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Sample records for cancer risk prediction

  1. Cancer Risk Prediction and Assessment

    Science.gov (United States)

    Cancer prediction models provide an important approach to assessing risk and prognosis by identifying individuals at high risk, facilitating the design and planning of clinical cancer trials, fostering the development of benefit-risk indices, and enabling estimates of the population burden and cost of cancer.

  2. Liver Cancer Risk Prediction Models

    Science.gov (United States)

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

  3. Breast Cancer Risk Prediction Models

    Science.gov (United States)

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

  4. Prostate Cancer Risk Prediction Models

    Science.gov (United States)

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

  5. Pancreatic Cancer Risk Prediction Models

    Science.gov (United States)

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

  6. Colorectal Cancer Risk Prediction Models

    Science.gov (United States)

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

  7. Bladder Cancer Risk Prediction Models

    Science.gov (United States)

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

  8. Esophageal Cancer Risk Prediction Models

    Science.gov (United States)

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

  9. Cervical Cancer Risk Prediction Models

    Science.gov (United States)

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

  10. Testicular Cancer Risk Prediction Models

    Science.gov (United States)

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

  11. Ovarian Cancer Risk Prediction Models

    Science.gov (United States)

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

  12. Lung Cancer Risk Prediction Models

    Science.gov (United States)

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

  13. Predicting risk of cancer during HIV infection

    DEFF Research Database (Denmark)

    Borges, Álvaro H; Silverberg, Michael J; Wentworth, Deborah;

    2013-01-01

    To investigate the relationship between inflammatory [interleukin-6 (IL-6) and C-reactive protein (CRP)] and coagulation (D-dimer) biomarkers and cancer risk during HIV infection.......To investigate the relationship between inflammatory [interleukin-6 (IL-6) and C-reactive protein (CRP)] and coagulation (D-dimer) biomarkers and cancer risk during HIV infection....

  14. Submission Form for Peer-Reviewed Cancer Risk Prediction Models

    Science.gov (United States)

    If you have information about a peer-reviewd cancer risk prediction model that you would like to be considered for inclusion on this list, submit as much information as possible through the form on this page.

  15. Risk Prediction Model for Colorectal Cancer: National Health Insurance Corporation Study, Korea

    OpenAIRE

    Aesun Shin; Jungnam Joo; Hye-Ryung Yang; Jeongin Bak; Yunjin Park; Jeongseon Kim; Jae Hwan Oh; Byung-Ho Nam

    2014-01-01

    PURPOSE: Incidence and mortality rates of colorectal cancer have been rapidly increasing in Korea during last few decades. Development of risk prediction models for colorectal cancer in Korean men and women is urgently needed to enhance its prevention and early detection. METHODS: Gender specific five-year risk prediction models were developed for overall colorectal cancer, proximal colon cancer, distal colon cancer, colon cancer and rectal cancer. The model was developed using data from a po...

  16. Chromosomal aberration frequency in lymphocytes predicts the risk of cancer

    DEFF Research Database (Denmark)

    Bonassi, Stefano; Norppa, Hannu; Ceppi, Marcello;

    2008-01-01

    incidence and/or mortality for an average of 10.1 years; 368 cancer deaths and 675 incident cancer cases were observed. Subjects were classified within each laboratory according to tertiles of CA frequency. The relative risk (RR) of cancer was increased for subjects in the medium [RR = 1.31, 95% confidence...... for stomach cancer [RR(medium) = 1.17 (95% CI = 0.37-3.70), RR(high) = 3.13 (95% CI = 1.17-8.39)]. Exposure to carcinogens did not modify the effect of CA levels on overall cancer risk. These results reinforce the evidence of a link between CA frequency and cancer risk and provide novel information......Mechanistic evidence linking chromosomal aberration (CA) to early stages of cancer has been recently supported by the results of epidemiological studies that associated CA frequency in peripheral lymphocytes of healthy individuals to future cancer incidence. To overcome the limitations of single...

  17. Risk Prediction Models for Other Cancers or Multiple Sites

    Science.gov (United States)

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

  18. Methods to Predict and Lower the Risk of Prostate Cancer

    Directory of Open Access Journals (Sweden)

    Barbara Ercole

    2011-01-01

    Full Text Available Chemoprevention for prostate cancer (PCa continues to generate interest from both physicians and the patient population. The goal of chemoprevention is to stop the malignant transformation of prostate cells into cancer. Multiple studies on different substances ranging from supplements to medical therapy have been undertaken. Thus far, only the studies on 5α-reductase inhibitors (the Prostate Cancer Prevention Trial [PCPT] and Reduction by Dutasteride of Prostate Cancer Events [REDUCE] trial have demonstrated a reduction in the risk of PCa, while results from the Selenium and Vitamin E Cancer Prevention Trial (SELECT concluded no decreased risk for PCa with selenium or vitamin E.

  19. An epidemiologic risk prediction model for ovarian cancer in Europe : The EPIC study

    OpenAIRE

    Li, K; Huesing, A.; Fortner, R. T.; Tjonneland, A.; Hansen, L.; Dossus, L; Chang-Claude, J; Bergmann, M.; A. Steffen; Bamia, C.; Trichopoulos, D; Trichopoulou, A; Palli, D; Mattiello, A; Agnoli, C

    2015-01-01

    Background: Ovarian cancer has a high case-fatality ratio, largely due to late diagnosis. Epidemiologic risk prediction models could help identify women at increased risk who may benefit from targeted prevention measures, such as screening or chemopreventive agents. Methods: We built an ovarian cancer risk prediction model with epidemiologic risk factors from 202 206 women in the European Prospective Investigation into Cancer and Nutrition study. Results: Older age at menopause, longer durati...

  20. Breast cancer risk prediction using a clinical risk model and polygenic risk score.

    Science.gov (United States)

    Shieh, Yiwey; Hu, Donglei; Ma, Lin; Huntsman, Scott; Gard, Charlotte C; Leung, Jessica W T; Tice, Jeffrey A; Vachon, Celine M; Cummings, Steven R; Kerlikowske, Karla; Ziv, Elad

    2016-10-01

    Breast cancer risk assessment can inform the use of screening and prevention modalities. We investigated the performance of the Breast Cancer Surveillance Consortium (BCSC) risk model in combination with a polygenic risk score (PRS) comprised of 83 single nucleotide polymorphisms identified from genome-wide association studies. We conducted a nested case-control study of 486 cases and 495 matched controls within a screening cohort. The PRS was calculated using a Bayesian approach. The contributions of the PRS and variables in the BCSC model to breast cancer risk were tested using conditional logistic regression. Discriminatory accuracy of the models was compared using the area under the receiver operating characteristic curve (AUROC). Increasing quartiles of the PRS were positively associated with breast cancer risk, with OR 2.54 (95 % CI 1.69-3.82) for breast cancer in the highest versus lowest quartile. In a multivariable model, the PRS, family history, and breast density remained strong risk factors. The AUROC of the PRS was 0.60 (95 % CI 0.57-0.64), and an Asian-specific PRS had AUROC 0.64 (95 % CI 0.53-0.74). A combined model including the BCSC risk factors and PRS had better discrimination than the BCSC model (AUROC 0.65 versus 0.62, p = 0.01). The BCSC-PRS model classified 18 % of cases as high-risk (5-year risk ≥3 %), compared with 7 % using the BCSC model. The PRS improved discrimination of the BCSC risk model and classified more cases as high-risk. Further consideration of the PRS's role in decision-making around screening and prevention strategies is merited.

  1. Risk factors predictive of atrial fibrillation after lung cancer surgery.

    Science.gov (United States)

    Iwata, Takekazu; Nagato, Kaoru; Nakajima, Takahiro; Suzuki, Hidemi; Yoshida, Shigetoshi; Yoshino, Ichiro

    2016-08-01

    Postoperative atrial fibrillation (POAF), the most frequent arrhythmia after pulmonary resection, is a cause of both morbidity and mortality. Being able to predict the risk of POAF before surgery would help us evaluate the surgical risk and plan prophylaxis. We investigated the reported preoperative risk factors associated with the incidence of POAF and found that the recommended predictive factors were quite variable. Therefore, we evaluated the previously reported preoperative risk factors for POAF using our institutional data. We discuss our findings in this short review. Male gender, resected lung volume, brain natriuretic peptide (BNP), and left ventricular early transmitral velocity/mitral annular early diastolic velocity (E/e') calculated by echocardiography were suggested as independent predictors for POAF, but the predictive values of each individual parameter were not high. The lack of definitive predictors for POAF warrants further investigations by gathering the reported knowledge, to establish an effective preoperative examination strategy. PMID:26471506

  2. Risk prediction models for colorectal cancer in people with symptoms: a systematic review

    OpenAIRE

    Williams, Tom G. S.; Cubiella, Joaquín; Griffin, Simon J; Walter, Fiona M.; Usher-Smith, Juliet A.

    2016-01-01

    Background Colorectal cancer (CRC) is the fourth leading cause of cancer-related death in Europe and the United States. Detecting the disease at an early stage improves outcomes. Risk prediction models which combine multiple risk factors and symptoms have the potential to improve timely diagnosis. The aim of this review is to systematically identify and compare the performance of models that predict the risk of primary CRC among symptomatic individuals. Methods We searched Medline and EMBASE ...

  3. A Panel of Cancer Testis Antigens and Clinical Risk Factors to Predict Metastasis in Colorectal Cancer

    Directory of Open Access Journals (Sweden)

    Ramyar Molania

    2014-01-01

    Full Text Available Colorectal cancer (CRC is the third common carcinoma with a high rate of mortality worldwide and several studies have investigated some molecular and clinicopathological markers for diagnosis and prognosis of its malignant phenotypes. The aim of this study is to evaluate expression frequency of PAGE4, SCP-1, and SPANXA/D cancer testis antigen (CTA genes as well as some clinical risk markers to predict liver metastasis of colorectal cancer patients. The expression frequency of PAGE4, SCP-1, and SPANXA/D cancer/testis antigen (CTA genes was obtained using reverse transcription polymerase chain reaction (RT-PCR assay in 90 colorectal tumor samples including both negative and positive liver metastasis tumors. Statistical analysis was performed to assess the association of three studied genes and clinical risk factors with CRC liver metastasis. The frequency of PAGE4 and SCP-1 genes expression was significantly higher in the primary tumours with liver metastasis when statistically compared with primary tumors with no liver metastasis (P<0.05. Among all clinical risk factors studied, the lymph node metastasis and the depth of invasion were statistically correlated with liver metastasis of CRC patients. In addition, using multiple logistic regression, we constructed a model based on PAGE4 and lymph node metastasis to predict liver metastasis of CRC.

  4. 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 (pbreast cancer risk than with a single feature.

  5. Estimation of volumetric breast density for breast cancer risk prediction

    Science.gov (United States)

    Pawluczyk, Olga; Yaffe, Martin J.; Boyd, Norman F.; Jong, Roberta A.

    2000-04-01

    Mammographic density (MD) has been shown to be a strong risk predictor for breast cancer. Compared to subjective assessment by a radiologist, computer-aided analysis of digitized mammograms provides a quantitative and more reproducible method for assessing breast density. However, the current methods of estimating breast density based on the area of bright signal in a mammogram do not reflect the true, volumetric quantity of dense tissue in the breast. A computerized method to estimate the amount of radiographically dense tissue in the overall volume of the breast has been developed to provide an automatic, user-independent tool for breast cancer risk assessment. The procedure for volumetric density estimation consists of first correcting the image for inhomogeneity, then performing a volume density calculation. First, optical sensitometry is used to convert all images to the logarithm of relative exposure (LRE), in order to simplify the image correction operations. The field non-uniformity correction, which takes into account heel effect, inverse square law, path obliquity and intrinsic field and grid non- uniformity is obtained by imaging a spherical section PMMA phantom. The processed LRE image of the phantom is then used as a correction offset for actual mammograms. From information about the thickness and placement of the breast, as well as the parameters of a breast-like calibration step wedge placed in the mammogram, MD of the breast is calculated. Post processing and a simple calibration phantom enable user- independent, reliable and repeatable volumetric estimation of density in breast-equivalent phantoms. Initial results obtained on known density phantoms show the estimation to vary less than 5% in MD from the actual value. This can be compared to estimated mammographic density differences of 30% between the true and non-corrected values. Since a more simplistic breast density measurement based on the projected area has been shown to be a strong indicator

  6. Assessment of uncertainties in radiation-induced cancer risk predictions at clinically relevant doses

    Energy Technology Data Exchange (ETDEWEB)

    Nguyen, J. [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts 02114 and Department of Physics, Ruprecht-Karls-Universität Heidelberg, Heidelberg 69117 (Germany); Moteabbed, M.; Paganetti, H., E-mail: hpaganetti@mgh.harvard.edu [Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts 02114 and Harvard Medical School, Boston, Massachusetts 02114 (United States)

    2015-01-15

    Purpose: Theoretical dose–response models offer the possibility to assess second cancer induction risks after external beam therapy. The parameters used in these models are determined with limited data from epidemiological studies. Risk estimations are thus associated with considerable uncertainties. This study aims at illustrating uncertainties when predicting the risk for organ-specific second cancers in the primary radiation field illustrated by choosing selected treatment plans for brain cancer patients. Methods: A widely used risk model was considered in this study. The uncertainties of the model parameters were estimated with reported data of second cancer incidences for various organs. Standard error propagation was then subsequently applied to assess the uncertainty in the risk model. Next, second cancer risks of five pediatric patients treated for cancer in the head and neck regions were calculated. For each case, treatment plans for proton and photon therapy were designed to estimate the uncertainties (a) in the lifetime attributable risk (LAR) for a given treatment modality and (b) when comparing risks of two different treatment modalities. Results: Uncertainties in excess of 100% of the risk were found for almost all organs considered. When applied to treatment plans, the calculated LAR values have uncertainties of the same magnitude. A comparison between cancer risks of different treatment modalities, however, does allow statistically significant conclusions. In the studied cases, the patient averaged LAR ratio of proton and photon treatments was 0.35, 0.56, and 0.59 for brain carcinoma, brain sarcoma, and bone sarcoma, respectively. Their corresponding uncertainties were estimated to be potentially below 5%, depending on uncertainties in dosimetry. Conclusions: The uncertainty in the dose–response curve in cancer risk models makes it currently impractical to predict the risk for an individual external beam treatment. On the other hand, the ratio

  7. An epidemiological model for prediction of endometrial cancer risk in Europe

    NARCIS (Netherlands)

    Hüsing, Anika; Dossus, Laure; Ferrari, Pietro; Tjønneland, Anne; Hansen, Louise; Fagherazzi, Guy; Baglietto, Laura; Schock, Helena; Chang-Claude, Jenny; Boeing, Heiner; Steffen, Annika; Trichopoulou, Antonia; Bamia, Christina; Katsoulis, Michalis; Krogh, Vittorio; Palli, Domenico; Panico, Salvatore; Onland-Moret, N. Charlotte; Peeters, Petra H.; Bueno-de-Mesquita, H. Bas; Weiderpass, Elisabete; Gram, Inger T.; Ardanaz, Eva; Obón-Santacana, Mireia; Navarro, Carmen; Sánchez-Cantalejo, Emilio; Etxezarreta, Nerea; Allen, Naomi E.; Khaw, Kay Tee; Wareham, Nick; Rinaldi, Sabina; Romieu, Isabelle; Merritt, Melissa A.; Gunter, Marc; Riboli, Elio; Kaaks, Rudolf

    2016-01-01

    Endometrial cancer (EC) is the fourth most frequent cancer in women in Europe, and as its incidence is increasing, prevention strategies gain further pertinence. Risk prediction models can be a useful tool for identifying women likely to benefit from targeted prevention measures. On the basis of dat

  8. An epidemiologic risk prediction model for ovarian cancer in Europe : The EPIC study

    NARCIS (Netherlands)

    Li, K.; Huesing, A.; Fortner, R. T.; Tjonneland, A.; Hansen, L.; Dossus, L.; Chang-Claude, J.; Bergmann, M.; Steffen, A.; Bamia, C.; Trichopoulos, D.; Trichopoulou, A.; Palli, D.; Mattiello, A.; Agnoli, C.; Tumino, R.; Onland-Moret, N. C.; Peeters, P. H.; Bueno-de-Mesquita, H. B(as); Gram, I. T.; Weiderpass, E.; Sanchez-Cantalejo, E.; Chirlaque, M-D; Duell, E. J.; Ardanaz, E.; Idahl, A.; Lundin, E.; Khaw, K-T; Travis, R. C.; Merritt, M. A.; Gunter, M. J.; Riboli, E.; Ferrari, P.; Terry, K.; Cramer, D.; Kaaks, R.

    2015-01-01

    Background: Ovarian cancer has a high case-fatality ratio, largely due to late diagnosis. Epidemiologic risk prediction models could help identify women at increased risk who may benefit from targeted prevention measures, such as screening or chemopreventive agents. Methods: We built an ovarian canc

  9. Methods to Predict and Lower the Risk of Prostate Cancer

    OpenAIRE

    Barbara Ercole; Dipen J Parekh

    2011-01-01

    Chemoprevention for prostate cancer (PCa) continues to generate interest from both physicians and the patient population. The goal of chemoprevention is to stop the malignant transformation of prostate cells into cancer. Multiple studies on different substances ranging from supplements to medical therapy have been undertaken. Thus far, only the studies on 5α-reductase inhibitors (the Prostate Cancer Prevention Trial [PCPT] and Reduction by Dutasteride of Prostate Cancer Events [REDUCE] trial)...

  10. A utility/cost analysis of breast cancer risk prediction algorithms

    Science.gov (United States)

    Abbey, Craig K.; Wu, Yirong; Burnside, Elizabeth S.; Wunderlich, Adam; Samuelson, Frank W.; Boone, John M.

    2016-03-01

    Breast cancer risk prediction algorithms are used to identify subpopulations that are at increased risk for developing breast cancer. They can be based on many different sources of data such as demographics, relatives with cancer, gene expression, and various phenotypic features such as breast density. Women who are identified as high risk may undergo a more extensive (and expensive) screening process that includes MRI or ultrasound imaging in addition to the standard full-field digital mammography (FFDM) exam. Given that there are many ways that risk prediction may be accomplished, it is of interest to evaluate them in terms of expected cost, which includes the costs of diagnostic outcomes. In this work we perform an expected-cost analysis of risk prediction algorithms that is based on a published model that includes the costs associated with diagnostic outcomes (true-positive, false-positive, etc.). We assume the existence of a standard screening method and an enhanced screening method with higher scan cost, higher sensitivity, and lower specificity. We then assess expected cost of using a risk prediction algorithm to determine who gets the enhanced screening method under the strong assumption that risk and diagnostic performance are independent. We find that if risk prediction leads to a high enough positive predictive value, it will be cost-effective regardless of the size of the subpopulation. Furthermore, in terms of the hit-rate and false-alarm rate of the of the risk prediction algorithm, iso-cost contours are lines with slope determined by properties of the available diagnostic systems for screening.

