. Moreover, we showed that FOXA2-dependent promoter activation of BAX and p21 genes is significantly reduced via physical interactions between the identified binding partners and FOXA2. These results provide opportunities to understand the FOXA2-centered transcriptional regulation network and novel therapeutic targets to modulate this network in p53-deficient lung cancer. - Highlights: • Identification of new target genes of FOXA2. • Identifications of novel interaction proteins of FOXA2. • Construction of FOXA2-centered transcriptional regulatory network in non-small cell lung cancer.

  2. Transcription factor FOXA2-centered transcriptional regulation network in non-small cell lung cancer

    International Nuclear Information System (INIS)

    Lung cancer is the leading cause of cancer-mediated death. Although various therapeutic approaches are used for lung cancer treatment, these mainly target the tumor suppressor p53 transcription factor, which is involved in apoptosis and cell cycle arrest. However, p53-targeted therapies have limited application in lung cancer, since p53 is found to be mutated in more than half of lung cancers. In this study, we propose tumor suppressor FOXA2 as an alternative target protein for therapies against lung cancer and reveal a possible FOXA2-centered transcriptional regulation network by identifying new target genes and binding partners of FOXA2 by using various screening techniques. The genes encoding Glu/Asp-rich carboxy-terminal domain 2 (CITED2), nuclear receptor subfamily 0, group B, member 2 (NR0B2), cell adhesion molecule 1 (CADM1) and BCL2-associated X protein (BAX) were identified as putative target genes of FOXA2. Additionally, the proteins including highly similar to heat shock protein HSP 90-beta (HSP90A), heat shock 70 kDa protein 1A variant (HSPA1A), histone deacetylase 1 (HDAC1) and HDAC3 were identified as novel interacting partners of FOXA2. Moreover, we showed that FOXA2-dependent promoter activation of BAX and p21 genes is significantly reduced via physical interactions between the identified binding partners and FOXA2. These results provide opportunities to understand the FOXA2-centered transcriptional regulation network and novel therapeutic targets to modulate this network in p53-deficient lung cancer. - Highlights: • Identification of new target genes of FOXA2. • Identifications of novel interaction proteins of FOXA2. • Construction of FOXA2-centered transcriptional regulatory network in non-small cell lung cancer

  3. Prediction of oncogenic interactions and cancer-related signaling networks based on network topology.

    Directory of Open Access Journals (Sweden)

    Marcio Luis Acencio

    Full Text Available Cancer has been increasingly recognized as a systems biology disease since many investigators have demonstrated that this malignant phenotype emerges from abnormal protein-protein, regulatory and metabolic interactions induced by simultaneous structural and regulatory changes in multiple genes and pathways. Therefore, the identification of oncogenic interactions and cancer-related signaling networks is crucial for better understanding cancer. As experimental techniques for determining such interactions and signaling networks are labor-intensive and time-consuming, the development of a computational approach capable to accomplish this task would be of great value. For this purpose, we present here a novel computational approach based on network topology and machine learning capable to predict oncogenic interactions and extract relevant cancer-related signaling subnetworks from an integrated network of human genes interactions (INHGI. This approach, called graph2sig, is twofold: first, it assigns oncogenic scores to all interactions in the INHGI and then these oncogenic scores are used as edge weights to extract oncogenic signaling subnetworks from INHGI. Regarding the prediction of oncogenic interactions, we showed that graph2sig is able to recover 89% of known oncogenic interactions with a precision of 77%. Moreover, the interactions that received high oncogenic scores are enriched in genes for which mutations have been causally implicated in cancer. We also demonstrated that graph2sig is potentially useful in extracting oncogenic signaling subnetworks: more than 80% of constructed subnetworks contain more than 50% of original interactions in their corresponding oncogenic linear pathways present in the KEGG PATHWAY database. In addition, the potential oncogenic signaling subnetworks discovered by graph2sig are supported by experimental evidence. Taken together, these results suggest that graph2sig can be a useful tool for investigators involved

  4. Stacking denoising auto-encoders in a deep network to segment the brainstem on MRI in brain cancer patients: A clinical study.

    Science.gov (United States)

    Dolz, Jose; Betrouni, Nacim; Quidet, Mathilde; Kharroubi, Dris; Leroy, Henri A; Reyns, Nicolas; Massoptier, Laurent; Vermandel, Maximilien

    2016-09-01

    Delineation of organs at risk (OARs) is a crucial step in surgical and treatment planning in brain cancer, where precise OARs volume delineation is required. However, this task is still often manually performed, which is time-consuming and prone to observer variability. To tackle these issues a deep learning approach based on stacking denoising auto-encoders has been proposed to segment the brainstem on magnetic resonance images in brain cancer context. Additionally to classical features used in machine learning to segment brain structures, two new features are suggested. Four experts participated in this study by segmenting the brainstem on 9 patients who underwent radiosurgery. Analysis of variance on shape and volume similarity metrics indicated that there were significant differences (p<0.05) between the groups of manual annotations and automatic segmentations. Experimental evaluation also showed an overlapping higher than 90% with respect to the ground truth. These results are comparable, and often higher, to those of the state of the art segmentation methods but with a considerably reduction of the segmentation time. PMID:27236370

  5. Berberine alters epigenetic modifications, disrupts microtubule network, and modulates HPV-18 E6-E7 oncoproteins by targeting p53 in cervical cancer cell HeLa: a mechanistic study including molecular docking.

    Science.gov (United States)

    Saha, Santu Kumar; Khuda-Bukhsh, Anisur Rahman

    2014-12-01

    Increased evidence of chemo-resistance, toxicity and carcinogenicity necessitates search for alternative approaches for determining next generation cancer therapeutics and targets. We therefore tested the efficacy of plant alkaloid berberine on human papilloma virus (HPV) -18 positive cervical cancer cell HeLa systematically-involving certain cellular, viral and epigenetic factors. We observed disruptions of microtubule network and changes in membrane topology due to berberine influx through confocal and atomic force microscopies (AFM). We examined nuclear uptake, internucleosomal DNA damages, mitochondrial membrane potential (MMP) alterations and cell migration assays to validate possible mode of cell death events. Analytical data on interactions of berberine with pBR322 through fourier transform infrared (FTIR) and gel migration assay strengthen berberine׳s biologically significant DNA binding abilities. We measured cellular uptake, DNA ploidy and DNA strand-breaks through fluorescence activated cell sorting (FACS). To elucidate epigenetic modifications, in support of DNA binding associated processes, if any, we conducted methylation-specific restriction enzyme (RE) assay, methylation specific-PCR (MSP) and expression studies of histone proteins. We also analyzed differential interactions and localization of cellular tumor suppressor p53 and viral oncoproteins HPV-18 E6-E7 through siRNA approach. We further made in-silico approaches to determine possible binding sites of berberine on histone proteins. Overall results indicated cellular uptake of berberine through cell membrane depolarization causing disruption of microtubule networks and its biological DNA binding abilities that probably contributed to epigenetic modifications. Results of modulation in p53 and viral oncoproteins HPV-18 E6-E7 by berberine further proved its potential as a promising chemotherapeutic agent in cervical cancer. PMID:25448308

  6. Application of Artificial Neural Network in Predicting the Survival Rate of Gastric Cancer Patients

    Directory of Open Access Journals (Sweden)

    A Biglarian

    2011-06-01

    Full Text Available "nBackground: The aim of this study was to predict the survival rate of Iranian gastric cancer patients using the Cox proportional hazard and artificial neural network models as well as comparing the ability of these approaches in predicting the survival of these patients."nMethods: In this historical cohort study, the data gathered from 436 registered gastric cancer patients who have had surgery between 2002 and 2007 at the Taleghani Hospital (a referral center for gastrointestinal cancers, Tehran, Iran, to predict the survival time using Cox proportional hazard and artificial neural network techniques. "nResults: The estimated one-year, two-year, three-year, four-year and five-year survival rates of the patients were 77.9%, 53.1%, 40.8%, 32.0%, and 17.4%, respectively. The Cox regression analysis revealed that the age at diag-nosis, high-risk behaviors, extent of wall penetration, distant metastasis and tumor stage were significantly associated with the survival rate of the patients. The true prediction of neural network was 83.1%, and for Cox regression model, 75.0%."nConclusion: The present study shows that neural network model is a more powerful statistical tool in predicting the survival rate of the gastric cancer patients compared to Cox proportional hazard regression model. Therefore, this model recommended for the predicting the survival rate of these patients.

  7. Detection of gene communities in multi-networks reveals cancer drivers

    Science.gov (United States)

    Cantini, Laura; Medico, Enzo; Fortunato, Santo; Caselle, Michele

    2015-12-01

    We propose a new multi-network-based strategy to integrate different layers of genomic information and use them in a coordinate way to identify driving cancer genes. The multi-networks that we consider combine transcription factor co-targeting, microRNA co-targeting, protein-protein interaction and gene co-expression networks. The rationale behind this choice is that gene co-expression and protein-protein interactions require a tight coregulation of the partners and that such a fine tuned regulation can be obtained only combining both the transcriptional and post-transcriptional layers of regulation. To extract the relevant biological information from the multi-network we studied its partition into communities. To this end we applied a consensus clustering algorithm based on state of art community detection methods. Even if our procedure is valid in principle for any pathology in this work we concentrate on gastric, lung, pancreas and colorectal cancer and identified from the enrichment analysis of the multi-network communities a set of candidate driver cancer genes. Some of them were already known oncogenes while a few are new. The combination of the different layers of information allowed us to extract from the multi-network indications on the regulatory pattern and functional role of both the already known and the new candidate driver genes.

  8. Exploring mechanisms of diet-colon cancer associations through candidate molecular interaction networks

    DEFF Research Database (Denmark)

    Westergaard, David; Li, Jun; Jensen, Kasper;

    2014-01-01

    -nutrient interactions. Here, we used colon cancer as a proof-of-concept for understanding key regulatory sites of diet on the disease pathway. Results: We started from a unique vantage point by having a database of 158 plants positively associated to colon cancer reduction and their molecular composition (similar to 3......,500 unique compounds). We generated a comprehensive picture of the interaction profile of these edible and non-edible plants with a predefined candidate colon cancer target space consisting of similar to 1,900 proteins. This knowledge allowed us to study systematically the key components in colon cancer that...... are targeted synergistically by phytochemicals and identify statistically significant and highly correlated protein networks that could be perturbed by dietary habits. Conclusion: We propose here a framework for interrogating the critical targets in colon cancer processes and identifying plant...

  9. Early Detection Research Network (EDRN) | Division of Cancer Prevention

    Science.gov (United States)

    http://edrn.nci.nih.gov/EDRN is a collaborative network that maintains comprehensive infrastructure and resources critical to the discovery, development and validation of biomarkers for cancer risk and early detection. The program comprises a public/private sector consortium to accelerate the development of biomarkers that will change medical practice, ensure data reproducibility, and adapt to the changing landscape of biomarker science.  | Comprehensive infrastructure and resources critical to discovery, development and validation of biomarkers for cancer risk and early detection.

  10. Inferring regulatory element landscapes and transcription factor networks from cancer methylomes.

    Science.gov (United States)

    Yao, Lijing; Shen, Hui; Laird, Peter W; Farnham, Peggy J; Berman, Benjamin P

    2015-01-01

    Recent studies indicate that DNA methylation can be used to identify transcriptional enhancers, but no systematic approach has been developed for genome-wide identification and analysis of enhancers based on DNA methylation. We describe ELMER (Enhancer Linking by Methylation/Expression Relationships), an R-based tool that uses DNA methylation to identify enhancers and correlates enhancer state with expression of nearby genes to identify transcriptional targets. Transcription factor motif analysis of enhancers is coupled with expression analysis of transcription factors to infer upstream regulators. Using ELMER, we investigated more than 2,000 tumor samples from The Cancer Genome Atlas. We identified networks regulated by known cancer drivers such as GATA3 and FOXA1 (breast cancer), SOX17 and FOXA2 (endometrial cancer), and NFE2L2, SOX2, and TP63 (squamous cell lung cancer). We also identified novel networks with prognostic associations, including RUNX1 in kidney cancer. We propose ELMER as a powerful new paradigm for understanding the cis-regulatory interface between cancer-associated transcription factors and their functional target genes. PMID:25994056

  11. Use of artificial neural networks in prostate cancer.

    Science.gov (United States)

    Errejon, A; Crawford, E D; Dayhoff, J; O'Donnell, C; Tewari, A; Finkelstein, J; Gamito, E J

    2001-01-01

    Artificial neural networks (ANNs) are a type of artificial intelligence software inspired by biological neuronal systems that can be used for nonlinear statistical modeling. In recent years, these applications have played an increasing role in predictive and classification modeling in medical research. We review the basic concepts behind ANNs and examine the role of this technology in selected applications in prostate cancer research. PMID:11790276

  12. Alliance Against Cancer, the network of Italian cancer centers bridging research and care.

    Science.gov (United States)

    De Paoli, Paolo; Ciliberto, Gennaro; Ferrarini, Manlio; Pelicci, PierGiuseppe; Dellabona, Paolo; De Lorenzo, Francesco; Mantovani, Alberto; Musto, Pellegrino; Opocher, Giuseppe; Picci, Piero; Ricciardi, Walter; De Maria, Ruggero

    2015-01-01

    Alliance Against Cancer (ACC) was established in Rome in 2002 as a consortium of six Italian comprehensive cancer centers (Founders). The aims of ACC were to promote a network among Italian oncologic institutions in order to develop specific, advanced projects in clinical and translational research. During the following years, many additional full and associate members joined ACC, that presently includes the National Institute of Health, 17 research-oriented hospitals, scientific and patient organizations. Furthermore, in the last three years ACC underwent a reorganization process that redesigned the structure, governance and major activities. The present goal of ACC is to achieve high standards of care across Italy, to implement and harmonize principles of modern personalized and precision medicine, by developing cost effective processes and to provide tailored information to cancer patients. We herein summarize some of the major initiatives that ACC is currently developing to reach its goal, including tumor genetic screening programs, establishment of clinical trial programs for cancer patients treated in Italian cancer centers, facilitate their access to innovative drugs under development, improve quality through an European accreditation process (European Organization of Cancer Institutes), and develop international partnerships. In conclusion, ACC is a growing organization, trying to respond to the need of networking in Italy and may contribute significantly to improve the way we face cancer in Europe. PMID:26578263

  13. Cooperation among cancer cells as public goods games on Voronoi networks.

    Science.gov (United States)

    Archetti, Marco

    2016-05-01

    Cancer cells produce growth factors that diffuse and sustain tumour proliferation, a form of cooperation that can be studied using mathematical models of public goods in the framework of evolutionary game theory. Cell populations, however, form heterogeneous networks that cannot be described by regular lattices or scale-free networks, the types of graphs generally used in the study of cooperation. To describe the dynamics of growth factor production in populations of cancer cells, I study public goods games on Voronoi networks, using a range of non-linear benefits that account for the known properties of growth factors, and different types of diffusion gradients. The results are surprisingly similar to those obtained on regular graphs and different from results on scale-free networks, revealing that network heterogeneity per se does not promote cooperation when public goods diffuse beyond one-step neighbours. The exact shape of the diffusion gradient is not crucial, however, whereas the type of non-linear benefit is an essential determinant of the dynamics. Public goods games on Voronoi networks can shed light on intra-tumour heterogeneity, the evolution of resistance to therapies that target growth factors, and new types of cell therapy. PMID:26930167

  14. A research about breast cancer detection using different neural networks and K-MICA algorithm

    Directory of Open Access Journals (Sweden)

    A A Kalteh

    2013-01-01

    Full Text Available Breast cancer is the second leading cause of death for women all over the world. The correct diagnosis of breast cancer is one of the major problems in the medical field. From the literature it has been found that different pattern recognition techniques can help them to improve in this domain. This paper presents a novel hybrid intelligent method for detection of breast cancer. The proposed method includes two main modules: Clustering module and the classifier module. In the clustering module, first the input data will be clustered by a new technique. This technique is a suitable combination of the modified imperialist competitive algorithm (MICA and K-means algorithm. Then the Euclidean distance of each pattern is computed from the determined clusters. The classifier module determines the membership of the patterns using the computed distance. In this module, several neural networks, such as the multilayer perceptron, probabilistic neural networks and the radial basis function neural networks are investigated. Using the experimental study, we choose the best classifier in order to recognize the breast cancer. The proposed system is tested on Wisconsin Breast Cancer (WBC database and the simulation results show that the recommended system has high accuracy.

  15. Captured voices in cancer: experiences from networking between individuals with experiential and professional knowledge

    Directory of Open Access Journals (Sweden)

    Nilbert Mef

    2007-02-01

    Full Text Available Abstract Background Patients needs and experiences attract increasing attention within health care. In order to generate knowledge about the voices that emerge from collaborative experiences between members of patient associations for cancer patients (PACP and health care professionals (HCPs, we studied a permanent network aimed at improving cancer care through increased attention to the cancer patients' view and experiences. Methods Open-ended interviews were carried out with 16 individuals; 6 PACP members and 10 HCPs, and after transcription the texts were analysed by inductive content analysis. Results Four voices, which represent various experiences from networking, were identified; the hesitant voice, the enlightened voice, the liberated voice, and the representative voice. The hesitant voice reflects uncertainty experienced when the participants were exposed to different views and opinions within the network. The enlightened voice reflects new points of view and gain of knowledge. The liberated voice signifies trust, balance, and confidence related to individual experiences and responsibilities being viewed in a broader perspective. The representative voice is derived from the transformation of experiences and responsibilities through insight, understanding, and new perspectives. Conclusion Networking between representatives for PACPs and HCPs may help the participants manage uncertainty, strengthen the patient's perspective and provide new views on common issues. The different voices identified in this study demonstrate that both PACP members and HCPs distanced themselves from their individual experiences in order to be perceived as unselfish and knowledgeable within the network. Although the climate was characterized by trustfulness, the members' unique positions need to be defined in order to obtain an optimal balance between the groups and prevent members' patient experiences of losing their character by learning to much from the HCPs

  16. Social networks, social support mechanisms, and quality of life after breast cancer diagnosis.

    Science.gov (United States)

    Kroenke, Candyce H; Kwan, Marilyn L; Neugut, Alfred I; Ergas, Isaac J; Wright, Jaime D; Caan, Bette J; Hershman, Dawn; Kushi, Lawrence H

    2013-06-01

    We examined mechanisms through which social relationships influence quality of life (QOL) in breast cancer survivors. This study included 3,139 women from the Pathways Study who were diagnosed with breast cancer from 2006 to 2011 and provided data on social networks (the presence of a spouse or intimate partner, religious/social ties, volunteering, and numbers of close friends and relatives), social support (tangible support, emotional/informational support, affection, positive social interaction), and QOL, measured by the FACT-B, approximately 2 months post diagnosis. We used logistic models to evaluate associations between social network size, social support, and lower versus higher than median QOL scores. We further stratified by stage at diagnosis and treatment. In multivariate-adjusted analyses, women who were characterized as socially isolated had significantly lower FACT-B (OR = 2.18, 95 % CI: 1.72-2.77), physical well-being (WB) (OR = 1.61, 95 % CI: 1.27-2.03), functional WB (OR = 2.08, 95 % CI: 1.65-2.63), social WB (OR = 3.46, 95 % CI: 2.73-4.39), and emotional WB (OR = 1.67, 95 % CI: 1.33-2.11) scores and higher breast cancer symptoms (OR = 1.48, 95 % CI: 1.18-1.87) compared with socially integrated women. Each social network member independently predicted higher QOL. Simultaneous adjustment for social networks and social support partially attenuated associations between social networks and QOL. The strongest mediator and type of social support that was most predictive of QOL outcomes was "positive social interaction." However, each type of support was important depending on outcome, stage, and treatment status. Larger social networks and greater social support were related to higher QOL after a diagnosis of breast cancer. Effective social support interventions need to evolve beyond social-emotional interventions and need to account for disease severity and treatment status. PMID:23657404

  17. The redox biology network in cancer pathophysiology and therapeutics

    Directory of Open Access Journals (Sweden)

    Gina Manda

    2015-08-01

    Full Text Available The review pinpoints operational concepts related to the redox biology network applied to the pathophysiology and therapeutics of solid tumors. A sophisticated network of intrinsic and extrinsic cues, integrated in the tumor niche, drives tumorigenesis and tumor progression. Critical mutations and distorted redox signaling pathways orchestrate pathologic events inside cancer cells, resulting in resistance to stress and death signals, aberrant proliferation and efficient repair mechanisms. Additionally, the complex inter-cellular crosstalk within the tumor niche, mediated by cytokines, redox-sensitive danger signals (HMGB1 and exosomes, under the pressure of multiple stresses (oxidative, inflammatory, metabolic, greatly contributes to the malignant phenotype. The tumor-associated inflammatory stress and its suppressive action on the anti-tumor immune response are highlighted. We further emphasize that ROS may act either as supporter or enemy of cancer cells, depending on the context. Oxidative stress-based therapies, such as radiotherapy and photodynamic therapy, take advantage of the cytotoxic face of ROS for killing tumor cells by a non-physiologically sudden, localized and intense oxidative burst. The type of tumor cell death elicited by these therapies is discussed. Therapy outcome depends on the differential sensitivity to oxidative stress of particular tumor cells, such as cancer stem cells, and therefore co-therapies that transiently down-regulate their intrinsic antioxidant system hold great promise. We draw attention on the consequences of the damage signals delivered by oxidative stress-injured cells to neighboring and distant cells, and emphasize the benefits of therapeutically triggered immunologic cell death in metastatic cancer. An integrative approach should be applied when designing therapeutic strategies in cancer, taking into consideration the mutational, metabolic, inflammatory and oxidative status of tumor cells, cellular

  18. Identification of Lung-Cancer-Related Genes with the Shortest Path Approach in a Protein-Protein Interaction Network

    Directory of Open Access Journals (Sweden)

    Bi-Qing Li

    2013-01-01

    Full Text Available Lung cancer is one of the leading causes of cancer mortality worldwide. The main types of lung cancer are small cell lung cancer (SCLC and nonsmall cell lung cancer (NSCLC. In this work, a computational method was proposed for identifying lung-cancer-related genes with a shortest path approach in a protein-protein interaction (PPI network. Based on the PPI data from STRING, a weighted PPI network was constructed. 54 NSCLC- and 84 SCLC-related genes were retrieved from associated KEGG pathways. Then the shortest paths between each pair of these 54 NSCLC genes and 84 SCLC genes were obtained with Dijkstra’s algorithm. Finally, all the genes on the shortest paths were extracted, and 25 and 38 shortest genes with a permutation P value less than 0.05 for NSCLC and SCLC were selected for further analysis. Some of the shortest path genes have been reported to be related to lung cancer. Intriguingly, the candidate genes we identified from the PPI network contained more cancer genes than those identified from the gene expression profiles. Furthermore, these genes possessed more functional similarity with the known cancer genes than those identified from the gene expression profiles. This study proved the efficiency of the proposed method and showed promising results.

  19. Neural network analysis of breast cancer from MRI findings

    International Nuclear Information System (INIS)

    To evaluate how much the experience of radiologists affects the performance of an artificial neural network (ANN) trained by two highly experienced radiologists. Before biopsy two experienced radiologists reviewed the MR images of 100 adult patients with suspicious breast lesions and evaluated their findings based on six features. This database was then used to train a three-layered feed-forward neural network. The network's generalizing ability was then tested to predict the outcome of biopsy in 56 new patients' records which were extracted by 10 participating radiologists. The MRI findings of each reader were presented to the ANN to evaluate the effect of various levels of experience on the output of the ANN. The performance of the ANN was then compared with that of attendant physicians in terms of sensitivity, specificity, and accuracy as well as ROC analysis. The best ANN outcome offered a correct diagnosis in 40 of 41 of the patients with malignant breast cancer and 10 of 15 with benign entity presented in the testing set. The output of the trained ANN outperformed the attendant radiologists with low levels of experience and showed comparable performance with radiologists with higher levels of experience. The ANN is able to work as a backup system to assist radiologists in the diagnosis of breast cancer. (author)

  20. Extending pathways and processes using molecular interaction networks to analyse cancer genome data

    Directory of Open Access Journals (Sweden)

    Krasnogor Natalio

    2010-12-01

    Full Text Available Abstract Background Cellular processes and pathways, whose deregulation may contribute to the development of cancers, are often represented as cascades of proteins transmitting a signal from the cell surface to the nucleus. However, recent functional genomic experiments have identified thousands of interactions for the signalling canonical proteins, challenging the traditional view of pathways as independent functional entities. Combining information from pathway databases and interaction networks obtained from functional genomic experiments is therefore a promising strategy to obtain more robust pathway and process representations, facilitating the study of cancer-related pathways. Results We present a methodology for extending pre-defined protein sets representing cellular pathways and processes by mapping them onto a protein-protein interaction network, and extending them to include densely interconnected interaction partners. The added proteins display distinctive network topological features and molecular function annotations, and can be proposed as putative new components, and/or as regulators of the communication between the different cellular processes. Finally, these extended pathways and processes are used to analyse their enrichment in pancreatic mutated genes. Significant associations between mutated genes and certain processes are identified, enabling an analysis of the influence of previously non-annotated cancer mutated genes. Conclusions The proposed method for extending cellular pathways helps to explain the functions of cancer mutated genes by exploiting the synergies of canonical knowledge and large-scale interaction data.

  1. Cancer cervix?: a retrospective study

    International Nuclear Information System (INIS)

    Anemia is very commonly seen in most of the malignancies including cancer cervix. Anemia has long been reported to adversely affect the efficacy of radiation treatment in cervical cancer. At our center, carcinoma cervix accounts for approximately 8-10% of all malignancies. The objective of this study is to see the impact of anemia in the treatment of cancer cervix. In the present study, we collected data of treatment results of FIGO stage II and III cancer cervix patients retrospectively treated in years of 2009-10. We have tried to assess the outcome of results in patients whom haemoglobin (Hb) level < 10 gm/dl and e''10 gm/dl. Out of 200 patients of disease with baseline Hb less than 10 gm/dl, 80(40%) patients had residual disease after 4 weeks of completion of treatment. Out of 168 patients with baseline Hb more than 10 gm/dl, 42(25%) had residual disease (p-0.0012 i.e highly significant). Our study shows that there is a good disease control at local site in patients with higher pretreatment Hb level. Effect of pretreatment Hb on treatment outcome in terms of overall survival, disease free survival, and local relapse free survival along with effect on corrective measures should be studied in detail. (author)

  2. An integrative -omics approach to identify functional sub-networks in human colorectal cancer.

    Directory of Open Access Journals (Sweden)

    Rod K Nibbe

    2010-01-01

    Full Text Available Emerging evidence indicates that gene products implicated in human cancers often cluster together in "hot spots" in protein-protein interaction (PPI networks. Additionally, small sub-networks within PPI networks that demonstrate synergistic differential expression with respect to tumorigenic phenotypes were recently shown to be more accurate classifiers of disease progression when compared to single targets identified by traditional approaches. However, many of these studies rely exclusively on mRNA expression data, a useful but limited measure of cellular activity. Proteomic profiling experiments provide information at the post-translational level, yet they generally screen only a limited fraction of the proteome. Here, we demonstrate that integration of these complementary data sources with a "proteomics-first" approach can enhance the discovery of candidate sub-networks in cancer that are well-suited for mechanistic validation in disease. We propose that small changes in the mRNA expression of multiple genes in the neighborhood of a protein-hub can be synergistically associated with significant changes in the activity of that protein and its network neighbors. Further, we hypothesize that proteomic targets with significant fold change between phenotype and control may be used to "seed" a search for small PPI sub-networks that are functionally associated with these targets. To test this hypothesis, we select proteomic targets having significant expression changes in human colorectal cancer (CRC from two independent 2-D gel-based screens. Then, we use random walk based models of network crosstalk and develop novel reference models to identify sub-networks that are statistically significant in terms of their functional association with these proteomic targets. Subsequently, using an information-theoretic measure, we evaluate synergistic changes in the activity of identified sub-networks based on genome-wide screens of mRNA expression in CRC

  3. Discovering potential cancer driver genes by an integrated network-based approach.

    Science.gov (United States)

    Shi, Kai; Gao, Lin; Wang, Bingbo

    2016-08-16

    Although a lot of methods have been proposed to identify driver genes, how to separate the driver mutations from the passenger mutations is still a challenging problem in cancer genomics. The detection of driver genes with rare mutation and low accuracy is unsolved better. In this study, we present an integrated network-based approach to locate potential driver genes in a cohort of patients. The approach is composed of two steps including a network diffusion step and an aggregated ranking step, which fuses the correlation between the gene mutations and gene expression, the relationship between the mutated genes and the heterogeneous characteristic of the patient mutation. We analyze three cancer datasets including Glioblastoma multiforme, Ovarian cancer and Breast cancer. Our method has not only identified the known driver genes with high-frequency mutations, but also discovered the potential driver genes with a rare mutation. At the same time, validation by literature search and functional enrichment analysis reveal that the predicted genes are obviously related to these three kinds of cancers. PMID:27426053

  4. Correlating transcriptional networks to breast cancer survival: a large-scale coexpression analysis.

    OpenAIRE

    O'Driscoll, Lorraine

    2013-01-01

    PUBLISHED Weighted gene coexpression network analysis (WGCNA) is a powerful 'guilt-by-association'-based method to extract coexpressed groups of genes from large heterogeneous messenger RNA expression data sets. We have utilized WGCNA to identify 11 coregulated gene clusters across 2342 breast cancer samples from 13 microarray-based gene expression studies. A number of these transcriptional modules were found to be correlated to clinicopathological variables (e.g. tumor grade), survival en...

  5. Identification of Gene Biomarkers for Distinguishing Small-Cell Lung Cancer from Non-Small-Cell Lung Cancer Using a Network-Based Approach

    Directory of Open Access Journals (Sweden)

    Fei Long

    2015-01-01

    Full Text Available Lung cancer consists of two main subtypes: small-cell lung cancer (SCLC and non-small-cell lung cancer (NSCLC that are classified according to their physiological phenotypes. In this study, we have developed a network-based approach to identify molecular biomarkers that can distinguish SCLC from NSCLC. By identifying positive and negative coexpression gene pairs in normal lung tissues, SCLC, or NSCLC samples and using functional association information from the STRING network, we first construct a lung cancer-specific gene association network. From the network, we obtain gene modules in which genes are highly functionally associated with each other and are either positively or negatively coexpressed in the three conditions. Then, we identify gene modules that not only are differentially expressed between cancer and normal samples, but also show distinctive expression patterns between SCLC and NSCLC. Finally, we select genes inside those modules with discriminating coexpression patterns between the two lung cancer subtypes and predict them as candidate biomarkers that are of diagnostic use.

  6. The meaning and validation of social support networks for close family of persons with advanced cancer

    Directory of Open Access Journals (Sweden)

    Sjolander Catarina

    2012-09-01

    Full Text Available Abstract Background To strengthen the mental well-being of close family of persons newly diagnosed as having cancer, it is necessary to acquire a greater understanding of their experiences of social support networks, so as to better assess what resources are available to them from such networks and what professional measures are required. The main aim of the present study was to explore the meaning of these networks for close family of adult persons in the early stage of treatment for advanced lung or gastrointestinal cancer. An additional aim was to validate the study’s empirical findings by means of the Finfgeld-Connett conceptual model for social support. The intention was to investigate whether these findings were in accordance with previous research in nursing. Methods Seventeen family members with a relative who 8–14 weeks earlier had been diagnosed as having lung or gastrointestinal cancer were interviewed. The data were subjected to qualitative latent content analysis and validated by means of identifying antecedents and critical attributes. Results The meaning or main attribute of the social support network was expressed by the theme Confirmation through togetherness, based on six subthemes covering emotional and, to a lesser extent, instrumental support. Confirmation through togetherness derived principally from information, understanding, encouragement, involvement and spiritual community. Three subthemes were identified as the antecedents to social support: Need of support, Desire for a deeper relationship with relatives, Network to turn to. Social support involves reciprocal exchange of verbal and non-verbal information provided mainly by lay persons. Conclusions The study provides knowledge of the antecedents and attributes of social support networks, particularly from the perspective of close family of adult persons with advanced lung or gastrointestinal cancer. There is a need for measurement instruments that could

  7. Social ties and risk for cancer - a prospective cohort study

    DEFF Research Database (Denmark)

    Bergelt, C.; Prescott, E.; Gronbaek, M.;

    2009-01-01

    Background. Poor social support and small social networks have been associated with increased risks for conditions such as coronary heart disease as well as with overall mortality. We investigated the association between social ties and risk for cancer. Material and methods. The study sample cons...

  8. Leadership in complex networks: the importance of network position and strategic action in a translational cancer research network

    OpenAIRE

    Long, Janet C; Cunningham, Frances C; Wiley, Janice; Carswell, Peter; Braithwaite, Jeffrey

    2013-01-01

    Background Leadership behaviour in complex networks is under-researched, and little has been written concerning leadership of translational research networks (TRNs) that take discoveries made ‘at the bench’ and translate them into practices used ‘at the bedside.’ Understanding leaders’ opportunities and behaviours within TRNs working to solve this key problem in implementing evidence into clinical practice is therefore important. This study explored the network position of governing body memb...

  9. Cross Validation Evaluation for Breast Cancer Prediction Using Multilayer Perceptron Neural Networks

    Directory of Open Access Journals (Sweden)

    Shirin A. Mojarad

    2011-01-01

    Full Text Available Problem statement: The presence of metastasis in the regional lymph nodes is the most important factor in predicting prognosis in breast cancer. Many biomarkers have been identified that appear to relate to the aggressive behaviour of cancer. However, the nonlinear relation of these markers to nodal status and also the existence of complex interaction between markers have prohibited an accurate prognosis. Approach: The aim of this study is to investigate the effectiveness of a Multilayer Perceptron (MLP for predicting breast cancer progression using a set of four biomarkers of breast tumors. The biomarkers include DNA ploidy, cell cycle distribution (G0G1/G2M, steroid receptors (ER/PR and S-Phase Fraction (SPF. A further objective of the study is to explore the predictive potential of these markers in defining the state of nodal involvement in breast cancer. Two methods of outcome evaluation viz. stratified and simple k-fold Cross Validation (CV are studied in order to assess their accuracy and reliability for neural network validation. Criteria such as output accuracy, sensitivity and specificity are used for selecting the best validation technique besides evaluating the network outcome for different combinations of markers. Results: The results show that stratified 2-fold CV is more accurate and reliable compared to simple k-fold CV as it obtains a higher accuracy and specificity and also provides a more stable network validation in terms of sensitivity. Best prediction results are obtained by using an individual marker-SPF which obtains an accuracy of 65%. Conclusion/Recommendations: Our findings suggest that MLP-based analysis provides an accurate and reliable platform for breast cancer prediction given that an appropriate design and validation method is employed.

  10. Frederick National Lab and the Pancreatic Cancer Action Network Award Fellowships for KRAS Research | Poster

    Science.gov (United States)

    By Nancy Parrish, Staff Writer The Frederick National Laboratory for Cancer Research (FNLCR) recently formed a partnership with the Pancreatic Cancer Action Network (PanCAN) to award a one-year fellowship to two scientists whose research will help lead to new therapies for pancreatic cancer. The scientists will focus on KRAS, a gene in the RAS family that is mutated in 95 percent of pancreatic cancers, according to the National Cancer Institute (NCI).

  11. Prediction of near-term breast cancer risk using a Bayesian belief network

    Science.gov (United States)

    Zheng, Bin; Ramalingam, Pandiyarajan; Hariharan, Harishwaran; Leader, Joseph K.; Gur, David

    2013-03-01

    Accurately predicting near-term breast cancer risk is an important prerequisite for establishing an optimal personalized breast cancer screening paradigm. In previous studies, we investigated and tested the feasibility of developing a unique near-term breast cancer risk prediction model based on a new risk factor associated with bilateral mammographic density asymmetry between the left and right breasts of a woman using a single feature. In this study we developed a multi-feature based Bayesian belief network (BBN) that combines bilateral mammographic density asymmetry with three other popular risk factors, namely (1) age, (2) family history, and (3) average breast density, to further increase the discriminatory power of our cancer risk model. A dataset involving "prior" negative mammography examinations of 348 women was used in the study. Among these women, 174 had breast cancer detected and verified in the next sequential screening examinations, and 174 remained negative (cancer-free). A BBN was applied to predict the risk of each woman having cancer detected six to 18 months later following the negative screening mammography. The prediction results were compared with those using single features. The prediction accuracy was significantly increased when using the BBN. The area under the ROC curve increased from an AUC=0.70 to 0.84 (pvalue (PPV) and negative predictive value (NPV) also increased from a PPV=0.61 to 0.78 and an NPV=0.65 to 0.75, respectively. This study demonstrates that a multi-feature based BBN can more accurately predict the near-term breast cancer risk than with a single feature.

  12. Topological and functional discovery in a gene coexpression meta-network of gastric cancer.

    Science.gov (United States)

    Aggarwal, Amit; Guo, Dong Li; Hoshida, Yujin; Yuen, Siu Tsan; Chu, Kent-Man; So, Samuel; Boussioutas, Alex; Chen, Xin; Bowtell, David; Aburatani, Hiroyuki; Leung, Suet Yi; Tan, Patrick

    2006-01-01

    Gastric cancer is a leading cause of global cancer mortality, but comparatively little is known about the cellular pathways regulating different aspects of the gastric cancer phenotype. To achieve a better understanding of gastric cancer at the levels of systems topology, functional modules, and constituent genes, we assembled and systematically analyzed a consensus gene coexpression meta-network of gastric cancer incorporating >300 tissue samples from four independent patient populations (the "gastrome"). We find that the gastrome exhibits a hierarchical scale-free architecture, with an internal structure comprising multiple deeply embedded modules associated with diverse cellular functions. Individual modules display distinct subtopologies, with some (cellular proliferation) being integrated within the primary network, and others (ribosomal biosynthesis) being relatively isolated. One module associated with intestinal differentiation exhibited a remarkably high degree of autonomy, raising the possibility that its specific topological features may contribute towards the frequent occurrence of intestinal metaplasia in gastric cancer. At the single-gene level, we discovered a novel conserved interaction between the PLA2G2A prognostic marker and the EphB2 receptor, and used tissue microarrays to validate the PLA2G2A/EphB2 association. Finally, because EphB2 is a known target of the Wnt signaling pathway, we tested and provide evidence that the Wnt pathway may also similarly regulate PLA2G2A. Many of these findings were not discernible by studying the single patient populations in isolation. Thus, besides enhancing our knowledge of gastric cancer, our results show the broad utility of applying meta-analytic approaches to genome-wide data for the purposes of biological discovery. PMID:16397236

  13. A critical evaluation of network and pathway based classifiers for outcome prediction in breast cancer

    CERN Document Server

    Staiger, C; Kooter, R; Dittrich, M; Mueller, T; Klau, G W; Wessels, L F A

    2011-01-01

    Recently, several classifiers that combine primary tumor data, like gene expression data, and secondary data sources, such as protein-protein interaction networks, have been proposed for predicting outcome in breast cancer. In these approaches, new composite features are typically constructed by aggregating the expression levels of several genes. The secondary data sources are employed to guide this aggregation. Although many studies claim that these approaches improve classification performance over single gene classifiers, the gain in performance is difficult to assess. This stems mainly from the fact that different breast cancer data sets and validation procedures are employed to assess the performance. Here we address these issues by employing a large cohort of six breast cancer data sets as benchmark set and by performing an unbiased evaluation of the classification accuracies of the different approaches. Contrary to previous claims, we find that composite feature classifiers do not outperform simple sin...

  14. Construction and analysis of protein-protein interaction networks based on proteomics data of prostate cancer.

    Science.gov (United States)

    Chen, Chen; Shen, Hong; Zhang, Li-Guo; Liu, Jian; Cao, Xiao-Ge; Yao, An-Liang; Kang, Shao-San; Gao, Wei-Xing; Han, Hui; Cao, Feng-Hong; Li, Zhi-Guo

    2016-06-01

    Currently, using human prostate cancer (PCa) tissue samples to conduct proteomics research has generated a large amount of data; however, only a very small amount has been thoroughly investigated. In this study, we manually carried out the mining of the full text of proteomics literature that involved comparisons between PCa and normal or benign tissue and identified 41 differentially expressed proteins verified or reported more than 2 times from different research studies. We regarded these proteins as seed proteins to construct a protein-protein interaction (PPI) network. The extended network included one giant network, which consisted of 1,264 nodes connected via 1,744 edges, and 3 small separate components. The backbone network was then constructed, which was derived from key nodes and the subnetwork consisting of the shortest path between seed proteins. Topological analyses of these networks were conducted to identify proteins essential for the genesis of PCa. Solute carrier family 2 (facilitated glucose transporter), member 4 (SLC2A4) had the highest closeness centrality located in the center of each network, and the highest betweenness centrality and largest degree in the backbone network. Tubulin, beta 2C (TUBB2C) had the largest degree in the giant network and subnetwork. In addition, using module analysis of the whole PPI network, we obtained a densely connected region. Functional annotation indicated that the Ras protein signal transduction biological process, mitogen-activated protein kinase (MAPK), neurotrophin and the gonadotropin-releasing hormone (GnRH) signaling pathway may play an important role in the genesis and development of PCa. Further investigation of the SLC2A4, TUBB2C proteins, and these biological processes and pathways may therefore provide a potential target for the diagnosis and treatment of PCa. PMID:27121963

  15. The centrality of cancer proteins in human protein-protein interaction network: a revisit.

    Science.gov (United States)

    Xiong, Wei; Xie, Luyu; Zhou, Shuigeng; Liu, Hui; Guan, Jihong

    2014-01-01

    Topological analysis of protein-protein interaction (PPI) networks has been widely applied to the investigation on cancer mechanisms. However, there is still a debate on whether cancer proteins exhibit more topological centrality compared to the other proteins in the human PPI network. To resolve this debate, we first identified four sets of human proteins, and then mapped these proteins into the yeast PPI network by homologous genes. Finally, we compared these proteins' properties in human and yeast PPI networks. Experiments over two real datasets demonstrated that cancer proteins tend to have higher degree and smaller clustering coefficient than non-cancer proteins. Experimental results also validated that cancer proteins have larger betweenness centrality compared to the other proteins on the STRING dataset. However, on the BioGRID dataset, the average betweenness centrality of cancer proteins is larger than that of disease and control proteins, but smaller than that of essential proteins. PMID:24878726

  16. Identifying significant genetic regulatory networks in the prostate cancer from microarray data based on transcription factor analysis and conditional independency

    Directory of Open Access Journals (Sweden)

    Yeh Cheng-Yu

    2009-12-01

    Full Text Available Abstract Background Prostate cancer is a world wide leading cancer and it is characterized by its aggressive metastasis. According to the clinical heterogeneity, prostate cancer displays different stages and grades related to the aggressive metastasis disease. Although numerous studies used microarray analysis and traditional clustering method to identify the individual genes during the disease processes, the important gene regulations remain unclear. We present a computational method for inferring genetic regulatory networks from micorarray data automatically with transcription factor analysis and conditional independence testing to explore the potential significant gene regulatory networks that are correlated with cancer, tumor grade and stage in the prostate cancer. Results To deal with missing values in microarray data, we used a K-nearest-neighbors (KNN algorithm to determine the precise expression values. We applied web services technology to wrap the bioinformatics toolkits and databases to automatically extract the promoter regions of DNA sequences and predicted the transcription factors that regulate the gene expressions. We adopt the microarray datasets consists of 62 primary tumors, 41 normal prostate tissues from Stanford Microarray Database (SMD as a target dataset to evaluate our method. The predicted results showed that the possible biomarker genes related to cancer and denoted the androgen functions and processes may be in the development of the prostate cancer and promote the cell death in cell cycle. Our predicted results showed that sub-networks of genes SREBF1, STAT6 and PBX1 are strongly related to a high extent while ETS transcription factors ELK1, JUN and EGR2 are related to a low extent. Gene SLC22A3 may explain clinically the differentiation associated with the high grade cancer compared with low grade cancer. Enhancer of Zeste Homolg 2 (EZH2 regulated by RUNX1 and STAT3 is correlated to the pathological stage

  17. Deep sequencing and in silico analyses identify MYB-regulated gene networks and signaling pathways in pancreatic cancer.

    Science.gov (United States)

    Azim, Shafquat; Zubair, Haseeb; Srivastava, Sanjeev K; Bhardwaj, Arun; Zubair, Asif; Ahmad, Aamir; Singh, Seema; Khushman, Moh'd; Singh, Ajay P

    2016-01-01

    We have recently demonstrated that the transcription factor MYB can modulate several cancer-associated phenotypes in pancreatic cancer. In order to understand the molecular basis of these MYB-associated changes, we conducted deep-sequencing of transcriptome of MYB-overexpressing and -silenced pancreatic cancer cells, followed by in silico pathway analysis. We identified significant modulation of 774 genes upon MYB-silencing (p RELA was validated by both qPCR and immunoblotting and they were both shown to be under direct transcriptional control of MYB. These observations were further confirmed in a converse approach wherein MYB was overexpressed ectopically in a MYB-null pancreatic cancer cell line. Our findings thus suggest that MYB potentially regulates growth and genomic stability of pancreatic cancer cells via targeting complex gene networks and signaling pathways. Further in-depth functional studies are warranted to fully understand MYB signaling in pancreatic cancer. PMID:27354262

  18. Network-Based Integration of Disparate Omic Data To Identify "Silent Players" in Cancer.

    Directory of Open Access Journals (Sweden)

    Matthew Ruffalo

    2015-12-01

    Full Text Available Development of high-throughput monitoring technologies enables interrogation of cancer samples at various levels of cellular activity. Capitalizing on these developments, various public efforts such as The Cancer Genome Atlas (TCGA generate disparate omic data for large patient cohorts. As demonstrated by recent studies, these heterogeneous data sources provide the opportunity to gain insights into the molecular changes that drive cancer pathogenesis and progression. However, these insights are limited by the vast search space and as a result low statistical power to make new discoveries. In this paper, we propose methods for integrating disparate omic data using molecular interaction networks, with a view to gaining mechanistic insights into the relationship between molecular changes at different levels of cellular activity. Namely, we hypothesize that genes that play a role in cancer development and progression may be implicated by neither frequent mutation nor differential expression, and that network-based integration of mutation and differential expression data can reveal these "silent players". For this purpose, we utilize network-propagation algorithms to simulate the information flow in the cell at a sample-specific resolution. We then use the propagated mutation and expression signals to identify genes that are not necessarily mutated or differentially expressed genes, but have an essential role in tumor development and patient outcome. We test the proposed method on breast cancer and glioblastoma multiforme data obtained from TCGA. Our results show that the proposed method can identify important proteins that are not readily revealed by molecular data, providing insights beyond what can be gleaned by analyzing different types of molecular data in isolation.

  19. Studying Network design in Container linter shipping

    OpenAIRE

    Tran, Nguyen Khoi

    2015-01-01

    This thesis studies network design in container liner shipping by concentrating on four research questions: - How were operational patterns deployed in route design? - How was container shipping network developed? - How efficient were fleet expansion and mega vessel deployment? - How do operational factors influence on route design? Question 1 analyses characteristics of shipping routes, a basis component of shipping operation. Question 2 deals with shipping network, which is a combination of...

  20. Case study: Wireless Sensor Networks Technology

    OpenAIRE

    Naveen Jain; Pawan Shakdwipee; Sunil Sharma

    2013-01-01

    This paper present the history of research in sensor networks over the past decades, including two important programs of the Defense Advanced Research Projects Agency (DARPA), and the Distributed Sensor Networks (DSN) and the Sensor Information Technology (SensIT) programs. Technology trends that impact the development of sensor networks are reviewed, and new applications such as infrastructure security, habitat monitoring. The paper concludes by presenting some recent case studies results in...

  1. Logic Programming and Artificial Neural Networks in Breast Cancer Detection

    OpenAIRE

    Neves, José; Guimarães, Tiago; Gomes, Sabino; Vicente, Henrique; Santos, Mariana; Neves, João; Machado, José; Novais, Paulo

    2015-01-01

    About 90% of breast cancers do not cause or are capable of producing death if detected at an early stage and treated properly. Indeed, it is still not known a specific cause for the illness. It may be not only a beginning, but also a set of associations that will determine the onset of the disease. Undeniably, there are some factors that seem to be associated with the boosted risk of the malady. Pondering the present study, different breast cancer risk assessment models where considered. It i...

  2. Logic programming and artificial neural networks in breast cancer detection

    OpenAIRE

    Guimarães, T.; Gomes, S.; Vicente, H.; Santos, M. F.; Neves, José; Machado, José Manuel; Novais, Paulo

    2015-01-01

    About 90% of breast cancers do not cause or are capable of producing death if detected at an early stage and treated properly. Indeed, it is still not known a specific cause for the illness. It may be not only a beginning, but also a set of associations that will determine the onset of the disease. Undeniably, there are some factors that seem to be associated with the boosted risk of the malady. Pondering the present study, different breast cancer risk assessment models where considered. It i...

  3. Assessment of the psychological distress difficulties in patients with cancer using the national comprehensive cancer network rapid screening measure

    Institute of Scientific and Technical Information of China (English)

    Hamid Saeedi Saedi; Mona Koochak Pour; Emad Sabahi; Soodabeh Shahidsales

    2012-01-01

    Objective: Clinical guidelines like National Comprehensive Cancer Network Disease recommend routine psychological distress screening as a common problem among patients with cancer. The purpose of this study was to assess the prevalence of clinically significant emotional distress related to demographic and clinical association by standard distress thermometer (DT) within the patients lived in different regions of Gilan state, Iran. Methods: Participants (n = 256) completed the DT, rapid screening measure for distress and identified the presence or absence of 34 problems using the standardized checklist. Results: More than 59 percent of participants had more than 4 cut-off score for distress. The scores varied significantly in case of reported emotional source of distress, physical, physiological and total number of concerns (P < 0.001).DT scores more than four were more likely to report 22 of 32 problems on the problem list. In case of the practical and family problems, the main problems were related to child care and dealing with children, respectively. Moreover worrisome and nervousness were considered the prominent emotional problems in the list. Conclusion: Our result promise that distress thermometer measurement tool compare favorably with longer measures used to screening of distress in cancerous patients. Accompaniment of a psychologist expert in lethal or chronic disease consultation with the therapeutic team and training the rest of members of the team might be able to decrease the emotional distress problems of the cancerous patients.

  4. CCNA Cisco Certified Network Associate Study Guide

    CERN Document Server

    Lammle, Todd

    2011-01-01

    Learn from the Best - Cisco Networking Authority Todd LammleWritten by Cisco networking authority Todd Lammle, this comprehensive guide has been completely updated to reflect the latest CCNA 640-802 exam. Todd's straightforward style provides lively examples, hands on and written labs, easy-to-understand analogies, and real-world scenarios that will not only help you prepare for the exam, but also give you a solid foundation as a Cisco networking professional.This Study Guide teaches you how toDescribe how a network worksConfigure, verify and troubleshoot a switch with VLANs and interswitch co

  5. Target inhibition networks: predicting selective combinations of druggable targets to block cancer survival pathways.

    Directory of Open Access Journals (Sweden)

    Jing Tang

    Full Text Available A recent trend in drug development is to identify drug combinations or multi-target agents that effectively modify multiple nodes of disease-associated networks. Such polypharmacological effects may reduce the risk of emerging drug resistance by means of attacking the disease networks through synergistic and synthetic lethal interactions. However, due to the exponentially increasing number of potential drug and target combinations, systematic approaches are needed for prioritizing the most potent multi-target alternatives on a global network level. We took a functional systems pharmacology approach toward the identification of selective target combinations for specific cancer cells by combining large-scale screening data on drug treatment efficacies and drug-target binding affinities. Our model-based prediction approach, named TIMMA, takes advantage of the polypharmacological effects of drugs and infers combinatorial drug efficacies through system-level target inhibition networks. Case studies in MCF-7 and MDA-MB-231 breast cancer and BxPC-3 pancreatic cancer cells demonstrated how the target inhibition modeling allows systematic exploration of functional interactions between drugs and their targets to maximally inhibit multiple survival pathways in a given cancer type. The TIMMA prediction results were experimentally validated by means of systematic siRNA-mediated silencing of the selected targets and their pairwise combinations, showing increased ability to identify not only such druggable kinase targets that are essential for cancer survival either individually or in combination, but also synergistic interactions indicative of non-additive drug efficacies. These system-level analyses were enabled by a novel model construction method utilizing maximization and minimization rules, as well as a model selection algorithm based on sequential forward floating search. Compared with an existing computational solution, TIMMA showed both enhanced

  6. Network analysis of microRNAs and their regulation in human ovarian cancer

    KAUST Repository

    Schmeier, Sebastian

    2011-11-03

    Background: MicroRNAs (miRNAs) are small non-coding RNA molecules that repress the translation of messenger RNAs (mRNAs) or degrade mRNAs. These functions of miRNAs allow them to control key cellular processes such as development, differentiation and apoptosis, and they have also been implicated in several cancers such as leukaemia, lung, pancreatic and ovarian cancer (OC). Unfortunately, the specific machinery of miRNA regulation, involving transcription factors (TFs) and transcription co-factors (TcoFs), is not well understood. In the present study we focus on computationally deciphering the underlying network of miRNAs, their targets, and their control mechanisms that have an influence on OC development.Results: We analysed experimentally verified data from multiple sources that describe miRNA influence on diseases, miRNA targeting of mRNAs, and on protein-protein interactions, and combined this data with ab initio transcription factor binding site predictions within miRNA promoter regions. From these analyses, we derived a network that describes the influence of miRNAs and their regulation in human OC. We developed a methodology to analyse the network in order to find the nodes that have the largest potential of influencing the network\\'s behaviour (network hubs). We further show the potentially most influential miRNAs, TFs and TcoFs, showing subnetworks illustrating the involved mechanisms as well as regulatory miRNA network motifs in OC. We find an enrichment of miRNA targeted OC genes in the highly relevant pathways cell cycle regulation and apoptosis.Conclusions: We combined several sources of interaction and association data to analyse and place miRNAs within regulatory pathways that influence human OC. These results represent the first comprehensive miRNA regulatory network analysis for human OC. This suggests that miRNAs and their regulation may play a major role in OC and that further directed research in this area is of utmost importance to enhance

  7. Chemotherapeutic prevention studies of prostate cancer

    DEFF Research Database (Denmark)

    Djavan, Bob; Zlotta, Alexandre; Schulman, Claude;

    2004-01-01

    Despite advances in the detection and management of prostate cancer, this disease remains a major cause of morbidity and mortality in men. Increasing attention has focused on the role of chemoprevention for prostate cancer, ie the administration of agents that inhibit 1 or more steps in the natural...... history of prostate carcinogenesis. We review prostate cancer chemoprevention studies in Europe....