  11. Computerized prediction of breast cancer risk: comparison between the global and local bilateral mammographic tissue asymmetry

    Science.gov (United States)

    Wang, Xingwei; Lederman, Dror; Tan, Jun; Wang, Xiao Hui; Zheng, Bin

    2011-03-01

    We have developed and preliminarily tested a new breast cancer risk prediction model based on computerized bilateral mammographic tissue asymmetry. In this study, we investigated and compared the performance difference of our risk prediction model when the bilateral mammographic tissue asymmetrical features were extracted in two different methods namely (1) the entire breast area and (2) the mirror-matched local strips between the left and right breast. A testing dataset including bilateral craniocaudal (CC) view images of 100 negative and 100 positive cases for developing breast abnormalities or cancer was selected from a large and diverse full-field digital mammography (FFDM) image database. To detect bilateral mammographic tissue asymmetry, a set of 20 initial "global" features were extracted from the entire breast areas of two bilateral mammograms in CC view and their differences were computed. Meanwhile, a pool of 16 local histogram-based statistic features was computed from eight mirror-matched strips between the left and right breast. Using a genetic algorithm (GA) to select optimal features, two artificial neural networks (ANN) were built to predict the risk of a test case developing cancer. Using the leave-one-case-out training and testing method, two GAoptimized ANNs yielded the areas under receiver operating characteristic (ROC) curves of 0.754+/-0.024 (using feature differences extracted from the entire breast area) and 0.726+/-0.026 (using the feature differences extracted from 8 pairs of local strips), respectively. The risk prediction model using either ANN is able to detect 58.3% (35/60) of cancer cases 6 to 18 months earlier at 80% specificity level. This study compared two methods to compute bilateral mammographic tissue asymmetry and demonstrated that bilateral mammographic tissue asymmetry was a useful breast cancer risk indicator with high discriminatory power.

  12. Assessment of two mammographic density related features in predicting near-term breast cancer risk

    Science.gov (United States)

    Zheng, Bin; Sumkin, Jules H.; Zuley, Margarita L.; Wang, Xingwei; Klym, Amy H.; Gur, David

    2012-02-01

    In order to establish a personalized breast cancer screening program, it is important to develop risk models that have high discriminatory power in predicting the likelihood of a woman developing an imaging detectable breast cancer in near-term (e.g., breast cancer risk models, mammographic density is considered the second highest breast cancer risk factor (second to woman's age). In this study we explored a new feature, namely bilateral mammographic density asymmetry, and investigated the feasibility of predicting near-term screening outcome. The database consisted of 343 negative examinations, of which 187 depicted cancers that were detected during the subsequent screening examination and 155 that remained negative. We computed the average pixel value of the segmented breast areas depicted on each cranio-caudal view of the initial negative examinations. We then computed the mean and difference mammographic density for paired bilateral images. Using woman's age, subjectively rated density (BIRADS), and computed mammographic density related features we compared classification performance in estimating the likelihood of detecting cancer during the subsequent examination using areas under the ROC curves (AUC). The AUCs were 0.63+/-0.03, 0.54+/-0.04, 0.57+/-0.03, 0.68+/-0.03 when using woman's age, BIRADS rating, computed mean density and difference in computed bilateral mammographic density, respectively. Performance increased to 0.62+/-0.03 and 0.72+/-0.03 when we fused mean and difference in density with woman's age. The results suggest that, in this study, bilateral mammographic tissue density is a significantly stronger (p<0.01) risk indicator than both woman's age and mean breast density.

  13. Predictive accuracy of the PanCan lung cancer risk prediction model - external validation based on CT from the Danish Lung Cancer Screening Trial

    International Nuclear Information System (INIS)

    Lung cancer risk models should be externally validated to test generalizability and clinical usefulness. The Danish Lung Cancer Screening Trial (DLCST) is a population-based prospective cohort study, used to assess the discriminative performances of the PanCan models. From the DLCST database, 1,152 nodules from 718 participants were included. Parsimonious and full PanCan risk prediction models were applied to DLCST data, and also coefficients of the model were recalculated using DLCST data. Receiver operating characteristics (ROC) curves and area under the curve (AUC) were used to evaluate risk discrimination. AUCs of 0.826-0.870 were found for DLCST data based on PanCan risk prediction models. In the DLCST, age and family history were significant predictors (p = 0.001 and p = 0.013). Female sex was not confirmed to be associated with higher risk of lung cancer; in fact opposing effects of sex were observed in the two cohorts. Thus, female sex appeared to lower the risk (p = 0.047 and p = 0.040) in the DLCST. High risk discrimination was validated in the DLCST cohort, mainly determined by nodule size. Age and family history of lung cancer were significant predictors and could be included in the parsimonious model. Sex appears to be a less useful predictor. (orig.)

  14. Predictive accuracy of the PanCan lung cancer risk prediction model - external validation based on CT from the Danish Lung Cancer Screening Trial

    Energy Technology Data Exchange (ETDEWEB)

    Winkler Wille, Mathilde M.; Dirksen, Asger [Gentofte Hospital, Department of Respiratory Medicine, Hellerup (Denmark); Riel, Sarah J. van; Jacobs, Colin; Scholten, Ernst T.; Ginneken, Bram van [Radboud University Medical Center, Department of Radiology and Nuclear Medicine, Nijmegen (Netherlands); Saghir, Zaigham [Herlev Hospital, Department of Respiratory Medicine, Herlev (Denmark); Pedersen, Jesper Holst [Copenhagen University Hospital, Department of Thoracic Surgery, Rigshospitalet, Koebenhavn Oe (Denmark); Hohwue Thomsen, Laura [Hvidovre Hospital, Department of Respiratory Medicine, Hvidovre (Denmark); Skovgaard, Lene T. [University of Copenhagen, Department of Biostatistics, Koebenhavn Oe (Denmark)

    2015-10-15

    Lung cancer risk models should be externally validated to test generalizability and clinical usefulness. The Danish Lung Cancer Screening Trial (DLCST) is a population-based prospective cohort study, used to assess the discriminative performances of the PanCan models. From the DLCST database, 1,152 nodules from 718 participants were included. Parsimonious and full PanCan risk prediction models were applied to DLCST data, and also coefficients of the model were recalculated using DLCST data. Receiver operating characteristics (ROC) curves and area under the curve (AUC) were used to evaluate risk discrimination. AUCs of 0.826-0.870 were found for DLCST data based on PanCan risk prediction models. In the DLCST, age and family history were significant predictors (p = 0.001 and p = 0.013). Female sex was not confirmed to be associated with higher risk of lung cancer; in fact opposing effects of sex were observed in the two cohorts. Thus, female sex appeared to lower the risk (p = 0.047 and p = 0.040) in the DLCST. High risk discrimination was validated in the DLCST cohort, mainly determined by nodule size. Age and family history of lung cancer were significant predictors and could be included in the parsimonious model. Sex appears to be a less useful predictor. (orig.)

  15. Toxicity ratios: Their use and abuse in predicting the risk from induced cancer

    International Nuclear Information System (INIS)

    The toxicity ratio concept assumes the validity of certain relationships. In some examples for bone sarcoma induction, the approximate toxicity of 239Pu in man can be calculated algebraically from the observed toxicity in the radium-dial painters and the ratio of 239Pu/226Ra toxicities in suitable laboratory mammals. In a species highly susceptible to bone sarcoma induction, the risk coefficients for both 239Pu and 226Ra are elevated, but the toxicity ratio of 239Pu to 226Ra tends to be similar to the ratio in resistant species. Among the tested species the toxicity ratio of 239Pu to 226Ra ranged from 6 to 22 (a fourfold range), whereas their relative sensitivities to 239Pu varied by a factor of 150. The toxicity ratio approach can also be used to estimate the actinide risk to man from liver cancer, by comparing to the Thorotrast patients; from lung cancer, by comparing to the uranium miners and the atomic-bomb survivors; and from neutron-induced cancers, by comparing to cancers induced by gamma rays. The toxicity ratio can be used to predict the risk to man from a specific type of cancer that has been reliably induced by a reference radiation in humans and that can be induced by both the reference and the investigated radiation in suitable laboratory animals. 26 refs., 3 figs., 1 tab

  16. Predictive Accuracy of the PanCan Lung Cancer Risk Prediction Model -External Validation based on CT from the Danish Lung Cancer Screening Trial

    DEFF Research Database (Denmark)

    Wille, Mathilde M. Winkler; van Riel, Sarah J.; Saghir, Zaigham;

    2015-01-01

    Objectives: Lung cancer risk models should be externally validated to test generalizability and clinical usefulness. The Danish Lung Cancer Screening Trial (DLCST) is a population-based prospective cohort study, used to assess the discriminative performances of the PanCan models. Methods: From...... the DLCST database, 1,152 nodules from 718 participants were included. Parsimonious and full PanCan risk prediction models were applied to DLCST data, and also coefficients of the model were recalculated using DLCST data. Receiver operating characteristics (ROC) curves and area under the curve (AUC) were...

  17. Risk factors predictive of occult cancer detection in patients with unprovoked venous thromboembolism

    Science.gov (United States)

    Ihaddadene, Ryma; Corsi, Daniel J.; Lazo-Langner, Alejandro; Shivakumar, Sudeep; Zarychanski, Ryan; Tagalakis, Vicky; Solymoss, Susan; Routhier, Nathalie; Douketis, James; Le Gal, Gregoire

    2016-01-01

    Risk factors predictive of occult cancer detection in patients with a first unprovoked symptomatic venous thromboembolism (VTE) are unknown. Cox proportional hazard models and multivariate analyses were performed to assess the effect of specific risk factors on occult cancer detection within 1 year of a diagnosis of unprovoked VTE in patients randomized in the Screening for Occult Malignancy in Patients with Idiopathic Venous Thromboembolism (SOME) trial. A total of 33 (3.9%; 95% CI, 2.8%-5.4%) out of the 854 included patients received a new diagnosis of cancer at 1-year follow-up. Age ≥ 60 years (hazard ratio [HR], 3.11; 95% CI, 1.41-6.89; P = .005), previous provoked VTE (HR, 3.20; 95% CI, 1.19-8.62; P = .022), and current smoker status (HR, 2.80; 95% CI, 1.24-6.33; P = .014) were associated with occult cancer detection. Age, prior provoked VTE, and smoking status may be important predictors of occult cancer detection in patients with first unprovoked VTE. This trial was registered at www.clinicaltrials.gov as #NCT00773448. PMID:26817957

  18. Risk of colon cancer in hereditary non-polyposis colorectal cancer patients as predicted by fuzzy modeling: Influence of smoking

    Institute of Scientific and Technical Information of China (English)

    Rhonda M Brand; David D Jones; Henry T Lynch; Randall E Brand; Patrice Watson; Ramesh Ashwathnayaran; Hemant K Roy

    2006-01-01

    AIM: To investigate whether a fuzzy logic model could predict colorectal cancer (CRC) risk engendered by smoking in hereditary non-polyposis colorectal cancer(HNPCC) patients.METHODS: Three hundred and forty HNPCC mismatch repair (MMR) mutation carriers from the Creighton University Hereditary Cancer Institute Registry were selected for modeling. Age-dependent curves were generated to elucidate the joint effects between gene mutation (hMLH1 or hMSH2), gender, and smoking status on the probability of developing CRC.RESULTS: Smoking significantly increased CRC risk in male hMSH2 mutation carriers (P<0.05). hMLH1 mutations augmented CRC risk relative to hMSH2 mutation carriers for males (P < 0.05). Males had a significantly higher risk of CRC than females for hMLH1 non smokers (P<0.05), hMLH1 smokers (P < 0.1) and hMSH2 smokers (P < 0.1). Smoking promoted CRC in a dose-dependent manner in hMSH2 in males (P<0.05).Females with hMSH2 mutations and both sexes with the hMLH1 groups only demonstrated a smoking effect after an extensive smoking history (P<0.05).CONCLUSION: CRC promotion by smoking in HNPCC patients is dependent on gene mutation, gender and age. These data demonstrate that fuzzy modeling may enable formulation of clinical risk scores, thereby allowing individualization of CRC prevention strategies.

  19. Change of mammographic density predicts the risk of contralateral breast cancer - a case-control study

    OpenAIRE

    Sandberg, Maria EC; Li, Jingmei; Hall, Per; Hartman, Mikael; dos-Santos-Silva, Isabel; Humphreys, Keith; Czene, Kamila

    2013-01-01

    Introduction Mammographic density is a strong risk factor for breast cancer, but it is unknown whether density at first breast cancer diagnosis and changes during follow-up influences risk of non-simultaneous contralateral breast cancer (CBC). Methods We collected mammograms for CBC-patients (cases, N = 211) and unilateral breast cancer patients (controls, N = 211), individually matched on age and calendar period of first breast cancer diagnosis, type of adjuvant therapy and length of follow-...

  20. DNA Methylation-Guided Prediction of Clinical Failure in High-Risk Prostate Cancer.

    Directory of Open Access Journals (Sweden)

    Kirill Litovkin

    Full Text Available Prostate cancer (PCa is a very heterogeneous disease with respect to clinical outcome. This study explored differential DNA methylation in a priori selected genes to diagnose PCa and predict clinical failure (CF in high-risk patients.A quantitative multiplex, methylation-specific PCR assay was developed to assess promoter methylation of the APC, CCND2, GSTP1, PTGS2 and RARB genes in formalin-fixed, paraffin-embedded tissue samples from 42 patients with benign prostatic hyperplasia and radical prostatectomy specimens of patients with high-risk PCa, encompassing training and validation cohorts of 147 and 71 patients, respectively. Log-rank tests, univariate and multivariate Cox models were used to investigate the prognostic value of the DNA methylation.Hypermethylation of APC, CCND2, GSTP1, PTGS2 and RARB was highly cancer-specific. However, only GSTP1 methylation was significantly associated with CF in both independent high-risk PCa cohorts. Importantly, trichotomization into low, moderate and high GSTP1 methylation level subgroups was highly predictive for CF. Patients with either a low or high GSTP1 methylation level, as compared to the moderate methylation groups, were at a higher risk for CF in both the training (Hazard ratio [HR], 3.65; 95% CI, 1.65 to 8.07 and validation sets (HR, 4.27; 95% CI, 1.03 to 17.72 as well as in the combined cohort (HR, 2.74; 95% CI, 1.42 to 5.27 in multivariate analysis.Classification of primary high-risk tumors into three subtypes based on DNA methylation can be combined with clinico-pathological parameters for a more informative risk-stratification of these PCa patients.

  1. Colorectal cancer in patients with inflammatory bowel disease: Can we predict risk?

    Institute of Scientific and Technical Information of China (English)

    Vibeke Andersen; Jonas Halfvarson; Ulla Vogel

    2012-01-01

    The inflammatory bowel diseases (IBD),Crohn's disease (CD) and ulcerative colitis (UC),may be complicated by colorectal cancer (CRC).In a recent populationbased cohort study of 47 347 Danish patients with IBD by Tine Jess and colleagues 268 patients with UC and 70 patients with CD developed CRC during 30 years of observation.The overall risk of CRC among patients with UC and CD was comparable with that of the general population.However,patients diagnosed with UC during childhood or as adolescents,patients with long duration of disease and those with concomitant primary sclerosing cholangitis were at increased risk.In this commentary,we discuss the mechanisms underlying carcinogenesis in IBD and current investigations of genetic susceptibility in IBD patients.Further advances will depend on the cooperative work by epidemiologist and molecular geneticists in order to identify genetic polymorphisms involved in IBD-associated CRC.The ultimate goal is to incorporate genotypes and clinical parameters into a predictive model that will refine the prediction of risk for CRC in colonic IBD.The challenge will be to translate these new findings into clinical practice and to determine appropriate preventive strategies in order to avoid CRC in IBD patients.The achieved knowledge may also be relevant for other inflammation-associated cancers.

  2. ERβ expression and breast cancer risk prediction for women with atypias.

    Science.gov (United States)

    Hieken, Tina J; Carter, Jodi M; Hawse, John R; Hoskin, Tanya L; Bois, Melanie; Frost, Marlene; Hartmann, Lynn C; Radisky, Derek C; Visscher, Daniel W; Degnim, Amy C

    2015-11-01

    Estrogen receptor (ER) β is highly expressed in normal breast epithelium and a putative tumor suppressor. Atypical hyperplasia substantially increases breast cancer risk, but identification of biomarkers to further improve risk stratification is needed. We evaluated ERβ expression in breast tissues from women with atypical hyperplasia and association with subsequent breast cancer risk. ERβ expression was examined by immunohistochemistry in a well-characterized 171-women cohort with atypical hyperplasia diagnosed 1967-1991. Nuclear ERβ percent and intensity was scored in the atypia and adjacent normal lobules. An ERβ sum score (percent + intensity) was calculated and grouped as low, moderate, or high. Competing risks regression was used to assess associations of ERβ expression with breast cancer risk. After 15-year median follow-up, 36 women developed breast cancer. ERβ expression was lower in atypia lobules in than normal lobules, by percent staining and intensity (both P breast cancer risk reduction.

  3. Prediction of Breast Cancer Risk Based on Profiling With Common Genetic Variants

    Science.gov (United States)

    Pharoah, Paul D. P.; Michailidou, Kyriaki; Tyrer, Jonathan; Brook, Mark N.; Bolla, Manjeet K.; Wang, Qin; Dennis, Joe; Dunning, Alison M.; Shah, Mitul; Luben, Robert; Brown, Judith; Bojesen, Stig E.; Nordestgaard, Børge G.; Nielsen, Sune F.; Flyger, Henrik; Czene, Kamila; Darabi, Hatef; Eriksson, Mikael; Peto, Julian; dos-Santos-Silva, Isabel; Dudbridge, Frank; Johnson, Nichola; Schmidt, Marjanka K.; Broeks, Annegien; Verhoef, Senno; Rutgers, Emiel J.; Swerdlow, Anthony; Ashworth, Alan; Orr, Nick; Schoemaker, Minouk J.; Figueroa, Jonine; Chanock, Stephen J.; Brinton, Louise; Lissowska, Jolanta; Couch, Fergus J.; Olson, Janet E.; Vachon, Celine; Pankratz, Vernon S.; Lambrechts, Diether; Wildiers, Hans; Van Ongeval, Chantal; van Limbergen, Erik; Kristensen, Vessela; Grenaker Alnæs, Grethe; Nord, Silje; Borresen-Dale, Anne-Lise; Nevanlinna, Heli; Muranen, Taru A.; Aittomäki, Kristiina; Blomqvist, Carl; Chang-Claude, Jenny; Rudolph, Anja; Seibold, Petra; Flesch-Janys, Dieter; Fasching, Peter A.; Haeberle, Lothar; Ekici, Arif B.; Beckmann, Matthias W.; Burwinkel, Barbara; Marme, Frederik; Schneeweiss, Andreas; Sohn, Christof; Trentham-Dietz, Amy; Newcomb, Polly; Titus, Linda; Egan, Kathleen M.; Hunter, David J.; Lindstrom, Sara; Tamimi, Rulla M.; Kraft, Peter; Rahman, Nazneen; Turnbull, Clare; Renwick, Anthony; Seal, Sheila; Li, Jingmei; Liu, Jianjun; Humphreys, Keith; Benitez, Javier; Pilar Zamora, M.; Arias Perez, Jose Ignacio; Menéndez, Primitiva; Jakubowska, Anna; Lubinski, Jan; Jaworska-Bieniek, Katarzyna; Durda, Katarzyna; Bogdanova, Natalia V.; Antonenkova, Natalia N.; Dörk, Thilo; Anton-Culver, Hoda; Neuhausen, Susan L.; Ziogas, Argyrios; Bernstein, Leslie; Devilee, Peter; Tollenaar, Robert A. E. M.; Seynaeve, Caroline; van Asperen, Christi J.; Cox, Angela; Cross, Simon S.; Reed, Malcolm W. R.; Khusnutdinova, Elza; Bermisheva, Marina; Prokofyeva, Darya; Takhirova, Zalina; Meindl, Alfons; Schmutzler, Rita K.; Sutter, Christian; Yang, Rongxi; Schürmann, Peter; Bremer, Michael; Christiansen, Hans; Park-Simon, Tjoung-Won; Hillemanns, Peter; Guénel, Pascal; Truong, Thérèse; Menegaux, Florence; Sanchez, Marie; Radice, Paolo; Peterlongo, Paolo; Manoukian, Siranoush; Pensotti, Valeria; Hopper, John L.; Tsimiklis, Helen; Apicella, Carmel; Southey, Melissa C.; Brauch, Hiltrud; Brüning, Thomas; Ko, Yon-Dschun; Sigurdson, Alice J.; Doody, Michele M.; Hamann, Ute; Torres, Diana; Ulmer, Hans-Ulrich; Försti, Asta; Sawyer, Elinor J.; Tomlinson, Ian; Kerin, Michael J.; Miller, Nicola; Andrulis, Irene L.; Knight, Julia A.; Glendon, Gord; Marie Mulligan, Anna; Chenevix-Trench, Georgia; Balleine, Rosemary; Giles, Graham G.; Milne, Roger L.; McLean, Catriona; Lindblom, Annika; Margolin, Sara; Haiman, Christopher A.; Henderson, Brian E.; Schumacher, Fredrick; Le Marchand, Loic; Eilber, Ursula; Wang-Gohrke, Shan; Hooning, Maartje J.; Hollestelle, Antoinette; van den Ouweland, Ans M. W.; Koppert, Linetta B.; Carpenter, Jane; Clarke, Christine; Scott, Rodney; Mannermaa, Arto; Kataja, Vesa; Kosma, Veli-Matti; Hartikainen, Jaana M.; Brenner, Hermann; Arndt, Volker; Stegmaier, Christa; Karina Dieffenbach, Aida; Winqvist, Robert; Pylkäs, Katri; Jukkola-Vuorinen, Arja; Grip, Mervi; Offit, Kenneth; Vijai, Joseph; Robson, Mark; Rau-Murthy, Rohini; Dwek, Miriam; Swann, Ruth; Annie Perkins, Katherine; Goldberg, Mark S.; Labrèche, France; Dumont, Martine; Eccles, Diana M.; Tapper, William J.; Rafiq, Sajjad; John, Esther M.; Whittemore, Alice S.; Slager, Susan; Yannoukakos, Drakoulis; Toland, Amanda E.; Yao, Song; Zheng, Wei; Halverson, Sandra L.; González-Neira, Anna; Pita, Guillermo; Rosario Alonso, M.; Álvarez, Nuria; Herrero, Daniel; Tessier, Daniel C.; Vincent, Daniel; Bacot, Francois; Luccarini, Craig; Baynes, Caroline; Ahmed, Shahana; Maranian, Mel; Healey, Catherine S.; Simard, Jacques; Hall, Per; Easton, Douglas F.; Garcia-Closas, Montserrat

    2015-01-01

    Background: Data for multiple common susceptibility alleles for breast cancer may be combined to identify women at different levels of breast cancer risk. Such stratification could guide preventive and screening strategies. However, empirical evidence for genetic risk stratification is lacking. Methods: We investigated the value of using 77 breast cancer-associated single nucleotide polymorphisms (SNPs) for risk stratification, in a study of 33 673 breast cancer cases and 33 381 control women of European origin. We tested all possible pair-wise multiplicative interactions and constructed a 77-SNP polygenic risk score (PRS) for breast cancer overall and by estrogen receptor (ER) status. Absolute risks of breast cancer by PRS were derived from relative risk estimates and UK incidence and mortality rates. Results: There was no strong evidence for departure from a multiplicative model for any SNP pair. Women in the highest 1% of the PRS had a three-fold increased risk of developing breast cancer compared with women in the middle quintile (odds ratio [OR] = 3.36, 95% confidence interval [CI] = 2.95 to 3.83). The ORs for ER-positive and ER-negative disease were 3.73 (95% CI = 3.24 to 4.30) and 2.80 (95% CI = 2.26 to 3.46), respectively. Lifetime risk of breast cancer for women in the lowest and highest quintiles of the PRS were 5.2% and 16.6% for a woman without family history, and 8.6% and 24.4% for a woman with a first-degree family history of breast cancer. Conclusions: The PRS stratifies breast cancer risk in women both with and without a family history of breast cancer. The observed level of risk discrimination could inform targeted screening and prevention strategies. Further discrimination may be achievable through combining the PRS with lifestyle/environmental factors, although these were not considered in this report. PMID:25855707

  4. KOHBRA BRCA risk calculator (KOHCal): a model for predicting BRCA1 and BRCA2 mutations in Korean breast cancer patients.

    Science.gov (United States)

    Kang, Eunyoung; Park, Sue K; Lee, Jong Won; Kim, Zisun; Noh, Woo-Chul; Jung, Yongsik; Yang, Jung-Hyun; Jung, Sung Hoo; Kim, Sung-Won

    2016-05-01

    The widely used Western BRCA mutation prediction models underestimated the risk of having a BRCA mutation in Korean breast cancer patients. This study aimed to identify predictive factors for BRCA1/2 mutations and to develop a Korean BRCA risk calculator. The model was constructed by logistic regression model, and it was based on the Korean Hereditary Breast Cancer study, in which 1669 female patients were enrolled between May 2007 and December 2010. A separate data set of 402 patients, who were enrolled from Jan 2011 to August 2012, was used to test the performance of our model. In total, 264 (15.8%) and 67 (16.7%) BRCA mutation carriers were identified in the model and validation set, respectively. Multivariate analysis showed that age at breast cancer diagnosis, bilateral breast cancer, triple-negative breast cancer (TNBC) and the number of relatives with breast or ovarian cancer within third-degree relatives were independent predictors of the BRCA mutation among familial breast cancer patients. An age cancer, both breast and ovarian cancer and TNBC remained significant predictors in non-familial breast cancer cases. Our model was developed based on logistic regression models. The validation results showed no differences between the observed and expected carrier probabilities. This model will be a useful tool for providing genetic risk assessments in Korean populations. PMID:26763880

  5. Prediction of breast cancer risk based on profiling with common genetic variants

    DEFF Research Database (Denmark)

    Mavaddat, Nasim; Pharoah, Paul D P; Michailidou, Kyriaki;

    2015-01-01

    BACKGROUND: Data for multiple common susceptibility alleles for breast cancer may be combined to identify women at different levels of breast cancer risk. Such stratification could guide preventive and screening strategies. However, empirical evidence for genetic risk stratification is lacking. M...

  6. Prediction of breast cancer risk based on profiling with common genetic variants

    NARCIS (Netherlands)

    N. Mavaddat (Nasim); P.D.P. Pharoah (Paul); K. Michailidou (Kyriaki); J.P. Tyrer (Jonathan); M.N. Brook (Mark N.); M.K. Bolla (Manjeet); Q. Wang (Qing); J. Dennis (Joe); A.M. Dunning (Alison); M. Shah (Mitul); R.N. Luben (Robert); J. Brown (Judith); S.E. Bojesen (Stig); B.G. Nordestgaard (Børge); S.F. Nielsen (Sune F.); H. Flyger (Henrik); K. Czene (Kamila); H. Darabi (Hatef); M. Eriksson (Mikael); J. Peto (Julian); I. dos Santos Silva (Isabel); F. Dudbridge (Frank); N. Johnson (Nichola); M.K. Schmidt (Marjanka); A. Broeks (Annegien); S. Verhoef; E.J. Rutgers (Emiel J.); A.J. Swerdlow (Anthony ); A. Ashworth (Alan); N. Orr (Nick); M. Schoemaker (Minouk); J.D. Figueroa (Jonine); S.J. Chanock (Stephen); L.A. Brinton (Louise); J. Lissowska (Jolanta); F.J. Couch (Fergus); J.E. Olson (Janet); C. Vachon (Celine); V.S. Pankratz (Shane); D. Lambrechts (Diether); H. Wildiers (Hans); C. van Ongeval (Chantal); E. van Limbergen (Erik); V. Kristensen (Vessela); G. Grenaker Alnæs (Grethe); S. Nord (Silje); A.-L. Borresen-Dale (Anne-Lise); H. Nevanlinna (Heli); T.A. Muranen (Taru); K. Aittomäki (Kristiina); C. Blomqvist (Carl); J. Chang-Claude (Jenny); A. Rudolph (Anja); P. Seibold (Petra); D. Flesch-Janys (Dieter); P.A. Fasching (Peter); L. Haeberle (Lothar); A.B. Ekici (Arif); M.W. Beckmann (Matthias); B. Burwinkel (Barbara); F. Marme (Federick); A. Schneeweiss (Andreas); C. Sohn (Christof); A. Trentham-Dietz (Amy); P. Newcomb (Polly); L. Titus (Linda); K.M. Egan (Kathleen M.); D. Hunter (David); S. Lindstrom (Stephen); R. Tamimi (Rulla); P. Kraft (Peter); N. Rahman (Nazneen); C. Turnbull (Clare); A. Renwick (Anthony); S. Seal (Sheila); J. Li (Jingmei); J. Liu (Jianjun); M.K. Humphreys (Manjeet); J. Benítez (Javier); M.P. Zamora (Pilar); J.I. Arias Pérez (José Ignacio); P. Menéndez (Primitiva); A. Jakubowska (Anna); J. Lubinski (Jan); K. Jaworska-Bieniek (Katarzyna); K. Durda (Katarzyna); N.V. Bogdanova (Natalia); N.N. Antonenkova (Natalia); T. Dörk (Thilo); H. Anton-Culver (Hoda); S.L. Neuhausen (Susan); A. Ziogas (Argyrios); L. Bernstein (Leslie); P. Devilee (Peter); R.A.E.M. Tollenaar (Rob); C.M. Seynaeve (Caroline); C.J. van Asperen (Christi); A. Cox (Angela); S.S. Cross (Simon); M.W.R. Reed (Malcolm); E.K. Khusnutdinova (Elza); M. Bermisheva (Marina); D. Prokofyeva (Darya); Z. Takhirova (Zalina); A. Meindl (Alfons); R.K. Schmutzler (Rita); C. Sutter (Christian); R. Yang (Rongxi); P. Schürmann (Peter); M. Bremer (Michael); H. Christiansen (Hans); T.-W. Park-Simon; P. Hillemanns (Peter); P. Guénel (Pascal); T. Truong (Thérèse); F. Menegaux (Florence); M. Sanchez (Marie); P. Radice (Paolo); P. Peterlongo (Paolo); S. Manoukian (Siranoush); V. Pensotti (Valeria); J. Hopper (John); H. Tsimiklis (Helen); C. Apicella (Carmel); M.C. Southey (Melissa); H. Brauch (Hiltrud); T. Brüning (Thomas); Y.-D. Ko (Yon-Dschun); A.J. Sigurdson (Alice); M.M. Doody (Michele M.); U. Hamann (Ute); D. Torres (Diana); H.U. Ulmer (Hans); A. Försti (Asta); E.J. Sawyer (Elinor); I.P. Tomlinson (Ian); M. Kerin (Michael); N. Miller (Nicola); I.L. Andrulis (Irene); J.A. Knight (Julia); G. Glendon (Gord); A. Marie Mulligan (Anna); G. Chenevix-Trench (Georgia); R. Balleine (Rosemary); G.G. Giles (Graham); R.L. Milne (Roger); C.A. McLean (Catriona Ann); A. Lindblom (Annika); S. Margolin (Sara); C.A. Haiman (Christopher); B.E. Henderson (Brian); F. Schumacher (Fredrick); L. Le Marchand (Loic); U. Eilber (Ursula); S. Wang-Gohrke (Shan); M.J. Hooning (Maartje); A. Hollestelle (Antoinette); A.M.W. van den Ouweland (Ans); L.B. Koppert (Linetta); J. Carpenter (Jane); C. Clarke (Christine); R.J. Scott (Rodney J.); A. Mannermaa (Arto); V. Kataja (Vesa); V-M. Kosma (Veli-Matti); J.M. Hartikainen (J.); H. Brenner (Hermann); V. Arndt (Volker); C. Stegmaier (Christa); A. Karina Dieffenbach (Aida); R. Winqvist (Robert); K. Pykäs (Katri); A. Jukkola-Vuorinen (Arja); M. Grip (Mervi); K. Offit (Kenneth); J. Vijai (Joseph); M. Robson (Mark); R. Rau-Murthy (Rohini); M. Dwek (Miriam); R. Swann (Ruth); K. Annie Perkins (Katherine); M.S. Goldberg (Mark); F. Labrèche (France); M. Dumont (Martine); D. Eccles (Diana); W. Tapper (William); M. Rafiq (Meena); E.M. John (Esther M.); A.S. Whittemore (Alice); S. Slager (Susan); D. Yannoukakos (Drakoulis); A.E. Toland (Amanda); S. Yao (Song); W. Zheng (Wei); S.L. Halverson (Sandra L.); A. González-Neira (Anna); G. Pita (G.); M. Rosario Alonso; N. Álvarez (Nuria); D. Herrero (Daniel); D.C. Tessier (Daniel C.)

    2015-01-01

    textabstractBackground: Data for multiple common susceptibility alleles for breast cancer may be combined to identify women at different levels of breast cancer risk. Such stratification could guide preventive and screening strategies. However, empirical evidence for genetic risk stratification is l

  7. Rs488087 single nucleotide polymorphism as predictive risk factor for pancreatic cancers.

    Science.gov (United States)

    Martinez, Emmanuelle; Silvy, Françoise; Fina, Fréderic; Bartoli, Marc; Krahn, Martin; Barlesi, Fabrice; Figarella-Branger, Dominique; Iovanna, Juan; Laugier, René; Ouaissi, Mehdi; Lombardo, Dominique; Mas, Eric

    2015-11-24

    Pancreatic cancer (PC) is a devastating disease progressing asymptomatically until death within months after diagnosis. Defining at-risk populations should promote its earlier diagnosis and hence also avoid its development. Considering the known involvement in pancreatic disease of exon 11 of the bile salt-dependent lipase (BSDL) gene that encodes variable number of tandem repeat (VNTR) sequences, we hypothesized upon the existence of a genetic link between predisposition to PC and mutations in VNTR loci. To test this, BSDL VNTR were amplified by touchdown-PCR performed on genomic DNA extracted from cancer tissue or blood samples from a French patient cohort and amplicons were Sanger sequenced. A robust method using probes for droplet digital (dd)-PCR was designed to discriminate the C/C major from C/T or T/T minor genotypes. We report that the c.1719C > T transition (SNP rs488087) present in BSDL VNTR may be a useful marker for defining a population at risk of developing PC (occurrence: 63.90% in the PC versus 27.30% in the control group). The odds ratio of 4.7 for the T allele was larger than those already determined for other SNPs suspected to be predictive of PC. Further studies on tumor pancreatic tissue suggested that a germline T allele may favor Kras G12R/G12D somatic mutations which represent negative prognostic factors associated with reduced survival. We propose that the detection of the T allele in rs488087 SNP should lead to an in-depth follow-up of patients in whom an association with other potential risk factors of pancreatic cancer may be present.

  8. Folate Intake and Methylenetetrahydrofolate Reductase Gene Polymorphisms as Predictive and Prognostic Biomarkers for Ovarian Cancer Risk

    Directory of Open Access Journals (Sweden)

    Ke Wang

    2012-03-01

    Full Text Available Folic acid and methylenetetrahydrofolate reductase (MTHFR may affect the development of human cancer. However, few studies have evaluated folate intake and MTHFR in susceptibility to and prognosis of patients with ovarian cancer. We conducted a prospective case-control study in 215 ovarian cancer patients and 218 controls (all Chinese between Jan. 2004 and Jan. 2007. MTHFR C677T genotyping was done by PCR-RFLP. All patients were followed up until Dec. 2010. We found a 2.43-fold increased risk of ovarian cancer among MTHFR 677TT carriers, and a decreased risk of ovarian cancer in individuals with high folate intake (OR = 0.54, 95% CI = 0.32–0.94. Cox regression survival analysis showed that among the ovarian cancer patients, those carrying the 677TT genotype had a higher risk of death (HR = 2.17, 95% CI = 1.20–4.79, while high folate intake was associated with a lower risk of death (HR = 0.43, 95% CI = 0.33–0.88. Moreover, MTHFR 677CC carriers with higher folate intake showed a lower risk of death from ovarian cancer (HR = 0.32, 95% CI = 0.27–0.82. In summary, high folate intake may lessen susceptibility and improve the prognosis of ovarian cancer patients, while the MTHFR 677TT genotype appears to increase ovarian cancer risk and worsen its prognosis in a Chinese population.

  9. Clinical applications of gene-based risk prediction for Lung Cancer and the central role of Chronic Obstructive Pulmonary Disease.

    Directory of Open Access Journals (Sweden)

    Robert P Young

    2012-10-01

    Full Text Available Lung cancer is the leading cause of cancer death worldwide and nearly 90% of cases are attributable to smoking. Quitting smoking and early diagnosis of lung cancer, through computed tomographic screening, are the only ways to reduce mortality from lung cancer. Recent epidemiological studies show that risk prediction for lung cancer is optimized by using multivariate risk models that include age, smoking exposure, history of chronic obstructive pulmonary disease (COPD, family history of lung cancer and body mass index. Several recent epidemiological studies have shown that COPD predates lung cancer in 65-70% of cases and confers a 4-6 fold greater risk of lung cancer compared to smokers with normal lung function. In separate studies, genome-wide association studies have identified a number of genetic variants associated with COPD or lung cancer, several of which overlap. In a case control study, where smokers with normal lungs were compared to those who had spirometry-defined COPD and histology confirmed lung cancer, several of these overlapping variants were shown to confer the same susceptibility or protective effects on both COPD and lung cancer (independent of COPD status. In this perspective article, we demonstrate how combining clinical data with genetic variants can help identify heavy smokers at the greatest risk of lung cancer. Using this approach, we found that gene-based risk testing helped engage smokers in risk mitigating activities like quitting smoking and undertaking lung cancer screening. We suggest that such an approach could facilitate the targeted selection of smokers for cost-effective, life-saving interventions.

  10. Meta-Prediction of MTHFR Gene Polymorphism Mutations and Associated Risk for Colorectal Cancer.

    Science.gov (United States)

    Shiao, S P K; Yu, C H

    2016-07-01

    The methylenetetrahydrofolate reductase (MTHFR) gene is one of the most investigated of the genes associated with chronic human diseases because of its associations with hyperhomocysteinemia and toxicity. It has been proposed as a prototype gene for the prevention of colorectal cancer (CRC). The major objectives of this meta-analysis were to examine the polymorphism-mutation patterns of MTHFR and their associations with risk for CRC as well as potential contributing factors for mutations and disease risks. This analysis included 33,626 CRC cases and 48,688 controls across 92 studies for MTHFR 677 and 16,367 cases and 24,874 controls across 54 studies for MTHFR 1298, comprising data for various racial and ethnic groups, both genders, and multiple cancer sites. MTHFR 677 homozygous TT genotype was protective (p Meta-predictive analyses revealed that air pollution levels were associated with gene polymorphisms for both genotypes. Future nursing research should be conducted to develop proactive measures to protect populations in cities where air pollution causes more deaths. PMID:26858257

  11. A simple risk stratification model that predicts 1-year postoperative mortality rate in patients with solid-organ cancer.