  8. Chemotherapeutic prevention studies of prostate cancer

    DEFF Research Database (Denmark)

    Djavan, Bob; Zlotta, Alexandre; Schulman, Claude; Teillac, Pierre; Iversen, Peter; Boccon Gibod, Laurent; Bartsch, Georg; Marberger, Michael

    Despite advances in the detection and management of prostate cancer, this disease remains a major cause of morbidity and mortality in men. Increasing attention has focused on the role of chemoprevention for prostate cancer, ie the administration of agents that inhibit 1 or more steps in the natural...... history of prostate carcinogenesis. We review prostate cancer chemoprevention studies in Europe....

  9. Targeting the Human Cancer Pathway Protein Interaction Network by Structural Genomics*

    OpenAIRE

    Huang, Yuanpeng Janet; Hang, Dehua; Lu, Long Jason; Tong, Liang; Gerstein, Mark B; Montelione, Gaetano T.

    2008-01-01

    Structural genomics provides an important approach for characterizing and understanding systems biology. As a step toward better integrating protein three-dimensional (3D) structural information in cancer systems biology, we have constructed a Human Cancer Pathway Protein Interaction Network (HCPIN) by analysis of several classical cancer-associated signaling pathways and their physical protein-protein interactions. Many well known cancer-associated proteins play central roles as “hubs” or “b...

  10. Diagnostic Classification of Normal Persons and Cancer Patients by Using Neural Network Based on Trace Metal Contents in Serum Samples

    Institute of Scientific and Technical Information of China (English)

    2001-01-01

    Artificial neural network with the back-propagation(BP-ANN) approach was applied to the classification of normal persons and various cancer patients based on the elemental contents in serum samples. This method was verified by the cross-validation method. The effects of the net work parameters were investigated and the related problems were discussed. The samples of 72, 42, and 52 for lung, liver, and stomach cancer patients and normal persons, respectively, were used for the classification study. About 95% of the samples can be classified correctly. There fore, the method can be used as an auxiliary means of the diagnosis of cancer.

  11. miR-137 Modulates a Tumor Suppressor Network-Inducing Senescence in Pancreatic Cancer Cells

    Directory of Open Access Journals (Sweden)

    Mathieu Neault

    2016-03-01

    Full Text Available Activating K-Ras mutations occurs frequently in pancreatic cancers and is implicated in their development. Cancer-initiating events, such as oncogenic Ras activation, lead to the induction of cellular senescence, a tumor suppressor response. During senescence, the decreased levels of KDM4A lysine demethylase contribute to p53 activation, however, the mechanism by which KDM4A is downregulated is unknown. We show that miR-137 targets KDM4A mRNA during Ras-induced senescence and activates both p53 and retinoblastoma (pRb tumor suppressor pathways. Restoring the KDM4A expression contributed to bypass of miR-137-induced senescence and inhibition of endogenous miR-137 with an miRNA sponge-compromised Ras-induced senescence. miR-137 levels are significantly reduced in human pancreatic tumors, consistent with previous studies revealing a defective senescence response in this cancer type. Restoration of miR-137 expression inhibited proliferation and promoted senescence of pancreatic cancer cells. These results suggest that modulating levels of miR-137 may be important for triggering tumor suppressor networks in pancreatic cancer.

  12. The impact of radiotherapy in the treatment of desmoid tumours. An international survey of 110 patients. A study of the Rare Cancer Network

    OpenAIRE

    Maurer Robert; Lombriser Norbert; Streuli Hans K; Thum Peter; Storme Guy; Kirschner Michael J; Villà Salvador; Fridrich Katrin; Landmann Christine; Beauvois Sylvie; Hochstetter Arthur Von; Spahr Martin O; Baumert Brigitta G; Ries Gerhard; Bleher Ernst-Arnold

    2007-01-01

    Abstract Purpose A multi-centre study to assess the value of combined surgical resection and radiotherapy for the treatment of desmoid tumours. Patients and methods One hundred and ten patients from several European countries qualified for this study. Pathology slides of all patients were reviewed by an independent pathologist. Sixty-eight patients received post-operative radiotherapy and 42 surgery only. Median follow-up was 6 years (1 to 44). The progression-free survival time (PFS) and pro...

  13. Integrative modelling of the influence of MAPK network on cancer cell fate decision.

    Directory of Open Access Journals (Sweden)

    Luca Grieco

    2013-10-01

    Full Text Available The Mitogen-Activated Protein Kinase (MAPK network consists of tightly interconnected signalling pathways involved in diverse cellular processes, such as cell cycle, survival, apoptosis and differentiation. Although several studies reported the involvement of these signalling cascades in cancer deregulations, the precise mechanisms underlying their influence on the balance between cell proliferation and cell death (cell fate decision in pathological circumstances remain elusive. Based on an extensive analysis of published data, we have built a comprehensive and generic reaction map for the MAPK signalling network, using CellDesigner software. In order to explore the MAPK responses to different stimuli and better understand their contributions to cell fate decision, we have considered the most crucial components and interactions and encoded them into a logical model, using the software GINsim. Our logical model analysis particularly focuses on urinary bladder cancer, where MAPK network deregulations have often been associated with specific phenotypes. To cope with the combinatorial explosion of the number of states, we have applied novel algorithms for model reduction and for the compression of state transition graphs, both implemented into the software GINsim. The results of systematic simulations for different signal combinations and network perturbations were found globally coherent with published data. In silico experiments further enabled us to delineate the roles of specific components, cross-talks and regulatory feedbacks in cell fate decision. Finally, tentative proliferative or anti-proliferative mechanisms can be connected with established bladder cancer deregulations, namely Epidermal Growth Factor Receptor (EGFR over-expression and Fibroblast Growth Factor Receptor 3 (FGFR3 activating mutations.

  14. Earth Regime Network Evolution Study (ERNESt)

    Science.gov (United States)

    Menrad, Bob

    2016-01-01

    Speaker and Presenter at the Lincoln Laboratory Communications Workshop on April 5, 2016 at the Massachusetts Institute of Technology Lincoln Laboratory in Lexington, MA. A visual presentation titled Earth Regimes Network Evolution Study (ERNESt).

  15. Integrating Domain Specific Knowledge and Network Analysis to Predict Drug Sensitivity of Cancer Cell Lines.

    Science.gov (United States)

    Kim, Sebo; Sundaresan, Varsha; Zhou, Lei; Kahveci, Tamer

    2016-01-01

    One of fundamental challenges in cancer studies is that varying molecular characteristics of different tumor types may lead to resistance to certain drugs. As a result, the same drug can lead to significantly different results in different types of cancer thus emphasizing the need for individualized medicine. Individual prediction of drug response has great potential to aid in improving the clinical outcome and reduce the financial costs associated with prescribing chemotherapy drugs to which the patient's tumor might be resistant. In this paper we develop a network based classifier (NBC) method for predicting sensitivity of cell lines to anticancer drugs from transcriptome data. In the literature, this strategy has been used for predicting cancer types. Here, we extend it to estimate sensitivity of cells from different tumor types to various anticancer drugs. Furthermore, we incorporate domain specific knowledge such as the use of apoptotic gene list and clinical dose information in our method to impart biological significance to the prediction. Our experimental results suggest that our network based classifier (NBC) method outperforms existing classifiers in estimating sensitivity of cell lines for different drugs. PMID:27607242

  16. The Results of Surgery, With or Without Radiotherapy, for Primary Spinal Myxopapillary Ependymoma: A Retrospective Study From the Rare Cancer Network

    International Nuclear Information System (INIS)

    Purpose: The aim of this study was to assess the outcome of patients with primary spinal myxopapillary ependymoma (MPE). Materials and Methods: Data from a series of 85 (35 females, 50 males) patients with spinal MPE were collected in this retrospective multicenter study. Thirty-eight (45%) underwent surgery only and 47 (55%) received postoperative radiotherapy (RT). Median administered radiation dose was 50.4 Gy (range, 22.2-59.4). Median follow-up of the surviving patients was 60.0 months (range, 0.2-316.6). Results: The 5-year progression-free survival (PFS) was 50.4% and 74.8% for surgery only and surgery with postoperative low- (<50.4 Gy) or high-dose (≥50.4 Gy) RT, respectively. Treatment failure was observed in 24 (28%) patients. Fifteen patients presented treatment failure at the primary site only, whereas 2 and 1 patients presented with brain and distant spinal failure only. Three and 2 patients with local failure presented with concomitant spinal distant seeding and brain failure, respectively. One patient failed simultaneously in the brain and spine. Age greater than 36 years (p = 0.01), absence of neurologic symptoms at diagnosis (p = 0.01), tumor size ≥25 mm (p = 0.04), and postoperative high-dose RT (p = 0.05) were variables predictive of improved PFS on univariate analysis. In multivariate analysis, only postoperative high-dose RT was independent predictors of PFS (p = 0.04). Conclusions: The observed pattern of failure was mainly local, but one fifth of the patients presented with a concomitant spinal or brain component. Postoperative high-dose RT appears to significantly reduce the rate of tumor progression.

  17. The impact of radiotherapy in the treatment of desmoid tumours. An international survey of 110 patients. A study of the Rare Cancer Network

    Directory of Open Access Journals (Sweden)

    Maurer Robert

    2007-03-01

    Full Text Available Abstract Purpose A multi-centre study to assess the value of combined surgical resection and radiotherapy for the treatment of desmoid tumours. Patients and methods One hundred and ten patients from several European countries qualified for this study. Pathology slides of all patients were reviewed by an independent pathologist. Sixty-eight patients received post-operative radiotherapy and 42 surgery only. Median follow-up was 6 years (1 to 44. The progression-free survival time (PFS and prognostic factors were analysed. Results The combined treatment with radiotherapy showed a significantly longer progression-free survival than surgical resection alone (p smaller than 0.001. Extremities could be preserved in all patients treated with combined surgery and radiotherapy for tumours located in the limb, whereas amputation was necessary for 23% of patients treated with surgery alone. A comparison of PFS for tumour locations proved the abdominal wall to be a positive prognostic factor and a localization in the extremities to be a negative prognostic factor. Additional irradiation, a fraction size larger than or equal to 2 Gy and a total dose larger than 50 Gy to the tumour were found to be positive prognostic factors with a significantly lower risk for a recurrence in the univariate analysis. This analysis revealed radiotherapy at recurrence as a significantly worse prognostic factor compared with adjuvant radiotherapy. The addition of radiotherapy to the treatment concept was a positive prognostic factor in the multivariate analysis. Conclusion Postoperative radiotherapy significantly improved the PFS compared to surgery alone. Therefore it should always be considered after a non-radical tumour resection and should be given preferably in an adjuvant setting. It is effective in limb preservation and for preserving the function of joints in situations where surgery alone would result in deficits, which is especially important in young patients.

  18. The impact of radiotherapy in the treatment of desmoid tumours. An international survey of 110 patients. A study of the Rare Cancer Network

    International Nuclear Information System (INIS)

    A multi-centre study to assess the value of combined surgical resection and radiotherapy for the treatment of desmoid tumours. One hundred and ten patients from several European countries qualified for this study. Pathology slides of all patients were reviewed by an independent pathologist. Sixty-eight patients received post-operative radiotherapy and 42 surgery only. Median follow-up was 6 years (1 to 44). The progression-free survival time (PFS) and prognostic factors were analysed. The combined treatment with radiotherapy showed a significantly longer progression-free survival than surgical resection alone (p smaller than 0.001). Extremities could be preserved in all patients treated with combined surgery and radiotherapy for tumours located in the limb, whereas amputation was necessary for 23% of patients treated with surgery alone. A comparison of PFS for tumour locations proved the abdominal wall to be a positive prognostic factor and a localization in the extremities to be a negative prognostic factor. Additional irradiation, a fraction size larger than or equal to 2 Gy and a total dose larger than 50 Gy to the tumour were found to be positive prognostic factors with a significantly lower risk for a recurrence in the univariate analysis. This analysis revealed radiotherapy at recurrence as a significantly worse prognostic factor compared with adjuvant radiotherapy. The addition of radiotherapy to the treatment concept was a positive prognostic factor in the multivariate analysis. Postoperative radiotherapy significantly improved the PFS compared to surgery alone. Therefore it should always be considered after a non-radical tumour resection and should be given preferably in an adjuvant setting. It is effective in limb preservation and for preserving the function of joints in situations where surgery alone would result in deficits, which is especially important in young patients

  19. Neural network cascade optimizes microRNA biomarker selection for nasopharyngeal cancer prognosis.

    Science.gov (United States)

    Zhu, Wenliang; Kan, Xuan

    2014-01-01

    MicroRNAs (miRNAs) have been shown to be promising biomarkers in predicting cancer prognosis. However, inappropriate or poorly optimized processing and modeling of miRNA expression data can negatively affect prediction performance. Here, we propose a holistic solution for miRNA biomarker selection and prediction model building. This work introduces the use of a neural network cascade, a cascaded constitution of small artificial neural network units, for evaluating miRNA expression and patient outcome. A miRNA microarray dataset of nasopharyngeal carcinoma was retrieved from Gene Expression Omnibus to illustrate the methodology. Results indicated a nonlinear relationship between miRNA expression and patient death risk, implying that direct comparison of expression values is inappropriate. However, this method performs transformation of miRNA expression values into a miRNA score, which linearly measures death risk. Spearman correlation was calculated between miRNA scores and survival status for each miRNA. Finally, a nine-miRNA signature was optimized to predict death risk after nasopharyngeal carcinoma by establishing a neural network cascade consisting of 13 artificial neural network units. Area under the ROC was 0.951 for the internal validation set and had a prediction accuracy of 83% for the external validation set. In particular, the established neural network cascade was found to have strong immunity against noise interference that disturbs miRNA expression values. This study provides an efficient and easy-to-use method that aims to maximize clinical application of miRNAs in prognostic risk assessment of patients with cancer. PMID:25310846

  20. Neural network cascade optimizes microRNA biomarker selection for nasopharyngeal cancer prognosis.

    Directory of Open Access Journals (Sweden)

    Wenliang Zhu

    Full Text Available MicroRNAs (miRNAs have been shown to be promising biomarkers in predicting cancer prognosis. However, inappropriate or poorly optimized processing and modeling of miRNA expression data can negatively affect prediction performance. Here, we propose a holistic solution for miRNA biomarker selection and prediction model building. This work introduces the use of a neural network cascade, a cascaded constitution of small artificial neural network units, for evaluating miRNA expression and patient outcome. A miRNA microarray dataset of nasopharyngeal carcinoma was retrieved from Gene Expression Omnibus to illustrate the methodology. Results indicated a nonlinear relationship between miRNA expression and patient death risk, implying that direct comparison of expression values is inappropriate. However, this method performs transformation of miRNA expression values into a miRNA score, which linearly measures death risk. Spearman correlation was calculated between miRNA scores and survival status for each miRNA. Finally, a nine-miRNA signature was optimized to predict death risk after nasopharyngeal carcinoma by establishing a neural network cascade consisting of 13 artificial neural network units. Area under the ROC was 0.951 for the internal validation set and had a prediction accuracy of 83% for the external validation set. In particular, the established neural network cascade was found to have strong immunity against noise interference that disturbs miRNA expression values. This study provides an efficient and easy-to-use method that aims to maximize clinical application of miRNAs in prognostic risk assessment of patients with cancer.

  1. Social Networks and Physical Activity Behaviors Among Cancer Survivors: Data From the 2005 Health Information National Trends Survey

    Science.gov (United States)

    KIM, BANG HYUN; WALLINGTON, SHERRIE F.; MAKAMBI, KEPHER H.; ADAMS-CAMPBELL, LUCILE L.

    2015-01-01

    The study examined the relation between social networks and physical activity behaviors among cancer survivors. The authors examined 873 cancer survivors (596 women, 277 men) 50 years of age or older who participated in the 2005 Health Information National Trends Survey. Multivariate logistic regression analysis showed that survivors who talked about health with friends/family were more likely to pay attention to new physical activity recommendations (OR = 2.89, CI [1.01, 8.33]). Female survivors were more likely to pay attention to new physical activity recommendations (OR = 2.65, CI [1.55, 4.53]) and more likely to have seen, heard, or read physical activity/exercise and cancer information within the past 12 months (OR = 2.09, CI [1.13, 3.85]) compared with their male counterparts. For male survivors, those who were a member of at least one community organization were more likely to pay attention to new physical activity/exercise recommendations (OR = 5.31, CI [1.32, 21.22]) than the men who were not members. Overall, cancer survivors with a social network (i.e., talking to family/friends about health) were more likely to pay attention to new exercise recommendations compared with those who did not have a social network. Significant differences were also observed by gender with physical activity levels, knowledge, and attitudes. Social networking is an important component in cancer survivorship and further research is needed to encourage social networking strategies that might facilitate in increasing physical activity behaviors among cancer survivors. PMID:25978562

  2. Social network analysis of study environment

    Directory of Open Access Journals (Sweden)

    Blaženka Divjak

    2010-06-01

    Full Text Available Student working environment influences student learning and achievement level. In this respect social aspects of students’ formal and non-formal learning play special role in learning environment. The main research problem of this paper is to find out if students' academic performance influences their position in different students' social networks. Further, there is a need to identify other predictors of this position. In the process of problem solving we use the Social Network Analysis (SNA that is based on the data we collected from the students at the Faculty of Organization and Informatics, University of Zagreb. There are two data samples: in the basic sample N=27 and in the extended sample N=52. We collected data on social-demographic position, academic performance, learning and motivation styles, student status (full-time/part-time, attitudes towards individual and teamwork as well as informal cooperation. Afterwards five different networks (exchange of learning materials, teamwork, informal communication, basic and aggregated social network were constructed. These networks were analyzed with different metrics and the most important were betweenness, closeness and degree centrality. The main result is, firstly, that the position in a social network cannot be forecast only by academic success and, secondly, that part-time students tend to form separate groups that are poorly connected with full-time students. In general, position of a student in social networks in study environment can influence student learning as well as her/his future employability and therefore it is worthwhile to be investigated.

  3. Discovering Distinct Functional Modules of Specific Cancer Types Using Protein-Protein Interaction Networks

    OpenAIRE

    Ru Shen; Xiaosheng Wang; Chittibabu Guda

    2015-01-01

    Background. The molecular profiles exhibited in different cancer types are very different; hence, discovering distinct functional modules associated with specific cancer types is very important to understand the distinct functions associated with them. Protein-protein interaction networks carry vital information about molecular interactions in cellular systems, and identification of functional modules (subgraphs) in these networks is one of the most important applications of biological networ...

  4. A neural network approach to breast cancer diagnosis as a constraint satisfaction problem

    International Nuclear Information System (INIS)

    A constraint satisfaction neural network (CSNN) approach is proposed for breast cancer diagnosis using mammographic and patient history findings. Initially, the diagnostic decision to biopsy was formulated as a constraint satisfaction problem. Then, an associative memory type neural network was applied to solve the problem. The proposed network has a flexible, nonhierarchical architecture that allows it to operate not only as a predictive tool but also as an analysis tool for knowledge discovery of association rules. The CSNN was developed and evaluated using a database of 500 nonpalpable breast lesions with definitive histopathological diagnosis. The CSNN diagnostic performance was evaluated using receiver operating characteristic analysis (ROC). The results of the study showed that the CSNN ROC area index was 0.84±0.02. The CSNN predictive performance is competitive with that achieved by experienced radiologists and backpropagation artificial neural networks (BP-ANNs) presented before. Furthermore, the study illustrates how CSNN can be used as a knowledge discovery tool overcoming some of the well-known limitations of BP-ANNs

  5. Distinction of cervical cancer biopsies by use of infrared microspectroscopy and probabilistic neural networks

    Science.gov (United States)

    Podshyvalov, A.; Sahu, R. K.; Mark, S.; Kantarovich, K.; Guterman, H.; Goldstein, J.; Jagannathan, R.; Argov, S.; Mordechai, S.

    2005-06-01

    Fourier-transform infrared spectroscopy has shown alterations of spectral characteristics of cells and tissues as a result of carcinogenesis. The research reported here focuses on the diagnosis of cancer in formalin-fixed biopsied tissue for which immunochemistry is not possible and when PAP-smear results are to be confirmed. The data from two groups of patients (a control group and a group of patients diagnosed with cervical cancer) were analyzed. It was found that the glucose/phosphate ratio decreases (by 23-49%) and the RNA/DNA ratio increases (by 38-150%) in carcinogenic compared with normal tissue. Fourier-transform microspectroscopy was used to examine these tissues. This type of study in larger populations may help to set standards or classes with which to use treated biopsied tissue to predict the possibility of cancer. Probabilistic neural networks and statistical tests as parts of these biopsies predict the possibility of cancer with a high degree of accuracy (>95%).

  6. Network-based integration of GWAS and gene expression identifies a HOX-centric network associated with serous ovarian cancer risk

    Science.gov (United States)

    Kar, Siddhartha P.; Tyrer, Jonathan P.; Li, Qiyuan; Lawrenson, Kate; Aben, Katja K.H.; Anton-Culver, Hoda; Antonenkova, Natalia; Chenevix-Trench, Georgia; Baker, Helen; Bandera, Elisa V.; Bean, Yukie T.; Beckmann, Matthias W.; Berchuck, Andrew; Bisogna, Maria; Bjørge, Line; Bogdanova, Natalia; Brinton, Louise; Brooks-Wilson, Angela; Butzow, Ralf; Campbell, Ian; Carty, Karen; Chang-Claude, Jenny; Chen, Yian Ann; Chen, Zhihua; Cook, Linda S.; Cramer, Daniel; Cunningham, Julie M.; Cybulski, Cezary; Dansonka-Mieszkowska, Agnieszka; Dennis, Joe; Dicks, Ed; Doherty, Jennifer A.; Dörk, Thilo; du Bois, Andreas; Dürst, Matthias; Eccles, Diana; Easton, Douglas F.; Edwards, Robert P.; Ekici, Arif B.; Fasching, Peter A.; Fridley, Brooke L.; Gao, Yu-Tang; Gentry-Maharaj, Aleksandra; Giles, Graham G.; Glasspool, Rosalind; Goode, Ellen L.; Goodman, Marc T.; Grownwald, Jacek; Harrington, Patricia; Harter, Philipp; Hein, Alexander; Heitz, Florian; Hildebrandt, Michelle A.T.; Hillemanns, Peter; Hogdall, Estrid; Hogdall, Claus K.; Hosono, Satoyo; Iversen, Edwin S.; Jakubowska, Anna; Paul, James; Jensen, Allan; Ji, Bu-Tian; Karlan, Beth Y; Kjaer, Susanne K.; Kelemen, Linda E.; Kellar, Melissa; Kelley, Joseph; Kiemeney, Lambertus A.; Krakstad, Camilla; Kupryjanczyk, Jolanta; Lambrechts, Diether; Lambrechts, Sandrina; Le, Nhu D.; Lee, Alice W.; Lele, Shashi; Leminen, Arto; Lester, Jenny; Levine, Douglas A.; Liang, Dong; Lissowska, Jolanta; Lu, Karen; Lubinski, Jan; Lundvall, Lene; Massuger, Leon; Matsuo, Keitaro; McGuire, Valerie; McLaughlin, John R.; McNeish, Iain A.; Menon, Usha; Modugno, Francesmary; Moysich, Kirsten B.; Narod, Steven A.; Nedergaard, Lotte; Ness, Roberta B.; Nevanlinna, Heli; Odunsi, Kunle; Olson, Sara H.; Orlow, Irene; Orsulic, Sandra; Weber, Rachel Palmieri; Pearce, Celeste Leigh; Pejovic, Tanja; Pelttari, Liisa M.; Permuth-Wey, Jennifer; Phelan, Catherine M.; Pike, Malcolm C.; Poole, Elizabeth M.; Ramus, Susan J.; Risch, Harvey A.; Rosen, Barry; Rossing, Mary Anne; Rothstein, Joseph H.; Rudolph, Anja; Runnebaum, Ingo B.; Rzepecka, Iwona K.; Salvesen, Helga B.; Schildkraut, Joellen M.; Schwaab, Ira; Shu, Xiao-Ou; Shvetsov, Yurii B; Siddiqui, Nadeem; Sieh, Weiva; Song, Honglin; Southey, Melissa C.; Sucheston-Campbell, Lara E.; Tangen, Ingvild L.; Teo, Soo-Hwang; Terry, Kathryn L.; Thompson, Pamela J; Timorek, Agnieszka; Tsai, Ya-Yu; Tworoger, Shelley S.; van Altena, Anne M.; Van Nieuwenhuysen, Els; Vergote, Ignace; Vierkant, Robert A.; Wang-Gohrke, Shan; Walsh, Christine; Wentzensen, Nicolas; Whittemore, Alice S.; Wicklund, Kristine G.; Wilkens, Lynne R.; Woo, Yin-Ling; Wu, Xifeng; Wu, Anna; Yang, Hannah; Zheng, Wei; Ziogas, Argyrios; Sellers, Thomas A.; Monteiro, Alvaro N. A.; Freedman, Matthew L.; Gayther, Simon A.; Pharoah, Paul D. P.

    2015-01-01

    Background Genome-wide association studies (GWAS) have so far reported 12 loci associated with serous epithelial ovarian cancer (EOC) risk. We hypothesized that some of these loci function through nearby transcription factor (TF) genes and that putative target genes of these TFs as identified by co-expression may also be enriched for additional EOC risk associations. Methods We selected TF genes within 1 Mb of the top signal at the 12 genome-wide significant risk loci. Mutual information, a form of correlation, was used to build networks of genes strongly co-expressed with each selected TF gene in the unified microarray data set of 489 serous EOC tumors from The Cancer Genome Atlas. Genes represented in this data set were subsequently ranked using a gene-level test based on results for germline SNPs from a serous EOC GWAS meta-analysis (2,196 cases/4,396 controls). Results Gene set enrichment analysis identified six networks centered on TF genes (HOXB2, HOXB5, HOXB6, HOXB7 at 17q21.32 and HOXD1, HOXD3 at 2q31) that were significantly enriched for genes from the risk-associated end of the ranked list (P<0.05 and FDR<0.05). These results were replicated (P<0.05) using an independent association study (7,035 cases/21,693 controls). Genes underlying enrichment in the six networks were pooled into a combined network. Conclusion We identified a HOX-centric network associated with serous EOC risk containing several genes with known or emerging roles in serous EOC development. Impact Network analysis integrating large, context-specific data sets has the potential to offer mechanistic insights into cancer susceptibility and prioritize genes for experimental characterization. PMID:26209509

  7. Cognitive network structure: an experimental study

    CERN Document Server

    Guazzini, Andrea; Bagnoli, Franco; Carletti, Timoteo; Grotto, Rosapia Lauro

    2012-01-01

    In this paper we present first experimental results about a small group of people exchanging private and public messages in a virtual community. Our goal is the study of the cognitive network that emerges during a chat seance. We used the Derrida coefficient and the triangle structure under the working assumption that moods and perceived mutual affinity can produce results complementary to a full semantic analysis. The most outstanding outcome is the difference between the network obtained considering publicly exchanged messages and the one considering only privately exchanged messages: in the former case, the network is very homogeneous, in the sense that each individual interacts in the same way with all the participants, whilst in the latter the interactions among different agents are very heterogeneous, and are based on "the enemy of my enemy is my friend" strategy. Finally a recent characterization of the triangular cliques has been considered in order to describe the intimate structure of the network. E...

  8. Efficient algorithm to study interconnected networks

    CERN Document Server

    Schneider, Christian M; Herrmann, Hans J

    2013-01-01

    Interconnected networks have been shown to be much more vulnerable to random and targeted failures than isolated ones, raising several interesting questions regarding the identification and mitigation of their risk. The paradigm to address these questions is the percolation model, where the resilience of the system is quantified by the dependence of the size of the largest cluster on the number of failures. Numerically, the major challenge is the identification of this cluster and the calculation of its size. Here, we propose an efficient algorithm to tackle this problem. We show that the algorithm scales as O(N log N), where N is the number of nodes in the network, a significant improvement compared to O(N^2) for a greedy algorithm, what permits studying much larger networks. Our new strategy can be applied to any network topology and distribution of interdependencies, as well as any sequence of failures.

  9. Hypoxia induces a phase transition within a kinase signaling network in cancer cells.

    Science.gov (United States)

    Wei, Wei; Shi, Qihui; Remacle, Francoise; Qin, Lidong; Shackelford, David B; Shin, Young Shik; Mischel, Paul S; Levine, R D; Heath, James R

    2013-04-01

    Hypoxia is a near-universal feature of cancer, promoting glycolysis, cellular proliferation, and angiogenesis. The molecular mechanisms of hypoxic signaling have been intensively studied, but the impact of changes in oxygen partial pressure (pO2) on the state of signaling networks is less clear. In a glioblastoma multiforme (GBM) cancer cell model, we examined the response of signaling networks to targeted pathway inhibition between 21% and 1% pO2. We used a microchip technology that facilitates quantification of a panel of functional proteins from statistical numbers of single cells. We find that near 1.5% pO2, the signaling network associated with mammalian target of rapamycin (mTOR) complex 1 (mTORC1)--a critical component of hypoxic signaling and a compelling cancer drug target--is deregulated in a manner such that it will be unresponsive to mTOR kinase inhibitors near 1.5% pO2, but will respond at higher or lower pO2 values. These predictions were validated through experiments on bulk GBM cell line cultures and on neurosphere cultures of a human-origin GBM xenograft tumor. We attempt to understand this behavior through the use of a quantitative version of Le Chatelier's principle, as well as through a steady-state kinetic model of protein interactions, both of which indicate that hypoxia can influence mTORC1 signaling as a switch. The Le Chatelier approach also indicates that this switch may be thought of as a type of phase transition. Our analysis indicates that certain biologically complex cell behaviors may be understood using fundamental, thermodynamics-motivated principles. PMID:23530221

  10. Comparing Performance of Different Neural Networks for Early Detection of Cancer from Benign Hyperplasia of Prostate

    Directory of Open Access Journals (Sweden)

    Mustafa GHADERZADEH

    2013-09-01

    Full Text Available Prostate cancer is one of the most common types of cancer found in men. Presenting a classifier in order classifies between Prostate Cancer (PCa and benign hyperplasia of prostate (BPH, has been great challenge among computer experts and medical specialists. There are a number of techniques proposed to perform such classification. Neural networks are one of the artificial intelligent techniques that have successful examples when applying to such problems. The increasing demand of Artificial Neural Network applications for predicting the disease shows better performance in the field of medical decision-making. This paper presents a comparison of neural network techniques for classification prostate neoplasia diseases. The classification performance obtained by four different types of neural networks for comparison are Back Propagation Neural Network (BPNN, General Regression Neural Network(GRNN, Probabilistic Neural Network (PNN and Radial Basis Function Neural Network (RBFNN. Result of these evaluation show that the overall performance of RBFNN can be apply successfully for detecting and diagnosing the cancer from benign hyperplasia of prostate.

  11. Integrated transcriptomic and proteomic analysis identifies protein kinase CK2 as a key signaling node in an inflammatory cytokine network in ovarian cancer cells

    Science.gov (United States)

    Kulbe, Hagen; Iorio, Francesco; Chakravarty, Probir; Milagre, Carla S.; Moore, Robert; Thompson, Richard G.; Everitt, Gemma; Canosa, Monica; Montoya, Alexander; Drygin, Denis; Braicu, Ioana; Sehouli, Jalid; Saez-Rodriguez, Julio; Cutillas, Pedro R.; Balkwill, Frances R.

    2016-01-01

    We previously showed how key pathways in cancer-related inflammation and Notch signaling are part of an autocrine malignant cell network in ovarian cancer. This network, which we named the “TNF network”, has paracrine actions within the tumor microenvironment, influencing angiogenesis and the immune cell infiltrate. The aim of this study was to identify critical regulators in the signaling pathways of the TNF network in ovarian cancer cells that might be therapeutic targets. To achieve our aim, we used a systems biology approach, combining data from phospho-proteomic mass spectrometry and gene expression array analysis. Among the potential therapeutic kinase targets identified was the protein kinase Casein kinase II (CK2). Knockdown of CK2 expression in malignant cells by siRNA or treatment with the specific CK2 inhibitor CX-4945 significantly decreased Notch signaling and reduced constitutive cytokine release in ovarian cancer cell lines that expressed the TNF network as well as malignant cells isolated from high grade serous ovarian cancer ascites. The expression of the same cytokines was also inhibited after treatment with CX-4945 in a 3D organotypic model. CK2 inhibition was associated with concomitant inhibition of proliferative activity, reduced angiogenesis and experimental peritoneal ovarian tumor growth. In conclusion, we have identified kinases, particularly CK2, associated with the TNF network that may play a central role in sustaining the cytokine network and/or mediating its effects in ovarian cancer. PMID:26871292

  12. Transduction motif analysis of gastric cancer based on a human signaling network

    Energy Technology Data Exchange (ETDEWEB)

    Liu, G.; Li, D.Z.; Jiang, C.S.; Wang, W. [Fuzhou General Hospital of Nanjing Command, Department of Gastroenterology, Fuzhou, China, Department of Gastroenterology, Fuzhou General Hospital of Nanjing Command, Fuzhou (China)

    2014-04-04

    To investigate signal regulation models of gastric cancer, databases and literature were used to construct the signaling network in humans. Topological characteristics of the network were analyzed by CytoScape. After marking gastric cancer-related genes extracted from the CancerResource, GeneRIF, and COSMIC databases, the FANMOD software was used for the mining of gastric cancer-related motifs in a network with three vertices. The significant motif difference method was adopted to identify significantly different motifs in the normal and cancer states. Finally, we conducted a series of analyses of the significantly different motifs, including gene ontology, function annotation of genes, and model classification. A human signaling network was constructed, with 1643 nodes and 5089 regulating interactions. The network was configured to have the characteristics of other biological networks. There were 57,942 motifs marked with gastric cancer-related genes out of a total of 69,492 motifs, and 264 motifs were selected as significantly different motifs by calculating the significant motif difference (SMD) scores. Genes in significantly different motifs were mainly enriched in functions associated with cancer genesis, such as regulation of cell death, amino acid phosphorylation of proteins, and intracellular signaling cascades. The top five significantly different motifs were mainly cascade and positive feedback types. Almost all genes in the five motifs were cancer related, including EPOR, MAPK14, BCL2L1, KRT18, PTPN6, CASP3, TGFBR2, AR, and CASP7. The development of cancer might be curbed by inhibiting signal transductions upstream and downstream of the selected motifs.

  13. Transduction motif analysis of gastric cancer based on a human signaling network

    International Nuclear Information System (INIS)

    To investigate signal regulation models of gastric cancer, databases and literature were used to construct the signaling network in humans. Topological characteristics of the network were analyzed by CytoScape. After marking gastric cancer-related genes extracted from the CancerResource, GeneRIF, and COSMIC databases, the FANMOD software was used for the mining of gastric cancer-related motifs in a network with three vertices. The significant motif difference method was adopted to identify significantly different motifs in the normal and cancer states. Finally, we conducted a series of analyses of the significantly different motifs, including gene ontology, function annotation of genes, and model classification. A human signaling network was constructed, with 1643 nodes and 5089 regulating interactions. The network was configured to have the characteristics of other biological networks. There were 57,942 motifs marked with gastric cancer-related genes out of a total of 69,492 motifs, and 264 motifs were selected as significantly different motifs by calculating the significant motif difference (SMD) scores. Genes in significantly different motifs were mainly enriched in functions associated with cancer genesis, such as regulation of cell death, amino acid phosphorylation of proteins, and intracellular signaling cascades. The top five significantly different motifs were mainly cascade and positive feedback types. Almost all genes in the five motifs were cancer related, including EPOR, MAPK14, BCL2L1, KRT18, PTPN6, CASP3, TGFBR2, AR, and CASP7. The development of cancer might be curbed by inhibiting signal transductions upstream and downstream of the selected motifs

  14. Genome network medicine: innovation to overcome huge challenges in cancer therapy.

    Science.gov (United States)

    Roukos, Dimitrios H

    2014-01-01

    The post-ENCODE era shapes now a new biomedical research direction for understanding transcriptional and signaling networks driving gene expression and core cellular processes such as cell fate, survival, and apoptosis. Over the past half century, the Francis Crick 'central dogma' of single n gene/protein-phenotype (trait/disease) has defined biology, human physiology, disease, diagnostics, and drugs discovery. However, the ENCODE project and several other genomic studies using high-throughput sequencing technologies, computational strategies, and imaging techniques to visualize regulatory networks, provide evidence that transcriptional process and gene expression are regulated by highly complex dynamic molecular and signaling networks. This Focus article describes the linear experimentation-based limitations of diagnostics and therapeutics to cure advanced cancer and the need to move on from reductionist to network-based approaches. With evident a wide genomic heterogeneity, the power and challenges of next-generation sequencing (NGS) technologies to identify a patient's personal mutational landscape for tailoring the best target drugs in the individual patient are discussed. However, the available drugs are not capable of targeting aberrant signaling networks and research on functional transcriptional heterogeneity and functional genome organization is poorly understood. Therefore, the future clinical genome network medicine aiming at overcoming multiple problems in the new fields of regulatory DNA mapping, noncoding RNA, enhancer RNAs, and dynamic complexity of transcriptional circuitry are also discussed expecting in new innovation technology and strong appreciation of clinical data and evidence-based medicine. The problematic and potential solutions in the discovery of next-generation, molecular, and signaling circuitry-based biomarkers and drugs are explored. PMID:24318985

  15. Analysis of the attention network to the cervical cancer from the trajectory of users in the Federal District-BR

    Directory of Open Access Journals (Sweden)

    Jeíza Andrade Santana

    2012-04-01

    Full Text Available This study deals with the attention network to the cervical cancer (CC in the Federal District (DF from the trajectory of users of these services. Objectives: to delineate the pathway of care for women from the onset of symptoms until the completion of treatment; identify the potential and limits of the attention network to the CC in the DF. Methodology: ten qualitative and quantitative case studies were held from individual narratives. Data was collected through interviews and analysis of medical records, in 2010. Results: women have easy access to the basic health network, for consultation and colpo-cytological, but they live with the diversity of medical conducts, delayed test results, barriers in the access to the specialty consultations and examinations that support a diagnosis, leading them to have recourse to the private network. Conclusions: there is disconnection between the attention points, jeopardizing the quality and continuity of care for women with CC.

  16. [Studies on Cancer Diagnosis by Using Spectroscopy Combined with Chemometrics].

    Science.gov (United States)

    Zhang, Zhuo-yong

    2015-09-01

    Studies on cancer diagnosis using various spectroscopic methods combined with chemometrics are briefly reviewed. Elemental contents in serum samples were determined by inductively coupled plasma atomic emission spectroscopy (ICP-AES), bidirectional associative memory (BAM) networks were used to establish diagnosis models for the relationships between elemental contents and lung cancer, liver cancer, and stomach cancer, respectively. Near infrared spectroscopy (NIRS) is a non-destructive detection technology. Near infrared spectra of endometrial carcinoma samples were determined and spectral features were extracted by chemoometric methods, a fuzzy rule-based expert system (FuRES) was used for establishing diagnosis model, satisfactory results were obtained. We also proposed a novel variable selection method based on particle swarm optimization (PSO) for near infrared spectra of endometrial carcinoma samples. Spectra with optimized variable were then modeled by support victor machine (SVM). Terahertz technology is an emerging technology for non-destructive detection, which has some unique characteristics. Terahertz time domain spectroscopy (THz-TDS) was used for cervical carcinoma measurement. Absorption coefficients were calculated from the measured time domain spectra and then processed with derivative, orthogonal signal correction (PC-OSC) to reduce interference components, and then fuzzy rule-based expert system (FuRES), fuzzy optimal associative memory (FOAM), support victor machine (SVM), and partial least squares discriminant analysis (PLS-DA) were used for diagnosis model establishment. The above results provide useful information for cancer occurring and development, and provide novel approaches for early stage diagnosis of various cancers. PMID:26669135

  17. Characterization of the Usage of the Serine Metabolic Network in Human Cancer

    Directory of Open Access Journals (Sweden)

    Mahya Mehrmohamadi

    2014-11-01

    Full Text Available The serine, glycine, one-carbon (SGOC metabolic network is implicated in cancer pathogenesis, but its general functions are unknown. We carried out a computational reconstruction of the SGOC network and then characterized its expression across thousands of cancer tissues. Pathways including methylation and redox metabolism exhibited heterogeneous expression indicating a strong context dependency of their usage in tumors. From an analysis of coexpression, simultaneous up- or downregulation of nucleotide synthesis, NADPH, and glutathione synthesis was found to be a common occurrence in all cancers. Finally, we developed a method to trace the metabolic fate of serine using stable isotopes, high-resolution mass spectrometry, and a mathematical model. Although the expression of single genes didn’t appear indicative of flux, the collective expression of several genes in a given pathway allowed for successful flux prediction. Altogether, these findings identify expansive and heterogeneous functions for the SGOC metabolic network in human cancer.

  18. Identification of lung cancer miRNA-miRNA co-regulation networks through a progressive data refining approach.

    Science.gov (United States)

    Song, Renhua; Catchpoole, Daniel R; Kennedy, Paul J; Li, Jinyan

    2015-09-01

    Co-regulations of miRNAs have been much less studied than the research on regulations between miRNAs and their target genes, although these two problems are equally important for understanding the entire mechanisms of complex post-transcriptional regulations. The difficulty to construct a miRNA-miRNA co-regulation network lies in how to determine reliable miRNA pairs from various resources of data related to the same disease such as expression levels, gene ontology (GO) databases, and protein-protein interactions. Here we take a novel integrative approach to the discovery of miRNA-miRNA co-regulation networks. This approach can progressively refine the various types of data and the computational analysis results. Applied to three lung cancer miRNA expression data sets of different subtypes, our method has identified a miRNA-miRNA co-regulation network and co-regulating functional modules common to lung cancer. An example of these functional modules consists of genes SMAD2, ACVR1B, ACVR2A and ACVR2B. This module is synergistically regulated by let-7a/b/c/f, is enriched in the same GO category, and has a close proximity in the protein interaction network. We also find that the co-regulation network is scale free and that lung cancer related miRNAs have more synergism in the network. According to our literature survey and database validation, many of these results are biologically meaningful for understanding the mechanism of the complex post-transcriptional regulations in lung cancer. PMID:26026830

  19. MODEL FOR NETWORKED BUSINESS: Case study of Application Service Provider's network

    OpenAIRE

    Pesonen, Tero

    2011-01-01

    MODEL FOR NETWORKED BUSINESS Case study of Application Service Provider's network The aim of the research was to create a network business model to optimise benefits for a business network in the area of software industry. The main research questions were: ? What kind of network business models can be found? ? What are the value creation mechanisms as well as advantages and disadvantages of different models? ? How to use former frameworks to develop a network business mode...

  20. Networking and Information Technology Workforce Study: Final Report

    Data.gov (United States)

    Networking and Information Technology Research and Development, Executive Office of the President — This report presents the results of a study of the global Networking and Information Technology NIT workforce undertaken for the Networking and Information...

  1. [Effective core formulae for lung cancer based on complex network and survival analysis].

    Science.gov (United States)

    Yang, Ming; Li, Jia-qi; Jiao, Li-jing; Chen, Pei-qi; Xu, Ling

    2015-11-01

    The study on the effective core formulae (CEF) not only summarized traditional chinese medicine (TCM) treatment experience, but also helped reveal the underlying knowledge in the formulation of TCM prescriptions. The aim of the present paper was to investigate the method of data mining for the discovery of core effective formulae for lung cancer. In the present study, a prescription fingerprint approach was used to characterize the staged prescription information of patients. The D index was used to screen potential beneficial herbs. Then, based on a herbal compatibility network, the maximal clique searching algorithm (BK algorithm) and survival analysis were applied to discover CEF for lung cancer, and a mining analysis was made for the 322 cases from Longhua hospital. The correlation between prescriptions and survival time was analyzed by prescription fingerprints. Forty-three potentially beneficial herbs were obtained, and two CEFs were significant for the survival time by a parametric survival model based on lognormal distribution, the results were verified by a multivariate survival model. The rules of combination of the two CEFs basically conform to TCM onco-therapeutic theory of strengthening the body resistance and the actual conditions in clinic. All results showed that the established approach was feasible for discovering the core effective formulae for lung cancer and mining survival data for complex TCM onco-therapy. PMID:27097428

  2. Comparison of molecular signatures in large scale protein interaction networks in normal and cancer conditions of brain, cervix, lung, ovary and prostate

    Directory of Open Access Journals (Sweden)

    Rajat Suvra Banik

    2016-04-01

    Full Text Available Background Cancer, the disease of intricateness, has remained beyond our complete perception so far. Network systems biology (termed NSB is one of the most recent approaches to understand the unsolved problems of cancer development. From this perspective, differential protein networks (PINs have been developed based on the expression and interaction data of brain, cervix, lung, ovary and prostate for normal and cancer conditions. Methods Differential expression database GeneHub-GEPIS and interaction database STRING were applied for primary data retrieval. Cytoscape platform and related plugins named network analyzer; MCODE and ModuLand were used for visualization of complex networks and subsequent analysis. Results Significant differences were observedamong different common network parameters between normal and cancer states. Moreover, molecular complex numbers and overlapping modularization found to be varying significantly between normal and cancerous tissues. The number of the ranked molecular complex and the nodes involved in the overlapping modules were meaningfully higher in cancer condition.We identified79 commonly up regulated and 6 down regulated proteins in all five tissues. Number of nodes, edges; multi edge node pair, and average number of neighbor are found with significant fluctuations in case of cervix and ovarian tissues.Cluster analysis showed that the association of Myc and Cdk4 proteins is very close with other proteins within the network.Cervix and ovarian tissue showed higher increment of the molecular complex number and overlapping module network during cancer in comparison to normal state. Conclusions The differential molecular signatures identified from the work can be studied further to understand the cancer signaling process, and potential therapeutic and detection approach. [Biomed Res Ther 2016; 3(4.000: 605-615

  3. Case studies of attacks on communication networks

    Energy Technology Data Exchange (ETDEWEB)

    Kang, Sin Bok; Han, Eon Suk [Korea Atomic Energy Research Institute, Taejon (Korea, Republic of)

    1996-06-15

    Recently, as the computer hardware and communications are developed, the data exchange through inter-networking has been highlighted and the data is being recognized as a great asset. Most of the organizations, businesses and enterprises are open to the external world-computer communication networks, attention must be focused on the securities of the information infrastructure. A government organization has been developing 'Circuits Analyzers', and 'Hacker-Tracking Program' and is struggling to track down sneakers. In this report, we analyze the contents of the cases where the communication network has been invaded, from the past up until now in Korea. This report also contains the result of a study on E-mail security, for the protection of KAERI Integrated Management Information System under which utilizes the CALS concepts and web services. (Author)

  4. Case studies of attacks on communication networks

    International Nuclear Information System (INIS)

    Recently, as the computer hardware and communications are developed, the data exchange through inter-networking has been highlighted and the data is being recognized as a great asset. Most of the organizations, businesses and enterprises are open to the external world-computer communication networks, attention must be focused on the securities of the information infrastructure. A government organization has been developing 'Circuits Analyzers', and 'Hacker-Tracking Program' and is struggling to track down sneakers. In this report, we analyze the contents of the cases where the communication network has been invaded, from the past up until now in Korea. This report also contains the result of a study on E-mail security, for the protection of KAERI Integrated Management Information System under which utilizes the CALS concepts and web services. (Author)

  5. Identifying Cancer Subtypes from miRNA-TF-mRNA Regulatory Networks and Expression Data.

    Directory of Open Access Journals (Sweden)

    Taosheng Xu

    Full Text Available Identifying cancer subtypes is an important component of the personalised medicine framework. An increasing number of computational methods have been developed to identify cancer subtypes. However, existing methods rarely use information from gene regulatory networks to facilitate the subtype identification. It is widely accepted that gene regulatory networks play crucial roles in understanding the mechanisms of diseases. Different cancer subtypes are likely caused by different regulatory mechanisms. Therefore, there are great opportunities for developing methods that can utilise network information in identifying cancer subtypes.In this paper, we propose a method, weighted similarity network fusion (WSNF, to utilise the information in the complex miRNA-TF-mRNA regulatory network in identifying cancer subtypes. We firstly build the regulatory network where the nodes represent the features, i.e. the microRNAs (miRNAs, transcription factors (TFs and messenger RNAs (mRNAs and the edges indicate the interactions between the features. The interactions are retrieved from various interatomic databases. We then use the network information and the expression data of the miRNAs, TFs and mRNAs to calculate the weight of the features, representing the level of importance of the features. The feature weight is then integrated into a network fusion approach to cluster the samples (patients and thus to identify cancer subtypes. We applied our method to the TCGA breast invasive carcinoma (BRCA and glioblastoma multiforme (GBM datasets. The experimental results show that WSNF performs better than the other commonly used computational methods, and the information from miRNA-TF-mRNA regulatory network contributes to the performance improvement. The WSNF method successfully identified five breast cancer subtypes and three GBM subtypes which show significantly different survival patterns. We observed that the expression patterns of the features in some mi

  6. Classification of Cancer Gene Selection Using Random Forest and Neural Network Based Ensemble Classifier

    Directory of Open Access Journals (Sweden)

    Jogendra Kushwah

    2013-06-01

    Full Text Available The free radical gene classification of cancer diseases is challenging job in biomedical data engineering. The improving of classification of gene selection of cancer diseases various classifier are used, but the classification of classifier are not validate. So ensemble classifier is used for cancer gene classification using neural network classifier with random forest tree. The random forest tree is ensembling technique of classifier in this technique the number of classifier ensemble of their leaf node of class of classifier. In this paper we combined neural network with random forest ensemble classifier for classification of cancer gene selection for diagnose analysis of cancer diseases. The proposed method is different from most of the methods of ensemble classifier, which follow an input output paradigm of neural network, where the members of the ensemble are selected from a set of neural network classifier. the number of classifiers is determined during the rising procedure of the forest. Furthermore, the proposed method produces an ensemble not only correct, but also assorted, ensuring the two important properties that should characterize an ensemble classifier. For empirical evaluation of our proposed method we used UCI cancer diseases data set for classification. Our experimental result shows that better result in compression of random forest tree classification.

  7. STUDIES OF DBP-INDUCED COLON CANCER

    Science.gov (United States)

    Induction of colon carcinomas by trihalomethanes in rats may be relevant to epidemiological findings of increased incidences of colon-rectal cancer associated with exposure to chlorination byproducts. These studies have demonstrated that the brominated THMs in drinking water ind...

  8. Learning about Cancer by Studying Stem Cells

    Science.gov (United States)

    ... View All Articles | Inside Life Science Home Page Learning About Cancer by Studying Stem Cells By Sharon ... culture. Credit: Anne Weston, London Research Institute, CRUK (image available under a Creative Commons Attribution, Non-Commercial, ...