    Science.gov (United States)

    Chou, Wen-Chi; Wang, Frank; Cheng, Yu-Fan; Chen, Miao-Fen; Lu, Chang-Hsien; Wang, Cheng-Hsu; Lin, Yung-Chang; Yeh, Ta-Sen

    2015-11-01

    This study aimed to construct a scoring system developed exclusively from the preoperative data that predicts 1-year postoperative mortality in patients with solid cancers. A total of 20,632 patients who had a curative resection for solid-organ cancers between 2007 and 2012 at Chang Gung Memorial Hospital Linkou Medical Center were included in the derivation cohort. Multivariate logistic regression analysis was performed to develop a risk model that predicts 1-year postoperative mortality. Patients were then stratified into four risk groups (low-, intermediate-, high-, and very high-risk) according to the total score (0-43) form mortality risk analysis. An independent cohort of 16,656 patients who underwent curative cancer surgeries at three other hospitals during the same study period (validation cohort) was enrolled to verify the risk model. Age, gender, cancer site, history of previous cancer, tumor stage, Charlson comorbidity index, American Society of Anesthesiologist score, admission type, and Eastern Cooperative Oncology Group performance status were independently predictive of 1-year postoperative mortality. The 1-year postoperative mortality rates were 0.5%, 3.8%, 14.6%, and 33.8%, respectively, among the four risk groups in the derivation cohort (c-statistic, 0.80), compared with 0.9%, 4.2%, 14.6%, and 32.6%, respectively, in the validation cohort (c-statistic, 0.78). The risk stratification model also demonstrated good discrimination of long-term survival outcome of the four-tier risk groups (P model not only predicts 1-year postoperative mortality but also differentiates long-term survival outcome between the risk groups.

  12. Breast cancer and the "materiality of risk": the rise of morphological prediction.

    Science.gov (United States)

    Löwy, Ilana

    2007-01-01

    This paper follows the history of "morphological risk" of breast cancer. In the early twentieth century, surgeons and pathologists arrived at the conclusion that specific anatomical and cytological changes in the breast are related to a heightened risk of developing a malignancy in the future. This conclusion was directly related to a shift from macroscopic to microscopic diagnosis of malignancies, and to the integration of the frozen section into routine surgery for breast cancer. In the interwar era, conditions such as "chronic mastitis" and "cystic disease of the breast" were defined as precancerous, and women diagnosed with these conditions were advised to undergo mastectomy. In the post-World War II era, these entities were replaced by "carcinoma in situ." The recent development of tests for hereditary predisposition to breast cancer is a continuation of attempts to detect an "embodied risk" of cancer and to eliminate this risk by cutting it out.

  13. Negative HPV screening test predicts low cervical cancer risk better than negative Pap test

    Science.gov (United States)

    Based on a study that included more than 1 million women, investigators at NCI have determined that a negative test for HPV infection compared to a negative Pap test provides greater safety, or assurance, against future risk of cervical cancer.

  14. Predictive value of breast cancer cognitions and attitudes toward genetic testing on women’s interest in genetic testing for breast cancer risk

    OpenAIRE

    Bengel, Jürgen; Barth, Jürgen; Reitz, Frauke

    2004-01-01

    In the past years advances in genetic technologies have led to an increased interest in predictive genetic testing for breast cancer risk. Studies in the US and UK reported an increasing interest among women of the general public in genetic testing for breast cancer risk, although the benefit of such a test is questionable for low risk women. The aim of the present study was to identify factors that predict interest in genetic testing of German women in the general public. Women with neither ...

  15. Can Western Based Online Prostate Cancer Risk Calculators Be Used to Predict Prostate Cancer after Prostate Biopsy for the Korean Population?

    OpenAIRE

    Lee, Dong Hoon; Jung, Ha Bum; Park, Jae Won; Kim, Kyu Hyun; Kim, Jongchan; Lee, Seung Hwan; Chung, Byung Ha

    2013-01-01

    Purpose To access the predictive value of the European Randomized Screening of Prostate Cancer Risk Calculator (ERSPC-RC) and the Prostate Cancer Prevention Trial Risk Calculator (PCPT-RC) in the Korean population. Materials and Methods We retrospectively analyzed the data of 517 men who underwent transrectal ultrasound guided prostate biopsy between January 2008 and November 2010. Simple and multiple logistic regression analysis were performed to compare the result of prostate biopsy. Area u...

  16. Prediction of individual genetic risk to prostate cancer using a polygenic score

    DEFF Research Database (Denmark)

    Szulkin, Robert; Whitington, Thomas; Eklund, Martin;

    2015-01-01

    BACKGROUND: Polygenic risk scores comprising established susceptibility variants have shown to be informative classifiers for several complex diseases including prostate cancer. For prostate cancer it is unknown if inclusion of genetic markers that have so far not been associated with prostate ca...

  17. Nomogram to Predict Risk of Lymph Node Metastases in Patients With Endometrioid Endometrial Cancer.

    Science.gov (United States)

    Pollom, Erqi L; Conklin, Christopher M J; von Eyben, Rie; Folkins, Ann K; Kidd, Elizabeth A

    2016-09-01

    Pelvic lymphadenectomy in early-stage endometrial cancer is controversial, but the findings influence prognosis and treatment decisions. Noninvasive tools to identify women at high risk of lymph node metastasis can assist in determining the need for lymph node dissection and adjuvant treatment for patients who do not have a lymph node dissection performed initially. A retrospective review of surgical pathology was conducted for endometrioid endometrial adenocarcinoma at our institution. Univariate and multivariate logistic regression analysis of selected pathologic features were performed. A nomogram to predict for lymph node metastasis was constructed. From August 1996 to October 2013, 296 patients underwent total abdominal or laparoscopic hysterectomy, bilateral salpingo-oophorectomy, and selective lymphadenectomy for endometrioid endometrial adenocarcinoma. Median age at surgery was 62.7 yr (range, 24.9-93.6 yr). Median number of lymph nodes removed was 13 (range, 1-72). Of all patients, 38 (12.8%) had lymph node metastases. On univariate analysis, tumor size ≥4 cm, grade, lymphovascular space involvement, cervical stromal involvement, adnexal or serosal or parametrial involvement, positive pelvic washings, and deep (more than one half) myometrial invasion were all significantly associated with lymph node involvement. In a multivariate model, lymphovascular space involvement, deep myometrial invasion, and cervical stromal involvement remained significant predictors of nodal involvement, whereas tumor size of ≥4 cm was borderline significant. A lymph node predictive nomogram was constructed using these factors. Our nomogram can help estimate risk of nodal disease and aid in directing the need for additional surgery or adjuvant therapy in patients without lymph node surgery. Lymphovascular space involvement is the most important predictor for lymph node metastases, regardless of grade, and should be consistently assessed. PMID:26598977

  18. Endometrial Cancer Risk Factors

    Science.gov (United States)

    ... cancer? Next Topic What causes endometrial cancer? Endometrial cancer risk factors A risk factor is anything that affects your ... to obesity, which is a well-known endometrial cancer risk factor. Many scientists think this is the main way ...

  19. Lung cancer risk prediction to select smokers for screening CT--a model based on the Italian COSMOS trial.

    Science.gov (United States)

    Maisonneuve, Patrick; Bagnardi, Vincenzo; Bellomi, Massimo; Spaggiari, Lorenzo; Pelosi, Giuseppe; Rampinelli, Cristiano; Bertolotti, Raffaella; Rotmensz, Nicole; Field, John K; Decensi, Andrea; Veronesi, Giulia

    2011-11-01

    Screening with low-dose helical computed tomography (CT) has been shown to significantly reduce lung cancer mortality but the optimal target population and time interval to subsequent screening are yet to be defined. We developed two models to stratify individual smokers according to risk of developing lung cancer. We first used the number of lung cancers detected at baseline screening CT in the 5,203 asymptomatic participants of the COSMOS trial to recalibrate the Bach model, which we propose using to select smokers for screening. Next, we incorporated lung nodule characteristics and presence of emphysema identified at baseline CT into the Bach model and proposed the resulting multivariable model to predict lung cancer risk in screened smokers after baseline CT. Age and smoking exposure were the main determinants of lung cancer risk. The recalibrated Bach model accurately predicted lung cancers detected during the first year of screening. Presence of nonsolid nodules (RR = 10.1, 95% CI = 5.57-18.5), nodule size more than 8 mm (RR = 9.89, 95% CI = 5.84-16.8), and emphysema (RR = 2.36, 95% CI = 1.59-3.49) at baseline CT were all significant predictors of subsequent lung cancers. Incorporation of these variables into the Bach model increased the predictive value of the multivariable model (c-index = 0.759, internal validation). The recalibrated Bach model seems suitable for selecting the higher risk population for recruitment for large-scale CT screening. The Bach model incorporating CT findings at baseline screening could help defining the time interval to subsequent screening in individual participants. Further studies are necessary to validate these models.

  20. Predictive Risk of Radiation Induced Cerebral Necrosis in Pediatric Brain Cancer Patients after VMAT Versus Proton Therapy

    International Nuclear Information System (INIS)

    Cancer of the brain and central nervous system (CNS) is the second most common of all pediatric cancers. Treatment of many of these cancers includes radiation therapy of which radiation induced cerebral necrosis (RICN) can be a severe and potentially devastating side effect. Risk factors for RICN include brain volume irradiated, the dose given per fraction and total dose. Thirteen pediatric patients were selected for this study to determine the difference in predicted risk of RICN when treating with volumetric modulated arc therapy (VMAT) compared to passively scattered proton therapy (PSPT) and intensity modulated proton therapy (IMPT). Plans were compared on the basis of dosimetric endpoints in the planned treatment volume (PTV) and brain and a radiobiological endpoint of RICN calculated using the Lyman-Kutcher-Burman probit model. Uncertainty tests were performed to determine if the predicted risk of necrosis was sensitive to positional errors, proton range errors and selection of risk models. Both PSPT and IMPT plans resulted in a significant increase in the maximum dose to the brain, a significant reduction in the total brain volume irradiated to low doses, and a significant lower predicted risk of necrosis compared with the VMAT plans. The findings of this study were upheld by the uncertainty analysis

  1. Predictive Risk of Radiation Induced Cerebral Necrosis in Pediatric Brain Cancer Patients after VMAT Versus Proton Therapy

    Energy Technology Data Exchange (ETDEWEB)

    Freund, Derek; Zhang, Rui, E-mail: rzhang@marybird.com [Department of Radiation Oncology, Mary Bird Perkins Cancer Center, 4950 Essen Ln., Baton Rouge, LA 70809 (United States); Department of Physics and Astronomy, Louisiana State University, Nicholson Hall, Tower Dr., Baton Rouge, LA 70810 (United States); Sanders, Mary [Department of Radiation Oncology, Mary Bird Perkins Cancer Center, 4950 Essen Ln., Baton Rouge, LA 70809 (United States); Newhauser, Wayne [Department of Radiation Oncology, Mary Bird Perkins Cancer Center, 4950 Essen Ln., Baton Rouge, LA 70809 (United States); Department of Physics and Astronomy, Louisiana State University, Nicholson Hall, Tower Dr., Baton Rouge, LA 70810 (United States)

    2015-04-13

    Cancer of the brain and central nervous system (CNS) is the second most common of all pediatric cancers. Treatment of many of these cancers includes radiation therapy of which radiation induced cerebral necrosis (RICN) can be a severe and potentially devastating side effect. Risk factors for RICN include brain volume irradiated, the dose given per fraction and total dose. Thirteen pediatric patients were selected for this study to determine the difference in predicted risk of RICN when treating with volumetric modulated arc therapy (VMAT) compared to passively scattered proton therapy (PSPT) and intensity modulated proton therapy (IMPT). Plans were compared on the basis of dosimetric endpoints in the planned treatment volume (PTV) and brain and a radiobiological endpoint of RICN calculated using the Lyman-Kutcher-Burman probit model. Uncertainty tests were performed to determine if the predicted risk of necrosis was sensitive to positional errors, proton range errors and selection of risk models. Both PSPT and IMPT plans resulted in a significant increase in the maximum dose to the brain, a significant reduction in the total brain volume irradiated to low doses, and a significant lower predicted risk of necrosis compared with the VMAT plans. The findings of this study were upheld by the uncertainty analysis.

  2. Predictive Risk of Radiation Induced Cerebral Necrosis in Pediatric Brain Cancer Patients after VMAT Versus Proton Therapy

    Directory of Open Access Journals (Sweden)

    Derek Freund

    2015-04-01

    Full Text Available Cancer of the brain and central nervous system (CNS is the second most common of all pediatric cancers. Treatment of many of these cancers includes radiation therapy of which radiation induced cerebral necrosis (RICN can be a severe and potentially devastating side effect. Risk factors for RICN include brain volume irradiated, the dose given per fraction and total dose. Thirteen pediatric patients were selected for this study to determine the difference in predicted risk of RICN when treating with volumetric modulated arc therapy (VMAT compared to passively scattered proton therapy (PSPT and intensity modulated proton therapy (IMPT. Plans were compared on the basis of dosimetric endpoints in the planned treatment volume (PTV and brain and a radiobiological endpoint of RICN calculated using the Lyman-Kutcher-Burman probit model. Uncertainty tests were performed to determine if the predicted risk of necrosis was sensitive to positional errors, proton range errors and selection of risk models. Both PSPT and IMPT plans resulted in a significant increase in the maximum dose to the brain, a significant reduction in the total brain volume irradiated to low doses, and a significant lower predicted risk of necrosis compared with the VMAT plans. The findings of this study were upheld by the uncertainty analysis.

  3. Common breast cancer susceptibility alleles and the risk of breast cancer for BRCA1 and BRCA2 mutation carriers: implications for risk prediction

    Science.gov (United States)

    Antoniou, Antonis C; Beesley, Jonathan; McGuffog, Lesley; Sinilnikova, Olga M.; Healey, Sue; Neuhausen, Susan L.; Ding, Yuan Chun; Rebbeck, Timothy R.; Weitzel, Jeffrey N.; Lynch, Henry T.; Isaacs, Claudine; Ganz, Patricia A.; Tomlinson, Gail; Olopade, Olufunmilayo I.; Couch, Fergus J.; Wang, Xianshu; Lindor, Noralane M.; Pankratz, Vernon S.; Radice, Paolo; Manoukian, Siranoush; Peissel, Bernard; Zaffaroni, Daniela; Barile, Monica; Viel, Alessandra; Allavena, Anna; Dall’Olio, Valentina; Peterlongo, Paolo; Szabo, Csilla I.; Zikan, Michal; Claes, Kathleen; Poppe, Bruce; Foretova, Lenka; Mai, Phuong L.; Greene, Mark H.; Rennert, Gad; Lejbkowicz, Flavio; Glendon, Gord; Ozcelik, Hilmi; Andrulis, Irene L.; Thomassen, Mads; Gerdes, Anne-Marie; Sunde, Lone; Cruger, Dorthe; Jensen, Uffe Birk; Caligo, Maria; Friedman, Eitan; Kaufman, Bella; Laitman, Yael; Milgrom, Roni; Dubrovsky, Maya; Cohen, Shimrit; Borg, Ake; Jernström, Helena; Lindblom, Annika; Rantala, Johanna; Stenmark-Askmalm, Marie; Melin, Beatrice; Nathanson, Kate; Domchek, Susan; Jakubowska, Ania; Lubinski, Jan; Huzarski, Tomasz; Osorio, Ana; Lasa, Adriana; Durán, Mercedes; Tejada, Maria-Isabel; Godino, Javier; Benitez, Javier; Hamann, Ute; Kriege, Mieke; Hoogerbrugge, Nicoline; van der Luijt, Rob B; van Asperen, Christi J; Devilee, Peter; Meijers-Heijboer, E.J.; Blok, Marinus J; Aalfs, Cora M.; Hogervorst, Frans; Rookus, Matti; Cook, Margaret; Oliver, Clare; Frost, Debra; Conroy, Don; Evans, D. Gareth; Lalloo, Fiona; Pichert, Gabriella; Davidson, Rosemarie; Cole, Trevor; Cook, Jackie; Paterson, Joan; Hodgson, Shirley; Morrison, Patrick J.; Porteous, Mary E.; Walker, Lisa; Kennedy, M. John; Dorkins, Huw; Peock, Susan; Godwin, Andrew K.; Stoppa-Lyonnet, Dominique; de Pauw, Antoine; Mazoyer, Sylvie; Bonadona, Valérie; Lasset, Christine; Dreyfus, Hélène; Leroux, Dominique; Hardouin, Agnès; Berthet, Pascaline; Faivre, Laurence; Loustalot, Catherine; Noguchi, Tetsuro; Sobol, Hagay; Rouleau, Etienne; Nogues, Catherine; Frénay, Marc; Vénat-Bouvet, Laurence; Hopper, John L.; Daly, Mary B.; Terry, Mary B.; John, Esther M.; Buys, Saundra S.; Yassin, Yosuf; Miron, Alex; Goldgar, David; Singer, Christian F.; Dressler, Anne Catharina; Gschwantler-Kaulich, Daphne; Pfeiler, Georg; Hansen, Thomas V. O.; Jønson, Lars; Agnarsson, Bjarni A.; Kirchhoff, Tomas; Offit, Kenneth; Devlin, Vincent; Dutra-Clarke, Ana; Piedmonte, Marion; Rodriguez, Gustavo C.; Wakeley, Katie; Boggess, John F.; Basil, Jack; Schwartz, Peter E.; Blank, Stephanie V.; Toland, Amanda Ewart; Montagna, Marco; Casella, Cinzia; Imyanitov, Evgeny; Tihomirova, Laima; Blanco, Ignacio; Lazaro, Conxi; Ramus, Susan J.; Sucheston, Lara; Karlan, Beth Y.; Gross, Jenny; Schmutzler, Rita; Wappenschmidt, Barbara; Engel, Christoph; Meindl, Alfons; Lochmann, Magdalena; Arnold, Norbert; Heidemann, Simone; Varon-Mateeva, Raymonda; Niederacher, Dieter; Sutter, Christian; Deissler, Helmut; Gadzicki, Dorothea; Preisler-Adams, Sabine; Kast, Karin; Schönbuchner, Ines; Caldes, Trinidad; de la Hoya, Miguel; Aittomäki, Kristiina; Nevanlinna, Heli; Simard, Jacques; Spurdle, Amanda B.; Holland, Helene; Chen, Xiaoqing; Platte, Radka; Chenevix-Trench, Georgia; Easton, Douglas F.