  9. Constructing disease-specific gene networks using pair-wise relevance metric: Application to colon cancer identifies interleukin 8, desmin and enolase 1 as the central elements

    Directory of Open Access Journals (Sweden)

    Jiang Wei

    2008-08-01

    Full Text Available Abstract Background With the advance of large-scale omics technologies, it is now feasible to reversely engineer the underlying genetic networks that describe the complex interplays of molecular elements that lead to complex diseases. Current networking approaches are mainly focusing on building genetic networks at large without probing the interaction mechanisms specific to a physiological or disease condition. The aim of this study was thus to develop such a novel networking approach based on the relevance concept, which is ideal to reveal integrative effects of multiple genes in the underlying genetic circuit for complex diseases. Results The approach started with identification of multiple disease pathways, called a gene forest, in which the genes extracted from the decision forest constructed by supervised learning of the genome-wide transcriptional profiles for patients and normal samples. Based on the newly identified disease mechanisms, a novel pair-wise relevance metric, adjusted frequency value, was used to define the degree of genetic relationship between two molecular determinants. We applied the proposed method to analyze a publicly available microarray dataset for colon cancer. The results demonstrated that the colon cancer-specific gene network captured the most important genetic interactions in several cellular processes, such as proliferation, apoptosis, differentiation, mitogenesis and immunity, which are known to be pivotal for tumourigenesis. Further analysis of the topological architecture of the network identified three known hub cancer genes [interleukin 8 (IL8 (p ≈ 0, desmin (DES (p = 2.71 × 10-6 and enolase 1 (ENO1 (p = 4.19 × 10-5], while two novel hub genes [RNA binding motif protein 9 (RBM9 (p = 1.50 × 10-4 and ribosomal protein L30 (RPL30 (p = 1.50 × 10-4] may define new central elements in the gene network specific to colon cancer. Gene Ontology (GO based analysis of the colon cancer-specific gene network and

  10. Network Medicine Strikes a Blow against Breast Cancer

    DEFF Research Database (Denmark)

    Erler, Janine Terra; Linding, Rune

    2012-01-01

    Drug development for complex diseases is shifting from targeting individual proteins or genes to systems-based attacks targeting dynamic network states. Lee et al. now reveal how the progressive rewiring of a signaling network over time following EGF receptor inhibition leaves triple-negative bre......Drug development for complex diseases is shifting from targeting individual proteins or genes to systems-based attacks targeting dynamic network states. Lee et al. now reveal how the progressive rewiring of a signaling network over time following EGF receptor inhibition leaves triple...

  11. Social networks and cooperation: a bibliometric study

    Directory of Open Access Journals (Sweden)

    Ana Paula Lopes

    2013-05-01

    Full Text Available The social network analysis involves social and behavioral science. The decentralization of productive activities, such as the formation of "network organizations" as a result of downsizing of large corporate structures of the past, marked by outsoucing and formation of alliances, shows the importance of this theme. The main objective of this paper is to analyze the theory of cooperation and social networks over a period of 24 years. For this, was performed a bibliometric study with content analysis. The database chosen for the initial sample search was ISI Web of Science. The search topics were “social network” and “cooperation”. Were analyzed 97 articles and their references, through networks of citations. The main identified research groups dealing with issues related to trust, strategic alliances, natural cooperation, game theory, social capital, intensity of interaction, reciprocity and innovation. It was found that the publications occurred in a large number of journals, which indicates that the theme is multidisciplinary, and only five journals published at least three articles. Although the first publication has occurred in 1987, was from 2006 that the publications effectively increased. The areas most related to the theme of the research were performance, evolution, management, graphics, model and game theory.

  12. Cancer incidence study in Mesa County, Colorado

    International Nuclear Information System (INIS)

    In November of 1982 the Colorado Department of Health completed an epidemiologic investigation of leukemia, multiple myeloma, and cancers of the lung, stomach, pancreas and colon in Mesa County, Colorado for the years 1970 to 1979. This investigation was performed in response to a concern that the presence of uranium mill tailings in some Mesa County homes presents a potential cancer hazard. The results of the investigation show that the incidence of multiple myeloma, colon, stomach and pancreatic cancer are not above expected rates. The incidence of leukemia is not above expected rates for the entire study period, 1970 to 1979. The incidence of lung cancer appears elevated when compared to the The Third National Cancer Survey data for Colorado but lower than expected when compared to Surveillance, Epidemiology and End Results data. To further examine the leukemia and lung cancer incidence findings, a case/control study was conducted. The controls consisted of colon, stomach and pancreatic cancer cases. The results of the leukemia case/control analysis show no association with the radiation exposure variables: occupational radiation exposure; uranium mining exposure; having ever lived in a type A home (uranium tailings home); and radiation therapy. The lung cancer case/control analysis shows a significant association with only the radiation exposure variable, uranium mining history, indicating cases were more likely to have been uranium miners than were controls. As with leukemia, the study found no association between lung cancer and living in a uranium mill tailings home. The relatively low radiation exposures typical of type A homes and the small number of persons exposed make it very difficult to establish, by epidemiologic methods, that a risk exists

  13. Statistical study on cancer patients of cancer research hospital

    International Nuclear Information System (INIS)

    The total number of malignant neoplasms included on this study 7,787 cases(10.4%) among 74,928 cases for 2 years. On sex, females with 57.6% were much more than males with 42.4%. The highest proportion of cancer 50-59 age group. The most frequent primary site among males was found to be stomach with 36.2%, followed by liver(12.3%), lung(12.2%), esophagus(15.5%) and larynx(4.9%). In females, the first order was uterine cervix with 47.3%, followed most common type of morphology of malignant neoplasms was adenocarcinoma(39.0%) in males an squamous cell carcinoma(56.2%) in females. Among the cancer patients initially diagnosed in this hospital, the proportion of malignant neoplasms by the extent of disease was 4.6% for patient with carcinoma-in-situ, 76.3% for patients with localized involvement, 11.6% for patients with regional involvement and 7.5% for patients with distant involvement. Among,the cancer patients initially treatment in this hospital, the proportion of malignant neoplasms by the method of treatment was 19.0% for surgery, 27.7 for radiotherapy and 24.2% for chemotherapy. Among the cancer patients confirmed by medical records, 11.2% was traced more than 5 years. (Author)

  14. Artificial neural networks for processing fluorescence spectroscopy data in skin cancer diagnostics

    International Nuclear Information System (INIS)

    Over the years various optical spectroscopic techniques have been widely used as diagnostic tools in the discrimination of many types of malignant diseases. Recently, synchronous fluorescent spectroscopy (SFS) coupled with chemometrics has been applied in cancer diagnostics. The SFS method involves simultaneous scanning of both emission and excitation wavelengths while keeping the interval of wavelengths (constant-wavelength mode) or frequencies (constant-energy mode) between them constant. This method is fast, relatively inexpensive, sensitive and non-invasive. Total synchronous fluorescence spectra of normal skin, nevus and melanoma samples were used as input for training of artificial neural networks. Two different types of artificial neural networks were trained, the self-organizing map and the feed-forward neural network. Histopathology results of investigated skin samples were used as the gold standard for network output. Based on the obtained classification success rate of neural networks, we concluded that both networks provided high sensitivity with classification errors between 2 and 4%. (paper)

  15. Cancer risk at low doses of ionizing radiation: artificial neural networks inference from atomic bomb survivors

    OpenAIRE

    Sasaki, Masao S.; Tachibana, Akira; Takeda, Shunichi

    2013-01-01

    Cancer risk at low doses of ionizing radiation remains poorly defined because of ambiguity in the quantitative link to doses below 0.2 Sv in atomic bomb survivors in Hiroshima and Nagasaki arising from limitations in the statistical power and information available on overall radiation dose. To deal with these difficulties, a novel nonparametric statistics based on the ‘integrate-and-fire’ algorithm of artificial neural networks was developed and tested in cancer databases established by the R...

  16. Cancer risk at low doses of ionizing radiation: artificial neural networks inference from atomic bomb survivors.

    OpenAIRE

    Sasaki, Masao S.; Tachibana, Akira; Takeda, Shunichi

    2014-01-01

    Cancer risk at low doses of ionizing radiation remains poorly defined because of ambiguity in the quantitative link to doses below 0.2 Sv in atomic bomb survivors in Hiroshima and Nagasaki arising from limitations in the statistical power and information available on overall radiation dose. To deal with these difficulties, a novel nonparametric statistics based on the 'integrate-and-fire' algorithm of artificial neural networks was developed and tested in cancer databases established by the R...

  17. System-scale network modeling of cancer using EPoC.

    Science.gov (United States)

    Abenius, Tobias; Jörnsten, Rebecka; Kling, Teresia; Schmidt, Linnéa; Sánchez, José; Nelander, Sven

    2012-01-01

    One of the central problems of cancer systems biology is to understand the complex molecular changes of cancerous cells and tissues, and use this understanding to support the development of new targeted therapies. EPoC (Endogenous Perturbation analysis of Cancer) is a network modeling technique for tumor molecular profiles. EPoC models are constructed from combined copy number aberration (CNA) and mRNA data and aim to (1) identify genes whose copy number aberrations significantly affect target mRNA expression and (2) generate markers for long- and short-term survival of cancer patients. Models are constructed by a combination of regression and bootstrapping methods. Prognostic scores are obtained from a singular value decomposition of the networks. We have previously analyzed the performance of EPoC using glioblastoma data from The Cancer Genome Atlas (TCGA) consortium, and have shown that resulting network models contain both known and candidate disease-relevant genes as network hubs, as well as uncover predictors of patient survival. Here, we give a practical guide how to perform EPoC modeling in practice using R, and present a set of alternative modeling frameworks. PMID:22161356

  18. Neural networks improve brain cancer detection with Raman spectroscopy in the presence of light artifacts

    Science.gov (United States)

    Jermyn, Michael; Desroches, Joannie; Mercier, Jeanne; St-Arnaud, Karl; Guiot, Marie-Christine; Petrecca, Kevin; Leblond, Frederic

    2016-03-01

    It is often difficult to identify cancer tissue during brain cancer (glioma) surgery. Gliomas invade into areas of normal brain, and this cancer invasion is frequently not detected using standard preoperative magnetic resonance imaging (MRI). This results in enduring invasive cancer following surgery and leads to recurrence. A hand-held Raman spectroscopy is able to rapidly detect cancer invasion in patients with grade 2-4 gliomas. However, ambient light sources can produce spectral artifacts which inhibit the ability to distinguish between cancer and normal tissue using the spectral information available. To address this issue, we have demonstrated that artificial neural networks (ANN) can accurately classify invasive cancer versus normal brain tissue, even when including measurements with significant spectral artifacts from external light sources. The non-parametric and adaptive model used by ANN makes it suitable for detecting complex non-linear spectral characteristics associated with different tissues and the confounding presence of light artifacts. The use of ANN for brain cancer detection with Raman spectroscopy, in the presence of light artifacts, improves the robustness and clinical translation potential for intraoperative use. Integration with the neurosurgical workflow is facilitated by accounting for the effect of light artifacts which may occur, due to operating room lights, neuronavigation systems, windows, or other light sources. The ability to rapidly detect invasive brain cancer under these conditions may reduce residual cancer remaining after surgery, and thereby improve patient survival.

  19. Curcumin AntiCancer Studies in Pancreatic Cancer

    Science.gov (United States)

    Bimonte, Sabrina; Barbieri, Antonio; Leongito, Maddalena; Piccirillo, Mauro; Giudice, Aldo; Pivonello, Claudia; de Angelis, Cristina; Granata, Vincenza; Palaia, Raffaele; Izzo, Francesco

    2016-01-01

    Pancreatic cancer (PC) is one of the deadliest cancers worldwide. Surgical resection remains the only curative therapeutic treatment for this disease, although only the minority of patients can be resected due to late diagnosis. Systemic gemcitabine-based chemotherapy plus nab-paclitaxel are used as the gold-standard therapy for patients with advanced PC; although this treatment is associated with a better overall survival compared to the old treatment, many side effects and poor results are still present. Therefore, new alternative therapies have been considered for treatment of advanced PC. Several preclinical studies have demonstrated that curcumin, a naturally occurring polyphenolic compound, has anticancer effects against different types of cancer, including PC, by modulating many molecular targets. Regarding PC, in vitro studies have shown potent cytotoxic effects of curcumin on different PC cell lines including MiaPaCa-2, Panc-1, AsPC-1, and BxPC-3. In addition, in vivo studies on PC models have shown that the anti-proliferative effects of curcumin are caused by the inhibition of oxidative stress and angiogenesis and are due to the induction of apoptosis. On the basis of these results, several researchers tested the anticancer effects of curcumin in clinical trials, trying to overcome the poor bioavailability of this agent by developing new bioavailable forms of curcumin. In this article, we review the results of pre-clinical and clinical studies on the effects of curcumin in the treatment of PC. PMID:27438851

  20. Curcumin AntiCancer Studies in Pancreatic Cancer.

    Science.gov (United States)

    Bimonte, Sabrina; Barbieri, Antonio; Leongito, Maddalena; Piccirillo, Mauro; Giudice, Aldo; Pivonello, Claudia; de Angelis, Cristina; Granata, Vincenza; Palaia, Raffaele; Izzo, Francesco

    2016-01-01

    Pancreatic cancer (PC) is one of the deadliest cancers worldwide. Surgical resection remains the only curative therapeutic treatment for this disease, although only the minority of patients can be resected due to late diagnosis. Systemic gemcitabine-based chemotherapy plus nab-paclitaxel are used as the gold-standard therapy for patients with advanced PC; although this treatment is associated with a better overall survival compared to the old treatment, many side effects and poor results are still present. Therefore, new alternative therapies have been considered for treatment of advanced PC. Several preclinical studies have demonstrated that curcumin, a naturally occurring polyphenolic compound, has anticancer effects against different types of cancer, including PC, by modulating many molecular targets. Regarding PC, in vitro studies have shown potent cytotoxic effects of curcumin on different PC cell lines including MiaPaCa-2, Panc-1, AsPC-1, and BxPC-3. In addition, in vivo studies on PC models have shown that the anti-proliferative effects of curcumin are caused by the inhibition of oxidative stress and angiogenesis and are due to the induction of apoptosis. On the basis of these results, several researchers tested the anticancer effects of curcumin in clinical trials, trying to overcome the poor bioavailability of this agent by developing new bioavailable forms of curcumin. In this article, we review the results of pre-clinical and clinical studies on the effects of curcumin in the treatment of PC. PMID:27438851

  1. PRE-DIAGNOSIS OF LUNG CANCER USING FEED FORWARD NEURAL NETWORK AND BACK PROPAGATION ALGORITHM

    Directory of Open Access Journals (Sweden)

    Mr. Abhinav Vishwa

    2011-09-01

    Full Text Available Cancer is the most important cause of death for both men and women. The early detection of cancer can be helpful in curing the disease completely. So the requirement of techniques to detect the occurrence of cancer nodule in early stage is increasing. A disease that is commonly misdiagnosed is lung cancer. Artificial Neural Networks (ANNs play a vital role in the medical field in solving various health problems like acute diseases and even other mild diseases. Earlier diagnosis of Lung Cancer saves enormous lives, failing which may lead to other severe problems causing sudden fatal end. Its cure rate and prognosis depends mainly on the early detection and diagnosis of the disease. This paper provides a Feed Forward Artificial Neural Network Model for early detection of lung cancer. The model consists of an input layer, a hidden layer and an output layer. The network is trained with one hidden layer and one output layer by giving twelve inputs. One of the most common forms of medical malpractices globally is an error in diagnosis. The paper provides a formula for Error Detection and on the basis of error weights are adjusted and system is improved. Aim of the paper is to propose a model for early detection and correct diagnosis of the disease which will help the doctor in saving the life of the patient.

  2. Radiotherapy waiting times for women with breast cancer: a population-based cohort study

    Directory of Open Access Journals (Sweden)

    Sainsbury Richard

    2007-05-01

    Full Text Available Abstract Background Waiting times for cancer patients are a national priority in the UK. Previous studies have shown variation between cancer networks in the time between diagnosis and start of radiotherapy for all cancer patients. Studies of the relationship between delay in receiving treatment and survival of breast cancer patients have been inconsistent. This study aimed to examine factors associated with waiting times for radiotherapy for breast cancer patients. Methods 35,354 women resident in South East England and diagnosed with breast cancer between 1992 and 2001 who received radiotherapy within six months of diagnosis were identified from the Thames Cancer Registry. Time to radiotherapy was measured from either the date of diagnosis or the start of the previous treatment, whichever was shorter. Unadjusted and adjusted logistic regression models were fitted to examine whether patients received radiotherapy within 60 days of their diagnosis or previous treatment. Results The adjusted proportions of patients receiving radiotherapy within 60 days varied significantly between different cancer networks (range: 43% to 81%, and decreased from 68% in 1992 to 33% in 2001. After adjustment there was no association between deprivation of area of residence, age or stage and radiotherapy wait. Median time waited to radiotherapy increased over the study period whether measured from the start of chemotherapy, hormone therapy, surgery or the date of diagnosis. Conclusion This study covered a period of time before the investment following the Cancer Plan of 2000. Results are consistent with other findings suggesting variation between cancer networks and increasing waits over time. Further studies should examine different methods of measuring waiting time, the causes and consequences of waits for radiotherapy and the effect of current initiatives and investments.

  3. Radiotherapy waiting times for women with breast cancer: a population-based cohort study

    International Nuclear Information System (INIS)

    Waiting times for cancer patients are a national priority in the UK. Previous studies have shown variation between cancer networks in the time between diagnosis and start of radiotherapy for all cancer patients. Studies of the relationship between delay in receiving treatment and survival of breast cancer patients have been inconsistent. This study aimed to examine factors associated with waiting times for radiotherapy for breast cancer patients. 35,354 women resident in South East England and diagnosed with breast cancer between 1992 and 2001 who received radiotherapy within six months of diagnosis were identified from the Thames Cancer Registry. Time to radiotherapy was measured from either the date of diagnosis or the start of the previous treatment, whichever was shorter. Unadjusted and adjusted logistic regression models were fitted to examine whether patients received radiotherapy within 60 days of their diagnosis or previous treatment. The adjusted proportions of patients receiving radiotherapy within 60 days varied significantly between different cancer networks (range: 43% to 81%), and decreased from 68% in 1992 to 33% in 2001. After adjustment there was no association between deprivation of area of residence, age or stage and radiotherapy wait. Median time waited to radiotherapy increased over the study period whether measured from the start of chemotherapy, hormone therapy, surgery or the date of diagnosis. This study covered a period of time before the investment following the Cancer Plan of 2000. Results are consistent with other findings suggesting variation between cancer networks and increasing waits over time. Further studies should examine different methods of measuring waiting time, the causes and consequences of waits for radiotherapy and the effect of current initiatives and investments

  4. An integrative analysis of cellular contexts, miRNAs and mRNAs reveals network clusters associated with antiestrogen-resistant breast cancer cells

    Directory of Open Access Journals (Sweden)

    Nam Seungyoon

    2012-12-01

    Full Text Available Abstract Background A major goal of the field of systems biology is to translate genome-wide profiling data (e.g., mRNAs, miRNAs into interpretable functional networks. However, employing a systems biology approach to better understand the complexities underlying drug resistance phenotypes in cancer continues to represent a significant challenge to the field. Previously, we derived two drug-resistant breast cancer sublines (tamoxifen- and fulvestrant-resistant cell lines from the MCF7 breast cancer cell line and performed genome-wide mRNA and microRNA profiling to identify differential molecular pathways underlying acquired resistance to these important antiestrogens. In the current study, to further define molecular characteristics of acquired antiestrogen resistance we constructed an “integrative network”. We combined joint miRNA-mRNA expression profiles, cancer contexts, miRNA-target mRNA relationships, and miRNA upstream regulators. In particular, to reduce the probability of false positive connections in the network, experimentally validated, rather than prediction-oriented, databases were utilized to obtain connectivity. Also, to improve biological interpretation, cancer contexts were incorporated into the network connectivity. Results Based on the integrative network, we extracted “substructures” (network clusters representing the drug resistant states (tamoxifen- or fulvestrant-resistance cells compared to drug sensitive state (parental MCF7 cells. We identified un-described network clusters that contribute to antiestrogen resistance consisting of miR-146a, -27a, -145, -21, -155, -15a, -125b, and let-7s, in addition to the previously described miR-221/222. Conclusions By integrating miRNA-related network, gene/miRNA expression and text-mining, the current study provides a computational-based systems biology approach for further investigating the molecular mechanism underlying antiestrogen resistance in breast cancer cells. In

  5. Diagnosis of Cervical Cancer Using the Median M-Type Radial Basis Function (MMRBF) Neural Network

    Science.gov (United States)

    Gómez-Mayorga, Margarita E.; Gallegos-Funes, Francisco J.; de-La-Rosa-Vázquez, José M.; Cruz-Santiago, Rene; Ponomaryov, Volodymyr

    The automatic analysis of Pap smear microscopic images is one of the most interesting fields in biomedical image processing. In this paper we present the capability of the Median M-Type Radial Basis Function (MMRBF) neural network in the classification of cervical cancer cells. From simulation results we observe that the MMRBF neural network has better classification capabilities in comparison with the Median RBF algorithm used as comparative.

  6. Cancer attractors: A systems view of tumors from a gene network dynamics and developmental perspective

    OpenAIRE

    Huang, Sui; Ernberg, Ingemar; Kauffman, Stuart

    2009-01-01

    Cell lineage commitment and differentiation are governed by a complex gene regulatory network. Disruption of these processes by inappropriate regulatory signals and by mutational rewiring of the network can lead to tumorigenesis. Cancer cells often exhibit immature or embryonic traits and dysregulated developmental genes can act as oncogenes. However, the prevailing paradigm of somatic evolution and multi-step tumorigenesis, while useful in many instances, offers no logically coherent reason ...

  7. Predicting cancer drug mechanisms of action using molecular network signatures.

    Science.gov (United States)

    Pritchard, Justin R; Bruno, Peter M; Hemann, Michael T; Lauffenburger, Douglas A

    2013-07-01

    Molecular signatures are a powerful approach to characterize novel small molecules and derivatized small molecule libraries. While new experimental techniques are being developed in diverse model systems, informatics approaches lag behind these exciting advances. We propose an analysis pipeline for signature based drug annotation. We develop an integrated strategy, utilizing supervised and unsupervised learning methodologies that are bridged by network based statistics. Using this approach we can: 1, predict new examples of drug mechanisms that we trained our model upon; 2, identify "New" mechanisms of action that do not belong to drug categories that our model was trained upon; and 3, update our training sets with these "New" mechanisms and accurately predict entirely distinct examples from these new categories. Thus, not only does our strategy provide statistical generalization but it also offers biological generalization. Additionally, we show that our approach is applicable to diverse types of data, and that distinct biological mechanisms characterize its resolution of categories across different data types. As particular examples, we find that our predictive resolution of drug mechanisms from mRNA expression studies relies upon the analog measurement of a cell stress-related transcriptional rheostat along with a transcriptional representation of cell cycle state; whereas, in contrast, drug mechanism resolution from functional RNAi studies rely upon more dichotomous (e.g., either enhances or inhibits) association with cell death states. We believe that our approach can facilitate molecular signature-based drug mechanism understanding from different technology platforms and across diverse biological phenomena. PMID:23287973

  8. 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.

  9. Functional analysis of prognostic gene expression network genes in metastatic breast cancer models.

    Directory of Open Access Journals (Sweden)

    Thomas R Geiger

    Full Text Available Identification of conserved co-expression networks is a useful tool for clustering groups of genes enriched for common molecular or cellular functions [1]. The relative importance of genes within networks can frequently be inferred by the degree of connectivity, with those displaying high connectivity being significantly more likely to be associated with specific molecular functions [2]. Previously we utilized cross-species network analysis to identify two network modules that were significantly associated with distant metastasis free survival in breast cancer. Here, we validate one of the highly connected genes as a metastasis associated gene. Tpx2, the most highly connected gene within a proliferation network specifically prognostic for estrogen receptor positive (ER+ breast cancers, enhances metastatic disease, but in a tumor autonomous, proliferation-independent manner. Histologic analysis suggests instead that variation of TPX2 levels within disseminated tumor cells may influence the transition between dormant to actively proliferating cells in the secondary site. These results support the co-expression network approach for identification of new metastasis-associated genes to provide new information regarding the etiology of breast cancer progression and metastatic disease.

  10. Targeting an IKBKE cytokine network impairs triple-negative breast cancer growth

    OpenAIRE

    Barbie, Thanh U.; Alexe, Gabriela; Aref, Amir R.; Li, Shunqiang; Zhu, Zehua; Zhang, Xiuli; Imamura, Yu; Thai, Tran C.; Huang, Ying; Bowden, Michaela; Herndon, John; Cohoon, Travis J.; Fleming, Timothy; Tamayo, Pablo; Mesirov, Jill P.

    2014-01-01

    Triple-negative breast cancers (TNBCs) are a heterogeneous set of cancers that are defined by the absence of hormone receptor expression and HER2 amplification. Here, we found that inducible IκB kinase–related (IKK-related) kinase IKBKE expression and JAK/STAT pathway activation compose a cytokine signaling network in the immune-activated subset of TNBC. We found that treatment of cultured IKBKE-driven breast cancer cells with CYT387, a potent inhibitor of TBK1/IKBKE and JAK signaling, impair...

  11. Mobile-ip Aeronautical Network Simulation Study

    Science.gov (United States)

    Ivancic, William D.; Tran, Diepchi T.

    2001-01-01

    NASA is interested in applying mobile Internet protocol (mobile-ip) technologies to its space and aeronautics programs. In particular, mobile-ip will play a major role in the Advanced Aeronautic Transportation Technology (AATT), the Weather Information Communication (WINCOMM), and the Small Aircraft Transportation System (SATS) aeronautics programs. This report presents the results of a simulation study of mobile-ip for an aeronautical network. The study was performed to determine the performance of the transmission control protocol (TCP) in a mobile-ip environment and to gain an understanding of how long delays, handoffs, and noisy channels affect mobile-ip performance.

  12. The Cervix Cancer Research Network (CCRN: Increasing access to cancer clinical trials in low- and middle-income countries

    Directory of Open Access Journals (Sweden)

    Gita eSuneja

    2015-02-01

    Full Text Available Introduction: The burden of cervical cancer is large and growing in developing countries, due in large part to limited access to screening services and lack of human papillomavirus (HPV vaccination. In spite of modern advances in diagnostic and therapeutic modalities, outcomes from cervical cancer have not markedly improved in recent years. Novel clinical trials are urgently needed to improve outcomes from cervical cancer worldwide. Methods: The Cervix Cancer Research Network (CCRN, a subsidiary of the Gynecologic Cancer InterGroup (GCIG, is a multi-national, multi-institutional consortium of physicians and scientists focused on improving cervical cancer outcomes worldwide by making cancer clinical trials available in low-, middle-, and high-income countries. Standard operating procedures for participation in CCRN include a pre-qualifying questionnaire to evaluate clinical activities and research infrastructure, followed by a site visit. Once a site is approved, they may choose to participate in one of four currently accruing clinical trials.Results: To date, 13 different CCRN site visits have been performed. Of these 13 sites visited, 10 have been approved as CCRN sites including Tata Memorial Hospital, India; Bangalore, India; Trivandrum, India; Ramathibodi, Thailand; Siriaj, Thailand; Pramongkutklao, Thailand; Ho Chi Minh, Vietnam; Blokhin Russian Cancer Research Center; the Hertzen Moscow Cancer Research Institute; and the Russian Scientific Center of Roentgenoradiology. The four currently accruing clinical trials are TACO, OUTBACK, INTERLACE, and SHAPE.Discussion: The CCRN has successfully enrolled 10 sites in developing countries to participate in four randomized clinical trials. The primary objectives are to provide novel therapeutics to regions with the greatest need and to improve the validity and generalizability of clinical trial results by enrolling a diverse sample of patients.

  13. Artificial neural network applications in ionospheric studies

    Directory of Open Access Journals (Sweden)

    L. R. Cander

    1998-06-01

    Full Text Available The ionosphere of Earth exhibits considerable spatial changes and has large temporal variability of various timescales related to the mechanisms of creation, decay and transport of space ionospheric plasma. Many techniques for modelling electron density profiles through entire ionosphere have been developed in order to solve the "age-old problem" of ionospheric physics which has not yet been fully solved. A new way to address this problem is by applying artificial intelligence methodologies to current large amounts of solar-terrestrial and ionospheric data. It is the aim of this paper to show by the most recent examples that modern development of numerical models for ionospheric monthly median long-term prediction and daily hourly short-term forecasting may proceed successfully applying the artificial neural networks. The performance of these techniques is illustrated with different artificial neural networks developed to model and predict the temporal and spatial variations of ionospheric critical frequency, f0F2 and Total Electron Content (TEC. Comparisons between results obtained by the proposed approaches and measured f0F2 and TEC data provide prospects for future applications of the artificial neural networks in ionospheric studies.

  14. Integrin and gene network analysis reveals that ITGA5 and ITGB1 are prognostic in non-small-cell lung cancer

    OpenAIRE

    Zheng WQ; Jiang CH; Li RF

    2016-01-01

    Weiqi Zheng, Caihui Jiang, Ruifeng Li Department of Radiation Oncology, Guangqian Hospital, Quanzhou, Fujian, People’s Republic of China Background: Integrin expression has been identified as a prognostic factor in non-small-cell lung cancer (NSCLC). This study was aimed at determining the predictive ability of integrins and associated genes identified within the molecular network.Patients and methods: A total of 959 patients with NSCLC from The Cancer Genome Atlas cohorts were en...

  15. Studies on retrospective analysis of leading primary cancers and improvement of cancer treatment method in Korea cancer center hospital

    International Nuclear Information System (INIS)

    a. Retrospective studies included cancers of the stomach, breast, bladder, salivary gland, thyroid, esophagus, endometrium and ovary. (1) Study cancers were analyzed about clinical characteristics, prognostic factors influenced on survival time, survival rate, etc. (2) Among 5,305 study patients, 1,405(26.5%) were identified with death, 3,485(65.7%) were alive and 415(7.8%) were not identified. b. Prospective studies included 10 subjects such as bladder cancer, retinoblastoma, malignant patients, gastric cancer, uterine cervix cancer and ovary cancer. We are continuing registering eligible study patients. c. Results for 11 papers were published at the journal. d. We established follow-up system in order to identify the survival for study subjects through National Statistical Office, Government Provincial Office and Cancer Registration System at Korea Cancer Center Hospital. e. At present, we are establishing computerized registration system about case report form for study cancers

  16. Studies on retrospective analysis of leading primary cancers and improvement of cancer treatment method in Korea cancer center hospital

    Energy Technology Data Exchange (ETDEWEB)

    Lee, Jong In; Lee, Kang Hyun; Choi, Soo Yong; Kim, Ki Wha; Kang, Sung Mok

    2000-12-01

    a. Retrospective studies included cancers of the stomach, breast, bladder, salivary gland, thyroid, esophagus, endometrium and ovary. (1) Study cancers were analyzed about clinical characteristics, prognostic factors influenced on survival time, survival rate, etc. (2) Among 5,305 study patients, 1,405(26.5%) were identified with death, 3,485(65.7%) were alive and 415(7.8%) were not identified. b. Prospective studies included 10 subjects such as bladder cancer, retinoblastoma, malignant patients, gastric cancer, uterine cervix cancer and ovary cancer. We are continuing registering eligible study patients. c. Results for 11 papers were published at the journal. d. We established follow-up system in order to identify the survival for study subjects through National Statistical Office, Government Provincial Office and Cancer Registration System at Korea Cancer Center Hospital. e. At present, we are establishing computerized registration system about case report form for study cancers.

  17. Assessment of gastric cancer survival: using an artificial hierarchical neural network.

    Science.gov (United States)

    Amiri, Zohreh; Mohammad, Kazem; Mahmoudi, Mahmoud; Zeraati, Hojjat; Fotouhi, Akbar

    2008-04-15

    This study is designed to assess the application of neural networks in comparison to the Kaplan-Meier and Cox proportional hazards model in the survival analysis. Three hundred thirty gastric cancer patients admitted to and surgically treated were assessed and their post-surgical survival was determined. The observed baseline survival was determined with the three methods of Kaplan-Meier product limit estimator, Cox and the neural network and results were compared. Then the binary independent variables were entered into the model. Data were randomly divided into two groups of 165 each to test the models and assess the reproducibility. The Chi-square test and the multiple logistic model were used to ensure the groups were similar and the data was divided randomly. To compare subgroups, we used the log-rank test. In the next step, the probability of survival in different periods was computed based on the training group data using the Cox proportional hazards and a neural network and estimating Cox coefficient values and neural network weights (with 3 nodes in hidden layer). Results were used for predictions in the test group data and these predictions were compared using the Kaplan-Meier product limit estimator as the gold standard. Friedman and Kruskal-Wallis tests were used for comparisons as well. All statistical analyses were performed using SPSS version 11.5, Matlab version 7.2, Statistica version 6.0 and S_PLUS 2000. The significance level was considered 5% (alpha = 0.05). The three methods used showed no significance difference in base survival probabilities. Overall, there was no significant difference among the survival probabilities or the trend of changes in survival probabilities calculated with the three methods, but the 4 year (48th month) and 4.5 year (54th month) survival rates were significantly different with Cox compared to standard and estimated probabilities in the neural network (p survival probabilities, but results with the neural network were

  18. Cancer "causation" by infections--individual contributions and synergistic networks.

    Science.gov (United States)

    zur Hausen, Harald; de Villiers, Ethel-Michele

    2014-12-01

    The search for infectious agents playing a role in human carcinogenesis and their identification remain important issues. This could provide clues for a broader spectrum of cancers preventable by vaccination and accessible to specific therapeutic regimens. Yet, the various ways of interacting among different factors functioning synergistically and their different modes of affecting individual cells should bring to question the validity of the term "causation". It also should put a word of caution into all attempts to summarize criteria for "causality" of infectious agents in cancer development. At least in the opinion of these authors, we would be much better off avoiding these terms, replacing "causal factor" by "risk factor" and grading them according to their contribution to an individual's cancer risk. PMID:25499643

  19. Statistical study on cancer patients of cancer research hospital

    International Nuclear Information System (INIS)

    The total number of malignant neoplasms included in this study 15,737 cases(11.8%) among 133,251 cases for 3 years. On sex, females with 52.9% were much more than males with 47.1%. The highest proportion of cancer patients by age was 33.7% in males and 28.5% in females, respectivelty for 50-59 age group. The most frequent primary site among males was found to be stomach with 35.5%, followed by liver(14.7%), lung(13.0%), esophagus(5.4%) and colon (3.2%). In females, the first order was uterine cervix with 40.6%, followed by stomach(17.2%), breast(14.4), rectum(3.7%) and lung(3.4%). The most common type of morphology of malignant neoplasms was adenocarcinoma(47.4%) in males an squamous cell carcinoma(58.0%) in females. Among the cancer patients initially diagnosed in this hospital, the proportion of malignant neoplasms by the exent of disease was 2.5% for patient with carcinoma-in-situ, 54.1% for patients with localized involvement, 13.3% for patients with regional involvement and 8.5% for patients with distant involvement. Among the cancer patients initially treatment in this hospital, the proportion of malignant neoplasms by the method of treatment was 23.6% for surgery, 25.3% for radiotherapy and 30.3% for chemotherapy. Among the cancer patients confirmed by medical records, 7.7% was traced more than 5 years. (Author)

  20. Statistical study on cancer patients of Korea cancer centre hospital

    Energy Technology Data Exchange (ETDEWEB)

    Choi, Soo Yong; Kim, Kee Hwa; Kang Sung Mok [Korea Cancer Center Hospital of Korea Atomic Energy Research Institute, Seoul (Korea, Republic of)

    1994-12-01

    The total number of malignant neoplasms included in this study 53,566 cases(14.1%) among 379,582 patients from 1984 to 1993. On sex, females with 51.3% were much more than males with 48.7%. The highest proportion of cancer patients by age was 35.0% in males and 28.4% in females, respectively for 50-59 age group. The most frequent primary site among males was found to be stomach with 33.2%, followed by liver(15.1%), lung(14.9%), esophagus(5.3%) and larynx(3.3%). In females, the first order was uterine cervix with 37.8%, followed by stomach(16.5%), breast(14.8%), thyroid gland(4.3%) and lung (3.8%). The proportion of malignant neoplasms diagnosed by histology made up 67.0%, whereas 20.2% was diagnosed by clinical investigation(X-ray, CT, MRI etc). Among the cancer patients initially diagnosed in this hospital, the proportion of malignant neoplasms by the extent of disease was 3.7% for patient with carcinoma-in-situ, 58.7% for patients with localized involvement, 18.4% for patients with regional involvement and 11.1% for patients with distant involvement. Among the cancer patients initially treatment in this hospital, the proportion of malignant neoplasms by the method of treatment was 27.5% for surgery, 22.5% for radiotherapy and 30.1% for chemotherapy. The proportion of cancer patients traced to death was only to 3.6%, 1,944 cases. Among them, 72.5% survived for less than 1 year. 17 figs, 7 tabs, 28 refs. (Author).

  1. Statistical study on cancer patients of Korea cancer centre hospital

    International Nuclear Information System (INIS)

    The total number of malignant neoplasms included in this study 53,566 cases(14.1%) among 379,582 patients from 1984 to 1993. On sex, females with 51.3% were much more than males with 48.7%. The highest proportion of cancer patients by age was 35.0% in males and 28.4% in females, respectively for 50-59 age group. The most frequent primary site among males was found to be stomach with 33.2%, followed by liver(15.1%), lung(14.9%), esophagus(5.3%) and larynx(3.3%). In females, the first order was uterine cervix with 37.8%, followed by stomach(16.5%), breast(14.8%), thyroid gland(4.3%) and lung (3.8%). The proportion of malignant neoplasms diagnosed by histology made up 67.0%, whereas 20.2% was diagnosed by clinical investigation(X-ray, CT, MRI etc). Among the cancer patients initially diagnosed in this hospital, the proportion of malignant neoplasms by the extent of disease was 3.7% for patient with carcinoma-in-situ, 58.7% for patients with localized involvement, 18.4% for patients with regional involvement and 11.1% for patients with distant involvement. Among the cancer patients initially treatment in this hospital, the proportion of malignant neoplasms by the method of treatment was 27.5% for surgery, 22.5% for radiotherapy and 30.1% for chemotherapy. The proportion of cancer patients traced to death was only to 3.6%, 1,944 cases. Among them, 72.5% survived for less than 1 year. 17 figs, 7 tabs, 28 refs. (Author)

  2. Czech studies of lung cancer and radon

    International Nuclear Information System (INIS)

    According to the International Agency for Research on Cancer, there is a significant evidence to classify radon as a carcinogen. Using extrapolations from occupational studies, it can be shown that for some countries environmental exposure to radon is the second most important cause of lung cancer in the general population after cigarette smoking. Czech studies among uranium miners, established in 1970 by Josef Sevc, and in the general population aim to contribute to knowledge on the risk from radon, particularly by evaluating temporal factors and interaction of radon exposure and smoking

  3. Early Detection of Lung Cancer Using Neural Network Techniques

    Directory of Open Access Journals (Sweden)

    Prashant Naresh

    2014-08-01

    Full Text Available Effective identification of lung cancer at an initial stage is an important and crucial aspect of image processing. Several data mining methods have been used to detect lung cancer at early stage. In this paper, an approach has been presented which will diagnose lung cancer at an initial stage using CT scan images which are in Dicom (DCM format. One of the key challenges is to remove white Gaussian noise from the CT scan image, which is done using non local mean filter and to segment the lung Otsu’s thresholding is used. The textural and structural features are extracted from the processed image to form feature vector. In this paper, three classifiers namely SVM, ANN, and k-NN are applied for the detection of lung cancer to find the severity of disease (stage I or stage II and comparison is made with ANN, and k-NN classifier with respect to different quality attributes such as accuracy, sensitivity(recall, precision and specificity. It has been found from results that SVM achieves higher accuracy of 95.12% while ANN achieves 92.68% accuracy on the given data set and k-NN shows least accuracy of 85.37%. SVM algorithm which achieves 95.12% accuracy helps patients to take remedial action on time and reduces mortality rate from this deadly disease.

  4. Quality assurance network: The European pilot study

    International Nuclear Information System (INIS)

    Based on the IAEA/WHO experience in mailed dosimetry, a Quality Assurance (QA) Network, sponsored by the EC committee ''Europe against Cancer'', has been set up in 1991 for all European centres. Besides a survey of radiotherapy infrastructure, the project includes three measurement steps: primarily, a check of beam output and quality in reference conditions with a mailed TLD-procedure, in a second step, the mailed verification of other beam data and dose calculation procedures with multipurpose phantom, and finally in vivo dosimetry at the individual patient levels with mailed dosimeters. The results concerning 162 beams from 85 centres are analysed (58 60Co beams and 104 X-ray beams). 27 beams present minor deviations (3 to 6%) and 15 beams (4/58 60Co beams and 11/104 X-ray beams) from 11 centres present major deviations (≥ 6%). The analysis shows that 17/27 minor deviations and all major deviations have been detected in centres which have not benefited from an external check during the last five years; in 14 out of 15 large deviations, the measured dose is smaller than the stated dose. In most centres with major deviation, the physicists did not have the necessary experience and did not calibrate regularly the beams. In 6 centres out of 11 there was no dosimeter or the dosimeter available has not been calibrated recently. In 3 centres, the physicist did not give any explanations. The conclusions concerning the second step (multipurpose phantom), outline the larger magnitude of the deviations for off axis points, oblique surface and the use of wedge filters. (author). 32 refs, 7 figs, 2 tabs

  5. Molecular Principles of Gene Fusion Mediated Rewiring of Protein Interaction Networks in Cancer.

    Science.gov (United States)

    Latysheva, Natasha S; Oates, Matt E; Maddox, Louis; Flock, Tilman; Gough, Julian; Buljan, Marija; Weatheritt, Robert J; Babu, M Madan

    2016-08-18

    Gene fusions are common cancer-causing mutations, but the molecular principles by which fusion protein products affect interaction networks and cause disease are not well understood. Here, we perform an integrative analysis of the structural, interactomic, and regulatory properties of thousands of putative fusion proteins. We demonstrate that genes that form fusions (i.e., parent genes) tend to be highly connected hub genes, whose protein products are enriched in structured and disordered interaction-mediating features. Fusion often results in the loss of these parental features and the depletion of regulatory sites such as post-translational modifications. Fusion products disproportionately connect proteins that did not previously interact in the protein interaction network. In this manner, fusion products can escape cellular regulation and constitutively rewire protein interaction networks. We suggest that the deregulation of central, interaction-prone proteins may represent a widespread mechanism by which fusion proteins alter the topology of cellular signaling pathways and promote cancer. PMID:27540857

  6. Studying Fin Whales with Seafloor Seismic Networks

    Science.gov (United States)

    Wilcock, W. S.; Soule, D. C.; Weirathmueller, M.; Thomson, R.

    2011-12-01

    Baleen whales are found throughout the world's oceans and their welfare captivates the general public. Depending on the species, baleen whales vocalize at frequencies ranging from ~10 Hz to several kilohertz. Passive acoustic studies of whale calls are used to investigate behavior and habitat usage, monitor the recovery of populations from whaling and assess the impacts of anthropogenic sounds. Since airguns are a significant source of sound in the oceans, the research goals of academic seismologists can lead to conflicts with those who advocate for whale conservation while being unwilling to consider the societal benefits of marine geophysical studies. In contrast, studies that monitor earthquakes with ocean bottom seismometers (OBSs) provide an opportunity to enhance studies of baleen whales and improve relationships with environmental advocates. The bandwidth of the typical high-frequency or intermediate-band ocean bottom seismometer overlaps the call frequency of the two largest baleen whale species; blue whales generate sequences of 10- to 20-s-long calls centered at ~16 Hz and fin whales produce long sequences of downswept 1-s-long chirps centered at ~20 Hz. Several studies have demonstrated the potential of OBS networks to monitor calling patterns and determine tracks for fin and blue whales. We will summarize the results from a study to track fin whales near the Endeavour hydrothermal vent fields on the Juan de Fuca Ridge and investigate a potential correlation between the density of whales and enhanced zooplankton found throughout the water column overlying the vent fields. From 2003-2006 an 8-station local seismic network that was designed to monitor hydrothermal earthquakes also recorded ~300,000 fin whale vocalizations, mostly in the fall and winter. Automatic picking and localization techniques that are analogous to those used to analyze earthquakes are employed to determine whale tracks. The tracks are then used to interpret calling patterns in the

  7. Organization principles of biological networks: An explorative study.

    Science.gov (United States)

    Kohestani, Havva; Giuliani, Alessandro

    2016-03-01

    The definition of general topological principles allowing for graph characterization is an important pre-requisite for investigating structure-function relationships in biological networks. Here we approached the problem by means of an explorative, data-driven strategy, building upon a size-balanced data set made of around 200 distinct biological networks from seven functional classes and simulated networks coming from three mathematical graph models. A clear link between topological structure and biological function did emerge in terms of class membership prediction (average 67% of correct predictions, p<0.0001) with a varying degree of 'peculiarity' across classes going from a very low (25%) recognition efficiency for neural and brain networks to the extremely high (80%) peculiarity of amino acid-amino acid interaction (AAI) networks. We recognized four main dimensions (principal components) as main organization principles of biological networks. These components allowed for an efficient description of network architectures and for the identification of 'not-physiological' (in this case cancer metabolic networks acting as test set) wiring patterns. We highlighted as well the need of developing new theoretical generative models for biological networks overcoming the limitations of present mathematical graph idealizations. PMID:26845173

  8. STUDY OF SECURITY ISSUES IN WIRELESS SENSOR NETWORK

    Directory of Open Access Journals (Sweden)

    MANJU.V.C

    2011-10-01

    Full Text Available In recent years, the design and implementation of the wireless sensor networks is widely chosen for research as sensor networks enable application that connects the physical world to the virtual world. Wireless platforms are less expensive and are more powerful, with usage in enabling the promise health science to military sensing operations. The wireless sensor networks are prone to more attacks than wired networks. However, the hardware simplicity of these devices makes defense mechanisms designed for traditional networksinfeasible. This paper studies the security aspects of wireless sensor networks. A survey with current threats and countermeasures is carried out, in particular, explored the protocol layer attack on sensor networks.

  9. NETWORK SECURITY ATTACKS. ARP POISONING CASE STUDY

    Directory of Open Access Journals (Sweden)

    Luminiţa DEFTA

    2010-12-01

    Full Text Available Arp poisoning is one of the most common attacks in a switched network. A switch is a network device that limits the ability of attackers that use a packet sniffer to gain access to information from internal network traffic. However, using ARP poisoning the traffic between two computers can be intercepted even in a network that uses switches. This method is known as man in the middle attack. With this type of attack the affected stations from a network will have invalid entries in the ARP table. Thus, it will contain only the correspondence between the IP addresses of the stations from the same network and a single MAC address (the station that initiated the attack. In this paper we present step by step the initiation of such an attack in a network with three computers. We will intercept the traffic between two stations using the third one (the attacker.

  10. Predicting cancer drug mechanisms of action using molecular network signatures

    OpenAIRE

    Pritchard, Justin R.; Bruno, Peter M.; Hemann, Michael T.; Lauffenburger, Douglas A.

    2012-01-01

    Molecular signatures are a powerful approach to characterize novel small molecules and derivatized small molecule libraries. While new experimental techniques are being developed in diverse model systems, informatics approaches lag behind these exciting advances. We propose an analysis pipeline for signature based drug annotation. We develop an integrated strategy, utilizing supervised and unsupervised learning methodologies that are bridged by network based statistics. Using this approach we...

  11. Study of phosphorylation events for cancer diagnoses and treatment.

    Science.gov (United States)

    López Villar, Elena; Madero, Luis; A López-Pascual, Juan; C Cho, William

    2015-12-01

    The activation of signaling cascades in response to extracellular and intracellular stimuli to control cell growth, proliferation and survival, is orchestrated by protein kinases via phosphorylation. A critical issue is the study of the mechanisms of cancer cells for the development of more effective drugs. With the application of the new proteomic technologies, together with the advancement in the sequencing of the human proteome, patients will therefore be benefited by the discovery of novel therapeutic and/or diagnostic protein targets. Furthermore, the advances in proteomic approaches and the Human Proteome Organization (HUPO) have opened a new door which is helpful in the identification of patients at risk and towards improving current therapies. Modification of the signaling-networks via mutations or abnormal protein expression underlies the cause or consequence of many diseases including cancer. Resulting data is used to reveal connections between genes proteins and compounds and the related molecular pathways for underlining disease states. As a delegate of HUPO, for human proteome on children assays and studies, we, at Hospital Universitario Niño Jesús, are seeking to support the human proteome in this context. Clinical goals have to be clearly established and proteomics experts have to set up the appropriate proteomic strategy, which coupled to bioinformatics will make it possible to achieve new therapies for patients with poor prognosis. We envision to combine our up-coming data to the HUPO organization in order to support international efforts to advance the cure of cancer disease. PMID:26055493

  12. Protein-protein interaction network construction for cancer using a new L1/2-penalized Net-SVM model.

    Science.gov (United States)

    Chai, H; Huang, H H; Jiang, H K; Liang, Y; Xia, L Y

    2016-01-01

    Identifying biomarker genes and characterizing interaction pathways with high-dimensional and low-sample size microarray data is a major challenge in computational biology. In this field, the construction of protein-protein interaction (PPI) networks using disease-related selected genes has garnered much attention. Support vector machines (SVMs) are commonly used to classify patients, and a number of useful tools such as lasso, elastic net, SCAD, or other regularization methods can be combined with SVM models to select genes that are related to a disease. In the current study, we propose a new Net-SVM model that is different from other SVM models as it is combined with L1/2-norm regularization, which has good performance with high-dimensional and low-sample size microarray data for cancer classification, gene selection, and PPI network construction. Both simulation studies and real data experiments demonstrated that our proposed method outperformed other regularization methods such as lasso, SCAD, and elastic net. In conclusion, our model may help to select fewer but more relevant genes, and can be used to construct simple and informative PPI networks that are highly relevant to cancer. PMID:27525863

  13. Social networks, social support and burden in relationships, and mortality after breast cancer diagnosis

    Science.gov (United States)

    Michael, Yvonne; Tindle, Hilary; Gage, Elizabeth; Chlebowski, Rowan; Garcia, Lorena; Messina, Catherine; Manson, JoAnn E.; Caan, Bette J.

    2016-01-01

    Though larger social networks are associated with reduced breast cancer mortality, there is a need to clarify how both social support and social burden influence this association. We included 4,530 women from the Women's Health Initiative who were diagnosed with breast cancer between 1993 and 2009, and provided data on social networks (spouse or intimate partner, religious ties, club ties, and number of first-degree relatives) before diagnosis. Of those, 354 died during follow-up, with 190 from breast cancer. We used Cox proportional hazards regression to evaluate associations of social network members with risk of post-diagnosis mortality, further evaluating associations by social support and social burden (caregiving, social strain). In multivariate-adjusted analyses, among women with high but not low social support, being married was related to lower all-cause mortality. By contrast, among women with high but not low social burden, those with a higher number of first-degree relatives, including siblings, parents, and children, had higher all-cause and breast cancer mortality (among caregivers: 0–3 relatives (ref), 4–5 relatives, HR = 1.47 (95% CI: 0.62–3.52), 6–9 relatives, HR = 2.08 (95% CI: 0.89–4.86), 10+ relatives, HR = 3.55 (95% CI: 1.35–9.33), P-continuous = 0.02, P-interaction = 0.008). The association by social strain was similar though it was not modified by level of social support. Other social network members were unrelated to mortality. Social relationships may have both adverse and beneficial influences on breast cancer survival. Clarifying these depends on understanding the context of women's relationships. PMID:22331479

  14. An Optimal Control of Bone Marrow in Cancer Chemotherapy by Artificial Neural Networks

    Directory of Open Access Journals (Sweden)

    H. Hosseinipour

    2015-09-01

    Full Text Available Although neural network models for cancer chemotherapy have been analyzed since the early seventies, less research has been done in actually formulating them as optimal control problems. In this paper an artificial neural networks-based method for optimal control of bone marrow in cell-cycle-specific chemotherapy is proposed. In this method, we use artificial neural networks for approximating the optimal control problem which maximizes both bone marrow mass and drug`s dose at the same time. The corresponding model be transfer to Hamiltonian function and using Pontryagin principle we create the boundary conditions. After defining boundary conditions, we use the approximating property of artificial networks and put the boundary conditions in error functions to satisfy the limitations..

  15. Dairy consumption and ovarian cancer risk in the Netherlands Cohort Study on diet and cancer

    OpenAIRE

    Mommers, M.; Schouten, L J; Goldbohm, R. A.; Brandt, P.A. van den

    2006-01-01

    Ovary cancer risk in relation to consumption of dairy products was investigated using a self-administered questionnaire on dietary habits and other risk factors for cancer, which was completed in 1986 by 62 573 postmenopausal women participating in the Netherlands Cohort Study. Follow-up for cancer was implemented by annual record linkage with the Netherlands Cancer Registry and a nationwide pathology registry. After 11.3 years of follow-up, data of 252 incident epithelial ovarian cancer case...

  16. Genetic variation in microRNA networks: the implications for cancer research

    OpenAIRE

    Ryan, Bríd M.; Ana I Robles; Curtis C Harris

    2010-01-01

    Many studies have highlighted the role that microRNAs have in physiological processes and how their deregulation can lead to cancer. More recently it has been proposed that the presence of single nucleotide polymorphisms in microRNA genes, their processing machinery and target binding sites affects cancer risk, treatment efficacy and patient prognosis. In reviewing this new field of cancer biology, we describe the methodological approaches of these studies and make recommendations for which s...

  17. Risk of Salivary Gland Cancer After Childhood Cancer: A Report From the Childhood Cancer Survivor Study

    International Nuclear Information System (INIS)

    Purpose: To evaluate effects of radiation therapy, chemotherapy, cigarette smoking, and alcohol consumption on the risk of second primary salivary gland cancer (SGC) in the Childhood Cancer Survivor Study (CCSS). Methods and Materials: Standardized incidence ratios (SIR) and excess absolute risks (EAR) of SGC in the CCSS were calculated using incidence rates from Surveillance, Epidemiology, and End Results population-based cancer registries. Radiation dose to the salivary glands was estimated based on medical records. Poisson regression was used to assess risks with respect to radiation dose, chemotherapy, smoking, and alcohol consumption. Results: During the time period of the study, 23 cases of SGC were diagnosed among 14,135 childhood cancer survivors. The mean age at diagnosis of the first primary cancer was 8.3 years, and the mean age at SGC diagnosis was 24.8 years. The incidence of SGC was 39-fold higher in the cohort than in the general population (SIR = 39.4; 95% CI = 25.4-57.8). The EAR was 9.8 per 100,000 person-years. Risk increased linearly with radiation dose (excess relative risk = 0.36/Gy; 95% CI = 0.06-2.5) and remained elevated after 20 years. There was no significant trend of increasing risk with increasing dose of chemotherapeutic agents, pack-years of cigarette smoking, or alcohol intake. Conclusion: Although the cumulative incidence of SGC was low, childhood cancer survivors treated with radiation experienced significantly increased risk for at least 2 decades after exposure, and risk was positively associated with radiation dose. Results underscore the importance of long-term follow up of childhood cancer survivors for the development of new malignancies

  18. Risk of Salivary Gland Cancer After Childhood Cancer: A Report From the Childhood Cancer Survivor Study

    Energy Technology Data Exchange (ETDEWEB)

    Boukheris, Houda [Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland (United States); Stovall, Marilyn [Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Gilbert, Ethel S. [Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland (United States); Stratton, Kayla L. [Division of Public Health Sciences, Fred Hutchinson Cancer Research Center, Seattle, Washington (United States); Smith, Susan A.; Weathers, Rita [Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Hammond, Sue [Department of Pathology, Ohio State University School of Medicine, Columbus, Ohio (United States); Mertens, Ann C. [Department of Pediatrics, Emory University, Atlanta, Georgia (United States); Donaldson, Sarah S. [Department of Radiation Oncology, Stanford University Medical Center, Stanford, California (United States); Armstrong, Gregory T.; Robison, Leslie L. [Department of Epidemiology and Cancer Control, St. Jude Children' s Research Hospital, Memphis, Tennessee (United States); Neglia, Joseph P. [Department of Pediatrics, University of Minnesota Medical School, Minneapolis, Minnesota (United States); Inskip, Peter D., E-mail: inskippe@mail.nih.gov [Radiation Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, Maryland (United States)

    2013-03-01

    Purpose: To evaluate effects of radiation therapy, chemotherapy, cigarette smoking, and alcohol consumption on the risk of second primary salivary gland cancer (SGC) in the Childhood Cancer Survivor Study (CCSS). Methods and Materials: Standardized incidence ratios (SIR) and excess absolute risks (EAR) of SGC in the CCSS were calculated using incidence rates from Surveillance, Epidemiology, and End Results population-based cancer registries. Radiation dose to the salivary glands was estimated based on medical records. Poisson regression was used to assess risks with respect to radiation dose, chemotherapy, smoking, and alcohol consumption. Results: During the time period of the study, 23 cases of SGC were diagnosed among 14,135 childhood cancer survivors. The mean age at diagnosis of the first primary cancer was 8.3 years, and the mean age at SGC diagnosis was 24.8 years. The incidence of SGC was 39-fold higher in the cohort than in the general population (SIR = 39.4; 95% CI = 25.4-57.8). The EAR was 9.8 per 100,000 person-years. Risk increased linearly with radiation dose (excess relative risk = 0.36/Gy; 95% CI = 0.06-2.5) and remained elevated after 20 years. There was no significant trend of increasing risk with increasing dose of chemotherapeutic agents, pack-years of cigarette smoking, or alcohol intake. Conclusion: Although the cumulative incidence of SGC was low, childhood cancer survivors treated with radiation experienced significantly increased risk for at least 2 decades after exposure, and risk was positively associated with radiation dose. Results underscore the importance of long-term follow up of childhood cancer survivors for the development of new malignancies.

  19. Network-Based Isoform Quantification with RNA-Seq Data for Cancer Transcriptome Analysis.

    Science.gov (United States)

    Zhang, Wei; Chang, Jae-Woong; Lin, Lilong; Minn, Kay; Wu, Baolin; Chien, Jeremy; Yong, Jeongsik; Zheng, Hui; Kuang, Rui

    2015-12-01

    High-throughput mRNA sequencing (RNA-Seq) is widely used for transcript quantification of gene isoforms. Since RNA-Seq data alone is often not sufficient to accurately identify the read origins from the isoforms for quantification, we propose to explore protein domain-domain interactions as prior knowledge for integrative analysis with RNA-Seq data. We introduce a Network-based method for RNA-Seq-based Transcript Quantification (Net-RSTQ) to integrate protein domain-domain interaction network with short read alignments for transcript abundance estimation. Based on our observation that the abundances of the neighboring isoforms by domain-domain interactions in the network are positively correlated, Net-RSTQ models the expression of the neighboring transcripts as Dirichlet priors on the likelihood of the observed read alignments against the transcripts in one gene. The transcript abundances of all the genes are then jointly estimated with alternating optimization of multiple EM problems. In simulation Net-RSTQ effectively improved isoform transcript quantifications when isoform co-expressions correlate with their interactions. qRT-PCR results on 25 multi-isoform genes in a stem cell line, an ovarian cancer cell line, and a breast cancer cell line also showed that Net-RSTQ estimated more consistent isoform proportions with RNA-Seq data. In the experiments on the RNA-Seq data in The Cancer Genome Atlas (TCGA), the transcript abundances estimated by Net-RSTQ are more informative for patient sample classification of ovarian cancer, breast cancer and lung cancer. All experimental results collectively support that Net-RSTQ is a promising approach for isoform quantification. Net-RSTQ toolbox is available at http://compbio.cs.umn.edu/Net-RSTQ/. PMID:26699225

  20. Secretome analysis of multiple pancreatic cancer cell lines reveals perturbations of key functional networks.

    Science.gov (United States)

    Schiarea, Silvia; Solinas, Graziella; Allavena, Paola; Scigliuolo, Graziana Maria; Bagnati, Renzo; Fanelli, Roberto; Chiabrando, Chiara

    2010-09-01

    The cancer secretome is a rich repository in which to mine useful information for both cancer biology and clinical oncology. To help understand the mechanisms underlying the progression of pancreatic cancer, we characterized the secretomes of four human pancreatic ductal adenocarcinoma (PDAC) cell lines versus a normal counterpart. To this end, we used a proteomic workflow based on high-confidence protein identification by mass spectrometry, semiquantitation by a label-free approach, and network enrichment analysis by a system biology tool. Functional networks significantly enriched with PDAC-dysregulated proteins included not only expected alterations within key mechanisms known to be relevant for tumor progression (e.g., cell-cell/cell-matrix adhesion, extracellular matrix remodeling, and cytoskeleton rearrangement), but also other extensive, coordinated perturbations never observed in pancreatic cancer. In particular, we highlighted perturbations possibly favoring tumor progression through immune escape (i.e., inhibition of the complement system, deficiency of selected proteasome components within the antigen-presentation machinery, and inhibition of T cell cytoxicity), and a defective protein folding machinery. Among the proteins found concordantly oversecreted in all of our PDAC cell lines, many are reportedly overexpressed in pancreatic cancer (e.g., CD9 and Vimentin), while others (PLOD3, SH3L3, PCBP1, and SFRS1) represent novel PDAC-secreted proteins that may be worth investigating. PMID:20687567

  1. Social ties and risk for cancer--a prospective cohort study

    DEFF Research Database (Denmark)

    Bergelt, Corinna; Prescott, Eva; Grønbaek, Morten;

    2009-01-01

    consisted of 8 548 Danes who had been examined in 1991-1994 within the Copenhagen City Heart Study. The median length of follow-up was 9.3 years (range, 0-11.2 years). Social ties were measured from answers to a questionnaire on social networks. Regression analyses for cancers at the most frequent sites...

  2. Evolution of Terrorist Network using Clustered approach: A Case study

    DEFF Research Database (Denmark)

    Nizamani, Sarwat; Memon, Nasrullah

    In the paper we present a cluster based approach for terrorist network evolution. We have applied hierarchical agglomerative clustering approach to 9/11 case study. We show that, how individual actors who are initially isolated from each other are converted in small clusters and result in a fully...... evolved network. This method of network evolution can help intelligence security analysts to understand the structure of the network....

  3. Impact of route to diagnosis on treatment intent and 1-year survival in patients diagnosed with oesophagogastric cancer in England: a prospective cohort study

    OpenAIRE

    Palser, Thomas R; Cromwell, David A; Hardwick, Richard H; Riley, Stuart A; Greenaway, Kimberley; van der Meulen, Jan H P; ,

    2013-01-01

    Objective To investigate the relationship between the route to diagnosis, patient characteristics, treatment intent and 1 -year survival among patients with oesophagogastric (O-G) cancer. Setting Cohort study in 142 English NHS trusts and 30 cancer networks. Participants Patients diagnosed with O-G cancer between October 2007 and June 2009. Design Prospective cohort study. Route to diagnosis defined as general practitioner (GP) referral—urgent (suspected cancer) or non-urgent, hospital consul...

  4. Smoking Behaviors Among Cancer Survivors: An Observational Clinical Study

    OpenAIRE

    Burke, Lola; Miller, Lesley-Ann; Saad, Ayman; Abraham, Jame

    2009-01-01

    Studies have shown that smoking can adversely affect the outcomes of different modalities of cancer treatment. This study looks at smoking behaviors among cancer survivors to collect necessary information to create successful smoking cessation interventions.

  5. Study Hints At HPV Vaccine's Cancer Prevention Promise

    Science.gov (United States)

    ... page: https://medlineplus.gov/news/fullstory_159696.html Study Hints at HPV Vaccine's Cancer Prevention Promise Fewer ... that can lead to cervical cancer, a new study shows. Canadian researchers found that young women who ...

  6. KLK6-regulated miRNA networks activate oncogenic pathways in breast cancer subtypes.

    Science.gov (United States)

    Sidiropoulos, Konstantinos G; Ding, Qiang; Pampalakis, Georgios; White, Nicole M A; Boulos, Peter; Sotiropoulou, Georgia; Yousef, George M

    2016-08-01

    KLK6 is expressed in normal mammary tissues and is aberrantly regulated in breast cancer. At physiological levels of expression, i.e. those found in normal mammary tissues, KLK6 acts as a tumor suppressor in human breast cancer. However, aberrant overexpression of KLK6 (i.e. 50-100-fold higher than normal), a characteristic of a subset of human breast cancers is associated with increased tumorigenicity (Pampalakis et al. Cancer Res 69:3779-3787, 2009). Here, we stably transfected KLK6-non-expressing MDA-MB-231 breast cancer cells with the full-length KLK6 cDNA to overexpress KLK6 at levels comparable to those observed in patients, and investigated potential oncogenic miRNA networks regulated by these abnormally high KLK6 expression levels and increased activity of this serine protease. A number of miRNAs that are upregulated (e.g. miR-146a) or downregulated (e.g. miR-34a) via KLK6-induced alterations in the miRNA biogenesis machinery were identified. Integrated experimental and bioinformatics analyses identified convergent miRNA networks targeting the cell cycle, MYC, MAPK, and other signaling pathways. In large clinical datasets, significant correlations between KLK6 and downstream MAPK and MYC targets at both the RNA and protein levels was confirmed, as well as negative correlation with GATA3. It was also demonstrated that KLK6 overexpression and likely its proteolytic activity is associated with alterations in downstream miRNAs and their targets, and these differ with the molecular subtypes of breast cancer. The data partly explains the different characteristics of breast cancer subtypes. Importantly, we introduce a combined KLK6-CDKN1B+MYC+CDKN1C score for prediction of long-term patient survival outcomes, with higher scores indicating poor survival. PMID:27093921

  7. Neural Network Analysis of Breast Cancer from Mammographic Evaluation

    Directory of Open Access Journals (Sweden)

    P. Abdolmaleki

    2006-06-01

    Full Text Available Background/Objective: Mammographic differentiation of benign lesions from malignancies is a difficult task. We developed an artificial neural network (ANN as a diagnostic aid in mammography using radiographic features as input. Materials & Methods: A three-layered ANN was used to differentiate malignant from benign findings in a group of patients with proven breast lesions on the basis of morphological data extracted from conventional mammograms. Our database included 122 patient records on 14qualitative variables. The database was randomly divided into training and validation samples including 82 and 40 patient records, respectively, to construct the ANN and validate its performance. Sensitivity, specificity, accuracy and receiver operating characteristic curve (ROC analysis for this method and the radiologist were compared. Results: Our results showed that the neural network model was able to correctly classify 30 out of 40 cases presented in the validation sample. Comparing the output with that of the radiologist, showed a reasonable diagnostic accuracy (75%, a moderate specificity (64% and a relatively high sensitivity (89%. Conclusion: A diagnostic aid was developed that accurately differentiates malignant from benign pattern using radiological features extracted from mammograms.

  8. Uranium miner lung cancer study. Final report

    International Nuclear Information System (INIS)

    This study on uranium miners was started in 1957 and extended through June 30, 1986. It consisted of the routine screening of sputum from uranium miners of the Colorado Plateau, and collection of surgical and autopsy material from uranium miners who developed lung cancer. The projects resulted in: (1) Proof, for the first time, that cancer takes from 10 to 15 years to develop from the maximum accumulated carcinogenic insult and can be demonstrated through progressive cellular changes of the bronchial tree; (2) Development of a method for preserving, concentrating, and processing sputum samples. This is known as the Saccomanno Technique, and is used worldwide in diagnosing lung cancer; (3) Publication of the 1st and 2nd editions of a full-color textbook entitled ''Diagnostic Pulmonary Cytology;'' (4) Presentation of conclusive data on the effects of cigarette smoking and alpha progeny radiation on uranium miners, and information on safe radiation exposure levels; (5) Development of a brush-wash tube for collecting, concentrating, and preparing bronchial brushings and washings; (6) Development of cytological criteria which has improved sensitivity from 30% to about 60%; (7) Development of criteria for cytologic identification of carcinoma in situ, making it possible to diagnose lung cancer before it can be detected on chest x-ray

  9. A simple model for studying interacting networks

    Science.gov (United States)

    Liu, Wenjia; Jolad, Shivakumar; Schmittmann, Beate; Zia, R. K. P.

    2011-03-01

    Many specific physical networks (e.g., internet, power grid, interstates), have been characterized in considerable detail, but in isolation from each other. Yet, each of these networks supports the functions of the others, and so far, little is known about how their interactions affect their structure and functionality. To address this issue, we consider two coupled model networks. Each network is relatively simple, with a fixed set of nodes, but dynamically generated set of links which has a preferred degree, κ . In the stationary state, the degree distribution has exponential tails (far from κ), an attribute which we can explain. Next, we consider two such networks with different κ 's, reminiscent of two social groups, e.g., extroverts and introverts. Finally, we let these networks interact by establishing a controllable fraction of cross links. The resulting distribution of links, both within and across the two model networks, is investigated and discussed, along with some potential consequences for real networks. Supported in part by NSF-DMR-0705152 and 1005417.

  10. Social networking sites in the Czech Republic: an empirical study

    OpenAIRE

    Karlíček, Miroslav; Tomek, Ivan; Mária HASPROVÁ; Marcela ZAMAZALOVÁ

    2012-01-01

    Social Networking Sites are a phenomenon of the times. For example, the largest of them, Facebook, has more than 798 million users worldwide. Unfortunately, not much is known about the usage of Social Networking Sites in the European context. This study tries to reduce the gap. The study explores some of the most important questions regarding usage of Social Networking Sites by heavy Internet users in the Czech Republic. Based on an online survey of 640 respondents, the study analyzes the mai...

  11. The structural network of Interleukin-10 and its implications in inflammation and cancer

    OpenAIRE

    Acuner-Özbabacan, Ece Saliha; Engin, Billur Hatice; Güven-Maiorov, Emine; Kuzu, Güray; Muratçıoğlu, Serena; Başpınar, Alper; Gürsoy, Attila; Chen, Zhong; Van Waes, Carter; Nussinov, Ruth

    2014-01-01

    RESEARCH Open Access The structural network of Interleukin-10 and its implications in inflammation and cancer Ece Saliha Acuner-Ozbabacan1, Billur Hatice Engin1, Emine Guven-Maiorov1, Guray Kuzu1, Serena Muratcioglu1, Alper Baspinar1, Zhong Chen3, Carter Van Waes3, Attila Gursoy1, Ozlem Keskin1, Ruth Nussinov2,4* From SNP-SIG 2013: Identification and annotation of genetic variants in the context of structure, function, and disease Berlin, Germany. 19 July 2013 Abstract...

  12. Predicting the prognosis of breast cancer by integrating clinical and microarray data with Bayesian networks

    OpenAIRE

    Gevaert, Olivier; De Smet, Frank; Timmerman, Dirk; Moreau, Yves; De Moor, Bart

    2006-01-01

    MOTIVATION: Clinical data, such as patient history, laboratory analysis, ultrasound parameters--which are the basis of day-to-day clinical decision support--are often underused to guide the clinical management of cancer in the presence of microarray data. We propose a strategy based on Bayesian networks to treat clinical and microarray data on an equal footing. The main advantage of this probabilistic model is that it allows to integrate these data sources in several ways and that it allows t...

  13. The network of pluripotency, epithelial–mesenchymal transition, and prognosis of breast cancer

    Directory of Open Access Journals (Sweden)

    Voutsadakis IA

    2015-09-01

    Full Text Available Ioannis A Voutsadakis1,2 1Division of Medical Oncology, Department of Internal Medicine, Sault Area Hospital, Sault Ste Marie, ON, Canada; 2Division of Clinical Sciences, Northern Ontario School of Medicine, Sudbury, ON, Canada Abstract: Breast cancer is the leading female cancer in terms of prevalence. Progress in molecular biology has brought forward a better understanding of its pathogenesis that has led to better prognostication and treatment. Subtypes of breast cancer have been identified at the genomic level and guide therapeutic decisions based on their biology and the expected benefit from various interventions. Despite this progress, a significant percentage of patients die from their disease and further improvements are needed. The cancer stem cell theory and the epithelial–mesenchymal transition are two comparatively novel concepts that have been introduced in the area of cancer research and are actively investigated. Both processes have their physiologic roots in normal development and common mediators have begun to surface. This review discusses the associations of these networks as a prognostic framework in breast cancer. Keywords: stem cells, epithelial-to-mesenchymal transition, mesenchymal-to-epithelial transition

  14. A Bayesian network approach for modeling local failure in lung cancer

    Energy Technology Data Exchange (ETDEWEB)

    Oh, Jung Hun; Craft, Jeffrey; Al Lozi, Rawan; Vaidya, Manushka; Meng, Yifan; Deasy, Joseph O; Bradley, Jeffrey D; El Naqa, Issam, E-mail: elnaqa@wustl.edu [Department of Radiation Oncology, Mallinckrodt Institute of Radiology, Washington University School of Medicine, MO 63110 (United States)

    2011-03-21

    Locally advanced non-small cell lung cancer (NSCLC) patients suffer from a high local failure rate following radiotherapy. Despite many efforts to develop new dose-volume models for early detection of tumor local failure, there was no reported significant improvement in their application prospectively. Based on recent studies of biomarker proteins' role in hypoxia and inflammation in predicting tumor response to radiotherapy, we hypothesize that combining physical and biological factors with a suitable framework could improve the overall prediction. To test this hypothesis, we propose a graphical Bayesian network framework for predicting local failure in lung cancer. The proposed approach was tested using two different datasets of locally advanced NSCLC patients treated with radiotherapy. The first dataset was collected retrospectively, which comprises clinical and dosimetric variables only. The second dataset was collected prospectively in which in addition to clinical and dosimetric information, blood was drawn from the patients at various time points to extract candidate biomarkers as well. Our preliminary results show that the proposed method can be used as an efficient method to develop predictive models of local failure in these patients and to interpret relationships among the different variables in the models. We also demonstrate the potential use of heterogeneous physical and biological variables to improve the model prediction. With the first dataset, we achieved better performance compared with competing Bayesian-based classifiers. With the second dataset, the combined model had a slightly higher performance compared to individual physical and biological models, with the biological variables making the largest contribution. Our preliminary results highlight the potential of the proposed integrated approach for predicting post-radiotherapy local failure in NSCLC patients.

  15. The Heritability of Breast Cancer among women in the Nordic Twin Study of Cancer

    DEFF Research Database (Denmark)

    Möller, Sören; Mucci, Lorelei A; Harris, Jennifer R;

    2016-01-01

    and heritability of breast cancer among 21,054 monozygotic and 30,939 dizygotic female twin pairs from the Nordic Twin Study of Cancer, the largest twin study of cancer in the world. We accounted for left-censoring, right-censoring, as well as the competing risk of death. Results From 1943 through...

  16. Experimental Study of Breast Cancer Detection Using UWB Imaging

    Directory of Open Access Journals (Sweden)

    Saleh A. Alshehri

    2011-01-01

    Full Text Available Breast cancer detection using UWB imaging is presented in this paper. The study is performed experimentally. Homogeneous breast phantom is constructed using pure petroleum jelly. The tumor is modeled using mixture of water and wheat flour. The breast fatty tissue and tumor tissue are put in breast shaped glass which mimics the skin. The dielectric properties values are comparable to previous study. Neural Network (NN was trained and tested using feature vector which is prepared by performing discrete cosine transform (DCT of the received UWB signals. Very encouraging results were obtained. Up to 100 % tumor existence detection was achieved. Tumor size and location detection rate were 91.3% and 95.6% respectively.

  17. Cooperative study in breast cancer treatment

    International Nuclear Information System (INIS)

    The results of surgical treatment of early breast cancers are discussed. Radical mastectomy for stage 1 tumor and a modified mastectomy after Patey - for stage 2 were shown to be feasible. A cooperative randomized study on therapy of localized stage 2b and 3b breast tumors made the case for application of polychemotherapy and radio-therapy as a components of combined and multimodulity therapy

  18. Classification of Cancer Gene Selection Using Random Forest and Neural Network Based Ensemble Classifier

    Directory of Open Access Journals (Sweden)

    Jogendra Kushwah

    2013-06-01

    Full Text Available The free radical gene classification of cancerdiseasesis challenging job in biomedical dataengineering. The improving of classification of geneselection of cancer diseases various classifier areused, but the classification of classifier are notvalidate. So ensemble classifier is used for cancergene classification using neural network classifierwith random forest tree. The random forest tree isensembling technique of classifier in this techniquethe number of classifier ensemble of their leaf nodeof class of classifier. In this paper we combinedneuralnetwork with random forest ensembleclassifier for classification of cancer gene selectionfor diagnose analysis of cancer diseases.Theproposed method is different from most of themethods of ensemble classifier, which follow aninput output paradigm ofneural network, where themembers of the ensemble are selected from a set ofneural network classifier. the number of classifiersis determined during the rising procedure of theforest. Furthermore, the proposed method producesan ensemble not only correct, but also assorted,ensuring the two important properties that shouldcharacterize an ensemble classifier. For empiricalevaluation of our proposed method we used UCIcancer diseases data set for classification. Ourexperimental result shows that betterresult incompression of random forest tree classification

  19. MicroRNA functional network in pancreatic cancer: From biology to biomarkers of disease

    Indian Academy of Sciences (India)

    Jin Wang; Subrata Sen

    2011-08-01

    MicroRNAs (miRs), the 17- to 25-nucleotide-long non-coding RNAs, regulate expression of approximately 30% of the protein-coding genes at the post-transcriptional level and have emerged as critical components of the complex functional pathway networks controlling important cellular processes, such as proliferation, development, differentiation, stress response' and apoptosis. Abnormal expression levels of miRs, regulating critical cancerassociated pathways, have been implicated to play important roles in the oncogenic processes, functioning both as oncogenes and as tumour suppressor genes. Elucidation of the genetic networks regulated by the abnormally expressing miRs in cancer cells is proving to be extremely significant in understanding the role of these miRs in the induction of malignant-transformation-associated phenotypic changes. As a result, the miRs involved in the oncogenic transformation process are being investigated as novel biomarkers of disease detection and prognosis as well as potential therapeutic targets for human cancers. In this \\article, we review the existing literature in the field documenting the significance of aberrantly expressed miRs in human pancreatic cancer and discuss how the oncogenic miRs may be involved in the genetic networks regulating functional pathways deregulated in this malignancy.

  20. Evaluation of the Diagnostic Power of Thermography in Breast Cancer Using Bayesian Network Classifiers

    Science.gov (United States)

    Nicandro, Cruz-Ramírez; Efrén, Mezura-Montes; María Yaneli, Ameca-Alducin; Enrique, Martín-Del-Campo-Mena; Héctor Gabriel, Acosta-Mesa; Nancy, Pérez-Castro; Alejandro, Guerra-Hernández; Guillermo de Jesús, Hoyos-Rivera; Rocío Erandi, Barrientos-Martínez

    2013-01-01

    Breast cancer is one of the leading causes of death among women worldwide. There are a number of techniques used for diagnosing this disease: mammography, ultrasound, and biopsy, among others. Each of these has well-known advantages and disadvantages. A relatively new method, based on the temperature a tumor may produce, has recently been explored: thermography. In this paper, we will evaluate the diagnostic power of thermography in breast cancer using Bayesian network classifiers. We will show how the information provided by the thermal image can be used in order to characterize patients suspected of having cancer. Our main contribution is the proposal of a score, based on the aforementioned information, that could help distinguish sick patients from healthy ones. Our main results suggest the potential of this technique in such a goal but also show its main limitations that have to be overcome to consider it as an effective diagnosis complementary tool. PMID:23762182

  1. The Likoma Network Study: Context, data collection and initial results

    Directory of Open Access Journals (Sweden)

    Stéphane Helleringer

    2009-10-01

    Full Text Available The extent and structure of sexual networks have important consequences for the spread of sexually transmitted diseases such as HIV. However, very few datasets currently exist that allow a detailed investigation of sexual networks in sub-Saharan African settings where HIV epidemics have become generalized. In this paper, we describe the context and methods of the Likoma Network Study (LNS, one of the few studies that have collected extensive information on sexual networks in sub-Saharan Africa. We start by reviewing theoretical arguments and empirical studies emphasizing the importance of network structures in the epidemiology of HIV and other sexually transmitted infections (STI. The island setting of this study is described, and we argue that the choice of an island as a research site limited potential biases that may make the collection of sexual network data difficult. We then document our empirical strategy for the collection of sexual network data and the subsequent identification of sexual network partners. A description of the protocol for the collection of biomarker data (HIV infection is provided. Finally, we present initial results relating to the socioeconomic context of the island, the size and composition of sexual networks, the quality of the sexual network data, the determinants of successful contact tracing during the LNS, and the prevalence of HIV in the study population.

  2. An observational study of cancer treatment-induced dental abnormalities in paediatric cancer patients

    OpenAIRE

    Kaberi Das; Munlima Hazarika; Manigreeva Krishnatreya; Amal Chandra Kataki

    2015-01-01

    Background: Paediatric cancer patients who receive radiation and chemotherapy (CT) suffer from various risks of oral complications and odontogenesis. Materials and Methods: This study was conducted at a regional cancer centre of North East India from 2010 to 2013. The impact of cancer treatment by CT and radiation on orodental health was studied on a total of 100 paediatric cancer patients. Results: The common dental abnormalities were microdontia, hypodontia, root abnormalities, abnorm...

  3. A Study on Energy-Balanced Transmission policies for Maximize Network Lifetime in Wireless Sensor Networks

    OpenAIRE

    Dr. D. Francis Xavier

    2014-01-01

    Unbalanced energy consumption is an inherent problem in wireless sensor networks characterized by multihop routing and many-to-one traffic pattern, and this uneven energy dissipation can significantly reduce network lifetime. Existing transmission policies, however, cause an extremely unbalanced energy usage that contributes to early demise of some sensors reducing overall network’s lifetime drastically. In this paper, we study the problem of maximizing network lifetime throug...

  4. Study of IMT-advanced heterogeneous network

    Institute of Scientific and Technical Information of China (English)

    Qin Fei; Peng Ying; Sun Shaohui; Wang Yingmin

    2011-01-01

    Referring to research on the Heterogeneous Network (Het-Net) application scenario and technique characters in IMT-Advaneed (The 4th Generation Mobile Communications) cellular system, this paper provides further analysis on main technique aspects of Heterogeneous Network, discussion on interference issue due to multi-layer building by access points and their corresponding solutions from standardization and engineering implementation. The proposed solution can effectively solve the interference problem in IMT-advanced Het-Net, and also improves the networking performance dramaticaUy for future mobile communication systems.

  5. Studies of Cancer Risk among Chernobyl liquidators

    Energy Technology Data Exchange (ETDEWEB)

    Kesminiene, A.; Cardis, E.; Tenet, V.; Chekin, S.; Ivanov, V. K.; Kurtinaitis, J.; Malakhova, I.; Polyakov, S.; Stengrevics, A.; Tekkel, M.

    2004-07-01

    Two cae-control studies among Chernobyl liquidators- one of leukaemia and non-Hodgkin lymphoma (NHL), the other of thyroid cancer risk were carried out in Belarus, Estonia, Latvia, Lithuania and Russia. These studies were coordinated by the International Agency for Research on Cancer. The specific objective of these studies was to estimate the radiation induced risk of these diseases among liquidators of the Chernobyl accident, and, in particular, to study the effect of exposure protraction and radiation type on the risk of radiation induced cancer in the low to medium (0-500 mSv) radiation dose range. The study population consisted of the approximately 15.000 Baltic countries, 66 000 Balarus and 65 000 Russian liquidators who worked in the 30 km zone in 1986-1987, and who were registered in the Chernobyl registry of these countries. The studies included cases diagnosed in 1993-1998 for all countries but Belarus, where the study period was extended until 2000. for controls were selected in each country from the national cohort for each case, mateched on age, gender and region of residence. Information on study subjects was obtained through face-to-face interview using a standardised questionnaire with questions on demographic factors, time place and conditions of work as a liquidator and potential risk and confoundinf factors for the tumours of interest. Ocerall 126 cases of leukaemia and NHL, 119 cases of thyroid cancer and 1060 controls were interviewed. Individual estimates of kerma in air and of dose to the bone marrow and related uncertainties were derived for each subject in the leukaemia and NHL study, using a method of analytical dose reconstruction developed whiting the study. Estimates of individual doses to the thyroid from external exposures, I-131 and long-lived isotopes were derived for all subjects in the thyroid case-control study. Dose-response analyses have been carried out. Resulting risk estimates will be presented and compared to risk estimates

  6. Studies of Cancer Risk among Chernobyl liquidators

    International Nuclear Information System (INIS)

    Two cae-control studies among Chernobyl liquidators- one of leukaemia and non-Hodgkin lymphoma (NHL), the other of thyroid cancer risk were carried out in Belarus, Estonia, Latvia, Lithuania and Russia. These studies were coordinated by the International Agency for Research on Cancer. The specific objective of these studies was to estimate the radiation induced risk of these diseases among liquidators of the Chernobyl accident, and, in particular, to study the effect of exposure protraction and radiation type on the risk of radiation induced cancer in the low to medium (0-500 mSv) radiation dose range. The study population consisted of the approximately 15.000 Baltic countries, 66 000 Balarus and 65 000 Russian liquidators who worked in the 30 km zone in 1986-1987, and who were registered in the Chernobyl registry of these countries. The studies included cases diagnosed in 1993-1998 for all countries but Belarus, where the study period was extended until 2000. for controls were selected in each country from the national cohort for each case, mateched on age, gender and region of residence. Information on study subjects was obtained through face-to-face interview using a standardised questionnaire with questions on demographic factors, time place and conditions of work as a liquidator and potential risk and confoundinf factors for the tumours of interest. Ocerall 126 cases of leukaemia and NHL, 119 cases of thyroid cancer and 1060 controls were interviewed. Individual estimates of kerma in air and of dose to the bone marrow and related uncertainties were derived for each subject in the leukaemia and NHL study, using a method of analytical dose reconstruction developed whiting the study. Estimates of individual doses to the thyroid from external exposures, I-131 and long-lived isotopes were derived for all subjects in the thyroid case-control study. Dose-response analyses have been carried out. Resulting risk estimates will be presented and compared to risk estimates

  7. Social network analysis and network connectedness analysis for industrial symbiotic systems: model development and case study

    Institute of Scientific and Technical Information of China (English)

    Yan ZHANG; Hongmei ZHENG; Bin CHEN; Naijin YANG

    2013-01-01

    An important and practical pattern of industrial symbiosis is rapidly developing:eco-industrial parks.In this study,we used social network analysis to study the network connectedness (i.e.,the proportion of the theoretical number of connections that had been achieved) and related attributes of these hybrid ecological and industrial symbiotic systems.This approach provided insights into details of the network's interior and analyzed the overall degree of connectedness and the relationships among the nodes within the network.We then characterized the structural attributes of the network and subnetwork nodes at two levels (core and periphery),thereby providing insights into the operational problems within each eco-industrial park.We chose ten typical ecoindustrial parks in China and around the world and compared the degree of network connectedness of these systems that resulted from exchanges of products,byproducts,and wastes.By analyzing the density and nodal degree,we determined the relative power and status of the nodes in these networks,as well as other structural attributes such as the core-periphery structure and the degree of sub-network connectedness.The results reveal the operational problems created by the structure of the industrial networks and provide a basis for improving the degree of completeness,thereby increasing their potential for sustainable development and enriching the methods available for the study of industrial symbiosis.

  8. Social network analysis and network connectedness analysis for industrial symbiotic systems: model development and case study

    Science.gov (United States)

    Zhang, Yan; Zheng, Hongmei; Chen, Bin; Yang, Naijin

    2013-06-01

    An important and practical pattern of industrial symbiosis is rapidly developing: eco-industrial parks. In this study, we used social network analysis to study the network connectedness (i.e., the proportion of the theoretical number of connections that had been achieved) and related attributes of these hybrid ecological and industrial symbiotic systems. This approach provided insights into details of the network's interior and analyzed the overall degree of connectedness and the relationships among the nodes within the network. We then characterized the structural attributes of the network and subnetwork nodes at two levels (core and periphery), thereby providing insights into the operational problems within each eco-industrial park. We chose ten typical ecoindustrial parks in China and around the world and compared the degree of network connectedness of these systems that resulted from exchanges of products, byproducts, and wastes. By analyzing the density and nodal degree, we determined the relative power and status of the nodes in these networks, as well as other structural attributes such as the core-periphery structure and the degree of sub-network connectedness. The results reveal the operational problems created by the structure of the industrial networks and provide a basis for improving the degree of completeness, thereby increasing their potential for sustainable development and enriching the methods available for the study of industrial symbiosis.

  9. A National Network to Advance the Field of Cancer and Female Sexuality

    Science.gov (United States)

    Goldfarb, Shari B.; Abramsohn, Emily; Andersen, Barbara L.; Baron, Shirley R.; Carter, Jeanne; Dickler, Maura; Florendo, Judith; Freeman, Leslie; Githens, Katherine; Kushner, David; Makelarski, Jennifer A.; Yamada, Diane; Lindau, Stacy Tessler

    2013-01-01

    Introduction Understanding sexual health issues in cancer patients is integral to care for the continuously growing cancer survivor population. Aim To create a national network of active clinicians and researchers focusing on the prevention and treatment of sexual problems in woman and girls with cancer. Methods Interdisciplinary teams from the University of Chicago and Memorial Sloan-Kettering Cancer Center jointly developed the mission for a national conference to convene clinicians and researchers in the field of cancer and female sexuality. The invitee list was developed by both institutions and further iterated through suggestions from invitees. The conference agenda focused on three high-priority topics under the guidance of a professional facilitator. Breakout groups were led by attendees recognized by collaborators as experts in those topics. Conference costs were shared by both institutions. Main Outcome Measure Development of Scientific Working Groups (SWGs) Results One hundred two clinicians and researchers were invited to attend the 1st National Conference on Cancer and Female Sexuality. Forty-three individuals from 20 different institutions across 14 states attended, including representation from eight NCI-funded cancer centers. Attendees included PhD researchers (n=19), physicians (n=16), and other health care professionals (n=8). Breakout groups included: 1) Defining Key Life Course Sexuality Issues; 2) Building a Registry; and 3) Implementing Sexual Health Assessment. Breakout group summaries incorporated group consensus on key points and priorities. These generated six SWGs with volunteer leaders to accelerate future research and discovery: 1) Technology-Based Interventions; 2) Basic Science; 3) Clinical Trials; 4) Registries; 5) Measurement; and 6) Secondary Data Analysis. Most attendees volunteered for at least one SWG (n=35), and many volunteered for two (n=21). Conclusion This 1st National Conference demonstrated high motivation and broad

  10. Classification of spatial textures in benign and cancerous glandular tissues by stereology and stochastic geometry using artificial neural networks.

    Science.gov (United States)

    Mattfeldt, T; Gottfried, H; Schmidt, V; Kestler, H A

    2000-05-01

    Stereology and stochastic geometry can be used as auxiliary tools for diagnostic purposes in tumour pathology. Whether first-order parameters or stochastic-geometric functions are more important for the classification of the texture of biological tissues is not known. In the present study, volume and surface area per unit reference volume, the pair correlation function and the centred quadratic contact density function of epithelium were estimated in three case series of benign and malignant lesions of glandular tissues. The information provided by the latter functions was summarized by the total absolute areas between the estimated curves and their horizontal reference lines. These areas are considered as indicators of deviation of the tissue texture from a completely uncorrelated volume process and from the Boolean model with convex grains, respectively. We used both areas and the first-order parameters for the classification of cases using artificial neural networks (ANNs). Learning vector quantization and multilayer feedforward networks with backpropagation were applied as neural paradigms. Applications included distinction between mastopathy and mammary cancer (40 cases), between benign prostatic hyperplasia and prostatic cancer (70 cases) and between chronic pancreatitis and pancreatic cancer (60 cases). The same data sets were also classified with linear discriminant analysis. The stereological estimates in combination with ANNs or discriminant analysis provided high accuracy in the classification of individual cases. The question of which category of estimator is the most informative cannot be answered globally, but must be explored empirically for each specific data set. Using learning vector quantization, better results could often be obtained than by multilayer feedforward networks with backpropagation. PMID:10810010

  11. Comparison of Artificial Neural Network with Logistic Regression as Classification Models for Variable Selection for Prediction of Breast Cancer Patient Outcomes

    Directory of Open Access Journals (Sweden)

    Valérie Bourdès

    2010-01-01

    Full Text Available The aim of this study was to compare multilayer perceptron neural networks (NNs with standard logistic regression (LR to identify key covariates impacting on mortality from cancer causes, disease-free survival (DFS, and disease recurrence using Area Under Receiver-Operating Characteristics (AUROC in breast cancer patients. From 1996 to 2004, 2,535 patients diagnosed with primary breast cancer entered into the study at a single French centre, where they received standard treatment. For specific mortality as well as DFS analysis, the ROC curves were greater with the NN models compared to LR model with better sensitivity and specificity. Four predictive factors were retained by both approaches for mortality: clinical size stage, Scarff Bloom Richardson grade, number of invaded nodes, and progesterone receptor. The results enhanced the relevance of the use of NN models in predictive analysis in oncology, which appeared to be more accurate in prediction in this French breast cancer cohort.

  12. Internet and Social Network Recruitment: Two Case Studies

    OpenAIRE

    Johnson, Kathy A.; Peace, Jane

    2012-01-01

    The recruitment of study participants is a significant research challenge. The Internet, with its ability to reach large numbers of people in networks connected by email, Facebook and other social networking mechanisms, appears to offer new avenues for recruitment. This paper reports recruitment experiences from two research projects that engaged the Internet and social networks in different ways for study recruitment. Drawing from the non-Internet recruitment literature, we speculate that th...

  13. Social network analysis of study environment

    OpenAIRE

    Blaženka Divjak; Petra Peharda

    2010-01-01

    Student working environment influences student learning and achievement level. In this respect social aspects of students’ formal and non-formal learning play special role in learning environment. The main research problem of this paper is to find out if students' academic performance influences their position in different students' social networks. Further, there is a need to identify other predictors of this position. In the process of problem solving we use the Social Network Analysi...

  14. Inter-organizational network studies – a literature review

    DEFF Research Database (Denmark)

    Bergenholtz, Carsten; Waldstrøm, Christian

    2011-01-01

    of social network analysis. However, this has not been without serious theoretical and ethodological issues. Most notably, a number of the concepts, methods and theories used within the field of inter-organizational networks originate from research in interpersonal and intra-organizational networks...... where some of the methodological issues (e.g. unit of analysis and boundary specification) are more easily addressed. In order to map the different methodological approaches in the field of inter-organizational networks, this paper presents a large-scale systematic literature review of the last 12 years......’ research on inter-organizational networks, with a focus on the methodological features. Some of the main variables relate to the unit of analysis, whether social network analysis is applied and what concept of a network is involved. The main findings of this paper are that few of the previous studies have...

  15. Additional Treatments Offer Little Benefit for Pancreatic Cancer: Study

    Science.gov (United States)

    ... 158633.html Additional Treatments Offer Little Benefit for Pancreatic Cancer: Study Neither extra chemotherapy drug nor add-on ... 2016 (HealthDay News) -- Additional treatments for locally advanced pancreatic cancer don't appear to boost survival, a new ...

  16. Long Island Breast Cancer Study Project (Past Initiative)

    Science.gov (United States)

    The Long Island Breast Cancer Study Project is a multistudy effort to investigate whether environmental factors are responsible for breast cancer in Suffolk and Nassau counties, NY, as well as in Schoharie County, NY, and Tolland County, CT.

  17. Small Study Supports New Stool-Based Colon Cancer Test

    Science.gov (United States)

    ... 158388.html Small Study Supports New Stool-Based Colon Cancer Test Cologuard may help spot tumors, but researcher, ... more evidence that a recently approved, stool-based colon cancer test may be effective for certain patients. Still, ...

  18. Statins Might Not Lower Colon Cancer Risk: Study

    Science.gov (United States)

    ... news/fullstory_158506.html Statins Might Not Lower Colon Cancer Risk: Study But cholesterol levels may be associated ... does not appear to reduce the risk of colon cancer, but a person's cholesterol levels might affect risk, ...

  19. Neural network analysis of follow-up data in primary breast cancer.

    Science.gov (United States)

    Harbeck, N; Kates, R; Ulm, K; Graeff, H; Schmitt, M

    2000-01-01

    This paper reports on the performance of a recently developed neural network environment incorporating likelihood-based optimization and complexity reduction techniques in the analysis of breast cancer follow-up data with the goal of building up a clinical decision support system. The inputs to the neural network include classical factors such as grading, age, tumor size, estrogen and progesterone receptor measurements, as well as tumor biological markers such as PAI-1 and uPA. The network learns the structural relationship between these factors and the follow-up data. Examples of neural models for relapse-free survival are presented, which are based on data from 784 breast cancer patients who received their primary therapy at the Department of Obstetrics and Gynecology, Technische Universität München, Germany. The performance of the neural analysis as quantified by various indicators (likelihood, Kaplan-Meier curves, log-rank tests) was very high. For example, dividing the patients into two equally sized groups based on the neural score (i.e., cutoff = median score) leads to an estimated difference in relapse-free survival of 40% or better (80% vs. 40%) after 10 years in Kaplan-Meier analysis. Evidence for factor interactions as well as for time-varying impacts is presented. The neural network weights included in the models are significant at the 5% level. The use of neural network analysis and scoring in combination with strong tumor biological factors such as uPA and PAI-1 appears to result in a very effective risk group discrimination. Considerable additional comparison of data from different patient series will be required to establish the generalization capability more firmly. Nonetheless, the improvement of risk group discrimination represents an important step toward the use of neural networks for decision support in a clinical framework and in making the most of biological markers. PMID:10763154

  20. p42.3 gene expression in gastric cancer cell and its protein regulatory network analysis

    Directory of Open Access Journals (Sweden)

    Zhang Jianhua

    2012-12-01

    Full Text Available Abstract Background To analyze the p42.3 gene expression in gastric cancer (GC cell, find the relationship between protein structure and function, establish the regulatory network of p42.3 protein molecule and then to obtain the optimal regulatory pathway. Methods The expression of p42.3 gene was analyzed by RT-PCR, Western Blot and other biotechnologies. The relationship between the spatial conformation of p42.3 protein molecule and its function was analyzed using bioinformatics, MATLAB and related knowledge about protein structure and function. Furthermore, based on similarity algorithm of spatial layered spherical coordinate, we compared p42.3 molecule with several similar structured proteins which are known for the function, screened the characteristic nodes related to tumorigenesis and development, and established the multi variable relational model between p42.3 protein expression, cell cycle regulation and biological characteristics in the level of molecular regulatory networks. Finally, the optimal regulatory network was found by using Bayesian network. Results (1 The expression amount of p42.3 in G1 and M phase was higher than that in S and G2 phase; (2 The space coordinate systems of different structural domains of p42.3 protein were established in Matlab7.0 software; (3 The optimal pathway of p42.3 gene in protein regulatory network in gastric cancer is Ras protein, Raf-1 protein, MEK, MAPK kinase, MAPK, tubulin, spindle protein, centromere protein and tumor. Conclusion It is of vital significance for mechanism research to find out the action pathway of p42.3 in protein regulatory network, since p42.3 protein plays an important role in the generation and development of GC.

  1. Detecting Susceptibility to Breast Cancer with SNP-SNP Interaction Using BPSOHS and Emotional Neural Networks

    Science.gov (United States)

    Wang, Xiao; Fan, Yue

    2016-01-01

    Studies for the association between diseases and informative single nucleotide polymorphisms (SNPs) have received great attention. However, most of them just use the whole set of useful SNPs and fail to consider the SNP-SNP interactions, while these interactions have already been proven in biology experiments. In this paper, we use a binary particle swarm optimization with hierarchical structure (BPSOHS) algorithm to improve the effective of PSO for the identification of the SNP-SNP interactions. Furthermore, in order to use these SNP interactions in the susceptibility analysis, we propose an emotional neural network (ENN) to treat SNP interactions as emotional tendency. Different from the normal architecture, just as the emotional brain, this architecture provides a specific path to treat the emotional value, by which the SNP interactions can be considered more quickly and directly. The ENN helps us use the prior knowledge about the SNP interactions and other influence factors together. Finally, the experimental results prove that the proposed BPSOHS_ENN algorithm can detect the informative SNP-SNP interaction and predict the breast cancer risk with a much higher accuracy than existing methods. PMID:27294121

  2. Detecting Susceptibility to Breast Cancer with SNP-SNP Interaction Using BPSOHS and Emotional Neural Networks.

    Science.gov (United States)

    Wang, Xiao; Peng, Qinke; Fan, Yue

    2016-01-01

    Studies for the association between diseases and informative single nucleotide polymorphisms (SNPs) have received great attention. However, most of them just use the whole set of useful SNPs and fail to consider the SNP-SNP interactions, while these interactions have already been proven in biology experiments. In this paper, we use a binary particle swarm optimization with hierarchical structure (BPSOHS) algorithm to improve the effective of PSO for the identification of the SNP-SNP interactions. Furthermore, in order to use these SNP interactions in the susceptibility analysis, we propose an emotional neural network (ENN) to treat SNP interactions as emotional tendency. Different from the normal architecture, just as the emotional brain, this architecture provides a specific path to treat the emotional value, by which the SNP interactions can be considered more quickly and directly. The ENN helps us use the prior knowledge about the SNP interactions and other influence factors together. Finally, the experimental results prove that the proposed BPSOHS_ENN algorithm can detect the informative SNP-SNP interaction and predict the breast cancer risk with a much higher accuracy than existing methods. PMID:27294121

  3. Convergence and divergence of genetic and modular networks between diabetes and breast cancer

    Science.gov (United States)

    Zhang, Xiaoxu; Zhang, Yingying; Yu, Yanan; Liu, Jun; Yuan, Ye; Zhao, Yijun; Li, Haixia; Wang, Jie; Wang, Zhong

    2015-01-01

    Diabetes mellitus (DM) and breast cancer (BC) can simultaneously occur in the same patient populations, but the molecular relationship between them remains unknown. In this study, we constructed genetic networks and used modularized analysis approaches to investigate the multi-dimensional characteristics of two diseases and one disease subtype. A text search engine (Agilent Literature Search 2.71) and MCODE software were applied to validate potential subnetworks and to divide the modules, respectively. A total of 793 DM-related genes, 386 type 2 diabetes (T2DM) genes and 873 BC-related genes were identified from the Online Mendelian Inheritance in Man database. For DM and BC, a total of 99 overlapping genes, 9 modules, 29 biological processes and 7 pathways were identified. Meanwhile, for T2DM and BC, 56 overlapping genes, 5 modules, 20 biological processes and 12 pathways were identified. Based on the Gene Ontology functional enrichment analysis of the top 10 non-overlapping modules of the two diseases, 10 biological functions and 5 pathways overlapped between them. The glycosphingolipid and lysosome pathways verified molecular mechanisms of cell death related to both DM and BC. We also identified new biological functions of dopamine receptors and four signalling pathways (Parkinson's disease, Alzheimer's disease, Huntington's disease and long-term depression) related to both diseases; these warrant further investigation. Our results illustrate the landscape of the novel molecular substructures between DM and BC, which may support a new model for complex disease classification and rational therapies for multiple diseases. PMID:25752479

  4. STUDY OF DEPRESSION IN WOMEN WITH CERVICAL AND BREAST CANCER

    Directory of Open Access Journals (Sweden)

    Nimisha

    2015-02-01

    Full Text Available BACKGROUND : There is considerable lack of scientific estimate of depressive disorder among cancer patients in India. OBJECTIVES : (1 To associate the depressive disorders between the cervical cancer and breast cancer patients and (2 to compare the level of depressi on score among cervical and breast cancer patients , and with medically ill inpatient population with some other medical illnesses. SETTING AND DESIGN: A cross - sectional study at inpatient Department of Bharath Cancer Hospital and JSS Medical College Hospit al , Mysore. MATERIAL AND METHOD: The study was conducted on admitted thirty breast and thirty cervical cancer inpatients in medical ward of JSS Hospital and Bharath Cancer Hospital , Mysore from D ecember 2007 to august 2009. Data analysis was done for the both groups of cancer and with thirty control group of medically ill inpatient population with some other medical illnesses. Detailed psychological , sociodemographic characteristics were recorded in proforma specially designed for the study. Depression was assessed using MINI plus , HAMD scale and scoring was done. STATISTICAL ANALYSIS : Descriptive statistics , Cross tabs procedure , r epeated measure ANOVA statistical methods were carried out through the SPSS for Windows (version 16.0. RESULTS: Major depressi ve disorder was present in 16.7% of breast cancer and 23.3% of cervical cancer patients. . There was no significant asso ciation between type of cancer (B reast cancer and cervical cancer and depressive disorder. Depression score was found high in cervical c ancer cases compare to breast cancer cases though difference in these scores were not statistically significant in between two cancer groups. Depression score was high and significant in both cancer groups as compare to control group. CONCLUSION : Depressio n is more prevalent in cancer patients than in other several medical illneses and adequate knowledge is required for psychosocial interventions and designing

  5. Dairy consumption and ovarian cancer risk in the Netherlands Cohort Study on diet and cancer

    NARCIS (Netherlands)

    Mommers, M.; Schouten, L.J.; Goldbohm, R.A.; Brandt, P.A. van den

    2006-01-01

    Ovary cancer risk in relation to consumption of dairy products was investigated using a self-administered questionnaire on dietary habits and other risk factors for cancer, which was completed in 1986 by 62 573 postmenopausal women participating in the Netherlands Cohort Study. Follow-up for cancer

  6. A Distributed Network for Intensive Longitudinal Monitoring in Metastatic Triple-Negative Breast Cancer

    Science.gov (United States)

    Blau, C. Anthony; Ramirez, Arturo B.; Blau, Sibel; Pritchard, Colin C.; Dorschner, Michael O.; Schmechel, Stephen C.; Martins, Timothy J.; Mahen, Elisabeth M.; Burton, Kimberly A.; Komashko, Vitalina M.; Radenbaugh, Amie J.; Dougherty, Katy; Thomas, Anju; Miller, Christopher P.; Annis, James; Fromm, Jonathan R.; Song, Chaozhong; Chang, Elizabeth; Howard, Kellie; Austin, Sharon; Schmidt, Rodney A.; Linenberger, Michael L.; Becker, Pamela S.; Senecal, Francis M.; Mecham, Brigham H.; Lee, Su-In; Madan, Anup; Ronen, Roy; Dutkowski, Janusz; Heimfeld, Shelly; Wood, Brent L.; Stilwell, Jackie L.; Kaldjian, Eric P.; Haussler, David; Zhu, Jingchun

    2016-01-01

    Accelerating cancer research is expected to require new types of clinical trials. This report describes the Intensive Trial of OMics in Cancer (ITOMIC) and a participant with triple-negative breast cancer metastatic to bone, who had markedly elevated circulating tumor cells (CTCs) that were monitored 48 times over 9 months. A total of 32 researchers from 14 institutions were engaged in the patient’s evaluation; 20 researchers had no prior involvement in patient care and 18 were recruited specifically for this patient. Whole-exome sequencing of 3 bone marrow samples demonstrated a novel ROS1 variant that was estimated to be present in most or all tumor cells. After an initial response to cisplatin, a hypothesis of crizotinib sensitivity was disproven. Leukapheresis followed by partial CTC enrichment allowed for the development of a differential high-throughput drug screen and demonstrated sensitivity to investigational BH3-mimetic inhibitors of BCL-2 that could not be tested in the patient because requests to the pharmaceutical sponsors were denied. The number and size of CTC clusters correlated with clinical status and eventually death. Focusing the expertise of a distributed network of investigators on an intensively monitored patient with cancer can generate high-resolution views of the natural history of cancer and suggest new opportunities for therapy. Optimization requires access to investigational drugs. PMID:26733551

  7. US findings of bilateral primary breast cancer: Retrospective study

    International Nuclear Information System (INIS)

    Background: For women with breast cancer, the contralateral breast is at high risk. The bilateral cancers may be synchronous or metachronous. If the bilateral breast cancers have similar ultrasonography (US) appearances, the US findings of the first breast cancer (index cancer) might lead to early detection of the contralateral cancer. The purpose of this study was to identify the US characteristics of bilateral breast cancer and to determine whether bilateral breast cancers have similar US appearances and whether the US findings for one breast cancer might be predictive of the contralateral breast cancer. Methods: We retrospectively reviewed the US manifestations of 58 patients with surgically proven bilateral primary breast cancer and compared the contralateral cancer with the index cancer by evaluation the margin, shape, inside echoes, posterior attenuation, calcification and color flow signals of 58 lesion pairs to investigate whether the bilateral breast cancers have similar US appearances. Results: Bilateral primary breast cancers were more located in upper outer quadrant, frequently spiculation, taller than wide shape, with irregular margin, heterogeneous internal echo and acoustic shadowing, containing microcalcification and abundant color flow signals. The most common US appearances were taller than wide shape (75.0%, 87/116), irregular margins (79.3%, 92/116) and heterogeneous internal echo (86.2%, 100/116). Of the total 58 lesion pairs, 18 (31.0%) pairs had similar US characteristics, whereas 40 (69.0%) pairs had different US characteristics. Conclusions: US signs of the index cancer do not indicate the most likely appearance of the second cancer in the contralateral breast. Evaluation of the contralateral cancer should be performed without regard for the US findings for the index cancer

  8. Network connection of distributed electricity production - a preliminary study

    International Nuclear Information System (INIS)

    It will be necessary to lower the barriers for utilisation of distributed energy sources in order to increase the use of such sources in Norway. A relatively extensive R and D activity would be required for reaching this goal. Available Norwegian and international guidelines and technical requirements with respect to network connection of the distributed energy sources are studied with the aim of exposing needs for further R and D initiatives. A limited monitor is also carried out among the Norwegian network businesses with distributed units in their networks. The results show that the main focus in the R and D activities has drifted away from establishing guidelines for technical requirements for network coupling. Some verification work remains in investigating the usefulness of the existing international and the specific commercial network guidelines. For the network industry the main focus must be on the two following areas: 1) How will large concentrations of distributed production units connected to the same network influence the voltage quality and the delivery reliability in the networks. 2) How can the network businesses employ the distributed production units in their networks. A Nordic project (Finland, Sweden, Norway) which will study these problems is being established. Large national scientific institutions will be involved. The executive committee will consist of representatives from Finenergy, Elforsk and EBL Kompetanse and other financing institutions and industries. A Finnish business Merinova, is to be appointed to the project leadership

  9. Alcohol Intake and Cigarette Smoking and Risk of a Contralateral Breast Cancer: The Women's Environmental Cancer and Radiation Epidemiology Study

    OpenAIRE

    Knight, Julia A.; Bernstein, Leslie; Largent, Joan; Capanu, Marinela; Begg, Colin B; Mellemkjær, Lene; Lynch, Charles F.; Malone, Kathleen E.; Reiner, Anne S.; Liang, Xiaolin; Haile, Robert W.; Boice, John D.; Bernstein, Jonine L.