    2010-01-01

    The known breast cancer (BC) susceptibility polymorphisms in FGFR2, TNRC9/TOX3, MAP3K1,LSP1 and 2q35 confer increased risks of BC for BRCA1 or BRCA2 mutation carriers. We evaluated the associations of three additional SNPs, rs4973768 in SLC4A7/NEK10, rs6504950 in STXBP4/COX11 and rs10941679 at 5p12 and reanalyzed the previous associations using additional carriers in a sample of 12,525 BRCA1 and 7,409 BRCA2 carriers. Additionally, we investigated potential interactions between SNPs and assessed the implications for risk prediction. The minor alleles of rs4973768 and rs10941679 were associated with increased BC risk for BRCA2 carriers (per-allele Hazard Ratio (HR)=1.10, 95%CI:1.03-1.18, p=0.006 and HR=1.09, 95%CI:1.01-1.19, p=0.03, respectively). Neither SNP was associated with BC risk for BRCA1 carriers and rs6504950 was not associated with BC for either BRCA1 or BRCA2 carriers. Of the nine polymorphisms investigated, seven were associated with BC for BRCA2 carriers (FGFR2, TOX3, MAP3K1, LSP1, 2q35, SLC4A7, 5p12, p-values:7×10−11-0.03), but only TOX3 and 2q35 were associated with the risk for BRCA1 carriers (p=0.0049, 0.03 respectively). All risk associated polymorphisms appear to interact multiplicatively on BC risk for mutation carriers. Based on the joint genotype distribution of the seven risk associated SNPs in BRCA2 mutation carriers, the 5% of BRCA2 carriers at highest risk (i.e. between 95th and 100th percentiles) were predicted to have a probability between 80% and 96% of developing BC by age 80, compared with 42-50% for the 5% of carriers at lowest risk. Our findings indicated that these risk differences may be sufficient to influence the clinical management of mutation carriers. PMID:21118973

  4. Tumor size interpretation for predicting cervical lymph node metastasis using a differentiated thyroid cancer risk model

    Science.gov (United States)

    Shi, Rong-liang; Qu, Ning; Yang, Shu-wen; Ma, Ben; Lu, Zhong-wu; Wen, Duo; Sun, Guo-hua; Wang, Yu; Ji, Qing-hai

    2016-01-01

    Lymph node metastasis (LNM) is common in differentiated thyroid cancer (DTC), but management of clinically negative DTC is controversial. This study evaluated primary tumor size as a predictor of LNM. Multivariate logistic regression analysis was used for DTC patients who were treated with surgery between 2002 and 2012 in the Surveillance, Epidemiology, and End Results (SEER) database, to determine the association of tumor size at 10 mm increments with LNM. A predictive model was then developed to estimate the risk of LNM in DTC, using tumor size and other clinicopathological characteristics identified from the multivariate analysis. We identified 80,565 eligible patients with DTC in the SEER database. Final histology confirmed 9,896 (12.3%) cases affected with N1a disease and 8,194 (10.2%) cases with N1b disease. After the patients were classified into subgroups by tumor size, we found that the percentages of male sex, white race, follicular histology, gross extrathyroidal extension, lateral lymph node metastasis, and distant metastasis gradually increased with size. In multivariate analysis, tumor size was a significant independent prognostic factor for LNM; in particular, the odds ratio for lateral lymph node metastasis continued to increase by size relative to a 1–10 mm baseline. The coefficient for tumor size in the LNM predictive model waŝ0.20, indicating extra change in log(odds ratio) for LNM as 0.2 per unit increment in size relative to baseline. In conclusion, larger tumors are likely to have aggressive features and metastasize to a cervical compartment. Multistratification by size could provide more precise estimates of the likelihood of LNM before surgery. PMID:27574443

  5. International multicenter tool to predict the risk of nonsentinel node metastases in breast cancer

    DEFF Research Database (Denmark)

    Meretoja, Tuomo J; Leidenius, Marjut H K; Heikkilä, Päivi S;

    2012-01-01

    Background Axillary treatment of breast cancer patients is undergoing a paradigm shift, as completion axillary lymph node dissections (ALNDs) are being questioned in the treatment of patients with tumor-positive sentinel nodes. This study aims to develop a novel multi-institutional predictive too...

  6. Alcohol and Cancer Risk

    Science.gov (United States)

    ... Overview Cancer Prevention Overview–for health professionals Research Alcohol and Cancer Risk On This Page What is ... in the risk of colorectal cancer. Research on alcohol consumption and other cancers: Numerous studies have examined ...

  7. Co-occurring gland angularity in localized subgraphs: predicting biochemical recurrence in intermediate-risk prostate cancer patients.

    Directory of Open Access Journals (Sweden)

    George Lee

    Full Text Available Quantitative histomorphometry (QH refers to the application of advanced computational image analysis to reproducibly describe disease appearance on digitized histopathology images. QH thus could serve as an important complementary tool for pathologists in interrogating and interpreting cancer morphology and malignancy. In the US, annually, over 60,000 prostate cancer patients undergo radical prostatectomy treatment. Around 10,000 of these men experience biochemical recurrence within 5 years of surgery, a marker for local or distant disease recurrence. The ability to predict the risk of biochemical recurrence soon after surgery could allow for adjuvant therapies to be prescribed as necessary to improve long term treatment outcomes. The underlying hypothesis with our approach, co-occurring gland angularity (CGA, is that in benign or less aggressive prostate cancer, gland orientations within local neighborhoods are similar to each other but are more chaotically arranged in aggressive disease. By modeling the extent of the disorder, we can differentiate surgically removed prostate tissue sections from (a benign and malignant regions and (b more and less aggressive prostate cancer. For a cohort of 40 intermediate-risk (mostly Gleason sum 7 surgically cured prostate cancer patients where half suffered biochemical recurrence, the CGA features were able to predict biochemical recurrence with 73% accuracy. Additionally, for 80 regions of interest chosen from the 40 studies, corresponding to both normal and cancerous cases, the CGA features yielded a 99% accuracy. CGAs were shown to be statistically signicantly ([Formula: see text] better at predicting BCR compared to state-of-the-art QH methods and postoperative prostate cancer nomograms.

  8. Beyond D’Amico risk classes for predicting recurrence after external beam radiotherapy for prostate cancer: the Candiolo classifier

    International Nuclear Information System (INIS)

    The aim of this work is to develop an algorithm to predict recurrence in prostate cancer patients treated with radical radiotherapy, getting up to a prognostic power higher than traditional D’Amico risk classification. Two thousand four hundred ninety-three men belonging to the EUREKA-2 retrospective multi-centric database on prostate cancer and treated with external-beam radiotherapy as primary treatment comprised the study population. A Cox regression time to PSA failure analysis was performed in univariate and multivariate settings, evaluating the predictive ability of age, pre-treatment PSA, clinical-radiological staging, Gleason score and percentage of positive cores at biopsy (%PC). The accuracy of this model was checked with bootstrapping statistics. Subgroups for all the variables’ combinations were combined to classify patients into five different “Candiolo” risk-classes for biochemical Progression Free Survival (bPFS); thereafter, they were also applied to clinical PFS (cPFS), systemic PFS (sPFS) and Prostate Cancer Specific Survival (PCSS), and compared to D’Amico risk grouping performances. The Candiolo classifier splits patients in 5 risk-groups with the following 10-years bPFS, cPFS, sPFS and PCSS: for very-low-risk 90 %, 94 %, 100 % and 100 %; for low-risk 74 %, 88 %, 94 % and 98 %; for intermediate-risk 60 %, 82 %, 91 % and 92 %; for high-risk 43 %, 55 %, 80 % and 89 % and for very-high-risk 14 %, 38 %, 56 % and 70 %. Our classifier outperforms D’Amico risk classes for all the end-points evaluated, with concordance indexes of 71.5 %, 75.5 %, 80 % and 80.5 % versus 63 %, 65.5 %, 69.5 % and 69 %, respectively. Our classification tool, combining five clinical and easily available parameters, seems to better stratify patients in predicting prostate cancer recurrence after radiotherapy compared to the traditional D’Amico risk classes. The online version of this article (doi:10.1186/s13014-016-0599-5) contains supplementary material, which

  9. Development of a novel approach for breast cancer prediction and early detection using minimally invasive procedures and molecular analysis: how cytomorphology became a breast cancer risk predictor.

    Science.gov (United States)

    Masood, Shahla

    2015-01-01

    With enhanced public awareness, advances in breast imaging, and emphasis on early breast cancer detection and prevention, more women are seeking consultation to assess the status of their breast health. Risk assessment has become an integral part of established multi-disciplinary breast care, and breast cancer risk reduction interventions have received a great deal of attention. Similarly, interest in identification of high-risk individuals has increased significantly. Atypical proliferative changes in breast epithelial cells are ranked high among various known breast cancer risk factors and, in recent years, have been the subject of several investigations. Breast tissue and fluid in the ductal system provide a rich source of cells and biomarkers that have the potential to aid in the assessment of short-term risk of breast cancer development, and assess responses to interventional prevention efforts. There are three minimally invasive procedures currently being utilized to sample breast tissue in asymptomatic high-risk individuals. These procedures are: fine-needle aspiration biopsy, nipple aspiration fluid, and ductal lavage. In this review article, the merits and limitations of each procedure are presented, and the contribution of cytomorphology and molecular analysis in breast cancer prediction is highlighted. In addition, the role of Masood Cytology Index as a surrogate endpoint biomarker in chemopreventative trials is discussed. PMID:25556774

  10. Contralateral breast cancer risk

    International Nuclear Information System (INIS)

    The use of breast-conserving treatment approaches for breast cancer has now become a standard option for early stage disease. Numerous randomized studies have shown medical equivalence when mastectomy is compared to lumpectomy followed by radiotherapy for the local management of this common problem. With an increased emphasis on patient involvement in the therapeutic decision making process, it is important to identify and quantify any unforeseen risks of the conservation approach. One concern that has been raised is the question of radiation- related contralateral breast cancer after breast radiotherapy. Although most studies do not show statistically significant evidence that patients treated with breast radiotherapy are at increased risk of developing contralateral breast cancer when compared to control groups treated with mastectomy alone, there are clear data showing the amount of scattered radiation absorbed by the contralateral breast during a routine course of breast radiotherapy is considerable (several Gy) and is therefore within the range where one might be concerned about radiogenic contralateral tumors. While radiation related risks of contralateral breast cancer appear to be small enough to be statistically insignificant for the majority of patients, there may exist a smaller subset which, for genetic or environmental reasons, is at special risk for scatter related second tumors. If such a group could be predicted, it would seem appropriate to offer either special counselling or special prevention procedures aimed at mitigating this second tumor risk. The use of genetic testing, detailed analysis of breast cancer family history, and the identification of patients who acquired their first breast cancer at a very early age may all be candidate screening procedures useful in identifying such at- risk groups. Since some risk mitigation strategies are convenient and easy to utilize, it makes sense to follow the classic 'ALARA' (as low as reasonably

  11. Meta-Prediction of MTHFR Gene Polymorphism Mutations and Associated Risk for Colorectal Cancer

    OpenAIRE

    Shiao, S. P. K.; Yu, C H

    2016-01-01

    The methylenetetrahydrofolate reductase (MTHFR) gene is one of the most investigated of the genes associated with chronic human diseases because of its associations with hyperhomocysteinemia and toxicity. It has been proposed as a prototype gene for the prevention of colorectal cancer (CRC). The major objectives of this meta-analysis were to examine the polymorphism-mutation patterns of MTHFR and their associations with risk for CRC as well as potential contributing factors for mutations and ...

  12. Melanoma Risk Prediction Models

    Science.gov (United States)

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

  13. Bone scintigraphy predicts the risk of spinal cord compression in hormone-refractory prostate cancer

    International Nuclear Information System (INIS)

    In prostate cancer, confirmation of metastatic involvement of the skeleton has traditionally been achieved by bone scintigraphy, although the widespread availability of prostate-specific antigen (PSA) measurements has tended to eliminate the need for this investigation. The potential of bone scintigraphy to predict skeletal-related events, particularly spinal cord compression, after the onset of hormone refractoriness has never been investigated. The aim of this study was to establish whether a new method of evaluating bone scintigraphy would offer a better predictive value for this complication of the metastatic process than is achieved with currently available grading methods. We studied 84 patients with hormone-refractory prostate cancer who had undergone bone scintigraphy at the time of hormone escape. Tumour grading and parameters of tumour load (PSA and alkaline phosphatase activity) were available in all patients. The incidence of spinal cord compression was documented and all patients were followed up until death. Bone scintigraphy was evaluated by the conventional Soloway grading and by an additional analysis determining total or partial involvement of individual vertebrae. In contrast to the Soloway method, the new method was able to predict spinal cord compression at various spinal levels. Our data suggest that there is still a place for bone scintigraphy in the management of hormone-refractory prostate cancer. (orig.)

  14. Common breast cancer susceptibility alleles and the risk of breast cancer for BRCA1 and BRCA2 mutation carriers: Implications for risk prediction

    NARCIS (Netherlands)

    A.C. Antoniou (Antonis); J. Beesley (Jonathan); L. McGuffog (Lesley); O. Sinilnikova (Olga); S. Healey (Sue); S.L. Neuhausen (Susan); Y.C. Ding (Yuan); R. Rebbeck (Timothy); J.N. Weitzel (Jeffrey); H. Lynch (Henry); C. Isaacs (Claudine); P.A. Ganz (Patricia); G. Tomlinson (Gail); O.I. Olopade (Olofunmilayo); F.J. Couch (Fergus); X. Wang (Xing); N.M. Lindor (Noralane); V.S. Pankratz (Shane); P. Radice (Paolo); S. Manoukian (Siranoush); B. Peissel (Bernard); D. Zaffaroni (D.); M. Barile (Monica); A. Viel (Alessandra); A. Allavena (Anna); V. Dall'Olio (Valentina); P. Peterlongo (Paolo); C. Szabo (Csilla); M. Zikan (Michal); K. Claes (Kathleen); B. Poppe (Bruce); L. Foretova (Lenka); P.L. Mai (Phuong); M.H. Greene (Mark); G. Rennert (Gad); F. Lejbkowicz (Flavio); G. Glendon (Gord); H. Ozcelik (Hilmi); I.L. Andrulis (Irene); M. Thomassen (Mads); A-M. Gerdes (Anne-Marie); L. Sunde (Lone); D. Cruger (Dorthe); U.B. Jensen; M.A. Caligo (Maria); E. Friedman (Eitan); B. Kaufman (Bella); Y. Laitman (Yael); R. Milgrom (Roni); M. Dubrovsky (Maya); S. Cohen (Shimrit); Å. Borg (Åke); H. Jernström (H.); A. Lindblom (Annika); J. Rantala (Johanna); M. Stenmark-Askmalm (M.); B. Melin (Beatrice); K.L. Nathanson (Katherine); S.M. Domchek (Susan); A. Jakubowska (Anna); J. Lubinski (Jan); T. Huzarski (Tomasz); A. Osorio (Ana); A. Lasa (Adriana); M. Durán (Mercedes); M.I. Tejada; J. Godino (Javier); J. Benitez (Javier); U. Hamann (Ute); M. Kriege (Mieke); N. Hoogerbrugge (Nicoline); R.B. van der Luijt (Rob); C.J. van Asperen (Christi); P. Devilee (Peter); E.J. Meijers-Heijboer (Hanne); M.J. Blok (Marinus); C.M. Aalfs (Cora); F.B.L. Hogervorst (Frans); M.A. Rookus (Matti); M. Cook (Margaret); C.T. Oliver (Clare); D. Frost (Debra); D. Conroy (Don); D.G. Evans (Gareth); F. Lalloo (Fiona); G. Pichert (Gabriella); R. Davidson (Rosemarie); T.J. Cole (Trevor); J. Paterson (Joan); S.V. Hodgson (Shirley); P.J. Morrison (Patrick); M.E. Porteous (Mary); L.J. Walker (Lisa); M.J. Kennedy (John); H. Dorkins (Huw); S. Peock (Susan); A.K. Godwin (Andrew); D. Stoppa-Lyonnet (Dominique); A. de Pauw (Antoine); S. Mazoyer (Sylvie); V. Bonadona (Valérie); C. Lasset (Christine); H. Dreyfus (Hélène); D. Leroux (Dominique); A. hardouin (Agnès); P. Berthet (Pascaline); L. Faivre (Laurence); C. Loustalot (Catherine); T. Noguchi (Tetsuro); H. Sobol (Hagay); E. Rouleau (Etienne); C. Nogues (Catherine); M. Frenay (Marc); L. Vénat-Bouvet (Laurence); J. Hopper (John); M.J. Daly (Mark); M-B. Terry (Mary-beth); E.M. John (Esther); S.S. Buys (Saundra); Y. Yassin (Yosuf); A. Miron (Alexander); D. Goldgar (David); C.F. Singer (Christian); C. Dressler (Catherina); D. Gschwantler-Kaulich (Daphne); G. Pfeiler (Georg); T.V.O. Hansen (Thomas); L. Jnson (Lars); B.A. Agnarsson (Bjarni); T. Kircchoff (Tomas); K. Offit (Kenneth); V. Devlin (Vincent); A. Dutra-Clarke (Ana); M. Piedmonte (Marion); G.C. Rodriguez (Gustavo); K. Wakeley (Katie); J.F. Boggess (John); J. Basil (Jack); P.E. Schwartz (Peter); S.V. Blank (Stephanie); A.E. Toland (Amanda); M. Montagna (Marco); C. Casella (Cinzia); E.N. Imyanitov (Evgeny); L. Tihomirova (Laima); I. Blanco (Ignacio); C. Lazaro (Conxi); S.J. Ramus (Susan); L. Sucheston (Lara); B.Y. Karlan (Beth); J. Gross (Jenny); R.K. Schmutzler (Rita); B. Wapenschmidt (Barbara); C. Engel (Christoph); A. Meindl (Alfons); M. Lochmann (Magdalena); N. Arnold (Norbert); S. Heidemann (Simone); R. Varon-Mateeva (Raymonda); D. Niederacher (Dieter); C. Sutter (Christian); H. Deissler (Helmut); D. Gadzicki (Dorothea); S. Preisler-Adams (Sabine); K. Kast (Karin); I. Schönbuchner (Ines); T. Caldes (Trinidad); M. de La Hoya (Miguel); K. Aittomäki (Kristiina); H. Nevanlinna (Heli); J. Simard (Jacques); A.B. Spurdle (Amanda); H. Holland (Helene); G. Chenevix-Trench (Georgia); R. Platte (Radka); D.F. Easton (Douglas)

    2010-01-01

    textabstractThe known breast cancer susceptibility polymorphisms in FGFR2, TNRC9/TOX3, MAP3K1, LSP1, and 2q35 confer increased risks of breast cancer for BRCA1 or BRCA2 mutation carriers. We evaluated the associations of 3 additional single nucleotide polymorphisms (SNPs), rs4973768 in SLC4A7/NEK10,

  15. Common Breast Cancer Susceptibility Alleles and the Risk of Breast Cancer for BRCA1 and BRCA2 Mutation Carriers : Implications for Risk Prediction

    NARCIS (Netherlands)