    2009-01-01

    Women with primary breast cancer are at increased risk of developing second primary breast cancer. Few studies have evaluated risk factors for the development of asynchronous contralateral breast cancer in women with breast cancer. In the Women's Environmental Cancer and Radiation Epidemiology Study (1985–2001), the roles of alcohol and smoking were examined in 708 women with asynchronous contralateral breast cancer (cases) compared with 1,399 women with unilateral breast cancer (controls). C...

  10. [Analysis of the medical activity related to cancer in a network of multidisciplinary hospitals using claims databases, the reseau Concorde Oncology Network].

    Science.gov (United States)

    Schott, Anne-Marie; Hajri, Touria; Gelas-Dore, Bénédicte; Couris, Chantal Marie; Couray-Targe, Sandrine; Trillet-Lenoir, Véronique; Dumeril, Bernard; Grandjean, Jean Paul; Lledo, Gérard; Poncet, Jean Luc; Colin, Cyrille; Cautela, Nicola; Gilly, François Noël

    2005-02-01

    Recently, to answer patients, caregivers and professionals needs, the "Plan Cancer" has been presented by the French Government. This plan is intended to improve quality of care in cancer patients and finally, patients' survival and quality of life. This planned strategy stresses the importance of organized interactions between hospitals and between the various health professionals. Measuring the number of patients with cancer and the activity related to cancer in large networks of multidisciplinary hospitals has became a real challenge in France for organizational, quality of care and economic reasons. Many University Hospitals in France have chosen to face this question by using the French DRG based information system called PMSI. It allows estimating the proportion of hospital stays concerned by cancers that are identified with algorithms based on ICD 10. However, French databases of hospital discharges do not allow patients identification. We collected data on hospital stays and patients in a subset of an organized network focused on cancer care and composed of 55 public or private hospitals in the Rhone-Alpes area. We used these data to estimate the number of patients who had been hospitalized within the network in 2000. Approximately 110,000 hospital stays were related with a diagnostic of cancer, corresponding to a number of patients within a range of 30345 to 35700. In absence of communicating files between hospitals, claims databases are an interesting source of information for cancer burden. The recent implementation of a procedure allowing the linkage of data concerning each patient should permit better estimates in the future. The main limitation will remain the possibility of a hospital to participate to more than one network. PMID:15749646

  11. A COMPARATIVE STUDY OF CAREGIVER BURDEN IN CANCER CERVIX AND CANCER BREAST ILLNESSES

    Directory of Open Access Journals (Sweden)

    Srinivasagopalan, Nappinnai, Solayappan

    2015-07-01

    Full Text Available Background: Caregivers of individuals suffering from cancer illnesses are at risk of having subjected to mental health consequences. There is a paucity of data comparing the caregiver burden of cancer breast and cancer cervix patients. Aim: The aim of the present study is to compare the caregiver burden of cancer breast and cancer cervix patients. To study the association of caregiver burden with demographic factors like age, gender, duration of caregiving etc. Materials & Methods: This Cross sectional study is performed on the key relatives of patients of 31 cancer cervix and 31 cancer breast patients. Burden assessment schedule was used. Results: Our findings suggest burden is more in male caregivers of breast cancer patients. It is not so in caregivers of cancer cervix patients. Whenever the caregiver is closely related to the patients the burden is high in both groups. Whenever the burden scores were high the depression scores were also high. Treatment modalities as a whole correlates with burden scores in caregivers of breast cancer patients but not in cancer cervix patients. Conclusion: Caregivers with breast and cervical cancer patients are vulnerable if the caregiver is male, from low socioeconomical background, more closely related and when the patients received poor treatment modalities.

  12. Low expression of leptin and its association with breast cancer: A transcriptomic study.

    Science.gov (United States)

    Karim, Sajjad; Merdad, Adnan; Schulten, Hans-Juergen; Jayapal, Manikandan; Dallol, Ashraf; Buhmeida, Abdelbaset; Al-Thubaity, Fatima; Mirza, Zeenat; Gari, Mamdooh A; Chaudhary, Adeel G; Abuzenadah, Adel M; Al-Qahtani, Mohammed H

    2016-07-01

    The incidence of breast cancer is alarmingly increasing worldwide and also among Saudi women. Obesity is linked with an increased cancer risk and studies have also revealed that leptin may be involved in breast tumorigenesis particularly among obese women. Numerous transcriptomic studies have been carried out worldwide; however, molecular studies among breast cancer patients of diverse ethnic groups from the Arabian Peninsula are scarce. In the present study, whole transcriptome analysis of 45 surgically resected breast tumors from Saudi Arabian female patients was carried out. Expression data were analyzed, and molecular networks and canonical pathways were identified. We identified 1,159 differentially expressed genes using p-value with a false discovery rate 2 as a cut-off. Using ingenuity pathway analysis tool, we identified many canonical pathways that were implicated in breast cancer for the first time. Notably, along with other lipid metabolism molecules, leptin (LEP)was one of the most downregulated genes (fold cut-off, -7.03) with significant differences between the breast cancer and the control groups (pcancer from a Saudi female population revealed downregulation of LEP. Molecular pathway analysis demonstrated the role of LEP and other associated molecules of the lipid metabolism pathway. Involvement of leptin and lipid metabolism in breast cancer was highlighted. The majority of cases presented were of late stage, stressing the need to educate individuals concerning early diagnostic testing and the life-style risk factors for breast cancer such as unhealthy diet and obesity. PMID:27177292

  13. Converting PSO dynamics into complex network - Initial study

    Science.gov (United States)

    Pluhacek, Michal; Janostik, Jakub; Senkerik, Roman; Zelinka, Ivan

    2016-06-01

    In this paper it is presented the initial study on the possibility of capturing the inner dynamic of Particle Swarm Optimization algorithm into a complex network structure. Inspired in previous works there are two different approaches for creating the complex network presented in this paper. Visualizations of the networks are presented and commented. The possibilities for future applications of the proposed design are given in detail.

  14. Metabolic robustness and network modularity: A model study

    OpenAIRE

    Holme, Petter

    2010-01-01

    [Background] Several studies have mentioned network modularity -- that a network can easily be decomposed into subgraphs that are densely connected within and weakly connected between each other -- as a factor affecting metabolic robustness. In this paper we measure the relation between network modularity and several aspects of robustness directly in a model system of metabolism. [Methodology/Principal Findings] By using a model for generating chemical reaction systems where one can tune the ...

  15. Dietary polyphenols and colorectal cancer risk: The Fukuoka colorectal cancer study

    OpenAIRE

    Zhen-Jie Wang; Keizo Ohnaka; Makiko Morita; Kengo Toyomura; Suminori Kono; Takashi Ueki; Masao Tanaka; Yoshihiro Kakeji; Yoshihiko Maehara; Takeshi Okamura; Koji Ikejiri; Kitaroh Futami; Takafumi Maekawa; Yohichi Yasunami; Kenji Takenaka

    2013-01-01

    AIM: To investigate the associations between dietary intake of polyphenols and colorectal cancer. METHODS: The study subjects were derived from the Fukuoka colorectal cancer study, a community-based case-control study. The study subjects were 816 cases of colorectal cancer and 815 community-based controls. The consumption of 148 food items was assessed by a computer-assisted interview. We used the consumption of 97 food items to estimate dietary intakes of total, tea and coffee polyphenols. T...

  16. Radical cystectomy for the treatment of T1 bladder cancer: the Canadian Bladder Cancer Network experience

    Science.gov (United States)

    Chalasani, Venu; Kassouf, Wassim; Chin, Joseph L.; Fradet, Yves; Aprikian, Armen G.; Fairey, Adrian S.; Estey, Eric; Lacombe, Louis; Rendon, Ricardo; Bell, David; Cagiannos, Ilias; Drachenberg, Darrell; Lattouf, Jean-Baptiste; Izawa, Jonathan I.

    2011-01-01

    Background: Radical cystectomy may provide optimal survival outcomes in the management of clinical T1 bladder cancer. We present our data from a large, multi-institutional, contemporary Canadian series of patients who underwent radical cystectomy for clinical T1 bladder cancer in a single-payer health care system. Methods: We collected a pooled database of 2287 patients who underwent radical cystectomy between 1993 and 2008 in 8 different centres across Canada; 306 of these patients had clinical T1 bladder cancer. Survival data were analyzed using Kaplan-Meier method and Cox regression analysis. Results: The median age of patients was 67 years with a mean follow-up time of 35 months. The 5-year overall, disease-specific and disease-free survival was 71%, 77% and 59%, respectively. The 10-year overall and disease-specific survival were 60% and 67%, respectively. Pathologic stage distribution was p0: 32 (11%), pT1: 78 (26%), pT2: 55 (19%), pT3: 60 (20%), pT4: 27 (9%), pTa: 16 (5%), pTis: 28 (10%), pN0: 215 (74%) and pN1-3: 78 (26%). Only 12% of patients were given adjuvant chemotherapy. On multivariate analysis, only margin status and pN stage were independently associated with overall, disease-specific and disease-free survival. Interpretation: These results indicate that clinical T1 bladder cancer may be significantly understaged. Identifying factors associated with understaged and/or disease destined to progress (despite any prior intravesical or repeat transurethral therapies prior to radical cystectomy) will be critical to improve survival outcomes without over-treating clinical T1 disease that can be successfully managed with bladder preservation strategies. PMID:21470529

  17. Organization of enzyme concentration across the metabolic network in cancer cells.

    Directory of Open Access Journals (Sweden)

    Neel S Madhukar

    Full Text Available Rapid advances in mass spectrometry have allowed for estimates of absolute concentrations across entire proteomes, permitting the interrogation of many important biological questions. Here, we focus on a quantitative aspect of human cancer cell metabolism that has been limited by a paucity of available data on the abundance of metabolic enzymes. We integrate data from recent measurements of absolute protein concentration to analyze the statistics of protein abundance across the human metabolic network. At a global level, we find that the enzymes in glycolysis comprise approximately half of the total amount of metabolic proteins and can constitute up to 10% of the entire proteome. We then use this analysis to investigate several outstanding problems in cancer metabolism, including the diversion of glycolytic flux for biosynthesis, the relative contribution of nitrogen assimilating pathways, and the origin of cellular redox potential. We find many consistencies with current models, identify several inconsistencies, and find generalities that extend beyond current understanding. Together our results demonstrate that a relatively simple analysis of the abundance of metabolic enzymes was able to reveal many insights into the organization of the human cancer cell metabolic network.

  18. German second-opinion network for testicular cancer: Sealing the leaky pipe between evidence and clinical practice

    Science.gov (United States)

    ZENGERLING, FRIEDEMANN; HARTMANN, MICHAEL; HEIDENREICH, AXEL; KREGE, SUSANNE; ALBERS, PETER; KARL, ALEXANDER; WEISSBACH, LOTHAR; WAGNER, WALTER; BEDKE, JENS; RETZ, MARGITTA; SCHMELZ, HANS U.; KLIESCH, SABINE; KUCZYK, MARKUS; WINTER, EVA; POTTEK, TOBIAS; DIECKMANN, KLAUS-PETER; SCHRADER, ANDRES JAN; SCHRADER, MARK

    2014-01-01

    In 2006, the German Testicular Cancer Study Group initiated an extensive evidence-based national second-opinion network to improve the care of testicular cancer patients. The primary aims were to reflect the current state of testicular cancer treatment in Germany and to analyze the project’s effect on the quality of care delivered to testicular cancer patients. A freely available internet-based platform was developed for the exchange of data between the urologists seeking advice and the 31 second-opinion givers. After providing all data relevant to the primary treatment decision, urologists received a second opinion on their therapy plan within h. Endpoints were congruence between the first and second opinion, conformity of applied therapy with the corresponding recommendation and progression-free survival rate of the introduced patients. Significance was determined by two-sided Pearson’s χ2 test. A total of 1,284 second-opinion requests were submitted from November 2006 to October 2011, and 926 of these cases were eligible for further analysis. A discrepancy was found between first and second opinion in 39.5% of the cases. Discrepant second opinions led to less extensive treatment in 28.1% and to more extensive treatment in 15.6%. Patients treated within the framework of the second-opinion project had an overall 2-year progression-free survival rate of 90.4%. Approximately every 6th second opinion led to a relevant change in therapy. Despite the lack of financial incentives, data from every 8th testicular cancer patient in Germany were submitted to second-opinion centers. Second-opinion centers can help to improve the implementation of evidence into clinical practice. PMID:24788853

  19. Oral cancer awareness amongst hospital nursing staff: a pilot study

    OpenAIRE

    Johnson Sarah; Kavi Vikram P; Harris Andrew T; Carter Lachlan M; Kanatas Anastasios

    2009-01-01

    Abstract Background Oral cancer is as prevalent as cervical and testicular cancer in the United Kingdom. Nursing staff provide the oral health care for the patient population in hospital. Admission to hospital provides a 'window of opportunity' for oral cancer 'screening' via an oral health check during nursing clerking. This study aimed to investigate whether nursing staff are aware of risk factors for oral cancer, its clinical signs, and could therefore provide a 'screening' service for ora...

  20. Transport Network Technologies – Study and Testing

    DEFF Research Database (Denmark)

    Bozorgebrahimi, K.; Channegowda, M.; Colmenero, A.;

    Following on from the theoretical research into Carrier Class Transport Network Technologies (CCTNTs) documented in DJ1.1.1, this report describes the extensive testing performed by JRA1 Task 1. The tests covered EoMPLS, Ethernet OAM, Synchronous Ethernet, PBB-TE, MPLS-TP, OTN and GMPLS...

  1. Study protocol:Rehabilitation including social and physical activity and education in children and teenagers with cancer (RESPECT)

    OpenAIRE

    Thorsteinsson, Troels; Helms, Anne Sofie; Adamsen, Lis; Andersen, Lars Bo; Andersen, Karen Vitting; Christensen, Karl Bang; Halse, Henrik; Heilmann, Carsten; Hejgaard, Nete; Johansen, Christoffer; Madsen, Marianne; Madsen, Svend Aage; Simovska, Venka; Strange, Birgit; Thing, Lone Friis

    2013-01-01

    Background During cancer treatment children have reduced contact with their social network of friends, and have limited participation in education, sports, and leisure activities. During and following cancer treatment, children describe school related problems, reduced physical fitness, and problems related to interaction with peers. Methods/design The RESPECT study is a nationwide population-based prospective, controlled, mixed-methods intervention study looking at children aged 6-18 years n...

  2. Network analysis of ChIP-Seq data reveals key genes in prostate cancer

    OpenAIRE

    Zhang, Yu; Huang, Zhen; Zhu, Zhiqiang; Liu, Jianwei; Zheng, Xin; Zhang, Yuhai

    2014-01-01

    Background Prostate cancer (PC) is the second most common cancer among men in the United States, and it imposes a considerable threat to human health. A deep understanding of its underlying molecular mechanisms is the premise for developing effective targeted therapies. Recently, deep transcriptional sequencing has been used as an effective genomic assay to obtain insights into diseases and may be helpful in the study of PC. Methods In present study, ChIP-Seq data for PC and normal samples we...

  3. Pico Cell Densification Study in LTE Heterogeneous Networks

    OpenAIRE

    Cong, Guanglei

    2012-01-01

    Heterogeneous Network (HetNet) deployment has been considered as the main approach to boost capacity and coverage in Long Term Evolu-tion (LTE) networks in order to fulfill the huge future demand on mo-bile broadband usage. In order to study the improvement on network performance, i.e. capacity, coverage and user throughput, from pico cell densification in LTE HetNets, a network densification algorithm which determines the placement locations of the pico sites based on pathloss has been desig...

  4. Comptia network+ study guide exam N10-004

    CERN Document Server

    Lammle, Todd

    2009-01-01

    Bestselling author Todd Lammle thoroughly covers this first revision of the CompTIA Network+ exam since 2005. Using his one-of-a-kind conversational style, Todd gives you clear and concise information on crucial networking topics through practical examples and insights drawn from his real-world experience. This Study Guide thoroughly covers all exam objectives for the CompTIA Network+ exam (N10-004), including key topics such as network technologies, media and topologies, devices, management, tools, and security. Along with the book you get a CD-ROM featuring a custom test engine with chapter

  5. The complexity of crime network data: a case study of its consequences for crime control and the study of networks.

    Directory of Open Access Journals (Sweden)

    Amir Rostami

    Full Text Available The field of social network analysis has received increasing attention during the past decades and has been used to tackle a variety of research questions, from prevention of sexually transmitted diseases to humanitarian relief operations. In particular, social network analyses are becoming an important component in studies of criminal networks and in criminal intelligence analysis. At the same time, intelligence analyses and assessments have become a vital component of modern approaches in policing, with policy implications for crime prevention, especially in the fight against organized crime. In this study, we have a unique opportunity to examine one specific Swedish street gang with three different datasets. These datasets are the most common information sources in studies of criminal networks: intelligence, surveillance and co-offending data. We use the data sources to build networks, and compare them by computing distance, centrality, and clustering measures. This study shows the complexity factor by which different data sources about the same object of study have a fundamental impact on the results. The same individuals have different importance ranking depending on the dataset and measure. Consequently, the data source plays a vital role in grasping the complexity of the phenomenon under study. Researchers, policy makers, and practitioners should therefore pay greater attention to the biases affecting the sources of the analysis, and be cautious when drawing conclusions based on intelligence assessments and limited network data. This study contributes to strengthening social network analysis as a reliable tool for understanding and analyzing criminality and criminal networks.

  6. Network-Based Approaches to Understand the Roles of miR-200 and Other microRNAs in Cancer.

    Science.gov (United States)

    Bracken, Cameron P; Khew-Goodall, Yeesim; Goodall, Gregory J

    2015-07-01

    microRNAs (miRNA) are well suited to the task of regulating gene expression networks, because any given miRNA has the capacity to target dozens, if not hundreds, of genes. The simultaneous targeting of multiple genes within a pathway may enable miRNAs to more strongly regulate the pathway, or to achieve more subtle control through the targeting of distinct subnetworks of genes. Therefore, as our capacity to discover miRNA targets en masse increases, so must our consideration of the complex networks in which these genes participate. We highlight recent studies in which the comprehensive identification of targets has been used to elucidate miRNA-regulated gene networks in cancer, focusing especially upon miRNAs such as members of the miR-200 family that regulate epithelial-mesenchymal transition (EMT), a reversible phenotypic switch whereby epithelial cells take on the more invasive properties of their mesenchymal counterparts. These studies have expanded our understanding of the roles of miRNAs in EMT, which were already known to form important regulatory loops with key transcription factors to regulate the epithelial or mesenchymal properties of cells. PMID:26069247

  7. Earth Regimes Network Evolution Study (ERNESt): Introducing the Space Mobile Network

    Science.gov (United States)

    Menrad, Bob

    2016-01-01

    Speaker and Presenter at the Lincoln Laboratory Communications Workshop on April 5, 2016 at the Massachusetts Institute of Technology Lincoln Laboratory in Lexington, MA. A visual presentation titled Earth Regimes Network Evolution Study (ERNESt).

  8. Artificial neural network analysis of circulating tumor cells in metastatic breast cancer patients.

    Science.gov (United States)

    Giordano, Antonio; Giuliano, Mario; De Laurentiis, Michelino; Eleuteri, Antonio; Iorio, Francesco; Tagliaferri, Roberto; Hortobagyi, Gabriel N; Pusztai, Lajos; De Placido, Sabino; Hess, Kenneth; Cristofanilli, Massimo; Reuben, James M

    2011-09-01

    A cut-off of 5 circulating tumor cells (CTCs) per 7.5 ml of blood in metastatic breast cancer (MBC) patients is highly predictive of outcome. We analyzed the relationship between CTCs as a continuous variable and overall survival in immunohistochemically defined primary tumor molecular subtypes using an artificial neural network (ANN) prognostic tool to determine the shape of the relationship between risk of death and CTC count and to predict individual survival. We analyzed a training dataset of 311 of 517 (60%) consecutive MBC patients who had been treated at MD Anderson Cancer Center from September 2004 to 2009 and who had undergone pre-therapy CTC counts (CellSearch(®)). Age; estrogen, progesterone receptor, and HER2 status; visceral metastasis; metastatic disease sites; therapy type and line; and CTCs as a continuous value were evaluated using ANN. A model with parameter estimates obtained from the training data was tested in a validation set of the remaining 206 (40%) patients. The model estimates were accurate, with good discrimination and calibration. Risk of death, as estimated by ANN, linearly increased with increasing CTC count in all molecular tumor subtypes but was higher in ER+ and triple-negative MBC than in HER2+. The probabilities of survival for the four subtypes with 0 CTC were as follows: ER+/HER2- 0.947, ER+/HER2+ 0.959, ER-/HER2+ 0.902, and ER-/HER2- 0.875. For patients with 200 CTCs, they were ER+/HER2- 0.439, ER+/HER2+ 0.621, ER-/HER2+ 0.307, ER-/HER2- 0.130. In this large study, ANN revealed a linear increase of risk of death in MBC patients with increasing CTC counts in all tumor subtypes. CTCs' prognostic effect was less evident in HER2+ MBC patients treated with targeted therapy. This study may support the concept that the number of CTCs, along with the biologic characteristics, needs to be carefully taken into account in future analysis. PMID:21710134

  9. Direct analysis of blood serum by total reflection X-ray fluorescence spectrometry and application of an artificial neural network approach for cancer diagnosis*1

    Science.gov (United States)

    Hernández-Caraballo, Edwin A.; Marcó-Parra, Lué M.

    2003-12-01

    Iron, copper, zinc and selenium were determined directly in serum samples from healthy individuals ( n=33) and cancer patients ( n=27) by total reflection X-ray fluorescence spectrometry using the Compton peak as internal standard [L.M. Marcó P. et al., Spectrochim. Acta Part B 54 (1999) 1469-1480]. The standardized concentrations of these elements were used as input data for two-layer artificial neural networks trained with the generalized delta rule in order to classify such individuals according to their health status. Various artificial neural networks, comprising a linear function in the input layer, a hyperbolic tangent function in the hidden layer and a sigmoid function in the output layer, were evaluated for such a purpose. Of the networks studied, the (4:4:1) gave the highest estimation (98%) and prediction rates (94%). The latter demonstrates the potential of the total reflection X-ray fluorescence spectrometry/artificial neural network approach in clinical chemistry.

  10. Direct analysis of blood serum by total reflection X-ray fluorescence spectrometry and application of an artificial neural network approach for cancer diagnosis

    International Nuclear Information System (INIS)

    Iron, copper, zinc and selenium were determined directly in serum samples from healthy individuals (n=33) and cancer patients (n=27) by total reflection X-ray fluorescence spectrometry using the Compton peak as internal standard [L.M. Marco P. et al., Spectrochim. Acta Part B 54 (1999) 1469-1480]. The standardized concentrations of these elements were used as input data for two-layer artificial neural networks trained with the generalized delta rule in order to classify such individuals according to their health status. Various artificial neural networks, comprising a linear function in the input layer, a hyperbolic tangent function in the hidden layer and a sigmoid function in the output layer, were evaluated for such a purpose. Of the networks studied, the (4:4:1) gave the highest estimation (98%) and prediction rates (94%). The latter demonstrates the potential of the total reflection X-ray fluorescence spectrometry/artificial neural network approach in clinical chemistry

  11. Endometrial cancer following treatment for breast cancer: a case-control study in Denmark.

    OpenAIRE

    Ewertz, M.; S.G. Machado; Boice, J. D.; Jensen, O M

    1984-01-01

    To evaluate the risk of endometrial cancer subsequent to breast cancer, a case-control study was carried out in Denmark. Between 1943-1977, 115 cases of histologically confirmed endometrial carcinoma developed more than 3 months after the diagnosis of a primary breast cancer in 51,638 women. A total of 235 breast cancer patients with no second primary cancer were matched to the cases on age, calendar year of diagnosis, and survival with an intact uterus. Identification of cases and controls r...

  12. VMAT planning study in rectal cancer patients

    International Nuclear Information System (INIS)

    To compare the dosimetric differences among fixed field intensity-modulated radiation therapy (IMRT), single-arc volumetric-modulated arc therapy (SA-VMAT) and double-arc volumetric-modulated arc therapy (DA-VMAT) plans in rectal cancer. Fifteen patients with rectal cancer previously treated with IMRT in our institution were selected for this study. For each patient, three plans were generated with the planning CT scan: one using a fixed beam IMRT, and two plans using the VMAT technique: SA-VMAT and DA-VMAT. Dose prescription to the PTV was 50 Gy in 2 Gy per fraction. Dose volume histograms (DVH) for the target volume and the organs at risk (small bowel, bladder, femoral heads and healthy tissue) were compared for these different techniques. Monitor units (MU) and delivery treatment time were also reported. DA-VMAT achieved the highest minimum planning target volume (PTV) dose and the lowest maximal dose, resulting in the most homogeneous PTV dose distribution. DA-VMAT also yielded the best CI, although the difference was not statistically significant. Between SA-VMAT and IMRT, the target dose coverage was largely comparable; however, SA-VMAT was able to achieve a better V95 and V107. VMAT showed to be inferior to IMRT in terms of organ at risk sparing, especially for the small bowel. Compared with IMRT, DA-VMAT increased the V15 of small bowel nearly 55 cc. The MU and treatment delivery time were significantly reduced by the use of VMAT techniques. VMAT is a new radiation technique that combines the ability to achieve highly conformal dose distributions with highly efficient treatment delivery. Considering the inferior role of normal tissue sparing, especially for small bowel, VMAT need further investigation in rectal cancer treatment

  13. Cancer risk at low doses of ionizing radiation: artificial neural networks inference from atomic bomb survivors.

    Science.gov (United States)

    Sasaki, Masao S; Tachibana, Akira; Takeda, Shunichi

    2014-05-01

    Cancer risk at low doses of ionizing radiation remains poorly defined because of ambiguity in the quantitative link to doses below 0.2 Sv in atomic bomb survivors in Hiroshima and Nagasaki arising from limitations in the statistical power and information available on overall radiation dose. To deal with these difficulties, a novel nonparametric statistics based on the 'integrate-and-fire' algorithm of artificial neural networks was developed and tested in cancer databases established by the Radiation Effects Research Foundation. The analysis revealed unique features at low doses that could not be accounted for by nominal exposure dose, including (i) the presence of a threshold that varied with organ, gender and age at exposure, and (ii) a small but significant bumping increase in cancer risk at low doses in Nagasaki that probably reflects internal exposure to (239)Pu. The threshold was distinct from the canonical definition of zero effect in that it was manifested as negative excess relative risk, or suppression of background cancer rates. Such a unique tissue response at low doses of radiation exposure has been implicated in the context of the molecular basis of radiation-environment interplay in favor of recently emerging experimental evidence on DNA double-strand break repair pathway choice and its epigenetic memory by histone marking. PMID:24366315

  14. Cancer risk at low doses of ionizing radiation. Artificial neural networks inference from atomic bomb survivors

    International Nuclear Information System (INIS)

    Cancer risk at low doses of ionizing radiation remains poorly defined because of ambiguity in the quantitative link to doses below 0.2 Sv in atomic bomb survivors in Hiroshima and Nagasaki arising from limitations in the statistical power and information available on overall radiation dose. To deal with these difficulties, a novel nonparametric statistics based on the ‘integrate-and-fire’ algorithm of artificial neural networks was developed and tested in cancer databases established by the Radiation Effects Research Foundation. The analysis revealed unique features at low doses that could not be accounted for by nominal exposure dose, including (1) the presence of a threshold that varied with organ, gender and age at exposure, and (2) a small but significant bumping increase in cancer risk at low doses in Nagasaki that probably reflects internal exposure to 239Pu. The threshold was distinct from the canonical definition of zero effect in that it was manifested as negative excess relative risk, or suppression of background cancer rates. Such a unique tissue response at low doses of radiation exposure has been implicated in the context of the molecular basis of radiation–environment interplay in favor of recently emerging experimental evidence on DNA double-strand break repair pathway choice and its epigenetic memory by histone marking. (author)

  15. Targeting an IKBKE cytokine network impairs triple-negative breast cancer growth.

    Science.gov (United States)

    Barbie, Thanh U; Alexe, Gabriela; Aref, Amir R; Li, Shunqiang; Zhu, Zehua; Zhang, Xiuli; Imamura, Yu; Thai, Tran C; Huang, Ying; Bowden, Michaela; Herndon, John; Cohoon, Travis J; Fleming, Timothy; Tamayo, Pablo; Mesirov, Jill P; Ogino, Shuji; Wong, Kwok-Kin; Ellis, Matthew J; Hahn, William C; Barbie, David A; Gillanders, William E

    2014-12-01

    Triple-negative breast cancers (TNBCs) are a heterogeneous set of cancers that are defined by the absence of hormone receptor expression and HER2 amplification. Here, we found that inducible IκB kinase-related (IKK-related) kinase IKBKE expression and JAK/STAT pathway activation compose a cytokine signaling network in the immune-activated subset of TNBC. We found that treatment of cultured IKBKE-driven breast cancer cells with CYT387, a potent inhibitor of TBK1/IKBKE and JAK signaling, impairs proliferation, while inhibition of JAK alone does not. CYT387 treatment inhibited activation of both NF-κB and STAT and disrupted expression of the protumorigenic cytokines CCL5 and IL-6 in these IKBKE-driven breast cancer cells. Moreover, in 3D culture models, the addition of CCL5 and IL-6 to the media not only promoted tumor spheroid dispersal but also stimulated proliferation and migration of endothelial cells. Interruption of cytokine signaling by CYT387 in vivo impaired the growth of an IKBKE-driven TNBC cell line and patient-derived xenografts (PDXs). A combination of CYT387 therapy with a MEK inhibitor was particularly effective, abrogating tumor growth and angiogenesis in an aggressive PDX model of TNBC. Together, these findings reveal that IKBKE-associated cytokine signaling promotes tumorigenicity of immune-driven TNBC and identify a potential therapeutic strategy using clinically available compounds. PMID:25365225

  16. Earthquake correlations and networks: A comparative study

    International Nuclear Information System (INIS)

    We quantify the correlation between earthquakes and use the same to extract causally connected earthquake pairs. Our correlation metric is a variation on the one introduced by Baiesi and Paczuski [M. Baiesi and M. Paczuski, Phys. Rev. E 69, 066106 (2004)]. A network of earthquakes is then constructed from the time-ordered catalog and with links between the more correlated ones. A list of recurrences to each of the earthquakes is identified employing correlation thresholds to demarcate the most meaningful ones in each cluster. Data pertaining to three different seismic regions (viz., California, Japan, and the Himalayas) are comparatively analyzed using such a network model. The distribution of recurrence lengths and recurrence times are two of the key features analyzed to draw conclusions about the universal aspects of such a network model. We find that the unimodal feature of recurrence length distribution, which helps to associate typical rupture lengths with different magnitude earthquakes, is robust across the different seismic regions. The out-degree of the networks shows a hub structure rooted on the large magnitude earthquakes. In-degree distribution is seen to be dependent on the density of events in the neighborhood. Power laws, with two regimes having different exponents, are obtained with recurrence time distribution. The first regime confirms the Omori law for aftershocks while the second regime, with a faster falloff for the larger recurrence times, establishes that pure spatial recurrences also follow a power-law distribution. The crossover to the second power-law regime can be taken to be signaling the end of the aftershock regime in an objective fashion.

  17. External Validation of an Artificial Neural Network and Two Nomograms for Prostate Cancer Detection

    OpenAIRE

    Ecke, Thorsten H.; Steffen Hallmann; Stefan Koch; Jürgen Ruttloff; Henning Cammann; Holger Gerullis; Kurt Miller; Carsten Stephan

    2012-01-01

    Background. Multivariate models are used to increase prostate cancer (PCa) detection rate and to reduce unnecessary biopsies. An external validation of the artificial neural network (ANN) “ProstataClass” (ANN-Charité) was performed with daily routine data. Materials and Methods. The individual ANN predictions were generated with the use of the ANN application for PSA and free PSA assays, which rely on age, tPSA, %fPSA, prostate volume, and DRE (ANN-Charité). Diagnostic validity of tPSA, %fPSA...

  18. Gene Expression Correlations in Human Cancer Cell Lines Define Molecular Interaction Networks for Epithelial Phenotype

    OpenAIRE

    Kohn, Kurt W.; Zeeberg, Barry M.; Reinhold, William C.; Pommier, Yves

    2014-01-01

    Using gene expression data to enhance our knowledge of control networks relevant to cancer biology and therapy is a challenging but urgent task. Based on the premise that genes that are expressed together in a variety of cell types are likely to functions together, we derived mutually correlated genes that function together in various processes in epithelial-like tumor cells. Expression-correlated genes were derived from data for the NCI-60 human tumor cell lines, as well as data from the Bro...

  19. Microfabricated platforms for the study of neuronal and cellular networks

    Energy Technology Data Exchange (ETDEWEB)

    Berdondini, L; Generelli, S; Kraus, T; Guenat, O T; Koster, S; Linder, V; Koudelka-Hep, M; Rooij, N F de [SAMLAB, Institute of Microtechnology, University of Neuchatel (Switzerland)

    2006-04-01

    In this contribution we present the development of three microfabricated devices for the study of neuronal and cellular networks. Together, these devices form an attractive toolbox, which is useful to stimulate and record signals of both electrical and chemical nature. One approach consist of microelectrode arrays for the study of neuronal networks, and allow for the electrical stimulation of individual cells in the network, while the other electrodes of the array record the electrical activity of the remaining cells of the network. We also present the use of micropipettes that can measure the extra- and intracellular concentrations of ions in cells cultures. A third approach exploits the laminar flows in a microfluidic device, to deliver minute amounts of drug to some cells in a cellular network. These three illustrations show that microfabricated platforms are appealing analytical tools in the context of cell biology.

  20. Error Propagation in Geodetic Networks Studied by FEMLAB

    DEFF Research Database (Denmark)

    Borre, Kai

    2009-01-01

    thousand points. This leads to so large matrix problems that one starts thinking of using continous network models. They result in one or more differential equations with corresponding boundary conditions. The Green’s function works like the covariance matrix in the discrete case. If we can find the Green......’s function we also can study error propagation through large networks. Exactly this idea is exploited for error propagation studies in large geodetic networks. To solve the boundary value problems we have used the FEMLAB software. It is a powerful tool for this type of problems. The M-file was created by...... and estimate the solution by using the principle of least squares. Contemporary networks often contain several thousand points. This leads to so large matrix problems that one starts thinking of using continous network models. They result in one or more differential equations with corresponding...

  1. Antigua/Barbuda Cancer Mortality Study

    Directory of Open Access Journals (Sweden)

    GS Daniel

    2014-10-01

    Full Text Available Objective: To determine the cancer mortality rates in Antigua and Barbuda in an effort to enhance the profile of the country’s cancer burden. Method: Available data for 2001 to 2005 were analysed to obtain cancer mortality rates. Analysis was also made of the mortality/incidence ratios. Results: There were 354 cancer deaths – 208 males (age standardized rates (ASR 111.9 and 146 females (ASR 66.3. The main causes were prostate (ASR 53 and breast (ASR 22. The mortality rates for cancers of the lung (ASR 5.09 males, 2.49 females and brain/nervous system (ASR 0.45 males, 1.7 females were significantly lower than those in the Caribbean. Conclusion: Mortality rates were highest for sex-specific cancers, accounting for more than 50% of cancer deaths.

  2. Sugars, sucrose and colorectal cancer risk: the Fukuoka colorectal cancer study

    OpenAIRE

    Wang, Zhenjie; Uchida, Kazuhiro; Ohnaka, Keizo; Morita, Makiko; Toyomura, Kengo; Kono, Suminori; Ueki, Takashi; Tanaka, Masao; Kakeji, Yoshihiro; Maehara, Yoshihiko; Okamura, Takeshi; Ikejiri, Koji; Futami, Kitaroh; Maekawa, Takafumi; Yasunami, Yohichi

    2014-01-01

    Objective A diet high in sugars may promote colorectal carcinogenesis, but it remains uncertain whether high intake of sugars or sucrose confers increased risk of colorectal cancer. The authors investigated the associations of sugars and sucrose intake with colorectal cancer risk in a community-based case–control study in Japan. Methods The study subjects comprised 816 incident cases of colorectal cancer and 815 community controls. Consumption frequencies and portion sizes of 148 food and bev...

  3. Family History of Diabetes and Pancreatic Cancer as Risk Factors for Pancreatic Cancer: The PACIFIC Study

    OpenAIRE

    Austin, Melissa A.; Kuo, Elena; Van Den Eeden, Stephen K; Mandelson, Margaret T.; Brentnall, Teresa A.; Kamineni, Aruna; Potter, John D.

    2013-01-01

    Genetic association studies have identified more than a dozen genes associated with risk of pancreatic cancer. Given this genetic heterogeneity, family history can be useful for identifying individuals at high-risk for this disease. The goal of this analysis was to evaluate associations of family history of diabetes and family history of pancreatic cancer with risk of pancreatic cancer. PACIFIC is a case-control study based in two large health plans. Cases were diagnosed wit...

  4. Analysis of the molecular networks in androgen dependent and independent prostate cancer revealed fragile and robust subsystems.

    Directory of Open Access Journals (Sweden)

    Ryan Tasseff

    Full Text Available Androgen ablation therapy is currently the primary treatment for metastatic prostate cancer. Unfortunately, in nearly all cases, androgen ablation fails to permanently arrest cancer progression. As androgens like testosterone are withdrawn, prostate cancer cells lose their androgen sensitivity and begin to proliferate without hormone growth factors. In this study, we constructed and analyzed a mathematical model of the integration between hormone growth factor signaling, androgen receptor activation, and the expression of cyclin D and Prostate-Specific Antigen in human LNCaP prostate adenocarcinoma cells. The objective of the study was to investigate which signaling systems were important in the loss of androgen dependence. The model was formulated as a set of ordinary differential equations which described 212 species and 384 interactions, including both the mRNA and protein levels for key species. An ensemble approach was chosen to constrain model parameters and to estimate the impact of parametric uncertainty on model predictions. Model parameters were identified using 14 steady-state and dynamic LNCaP data sets taken from literature sources. Alterations in the rate of Prostatic Acid Phosphatase expression was sufficient to capture varying levels of androgen dependence. Analysis of the model provided insight into the importance of network components as a function of androgen dependence. The importance of androgen receptor availability and the MAPK/Akt signaling axes was independent of androgen status. Interestingly, androgen receptor availability was important even in androgen-independent LNCaP cells. Translation became progressively more important in androgen-independent LNCaP cells. Further analysis suggested a positive synergy between the MAPK and Akt signaling axes and the translation of key proliferative markers like cyclin D in androgen-independent cells. Taken together, the results support the targeting of both the Akt and MAPK

  5. Cigarette Smoking and Risk of Lung Cancer in Korean Men: The Seoul Male Cancer Cohort Study

    OpenAIRE

    Bae, Jong-Myon; Lee, Moo-Song; Shin, Myung-Hee; Kim, Dong-Hyun; Li, Zhong-Min; Ahn, Yoon-Ok

    2007-01-01

    Lung cancer is the leading cause of cancer deaths in Korea. The aim of this study was to estimate lung cancer risk of cigarette smoking in Korean men by a 10-yr follow-up prospective cohort study using the primary databases. The number of subjects was 14,272 men, who had full information of smoking habits among participants in the Seoul Male Cancer Cohort Study (SMCC). Total 125,053 person-years were calculated by determining the number of days from the start of follow-up, January 1, 1993, un...

  6. Patterns of care for radiotherapy in vulvar cancer: a Gynecologic Cancer Intergroup study

    DEFF Research Database (Denmark)

    Gaffney, David K; Du Bois, Andreas; Narayan, Kailash;

    2009-01-01

    BACKGROUND: This study aimed to describe radiotherapeutic practice in the treatment of vulvar cancer in member study groups of the Gynecologic Cancer Intergroup (GCIG). METHODS: A survey was developed and distributed to representatives of the member study groups of the GCIG, targeting the use of...... radiotherapy (RT) in vulvar cancer. RESULTS: Thirty-two surveys were returned from 12 different cooperative groups. The most common indications for neoadjuvant RT include unresectable disease or International Federation of Gynecology and Obstetrics stage >/=III. For the neoadjuvant treatment of vulvar cancer...

  7. Neoadjuvant chemotherapy in advanced epithelial ovarian cancer: A survival study

    OpenAIRE

    Upasana Baruah; Debabrata Barmon; Amal Chandra Kataki; Pankaj Deka; Munlima Hazarika; Bhargab J Saikia

    2015-01-01

    Context: Patients with advanced ovarian cancer have a poor prognosis in spite of the best possible care. Primary debulking surgery has been the standard of care in advanced ovarian cancer; however, it is associated with high mortality and morbidity rates as shown in various studies. Several studies have discussed the benefit of neoadjuvant chemotherapy in patients with advanced ovarian cancer. Aims: This study aims to evaluate the survival statistics of the patients who have been managed with...

  8. UNDERSTANDING THE BREAST CANCER EXPERIENCE OF WOMEN: A QUALITATIVE STUDY OF AFRICAN AMERICAN, ASIAN AMERICAN, LATINA AND CAUCASIAN CANCER SURVIVORS

    OpenAIRE

    Ashing-Giwa, Kimlin Tam; PADILLA, GERALDINE; TEJERO, JUDITH; KRAEMER, JANET; Wright, Karen; Coscarelli, Anne; Clayton, Sheila; WILLIAMS, IMANI; HILLS, DAWN

    2004-01-01

    Breast cancer is the most common form of cancer in American women across most ethnic groups. Although the psychosocial impact of breast cancer is being studied, there is little information on women from diverse ethnic and socioeconomic backgrounds.

  9. Occupational asbestos exposure and risk of pleural mesothelioma, lung cancer, and laryngeal cancer in the prospective netherlands cohort study

    NARCIS (Netherlands)

    Offermans, N.S.M.; Vermeulen, R.; Burdorf, A.; Goldbohm, R.A.; Kauppinen, T.; Kromhout, H.; Brandt, P.A. van den

    2014-01-01

    OBJECTIVE:: To study the association between occupational asbestos exposure and pleural mesothelioma, lung cancer, and laryngeal cancer, specifically addressing risk associated with the lower end of the exposure distribution, risk of cancer subtypes, and the interaction between asbestos and smoking.

  10. AHNS Series: Do you know your guidelines?Principles of radiation therapy for head and neck cancer: A review of the National Comprehensive Cancer Network guidelines.

    Science.gov (United States)

    Gooi, Zhen; Fakhry, Carole; Goldenberg, David; Richmon, Jeremy; Kiess, Ana P

    2016-07-01

    This article is a continuation of the "Do You Know Your Guidelines" series, an initiative of the American Head and Neck Society's Education Committee to increase awareness of current best practices pertaining to head and neck cancer. The National Comprehensive Cancer Network guidelines for radiotherapy in the treatment for head and neck cancers are reviewed here in a systematic fashion according to site and stage. These guidelines outline indications for primary and adjuvant treatment, as well as general principles of radiotherapy. © 2016 Wiley Periodicals, Inc. Head Neck 38: 987-992, 2016. PMID:27015108

  11. Endometrial Cancer Incidence in Breast Cancer Patients Correlating with Age and Duration of Tamoxifen Use: a Population Based Study

    OpenAIRE

    Chen, Ju-Yin; Kuo, Shou-Jen; Liaw, Yung-Po; AVITAL, ITZHAK; Stojadinovic, Alexander; Man, Yan-gao; Mannion, Ciaran; Wang, Jianlian; Chou, Ming-Chih; Tsai, Horng-Der; Chen, Shou-Tung; Hsiao, Yi-Hsuan

    2014-01-01

    Background: Our study aimed to assess the endometrial cancer risk after tamoxifen adjuvant treatment for female breast cancer patients in Taiwan. Materials and Methods: A total of 74,280 breast cancer patients between January 1997 and December 2004 were included in the study; 39,411 received tamoxifen treatment and 34,869 did not. Tamoxifen-associated endometrial cancer was defined as endometrial cancer that occurred in patients at least 6-month after the diagnosis of breast cancer, who under...

  12. Screening study on new tumor marker periplakin for lung cancer

    Institute of Scientific and Technical Information of China (English)

    Shuqin Dai; Wei Li; Mian Kong; Yuzhen Zheng; Shuying Chen; Junye Wang; Linquan Zang

    2013-01-01

    Objective: The aim of this study was to use lung cancer targeting binding polypeptide ZS-9 to screen cDNA library of human lung cancer and obtain ZS-9 specific ligand to confirm tumor marker of non small-cell lung cancer. Methods: Artificially synthesize biotin labeled peptide ZS-9, anchored ZS-9 in the enzyme label plate coupled by avidin, used ZS-9 as probe to screen cDNA library of human lung cancer, after screening, obtained bacteriophage clone specifically binding with anchored polypeptide ZS-9. Extracted plasmid of bacteriophage and performed sequencing after amplified by PCR. Results: It was demonstrated by bioinformatic analysis on the sequence of ligand binded by lung cancer specific peptide ZS-9 that the ligand was the cytoskeletal protein periplakin on the surface of lung cancer cells, suggesting that periplakin might be a new marker for non-small-cell lung cancer in lung cancer. Conclusion: Use specific lung cancer binding peptide to screen new tumor marker periplakin in lung cancer and further studies on its biologic functions in genesis and development of lung cancer are still needed.

  13. An Implementation Study to Improve Cancer Pain Management in Jordan Using a Case Study

    OpenAIRE

    Al Qadire, Mohammad

    2011-01-01

    An Implementation Study to Improve Cancer Pain Management in Jordan using a Case StudyManaging the symptoms of cancer effectively is one of the most important challenges facing health care providers. Many symptoms are reported by cancer patients, including, pain, depression, distress and change in life style. Pain continues to be the most frequently reported symptom, however, cancer pain is treated inadequately and cancer patients continue to suffer pain. The use of pain assessment tools is e...

  14. Discovering biomarkers from gene expression data for predicting cancer subgroups using neural networks and relational fuzzy clustering

    Directory of Open Access Journals (Sweden)

    Sharma Animesh

    2007-01-01

    Full Text Available Abstract Background The four heterogeneous childhood cancers, neuroblastoma, non-Hodgkin lymphoma, rhabdomyosarcoma, and Ewing sarcoma present a similar histology of small round blue cell tumor (SRBCT and thus often leads to misdiagnosis. Identification of biomarkers for distinguishing these cancers is a well studied problem. Existing methods typically evaluate each gene separately and do not take into account the nonlinear interaction between genes and the tools that are used to design the diagnostic prediction system. Consequently, more genes are usually identified as necessary for prediction. We propose a general scheme for finding a small set of biomarkers to design a diagnostic system for accurate classification of the cancer subgroups. We use multilayer networks with online gene selection ability and relational fuzzy clustering to identify a small set of biomarkers for accurate classification of the training and blind test cases of a well studied data set. Results Our method discerned just seven biomarkers that precisely categorized the four subgroups of cancer both in training and blind samples. For the same problem, others suggested 19–94 genes. These seven biomarkers include three novel genes (NAB2, LSP1 and EHD1 – not identified by others with distinct class-specific signatures and important role in cancer biology, including cellular proliferation, transendothelial migration and trafficking of MHC class antigens. Interestingly, NAB2 is downregulated in other tumors including Non-Hodgkin lymphoma and Neuroblastoma but we observed moderate to high upregulation in a few cases of Ewing sarcoma and Rabhdomyosarcoma, suggesting that NAB2 might be mutated in these tumors. These genes can discover the subgroups correctly with unsupervised learning, can differentiate non-SRBCT samples and they perform equally well with other machine learning tools including support vector machines. These biomarkers lead to four simple human interpretable

  15. Language networks in children: Evidence from functional MRI studies

    OpenAIRE

    Vannest, Jennifer; Karunanayaka, Prasanna R.; Schmithorst, Vincent J.; Szaflarski, Jerzy P; Holland, Scott K.

    2009-01-01

    We review functional MRI and other neuroimaging studies of language skills in children from infancy to adulthood. These studies show developmental changes in the networks of brain regions supporting language, which can be affected by brain injuries or neurological disorders. Particular aspects of language rely on networks that lateralize to the dominant hemisphere; others rely on bilateral or non-dominant mechanisms. Multiple fMRI tasks for pediatric patients characterize functional brain reo...

  16. Analytical and experimental study on complex compressed air pipe network

    Science.gov (United States)

    Gai, Yushou; Cai, Maolin; Shi, Yan

    2015-09-01

    To analyze the working characteristics of complex compressed air networks, numerical methods are widely used which are based on finite element technology or intelligent algorithms. However, the effectiveness of the numerical methods is limited. In this paper, to provide a new method to optimize the design and the air supply strategy of the complex compressed air pipe network, firstly, a novel method to analyze the topology structure of the compressed air flow in the pipe network is initially proposed. A matrix is used to describe the topology structure of the compressed air flow. Moreover, based on the analysis of the pressure loss of the pipe network, the relationship between the pressure and the flow of the compressed air is derived, and a prediction method of pressure fluctuation and air flow in a segment in a complex pipe network is proposed. Finally, to inspect the effectiveness of the method, an experiment with a complex network is designed. The pressure and the flow of airflow in the network are measured and studied. The results of the study show that, the predicted results with the proposed method have a good consistency with the experimental results, and that verifies the air flow prediction method of the complex pipe network. This research proposes a new method to analyze the compressed air network and a prediction method of pressure fluctuation and air flow in a segment, which can predicate the fluctuation of the pressure according to the flow of compressed air, and predicate the fluctuation of the flow according to the pressure in a segment of a complex pipe network.