    Antoniou, Antonis C.; Beesley, Jonathan; McGuffog, Lesley; Sinilnikova, Olga M.; Healey, Sue; Neuhausen, Susan L.; Ding, Yuan Chun; Rebbeck, Timothy R.; Weitzel, Jeffrey N.; Lynch, Henry T.; Isaacs, Claudine; Ganz, Patricia A.; Tomlinson, Gail; Olopade, Olufunmilayo I.; Couch, Fergus J.; Wang, Xianshu; Lindor, Noralane M.; Pankratz, Vernon S.; Radice, Paolo; Manoukian, Siranoush; Peissel, Bernard; Zaffaroni, Daniela; Barile, Monica; Viel, Alessandra; Allavena, Anna; Dall'Olio, Valentina; Peterlongo, Paolo; Szabo, Csilla I.; Zikan, Michal; Claes, Kathleen; Poppe, Bruce; Foretova, Lenka; Mai, Phuong L.; Greene, Mark H.; Rennert, Gad; Lejbkowicz, Flavio; Glendon, Gord; Ozcelik, Hilmi; Andrulis, Irene L.; Thomassen, Mads; Gerdes, Anne-Marie; Sunde, Lone; Cruger, Dorthe; Jensen, Uffe Birk; Caligo, Maria; Friedman, Eitan; Kaufman, Bella; Laitman, Yael; Milgrom, Roni; Dubrovsky, Maya; Cohen, Shimrit; Borg, Ake; Jernstroem, Helena; Lindblom, Annika; Rantala, Johanna; Stenmark-Askmalm, Marie; Melin, Beatrice; Nathanson, Kate; Domchek, Susan; Jakubowska, Ania; Lubinski, Jan; Huzarski, Tomasz; Osorio, Ana; Lasa, Adriana; Duran, Mercedes; Tejada, Maria-Isabel; Godino, Javier; Benitez, Javier; Hamann, Ute; Kriege, Mieke; Hoogerbrugge, Nicoline; van der Luijt, Rob B.; van Asperen, Christi J.; Devilee, Peter; Meijers-Heijboer, E. J.; Blok, Marinus J.; Aalfs, Cora M.; Hogervorst, Frans; Rookus, Matti; Cook, Margaret; Oliver, Clare; Frost, Debra; Conroy, Don; Evans, D. Gareth; Lalloo, Fiona; Pichert, Gabriella; Davidson, Rosemarie; Cole, Trevor; Cook, Jackie; Paterson, Joan; Hodgson, Shirley; Morrison, Patrick J.; Porteous, Mary E.; Walker, Lisa; Kennedy, M. John; Dorkins, Huw; Peock, Susan; Godwin, Andrew K.; Stoppa-Lyonnet, Dominique; de Pauw, Antoine; Mazoyer, Sylvie; Bonadona, Valerie; Lasset, Christine; Dreyfus, Helene; Leroux, Dominique; Hardouin, Agnes; Berthet, Pascaline; Faivre, Laurence; Loustalot, Catherine; Noguchi, Tetsuro; Sobol, Hagay; Rouleau, Etienne; Nogues, Catherine; Frenay, Marc; Venat-Bouvet, Laurence; Hopper, John L.; Daly, Mary B.; Terry, Mary B.; John, Esther M.; Buys, Saundra S.; Yassin, Yosuf; Miron, Alexander; Goldgar, David; Singer, Christian F.; Dressler, Anne Catharina; Gschwantler-Kaulich, Daphne; Pfeiler, Georg; Hansen, Thomas V. O.; Jnson, Lars; Agnarsson, Bjarni A.; Kirchhoff, Tomas; Offit, Kenneth; Devlin, Vincent; Dutra-Clarke, Ana; Piedmonte, Marion; Rodriguez, Gustavo C.; Wakeley, Katie; Boggess, John F.; Basil, Jack; Schwartz, Peter E.; Blank, Stephanie V.; Toland, Amanda Ewart; Montagna, Marco; Casella, Cinzia; Imyanitov, Evgeny; Tihomirova, Laima; Blanco, Ignacio; Lazaro, Conxi; Ramus, Susan J.; Sucheston, Lara; Karlan, Beth Y.; Gross, Jenny; Schmutzler, Rita; Wappenschmidt, Barbara; Engel, Christoph; Meindl, Alfons; Lochmann, Magdalena; Arnold, Norbert; Heidemann, Simone; Varon-Mateeva, Raymonda; Niederacher, Dieter; Sutter, Christian; Deissler, Helmut; Gadzicki, Dorothea; Preisler-Adams, Sabine; Kast, Karin; Schoenbuchner, Ines; Caldes, Trinidad; de la Hoya, Miguel; Aittomaeki, Kristiina; Nevanlinna, Heli; Simard, Jacques; Spurdle, Amanda B.; Holland, Helene; Chen, Xiaoqing; Platte, Radka; Chenevix-Trench, Georgia; Easton, Douglas F.

    2010-01-01

    The known breast cancer susceptibility polymorphisms in FGFR2, TNRC9/TOX3, MAP3K1, LSP1, and 2q35 confer increased risks of breast cancer for BRCA1 or BRCA2 mutation carriers. We evaluated the associations of 3 additional single nucleotide polymorphisms (SNPs), rs4973768 in SLC4A7/NEK10, rs6504950 i

  16. Common Breast Cancer Susceptibility Alleles and the Risk of Breast Cancer for BRCA1 and BRCA2 Mutation Carriers: Implications for Risk Prediction

    NARCIS (Netherlands)

    A.C. Antoniou; J. Beesley; L. McGuffog; O.M. Sinilnikova; S. Healey; S.L. Neuhausen; Y.C. Ding; T.R. Rebbeck; J.N. Weitzel; H.T. Lynch; C. Isaacs; P.A. Ganz; G. Tomlinson; O.I. Olopade; F.J. Couch; X. Wang; N.M. Lindor; V.S. Pankratz; P. Radice; S. Manoukian; B. Peissel; D. Zaffaroni; M. Barile; A. Viel; A. Allavena; V. Dall'olio; P. Peterlongo; C.I. Szabo; M. Zikan; K. Claes; B. Poppe; L. Foretova; P.L. Mai; M.H. Greene; G. Rennert; F. Lejbkowicz; G. Glendon; H. Ozcelik; I.L. Andrulis; M. Thomassen; A.M. Gerdes; L. Sunde; D. Cruger; M. Caligo; E. Friedman; B. Kaufman; Y. Laitman; R. Milgrom; M. Dubrovsky; S. Cohen; A. Borg; H. Jernström; A. Lindblom; J. Rantala; M. Stenmark-Askmalm; B. Melin; K. Nathanson; S. Domchek; A. Jakubowska; J. Lubinski; T. Huzarski; A. Osorio; A. Lasa; M. Durán; M.I. Tejada; J. Godino; J. Benitez; U. Hamann; M. Kriege; N. Hoogerbrugge; R.B. van der Luijt; C.J. van Asperen; P. Devilee; E.J. Meijers-Heijboer; M.J. Blok; C.M. Aalfs; F. Hogervorst; M. Rookus; M. Cook; C. Oliver; D. Frost; D. Conroy; D.G. Evans; F. Lalloo; G. Pichert; R. Davidson; T. Cole; J. Cook; J. Paterson; S. Hodgson; P.J. Morrison; M.E. Porteous; L. Walker; M.J. Kennedy; H. Dorkins; S. Peock; A.K. Godwin; D. Stoppa-Lyonnet

    2010-01-01

    The known breast cancer susceptibility polymorphisms in FGFR2, TNRC9/TOX3, MAP3K1, LSP1, and 2q35 confer increased risks of breast cancer for BRCA1 or BRCA2 mutation carriers. We evaluated the associations of 3 additional single nucleotide polymorphisms (SNPs), rs4973768 in SLC4A7/NEK10, rs6504950 i

  17. Common breast cancer susceptibility alleles and the risk of breast cancer for BRCA1 and BRCA2 mutation carriers: implications for risk prediction

    DEFF Research Database (Denmark)

    Antoniou, Antonis C; Beesley, Jonathan; McGuffog, Lesley;

    2010-01-01

    The known breast cancer susceptibility polymorphisms in FGFR2, TNRC9/TOX3, MAP3K1, LSP1, and 2q35 confer increased risks of breast cancer for BRCA1 or BRCA2 mutation carriers. We evaluated the associations of 3 additional single nucleotide polymorphisms (SNPs), rs4973768 in SLC4A7/NEK10, rs650495...

  18. A Risk Prediction Model Based on Lymph-Node Metastasis in Poorly Differentiated-Type Intramucosal Gastric Cancer.

    Directory of Open Access Journals (Sweden)

    Jeung Hui Pyo

    Full Text Available Endoscopic submucosal dissection (ESD for undifferentiated type early gastric cancer is regarded as an investigational treatment. Few studies have tried to identify the risk factors that predict lymph-node metastasis (LNM in intramucosal poorly differentiated adenocarcinomas (PDC. This study was designed to develop a risk scoring system (RSS for predicting LNM in intramucosal PDC.From January 2002 to July 2015, patients diagnosed with mucosa-confined PDC, among those who underwent curative gastrectomy with lymph node dissection were reviewed. A risk model based on independent predicting factors of LNM was developed, and its performance was internally validated using a split sample approach.Overall, LNM was observed in 5.2% (61 of 1169 patients. Four risk factors [Female sex, tumor size ≥ 3.2 cm, muscularis mucosa (M3 invasion, and lymphatic-vascular involvement] were significantly associated with LNM, which were incorporated into the RSS. The area under the receiver operating characteristic curve for predicting LNM after internal validation was 0.69 [95% confidence interval (CI, 0.59-0.79]. A total score of 2 points corresponded to the optimal RSS threshold with a discrimination of 0.75 (95% CI 0.69-0.81. The LNM rates were 1.6% for low risk (<2 points and 8.9% for high-risk (≥2 points patients, with a negative predictive value of 98.6% (95% CI 0.98-1.00.A RSS could be useful in clinical practice to determine which patients with intramucosal PDC have low risk of LNM.

  19. Androgen receptor status predicts response to chemotherapy, not risk of breast cancer in Indian women

    Directory of Open Access Journals (Sweden)

    Chakraborty Anurupa

    2010-08-01

    Full Text Available Abstract Background Considerably little is known about the biological role and clinical significance of androgen receptor expression in breast cancer. The objectives of this study were to characterize AR-CAG repeat genotypes in a cohort of women with breast cancer and to determine the influence of AR on response to neoadjuvant chemotherapy and clinical outcome. Materials and methods Genotyping of the AR CAG repeat region was done on 70 patients and 80 healthy aged- matched female controls. To assess response to NACT, tissue samples from 30 LABC cases were evaluated quantitatively by real time for AR mRNA expression. The clinical response was correlated with both the pre and post chemotherapy AR expression. The CAG alleles did not show differences between cases and controls when the mean of short, long and average length of both CAG alleles was considered. However, analysis when done defining short allele as CAGn Conclusions Although, expansion of the CAGn in the AR gene doesn't show any major effect on breast cancer risk, patients with positive AR expression, pre neoadjuvant chemotherapy, were found to be good responders and a decrease in mRNA level of AR gene related to the chemotherapy-induced apoptosis could serve as an important independent predictor of response to NACT.

  20. Inherited polymorphisms in hyaluronan synthase 1 predict risk of systemic B-cell malignancies but not of breast cancer.

    Directory of Open Access Journals (Sweden)

    Hemalatha Kuppusamy

    Full Text Available Genetic variations in the hyaluronan synthase 1 gene (HAS1 influence HAS1 aberrant splicing. HAS1 is aberrantly spliced in malignant cells from multiple myeloma (MM and Waldenstrom macroglobulinemia (WM, but not in their counterparts from healthy donors. The presence of aberrant HAS1 splice variants predicts for poor survival in multiple myeloma (MM. We evaluated the influence of inherited HAS1 single nucleotide polymorphisms (SNP on the risk of having a systemic B cell malignancy in 1414 individuals compromising 832 patients and 582 healthy controls, including familial analysis of an Icelandic kindred. We sequenced HAS1 gene segments from 181 patients with MM, 98 with monoclonal gammopathy of undetermined significance (MGUS, 72 with Waldenstrom macroglobulinemia (WM, 169 with chronic lymphocytic leukemia (CLL, as well as 34 members of a monoclonal gammopathy-prone Icelandic family, 212 age-matched healthy donors and a case-control cohort of 295 breast cancer patients with 353 healthy controls. Three linked single nucleotide polymorphisms (SNP in HAS1 intron3 are significantly associated with B-cell malignancies (range p = 0.007 to p = 10(-5, but not MGUS or breast cancer, and predict risk in a 34 member Icelandic family (p = 0.005, Odds Ratio = 5.8 (OR, a relatively homogeneous cohort. In contrast, exon3 SNPs were not significantly different among the study groups. Pooled analyses showed a strong association between the linked HAS1 intron3 SNPs and B-cell malignancies (OR = 1.78, but not for sporadic MGUS or for breast cancer (OR<1.0. The minor allele genotypes of HAS1 SNPs are significantly more frequent in MM, WM, CLL and in affected members of a monoclonal gammopathy-prone family than they are in breast cancer, sporadic MGUS or healthy donors. These inherited changes may increase the risk for systemic B-cell malignancies but not for solid tumors.

  1. Use of an artificial neural network to predict risk factors of nosocomial infection in lung cancer patients.

    Science.gov (United States)

    Chen, Jie; Pan, Qin-Shi; Hong, Wan-Dong; Pan, Jingye; Zhang, Wen-Hui; Xu, Gang; Wang, Yu-Min

    2014-01-01

    Statistical methods to analyze and predict the related risk factors of nosocomial infection in lung cancer patients are various, but the results are inconsistent. A total of 609 patients with lung cancer were enrolled to allow factor comparison using Student's t-test or the Mann-Whitney test or the Chi-square test. Variables that were significantly related to the presence of nosocomial infection were selected as candidates for input into the final ANN model. The area under the receiver operating characteristic (ROC) curve (AUC) was used to evaluate the performance of the artificial neural network (ANN) model and logistic regression (LR) model. The prevalence of nosocomial infection from lung cancer in this entire study population was 20.1% (165/609), nosocomial infections occurring in sputum specimens (85.5%), followed by blood (6.73%), urine (6.0%) and pleural effusions (1.82%). It was shown that long term hospitalization (≥ 22 days, P= 0.000), poor clinical stage (IIIb and IV stage, P=0.002), older age (≥ 61 year old, P=0.023), and use the hormones were linked to nosocomial infection and the ANN model consisted of these four factors .The artificial neural network model with variables consisting of age, clinical stage, time of hospitalization, and use of hormones should be useful for predicting nosocomial infection in lung cancer cases.

  2. A prospective investigation of predictive and modifiable risk factors for breast cancer in unaffected BRCA1 and BRCA2 gene carriers

    International Nuclear Information System (INIS)

    Breast cancer is the most common female cancer worldwide. The lifetime risk of a woman being diagnosed with breast cancer is approximately 12.5%. For women who carry the deleterious mutation in either of the BRCA genes, BRCA1 or BRCA2, the risk of developing breast or ovarian cancer is significantly increased. In recent years there has been increased penetrance of BRCA1 and BRCA2 associated breast cancer, prompting investigation into the role of modifiable risk factors in this group. Previous investigations into this topic have relied on participants recalling lifetime weight changes and subjective methods of recording physical activity. The influence of obesity-related biomarkers, which may explain the link between obesity, physical activity and breast cancer risk, has not been investigated prospectively in this group. This paper describes the design of a prospective cohort study investigating the role of predictive and modifiable risk factors for breast cancer in unaffected BRCA1 and BRCA2 gene mutation carriers. Participants will be recruited from breast cancer family risk clinics and genetics clinics. Lifestyle risk factors that will be investigated will include body composition, metabolic syndrome and its components, physical activity and dietary intake. PBMC telomere length will be measured as a potential predictor of breast cancer occurrence. Measurements will be completed on entry to the study and repeated at two years and five years. Participants will also be followed annually by questionnaire to track changes in risk factor status and to record cancer occurrence. Data will be analysed using multiple regression models. The study has an accrual target of 352 participants. The results from this study will provide valuable information regarding the role of modifiable lifestyle risk factors for breast cancer in women with a deleterious mutation in the BRCA gene. Additionally, the study will attempt to identify potential blood biomarkers which may be predictive

  3. The REDUCE metagram: a comprehensive prediction tool for determining the utility of dutasteride chemoprevention in men at risk for prostate cancer

    Directory of Open Access Journals (Sweden)

    Carvell eNguyen

    2012-10-01

    Full Text Available Introduction: 5-alpha reductase inhibitors can reduce the risk of prostate cancer but can be associated with significant side effects. A library of nomograms which predict the risk of clinical endpoints relevant to dutasteride treatment may help determine if chemoprevention is suited to the individual patient. Methods: Data from the REDUCE trial was used to identify predictive factors for nine endpoints relevant to dutasteride treatment. Using the treatment and placebo groups from the biopsy cohort, Cox proportional hazards and competing risks regression models were used to build 18 nomograms, whose predictive ability was measured by concordance index and calibration plots. Results: A total of 18 nomograms assessing the risks of cancer, high-grade cancer, high grade prostatic intraepithelial neoplasia (HGPIN, atypical small acinar proliferation (ASAP, erectile dysfunction (ED, acute urinary retention (AUR, gynecomastia, urinary tract infection (UTI and BPH-related surgery either on or off dutasteride were created. The nomograms for cancer, high grade cancer, ED, AUR, and BPH-related surgery demonstrated good discrimination and calibration while those for gynecomastia, UTI, HGPIN, and ASAP predicted no better than random chance. Conclusions: To aid patients in determining whether the benefits of dutasteride use outweigh the risks, we have developed a comprehensive metagram that can generate individualized risks of 9 outcomes relevant to men considering chemoprevention. Better models based on more predictive markers are needed for some of the endpoints but the current metagram demonstrates potential as a tool for patient counseling and decision making that is accessible, intuitive, and clinically relevant.

  4. Computer-aided detection of lung cancer: combining pulmonary nodule detection systems with a tumor risk prediction model

    Science.gov (United States)

    Setio, Arnaud A. A.; Jacobs, Colin; Ciompi, Francesco; van Riel, Sarah J.; Winkler Wille, Mathilde M.; Dirksen, Asger; van Rikxoort, Eva M.; van Ginneken, Bram

    2015-03-01

    Computer-Aided Detection (CAD) has been shown to be a promising tool for automatic detection of pulmonary nodules from computed tomography (CT) images. However, the vast majority of detected nodules are benign and do not require any treatment. For effective implementation of lung cancer screening programs, accurate identification of malignant nodules is the key. We investigate strategies to improve the performance of a CAD system in detecting nodules with a high probability of being cancers. Two strategies were proposed: (1) combining CAD detections with a recently published lung cancer risk prediction model and (2) the combination of multiple CAD systems. First, CAD systems were used to detect the nodules. Each CAD system produces markers with a certain degree of suspicion. Next, the malignancy probability was automatically computed for each marker, given nodule characteristics measured by the CAD system. Last, CAD degree of suspicion and malignancy probability were combined using the product rule. We evaluated the method using 62 nodules which were proven to be malignant cancers, from 180 scans of the Danish Lung Cancer Screening Trial. The malignant nodules were considered as positive samples, while all other findings were considered negative. Using a product rule, the best proposed system achieved an improvement in sensitivity, compared to the best individual CAD system, from 41.9% to 72.6% at 2 false positives (FPs)/scan and from 56.5% to 88.7% at 8 FPs/scan. Our experiment shows that combining a nodule malignancy probability with multiple CAD systems can increase the performance of computerized detection of lung cancer.

  5. A nomogram based on age, prostate-specific antigen level, prostate volume and digital rectal examination for predicting risk of prostate cancer

    OpenAIRE

    Tang, Ping; CHEN, HUI; Uhlman, Matthew; Lin, Yu-Rong; Deng, Xiang-Rong; Wang, Bin; Yang, Wen-Jun; Xie, Ke-Ji

    2012-01-01

    Nomograms for predicting the risk of prostate cancer developed using other populations may introduce sizable bias when applied to a Chinese cohort. In the present study, we sought to develop a nomogram for predicting the probability of a positive initial prostate biopsy in a Chinese population. A total of 535 Chinese men who underwent a prostatic biopsy for the detection of prostate cancer in the past decade with complete biopsy data were included. Stepwise logistic regression was used to det...

  6. Understanding your colon cancer risk

    Science.gov (United States)

    Colon cancer risk factors are things that increase the chance that you could get cancer. Some risk factors ... risk factors never get cancer. Other people get colon cancer but do not have any known risk factors. ...