  17. The Lymphedema and Gynecologic Cancer (LEG) Study: Incidence, Risk Factors, and | Division of Cancer Prevention

    Science.gov (United States)

    DESCRIPTION (provided by applicant): The proposed study, "Lymphedema and Gynecologic cancer (LEG): Incidence, Risk Factors and Impact", will innovatively utilize the cooperative group setting of the GOG (Gynecologic Oncology Group) to prospectively study 1300 women newly diagnosed with cervical, endometrial, or vulvar cancer to determine the incidence and impact of lower extremity lymphedema following surgical treatment of these diseases. |

  18. Gamma-Glutamyltransferase and Cancer Incidence: The Ohsaki Cohort Study

    OpenAIRE

    Tsuboya, Toru; Kuriyama, Shinichi; Nagai, Masato; Hozawa, Atsushi; Sugawara, Yumi; Tomata, Yasutake; Kakizaki, Masako; Nishino, Yoshikazu; Tsuji, Ichiro

    2012-01-01

    Background Although experimental studies have shown that gamma-glutamyltransferase (GGT) has a role in tumor progression, epidemiologic evidence for a relationship between GGT and cancer incidence is limited. The present study investigated the association between GGT and cancer incidence and assessed the role of alcohol consumption in this association. Methods We examined a cohort of 15 031 Japanese adults aged 40 to 79 years who attended a health checkup in 1995 and were free of cancer at th...

  19. Endometriosis and breast cancer: A survey of the epidemiological studies

    OpenAIRE

    PONTIKAKI, A.; SIFAKIS, S.; Spandidos, D. A.

    2015-01-01

    Endometriosis is a chronic gynecological disease with a wide spectrum of clinical manifestations that affects approximately 10% of women of reproductive age. Recent reviews have demonstrated the connection between endometriosis and breast cancer, which represents the most frequently diagnosed female cancer and the most common cause of cancer-related mortality among women worldwide. The aim of this study was to conduct a survey of available published epidemiological studies indicating the asso...

  20. Thrombosis in ovarian cancer: a case control study

    OpenAIRE

    Metcalf, R L; Fry, D J; Swindell, R.; McGurk, A; Clamp, A R; Jayson, G C; Hasan, J

    2014-01-01

    Background: Thrombotic events are common in cancer patients and have been associated with an adverse prognosis in large registry-based studies. Methods: A retrospective cohort of 417 patients with ovarian cancer treated at a tertiary cancer centre between 2006 and 2009 was studied to identify the incidence and risk factors for thrombotic events and the prognostic impact of thrombosis. Patient outcomes were evaluated against a matched control group without thrombosis. Results: Ninety-nine thro...

  1. Inter-organizational network studies - a literature review

    DEFF Research Database (Denmark)

    Bergenholtz, Carsten; Waldstrøm, Christian

    theories used within the field of inter-organizational networks originate from research in inter-personal and/or intra-organizational networks where some of the methodological issues (e.g. unit of analysis and boundary specification) are more easily solved. This paper consists of a large-scale systematic......The vast body of studies on inter-organizational networks suffers from a number of conceptual and methodological gaps which render some of the studies incompatible and hinder a greater understanding and coherence of the field. Part of the problem is that quite a number of the concepts, methods and...... literature review of the last 12 years' research on inter-organizational networks, with a focus on the methodological aspects. The findings of this paper is that few of the previous studies have used the full methodological (and thus theoretical) scope of the available data and that the most cited papers and...

  2. Network Meta-Analysis of the Effectiveness of Neoadjuvant Endocrine Therapy for Postmenopausal, HR-Positive Breast Cancer.

    Science.gov (United States)

    Wang, Wei; Liu, Chenghao; Zhou, Wenbin; Xia, Tiansong; Xie, Hui; Wang, Shui

    2016-01-01

    In clinical practice, it is necessary to define an optimal choice from many different therapeutic regimens. This study aimed to assess the efficacy and safety of neoadjuvant endocrine therapy (NET) for breast cancer patients. Randomized clinical trials were included. Nine studies comprising 2133 patients were included in the final analysis. Network meta-analysis showed that everolimus plus letrozole was more easily accepted by patients than exemestane (≥20wks) (odds ratio (OR): 856697.02, 95% confidence intervals (95%CI): 1.88 to 87242934...); exemestane (≥20wks) had worse acceptability than letrozole (OR: 0.00, 95%CI: 0.00 to 0.98). Letrozole produced a better clinical objective response (COR) than tamoxifen (OR: 1.99, 95%CI: 1.04 to 3.80). The incidence of fatigue between the anastrozole plus gefitinib group and the everolimus plus letrozole group was significantly different (OR: 0.08, 95%CI: 0.01 to 0.83). The exemestane (multi-criteria acceptability analysis. In conclusion, our study showed that letrozole plus everolimus is the most effective treatment for postmenopausal, hormone receptor-positive breast cancer in the neoadjuvant setting. PMID:27174543

  3. Comparison of hospital charge prediction models for gastric cancer patients: neural network vs. decision tree models

    Directory of Open Access Journals (Sweden)

    Hu Yun-tao

    2009-09-01

    Full Text Available Abstract Background In recent years, artificial neural network is advocated in modeling complex multivariable relationships due to its ability of fault tolerance; while decision tree of data mining technique was recommended because of its richness of classification arithmetic rules and appeal of visibility. The aim of our research was to compare the performance of ANN and decision tree models in predicting hospital charges on gastric cancer patients. Methods Data about hospital charges on 1008 gastric cancer patients and related demographic information were collected from the First Affiliated Hospital of Anhui Medical University from 2005 to 2007 and preprocessed firstly to select pertinent input variables. Then artificial neural network (ANN and decision tree models, using same hospital charge output variable and same input variables, were applied to compare the predictive abilities in terms of mean absolute errors and linear correlation coefficients for the training and test datasets. The transfer function in ANN model was sigmoid with 1 hidden layer and three hidden nodes. Results After preprocess of the data, 12 variables were selected and used as input variables in two types of models. For both the training dataset and the test dataset, mean absolute errors of ANN model were lower than those of decision tree model (1819.197 vs. 2782.423, 1162.279 vs. 3424.608 and linear correlation coefficients of the former model were higher than those of the latter (0.955 vs. 0.866, 0.987 vs. 0.806. The predictive ability and adaptive capacity of ANN model were better than those of decision tree model. Conclusion ANN model performed better in predicting hospital charges of gastric cancer patients of China than did decision tree model.

  4. Network organization in research and medicare of refractory cancers in Chiba prefecture

    International Nuclear Information System (INIS)

    Ministry of Health, Labour and Welfare (MHLW) specified for Chiba Cancer Center (CCC) to be one of base hospitals for cooperative medicare of cancers in Japanese prefectures in 2006. Even before and after that, National Institute of Radiological Sciences (NIRS) and CCC had worked together without the official agreement, but they made the arrangement with the organization in the title to cooperate and promote the research and medicare of refractory cancers in Chiba Prefecture on October 27, 2009. This paper is a record of the 1st joint symposium (Mar. 13, 2010) of the two facilities, open to the public, describing the mutual introduction of them, genome studies, and treatment of refractory cancers of brain, lungs and pancreas conducted hitherto. Documents actually concerns: the introduction of NIRS including its division of the Res. Center for Charged Particle Therapy with Heavy Ion Medical Accelerator in Chiba (HIMAC), its Hospital, Molecular Imaging Center, Res. Center for Radiation Protection and for Radiation Emergency Medicine, and Fundamental Technology Center; introduction of CCC including its routine clinical practice, palliative medicare, basic and clinical researches, and works as the base hospital; NIRS basic researches for the heavy ion therapy (approach from the genomic science and development of risk assessment with use of genome information); treatment outcome of glioblastoma (GBM) by intensity modified radiotherapy (IMRT) in CCC; NIRS heavy ion (C ion) therapy for malignant glioma; and surgical outcomes of lung and pancreatic cancers in CCC and heavy ion therapy for the cancers in NIRS. (T.T.)

  5. Personal and Network Dynamics in Performance of Knowledge Workers: A Study of Australian Breast Radiologists.

    Directory of Open Access Journals (Sweden)

    Seyedamir Tavakoli Taba

    Full Text Available In this paper, we propose a theoretical model based upon previous studies about personal and social network dynamics of job performance. We provide empirical support for this model using real-world data within the context of the Australian radiology profession. An examination of radiologists' professional network topology through structural-positional and relational dimensions and radiologists' personal characteristics in terms of knowledge, experience and self-esteem is provided. Thirty one breast imaging radiologists completed a purpose designed questionnaire regarding their network characteristics and personal attributes. These radiologists also independently read a test set of 60 mammographic cases: 20 cases with cancer and 40 normal cases. A Jackknife free response operating characteristic (JAFROC method was used to measure the performance of the radiologists' in detecting breast cancers.Correlational analyses showed that reader performance was positively correlated with the social network variables of degree centrality and effective size, but negatively correlated with constraint and hierarchy. For personal characteristics, the number of mammograms read per year and self-esteem (self-evaluation positively correlated with reader performance. Hierarchical multiple regression analysis indicated that the combination of number of mammograms read per year and network's effective size, hierarchy and tie strength was the best fitting model, explaining 63.4% of the variance in reader performance. The results from this study indicate the positive relationship between reading high volumes of cases by radiologists and expertise development, but also strongly emphasise the association between effective social/professional interactions and informal knowledge sharing with high performance.

  6. Prioritizing cancer-related genes with aberrant methylation based on a weighted protein-protein interaction network

    Directory of Open Access Journals (Sweden)

    Lv Jie

    2011-10-01

    Full Text Available Abstract Background As an important epigenetic modification, DNA methylation plays a crucial role in the development of mammals and in the occurrence of complex diseases. Genes that interact directly or indirectly may have the same or similar functions in the biological processes in which they are involved and together contribute to the related disease phenotypes. The complicated relations between genes can be clearly represented using network theory. A protein-protein interaction (PPI network offers a platform from which to systematically identify disease-related genes from the relations between genes with similar functions. Results We constructed a weighted human PPI network (WHPN using DNA methylation correlations based on human protein-protein interactions. WHPN represents the relationships of DNA methylation levels in gene pairs for four cancer types. A cancer-associated subnetwork (CASN was obtained from WHPN by selecting genes associated with seed genes which were known to be methylated in the four cancers. We found that CASN had a more densely connected network community than WHPN, indicating that the genes in CASN were much closer to seed genes. We prioritized 154 potential cancer-related genes with aberrant methylation in CASN by neighborhood-weighting decision rule. A function enrichment analysis for GO and KEGG indicated that the optimized genes were mainly involved in the biological processes of regulating cell apoptosis and programmed cell death. An analysis of expression profiling data revealed that many of the optimized genes were expressed differentially in the four cancers. By examining the PubMed co-citations, we found 43 optimized genes were related with cancers and aberrant methylation, and 10 genes were validated to be methylated aberrantly in cancers. Of 154 optimized genes, 27 were as diagnostic markers and 20 as prognostic markers previously identified in literature for cancers and other complex diseases by searching Pub

  7. Evolution of Coordination in Social Networks: A Numerical Study

    CERN Document Server

    Tomassini, Marco

    2010-01-01

    Coordination games are important to explain efficient and desirable social behavior. Here we study these games by extensive numerical simulation on networked social structures using an evolutionary approach. We show that local network effects may promote selection of efficient equilibria in both pure and general coordination games and may explain social polarization. These results are put into perspective with respect to known theoretical results. The main insight we obtain is that clustering, and especially community structure in social networks has a positive role in promoting socially efficient outcomes.

  8. From sand to networks: a study of multi-disciplinarity

    CERN Document Server

    Lambiotte, R

    2005-01-01

    In this paper, we study empirically co-authorship networks of neighbouring scientific disciplines, and describe the system by two coupled networks. By considering a large time window, we focus on the properties of the interface between the disciplines. We also focus on the time evolution of the co-authorship network, and highlight a rich phenomenology including first order transition and cluster bouncing and merging. Finally, we present a ferro- electric-like model (CDIM), involving bond redistribution between the nodes, that reproduces qualitatively the structuring of the system in homogeneous phases

  9. Risk of cancer after blood transfusion from donors with subclinical cancer: a retrospective cohort study

    DEFF Research Database (Denmark)

    Edgren, Gustaf; Hjalgrim, Henrik; Reilly, Marie;

    2007-01-01

    transmission from blood donors to recipients through blood transfusion. METHODS: We did a register-based retrospective cohort study of cancer incidence among patients who received blood from donors deemed to have a subclinical cancer at the time of donation. These precancerous donors were diagnosed with a...... cancer within 5 years of the donation. Data from all computerised blood bank registers in Sweden and Denmark gathered between 1968 and 2002 were merged into a common database. Demographic and medical data, including mortality and cancer incidence, were ascertained through linkages with nationwide, and......BACKGROUND: Although mechanisms for detection of short-term complications after blood transfusions are well developed, complications with delayed onset, notably transmission of chronic diseases such as cancer, have been difficult to assess. Our aim was to investigate the possible risk of cancer...

  10. Analyzing collaboration networks and developmental patterns of nano-enabled drug delivery (NEDD) for brain cancer.

    Science.gov (United States)

    Huang, Ying; Ma, Jing; Porter, Alan L; Kwon, Seokbeom; Zhu, Donghua

    2015-01-01

    The rapid development of new and emerging science & technologies (NESTs) brings unprecedented challenges, but also opportunities. In this paper, we use bibliometric and social network analyses, at country, institution, and individual levels, to explore the patterns of scientific networking for a key nano area - nano-enabled drug delivery (NEDD). NEDD has successfully been used clinically to modulate drug release and to target particular diseased tissues. The data for this research come from a global compilation of research publication information on NEDD directed at brain cancer. We derive a family of indicators that address multiple facets of research collaboration and knowledge transfer patterns. Results show that: (1) international cooperation is increasing, but networking characteristics change over time; (2) highly productive institutions also lead in influence, as measured by citation to their work, with American institutes leading; (3) research collaboration is dominated by local relationships, with interesting information available from authorship patterns that go well beyond journal impact factors. Results offer useful technical intelligence to help researchers identify potential collaborators and to help inform R&D management and science & innovation policy for such nanotechnologies. PMID:26425417

  11. Analyzing collaboration networks and developmental patterns of nano-enabled drug delivery (NEDD for brain cancer

    Directory of Open Access Journals (Sweden)

    Ying Huang

    2015-07-01

    Full Text Available The rapid development of new and emerging science & technologies (NESTs brings unprecedented challenges, but also opportunities. In this paper, we use bibliometric and social network analyses, at country, institution, and individual levels, to explore the patterns of scientific networking for a key nano area – nano-enabled drug delivery (NEDD. NEDD has successfully been used clinically to modulate drug release and to target particular diseased tissues. The data for this research come from a global compilation of research publication information on NEDD directed at brain cancer. We derive a family of indicators that address multiple facets of research collaboration and knowledge transfer patterns. Results show that: (1 international cooperation is increasing, but networking characteristics change over time; (2 highly productive institutions also lead in influence, as measured by citation to their work, with American institutes leading; (3 research collaboration is dominated by local relationships, with interesting information available from authorship patterns that go well beyond journal impact factors. Results offer useful technical intelligence to help researchers identify potential collaborators and to help inform R&D management and science & innovation policy for such nanotechnologies.

  12. Trends in lung cancer incidence and survival: studies based on cancer registries

    OpenAIRE

    Janssen-Heijnen, Maryska

    1998-01-01

    textabstractIn this thesis trends in the incidence and survival of patients with lung cancer since 1960 in the southeastern part of the Netherlands are described and interpreted. These trends may provide an insight into changes in mortality due to lung cancer in a region with the oldest cancer registlY in the Netherlands. Chapter 1.2 contains a review of literature on trends in the incidence and survival of lung cancer. The methods used for the studies of this thesis are described in chapter ...

  13. Studying Policy Transfer through the Lens of Social Network Analysis

    DEFF Research Database (Denmark)

    Staunæs, Dorthe; Brøgger, Katja; Steiner-Khamsi, Gita;

    Studying Policy Transfer through the Lens of Social Network Analysis The panelists present the findings of a joint empirical research project carried out at Aarhus University (DPU/Copenhagen) and at Teachers College, Columbia University (New York). The research project succeeded to identify...... discursive networks of political stakeholders and policy advisors that were considered key actors in the Danish school reform. The research team investigated how these networks interrelate, change over time, and represent different constituents (government, academe, business), at times contradicting or...... collaborating with each other, respectively. Against the backdrop of globalization studies in comparative education, the research project attempted to identify borrowers, translators, and brokers of educational reform drawing on a complementary set of expertise from social network analysis methodology (Oren...

  14. PESTICIDES AND LUNG CANCER RISK IN THE AGRICULTURAL HEALTH STUDY

    Science.gov (United States)

    We examined the relationship between 50 widely used agricultural pesticides and lung cancer incidence in the Agricultural Health Study, a prospective cohort study of 57,284 pesticide applicators, and 32,333 spouses of farmer applicators with no prior history of lung cancer. Self...

  15. Study examines outcomes from surgery to prevent ovarian cancer

    Science.gov (United States)

    A new study looked at women at high risk of ovarian cancer who had no clinical signs of the disease and who underwent risk-reducing salpingo-oophorectomy (RRSO). The study results showed cancer in the removed tissues of 2.6 percent (25 of 966) of the par

  16. Alcohol intake and cigarette smoking and risk of a contralateral breast cancer: The Women's Environmental Cancer and Radiation Epidemiology Study

    DEFF Research Database (Denmark)

    Knight, J.A.; Bernstein, L.; Largent, J.;

    2009-01-01

    Women with primary breast cancer are at increased risk of developing second primary breast cancer. Few studies have evaluated risk factors for the development of asynchronous contralateral breast cancer in women with breast cancer. In the Women's Environmental Cancer and Radiation Epidemiology...... asynchronous contralateral breast cancer. In this, the largest study of asynchronous contralateral breast cancer to date, alcohol is a risk factor for the disease, as it is for a first primary breast cancer Udgivelsesdato: 2009/4/15...... Study (1985-2001), the roles of alcohol and smoking were examined in 708 women with asynchronous contralateral breast cancer (cases) compared with 1,399 women with unilateral breast cancer (controls). Cases and controls aged less than 55 years at first breast cancer diagnosis were identified from 5...

  17. Social networks and reception studies on the internet

    OpenAIRE

    Denise Cogo; Liliane Dutra Brignol

    2011-01-01

    In this article we propose an itinerary for thinking about social networks as environments and the search for placing its incidences in reception studies on internet. We start from the understanding that the role developed by social networks in the organization of contemporaneous relations brings consequences for the configuration and uses of media, highlighting the internet. This demands a reconfiguration of the perspective on reception processes. In this text we discuss conceptual concepts ...

  18. Truthy: Enabling the Study of Online Social Networks

    OpenAIRE

    McKelvey, Karissa; Menczer, Fil

    2012-01-01

    The broad adoption of online social networking platforms has made it possible to study communication networks at an unprecedented scale. Digital trace data can be compiled into large data sets of online discourse. However, it is a challenge to collect, store, filter, and analyze large amounts of data, even by experts in the computational sciences. Here we describe our recent extensions to Truthy, a system that collects Twitter data to analyze discourse in near real-time. We introduce several ...

  19. A Case Study on Ubiquitous Social Networking: Fusion Mobile

    OpenAIRE

    Visanen, Kristine

    2009-01-01

    This thesis deals with the challenges and opportunities inherent in building a prototype capable of supporting ubiquitous social networking applications on mobile devices. The challenges in the design of mobile application are investigated through a case study that develops a prototype, Fusion Mobile, which is an application for mobile social networking and media sharing. This research is carried out within the context of an ongoing research project P2P-FUSION, which addresses current diff...

  20. Security for Future Networks : a Prospective Study of AAIs

    OpenAIRE

    Aissaoui, Hassane; URIEN, Pascal; Pujolle, Guy; Joni Da Silva, Fraga; Davi Da Silva, Böger

    2013-01-01

    The future Internet will rely heavily on virtualization and cloud networking. The project Security for Future Networks proposes the design of a framework providing secure identification and authentication, secure data transfer and secure virtualized infrastructure. In this paper, we present a comparative study should examine some models and frameworks of Identity Management (IdM). Initially, we had identified OpenID, Higgins and Shibboleth frameworks as those providing facilities that are the...

  1. Numerical study on the perception-based network formation model

    CERN Document Server

    Jo, Hang-Hyun

    2015-01-01

    In order to understand the evolution of social networks in terms of perception-based strategic link formation, we numerically study a perception-based network formation model. Here each individual is assumed to have his/her own perception of the actual network, and use it to decide whether to create a link to other individual. An individual with the least perception accuracy can benefit from updating his/her perception using that of the most accurate individual via a new link. This benefit is compared to the cost of linking in decision making. Once a new link is created, it affects the accuracies of other individuals' perceptions, leading to a further evolution of the actual network. The initial actual network and initial perceptions are modeled by Erd\\H{o}s-R\\'enyi random networks but with different linking probabilities. Then the stable link density of the actual network is found to show discontinuous transitions or jumps according to the cost of linking. The effect of initial conditions on the complexity o...

  2. Epidemiologic studies of the human microbiome and cancer

    OpenAIRE

    Vogtmann, Emily; Goedert, James J.

    2016-01-01

    The human microbiome, which includes the collective genome of all bacteria, archaea, fungi, protists, and viruses found in and on the human body, is altered in many diseases and may substantially affect cancer risk. Previously detected associations of individual bacteria (e.g., Helicobacter pylori), periodontal disease, and inflammation with specific cancers have motivated studies considering the association between the human microbiome and cancer risk. This short review summarises microbiome...

  3. Lung Cancer Mortality and Topography: A Xuanwei Case Study

    OpenAIRE

    Hongyan Ren; Wei Cao; Gongbo Chen; Junxing Yang; Liqun Liu; Xia Wan; Gonghuan Yang

    2016-01-01

    The epidemic of lung cancer in Xuanwei City, China, remains serious despite the reduction of the risk of indoor air pollution through citywide stove improvement. The main objective of this study was to characterize the influences of topography on the spatiotemporal variations of lung cancer mortality in Xuanwei during 1990–2013. Using the spatially empirical Bayes method, the smoothed mortality rate of lung cancer was obtained according to the mortality data and population data collected from...

  4. The hamster cheek pouch model for field cancerization studies.

    Science.gov (United States)

    Monti-Hughes, Andrea; Aromando, Romina F; Pérez, Miguel A; Schwint, Amanda E; Itoiz, Maria E

    2015-02-01

    External carcinogens, such as tobacco and alcohol, induce molecular changes in large areas of oral mucosa, which increase the risk of malignant transformation. This condition, known as 'field cancerization', can be detected in biopsy specimens using histochemical techniques, even before histological alterations are identified. The efficacy of these histochemical techniques as biomarkers of early cancerization must be demonstrated in appropriate models. The hamster cheek pouch oral cancer model, universally employed in biological studies and in studies for the prevention and treatment of oral cancer, is also an excellent model of field cancerization. The carcinogen is applied in solution to the surface of the mucosa and induces alterations that recapitulate the stages of cancerization in human oral mucosa. We have demonstrated that the following can be used for the early detection of cancerized tissue: silver staining of nucleolar organizer regions; the Feulgen reaction to stain DNA followed by ploidy analysis; immunohistochemical analysis of fibroblast growth factor-2, immunohistochemical labeling of proliferating cells to demonstrate an increase of epithelial cell proliferation in the absence of inflammation; and changes in markers of angiogenesis (i.e. those indicating vascular endothelial growth factor activity, endothelial cell proliferation and vascular density). The hamster cheek pouch model of oral cancer was also proposed and validated by our group for boron neutron capture therapy studies for the treatment of oral cancer. Clinical trials of this novel treatment modality have been performed and are underway for certain tumor types and localizations. Having demonstrated the efficacy of boron neutron capture therapy to control tumors in the hamster cheek pouch oral cancer model, we adapted the model for the long-term study of field cancerized tissue. We demonstrated the inhibitory effect of boron neutron capture therapy on tumor development in field

  5. Dietary fat, cholesterol and colorectal cancer in a prospective study

    OpenAIRE

    Järvinen, R.; Knekt, P; Hakulinen, T; Rissanen, H; Heliövaara, M

    2001-01-01

    The relationships between consumption of total fat, major dietary fatty acids, cholesterol, consumption of meat and eggs, and the incidence of colorectal cancers were studied in a cohort based on the Finnish Mobile Clinic Health Examination Survey. Baseline (1967–1972) information on habitual food consumption over the preceding year was collected from 9959 men and women free of diagnosed cancer. A total of 109 new colorectal cancer cases were ascertained late 1999. High cholesterol intake was...

  6. Study of breast cancer incidence in patients of lymphangioleiomyomatosis

    OpenAIRE

    Nuñez, Olivier; Román, Antonio; Johnson, Simon R.; Inoue, Yoshikazu; Hirose, Masaki; Casanova, Álvaro; de Garibay, Gorka Ruiz; Herranz, Carmen; Bueno-Moreno, Gema; Boni, Jacopo; Mateo, Francesca; Petit, Anna; Climent, Fina; Soler, Teresa; Vidal, August

    2016-01-01

    Molecular evidence has linked the pathophysiology of lymphangioleiomyomatosis (LAM) to that of metastatic breast cancer. Following on this observation, we assessed the association between LAM and subsequent breast cancer. An epidemiological study was carried out using three LAM country cohorts, from Japan, Spain, and the United Kingdom. The number of incident breast cancer cases observed in these cohorts was compared with the number expected on the basis of the country-specific incidence rate...

  7. REPRODUCTIVE FACTORS AND COLORECTAL CANCER RISK. Case - control study.

    OpenAIRE

    Adriana Ruseva; Radka Lazarova; Ilko Kosturkov; Vesselina Ianachkova; Stella Yordanova; Zhivka Boneva; Diana Nikolovska

    2015-01-01

    Colorectal cancer is one of the most common cancers worldwide. The role of the female sex hormones in the etiology of the disease is very intriguing. Reproductive factors are surrogate measure of lifetime exposition to the sex hormones. Purpose: Our aim is to investigate the association between the reproductive factors and colorectal carcinoma risk. Materials and methods: We include 234 Bulgarian women in our study – 117 cases with colorectal cancer and the same number of healthy contr...

  8. Risk factors for ovarian cancer: a case-control study.

    OpenAIRE

    Booth, M.; Beral, V; SMITH, P.

    1989-01-01

    A hospital-based case-control study of ovarian cancer was conducted in London and Oxford between October 1978 and February 1983. Menstrual characteristics, reproductive and contraceptive history and history of exposure to various environmental factors were compared between 235 women with histologically diagnosed epithelial ovarian cancer and 451 controls. High gravidity, hysterectomy, female sterilisation and oral contraceptive use were associated with a reduced risk of ovarian cancer. Infert...

  9. Learning networks and moodle use in online courses: a social network analysis study

    OpenAIRE

    Fidalgo, Patrícia Seferlis Pereira

    2012-01-01

    Dissertação para obtenção do Grau de Doutor em Ciências da Educação Especialidade em Tecnologias, Redes e Multimédia na Educação e Formação This research presents a case study on the interactions between the participants of the forums of four online undergraduate courses from the perspective of social network analysis (SNA). Due to lack of studies on social networks in online learning environments in higher education in Portugal we have choose a qualitative structural analysis to addres...

  10. Radiation dosimetry for epidemiology lung cancer study

    International Nuclear Information System (INIS)

    Lung doses have been calculated for 999 workers whose primary exposure was to airborne uranium during the period 1943 to 1947. Internal dose calculations were needed because the major exposure potential was to airborne uranium and because no external monitoring data exists. The lung dose estimates process was divided into two phases: estimation of the uranium intake and calculation of the internal dose. The intake information required included the number of hours worked and the concentration, chemical and physical forms of uranium. These factors were determined through researching historical documents including plant process descriptions, personnel records, operations records, monitoring records, etc. Additional information was also gained through interviews of former plant workers. Job titles and department codes were used to relate uranium exposure conditions to a given individual. Lung doses were estimated using internal dose models developed by Oak Ridge National Laboratory. This system takes into account both particle size and solubility class. Results show that some workers may have received doses as high as 74 rads or 740 rems if a quality factor of 10 is used. The results of this study have been used in a lung cancer case control study to be reported at this conference

  11. Breast cancer survival studies in India: a review

    Directory of Open Access Journals (Sweden)

    Jignasa Sathwara

    2016-08-01

    Full Text Available Length of survival of cancer patients is an important indicator for knowing the outcome of treatment in any study. Epidemiological features and biological profile of breast cancer appear to be different in developing countries as compared to Western countries. Knowing the factors that influence survival rates among women with breast cancer may help define early detection actions, and improve treatment and care proposals in all the areas of health. Therefore, this study aims to identify, the publications defining the factors influencing survival for women with breast cancer in India. PUBMED database was searched from January 1990 to April 2016, using the key words Breast cancer, breast cancer outcome and Survival and their corresponding Mesh terms were used in combination with Boolean operators like OR, AND. Five year overall survival rate of breast cancer in India ranged from 40-62%. The results from 16 publications showed that survival of breast cancer varies widely depending on number of factors like age, stage at diagnosis, marital status, educational level, hormonal status, clinical extent of disease and treatment. The publications that make up this review present contributing factors that affect the survival rate of women with breast cancer in India. This information on survival studies can pinpoint the lacunae in treatment modalities and can guide us to do basic and translational research so the preventive strategies can be implemented. [Int J Res Med Sci 2016; 4(8.000: 3102-3108

  12. Study of co-authorship network of papers in the Journal of Research in Medical Sciences using social network analysis

    OpenAIRE

    Firoozeh Zare-Farashbandi; Ehsan Geraei; Saba Siamaki

    2014-01-01

    Background: Co-authorship is one of the most tangible forms of research collaboration. A co-authorship network is a social network in which the authors through participation in one or more publication through an indirect path have linked to each other. The present research using the social network analysis studied co-authorship network of 681 articles published in Journal of Research in Medical Sciences (JRMS) during 2008-2012. Materials and Methods: The study was carried out with the sciento...

  13. A NEURAL NETWORK STUDY ON GLASS TRANSITION TEMPERATURE OF POLYMERS

    Institute of Scientific and Technical Information of China (English)

    Lin-xi Zhanga; De-lu Zhao; You-xing Huang

    2002-01-01

    In this paper, an artificial neural network model is adopted to study the glass transition temperature of polymers. In our artificial neural networks, the input nodes are the characteristic ratio C∞, the average molecular weight M, between entanglement points and the molecular weight Mmon of repeating unit. The output node is the glass transition temperature Tg,and the number of the hidden layer is 6. We found that the artificial neural network simulations are accurate in predicting the outcome for polymers for which it is not trained. The maximum relative error for predicting of the glass transition temperature is 3.47%, and the overall average error is only 2.27%. Artificial neural networks may provide some new ideas to investigate other properties of the polymers.

  14. A STUDY OF SPAM DETECTION ALGORITHM ON SOCIAL MEDIA NETWORKS

    Directory of Open Access Journals (Sweden)

    Saini Jacob Soman

    2014-01-01

    Full Text Available In today’s world, the issue of identifying spammers has received increasing attention because of its practical relevance in the field of social network analysis. The growing popularity of social networking sites has made them prime targets for spammers. By allowing users to publicize and share their independently generated content, online social networks become susceptible to different types of malicious and opportunistic user actions. Social network community users are fed with irrelevant information while surfing, due to spammer’s activity. Spam pervades any information system such as e-mail or web, social, blog or reviews platform. Therefore, this study attempts to review various spam detection frameworks which deals about the detection and elimination of spams in various sources.

  15. Metabolic robustness and network modularity: a model study.

    Directory of Open Access Journals (Sweden)

    Petter Holme

    Full Text Available BACKGROUND: Several studies have mentioned network modularity-that a network can easily be decomposed into subgraphs that are densely connected within and weakly connected between each other-as a factor affecting metabolic robustness. In this paper we measure the relation between network modularity and several aspects of robustness directly in a model system of metabolism. METHODOLOGY/PRINCIPAL FINDINGS: By using a model for generating chemical reaction systems where one can tune the network modularity, we find that robustness increases with modularity for changes in the concentrations of metabolites, whereas it decreases with changes in the expression of enzymes. The same modularity scaling is true for the speed of relaxation after the perturbations. CONCLUSIONS/SIGNIFICANCE: Modularity is not a general principle for making metabolism either more or less robust; this question needs to be addressed specifically for different types of perturbations of the system.

  16. Study on optimization control method based on artificial neural network

    Institute of Scientific and Technical Information of China (English)

    FU Hua; SUN Shao-guang; XU Zhen-Iiang

    2005-01-01

    In the goal optimization and control optimization process the problems with common artificial neural network algorithm are unsure convergence, insufficient post-training network precision, and slow training speed, in which partial minimum value question tends to occur. This paper conducted an in-depth study on the causes of the limitations of the algorithm, presented a rapid artificial neural network algorithm, which is characterized by integrating multiple algorithms and by using their complementary advantages. The salient feature of the method is self-organization, which can effectively prevent the optimized results from tending to be partial minimum values. Overall optimization can be achieved with this method, goal function can be searched for in overall scope. With optimization control of coal mine ventilator as a practical application, the paper proves that by integrating multiple artificial neural network algorithms, best control optimization and goal optimized can be achieved.

  17. Water supply network district metering theory and case study

    CERN Document Server

    Di Nardo, Armando; Di Mauro, Anna

    2013-01-01

    The management of a water supply network can be substantially improved defining permanent sectors or districts that enhances simpler water loss detection and pressure management. However, the water network partitioning may compromise water system performance, since some pipes are usually closed to delimit districts in order not to have too many metering stations, to decrease costs and simplify water balance. This may reduce the reliability of the whole system and not guarantee the delivery of water at the different network nodes. In practical applications, the design of districts or sectors is generally based on empirical approaches or on limited field experiences. The book proposes a design support methodology, based on graph theory principles and tested on real case study. The described methodology can help water utilities, professionals and researchers to define the optimal districts or sectors of a water supply network.

  18. Study of apoptosis in human liver cancers

    Institute of Scientific and Technical Information of China (English)

    Chang-Min Shan; Juan Li

    2002-01-01

    AIM: To investigate the action of apoptosis in occurrence ofliver cacinornas in vivo and the biological effect of Solanumlyratum Thumb on BEL-7404 cell line inducing apoptosis invitro.METHODS: The apoptosis in the liver carcinoma wasdetected with terminal deoxynucl neotidyl transferasemediated dUTP nick end labelling (TUNEL); the cancer cellscultured in DMED medium were treated with extract ofSolanum lyratum Thumb and observed under microscope,and their DNA was assayed by gel electrophoresis.RESULTS: In vivo apoptotic cells in the cancer adjacenttissues inceased; in vitro treatment of liver cancers withextract of Solanum lyratum Thumb could induce the cells tomanifest a typical apoptotic morphology. Their DNA wasfractured and a characteristic ladder pattem could be foundusing electrophoresis.CONCLUSION: In vivo the apoptosis of carcinomas waslower; maybe the cells divided quickly and then the cancersoccurred. In the cancer adjacent tissues, the apoptosispricked up, and in vitro Solarium lyratum Thumb couldinduce the apoptosis of BEL-7404 cells.

  19. SU-E-T-206: Improving Radiotherapy Toxicity Based On Artificial Neural Network (ANN) for Head and Neck Cancer Patients

    International Nuclear Information System (INIS)

    Purpose/Objective(s): The aim of this study is to build the estimator of toxicity using artificial neural network (ANN) for head and neck cancer patients Materials/Methods: An ANN can combine variables into a predictive model during training and considered all possible correlations of variables. We constructed an ANN based on the data from 73 patients with advanced H and N cancer treated with external beam radiotherapy and/or chemotherapy at our institution. For the toxicity estimator we defined input data including age, sex, site, stage, pathology, status of chemo, technique of external beam radiation therapy (EBRT), length of treatment, dose of EBRT, status of post operation, length of follow-up, the status of local recurrences and distant metastasis. These data were digitized based on the significance and fed to the ANN as input nodes. We used 20 hidden nodes (for the 13 input nodes) to take care of the correlations of input nodes. For training ANN, we divided data into three subsets such as training set, validation set and test set. Finally, we built the estimator for the toxicity from ANN output. Results: We used 13 input variables including the status of local recurrences and distant metastasis and 20 hidden nodes for correlations. 59 patients for training set, 7 patients for validation set and 7 patients for test set and fed the inputs to Matlab neural network fitting tool. We trained the data within 15% of errors of outcome. In the end we have the toxicity estimation with 74% of accuracy. Conclusion: We proved in principle that ANN can be a very useful tool for predicting the RT outcomes for high risk H and N patients. Currently we are improving the results using cross validation

  20. SU-E-T-206: Improving Radiotherapy Toxicity Based On Artificial Neural Network (ANN) for Head and Neck Cancer Patients

    Energy Technology Data Exchange (ETDEWEB)

    Cho, Daniel D; Wernicke, A Gabriella; Nori, Dattatreyudu; Chao, KSC; Parashar, Bhupesh; Chang, Jenghwa [Weill Cornell Medical College, NY, NY (United States)

    2014-06-01

    Purpose/Objective(s): The aim of this study is to build the estimator of toxicity using artificial neural network (ANN) for head and neck cancer patients Materials/Methods: An ANN can combine variables into a predictive model during training and considered all possible correlations of variables. We constructed an ANN based on the data from 73 patients with advanced H and N cancer treated with external beam radiotherapy and/or chemotherapy at our institution. For the toxicity estimator we defined input data including age, sex, site, stage, pathology, status of chemo, technique of external beam radiation therapy (EBRT), length of treatment, dose of EBRT, status of post operation, length of follow-up, the status of local recurrences and distant metastasis. These data were digitized based on the significance and fed to the ANN as input nodes. We used 20 hidden nodes (for the 13 input nodes) to take care of the correlations of input nodes. For training ANN, we divided data into three subsets such as training set, validation set and test set. Finally, we built the estimator for the toxicity from ANN output. Results: We used 13 input variables including the status of local recurrences and distant metastasis and 20 hidden nodes for correlations. 59 patients for training set, 7 patients for validation set and 7 patients for test set and fed the inputs to Matlab neural network fitting tool. We trained the data within 15% of errors of outcome. In the end we have the toxicity estimation with 74% of accuracy. Conclusion: We proved in principle that ANN can be a very useful tool for predicting the RT outcomes for high risk H and N patients. Currently we are improving the results using cross validation.

  1. Comparative study between characteristics of the lung cancer, breast cancer and esophageal cancer distal bone metastases

    International Nuclear Information System (INIS)

    Objective: To compare the characteristics of the distribution of bone metastases in lung cancer, breast cancer and esophageal cancer. Methods: SPECT bone imaging of the entire body was performed after the injection of 99Tcm-methylene diphosphonate (99Tcm-MDP) in 454 cases. Analyzed the distribution of metastatic bone lesions in upper limbs' middle and distal or the pelvis and lower limbs and the distinction of metastatic bone lesions between different diseases were distinguished. Results: Of all the 454 patients, 130 cases showed abnormal radionuclide concentration in the region of upper limbs' middle and distal or the pelvis and lower limbs. One thousand three hundreds and three metastatic bone lesions were found in all the patients [893 were in lung cancer (64.4%), 36 1 were in breast cancer (27.7%) and 103 were in esophageal cancer (7.9%)]. Radioactive uptake in rotor area of femur lesions in these diseases was demonstrated to be of large proportion. Conclusions: The result of 99Tcm-MDP bone imaging shows that the distribution of the metastatic bone lesions in lung cancer, breast cancer and esophageal cancer vary from place to place. (authors)

  2. Total antioxidant intake and prostate cancer in the Cancer of the Prostate in Sweden (CAPS) study. A case control study

    OpenAIRE

    Russnes, Kjell M; Möller, Elisabeth; Wilson, Kathryn M.; Carlsen,Monica; Blomhoff, Rune; Smeland, Sigbjørn; Adami, Hans-Olov; Grönberg, Henrik; Mucci, Lorelei A.; Bälter, Katarina

    2016-01-01

    Background The total intake of dietary antioxidants may reduce prostate cancer risk but available data are sparse and the possible role of supplements unclear. We investigated the potential association between total and dietary antioxidant intake and prostate cancer in a Swedish population. Methods We used FFQ data from 1499 cases and 1112 controls in the population based case–control study Cancer of the Prostate in Sweden (CAPS). The ferric reducing antioxidant potential (FRAP) assay was use...

  3. The cancer stem-cell signaling network and resistance to therapy.

    Science.gov (United States)

    Carnero, A; Garcia-Mayea, Y; Mir, C; Lorente, J; Rubio, I T; LLeonart, M E

    2016-09-01

    The study of cancer stem cells (CSCs) has shown that tumors are driven by a subpopulation of self-renewing CSCs that retain the capacity to engender the various differentiated cell populations that form tumors. The characterization of CSCs has indicated that CSCs are remarkably resistant to conventional radio- and chemo-therapy. Clinically, the remaining populations of CSC are responsible for metastasis and recurrence in patients with cancer, which can lead to the disease becoming chronic and incurable. Therefore, the elimination of CSCs is an important goal of cancer treatments. Furthermore, CSCs are subject to strong regulation by the surrounding microenvironment, which also impacts tumor responses. In this review, we discuss the mechanisms by which pathways that are defective in CSCs influence ultimately therapeutic and clinical outcomes. PMID:27434881

  4. Study Suggests Type 2 Diabetes-Cancer Link

    Science.gov (United States)

    ... page: https://medlineplus.gov/news/fullstory_159814.html Study Suggests Type 2 Diabetes-Cancer Link It hints ... screening tests following a diagnosis of diabetes," said study author Dr. Iliana Lega, of the University of ...

  5. Music as a method of coping with cancer: A qualitative study among cancer patients in Sweden

    OpenAIRE

    Ahmadi, Fereshteh

    2013-01-01

    Background: This study investigated patients’ understanding of the role of music in coping and in influencing their well-being. Methods: A qualitative study was conducted based on semi-structured interviews with 17 cancer patients. Participants were chosen from a group of patients who had listened to or played music as a means of coping with their illness. Results: The study shows the importance of considering the roles that different kinds of music play in coping with cancer. The music of na...

  6. Obesity and cancer: mechanistic insights from transdisciplinary studies.

    Science.gov (United States)

    Allott, Emma H; Hursting, Stephen D

    2015-12-01

    Obesity is associated with a range of health outcomes that are of clinical and public health significance, including cancer. Herein, we summarize epidemiologic and preclinical evidence for an association between obesity and increased risk of breast and prostate cancer incidence and mortality. Moreover, we describe data from observational studies of weight change in humans and from calorie-restriction studies in mouse models that support a potential role for weight loss in counteracting tumor-promoting properties of obesity in breast and prostate cancers. Given that weight loss is challenging to achieve and maintain, we also consider evidence linking treatments for obesity-associated co-morbidities, including metformin, statins and non-steroidal anti-inflammatory drugs, with reduced breast and prostate cancer incidence and mortality. Finally, we highlight several challenges that should be considered when conducting epidemiologic and preclinical research in the area of obesity and cancer, including the measurement of obesity in population-based studies, the timing of obesity and weight change in relation to tumor latency and cancer diagnosis, and the heterogeneous nature of obesity and its associated co-morbidities. Given that obesity is a complex trait, comprised of behavioral, epidemiologic and molecular/metabolic factors, we argue that a transdisciplinary approach is the key to understanding the mechanisms linking obesity and cancer. As such, this review highlights the critical need to integrate evidence from both epidemiologic and preclinical studies to gain insight into both biologic and non-biologic mechanisms contributing to the obesity-cancer link. PMID:26373570

  7. Identifying the common interaction networks of amoeboid motility and cancer cell metastasis

    Directory of Open Access Journals (Sweden)

    Ahmed H. Zeitoun

    2012-06-01

    Full Text Available The recently analyzed genome of Naegleria gruberi, a free-living amoeboflagellate of the Heterolobosea clade, revealed a remarkably complex ancestral eukaryote with a rich repertoire of cytoskeletal-, motility- and signaling-genes. This protist, which diverged from other eukaryotic lineages over a billion years ago, possesses the ability for both amoeboid and flagellar motility. In a phylogenomic comparison of two free living eukaryotes with large proteomic datasets of three metastatic tumour entities (malignant melanoma, breast- and prostate-carcinoma, we find common proteins with potential importance for cell motility and cancer cell metastasis. To identify the underlying signaling modules, we constructed for each tumour type a protein-protein interaction network including these common proteins. The connectivity within this interactome revealed specific interactions and pathways which constitute prospective points of intervention for novel anti-metastatic tumour therapies.

  8. Research in Danish cancer rehabilitation

    DEFF Research Database (Denmark)

    Høybye, Mette Terp; Dalton, Susanne Oksbjerg; Christensen, Jane;

    2008-01-01

    cancer survivors with respect to cancer site, sociodemographic variables, social network, lifestyle, self-rated health and the prevalence of cancer-related late effects. The study is part of the FOCARE research project, in which the long-term effects of the rehabilitation programme are evaluated...... rate at baseline was 86% (n = 1876). Most participants were younger women with breast cancer. They were generally well educated and working. The cancer survivors reported having comprehensive social networks and being physically active. Several cancer-related symptoms were reported by women with...... site, sex, age, family, working status and social position. These challenges might be addressed optimally in multi-dimensional rehabilitation programmes....

  9. Risk Factors for Pancreatic Cancer in China: A Multicenter Case-Control Study

    OpenAIRE

    Zhaoxu Zheng

    2016-01-01

    Background: Despite having one of the highest mortality rates of all cancers, the risk factors of pancreatic cancer remain unclear. We assessed risk factors of pancreatic cancer in China. Methods: A case-control study design was conducted using data from four hospital-based cancer registries (Henan Provincial Cancer Hospital, Beijing Cancer Hospital, Hebei Provincial Cancer Hospital, and Cancer Hospital of Chinese Academy of Medical Sciences). Controls were equally matched and selected fro...

  10. Occupation, occupational exposure to solvents and breast cancer analyse of two epidemiological breast cancer studies in male and women

    OpenAIRE

    Villeneuve, Sara

    2011-01-01

    We have investigated the role of the occupation and of occupational exposures to petroleum and chlorinated solvents using the data of two epidemiological studies on occupational risk factors of breast cancers in men and in women. Unlike female breast cancer (50,000 new cases per year inFrance), cancer of male breast cancer is a rare disease (

  11. Toponome imaging system: in situ protein network mapping in normal and cancerous colon from the same patient reveals more than five-thousand cancer specific protein clusters and their subcellular annotation by using a three symbol code.

    Science.gov (United States)

    Bhattacharya, Sayantan; Mathew, George; Ruban, Ernie; Epstein, David B A; Krusche, Andreas; Hillert, Reyk; Schubert, Walter; Khan, Michael

    2010-12-01

    In a proof of principle study, we have applied an automated fluorescence toponome imaging system (TIS) to examine whether TIS can find protein network structures, distinguishing cancerous from normal colon tissue present in a surgical sample from the same patient. By using a three symbol code and a power of combinatorial molecular discrimination (PCMD) of 2(21) per subcellular data point in one single tissue section, we demonstrate an in situ protein network structure, visualized as a mosaic of 6813 protein clusters (combinatorial molecular phenotype or CMPs), in the cancerous part of the colon. By contrast, in the histologically normal colon, TIS identifies nearly 5 times the number of protein clusters as compared to the cancerous part (32 009). By subcellular visualization procedures, we found that many cell surface membrane molecules were closely associated with the cell cytoskeleton as unique CMPs in the normal part of the colon, while the same molecules were disassembled in the cancerous part, suggesting the presence of dysfunctional cytoskeleton-membrane complexes. As expected, glandular and stromal cell signatures were found, but interestingly also found were potentially TIS signatures identifying a very restricted subset of cells expressing several putative stem cell markers, all restricted to the cancerous tissue. The detection of these signatures is based on the extreme searching depth, high degree of dimensionality, and subcellular resolution capacity of TIS. These findings provide the technological rationale for the feasibility of a complete colon cancer toponome to be established by massive parallel high throughput/high content TIS mapping. PMID:20822185

  12. 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

    Because both ovarian and breast cancer are hormone-related and are known to have some predisposition genes in common, we evaluated 11 of the most significant hits (six with confirmed associations with breast cancer) from the breast cancer genome-wide association study for association with invasive.......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...... ovarian cancer. Eleven SNPs were initially genotyped in 2927 invasive ovarian cancer cases and 4143 controls from six ovarian cancer case-control studies. Genotype frequencies in cases and controls were compared using a likelihood ratio test in a logistic regression model stratified by study. Initially...

  13. Radiation Injury Treatment Network®: Preparedness Through a Coalition of Cancer Centers.

    Science.gov (United States)

    Case, Cullen

    2016-08-01

    This article provides an overview of Radiation Injury Treatment Network® (RITN), its preparedness activities and capabilities, including training and educating over 11,500 hospital staff, coordinating over 500 exercises, developing treatment guidelines, developing standard operating procedures, and being recognized by the U.S. federal government as a national response asset. The RITN provides comprehensive evaluation and treatment for victims with marrow toxic injuries. Many of the casualties from the detonation of an improvised nuclear device (IND) (a.k.a. terrorist nuclear bomb) with only radiation injuries will be salvageable; however, they would require outpatient and/or inpatient care. Recognizing this, the U.S. National Marrow Donor Program (NMDP), U.S. Navy, and American Society for Blood and Marrow Transplantation (ASBMT) collaboratively developed RITN, which comprises medical centers with expertise in the management of bone marrow failure. The medical community will undoubtedly be taxed by the resulting medical surge from an IND despite the well-defined United States emergency medical system, the National Disaster Medical System; however, one area that is unique for radiological disasters is the care for casualties with acute radiation syndrome. Hematologists and oncologists purposefully expose their cancer patients to high doses of radiation and toxic chemicals for chemotherapy as they treat their patients, resulting in symptoms not unlike casualties with exposure to ionizing radiation from a radiological disaster. This makes the staff from cancer centers ideal for the specialized care that will be required for thousands of casualties following a mass casualty radiological incident. The RITN is a model for how a collaborative effort can fill a readiness gap-through its network of 76 hospitals, blood donor centers, and cord blood banks, the RITN is preparing to provide outpatient care and specialized supportive care to up to 63,000 radiological casualties

  14. Studying the structure of complex networks by the transition to acyclic networks

    CERN Document Server

    Shevchuk, R

    2010-01-01

    The directed acyclic networks is the fundamental class of networks which include network citation, food chains, family trees and other networks with similar structure. In this paper we present an algorithm for transforming an ordinary undirected complex network into acyclic one and further analysis of the structure of a complex network.

  15. Social network analysis in identifying influential webloggers: A preliminary study

    Science.gov (United States)

    Hasmuni, Noraini; Sulaiman, Nor Intan Saniah; Zaibidi, Nerda Zura

    2014-12-01

    In recent years, second generation of internet-based services such as weblog has become an effective communication tool to publish information on the Web. Weblogs have unique characteristics that deserve users' attention. Some of webloggers have seen weblogs as appropriate medium to initiate and expand business. These webloggers or also known as direct profit-oriented webloggers (DPOWs) communicate and share knowledge with each other through social interaction. However, survivability is the main issue among DPOW. Frequent communication with influential webloggers is one of the way to keep survive as DPOW. This paper aims to understand the network structure and identify influential webloggers within the network. Proper understanding of the network structure can assist us in knowing how the information is exchanged among members and enhance survivability among DPOW. 30 DPOW were involved in this study. Degree centrality and betweenness centrality measurement in Social Network Analysis (SNA) were used to examine the strength relation and identify influential webloggers within the network. Thus, webloggers with the highest value of these measurements are considered as the most influential webloggers in the network.

  16. Study on cancer risk in aircrews

    International Nuclear Information System (INIS)

    Recently, epidemic surveys on cancer risk in aircrews were performed in several countries such as USA, Canada, UK, Japan, Philippines and Denmark. Here, the authors reviewed those survey reports aiming to elucidate the effects of natural radiation due to cosmic rays, especially neutron in aircrews. Those survey reports demonstrated that incidences of cutaneous cancer, brain tumor, bladder cancer, prostatic cancer, colon cancer and leukemia were higher in the aircrews than ordinary people. The survey made with a total of 1600 women crews in Finland showed that their mean accumulated dose was 20 mSv and the risk for mammary cancer was 1.9. Moreover, the risks of mammary cancer for women crews were also reported to be higher in Denmark and Iceland. However, it was difficult to obtain conclusive information since the number of those survey subjects were not so large and there is a possibility of healthy worker's effects because the cohorts of those surveys are special, i.e., aircrews are very healthy in special. The radiation exposure on airway crews is characterized by neutron radiation, which occupies over than a half of the total dose of natural radiation. Thus, relative biological effectiveness of neutron radiation was evaluated to compare with those of gamma ray and X-ray and it was pointed out that the mammary gland is highly sensitive to neutron exposure and its RBE was comparatively large. Thus, it was thought that it is necessary to further accumulate basic information for carcinogenesis related to low-dose neutron exposure. (M.N.)

  17. Cancer-affine radiopharmaceuticals for the study of biochemical nature of cancer and in the early diagnosis and follow-up of cancer and its systemic therapy

    International Nuclear Information System (INIS)

    Cancer patient needs less diagnosis but an effective therapy. The systemic nature of cancer, often right from its inception, requires systemic therapy with cancer-affine radiopharmaceuticals which contain radionuclide species recognizing both the primary and secondary cancers which have generally different biochemical properties. Cancers may be classified into two groups: I. CATIONIC COMPLEX-AFFINE TUMOURS; Lung cancer, thyroid cancer, primary breast cancer, renal cell carcinoma, bone metastases from anionic complex-affine cancers, ...; II. ANIONIC COMPLEX-AFFINE TUMOURS; Primary prostate cancer, melanoma, hepatocellular carcinoma, osteosarcoma, Ewing's sarcoma, bone metastases from cationic complex-affine cancer. With cancer-affine citratogallate-67 complexes we have diagnosed and followed up, and with citratoyttrate-90 complexes we have treated advanced breast, prostate, renal cell cancer patients. The patient preparation by advising to avoid cancer risk factors and to take cancer preventing and radiopharmaceutical stabilizing diets during diagnosis and therapy have given better results. Friendliness, caring visits and telephone calls from the therapist group help to obtain better outcomes of the diagnosis, and mainly of the therapy. The complexes of these radionuclides with other chelating agents EDTA and DPTA are expected to give better images and cure of advanced cancer patients. Cancer-affine formulations of Tc-99m(V), Re-186(V) and Re-188(V)-DMSA are being studied for their future use in early diagnosis and follow-up, and for the systemic therapy of cancer which will show affinity for them. (author)

  18. Disentangling the Association between Statins, Cholesterol, and Colorectal Cancer: A Nested Case-Control Study

    Science.gov (United States)

    Mamtani, Ronac; Lewis, James D.; Scott, Frank I.; Ahmad, Tariq; Goldberg, David S.; Datta, Jashodeep; Yang, Yu-Xiao; Boursi, Ben

    2016-01-01

    Background Several prior studies have found an association between statin use and reduced risk of colorectal cancer. We hypothesized that these findings may be due to systematic bias and examined the independent association of colorectal cancer risk with statin use, serum cholesterol, and change in cholesterol concentration. Methods and Findings 22,163 colorectal cancer cases and 86,538 matched controls between 1995 and 2013 were identified within The Health Improvement Network (THIN) a population-representative database. Conditional logistic regression models estimated colorectal cancer risk with statin use, serum total cholesterol (mmol/L), and change in total cholesterol level. We confirmed a decreased risk of colorectal cancer with statin use (long-term: odds ratio [OR], 0.95; 95% confidence interval [CI], 0.91–0.99; short-term: OR, 0.92; 95% CI, 0.85–0.99). However, to assess whether the observed association may result from indication bias, a subgroup analysis was conducted among patients prescribed a statin. In this subgroup (n = 5,102 cases, n = 19,032 controls), 3.1% of case subjects and 3.1% of controls discontinued therapy. The risk of colorectal cancer was not significantly different among those who continued statin therapy and those who discontinued (OR, 0.98; 95% CI, 0.79–1.22). Increased serum cholesterol was independently associated with decreased risk of colorectal cancer (OR, 0.89 per mmol/L increase; 95% CI, 0.87–0.91); the association was only present if serum cholesterol was measured near the cancer diagnosis (24 mo: OR, 0.98; 95% CI, 0.93–1.03). Decreases in serum total cholesterol >1 mmol/L ≥1 year prior to cancer diagnosis were associated with subsequent colorectal cancer (statin users: OR, 1.25; 95 CI%, 1.03–1.53; nonusers: OR, 2.36; 95 CI%, 1.78–3.12). As an observational study, limitations included incomplete data and residual confounding. Conclusions Although the risk of colorectal cancer was lower in statin users versus

  19. Exploiting sensitivity analysis in Bayesian networks for consumer satisfaction study

    NARCIS (Netherlands)

    Jaronski, W.; Bloemer, J.M.M.; Vanhoof, K.; Wets, G.

    2004-01-01

    The paper presents an application of Bayesian network technology in a empirical customer satisfaction study. The findings of the study should provide insight as to the importance of product/service dimensions in terms of the strength of their influence on overall satisfaction. To this end we apply a

  20. Study of mammography in mass screening for breast cancer

    International Nuclear Information System (INIS)

    In order to examine the rate of correct diagnosis by mammography at initial mass screening for breast cancer, we carried out a retrospective study of mammography findings in 267 cases of breast cancer detected at Asahikawa Cancer Screening Center. The screening was performed by physical examination, and in cases where disease was suspected, mammography, ultrasonography, and needle biopsy were done. Mammographically, 172 cases (64.4%) were cancer-positive, 58 cases (21.7%) were suspicious for cancer, and 37 cases (13.9%) were cancer-negative. Patients below 50 years of age and those with tumors of small diameter (<20 mm) showed a significantly lower rate of cancer positivity than patients aged 50 years or more and those with tumors 20 mm or more in diameter. Mammographic abnormalities were not specific, since these changes were also found in normal subjects and patients with benign diseases. Therefore, we concluded that mammography without physical examination at initial mass screening has a high risk of missing breast cancer. Mass screening for breast cancer should be performed by physical examination involving inspection and palpation at the first instance. If any suspicious findings are obtained, mammography, ultrasonography, and needle biopsy should be done. (author)

  1. Evaluation of the Definitions of “High-Risk” Cutaneous Squamous Cell Carcinoma Using the American Joint Committee on Cancer Staging Criteria and National Comprehensive Cancer Network Guidelines

    OpenAIRE

    Melinda B. Chu; Slutsky, Jordan B.; Dhandha, Maulik M.; Beal, Brandon T.; Armbrecht, Eric S.; Walker, Ronald J.; Varvares, Mark A.; Fosko, Scott W.

    2014-01-01

    Recent guidelines from the American Joint Committee on Cancer (AJCC) and National Comprehensive Cancer Network (NCCN) have been proposed for the assessment of “high-risk” cutaneous squamous cell carcinomas (cSCCs). Though different in perspective, both guidelines share the common goals of trying to identify “high-risk” cSCCs and improving patient outcomes. Thus, in theory, both definitions should identify a similar proportion of “high-risk” tumors. We sought to evaluate the AJCC and NCCN d...

  2. Iron and other elements studies in cancerous and non-cancerous prostate tissues

    International Nuclear Information System (INIS)

    To understand the role of trace elements in the oxidative stress, which may be an important factor in the pathogenesis of prostate cancer, we investigated the distribution and chemical state of Fe using synchrotron radiation. Therefore, both synchrotron radiation induced X-ray emission (SRIXE) and X-ray absorption near-edge structure (XANES) techniques have been applied to study cancerous and non-cancerous prostate tissues. The results obtained in this work prove that SRIXE and XANES techniques are complementary ones for analysis of trace elements in biomedical samples. The absorption K-edge position of iron determined in cancerous tissue is shifted by 2.9 eV towards higher energies in comparison to iron absorption K-edge determined in non-cancerous tissue. The information obtained in this way may help to understand the role of oxidation state of iron in the oxidative stress underlying the oncogenesis

  3. A validated gene expression profile for detecting clinical outcome in breast cancer using artificial neural networks.

    Science.gov (United States)

    Lancashire, L J; Powe, D G; Reis-Filho, J S; Rakha, E; Lemetre, C; Weigelt, B; Abdel-Fatah, T M; Green, A R; Mukta, R; Blamey, R; Paish, E C; Rees, R C; Ellis, I O; Ball, G R

    2010-02-01

    Gene expression microarrays allow for the high throughput analysis of huge numbers of gene transcripts and this technology has been widely applied to the molecular and biological classification of cancer patients and in predicting clinical outcome. A potential handicap of such data intensive molecular technologies is the translation to clinical application in routine practice. In using an artificial neural network bioinformatic approach, we have reduced a 70 gene signature to just 9 genes capable of accurately predicting distant metastases in the original dataset. Upon validation in a follow-up cohort, this signature was an independent predictor of metastases free and overall survival in the presence of the 70 gene signature and other factors. Interestingly, the ANN signature and CA9 expression also split the groups defined by the 70 gene signature into prognostically distinct groups. Subsequently, the presence of protein for the principal prognosticator gene was categorically assessed in breast cancer tissue of an experimental and independent validation patient cohort, using immunohistochemistry. Importantly our principal prognosticator, CA9, showed that it is capable of selecting an aggressive subgroup of patients who are known to have poor prognosis. PMID:19347577

  4. Evolutionary programming technique for reducing complexity of artifical neural networks for breast cancer diagnosis

    Science.gov (United States)

    Lo, Joseph Y.; Land, Walker H., Jr.; Morrison, Clayton T.

    2000-06-01

    An evolutionary programming (EP) technique was investigated to reduce the complexity of artificial neural network (ANN) models that predict the outcome of mammography-induced breast biopsy. By combining input variables consisting of mammography lesion descriptors and patient history data, the ANN predicted whether the lesion was benign or malignant, which may aide in reducing the number of unnecessary benign biopsies and thus the cost of mammography screening of breast cancer. The EP has the ability to optimize the ANN both structurally and parametrically. An EP was partially optimized using a data set of 882 biopsy-proven cases from Duke University Medical Center. Although many different architectures were evolved, the best were often perceptrons with no hidden nodes. A rank ordering of the inputs was performed using twenty independent EP runs. This confirmed the predictive value of the mass margin and patient age variables, and revealed the unexpected usefulness of the history of previous breast cancer. Further work is required to improve the performance of the EP over all cases in general and calcification cases in particular.

  5. Basic study of cancer immunity and radiotherapy

    International Nuclear Information System (INIS)

    With respect to anti-tumor effect of radiation, antigenicity and involvement of immunity of an individual with cancer were evaluated under both conditions of natural and insufficient immunity. In animal experiments, it is clear that immunity of the host, especially the function of T-cells, has much to do with the curability of cancer by radiotherapy. In some type of human cancer, not only the histological findings in its healing process following x-ray irradiation but a number of clinical and in vitro experimental results strongly suggest the presence of antigenicity of the T-cells, although it is quite little. The experiments made in a combination of human cancer and nude mice showed a possibility of non-T cells being involved in this mechanism irrespective of whether it is specific, non-specific or not having such an important role as T-cells. There are many problems left unsolved. However, radiotherapy of cancer should be undertaken by maintaining or further improving the immunity of the body in order to obtain good results. (Ueda, J.)

  6. Study of co-authorship network of papers in the Journal of Research in Medical Sciences using social network analysis

    Directory of Open Access Journals (Sweden)

    Firoozeh Zare-Farashbandi

    2014-01-01

    Full Text Available Background: Co-authorship is one of the most tangible forms of research collaboration. A co-authorship network is a social network in which the authors through participation in one or more publication through an indirect path have linked to each other. The present research using the social network analysis studied co-authorship network of 681 articles published in Journal of Research in Medical Sciences (JRMS during 2008-2012. Materials and Methods: The study was carried out with the scientometrics approach and using co-authorship network analysis of authors. The topology of the co-authorship network of 681 published articles in JRMS between 2008 and 2012 was analyzed using macro-level metrics indicators of network analysis such as density, clustering coefficient, components and mean distance. In addition, in order to evaluate the performance of each authors and countries in the network, the micro-level indicators such as degree centrality, closeness centrality and betweenness centrality as well as productivity index were used. The UCINET and NetDraw softwares were used to draw and analyze the co-authorship network of the papers. Results: The assessment of the authors productivity in this journal showed that the first ranks were belonged to only five authors, respectively. Furthermore, analysis of the co-authorship of the authors in the network demonstrated that in the betweenness centrality index, three authors of them had the good position in the network. They can be considered as the network leaders able to control the flow of information in the network compared with the other members based on the shortest paths. On the other hand, the key role of the network according to the productivity and centrality indexes was belonged to Iran, Malaysia and United States of America. Conclusion: Co-authorship network of JRMS has the characteristics of a small world network. In addition, the theory of 6° separation is valid in this network was also true.

  7. Eleventh Hour Network+ Exam N10-004 Study Guide

    CERN Document Server

    Alpern, Naomi

    2009-01-01

    The 11th Hour Network+ Study Guide is keyed to the N10-004 revision of the CompTIA Network+ exam. This book is streamlined to include only core certification information and is presented for ease of last-minute studying. Main objectives of the exam are covered with key concepts highlighted. ..: ..; Fast Facts quickly review fundamentals ..; Exam Warnings highlight particularly tough sections of the exam ..; Crunch Time sidebars point out key concepts to remember ..; Did You Know? sidebars cover sometimes forgotten details ..; Top Five Toughest Questions and answers help you to prepare ..

  8. Reliable in vitro studies require appropriate ovarian cancer cell lines.

    Science.gov (United States)

    Jacob, Francis; Nixdorf, Sheri; Hacker, Neville F; Heinzelmann-Schwarz, Viola A

    2014-01-01

    Ovarian cancer is the fifth most common cause of cancer death in women and the leading cause of death from gynaecological malignancies. Of the 75% women diagnosed with locally advanced or disseminated disease, only 30% will survive five years following treatment. This poor prognosis is due to the following reasons: limited understanding of the tumor origin, unclear initiating events and early developmental stages of ovarian cancer, lack of reliable ovarian cancer-specific biomarkers, and drug resistance in advanced cases. In the past, in vitro studies using cell line models have been an invaluable tool for basic, discovery-driven cancer research. However, numerous issues including misidentification and cross-contamination of cell lines have hindered research efforts. In this study we examined all ovarian cancer cell lines available from cell banks. Hereby, we identified inconsistencies in the reporting, difficulties in the identification of cell origin or clinical data of the donor patients, restricted ethnic and histological type representation, and a lack of tubal and peritoneal cancer cell lines. We recommend that all cell lines should be distributed via official cell banks only with strict guidelines regarding the minimal available information required to improve the quality of ovarian cancer research in future. PMID:24936210

  9. A Systems’ Biology Approach to Study MicroRNA-Mediated Gene Regulatory Networks

    Directory of Open Access Journals (Sweden)

    Xin Lai

    2013-01-01

    Full Text Available MicroRNAs (miRNAs are potent effectors in gene regulatory networks where aberrant miRNA expression can contribute to human diseases such as cancer. For a better understanding of the regulatory role of miRNAs in coordinating gene expression, we here present a systems biology approach combining data-driven modeling and model-driven experiments. Such an approach is characterized by an iterative process, including biological data acquisition and integration, network construction, mathematical modeling and experimental validation. To demonstrate the application of this approach, we adopt it to investigate mechanisms of collective repression on p21 by multiple miRNAs. We first construct a p21 regulatory network based on data from the literature and further expand it using algorithms that predict molecular interactions. Based on the network structure, a detailed mechanistic model is established and its parameter values are determined using data. Finally, the calibrated model is used to study the effect of different miRNA expression profiles and cooperative target regulation on p21 expression levels in different biological contexts.

  10. Pre-Operative Prediction of Advanced Prostatic Cancer Using Clinical Decision Support Systems: Accuracy Comparison between Support Vector Machine and Artificial Neural Network

    International Nuclear Information System (INIS)

    The purpose of the current study was to develop support vector machine (SVM) and artificial neural network (ANN) models for the pre-operative prediction of advanced prostate cancer by using the parameters acquired from transrectal ultrasound (TRUS)-guided prostate biopsies, and to compare the accuracies between the two models. Five hundred thirty-two consecutive patients who underwent prostate biopsies and prostatectomies for prostate cancer were divided into the training and test groups (n = 300 versus n 232). From the data in the training group, two clinical decision support systems (CDSSs-[SVM and ANN]) were constructed with input (age, prostate specific antigen level, digital rectal examination, and five biopsy parameters) and output data (the probability for advanced prostate cancer [> pT3a]). From the data of the test group, the accuracy of output data was evaluated. The areas under the receiver operating characteristic (ROC) curve (AUC) were calculated to summarize the overall performances, and a comparison of the ROC curves was performed (p < 0.05). The AUC of SVM and ANN is 0.805 and 0.719, respectively (p = 0.020), in the pre-operative prediction of advanced prostate cancer. Te performance of SVM is superior to ANN in the pre-operative prediction of advanced prostate cancer.

  11. ACCISS study rationale and design: activating collaborative cancer information service support for cervical cancer screening

    Directory of Open Access Journals (Sweden)

    Bullard Emily

    2009-12-01

    Full Text Available Abstract Background High-quality cancer information resources are available but underutilized by the public. Despite greater awareness of the National Cancer Institute's Cancer Information Service among low-income African Americans and Hispanics compared with Caucasians, actual Cancer Information Service usage is lower than expected, paralleling excess cancer-related morbidity and mortality for these subgroups. The proposed research examines how to connect the Cancer Information Service to low-income African-American and Hispanic women and their health care providers. The study will examine whether targeted physician mailing to women scheduled for colposcopy to follow up an abnormal Pap test can increase calls to the Cancer Information Service, enhance appropriate medical follow-up, and improve satisfaction with provider-patient communication. Methods/Design The study will be conducted in two clinics in ethnically diverse low-income communities in Chicago. During the formative phase, patients and providers will provide input regarding materials planned for use in the experimental phase of the study. The experimental phase will use a two-group prospective randomized controlled trial design. African American and Hispanic women with an abnormal Pap test will be randomized to Usual Care (routine colposcopy reminder letter or Intervention (reminder plus provider recommendation to call the Cancer Information Service and sample questions to ask. Primary outcomes will be: 1 calls to the Cancer Information Service; 2 timely medical follow-up, operationalized by whether the patient keeps her colposcopy appointment within six months of the abnormal Pap; and 3 patient satisfaction with provider-patient communication at follow-up. Discussion The study examines the effectiveness of a feasible, sustainable, and culturally sensitive strategy to increase awareness and use of the Cancer Information Service among an underserved population. The goal of linking a

  12. Comparative effects of different enteral feeding methods in head and neck cancer patients receiving radiotherapy or chemoradiotherapy: a network meta-analysis.

    Science.gov (United States)

    Zhang, Zhihong; Zhu, Yu; Ling, Yun; Zhang, Lijuan; Wan, Hongwei

    2016-01-01

    Nasogastric tube (NGT) and percutaneous endoscopic gastrostomy were frequently used in the head and neck cancer patients when malnutrition was present. Nevertheless, the evidence was inclusive in terms of the choice and the time of tube placement. The aim of this network meta-analysis was to evaluate the comparative effects of prophylactic percutaneous endoscopic gastrostomy (pPEG), reactive percutaneous endoscopic gastrostomy (rPEG), and NGT in the head and neck cancer patients receiving radiotherapy or chemoradiotherapy. Databases of PubMed, Web of Science, and Elsevier were searched from inception to October 2015. Thirteen studies enrolling 1,631 participants were included in this network meta-analysis. The results indicated that both pPEG and NGT were superior to rPEG in the management of weight loss. pPEG was associated with the least rate of treatment interruption and nutrition-related hospital admission among pPEG, rPEG, and NGT. Meanwhile, there was no difference in tube-related complications. Our study suggested that pPEG might be a better choice in malnutrition management in the head and neck cancer patients undergoing radiotherapy or chemoradiotherapy. However, its effects need to be further investigated in more randomized controlled trials. PMID:27274283

  13. Statistical physics, neural networks, brain studies

    International Nuclear Information System (INIS)

    An overview of some aspects of a vast domain, located at the crossroads of physics, biology and computer science is presented: (1) During the last fifteen years, physicists advancing along various pathways have come into contact with biology (computational neurosciences) and engineering (formal neural nets). (2) This move may actually be viewed as one component in a larger picture. A prominent trend of recent years, observable over many countries, has been the establishment of interdisciplinary centers devoted to the study of: cognitive sciences; natural and artificial intelligence; brain, mind and behaviour; perception and action; learning and memory; robotics; man-machine communication, etc. What are the promising lines of development? What opportunities for physicists? An attempt will be made to address such questions and related issues

  14. Statistical Physics, Neural Networks, Brain Studies

    Science.gov (United States)

    Toulouse, Gerard

    1999-01-01

    An overview of some aspects of a vast domain, located at the crossroads of physics, biology and computer science is presented: 1) During the last fifteen years, physicists advancing along various pathways have come into contact with biology (computational neurosciences) and engineering (formal neural nets). 2) This move may actually be viewed as one component in a larger picture. A prominent trend of recent years, observable over many countries, has been the establishment of interdisciplinary centers devoted to the study of: cognitive sciences; natural and artificial intelligence; brain, mind and behaviour; perception and action; learning and memory; robotics; man-machine communication, etc. What are the promising lines of development? What opportunities for physicists? An attempt will be made to address such questions, and related issues.

  15. Register-based studies of cancer screening effects

    DEFF Research Database (Denmark)

    Von Euler-Chelpin, My; Lynge, Elsebeth; Rebolj, Matejka

    INTRODUCTION: There are two organised cancer screening programmes in Denmark, against cervical and breast cancers. The aim with this study was to give an overview of the available register-based research regarding these two programmes, to demonstrate the usefulness of data from the national...... registers. RESEARCH TOPICS: The register-based studies on cancer screening in Denmark could be grouped into research concerning effectiveness, in terms of mortality and incidence reduction, short-term indicators, e.g. in relation to recommended quality assurance indicators, and side effects, e.g. as false...

  16. Canadian study of cancer following multiple fluoroscopies

    International Nuclear Information System (INIS)

    Records of patients treated in Canadian Sanatoria during the period 1930-1952 have been linked with the National Death Index maintained by Statistics Canada to provide fact and cause of death information for the years 1950-1980. Of 31,710 women known to be under observation on January 1, 1950, 13,795 were exposed to fluoroscopy for control of collapse therapy, while the remaining 17,915 were unexposed. The unexposed had the similar mortality from breast cancer to that expected from general population rates. Those exposed to fluoroscopy had increasing mortality with increasing radiation dose to the breast, the best fit to the dose-response curve being a quadratic function. Estimates of risk at doses above 300 rads were largely derived from patients treated in Nova Scotia, where fluoroscopy was administered antero-posterior, as distinct from the more usual postero-antero practiced elsewhere. There is evidence of age-related susceptibility to radiation-induced breast cancer. The risk was maximal for those who first received fluoroscopy in their teens or twenties, but it was similar to expectation for those first exposed at age 30 or more. The latent period from onset of exposure to first increase in the death rate from breast cancer was 15 years for those first exposed at ages 10-24 and 10 years for those first exposed at ages 25 or more. However, these periods coincide with years when mortality from breast cancer normally rises and may therefore not be a true latent period effect. Estimates of predicted excess deaths from breast cancer per million women first exposed at ages 10-29 vary depending on the model used to represent the effect and whether or not data from the Nova Scotia Series are included in the computations

  17. Additional Treatments Offer Little Benefit for Pancreatic Cancer: Study

    Science.gov (United States)

    ... gov/medlineplus/news/fullstory_158633.html Additional Treatments Offer Little Benefit for Pancreatic Cancer: Study Neither extra ... to a second round of chemotherapy (chemoradiotherapy) would offer any survival benefit. Unfortunately, the addition of the ...

  18. Exercise May Cut Risk of 13 Cancers, Study Suggests

    Science.gov (United States)

    ... page: https://medlineplus.gov/news/fullstory_158854.html Exercise May Cut Risk of 13 Cancers, Study Suggests ... 16, 2016 MONDAY, May 16, 2016 (HealthDay News) -- Exercise may significantly reduce your risk for many types ...

  19. Arthritis Possible Side Effect of Certain Cancer Drugs: Study

    Science.gov (United States)

    ... page: https://medlineplus.gov/news/fullstory_159602.html Arthritis Possible Side Effect of Certain Cancer Drugs: Study ... increase risk for joint and tissue disease, including arthritis, new research suggests. "We keep having referrals coming ...

  20. Study on the multiple cancer in A-bomb survivors

    International Nuclear Information System (INIS)

    Autopsy data from cohort studies performed on A-bomb victims revealed that the incidence rate of multiple cancer was 7.8% (193 of 2,472 cancer A-bomb victims), being higher than that (5.8%) found from the tumor registry in Hiroshima and Nagasaki. Multiple cancer occurred more frequently in women than in men in both Nagasaki and Hiroshima. The incidence of multiple cancer was 1.5 times higher in the victims exposed to more than 100 rad (Vsub(+) group) than in those exposed to less than one rad (V0 group), suggesting that there might be dose-response relationship, although this was not statistically significant between the exposed groups. According to the organs, relative risk ratio of developing cancer in the Vsub(+) group to that in the V0 group was high in the colon and rectum, bladder, lungs, and testes in men; in the thyroid gland, lungs, colon and rectum, bladder, and breast in women, although no statistically significant differences were observed between the groups. This was suggestive of cancer that arises frequently in the lungs of men in the Vsub(+) group. Occult cancer of the thyroid gland and testes was also discussed in relation to the incidence of multiple cancer. (Namekawa, K.)

  1. Immunohistochemical study of estrogen receptors and progesterone in breast cancer

    International Nuclear Information System (INIS)

    Presence of estrogen receptors in breast tumors allows to judge about sensitivity of cancer to hormone therapy and diseases prognosis. Objective of the study is to compare histological forms of patient's age and various estrogen receptors combination in breast cancer. 30 patients were undergone to immune-histo-chemical examination of breast tumors in the Semipalatinsk cancer clinic. According to expression of estrogen and testosteron receptors they were divided into 4 groups. The most wide-spread histologic type of cancer was dust-infiltrative. This type took place of 3.3 % for the first group, 9.9 % for the second group, 16-6 % for the third one, and 36.6 % for the fourth one. Histological type of cancer had not effects on expression of receptors estrogen and progesterone in tumor. Rare breast cancer types like medullary occurred only in the fourth group. Dividing breast cancer into positive and negative or with expression of one hormone depending on expression of estrogen, testosteron receptors may be regarded as a sensible way. More expanded examination on immune-histo-chemical markers allows extending topics regarding therapy of breast cancer. (author)

  2. Proteome-wide dataset supporting functional study of tyrosine kinases in breast cancer

    Directory of Open Access Journals (Sweden)

    Nicos Angelopoulos

    2016-06-01

    Full Text Available Tyrosine kinases (TKs play an essential role in regulating various cellular activities and dysregulation of TK signaling contributes to oncogenesis. However, less than half of the TKs have been thoroughly studied. Through a combined use of RNAi and stable isotope labeling with amino acids in cell culture (SILAC-based quantitative proteomics, a global functional proteomic landscape of TKs in breast cancer was recently revealed highlighting a comprehensive and highly integrated signaling network regulated by TKs (Stebbing et al., 2015 [1]. We collate the enormous amount of the proteomic data in an open access platform, providing a valuable resource for studying the function of TKs in cancer and benefiting the science community. Here we present a detailed description related to this study (Stebbing et al., 2015 [1] and the raw data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the identifier http://www.ebi.ac.uk/pride/archive/projects/PXD002065.

  3. Proteome-wide dataset supporting functional study of tyrosine kinases in breast cancer.

    Science.gov (United States)

    Angelopoulos, Nicos; Stebbing, Justin; Xu, Yichen; Giamas, Georgios; Zhang, Hua

    2016-06-01

    Tyrosine kinases (TKs) play an essential role in regulating various cellular activities and dysregulation of TK signaling contributes to oncogenesis. However, less than half of the TKs have been thoroughly studied. Through a combined use of RNAi and stable isotope labeling with amino acids in cell culture (SILAC)-based quantitative proteomics, a global functional proteomic landscape of TKs in breast cancer was recently revealed highlighting a comprehensive and highly integrated signaling network regulated by TKs (Stebbing et al., 2015) [1]. We collate the enormous amount of the proteomic data in an open access platform, providing a valuable resource for studying the function of TKs in cancer and benefiting the science community. Here we present a detailed description related to this study (Stebbing et al., 2015) [1] and the raw data have been deposited to the ProteomeXchange Consortium via the PRIDE partner repository with the identifier PXD002065. PMID:27054188

  4. Study of Chaos in the Traffic of Computer Networks

    Directory of Open Access Journals (Sweden)

    Evgeny Nikulchev

    2014-09-01

    Full Text Available Development of telecommunications technology currently determines the growth of research with an aim to find new solutions and innovative approaches to the mathematical description of the processes. One of the directions in the description of traffic in computer networks is focused on studying the properties of chaotic traffic. We offer a complex method for the dynamic chaos determination. It is suggested to introduce additional indicators based on the absence of trivial conservation laws and weak symmetry breaking. The conclusion is made that dynamic chaos in the example of computer network traffic.

  5. Study on Network Security Architecture for Power Systems

    Institute of Scientific and Technical Information of China (English)

    2005-01-01

    The wide application of network technology in power systems brings not only convenience and flexibility but also security threats. An architecture of network security for power system was proposed in this study,which protected data and facilities from being attacked by outside users by means of firewall, security monitor and control system. Firewall was basically the first line of defense for the intranet; the security monitoring system was a kind of IDS (Intrusion Detection System), while security control system provided authentication, authorization,data-encrypted transmission and security management. This architecture provides various security services, such as identification, authentication, authorization, data integrity and confidentiality.

  6. A Wireless Sensor Network Field Study: Network Development, Installation, and Measurement Results

    Science.gov (United States)

    Davis, T. W.; Kuo, C.; van Hemmen, H.; Aouni, A.; Ferriss, E.; Liang, Y.; Liang, X.

    2010-12-01

    The sustainable condition of our freshwater resources partially depends on our understanding of the natural system in which it is cycled. Exploring the status and trends of soil moisture and transpiration can help improve estimates (including flux and storage components) of water budgets on a regional-scale. As a part of this effort, a multi-node wireless network measuring sap flow, soil water content and soil water potential has been deployed in a forested and hill-sloped region in western Pennsylvania. The results of this study are presented in three components. The first is comprised of the issues faced with the development of the node mesh and its evolution to a stable network through the dense vegetation and variable topography. This component includes a comparison of mote battery life, especially over network bottlenecks, and signal transmission statistics, including parenting analysis and data packet loss. The second component examines the design and installation of the sensor nodes. Due to the frequent occurrences of precipitation, water intrusion was a major concern. This is exemplified in the water-proofing techniques used in the box design which enclosed sensors and other vulnerable electronics. The final component reviews the data collected from the network and the different techniques used for processing the measurements. A power saving scheme is tested for removing low mote battery power attenuation in the transmitted data. The results for the soil moisture and sap flow measurements are compared with data collected by a local weather station.

  7. EDUCATIONAL DESIGNS SUPPORTING STUDENT ENGAGEMENT THROUGH NETWORK PROJECT STUDIES

    DEFF Research Database (Denmark)

    Nielsen, Jørgen Lerche

    (MIL), where students conduct blended learning study in groups within a networked learning structure. In problem-oriented learning and teaching, teachers act as well as teachers and as supervisors of students’ projects. This challenges the traditional teacher role, and it is crucial for a teacher to...

  8. International Students' Networks: A Case Study in a UK University

    Science.gov (United States)

    Taha, Nashrawan; Cox, Andrew

    2016-01-01

    The great influx of international students into UK universities has led to internationalisation becoming an important issue. Previous studies have focused on the integration of home and international students, illustrating a lack of intercultural interaction. Yet there has been a lack of research investigating international students' networks and…

  9. Ecological interaction and phylogeny, studying functionality on composed networks

    Science.gov (United States)

    Cruz, Claudia P. T.; Fonseca, Carlos Roberto; Corso, Gilberto

    2012-02-01

    We study a class of composed networks that are formed by two tree networks, TP and TA, whose end points touch each other through a bipartite network BPA. We explore this network using a functional approach. We are interested in how much the topology, or the structure, of TX (X=A or P) determines the links of BPA. This composed structure is a useful model in evolutionary biology, where TP and TA are the phylogenetic trees of plants and animals that interact in an ecological community. We make use of ecological networks of dispersion of fruits, which are formed by frugivorous animals and plants with fruits; the animals, usually birds, eat fruits and disperse their seeds. We analyse how the phylogeny of TX determines or is correlated with BPA using a Monte Carlo approach. We use the phylogenetic distance among elements that interact with a given species to construct an index κ that quantifies the influence of TX over BPA. The algorithm is based on the assumption that interaction matrices that follows a phylogeny of TX have a total phylogenetic distance smaller than the average distance of an ensemble of Monte Carlo realisations. We find that the effect of phylogeny of animal species is more pronounced in the ecological matrix than plant phylogeny.

  10. Binge drinking at University: a social network study in Belgium.

    Science.gov (United States)

    Lorant, Vincent; Nicaise, Pablo

    2015-09-01

    Many university students engage in risky alcohol consumption behaviour during their stay at university. So far, however, most studies have relied on cross-sectional surveys and paid little attention to the role of social ties. University students, however, are socially connected, so it is likely that their alcohol consumption behaviour is also connected. We hypothesized that university students' social positions within their networks are related to their drinking behaviour. We carried out a social network analysis within a whole network approach with undergraduates in two faculties (n = 487), those of Engineering and Psychology, in a Belgian university. All students filled out a questionnaire recording their drinking behaviour and their social ties (friendship, working with, partying with and room-mate). For each individual, indicators of centrality, social capital, and cross-gender relationships were computed. We found that being socially close to binge drinkers was associated with a higher frequency of binge drinking. The risk of binge drinking increased with centrality but decreased with social capital. Having cross-gender relationships decreased the risk of binge drinking. We found indications that the effect of centrality and gender on binge drinking depends on the composition of the network. We conclude that social position has important effects on risky drinking behaviour and that the composition of the network may affect these factors. Those developing health promotion strategies could investigate the benefits of targeting central individuals in order to prevent binge drinking among university students. PMID:24622535

  11. Cooperation and Development: a study of case in network cooperation

    Directory of Open Access Journals (Sweden)

    June Alisson Westarb Cruz

    2009-03-01

    Full Text Available The need to develop new surviving strategies and competitive advantage by individuals and organizations make cooperation to obtain complementary competences and potentialities very important, through the insertion of social actors in multiple networks of relationships and interactions.  This research was made in an Association Network of Carrinheiros[1] located in Curitiba and in the coast of Paraná.  The objective of the study was to analyze the structural characteristics of the network and its implications to develop collective actions. The data was collected through questionnaires, interviews, document analysis, and the daily direct observation of the network.  An interaction system between individuals and organizations from various sectors in society could be verified. This interaction stimulates the structured work connected to associations and cooperatives.  Between the actors of the network, concepts and realities are different, as well as individual objectives are distinct.  However, they converge to a common general objective that establish a common base for collaborative work.

  12. A dynamic network approach for the study of human phenotypes.

    Directory of Open Access Journals (Sweden)

    César A Hidalgo

    2009-04-01

    Full Text Available The use of networks to integrate different genetic, proteomic, and metabolic datasets has been proposed as a viable path toward elucidating the origins of specific diseases. Here we introduce a new phenotypic database summarizing correlations obtained from the disease history of more than 30 million patients in a Phenotypic Disease Network (PDN. We present evidence that the structure of the PDN is relevant to the understanding of illness progression by showing that (1 patients develop diseases close in the network to those they already have; (2 the progression of disease along the links of the network is different for patients of different genders and ethnicities; (3 patients diagnosed with diseases which are more highly connected in the PDN tend to die sooner than those affected by less connected diseases; and (4 diseases that tend to be preceded by others in the PDN tend to be more connected than diseases that precede other illnesses, and are associated with higher degrees of mortality. Our findings show that disease progression can be represented and studied using network methods, offering the potential to enhance our understanding of the origin and evolution of human diseases. The dataset introduced here, released concurrently with this publication, represents the largest relational phenotypic resource publicly available to the research community.

  13. A holistic approach to study the effects of natural antioxidants on inflammation and liver cancer.

    Science.gov (United States)

    Costantini, Susan; Colonna, Giovanni; Castello, Giuseppe

    2014-01-01

    The limited effectiveness of chemotherapy and the high recurrence rate of cancers highlight the urgent need to identify new molecular targets and to develop new treatments. Numerous epidemiological studies have recently highlighted the existence of an inverse association between fruit and vegetable consumption, natural antioxidants, and cancer risk; in fact, antioxidant intake through diet or supplements of plant origin is strongly recommended for cancer prevention and cure. In general, antioxidants are substances of vegetable, mineral, or animal origin that neutralize free radicals and protect the body from their negative actions on the plasma membrane, proteins, and DNA. Hence, cancer can be prevented by the stimulation of the immune system to destroy cancer cells or to block their proliferation. Since living organisms may be studied as a whole complex system by the "omics sciences" which tend toward understanding and describing the global information of genes, mRNA, proteins, and metabolites, our aim is to use bioinformatics and systems biology to study cytokinome, which plays an important role in the evolution of inflammatory processes and is also a key component in the evolution of cancer, a disease recognized as depending on chronic inflammation and also with the concomitant presence of type 2 diabetes and obesity. On the whole, we define cytokinome as the totality of these proteins and their interactions in and around biological cells. Understanding the complex interaction network of cytokines in patients affected by cancers should be very useful both to follow the evolution of cancer from its early stages and to define innovative therapeutic strategies by using systems biology approaches. In this paper, we review some results of our group in the light of the "omics" logic, and in particular (1) the need for a global approach to study complex systems such as multifactorial cancer and, in particular, hepatocellular carcinoma, (2) the correlation between

  14. Colorectal cancer prevention: Perspectives of key players from social networks in a low-income rural US region

    Science.gov (United States)

    Schoenberg, Nancy E.; Eddens, Kathryn; Jonas, Adam; Snell-Rood, Claire; Studts, Christina R.; Broder-Oldach, Benjamin; Katz, Mira L.

    2016-01-01

    Social networks influence health behavior and health status. Within social networks, “key players” often influence those around them, particularly in traditionally underserved areas like the Appalachian region in the USA. From a total sample of 787 Appalachian residents, we identified and interviewed 10 key players in complex networks, asking them what comprises a key player, their role in their network and community, and ideas to overcome and increase colorectal cancer (CRC) screening. Key players emphasized their communication skills, resourcefulness, and special occupational and educational status in the community. Barriers to CRC screening included negative perceptions of the colonoscopy screening procedure, discomfort with the medical system, and misinformed perspectives on screening. Ideas to improve screening focused on increasing awareness of women's susceptibility to CRC, providing information on different screening tests, improving access, and the key role of health-care providers and key players themselves. We provide recommendations to leverage these vital community resources. PMID:26905402

  15. Chapter 8. Tea and Cancer Prevention: Epidemiological Studies

    OpenAIRE

    Yuan, Jian-Min; Sun, Canlan; Butler, Lesley M.

    2011-01-01

    Experimental studies have consistently shown the inhibitory activities of tea extracts on tumorigenesis in multiple model systems. Epidemiologic studies, however, have produced inconclusive results in humans. A comprehensive review was conducted to assess the current knowledge on tea consumption and risk of cancers in humans. In general, consumption of black tea was not associated with lower risk of cancer. High intake of green tea was consistently associated with reduced risk of upper gastro...

  16. A social media approach to inform youth about breast cancer and smoking: an exploratory descriptive study.

    Science.gov (United States)

    Bottorff, Joan L; Struik, Laura L; Bissell, Laura J L; Graham, Raquel; Stevens, Jodie; Richardson, Chris G

    2014-01-01

    Tobacco exposure during periods of breast development has been shown to increase risk of premenopausal breast cancer. An urgent need exists, therefore, to raise awareness among adolescent girls about this new evidence, and for adolescent girls and boys who smoke to understand how their smoking puts their female peers at risk for breast cancer. The purpose of this study was to develop two youth-informed, gender specific YouTube-style videos designed to raise awareness among adolescent girls and boys about tobacco exposure as a modifiable risk factor for breast cancer and to assess youths' responses to the videos and their potential for inclusion on social media platforms. Both videos consisted of a combination of moving text, novel images, animations, and youth-friendly music. A brief questionnaire was used to gather feedback on two videos using a convenience sample of 135 youth in British Columbia, Canada. The overall positive responses by girls and boys to their respective videos and their reported interest in sharing these videos via social networking suggests that this approach holds potential for other types of health promotion messaging targeting youth. The videos offer a promising messaging strategy for raising awareness about tobacco exposure as a modifiable risk factor for breast cancer. Tailored, gender-specific messages for use on social media hold the potential for cost-effective, health promotion and cancer prevention initiatives targeting youth. PMID:25109215

  17. Better exercise adherence after treatment for cancer (BEAT Cancer) study: Rationale, design, and methods

    OpenAIRE

    Rogers, Laura Q; McAuley, Edward; Anton, Philip M.; Courneya, Kerry S; Vicari, Sandra; Hopkins-Price, Patricia; Verhulst, Steven; Mocharnuk, Robert; Hoelzer, Karen

    2011-01-01

    Most breast cancer survivors do not engage in regular physical activity. Our physical activity behavior change intervention for breast cancer survivors significantly improved physical activity and health outcomes post-intervention during a pilot, feasibility study. Testing in additional sites with a larger sample and longer follow-up is warranted to confirm program effectiveness short and longer term. Importantly, the pilot intervention resulted in changes in physical activity and social cogn...

  18. Systemic therapy for breast cancer and risk of subsequent contralateral breast cancer in the WECARE Study

    OpenAIRE

    Langballe, Rikke; Mellemkjær, Lene; Malone, Kathleen E.; Lynch, Charles F.; John, Esther M.; Julia A. Knight; Bernstein, Leslie; Brooks, Jennifer; Andersson, Michael; Reiner, Anne S.; Liang, Xiaolin; Woods, Meghan; Concannon, Patrick J.; ,; Bernstein, Jonine L.

    2016-01-01

    Background Treatment with tamoxifen or chemotherapy reduces the risk of contralateral breast cancer (CBC). However, it is uncertain how long the protection lasts and whether the protective effect is modified by patient, tumor, or treatment characteristics. Methods The population-based WECARE Study included 1521 cases with CBC and 2212 age- and year of first diagnosis-matched controls with unilateral breast cancer recruited during two phases in the USA, Canada, and Denmark. Women were diagnose...

  19. Ethnic group and survival from childhood cancer: report from the UK Children's Cancer Study Group

    OpenAIRE

    Stiller, C A; Bunch, K. J.; Lewis, I. J.

    2000-01-01

    Survival following cancer was analysed in relation to ethnic group among children diagnosed in Britain during 1981–1996 and treated at paediatric oncology centres by members of the UK Children's Cancer Study Group. Survival was analysed for 11 diagnostic groups: acute lymphoblastic leukaemia (ALL), acute non-lymphocytic leukaemia, Hodgkin's disease, non-Hodgkin's lymphoma, astrocytoma, primitive neuroectodermal tumour, neuroblastoma, Wilms' tumour, osteosarcoma, Ewing's sarcoma and rhabdomyos...

  20. Providing supportive care to cancer patients: a study on inter-organizational relationships

    Directory of Open Access Journals (Sweden)

    Kevin Brazil

    2008-02-01

    Full Text Available Background: Supportive cancer care (SCC has historically been provided by organizations that work independently and possess limited inter-organizational coordination. Despite the recognition that SCC services must be better coordinated, little research has been done to examine inter-organizational relationships that would enable this goal. Objective: The purpose of this study was to describe relationships among programs that support those affected by cancer. Through this description the study objective was to identify the optimal approach to coordinating SCC in the community. Methods: Senior administrators in programs that provided care to persons and their families living with or affected by cancer participated in a personal interview. Setting: South-central Ontario, Canada. Study population: administrators from 43 (97% eligible programs consented to participate in the study. Results: Network analysis revealed a diffuse system where centralization was greater in operational than administrative activities. A greater number of provider cliques were present at the operational level than the administrative level. Respondents identified several priorities to improve the coordination of cancer care in the community including: improving standards of care; establishing a regional coordinating body; increasing resources; and improving communication between programs. Conclusion: Our results point to the importance of developing a better understanding on the types of relationships that exist among service programs if effective integrated models of care are to be developed.

  1. Understanding the Breast Cancer Experience of Survivors: a Qualitative Study of African American Women in Rural Eastern North Carolina.

    Science.gov (United States)

    Torres, Essie; Dixon, Crystal; Richman, Alice R

    2016-03-01

    The purpose of this study is to gain an in-depth understanding of African American breast cancer survivors' experiences, barriers and facilitators in accessing breast cancer treatment, and challenges in adherence to follow-up care. We conducted seven focus groups with 32 African American women with breast cancer in three rural counties in eastern North Carolina during August-November 2013. Surveys were also utilized to gather basic demographic and breast health history information. Thematic analysis was performed using the immersion crystallization approach. Several common areas of life affected by breast cancer included faith and support networks, psychosocial well-being, and quality of care issues. Faith in God was an important coping mechanism essential to all women in the study and a critical facilitator in survivorship. Support networks consisted of family, church-family, friends, and co-workers. The concept of fear included the discovery of breast cancer and fear of death, negative side effects of treatment, and social stigma of having breast cancer. Factors that influenced provider-patient relationship were age of provider, perceived lack of empathy, and providers leaving during treatment. Participants also expressed their lack of knowledge regarding a number of the side effects they were experiencing during and after their treatment. Results of this study contribute to the assessment of potential coping mechanisms used by African American breast cancer survivors (i.e., spirituality, positive attitudes, and support networks) that can potentially be effective and have a positive impact on the adjustment of life for survivors. PMID:25877467

  2. Magnetic resonance spectroscopy in the study of esophageal cancer

    International Nuclear Information System (INIS)

    Esophageal cancer is one of the most common reasons of human death, the prognosis is closely related to the diagnosed stages. Early esophageal cancer usually has a better prognosis, while the middle -advanced stage has a poor five-year survival rate. The early diagnosis of esophageal cancer is important. In the recent years, magnetic resonance technology develops very fast the magnetic resonance spectroscopy (MRS) can be used to study the biochemistry and physiology of tumors or tissue in vivo by detecting several trace metabolites, energy metabolism and quantitatively analysing the compounds changes. Most studies focused on specimens or secretions in vivo or m vitro experiments in the literatures. We summarized the MRS studies on esophageal cancer in this article. (authors)

  3. The impact of a new acute oncology service in acute hospitals: experience from the Clatterbridge Cancer Centre and Merseyside and Cheshire Cancer Network.

    Science.gov (United States)

    Neville-Webbe, H L; Carser, J E; Wong, H; Andrews, J; Poulter, T; Smith, R; Marshall, E

    2013-12-01

    The 2008 National Confidential Enquiry into Patient Outcomes and Death highlighted an urgent need to improve the quality, safety and efficiency of care for cancer patients following emergency presentation to acute general hospitals. A network-wide acute oncology service (AOS) was therefore commissioned and implemented on the basis of recommendations from the National Chemotherapy Advisory Group (NCAG). Through a continuous programme of raising awareness regarding both the role of the AOS and the necessity of early patient referral to acute oncology teams, we have been able to establish an AOS across all acute trusts in our cancer network. The network-wide AOS has improved communication across clinical teams, enabled rapid review of over 3,000 patients by oncology staff, reduced hospital stay, increased understanding of oncology emergencies and their treatment, and enhanced pathways for rapid diagnosis and appropriate referrals for patients presenting with malignancy of undefined origin (MUO). These achievements have been made by developing a network protocol book for managing common oncology emergencies, by introducing local pathways for managing MUO and by collaborating with palliative care teams to introduce local acute oncology (AO) multi-disciplinary team (MDT) meetings. PMID:24298102

  4. A Meta-Analysis of the Accuracy of Prostate Cancer Studies Which Use Magnetic Resonance Spectroscopy as a Diagnostic Tool

    OpenAIRE

    WANG, PENG; Guo, You-Min; Min LIU; Qiang, Yong-qian; Guo, Xiao-juan; Zhang, Yi-li; Duan, Xiao-Yi; Zhang, Qiu-Juan; Liang, Weifeng

    2008-01-01

    Objective We aimed to do a meta-analysis of the existing literature to assess the accuracy of prostate cancer studies which use magnetic resonance spectroscopy (MRS) as a diagnostic tool. Materials and Methods Prospectively, independent, blind studies were selected from the Cochrane library, Pubmed, and other network databases. The criteria for inclusion and exclusion in this study referenced the criteria of diagnostic research published by the Cochrane center. The statistical analysis was ad...

  5. Association study of prostate cancer susceptibility variants with risks of invasive ovarian, breast, and colorectal cancer

    DEFF Research Database (Denmark)

    Song, H.; Koessler, T.; Ahmed, S.; Ramus, S.J.; Kjaer, S.K.; DiCioccio, R.A.; Wozniak, E.; Whittemore, A.S.; McGuire, V.; Ponder, B.A.; Turnbull, C.; Hines, S.; Rahman, N.; Eeles, R.A.; Easton, D.F.; Gayther, S.A.; Dunning, A.M.; Pharoah, P.D.; Høgdall, Estrid Vilma Solyom

    2008-01-01

    Several prostate cancer susceptibility loci have recently been identified by genome-wide association studies. These loci are candidates for susceptibility to other epithelial cancers. The aim of this study was to test these tag single nucleotide polymorphisms (SNP) for association with invasive...... ovarian, colorectal, and breast cancer. Twelve prostate cancer-associated tag SNPs were genotyped in ovarian (2,087 cases/3,491 controls), colorectal (2,148 cases/2,265 controls) and breast (first set, 4,339 cases/4,552 controls; second set, 3,800 cases/3,995 controls) case-control studies. The primary...... cancer [per minor allele OR, 1.19; 95% confidence interval (95% CI), 1.04-1.37; P(trend) = 0.012]. This association was stronger for the serous histologic subtype (OR, 1.29; 95% CI, 1.09-1.53; P = 0.003). SNP rs7931342 (chromosome 11q13) showed some evidence of association with breast cancer (per minor...

  6. Epidemiologic study on penile cancer in Brazil

    Directory of Open Access Journals (Sweden)

    Luciano A. Favorito

    2008-10-01

    Full Text Available OBJECTIVES: To assess epidemiologic characteristics of penile cancer in Brazil. MATERIALS AND METHODS: From May 2006 to June 2007, a questionnaire was distributed to all Brazilian urologists. Their patients' clinical and epidemiological data was analyzed (age, race, place of residence, history of sexually transmitted diseases, tobacco smoking, performance of circumcision, type of hospital service, as well as the time between the appearance of the symptoms and the diagnosis, the pathological characteristics of the tumor (histological type, degree, localization and size of lesion, stage of disease, the type of treatment performed and the present state of the patient. RESULTS: 283 new cases of penile cancer in Brazil were recorded. The majority of these cases occurred in the north and northeast (53.02% and southeast (45.54% regions. The majority of patients (224, or 78.96% were more than 46 years of age while only 21 patients (7.41% were less than 35 years of age. Of the 283 patients presenting penile cancer, 171 (60.42% had phimosis with the consequent impossibility to expose the glans. A prior medical history positive for HPV infection was reported in 18 of the 283 cases (6.36%. In 101 patients (35.68% tobacco smoking was reported. The vast majority of the cases (n = 207; 73.14% presented with tumors localized in the glans and prepuce. In 48 cases (16.96% the tumor affected the glans, the prepuce and the corpus penis; in 28 cases (9.89% the tumor affected the entire penis. The majority of the patients (n = 123; 75.26% presented with T1 or T2; only 9 patients (3.18% presented with T4 disease. CONCLUSION: Penile cancer is a very frequent pathology in Brazil, predominantly affecting low income, white, uncircumcised patients, living in the north and northeast regions of the country.

  7. Thyroid cancer : studies on etiology and prognosis

    OpenAIRE

    Hallquist, Arne

    1994-01-01

    Thyroid cancer constitutes about 1% of all malignant tumours and the incidence is increasing in Sweden. It is rare in children before the age of 10. During puberty the female to male ratio increases to be two to three times more common in females. The ratio remains constant until menopause and thereafter declines. The etiology of this gender-dependent incidence difference is unclear. Ionizing radiation is the only well-established risk factor for the disease, while the impact of other etiolog...