  7. IGFBP1 and IGFBP3 polymorphisms predict circulating IGFBP-3 levels among women from high-risk breast cancer families

    OpenAIRE

    Rosendahl, Ann; Hietala, Maria; Henningson, Maria; Olsson, Håkan; Jernström, Helena

    2010-01-01

    Abstract The insulin-like growth factor (IGF) pathway has been implicated as risk modifier in premenopausal breast cancer. In this study, associations between single nucleotide polymorphisms (SNPs) and diplotypes in the IGFBP1 and IGFBP3 genes and circulating IGFBP-3 levels, BRCA family status and breast cancer among women from high-risk breast cancer families were investigated. Nine IGFBP1 and IGFBP3 SNPs were genotyped with PCR-based methods in 323 women. Nine IGFBP1 and ten IGFB...

  8. The REDUCE metagram: a comprehensive prediction tool for determining the utility of dutasteride chemoprevention in men at risk for prostate cancer

    OpenAIRE

    Carvell eNguyen; Brandon eIsariyawongse; Changhong eYu; Michael eKattan

    2012-01-01

    Introduction: 5-alpha reductase inhibitors can reduce the risk of prostate cancer but can be associated with significant side effects. A library of nomograms which predict the risk of clinical endpoints relevant to dutasteride treatment may help determine if chemoprevention is suited to the individual patient. Methods: Data from the REDUCE trial was used to identify predictive factors for nine endpoints relevant to dutasteride treatment. Using the treatment and placebo groups from the bio...

  9. The REDUCE metagram: a comprehensive prediction tool for determining the utility of dutasteride chemoprevention in men at risk for prostate cancer

    OpenAIRE

    Nguyen, Carvell T.; Isariyawongse, Brandon; Yu, Changhong; Michael W Kattan

    2012-01-01

    Introduction: 5-alpha reductase inhibitors can reduce the risk of prostate cancer (PCa) but can be associated with significant side effects. A library of nomograms which predict the risk of clinical endpoints relevant to dutasteride treatment may help determine if chemoprevention is suited to the individual patient. Methods: Data from the REDUCE trial was used to identify predictive factors for 9 endpoints relevant to dutasteride treatment. Using the treatment and placebo groups from the biop...

  10. Visualizing Risk Prediction Models

    OpenAIRE

    Vanya Van Belle; Ben Van Calster

    2015-01-01

    Objective Risk prediction models can assist clinicians in making decisions. To boost the uptake of these models in clinical practice, it is important that end-users understand how the model works and can efficiently communicate its results. We introduce novel methods for interpretable model visualization. Methods The proposed visualization techniques are applied to two prediction models from the Framingham Heart Study for the prediction of intermittent claudication and stroke after atrial fib...

  11. A preoperative nomogram to predict the risk of synchronous distant metastases at diagnosis of primary breast cancer

    OpenAIRE

    Boutros, C.; Mazouni, C; Lerebours, F; Stevens, D; Lei, X.; Gonzalez-Angulo, A.M.; Delaloge, S.

    2015-01-01

    Background: The detection of synchronous metastases at primary diagnosis of breast cancer (BC) affects its initial management. A risk calculator that incorporates many factors to evaluate an individual's risk of harbouring synchronous metastases would be useful to adapt cancer management. Patients and Methods: Patients with primary diagnosis of BC were identified from three institutional databases sharing homogeneous work-up recommendations. A risk score for synchronous metastases was estimat...

  12. Genetically Predicted Body Mass Index and Breast Cancer Risk: Mendelian Randomization Analyses of Data from 145,000 Women of European Descent

    Science.gov (United States)

    Guo, Yan; Warren Andersen, Shaneda; Shu, Xiao-Ou; Michailidou, Kyriaki; Bolla, Manjeet K.; Wang, Qin; Garcia-Closas, Montserrat; Milne, Roger L.; Schmidt, Marjanka K.; Chang-Claude, Jenny; Dunning, Allison; Bojesen, Stig E.; Ahsan, Habibul; Aittomäki, Kristiina; Andrulis, Irene L.; Anton-Culver, Hoda; Beckmann, Matthias W.; Beeghly-Fadiel, Alicia; Benitez, Javier; Bogdanova, Natalia V.; Bonanni, Bernardo; Børresen-Dale, Anne-Lise; Brand, Judith; Brauch, Hiltrud; Brenner, Hermann; Brüning, Thomas; Burwinkel, Barbara; Casey, Graham; Chenevix-Trench, Georgia; Couch, Fergus J.; Cross, Simon S.; Czene, Kamila; Dörk, Thilo; Dumont, Martine; Fasching, Peter A.; Figueroa, Jonine; Flesch-Janys, Dieter; Fletcher, Olivia; Flyger, Henrik; Fostira, Florentia; Gammon, Marilie; Giles, Graham G.; Guénel, Pascal; Haiman, Christopher A.; Hamann, Ute; Hooning, Maartje J.; Hopper, John L.; Jakubowska, Anna; Jasmine, Farzana; Jenkins, Mark; John, Esther M.; Johnson, Nichola; Jones, Michael E.; Kabisch, Maria; Knight, Julia A.; Koppert, Linetta B.; Kosma, Veli-Matti; Kristensen, Vessela; Le Marchand, Loic; Lee, Eunjung; Li, Jingmei; Lindblom, Annika; Lubinski, Jan; Malone, Kathi E.; Mannermaa, Arto; Margolin, Sara; McLean, Catriona; Meindl, Alfons; Neuhausen, Susan L.; Nevanlinna, Heli; Neven, Patrick; Olson, Janet E.; Perez, Jose I. A.; Perkins, Barbara; Phillips, Kelly-Anne; Pylkäs, Katri; Rudolph, Anja; Santella, Regina; Sawyer, Elinor J.; Schmutzler, Rita K.; Seynaeve, Caroline; Shah, Mitul; Shrubsole, Martha J.; Southey, Melissa C.; Swerdlow, Anthony J.; Toland, Amanda E.; Tomlinson, Ian; Torres, Diana; Truong, Thérèse; Ursin, Giske; Van Der Luijt, Rob B.; Verhoef, Senno; Whittemore, Alice S.; Winqvist, Robert; Zhao, Hui; Zhao, Shilin; Hall, Per; Simard, Jacques; Kraft, Peter; Hunter, David; Easton, Douglas F.; Zheng, Wei

    2016-01-01

    Background Observational epidemiological studies have shown that high body mass index (BMI) is associated with a reduced risk of breast cancer in premenopausal women but an increased risk in postmenopausal women. It is unclear whether this association is mediated through shared genetic or environmental factors. Methods We applied Mendelian randomization to evaluate the association between BMI and risk of breast cancer occurrence using data from two large breast cancer consortia. We created a weighted BMI genetic score comprising 84 BMI-associated genetic variants to predicted BMI. We evaluated genetically predicted BMI in association with breast cancer risk using individual-level data from the Breast Cancer Association Consortium (BCAC) (cases  =  46,325, controls  =  42,482). We further evaluated the association between genetically predicted BMI and breast cancer risk using summary statistics from 16,003 cases and 41,335 controls from the Discovery, Biology, and Risk of Inherited Variants in Breast Cancer (DRIVE) Project. Because most studies measured BMI after cancer diagnosis, we could not conduct a parallel analysis to adequately evaluate the association of measured BMI with breast cancer risk prospectively. Results In the BCAC data, genetically predicted BMI was found to be inversely associated with breast cancer risk (odds ratio [OR]  =  0.65 per 5 kg/m2 increase, 95% confidence interval [CI]: 0.56–0.75, p = 3.32 × 10−10). The associations were similar for both premenopausal (OR   =   0.44, 95% CI:0.31–0.62, p  =  9.91 × 10−8) and postmenopausal breast cancer (OR  =  0.57, 95% CI: 0.46–0.71, p  =  1.88 × 10−8). This association was replicated in the data from the DRIVE consortium (OR  =  0.72, 95% CI: 0.60–0.84, p   =   1.64 × 10−7). Single marker analyses identified 17 of the 84 BMI-associated single nucleotide polymorphisms (SNPs) in association with breast cancer risk at p

  13. Identification and Validation of a New Set of Five Genes for Prediction of Risk in Early Breast Cancer

    Directory of Open Access Journals (Sweden)

    Giorgio Mustacchi

    2013-05-01

    Full Text Available Molecular tests predicting the outcome of breast cancer patients based on gene expression levels can be used to assist in making treatment decisions after consideration of conventional markers. In this study we identified a subset of 20 mRNA differentially regulated in breast cancer analyzing several publicly available array gene expression data using R/Bioconductor package. Using RTqPCR we evaluate 261 consecutive invasive breast cancer cases not selected for age, adjuvant treatment, nodal and estrogen receptor status from paraffin embedded sections. The biological samples dataset was split into a training (137 cases and a validation set (124 cases. The gene signature was developed on the training set and a multivariate stepwise Cox analysis selected five genes independently associated with DFS: FGF18 (HR = 1.13, p = 0.05, BCL2 (HR = 0.57, p = 0.001, PRC1 (HR = 1.51, p = 0.001, MMP9 (HR = 1.11, p = 0.08, SERF1a (HR = 0.83, p = 0.007. These five genes were combined into a linear score (signature weighted according to the coefficients of the Cox model, as: 0.125FGF18 − 0.560BCL2 + 0.409PRC1 + 0.104MMP9 − 0.188SERF1A (HR = 2.7, 95% CI = 1.9–4.0, p < 0.001. The signature was then evaluated on the validation set assessing the discrimination ability by a Kaplan Meier analysis, using the same cut offs classifying patients at low, intermediate or high risk of disease relapse as defined on the training set (p < 0.001. Our signature, after a further clinical validation, could be proposed as prognostic signature for disease free survival in breast cancer patients where the indication for adjuvant chemotherapy added to endocrine treatment is uncertain.

  14. An initial investigation on developing a new method to predict short-term breast cancer risk based on deep learning technology

    Science.gov (United States)

    Qiu, Yuchen; Wang, Yunzhi; Yan, Shiju; Tan, Maxine; Cheng, Samuel; Liu, Hong; Zheng, Bin

    2016-03-01

    In order to establish a new personalized breast cancer screening paradigm, it is critically important to accurately predict the short-term risk of a woman having image-detectable cancer after a negative mammographic screening. In this study, we developed and tested a novel short-term risk assessment model based on deep learning method. During the experiment, a number of 270 "prior" negative screening cases was assembled. In the next sequential ("current") screening mammography, 135 cases were positive and 135 cases remained negative. These cases were randomly divided into a training set with 200 cases and a testing set with 70 cases. A deep learning based computer-aided diagnosis (CAD) scheme was then developed for the risk assessment, which consists of two modules: adaptive feature identification module and risk prediction module. The adaptive feature identification module is composed of three pairs of convolution-max-pooling layers, which contains 20, 10, and 5 feature maps respectively. The risk prediction module is implemented by a multiple layer perception (MLP) classifier, which produces a risk score to predict the likelihood of the woman developing short-term mammography-detectable cancer. The result shows that the new CAD-based risk model yielded a positive predictive value of 69.2% and a negative predictive value of 74.2%, with a total prediction accuracy of 71.4%. This study demonstrated that applying a new deep learning technology may have significant potential to develop a new short-term risk predicting scheme with improved performance in detecting early abnormal symptom from the negative mammograms.

  15. A risk prediction algorithm for ovarian cancer incorporating BRCA1, BRCA2, common alleles and other familial effects

    Science.gov (United States)

    Jervis, Sarah; Song, Honglin; Lee, Andrew; Dicks, Ed; Harrington, Patricia; Baynes, Caroline; Manchanda, Ranjit; Easton, Douglas F; Jacobs, Ian; Pharoah, Paul P D; Antoniou, Antonis C

    2015-01-01

    Background Although BRCA1 and BRCA2 mutations account for only ∼27% of the familial aggregation of ovarian cancer (OvC), no OvC risk prediction model currently exists that considers the effects of BRCA1, BRCA2 and other familial factors. Therefore, a currently unresolved problem in clinical genetics is how to counsel women with family history of OvC but no identifiable BRCA1/2 mutations. Methods We used data from 1548 patients with OvC and their relatives from a population-based study, with known BRCA1/2 mutation status, to investigate OvC genetic susceptibility models, using segregation analysis methods. Results The most parsimonious model included the effects of BRCA1/2 mutations, and the residual familial aggregation was accounted for by a polygenic component (SD 1.43, 95% CI 1.10 to 1.86), reflecting the multiplicative effects of a large number of genes with small contributions to the familial risk. We estimated that 1 in 630 individuals carries a BRCA1 mutation and 1 in 195 carries a BRCA2 mutation. We extended this model to incorporate the explicit effects of 17 common alleles that are associated with OvC risk. Based on our models, assuming all of the susceptibility genes could be identified we estimate that the half of the female population at highest genetic risk will account for 92% of all OvCs. Conclusions The resulting model can be used to obtain the risk of developing OvC on the basis of BRCA1/2, explicit family history and common alleles. This is the first model that accounts for all OvC familial aggregation and would be useful in the OvC genetic counselling process. PMID:26025000

  16. Stomach Cancer Risk Questionnaire

    Science.gov (United States)

    ... Jewish Hospital and Washington University School of Medicine Stomach cancer is fairly rare in the US, but ... the early stages. To estimate your risk of stomach cancer and learn about ways to lower that ...

  17. Comparative study of joint analysis of microarray gene expression data in survival prediction and risk assessment of breast cancer patients.

    Science.gov (United States)

    Yasrebi, Haleh

    2016-09-01

    Microarray gene expression data sets are jointly analyzed to increase statistical power. They could either be merged together or analyzed by meta-analysis. For a given ensemble of data sets, it cannot be foreseen which of these paradigms, merging or meta-analysis, works better. In this article, three joint analysis methods, Z-score normalization, ComBat and the inverse normal method (meta-analysis) were selected for survival prognosis and risk assessment of breast cancer patients. The methods were applied to eight microarray gene expression data sets, totaling 1324 patients with two clinical endpoints, overall survival and relapse-free survival. The performance derived from the joint analysis methods was evaluated using Cox regression for survival analysis and independent validation used as bias estimation. Overall, Z-score normalization had a better performance than ComBat and meta-analysis. Higher Area Under the Receiver Operating Characteristic curve and hazard ratio were also obtained when independent validation was used as bias estimation. With a lower time and memory complexity, Z-score normalization is a simple method for joint analysis of microarray gene expression data sets. The derived findings suggest further assessment of this method in future survival prediction and cancer classification applications.

  18. Race-specific genetic risk score is more accurate than nonrace-specific genetic risk score for predicting prostate cancer and high-grade diseases

    Science.gov (United States)

    Na, Rong; Ye, Dingwei; Qi, Jun; Liu, Fang; Lin, Xiaoling; Helfand, Brian T; Brendler, Charles B; Conran, Carly; Gong, Jian; Wu, Yishuo; Gao, Xu; Chen, Yaqing; Zheng, S Lilly; Mo, Zengnan; Ding, Qiang; Sun, Yinghao; Xu, Jianfeng

    2016-01-01

    Genetic risk score (GRS) based on disease risk-associated single nucleotide polymorphisms (SNPs) is an informative tool that can be used to provide inherited information for specific diseases in addition to family history. However, it is still unknown whether only SNPs that are implicated in a specific racial group should be used when calculating GRSs. The objective of this study is to compare the performance of race-specific GRS and nonrace-specific GRS for predicting prostate cancer (PCa) among 1338 patients underwent prostate biopsy in Shanghai, China. A race-specific GRS was calculated with seven PCa risk-associated SNPs implicated in East Asians (GRS7), and a nonrace-specific GRS was calculated based on 76 PCa risk-associated SNPs implicated in at least one racial group (GRS76). The means of GRS7 and GRS76 were 1.19 and 1.85, respectively, in the study population. Higher GRS7 and GRS76 were independent predictors for PCa and high-grade PCa in univariate and multivariate analyses. GRS7 had a better area under the receiver-operating curve (AUC) than GRS76 for discriminating PCa (0.602 vs 0.573) and high-grade PCa (0.603 vs 0.575) but did not reach statistical significance. GRS7 had a better (up to 13% at different cutoffs) positive predictive value (PPV) than GRS76. In conclusion, a race-specific GRS is more robust and has a better performance when predicting PCa in East Asian men than a GRS calculated using SNPs that are not shown to be associated with East Asians. PMID:27140652

  19. CHRNA5 risk variant predicts delayed smoking cessation and earlier lung cancer diagnosis--a meta-analysis

    NARCIS (Netherlands)

    Chen, L.S.; Hung, R.J.; Baker, T.; Horton, A.; Culverhouse, R.; Saccone, N.; Cheng, I.; Deng, B.; Han, Y.; Hansen, H.M.; Horsman, J.; Kim, C.; Lutz, S.; Rosenberger, A.; Aben, K.K.H.; Andrew, A.S.; Breslau, N.; Chang, S.C.; Dieffenbach, A.K.; Dienemann, H.; Frederiksen, B.; Han, J.; Hatsukami, D.K.; Johnson, E.O.; Pande, M.; Wrensch, M.R.; McLaughlin, J.; Skaug, V.; Heijden, H.F. van der; Wampfler, J.; Wenzlaff, A.; Woll, P.; Zienolddiny, S.; Bickeboller, H.; Brenner, H.; Duell, E.J.; Haugen, A.; Heinrich, J.; Hokanson, J.E.; Hunter, D.J.; Kiemeney, B.; Lazarus, P.; Marchand, L. Le; Liu, G.; Mayordomo, J.; Risch, A.; Schwartz, A.G.; Teare, D.; Wu, X.; Wiencke, J.K.; Yang, P.; Zhang, Z.F.; Spitz, M.R.; Kraft, P.; Amos, C.I.; Bierut, L.J.

    2015-01-01

    BACKGROUND: Recent meta-analyses show strong evidence of associations among genetic variants in CHRNA5 on chromosome 15q25, smoking quantity, and lung cancer. This meta-analysis tests whether the CHRNA5 variant rs16969968 predicts age of smoking cessation and age of lung cancer diagnosis. METHODS: M

  20. The Proliferative Activity of Mammary Epithelial Cells in Normal Tissue Predicts Breast Cancer Risk in Premenopausal Women.

    Science.gov (United States)

    Huh, Sung Jin; Oh, Hannah; Peterson, Michael A; Almendro, Vanessa; Hu, Rong; Bowden, Michaela; Lis, Rosina L; Cotter, Maura B; Loda, Massimo; Barry, William T; Polyak, Kornelia; Tamimi, Rulla M

    2016-04-01

    The frequency and proliferative activity of tissue-specific stem and progenitor cells are suggested to correlate with cancer risk. In this study, we investigated the association between breast cancer risk and the frequency of mammary epithelial cells expressing p27, estrogen receptor (ER), and Ki67 in normal breast tissue. We performed a nested case-control study of 302 women (69 breast cancer cases, 233 controls) who had been initially diagnosed with benign breast disease according to the Nurses' Health Studies. Immunofluorescence for p27, ER, and Ki67 was performed on tissue microarrays constructed from benign biopsies containing normal mammary epithelium and scored by computational image analysis. We found that the frequency of Ki67(+) cells was positively associated with breast cancer risk among premenopausal women [OR = 10.1, 95% confidence interval (CI) = 2.12-48.0]. Conversely, the frequency of ER(+) or p27(+) cells was inversely, but not significantly, associated with subsequent breast cancer risk (ER(+): OR = 0.70, 95% CI, 0.33-1.50; p27(+): OR = 0.89, 95% CI, 0.45-1.75). Notably, high Ki67(+)/low p27(+) and high Ki67(+)/low ER(+) cell frequencies were significantly associated with a 5-fold higher risk of breast cancer compared with low Ki67(+)/low p27(+) and low Ki67(+)/low ER(+) cell frequencies, respectively, among premenopausal women (Ki67(hi)/p27(lo): OR = 5.08, 95% CI, 1.43-18.1; Ki67(hi)/ER(lo): OR = 4.68, 95% CI, 1.63-13.5). Taken together, our data suggest that the fraction of actively cycling cells in normal breast tissue may represent a marker for breast cancer risk assessment, which may therefore impact the frequency of screening procedures in at-risk women. Cancer Res; 76(7); 1926-34. ©2016 AACR.