  8. Interpretation of lung cancer study outcomes.

    Science.gov (United States)

    Cortinovis, Diego; Abbate, Marida; Bidoli, Paolo; Pelizzoni, Davide; Canova, Stefania

    2015-11-01

    Lung cancer is the leading cause of cancer death in developed countries. However, in the last few years we observed an important acceleration in drug development due to oncogenic driver tumors discovery. Sharing and putting together preclinical data from benchmark and data from clinical research is the scientific paradigm that allows real breakthrough in clinical practice in this field, but only a few targeted agents are worthy and practice changing. The clinical research and proper use of statistical methodology are the pillars to continue to achieve important goals like improvement of overall survival. A good medical oncologist should be able to critically read a scientific paper and move from the observed outcomes into clinical perspective. Despite clinical improvements, sometimes the union of promising targeted agents and optimistic expectations misrepresent the reality and the value of clinical research. In this article, we try to analyze the meaning of statistical assumptions from clinical trials, especially in lung cancer, through a critical review of the concept of value-based medicine. We also attempt to give the reader some practical tools to weigh scientific value of literature reports. PMID:26716052

  9. Memory Networks in Tinnitus: A Functional Brain Image Study

    OpenAIRE

    Laureano, Maura Regina; Onishi, Ektor Tsuneo; Bressan, Rodrigo Affonseca; Castiglioni, Mario Luiz Vieira; Batista, Ilza Rosa; Reis, Marilia Alves; Garcia, Michele Vargas; de Andrade, Adriana Neves; de Almeida, Roberta Ribeiro; Garrido, Griselda J.; Jackowski, Andrea Parolin

    2014-01-01

    Tinnitus is characterized by the perception of sound in the absence of an external auditory stimulus. The network connectivity of auditory and non-auditory brain structures associated with emotion, memory and attention are functionally altered in debilitating tinnitus. Current studies suggest that tinnitus results from neuroplastic changes in the frontal and limbic temporal regions. The objective of this study was to use Single-Photon Emission Computed Tomography (SPECT) to evaluate changes i...

  10. Blood Vessel Normalization in the Hamster Oral Cancer Model for Experimental Cancer Therapy Studies

    Energy Technology Data Exchange (ETDEWEB)

    Ana J. Molinari; Romina F. Aromando; Maria E. Itoiz; Marcela A. Garabalino; Andrea Monti Hughes; Elisa M. Heber; Emiliano C. C. Pozzi; David W. Nigg; Veronica A. Trivillin; Amanda E. Schwint

    2012-07-01

    Normalization of tumor blood vessels improves drug and oxygen delivery to cancer cells. The aim of this study was to develop a technique to normalize blood vessels in the hamster cheek pouch model of oral cancer. Materials and Methods: Tumor-bearing hamsters were treated with thalidomide and were compared with controls. Results: Twenty eight hours after treatment with thalidomide, the blood vessels of premalignant tissue observable in vivo became narrower and less tortuous than those of controls; Evans Blue Dye extravasation in tumor was significantly reduced (indicating a reduction in aberrant tumor vascular hyperpermeability that compromises blood flow), and tumor blood vessel morphology in histological sections, labeled for Factor VIII, revealed a significant reduction in compressive forces. These findings indicated blood vessel normalization with a window of 48 h. Conclusion: The technique developed herein has rendered the hamster oral cancer model amenable to research, with the potential benefit of vascular normalization in head and neck cancer therapy.

  11. The Heritability of Prostate Cancer in the Nordic Twin Study of Cancer

    DEFF Research Database (Denmark)

    Hjelmborg, Jacob B; Scheike, Thomas; Holst, Klaus;

    2014-01-01

    ,680 monozygotic and 30,054 dizygotic same sex male twin pairs. We incorporated time-to-event analyses to estimate the risk concordance and heritability while accounting for censoring and competing risks of death, essential sources of biases that have not been accounted for in previous twin studies modeling cancer...... risk and liability. Results: The cumulative risk of prostate cancer was similar to that of the background population. The cumulative risk for twins whose co-twin was diagnosed with prostate cancer was greater for MZ than for DZ twins across all ages. Among concordantly affected pairs, the time between...... diagnoses was significantly shorter for MZ than DZ pairs (median 3.8 versus 6.5 years, respectively). Genetic differences contributed substantially to variation in both the risk and the liability (heritability=58% (95% CI 52%-63%) of developing prostate cancer. The relative contribution of genetic factors...

  12. Texture Classification using Artificial Neural Network for Diagnosis of Skin Cancer

    Directory of Open Access Journals (Sweden)

    Dalia N. Abdul-Wadood

    2014-07-01

    Full Text Available This paper attempts to improve the efficiency of the system that proposed in [1] to determine whether a given skin lesion microscopic image is malignant or benign; in case of malignancy, the system can specify its type; whether it is squamous cell carcinoma or basal cell carcinoma (the two leading skin cancer types. The testing of this system was conducted using 80 microscopic images of skin tissues of the types normal, benign and the two types of skin cancer (squamous and basal; the images have been collected from different hospital pathology departments as part of the research work. Some of the collected samples have been used as training and others as testing materials. The proposed system consists of 3 main steps. First, extraction of a set of textural descriptors to localize the abnormal visual attributes which may appear in the tested skin tissue images. Second, selection of the best discriminating texture features. Third, identify the type of skin tissue images using artificial neural network (ANN. In the training phase, the system was trained using 50 skin tissue images, the textural features extracted from training samples were analyzed and their discrimination powers were evaluated in order to get a list of the most suitable features for auto recognition task. When ANN is trained on co-occurrence features the attained allocation accuracy rates was (%97.71 and the diagnosis accuracy rate was (%98.75. While when using ANN with combinations of different types of textural features; the allocation accuracy rate reached to (%97.90 while the diagnosis accuracy rate became (%98.75

  13. Study of breast cancer incidence in patients of lymphangioleiomyomatosis.

    Science.gov (United States)

    Nuñez, Olivier; Román, Antonio; Johnson, Simon R; Inoue, Yoshikazu; Hirose, Masaki; Casanova, Álvaro; de Garibay, Gorka Ruiz; Herranz, Carmen; Bueno-Moreno, Gema; Boni, Jacopo; Mateo, Francesca; Petit, Anna; Climent, Fina; Soler, Teresa; Vidal, August; Sánchez-Mut, José Vicente; Esteller, Manel; López, José Ignacio; García, Nadia; Gumà, Anna; Ortega, Raúl; Plà, María Jesús; Campos, Miriam; Ansótegui, Emilio; Molina-Molina, María; Valenzuela, Claudia; Ussetti, Piedad; Laporta, Rosalía; Ancochea, Julio; Xaubet, Antoni; Pollán, Marina; Pujana, Miguel Angel

    2016-02-01

    Molecular evidence has linked the pathophysiology of lymphangioleiomyomatosis (LAM) to that of metastatic breast cancer. Following on this observation, we assessed the association between LAM and subsequent breast cancer. An epidemiological study was carried out using three LAM country cohorts, from Japan, Spain, and the United Kingdom. The number of incident breast cancer cases observed in these cohorts was compared with the number expected on the basis of the country-specific incidence rates for the period 2000-2014. Immunohistochemical studies and exome sequence analysis were performed in two and one tumors, respectively. All cohorts revealed breast cancer standardized incidence ratios (SIRs) ≥ 2.25. The combined analysis of all cases or restricted to pre-menopausal age groups revealed significantly higher incidence of breast cancer: SIR = 2.81, 95 % confidence interval (CI) = 1.32-5.57, P = 0.009; and SIR = 4.88, 95 % CI = 2.29-9.99, P = 0.0007, respectively. Immunohistochemical analyses showed positivity for known markers of lung metastatic potential. This study suggests the existence of increased breast cancer risk among LAM patients. Prospective studies may be warranted to corroborate this result, which may be particularly relevant for pre-menopausal women with LAM. PMID:26951504

  14. Global characterization of signalling networks associated with tamoxifen resistance in breast cancer

    DEFF Research Database (Denmark)

    Browne, Brigid C.; Hochgräfe, Falko; Wu, Jianmin;

    2013-01-01

    Acquired resistance to the anti‐estrogen tamoxifen remains a significant challenge in breast cancer management. In this study, we used an integrative approach to characterize global protein expression and tyrosine phosphorylation events in tamoxifen‐resistant MCF7 breast cancer cells (Tam...... perturbed in TamR cells, together with pathways enriched for proteins associated with growth factor, cell–cell and cell matrix‐initiated signalling. Consistent with known roles for Ras/MAPK and PI3‐kinase signalling in tamoxifen resistance, tyrosine‐phosphorylated MAPK1, SHC1 and PIK3R2 were elevated in Tam...... molecular alterations associated with the tamoxifen‐resistant phenotype, and identify MARCKS as a potential biomarker of therapeutic responsiveness that may assist in stratification of patients for optimal therapy....

  15. Computer and Network Relational Study for Building the National Bibliographic Information Network (NBINet in Taiwan

    Directory of Open Access Journals (Sweden)

    Chih-Ching Emily Yang

    1998-12-01

    Full Text Available The National Bibliographic Information Network (NBINet is a bibliographic database established on October 30, 1991 and maintained by Taiwan's National Library (National Central Library. Initially, the database included 18 member libraries (16 from national universities and 2 from the public libraries. In 1998, there are 26 member libraries and 70 non-member libraries joined the NBINet. This NBINet has been considered a comprehensive and important database for Chinese studies worldwide and offered more than 1.6 million entries of bibliography records on June 1997. This paper consists three perspectives of NBINet : (1 NBINet's problems and solutions in relation to computerization and the Internet, (2 its connection with Taiwan Academic Network (TANet and Internet, (3 and users' expectation toward NBINet. Hopefully, this kind of the experience for establishing a bibliographic database can be used as a reference for others who may want 10 build up a similier database. [Article content in Chinese

  16. Eurocan plus report: feasibility study for coordination of national cancer research activities.

    Science.gov (United States)

    2008-01-01

    The EUROCAN+PLUS Project, called for by the European Parliament, was launched in October 2005 as a feasibility study for coordination of national cancer research activities in Europe. Over the course of the next two years, the Project process organized over 60 large meetings and countless smaller meetings that gathered in total over a thousand people, the largest Europe-wide consultation ever conducted in the field of cancer research.Despite a strong tradition in biomedical science in Europe, fragmentation and lack of sustainability remain formidable challenges for implementing innovative cancer research and cancer care improvement. There is an enormous duplication of research effort in the Member States, which wastes time, wastes money and severely limits the total intellectual concentration on the wide cancer problem. There is a striking lack of communication between some of the biggest actors on the European scene, and there are palpable tensions between funders and those researchers seeking funds.It is essential to include the patients' voice in the establishment of priority areas in cancer research at the present time. The necessity to have dialogue between funders and scientists to establish the best mechanisms to meet the needs of the entire community is evident. A top priority should be the development of translational research (in its widest form), leading to the development of effective and innovative cancer treatments and preventive strategies. Translational research ranges from bench-to-bedside innovative cancer therapies and extends to include bringing about changes in population behaviours when a risk factor is established.The EUROCAN+PLUS Project recommends the creation of a small, permanent and independent European Cancer Initiative (ECI). This should be a model structure and was widely supported at both General Assemblies of the project. The ECI should assume responsibility for stimulating innovative cancer research and facilitating processes

  17. Isoliquiritigenin induces growth inhibition and apoptosis through downregulating arachidonic acid metabolic network and the deactivation of PI3K/Akt in human breast cancer

    Energy Technology Data Exchange (ETDEWEB)

    Li, Ying; Zhao, Haixia [Department of Pharmacology, School of Medicine, Wuhan University, Wuhan 430071 (China); Wang, Yuzhong [Key Laboratory for Oral Biomedical Engineering of Ministry of Education, School and Hospital of Stomatology, Wuhan University, Wuhan 430079 (China); Zheng, Hao; Yu, Wei; Chai, Hongyan [Department of Pharmacology, School of Medicine, Wuhan University, Wuhan 430071 (China); Zhang, Jing [Animal Experimental Center of Wuhan University, Wuhan 430071 (China); Falck, John R. [Department of Biochemistry, University of Texas Southwestern Medical Center, Dallas, TX 75390,USA (United States); Guo, Austin M. [Department of Pharmacology, School of Medicine, Wuhan University, Wuhan 430071 (China); Department of Pharmacology, New York Medical College, Valhalla, NY 10595 (United States); Yue, Jiang; Peng, Renxiu [Department of Pharmacology, School of Medicine, Wuhan University, Wuhan 430071 (China); Yang, Jing, E-mail: yangjingliu2013@163.com [Department of Pharmacology, School of Medicine, Wuhan University, Wuhan 430071 (China); Research Center of Food and Drug Evaluation, Wuhan University, Wuhan 430071 (China)

    2013-10-01

    network and the deactivation of PI3K/Akt in human breast cancer. - Highlights: • Isoliquiritigenin induces growth inhibition and apoptosis in human breast cancer. • The proapoptotic action of isoliquiritigenin has been studied in vitro and in vivo. • Arachidonic acid metabolic network mediates isoliquiritigenin-induced apoptosis. • PI3K/Akt deactivation is asssociated with isoliquiritigenin-induced apoptosis. • Isoliquiritigenin may be a multi-target drug in the treatment of breast cancer.

  18. Isoliquiritigenin induces growth inhibition and apoptosis through downregulating arachidonic acid metabolic network and the deactivation of PI3K/Akt in human breast cancer

    International Nuclear Information System (INIS)

    . - Highlights: • Isoliquiritigenin induces growth inhibition and apoptosis in human breast cancer. • The proapoptotic action of isoliquiritigenin has been studied in vitro and in vivo. • Arachidonic acid metabolic network mediates isoliquiritigenin-induced apoptosis. • PI3K/Akt deactivation is asssociated with isoliquiritigenin-induced apoptosis. • Isoliquiritigenin may be a multi-target drug in the treatment of breast cancer

  19. Racial Variation in the Cancer Caregiving Experience: A Multi-Site Study of Colorectal and Lung Cancer Caregivers

    OpenAIRE

    Martin, MY; Sanders, S.; Griffin, JM; Oster, RA; Ritchie, C; Phelan, SM; Atienza, AA; Kahn, K; van Ryn, M

    2012-01-01

    BACKGROUND: As cancer care shifts from hospital to outpatient settings, the number of cancer caregivers continues to grow. However, little is known about the cancer caregiving experience. This gap in knowledge is especially evident for racially diverse caregivers. OBJECTIVE: This study, part of a multisite study of care recipients with either lung or colorectal cancer and their caregivers, examined the caregiving experiences of African American (AA) and white caregivers. METHODS: Caregivers w...

  20. trans-Fatty Acid Consumption and its Association with Distal Colorectal Cancer in the North Carolina Colon Cancer Study II

    OpenAIRE

    Vinikoor, Lisa C.; Millikan, Robert C.; Satia, Jessie A.; Schroeder, Jane C.; Martin, Christopher F.; Ibrahim, Joseph G.; Sandler, Robert S.

    2009-01-01

    Recently, the potential health effects of trans-fatty acid consumption have raised concerns. A few studies have examined the risk of colorectal cancer with increasing consumption of trans-fatty acids, but none investigated the risk of rectal cancer, which may have different risk factors than colon cancer. Our objective was to explore the relationship between trans-fatty acid consumption and distal colorectal (sigmoid, rectosigmoid, and rectal) cancer using a case-control study of Whites (n=15...

  1. Biologically based epidemiological studies of electric power and cancer.

    OpenAIRE

    Stevens, R G

    1993-01-01

    As societies industrialize, the health profile of the population changes; in general, acute infectious disease declines and chronic disease increases. Use of electricity is a hallmark of the industrialization process, but there has been no suspicion that electricity could increase the risk of cancer. Recently, however, a number of epidemiologic studies have suggested that electromagnetic fields (EMF) may do just that. Although few cancer experiments have been done yet, there are a number of b...

  2. Cohort Profile: The Skin Cancer After Organ Transplant Study

    OpenAIRE

    Madeleine, Margaret M; Johnson, Lisa G.; Daling, Janet R.; Schwartz, Stephen M.; Carter, Joseph J.; Berg, Daniel; Nelson, Karen; Davis, Connie L.; Galloway, Denise A.

    2012-01-01

    The Skin Cancer after Organ Transplant (SCOT) study was designed to investigate the link between genus beta human papillomavirus (HPV) and squamous cell skin cancer (SCSC). We focused on a population receiving immunosuppressive therapy for extended periods, transplant patients, as they are at extremely high risk for developing SCSC. Two complementary projects were conducted in the Seattle area: (i) a retrospective cohort with interview data from 2004 recipients of renal or cardiac transplants...

  3. Spatial Analysis of Childhood Cancer: A Case/Control Study

    OpenAIRE

    Rebeca Ramis; Diana Gómez-Barroso; Ibon Tamayo; Javier García-Pérez; Antonio Morales; Elena Pardo Romaguera; Gonzalo López-Abente

    2015-01-01

    Background Childhood cancer was the leading cause of death among children aged 1-14 years for 2012 in Spain. Leukemia has the highest incidence, followed by tumors of the central nervous system (CNS) and lymphomas (Hodgkin lymphoma, HL, and Non-Hodgkin’s lymphoma, NHL). Spatial distribution of childhood cancer cases has been under concern with the aim of identifying potential risk factors. Objective The two objectives are to study overall spatial clustering and cluster detection of cases of t...

  4. Study of matrix metalloproteinases and their inhibitors in prostate cancer

    OpenAIRE

    Escaf Barmadah, Safwan; Fernández Gómez, Jesús María; González Vázquez, Luis Ovidio; Suárez, Aurelio; González Reyes, María Salomé; López Picazo González, José María; Vizoso Piñeiro, Francisco José

    2010-01-01

    Background: Extracellular matrix metalloproteases (MMPs) have raised an extraordinary interest in cancer research because of their potential role in basal membrane and extracellular matrix degradation, consequently facilitating tumour invasion and metastases development. Methods: An immunohistochemical study was performed using tissue arrays and specific antibodies against MMPs 1, 2, 7, 9, 11, 13, 14, and their tissue inhibitors, TIMPs 1, 2 and 3. More than 2600 determinations on cancer speci...

  5. Association between cancer and contact allergy: a linkage study

    OpenAIRE

    Engkilde, Kaare; Thyssen, Jacob P; Menné, Torkil; Johansen, Jeanne D.

    2011-01-01

    Background Contact allergy is a prevalent disorder. It is estimated that about 20% of the general population are allergic to one or more of the chemicals that constitute the European baseline patch test panel. While many studies have investigated associations between type I allergic disorders and cancer, few have looked into the association between cancer and contact allergy, a type IV allergy. By linking two clinical databases, the authors investigate the possible association between contact...

  6. Screening and cervical cancer cure: population based cohort study

    OpenAIRE

    Andrae, B.; Andersson, T. M.-L.; Lambert, P C; Kemetli, L.; Silfverdal, L.; Strander, B.; Ryd, W; Dillner, J; Tornberg, S; Sparen, P

    2012-01-01

    Objective To determine whether detection of invasive cervical cancer by screening results in better prognosis or merely increases the lead time until death. Design Nationwide population based cohort study. Setting Sweden. Participants All 1230 women with cervical cancer diagnosed during 1999-2001 in Sweden prospectively followed up for an average of 8.5 years. Main outcome measures Cure proportions and five year relative survival ratios, stratified by screening history, mode of detection, age...

  7. Genetic association- and linkage studies in colorectal cancer

    OpenAIRE

    Holst, Susanna von

    2014-01-01

    Colorectal cancer (CRC) is the third most common cancer type in the Western world. Over one million patients are diagnosed worldwide yearly. A family history of CRC is a major risk factor for CRC. The total genetic contribution to disease development is estimated to be 35%. High-risk syndromes caused by known genes such as familial adenomatous polyposis (FAP) and Lynch Syndrome (LS) explain less than 5% of that number. Recently, several genome-wide association studies (GWAS) ha...

  8. Phase III study by the Norwegian lung cancer study group

    DEFF Research Database (Denmark)

    Grønberg, Bjørn H; Bremnes, Roy M; Fløtten, Oystein; Amundsen, Tore; Brunsvig, Paal Fr; Hjelde, Harald H; Kaasa, Stein; von Plessen, Christian; Stornes, Frøydis; Tollåli, Terje; Wammer, Finn; Aasebø, Ulf; Sundstrøm, Stein

    2009-01-01

    PURPOSE To compare pemetrexed/carboplatin with a standard regimen as first-line therapy in advanced non-small-cell lung cancer NSCLC. PATIENTS AND METHODS Patients with stage IIIB or IV NSCLC and performance status of 0 to 2 were randomly assigned to receive pemetrexed 500 mg/m(2) plus carboplatin......, and fatigue reported on the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30 and the lung cancer-specific module LC13 during the first 20 weeks. Secondary end points were overall survival and toxicity. Results Four hundred thirty-six eligible patients were...

  9. Integrating Structure to Protein-Protein Interaction Networks That Drive Metastasis to Brain and Lung in Breast Cancer

    OpenAIRE

    H Billur Engin; Emre Guney; Ozlem Keskin; Baldo Oliva; Attila Gursoy

    2013-01-01

    Integrating Structure to Protein-Protein Interaction Networks That Drive Metastasis to Brain and Lung in Breast Cancer H. Billur Engin1, Emre Guney2, Ozlem Keskin1, Baldo Oliva2, Attila Gursoy1* 1 Center for Computational Biology and Bioinformatics and College of Engineering, Koc University, Istanbul, Turkey, 2 Structural Bioinformatics Group (GRIB), Universitat Pompeu Fabra Abstract Blocking specific protein interactions can lead to human diseases. Accordingly, protein i...

  10. Integrating structure to protein-protein interaction networks that drive metastasis to brain and lung in breast cancer

    OpenAIRE

    Engin, H Billur; G??ney, Emre, 1983-; Keskin, Ozlem; Oliva Miguel, Baldomero; Gursoy, Attila

    2013-01-01

    Integrating Structure to Protein-Protein Interaction Networks That Drive Metastasis to Brain and Lung in Breast Cancer H. Billur Engin1, Emre Guney2, Ozlem Keskin1, Baldo Oliva2, Attila Gursoy1* 1 Center for Computational Biology and Bioinformatics and College of Engineering, Koc University, Istanbul, Turkey, 2 Structural Bioinformatics Group (GRIB), Universitat Pompeu Fabra Abstract Blocking specific protein interactions can lead to human diseases. Accordingly, protein i...

  11. Rethinking Networks in Education: Case Studies of Organisational Development Networks in Neoliberal Contexts

    Science.gov (United States)

    Townsend, Andrew

    2013-01-01

    In 2002 the National College for School Leadership in England launched what they claimed to be the biggest school networking initiative of its kind. The networks which were members of this programme involved schools working together to achieve shared priorities and can be viewed as examples of organisational development networks. These networks,…

  12. A Study of Bandwidth Measurement Technique in Wireless Mesh Networks

    Directory of Open Access Journals (Sweden)

    Ajeet Kumar Singh

    2011-09-01

    Full Text Available Wireless mesh networks (WMNs have been proposed as a key technology for next generation wireless networking to provide last-mile broadband access. H ere we have given our observation and study for end to-end bandwidth estimation in WMNs. End-to-end Ban dwidth Estimation is an important metric for network management and monitoring. It can also impr ove the effectiveness of congestion control mechanism, audio/video stream adoration and dynamic overlay. In recent years, many techniques have been developed for bandwidth estimation in the wire d as well as the last-hop wireless networks, but th ey under-perform in WMNs. We investigate attributes th at can affect the bandwidth estimation in WNMs; we found existing techniques do not consider the effec t of attributes like CSMA/CA-based contending traff ic and high interference interference that leads to th e error full estimation. In this paper, we present an active bandwidth measu rement technique called Bandwidth Probe based on th e packet dispersion principle. It measures the steady state bandwidth of the system while considering th e effects of the FIFO cross and CSMA/CA-based contend ing traffic. It is also mitigating the effect of interference. We also show how to achieve the stati onary state behaviour of the system to limit the nu mber of probe packets. On simulation, Bandwidth Probe gi ves a accurate estimation of the available bandwidt h using average convergence time and lower intrusiven ess.

  13. On-board processing satellite network architecture and control study

    Science.gov (United States)

    Campanella, S. Joseph; Pontano, Benjamin A.; Chalmers, Harvey

    1987-01-01

    The market for telecommunications services needs to be segmented into user classes having similar transmission requirements and hence similar network architectures. Use of the following transmission architecture was considered: satellite switched TDMA; TDMA up, TDM down; scanning (hopping) beam TDMA; FDMA up, TDM down; satellite switched MF/TDMA; and switching Hub earth stations with double hop transmission. A candidate network architecture will be selected that: comprises multiple access subnetworks optimized for each user; interconnects the subnetworks by means of a baseband processor; and optimizes the marriage of interconnection and access techniques. An overall network control architecture will be provided that will serve the needs of the baseband and satellite switched RF interconnected subnetworks. The results of the studies shall be used to identify elements of network architecture and control that require the greatest degree of technology development to realize an operational system. This will be specified in terms of: requirements of the enabling technology; difference from the current available technology; and estimate of the development requirements needed to achieve an operational system. The results obtained for each of these tasks are presented.

  14. Case-control study of fetal microchimerism and breast cancer.

    Directory of Open Access Journals (Sweden)

    Vijayakrishna K Gadi

    Full Text Available BACKGROUND: Prior pregnancy is known to protect against development of breast cancer. Recent studies have demonstrated that pregnancy has the capacity to establish small numbers of immunologically active fetal-derived cells in the mother, a phenomenon known as fetal microchimerism (FMc. We asked whether presence of FMc, routinely acquired during pregnancy, is a protective factor for breast cancer. METHODOLOGY/PRINCIPAL FINDINGS: DNA extracts from peripheral blood specimens were obtained from a population-based case-control study of risk factors for breast cancer in women 21 to 45 years old. Specimens were tested with quantitative PCR for presence and concentrations of male DNA presumed to derive from prior pregnancies with a male fetus. Odds ratios (OR and 95% confidence intervals (CI were estimated with consideration of multiple established reproductive and environmental risk factors for breast cancer. FMc results were generated on 99 parous women, 54 with primary invasive breast cancer and 45 general population controls. FMc prevalence was 56% (25/45 and 26% (14/54 in controls and cases, respectively. Women harboring FMc were less likely to have had breast cancer (OR = 0.29, 95% CI 0.11-0.83; p = 0.02, adjusting for age, number of children, birth of a son, history of miscarriage, and total DNA tested. In addition, FMc concentrations were higher in controls versus cases (p = 0.01. Median concentrations were 2 (0-78 and 0 (0-374 fetal genomes/10(6 maternal genomes in controls and cases, respectively. CONCLUSIONS: Results suggest that the enigma of why some parous women are not afforded protection from breast cancer by pregnancy might in part be explained by differences in FMc. Mechanistic studies of FMc-derived protection against breast cancer are warranted.

  15. NIH Study Offers Insight into Why Cancer Incidence Increases with Age

    Science.gov (United States)

    ... NIH study offers insight into why cancer incidence increases with age The accumulation of age-associated changes ... of many types of cancer, but why aging increases cancer risk remains unclear. Researchers suspect that DNA ...

  16. Computational study of noise in a large signal transduction network

    Directory of Open Access Journals (Sweden)

    Ruohonen Keijo

    2011-06-01

    Full Text Available Abstract Background Biochemical systems are inherently noisy due to the discrete reaction events that occur in a random manner. Although noise is often perceived as a disturbing factor, the system might actually benefit from it. In order to understand the role of noise better, its quality must be studied in a quantitative manner. Computational analysis and modeling play an essential role in this demanding endeavor. Results We implemented a large nonlinear signal transduction network combining protein kinase C, mitogen-activated protein kinase, phospholipase A2, and β isoform of phospholipase C networks. We simulated the network in 300 different cellular volumes using the exact Gillespie stochastic simulation algorithm and analyzed the results in both the time and frequency domain. In order to perform simulations in a reasonable time, we used modern parallel computing techniques. The analysis revealed that time and frequency domain characteristics depend on the system volume. The simulation results also indicated that there are several kinds of noise processes in the network, all of them representing different kinds of low-frequency fluctuations. In the simulations, the power of noise decreased on all frequencies when the system volume was increased. Conclusions We concluded that basic frequency domain techniques can be applied to the analysis of simulation results produced by the Gillespie stochastic simulation algorithm. This approach is suited not only to the study of fluctuations but also to the study of pure noise processes. Noise seems to have an important role in biochemical systems and its properties can be numerically studied by simulating the reacting system in different cellular volumes. Parallel computing techniques make it possible to run massive simulations in hundreds of volumes and, as a result, accurate statistics can be obtained from computational studies.

  17. External validation of an artificial neural network and two nomograms for prostate cancer detection.

    Science.gov (United States)

    Ecke, Thorsten H; Hallmann, Steffen; Koch, Stefan; Ruttloff, Jürgen; Cammann, Henning; Gerullis, Holger; Miller, Kurt; Stephan, Carsten

    2012-01-01

    Background. Multivariate models are used to increase prostate cancer (PCa) detection rate and to reduce unnecessary biopsies. An external validation of the artificial neural network (ANN) "ProstataClass" (ANN-Charité) was performed with daily routine data. Materials and Methods. The individual ANN predictions were generated with the use of the ANN application for PSA and free PSA assays, which rely on age, tPSA, %fPSA, prostate volume, and DRE (ANN-Charité). Diagnostic validity of tPSA, %fPSA, and the ANN was evaluated by ROC curve analysis and comparisons of observed versus predicted probabilities. Results. Overall, 101 (35.8%) PCa were detected. The areas under the ROC curve (AUCs) were 0.501 for tPSA, 0.669 for %fPSA, 0.694 for ANN-Charité, 0.713 for nomogram I, and 0.742 for nomogram II, showing a significant advantage for nomogram II (P = 0.009) compared with %fPSA while the other model did not differ from %fPSA (P = 0.15 and P = 0.41). All models overestimated the predicted PCa probability. Conclusions. Beside ROC analysis, calibration is an important tool to determine the true value of using a model in clinical practice. The worth of multivariate models is limited when external validations were performed without knowledge of the circumstances of the model's development. PMID:22830050

  18. Artificial neural network-based exploration of gene-nutrient interactions in folate and xenobiotic metabolic pathways that modulate susceptibility to breast cancer.

    Science.gov (United States)

    Naushad, Shaik Mohammad; Janaki Ramaiah, M; Pavithrakumari, Manickam; Jayapriya, Jaganathan; Hussain, Tajamul; Alrokayan, Salman A; Gottumukkala, Suryanarayana Raju; Digumarti, Raghunadharao; Kutala, Vijay Kumar

    2016-04-15

    In the current study, an artificial neural network (ANN)-based breast cancer prediction model was developed from the data of folate and xenobiotic pathway genetic polymorphisms along with the nutritional and demographic variables to investigate how micronutrients modulate susceptibility to breast cancer. The developed ANN model explained 94.2% variability in breast cancer prediction. Fixed effect models of folate (400μg/day) and B12 (6μg/day) showed 33.3% and 11.3% risk reduction, respectively. Multifactor dimensionality reduction analysis showed the following interactions in responders to folate: RFC1 G80A×MTHFR C677T (primary), COMT H108L×CYP1A1 m2 (secondary), MTR A2756G (tertiary). The interactions among responders to B12 were RFC1G80A×cSHMT C1420T and CYP1A1 m2×CYP1A1 m4. ANN simulations revealed that increased folate might restore ER and PR expression and reduce the promoter CpG island methylation of extra cellular superoxide dismutase and BRCA1. Dietary intake of folate appears to confer protection against breast cancer through its modulating effects on ER and PR expression and methylation of EC-SOD and BRCA1. PMID:26784656

  19. A scoring system based on artificial neural network for predicting 10-year survival in stage II A colon cancer patients after radical surgery

    Science.gov (United States)

    Jiang, Wu; Lu, Shi-Xun; Lu, Zhen-Hai; Li, Pei-Xing; Yun, Jing-Ping; Zhang, Rong-Xin; Pan, Zhi-Zhong; Wan, De-Sen

    2016-01-01

    Nearly 20% patients with stage II A colon cancer will develop recurrent disease post-operatively. The present study aims to develop a scoring system based on Artificial Neural Network (ANN) model for predicting 10-year survival outcome. The clinical and molecular data of 117 stage II A colon cancer patients from Sun Yat-sen University Cancer Center were used for training set and test set; poor pathological grading (score 49), reduced expression of TGFBR2 (score 33), over-expression of TGF-β (score 45), MAPK (score 32), pin1 (score 100), β-catenin in tumor tissue (score 50) and reduced expression of TGF-β in normal mucosa (score 22) were selected as the prognostic risk predictors. According to the developed scoring system, the patients were divided into 3 subgroups, which were supposed with higher, moderate and lower risk levels. As a result, for the 3 subgroups, the 10-year overall survival (OS) rates were 16.7%, 62.9% and 100% (P < 0.001); and the 10-year disease free survival (DFS) rates were 16.7%, 61.8% and 98.8% (P < 0.001) respectively. It showed that this scoring system for stage II A colon cancer could help to predict long-term survival and screen out high-risk individuals for more vigorous treatment. PMID:27008710

  20. A simple mechanical system for studying adaptive oscillatory neural networks

    DEFF Research Database (Denmark)

    Jouffroy, Guillaume; Jouffroy, Jerome

    Central Pattern Generators (CPG) are oscillatory systems that are responsible for generating rhythmic patterns at the origin of many biological activities such as for example locomotion or digestion. These systems are generally modelled as recurrent neural networks whose parameters are tuned so...... robots, lamprey model, etc.) might be too complex to study. In this paper, we use a comparatively simple mechanical system, the nonholonomic vehicle referred to as the Roller-Racer, as a means towards testing different learning strategies for an Recurrent Neural Network-based (RNN) controller....../guidance system. After a brief description of the Roller-Racer, we present as a preliminary study an RNN-based feed-forward controller whose parameters are obtained through the well-known teacher forcing learning algorithm, extended to learn signals with a continuous component....

  1. AN EPIDEMIOLOGY AND MOLECULAR GENETIC STUDY ON BREAST CANCER SUSCEPTIBILITY

    Institute of Scientific and Technical Information of China (English)

    贾卫华; 王继先; 李本孝; 李征

    2000-01-01

    Objectives. To investigate the genetic susceptibility for breast cancer of Chinese, a hospital-based case-control study, pedigree survey and molecular genetic study were conducted. Methods. Logistic regression model and stratification methods were used in the risk factors analysis. Li-Mantel art and Falconer methods were used to analyze the segregation ratio and heritability. Polymerase chain reaction (PCR) and polyacrylamide gel electrophoresis were used to detect AI, G-banding technique was used to detect the chromosome aberration of peripheral blood lymphocyte. Results. Family history of breast cancer is related to enhanced breast cancer risk significartly, OR is 3.905 ( 95 % CI = 1.079 ~ 14.13), and it widely interacts with other risk factors. Accumulative incidence of breast cancer in first degree relatives is 9.99%, which is larger than that in second, third degree and non-blood relatives. Segregation ratio is 0.021, heritability among first degree relatives is 35.6 ± 5.8%. Frequencies of LOH at BRCA1 and BRCA2 loci in sporadic breast cancer are 6.12% and 5.77% respectively. In the sibs, both of them show LOH at D13S173 locus, and high frequencies of chromosome aberrations were observed. Conclusions. Genetic susceptibility contributes to breast cancer occurrence of Chinese, and its racial variation may be one of the important reasons for the large difference of incidence between western and eastern countries.

  2. AN EPIDEMIOLOGY AND MOLECULAR GENETIC STUDY ON BREAST CANCER SUSCEPTIBILITY

    Institute of Scientific and Technical Information of China (English)

    贾卫华; 王继先; 李本孝; 李征

    2000-01-01

    Obieaites. To investigate the genetic susceptibility for breast cancer of Chinese, a hospital-besed case-control study, pedigree survey and molecular genetic study were conducted. Methods. Logistic regression model and stratification methods were used in the risk factors analysis. Li-Mantel-Gart and Falconer methods were used to analyze the segregation ratio and heritability. Polymemse chain reaction (PCR) and polyacrylamide gel electrophoresis were used to detect AI, G-banding technique was used to detect the chromosome aberration of peripheral blood lymphocyte. Results. Family history of breast cancer is related to enhanced breast cancer risk significantly, OR is 3.905(95% CI = 1.079—14.13), and it widely interacts with other risk factors. Accumulative incidence of breast cancer in first degree relatives is 9.99%, which is larger than that in second, third degree and non-blnod relatives. Segregation ratio is 0.021, heritability among first degree relatives is 35.6 ± 5.8%. Frequencies of LDH at BRCA1 and BRCA2 loci in sporadic breast cancer are 6.12% and 5.77% respectively. In the sibs, both of them show LOH at D13S173 locus, and high frequencies of chromosome abermtions were observed.Condusions. Genetic susceptibility contributes to breast cancer occurrence of Chinese, and its racial variation may be one of the important reasons for the large difference of incidence between western and eastern countries.

  3. A matter of External or Internal Network Usage? : A study of the network environment of GE Healthcare Life Sciences Uppsala

    OpenAIRE

    Thornton, Laura; Sjöö, Rosanna

    2011-01-01

    Current research has pointed out that a subsidiary ́s external network, constituted by its suppliers and customers at the local market, is very important for the corporation as a whole. In this study we seek to explore if this is the case for a certain Multinational corporation through exploring the usage of its networks. More specifically how the knowledge within its networks sharing contribute to the company’s innovation development process. A number of interviews have been conducted with p...

  4. An experimental study on bandwidth assurance in IP networks

    OpenAIRE

    Cano Baños, María Dolores; Cerdán Cartagena, José Fernando

    2005-01-01

    Inside DiffServ, the Assured Forwarding per hop behavior defines a service that guarantees the contracted target rate to the users and allows consuming more bandwidth if the network load is low. In this paper we perform an experimental study, whose key contribution is that current techniques and commercial equipment do not meet the goals of the AF PHB service in a scalable way.

  5. Studying Network Mechanisms using Intracranial Stimulation in Epileptic Patients

    OpenAIRE

    Olivier David; Julien Bastin; Stéphan Chabardès; Lorella Minotti; Philippe Kahane

    2010-01-01

    Patients suffering from focal drug-resistant epilepsy who are explored using intracranial electrodes allow to obtain data of exceptional value for studying brain dynamics in correlation with pathophysiological and cognitive processes. Direct electrical stimulation (DES) of cortical regions and axonal tracts in those patients elicits a number of very specific perceptual or behavioural responses, but also abnormal responses due to specific configurations of epileptic networks. Here, we review h...

  6. Healthy Lifestyle and Risk of Cancer in the European Prospective Investigation Into Cancer and Nutrition Cohort Study

    DEFF Research Database (Denmark)

    McKenzie, Fiona; Biessy, Carine; Ferrari, Pietro;

    2016-01-01

    It has been estimated that at least a third of the most common cancers are related to lifestyle and as such are preventable. Key modifiable lifestyle factors have been individually associated with cancer risk; however, less is known about the combined effects of these factors.This study generated a...... healthy lifestyle index score (HLIS) to investigate the joint effect of modifiable factors on the risk of overall cancers, alcohol-related cancers, tobacco-related cancers, obesity-related cancers, and reproductive-related cancers. The study included 391,608 men and women from the multinational European...... Prospective Investigation into Cancer and Nutrition (EPIC) cohort. The HLIS was constructed from 5 factors assessed at baseline (diet, physical activity, smoking, alcohol consumption, and anthropometry) by assigning scores of 0 to 4 to categories of each factor, for which higher values indicate healthier...

  7. Neoadjuvant chemotherapy in advanced epithelial ovarian cancer: A survival study

    Directory of Open Access Journals (Sweden)

    Upasana Baruah

    2015-01-01

    Full Text Available Context: Patients with advanced ovarian cancer have a poor prognosis in spite of the best possible care. Primary debulking surgery has been the standard of care in advanced ovarian cancer; however, it is associated with high mortality and morbidity rates as shown in various studies. Several studies have discussed the benefit of neoadjuvant chemotherapy in patients with advanced ovarian cancer. Aims: This study aims to evaluate the survival statistics of the patients who have been managed with interval debulking surgery (IDS from January 2007 to December 2009. Materials and Methods: During the period from January 2007 to December 2009, a retrospective analysis of 104 patients who underwent IDS for stage IIIC or IV advanced epithelial ovarian cancer at our institute were selected for the study. IDS was attempted after three to five courses of chemotherapy with paclitaxal (175 mg/m 2 and carboplatin (5-6 of area under curve. Overall survival (OS and progression free survival (PFS were compared with results of primary debulking study from existing literature. OS and PFS rates were estimated by means of the Kaplan-Meier method. Results were statistically analyzed by IBM SPSS Statistics 19. Results: The median OS was 26 months and the median PFS was 18 months. In multivariate analysis it was found that both OS and PFS was affected by the stage, and extent of debulking. Conclusions: Neoadjuvant chemotherapy, followed by surgical cytoreduction is a promising treatment strategy for the management of advanced epithelial ovarian cancers.

  8. Time intervals from first symptom to treatment of cancer: a cohort study of 2,212 newly diagnosed cancer patients

    DEFF Research Database (Denmark)

    Hansen, Rikke P; Vedsted, Peter; Sokolowski, Ineta; Søndergaard, Jens; Olesen, Frede

    Delay in diagnosis of cancer may worsen prognosis. The aim of this study is to explore patient-, general practitioner (GP)- and system-related delay in the interval from first cancer symptom to diagnosis and treatment, and to analyse the extent to which delays differ by cancer type....

  9. Radiotherapy and subsequent thyroid cancer in German childhood cancer survivors: a nested case–control study

    International Nuclear Information System (INIS)

    Radiotherapy is associated with a risk of subsequent neoplasms (SN) in childhood cancer survivors. It has been shown that children’s thyroid glands are especially susceptible. The aim is to quantify the risk of a second neck neoplasm after primary cancer radiotherapy with emphasis on thyroid cancer. We performed a nested case–control study: 29 individuals, diagnosed with a solid SN in the neck region, including 17 with thyroid cancer, in 1980–2002 and 57 matched controls with single neoplasms were selected from the database of the German Childhood Cancer Registry. We investigated the risk associated with radiotherapy exposure given per body region, adjusted for chemotherapy. 16/17 (94.1 %) thyroid SN cases, 9/12 (75 %) other neck SN cases and 34/57 (59.6 %) controls received radiotherapy, with median doses of 27.8, 25 and 24 Gy, respectively. Radiotherapy exposure to the neck region increased the risk of the other neck SNs by 4.2 % (OR = 1.042/Gy (95 %-CI 0.980-1.109)) and of thyroid SN by 5.1 % (OR = 1.051/Gy (95 %-CI 0.984-1.123)), and radiotherapy to the neck or spine region increased the thyroid risk by 6.6 % (OR = 1.066/Gy (95 %-CI 1.010-1.125)). Chemotherapy was not a confounder. Exposure to other body regions was not associated with increased risk. Radiotherapy in the neck or spine region increases the risk of thyroid cancer, while neck exposure increases the risk of any other solid SN to a similar extent. Other studies showed a decreasing risk of subsequent thyroid cancer for very high doses; we cannot confirm this

  10. Parental Exposure to Pesticides and Childhood Brain Cancer: U.S. Atlantic Coast Childhood Brain Cancer Study

    OpenAIRE

    Shim, Youn K.; Mlynarek, Steven P.; van Wijngaarden, Edwin

    2009-01-01

    Background The etiology of childhood brain cancer remains largely unknown. However, previous studies have yielded suggestive associations with parental pesticide use. Objectives We aimed to evaluate parental exposure to pesticides at home and on the job in relation to the occurrence of brain cancer in children. Methods We included 526 one-to-one–matched case–control pairs. Brain cancer cases were diagnosed at < 10 years of age, and were identified from statewide cancer registries of four U.S....

  11. Serum estrogen levels and prostate cancer risk in the prostate cancer prevention trial: a nested case–control study

    OpenAIRE

    Yao, Song; Till, Cathee; Kristal, Alan R.; Goodman, Phyllis J.; Hsing, Ann W.; Tangen, Catherine M.; Platz, Elizabeth A.; Stanczyk, Frank Z.; Reichardt, Juergen K. V.; Tang, Li; Neuhouser, Marian L; Santella, Regina M.; William D Figg; Price, Douglas K.; Parnes, Howard L.

    2011-01-01

    Objective Finasteride reduces prostate cancer risk by blocking the conversion of testosterone to dihydrotestosterone. However, whether finasteride affects estrogens levels or change in estrogens affects prostate cancer risk is unknown. Methods These questions were investigated in a case–control study nested within the prostate cancer prevention trial (PCPT) with 1,798 biopsy-proven prostate cancer cases and 1,798 matched controls. Results Among men on placebo, no relationship of serum estroge...

  12. Role of microRNAs in cancers of the female reproductive tract: insights from recent clinical and experimental discovery studies.

    Science.gov (United States)

    Logan, Monica; Hawkins, Shannon M

    2015-02-01

    microRNAs (miRNAs) are small RNA molecules that represent the top of the pyramid of many tumorigenesis cascade pathways as they have the ability to affect multiple, intricate, and still undiscovered downstream targets. Understanding how miRNA molecules serve as master regulators in these important networks involved in cancer initiation and progression open up significant innovative areas for therapy and diagnosis that have been sadly lacking for deadly female reproductive tract cancers. This review will highlight the recent advances in the field of miRNAs in epithelial ovarian cancer, endometrioid endometrial cancer and squamous-cell cervical carcinoma focusing on studies associated with actual clinical information in humans. Importantly, recent miRNA profiling studies have included well-characterized clinical specimens of female reproductive tract cancers, allowing for studies correlating miRNA expression with clinical outcomes. This review will summarize the current thoughts on the role of miRNA processing in unique miRNA species present in these cancers. In addition, this review will focus on current data regarding miRNA molecules as unique biomarkers associated with clinically significant outcomes such as overall survival and chemotherapy resistance. We will also discuss why specific miRNA molecules are not recapitulated across multiple studies of the same cancer type. Although the mechanistic contributions of miRNA molecules to these clinical phenomena have been confirmed using in vitro and pre-clinical mouse model systems, these studies are truly only the beginning of our understanding of the roles miRNAs play in cancers of the female reproductive tract. This review will also highlight useful areas for future research regarding miRNAs as therapeutic targets in cancers of the female reproductive tract. PMID:25294164

  13. Radon and lung cancer: an epidemiological study in Norway

    International Nuclear Information System (INIS)

    The objectives and strategy of an epidemiological study on the effects of exposure to radon in Norwegian dwellings is presented. The study is a cooperation between the National Institute of Radiation Hygiene and the Norwegian Cancer Registry in Norway and the National Radiological Protection Board of the United Kingdom, with funding by the Norwegian Cancer Society. Measurements of radon are being made in 10,000 dwellings representing all Norwegian municipalities. The potential for detecting an effect of radon exposure by such a study in Norway is unique because: (1) Radon concentrations are high and there are large regional variations. (2) Data from the Norwegian Cancer Registry is of high quality: all cancers have been subject to compulsory reporting since 1955. These data can be broken down according to municipality, sex and age. (3) In 1964/1965 a large scale survey of smoking habits was carried out in Norway. These data can also be broken down according to municipality, sex and age, and by types of smoking and smoking rate. It is intended to examine the correlation between lung cancer incidence and geographical variation in radon levels after making allowance for smoking habits. Radon measurements were started in early 1987 and the results of the study are expected to be published in 1989. (author)

  14. A Wnt-kinase network alters nuclear localization of TCF-1 in colon cancer

    OpenAIRE

    Najdi, Rani; Syed, Adeela; Arce, Laura; Theisen, Heidi; Ting, Ju-Hui T.; Atcha, Fawzia; Nguyen, Anthony V.; Martinez, Micaela; Randall F. Holcombe; Edwards, Robert A.; Marsh, J. Lawrence; Waterman, Marian L

    2009-01-01

    Constitutive activation of the Wnt/β-catenin pathway has been implicated as the primary cause of colon cancer. However, the major transducers of Wnt signaling in the intestine, TCF-1 and TCF-4, have opposing functions. Knock-out of TCF-4 suppresses growth and maintenance of crypt stem cells, while knock-out of TCF-1 leads to adenomas. These phenotypes suggest that TCF-4 is Wnt-promoting while TCF-1 acts like a tumor suppressor. Our study of TCF expression in human colon crypts reveals a mecha...

  15. A genome-wide association study of breast and prostate cancer in the NHLBI's Framingham Heart Study

    OpenAIRE

    Kreger Bernard E; Finger Daniel; Rosenberg Carol L; Murabito Joanne M; Levy Daniel; Splansky Greta; Antman Karen; Hwang Shih-Jen

    2007-01-01

    Abstract Background Breast and prostate cancer are two commonly diagnosed cancers in the United States. Prior work suggests that cancer causing genes and cancer susceptibility genes can be identified. Methods We conducted a genome-wide association study (Affymetrix 100K SNP GeneChip) of cancer in the community-based Framingham Heart Study. We report on 2 cancer traits – prostate cancer and breast cancer – in up to 1335 participants from 330 families (54% women, mean entry age 33 years). Multi...

  16. Study and implementation of the network management agent of telecommunication application server in NGN

    Science.gov (United States)

    Liu, Kun; He, Hui; Ni, Yuhua

    2013-03-01

    The telecommunication application server (AS) is an important part of the value-added service network in the next generation network(NGN) as the support platform. Remote, unified and secure management to a variety of services is implemented after the remote network management of the telecommunications application server. The network management system based on Simple Network Management Protocol (SNMP) is decided to utilized to analyse and study the network managed objects in AS because of the integration of telecommunications networks and computer networks on the network management and convenient, economical and flexible features of SNMP protocol. The network management agent module of AS is designed and an example is illustrated the details of the model. Results indicate the good performance of the network management agent.

  17. Breast cancer incidence and mortality in the Canadian fluoroscopy study

    International Nuclear Information System (INIS)

    This report describes the formation of the National Cancer Incidence Reporting System in a data base format suitable for computerized record linkage, and the linkage of the data from the Canadian study of cancer following multiple fluoroscopies to that database and to the Canadian National Mortality Data Base between 1940 and 1987. A comprehensive statistical analysis of the breast cancer mortality data occurring among female members of the cohort between 1950 and 1987 with respect to exposure to low-LET radiation is reported, together with a parallel analysis of the breast cancer incidence data between 1975 and 1983. The Canadian fluoroscopy study is a cohort study of tuberculosis patients first treated in Canadian institutions between 1930 and 1952. The present mortality analysis relates to the breast cancer mortality experience between 1950 and 1987. A total of 677 deaths from breast cancer was observed in this period. The most appropriate dose-response relationship appears to be a simple linear one. There is a strong modifying influence of age at first exposure; women first exposed past the age of 30 have little excess risk due to radiation exposure. The breast cancer incidence analysis is based upon 628 cases observed between 1975 and 1983. Again a simple linear model appears to provide an adequate fit to the data. There is a suggestion of time dependency under the additive model, but this is not statistically significant. The results from this latest analysis continue to be reassuring in terms of radiation risk from mammography. (L.L.) 15 refs., figs., tabs

  18. Cancer Advocacy in Africa: case studies of innovative practices

    OpenAIRE

    Odedina, Folakemi T; Rodrigues, Belmira

    2013-01-01

    In this paper, we present six case studies describing innovative cancer advocacy programs in Africa. For each case study, an example of an advocacy activity, list of factors contributing to the success of the organization, and an example of an obstacle addressed by the organization are described.

  19. Chronic morphine treatment attenuates cell growth of human BT474 breast cancer cells by rearrangement of the ErbB signalling network.

    Directory of Open Access Journals (Sweden)

    Inka Regine Weingaertner

    Full Text Available There is increasing evidence that opioid analgesics may interfere with tumour growth. It is currently thought that these effects are mediated by transactivation of receptor tyrosine kinase (RTK-controlled ERK1/2 and Akt signalling. The growth of many breast cancer cells is dependent on hyperactive ErbB receptor networks and one of the most successful approaches in antineoplastic therapy during the last decade was the development of ErbB-targeted therapies. However, the response rates of single therapies are often poor and resistance mechanisms evolve rapidly. To date there is no information about the ability of opioid analgesics to interfere with the growth of ErbB-driven cancers.Here we demonstrate that ErbB2 overexpressing BT474 human breast cancer cells carry fully functional endogenous µ-opioid receptors. Most interestingly, the acute opioid effects on basal and Heregulin-stimulated ERK1/2 and Akt phosphorylation changed considerably during chronic Morphine treatment. Investigation of the underlying mechanism by the use of protein kinase inhibitors and co-immunoprecipitation studies revealed that chronic Morphine treatment results in rearrangement of the ErbB signalling network leading to dissociation of ERK1/2 from Akt signalling and a switch from ErbB1/ErbB3 to ErbB1/ErbB2-dependent cell growth. In chronically Morphine-treated cells Heregulin-stimulated ERK1/2 signalling is redirected via a newly established PI3K- and metalloproteinase-dependent feedback loop. Together, these alterations result in apoptosis of BT474 cells. A similar switch in Heregulin-stimulated ERK1/2 signalling from an ErbB2-independent to an ErbB2-, PI3K- and metalloproteinase-dependent mechanism was also observed in κ-opioid receptor expressing SKBR3 human mammary adenocarcinoma cells.The present data demonstrate that the ErbB receptor network of human breast cancer cells represents a target for chronic Morphine treatment. Rearrangement of ErbB signalling by chronic

  20. Cognitive and Social Structure of the Elite Collaboration Network of Astrophysics: A Case Study on Shifting Network Structures

    Science.gov (United States)

    Heidler, Richard

    2011-01-01

    Scientific collaboration can only be understood along the epistemic and cognitive grounding of scientific disciplines. New scientific discoveries in astrophysics led to a major restructuring of the elite network of astrophysics. To study the interplay of the epistemic grounding and the social network structure of a discipline, a mixed-methods…