  1. A steroid metabolizing gene variant in a polyfactorial model improves risk prediction in a high incidence breast cancer population

    Directory of Open Access Journals (Sweden)

    Eldon R. Jupe

    2014-12-01

    Conclusions and general significance: Since the optimized PFRM consistently outperformed BCRAT in all Caucasian study populations, it represents an improved personalized risk assessment tool. The finding of higher Marin County risk linked to a CYP11B2 aldosterone synthase SNP associated with essential hypertension offers a new genetic clue to sporadic breast cancer predisposition.

  2. Tumor size interpretation for predicting cervical lymph node metastasis using a differentiated thyroid cancer risk model

    OpenAIRE

    Qu, Ning; Shi, Rong-liang; Yang,Shu-wen; Ma,Ben; Lu, Zhong-Wu; Wen, Duo; Sun, Guo-hua; Wang, Yu; Ji, Qing-Hai

    2016-01-01

    Rong-liang Shi,1–3,* Ning Qu,1,2,* Shu-wen Yang,1,2 Ben Ma,1,2 Zhong-wu Lu,1,2 Duo Wen,1,2 Guo-hua Sun,1,2 Yu Wang,1,2 Qing-hai Ji1,2 1Department of Head and Neck Surgery, Fudan University Shanghai Cancer Center, 2Department of Oncology, Shanghai Medical College, Fudan University, 3Department of General Surgery, Minhang Hospital, Fudan University, Shanghai, People’s Republic of China *These authors contributed equally to this work Abstract: Lymph node metastasi...

  3. Risk prediction for breast, endometrial, and ovarian cancer in white women aged 50 y or older: derivation and validation from population-based cohort studies.

    Directory of Open Access Journals (Sweden)

    Ruth M Pfeiffer

    Full Text Available BACKGROUND: Breast, endometrial, and ovarian cancers share some hormonal and epidemiologic risk factors. While several models predict absolute risk of breast cancer, there are few models for ovarian cancer in the general population, and none for endometrial cancer. METHODS AND FINDINGS: Using data on white, non-Hispanic women aged 50+ y from two large population-based cohorts (the Prostate, Lung, Colorectal, and Ovarian Cancer Screening Trial [PLCO] and the National Institutes of Health-AARP Diet and Health Study [NIH-AARP], we estimated relative and attributable risks and combined them with age-specific US-population incidence and competing mortality rates. All models included parity. The breast cancer model additionally included estrogen and progestin menopausal hormone therapy (MHT use, other MHT use, age at first live birth, menopausal status, age at menopause, family history of breast or ovarian cancer, benign breast disease/biopsies, alcohol consumption, and body mass index (BMI; the endometrial model included menopausal status, age at menopause, BMI, smoking, oral contraceptive use, MHT use, and an interaction term between BMI and MHT use; the ovarian model included oral contraceptive use, MHT use, and family history or breast or ovarian cancer. In independent validation data (Nurses' Health Study cohort the breast and ovarian cancer models were well calibrated; expected to observed cancer ratios were 1.00 (95% confidence interval [CI]: 0.96-1.04 for breast cancer and 1.08 (95% CI: 0.97-1.19 for ovarian cancer. The number of endometrial cancers was significantly overestimated, expected/observed = 1.20 (95% CI: 1.11-1.29. The areas under the receiver operating characteristic curves (AUCs; discriminatory power were 0.58 (95% CI: 0.57-0.59, 0.59 (95% CI: 0.56-0.63, and 0.68 (95% CI: 0.66-0.70 for the breast, ovarian, and endometrial models, respectively. CONCLUSIONS: These models predict absolute risks for breast, endometrial, and ovarian

  4. Pancreatic Cancer Risk Factors

    Science.gov (United States)

    ... factors can affect a person’s chance of getting cancer of the pancreas. Most of these are risk factors for exocrine ... Chronic pancreatitis, a long-term inflammation of the pancreas, is linked with an increased risk of pancreatic cancer (especially in smokers), but most people with pancreatitis ...

  5. Robust and validated models to predict high risk of non-sentinel node metastases in breast cancer patients with micrometastases or isolated tumor cells in the sentinel node

    DEFF Research Database (Denmark)

    Tvedskov, Tove F; Jensen, Maj-Britt; Balslev, Eva;

    2014-01-01

    BACKGROUND: Benefit from axillary lymph node dissection in sentinel node positive breast cancer patients is under debate. Based on data from 1820 Danish breast cancer patients operated in 2002-2008, we have developed two models to predict high risk of non-sentinel node metastases when...... axillary lymph node dissection should still be considered....... micrometastases or isolated tumor cells are found in sentinel node. The aim of this study was to validate these models in an independent Danish dataset. MATERIAL AND METHODS: We included 720 breast cancer patients with micrometastases and 180 with isolated tumor cells in sentinel node operated in 2009-2010 from...

  6. Discovery of potential prognostic long non-coding RNA biomarkers for predicting the risk of tumor recurrence of breast cancer patients.

    Science.gov (United States)

    Zhou, Meng; Zhong, Lei; Xu, Wanying; Sun, Yifan; Zhang, Zhaoyue; Zhao, Hengqiang; Yang, Lei; Sun, Jie

    2016-01-01

    Deregulation of long non-coding RNAs (lncRNAs) expression has been proven to be involved in the development and progression of cancer. However, expression pattern and prognostic value of lncRNAs in breast cancer recurrence remain unclear. Here, we analyzed lncRNA expression profiles of breast cancer patients who did or did not develop recurrence by repurposing existing microarray datasets from the Gene Expression Omnibus database, and identified 12 differentially expressed lncRNAs that were closely associated with tumor recurrence of breast cancer patients. We constructed a lncRNA-focus molecular signature by the risk scoring method based on the expression levels of 12 relapse-related lncRNAs from the discovery cohort, which classified patients into high-risk and low-risk groups with significantly different recurrence-free survival (HR = 2.72, 95% confidence interval 2.07-3.57; p = 4.8e-13). The 12-lncRNA signature also represented similar prognostic value in two out of three independent validation cohorts. Furthermore, the prognostic power of the 12-lncRNA signature was independent of known clinical prognostic factors in at least two cohorts. Functional analysis suggested that the predicted relapse-related lncRNAs may be involved in known breast cancer-related biological processes and pathways. Our results highlighted the potential of lncRNAs as novel candidate biomarkers to identify breast cancer patients at high risk of tumor recurrence. PMID:27503456

  7. The value of preoperative lung spirometry test for predicting the operative risk in patients undergoing gastric cancer surgery

    OpenAIRE

    Jeong, Oh; Ryu, Seong Yeop; Park, Young Kyu

    2012-01-01

    Purpose We evaluated the predictive value of preoperative lung spirometry test for postoperative morbidity and the nature of complications related to an abnormal pulmonary function after gastric cancer surgery. Methods Between February 2009 and March 2010, 538 gastric cancer patients who underwent laparoscopic (n = 247) and open gastrectomy (n = 291) were divided into the normal (forced expiratory volume in 1 second [FEV1]/forced vital capacity [FVC] ≥ 0.7, n = 441) and abnormal pulmonary fun...

  8. A predictive tool to estimate the risk of axillary metastases in breast cancer patients with negative axillary ultrasound

    DEFF Research Database (Denmark)

    Meretoja, T J; Heikkilä, P S; Mansfield, A S;

    2014-01-01

    of this study was to evaluate the risk factors for axillary metastases in breast cancer patients with negative preoperative axillary ultrasound. METHODS: A total of 1,395 consecutive patients with invasive breast cancer and SNB formed the original patient series. A univariate analysis was conducted to assess...... of axillary lymph node metastases in patients with clinically node-negative breast cancer. The model performs well in internal and external validation. The model needs to be validated in each center before application to clinical use....

  9. Melanoma risk prediction models

    Directory of Open Access Journals (Sweden)

    Nikolić Jelena

    2014-01-01

    Full Text Available Background/Aim. The lack of effective therapy for advanced stages of melanoma emphasizes the importance of preventive measures and screenings of population at risk. Identifying individuals at high risk should allow targeted screenings and follow-up involving those who would benefit most. The aim of this study was to identify most significant factors for melanoma prediction in our population and to create prognostic models for identification and differentiation of individuals at risk. Methods. This case-control study included 697 participants (341 patients and 356 controls that underwent extensive interview and skin examination in order to check risk factors for melanoma. Pairwise univariate statistical comparison was used for the coarse selection of the most significant risk factors. These factors were fed into logistic regression (LR and alternating decision trees (ADT prognostic models that were assessed for their usefulness in identification of patients at risk to develop melanoma. Validation of the LR model was done by Hosmer and Lemeshow test, whereas the ADT was validated by 10-fold cross-validation. The achieved sensitivity, specificity, accuracy and AUC for both models were calculated. The melanoma risk score (MRS based on the outcome of the LR model was presented. Results. The LR model showed that the following risk factors were associated with melanoma: sunbeds (OR = 4.018; 95% CI 1.724- 9.366 for those that sometimes used sunbeds, solar damage of the skin (OR = 8.274; 95% CI 2.661-25.730 for those with severe solar damage, hair color (OR = 3.222; 95% CI 1.984-5.231 for light brown/blond hair, the number of common naevi (over 100 naevi had OR = 3.57; 95% CI 1.427-8.931, the number of dysplastic naevi (from 1 to 10 dysplastic naevi OR was 2.672; 95% CI 1.572-4.540; for more than 10 naevi OR was 6.487; 95%; CI 1.993-21.119, Fitzpatricks phototype and the presence of congenital naevi. Red hair, phototype I and large congenital naevi were

  10. Evidence that Natural Immunity to Breast Cancer and Prostate Cancer Exists in the Majority of Their Risk Populations Is Predicted by a Novel, Inherently Saturated, Ordered Mutation Model

    Directory of Open Access Journals (Sweden)

    Ivan Kramer

    2008-01-01

    Full Text Available The series of ordered mutations that cause a specific cell to become cancerous is modeled so that the fraction of a risk population (e.g. White men that has developed a specific cancer (e.g. melanoma at any age can be calculated. The saturated model constructed and solved here is isomorphic to the physical model describing an ordered chain of radioactive nuclei decays with the exception that it allows for the possibility that a fraction of a risk population may be immune to developing a specific cancer.

  11. [The Dutch Cancer Society Cancer Risk Test].

    NARCIS (Netherlands)

    Elias, S.; Grooters, H.G.; Bausch-Goldbohm, R.A.; Brandt, P.A. van den; Kampman, E.; Leeuwen, F.E. van; Peeters, P.H.M.; Vries, E. de; Wigger, S.; Kiemeney, L.A.L.M.

    2012-01-01

    The Dutch Cancer Society developed the 'KWF Kanker Risico Test' (Cancer Risk Test) to improve the information available to the Dutch population regarding cancer risk factors. This Internet test, based under licence on the American 'Your Disease Risk' test, informs users about risk factors for 12 com

  12. Gene Expression Profiling Predicts the Development of Oral Cancer

    OpenAIRE

    Saintigny, Pierre; Zhang, Li; Fan, You-Hong; El-Naggar, Adel K.; Papadimitrakopoulou, Vali; Feng, Lei; Lee, J. Jack; Kim, Edward S.; Hong, Waun Ki; Mao, Li

    2011-01-01

    Patients with oral preneoplastic lesion (OPL) have high risk of developing oral cancer. Although certain risk factors such as smoking status and histology are known, our ability to predict oral cancer risk remains poor. The study objective was to determine the value of gene expression profiling in predicting oral cancer development. Gene expression profile was measured in 86 of 162 OPL patients who were enrolled in a clinical chemoprevention trial that used the incidence of oral cancer develo...

  13. Tumor angiogenesis as prognostic and predictive marker for chemotherapy dose-intensification efficacy in high-risk breast cancer patients within the WSG AM-01 trial

    OpenAIRE

    Gluz, Oleg; Wild, Peter; Liedtke, Cornelia; Kates, Ronald; Mendrik, Heiko; Ehm, Elisabeth; Artinger, Verena; Diallo-Danebrock, Raihanatou; Ting, Evelyn; Mohrmann, Svjetlana; Poremba, Christopher; Harbeck, Nadia; Nitz, Ulrike; Hartmann, Arndt; Gaumann, Andreas

    2011-01-01

    Abstract The goal of this analysis was to characterize the survival impact of angiogenesis in the patients with high-risk breast cancer, particularly the predictive impact on benefit from dose intensification of adjuvant chemotherapy. Formalin-fixed tissue sample of 152 patients treated as part of the WSG AM-01 trial by either high-dose or conventional dose-dense chemotherapy were analyzed. Angiogenic activity was measured using microvessel count and vascular surface area (VSA) det...

  14. Prevalence of delirium among patients at a cancer ward: Clinical risk factors and prediction by bedside cognitive tests.

    Science.gov (United States)

    Grandahl, Mia Gall; Nielsen, Svend Erik; Koerner, Ejnar Alex; Schultz, Helga Holm; Arnfred, Sidse Marie

    2016-08-01

    Background Delirium is a frequent psychiatric complication to cancer, but rarely recognized by oncologists. Aims 1. To estimate the prevalence of delirium among inpatients admitted at an oncological cancer ward 2. To investigate whether simple clinical factors predict delirium 3. To examine the value of cognitive testing in the assessment of delirium. Methods On five different days, we interviewed and assessed patients admitted to a Danish cancer ward. The World Health Organization International Classification of Diseases Version 10, WHO ICD-10 Diagnostic System and the Confusion Assessment Method (CAM) were used for diagnostic categorization. Clinical information was gathered from medical records and all patients were tested with Mini Cognitive Test, The Clock Drawing Test, and the Digit Span Test. Results 81 cancer patients were assessed and 33% were diagnosed with delirium. All delirious participants were CAM positive. Poor performance on the cognitive tests was associated with delirium. Medical records describing CNS metastases, benzodiazepine or morphine treatment were associated with delirium. Conclusions Delirium is prevalent among cancer inpatients. The Mini Cognitive Test, The Clock Drawing Test, and the Digit Span Test can be used as screening tools for delirium among inpatients with cancer, but even in synergy, they lack specificity. Combining cognitive testing and attention to nurses' records might improve detection, yet further studies are needed to create a more detailed patient profile for the detection of delirium. PMID:26882016

  15. Refinement of the prediction of N-acetyltransferase 2 (NAT2) phenotypes with respect to enzyme activity and urinary bladder cancer risk.

    Science.gov (United States)

    Selinski, Silvia; Blaszkewicz, Meinolf; Ickstadt, Katja; Hengstler, Jan G; Golka, Klaus

    2013-12-01

    Polymorphisms of N-acetyltransferase 2 (NAT2) are well known to modify urinary bladder cancer risk as well as efficacy and toxicity of pharmaceuticals via reduction in the enzyme's acetylation capacity. Nevertheless, the discussion about optimal NAT2 phenotype prediction, particularly differentiation between different degrees of slow acetylation, is still controversial. Therefore, we investigated the impact of single nucleotide polymorphisms and their haplotypes on slow acetylation in vivo and on bladder cancer risk. For this purpose, we used a study cohort of 1,712 bladder cancer cases and 2,020 controls genotyped for NAT2 by RFLP-PCR and for the tagSNP rs1495741 by TaqMan(®) assay. A subgroup of 344 individuals was phenotyped by the caffeine test in vivo. We identified an 'ultra-slow' acetylator phenotype based on combined *6A/*6A, *6A/*7B and *7B/*7B genotypes containing the homozygous minor alleles of C282T (rs1041983, *6A, *7B) and G590A (rs1799930, *6A). 'Ultra-slow' acetylators have significantly about 32 and 46 % lower activities of caffeine metabolism compared with other slow acetylators and with the *5B/*5B genotypes, respectively (P < 0.01, both). The 'ultra-slow' genotype showed an association with bladder cancer risk in the univariate analysis (OR = 1.31, P = 0.012) and a trend adjusted for age, gender and smoking habits (OR = 1.22, P = 0.082). In contrast, slow acetylators in general were not associated with bladder cancer risk, neither in the univariate (OR = 1.02, P = 0.78) nor in the adjusted (OR = 0.98, P = 0.77) analysis. In conclusion, this study suggests that NAT2 phenotype prediction should be refined by consideration of an 'ultra-slow' acetylation genotype.

  16. [The Dutch Cancer Society Cancer Risk Test].

    Science.gov (United States)

    Elias, Sjoerd G; Grooters, Hilda G; Bausch-Goldbohm, R A Sandra; van den Brandt, Piet A; Kampman, Ellen; van Leeuwen, Flora E; Peeters, Petra H M; de Vries, Esther; Wigger, Stefan; Kiemeney, L A L M Bart

    2012-01-01

    The Dutch Cancer Society developed the 'KWF Kanker Risico Test' (Cancer Risk Test) to improve the information available to the Dutch population regarding cancer risk factors. This Internet test, based under licence on the American 'Your Disease Risk' test, informs users about risk factors for 12 common types of cancer. The test provides an estimate of individual risk of a specific type of cancer and gives specific lifestyle advice that could lower that risk. This paper describes the development of the test, how it works, and its strengths and limitations.

  17. A prospective investigation of predictive and modifiable risk factors for breast cancer in unaffected BRCA1 and BRCA2 gene carriers

    OpenAIRE

    O'Sullivan, Jacintha

    2013-01-01

    Background Breast cancer is the most common female cancer worldwide. The lifetime risk of a woman being diagnosed with breast cancer is approximately 12.5%. For women who carry the deleterious mutation in either of the BRCA genes, BRCA1 or BRCA2, the risk of developing breast or ovarian cancer is significantly increased. In recent years there has been increased penetrance of BRCA1 and BRCA2 associated breast cancer, prompting investigation into the role of modifiable risk factors in this ...

  18. Clinical prediction rule for nonmelanoma skin cancer

    Directory of Open Access Journals (Sweden)

    John Alexander Nova

    2015-01-01

    Full Text Available Background: Skin cancer is the most frequent neoplasia in the world. Even though ultraviolet radiation is the main cause, established prevention campaigns have not proved to be effective for controlling the incidence of this disease. Objective: To develop clinical prediction rules based on medical consultation and a questionnaire to estimate the risk of developing nonmelanoma skin cancer. Methods: This study was developed in several steps. They were: Identifying risk factors that could be possible predictors of nonmelanoma skin cancer; their clinical validation; developing a prediction rule using logistic regression; and collecting information from 962 patients in a case and control design (481 cases and 481 controls. We developed independent prediction rules for basal cell and squamous cell carcinomas. Finally, we evaluated reliability for each of the variables. Results: The variables that made up the final prediction rule were: Family history of skin cancer, history of outdoor work, age, phototypes 1-3 and the presence of poikiloderma of civatte, actinic keratosis and conjunctivitis in band. Prediction rules specificity was 87% for basal cell carcinomas and 92% for squamous cell carcinomas. Inter- and intra-observer reliability was good except for the conjunctivitis in band variable. Conclusions: The prediction rules let us calculate the individual risk of developing basal cell carcinoma and squamous cell carcinoma. This is an economic easy-to-apply tool that could be useful in primary and secondary prevention of skin cancer.

  19. HEALTHY EATING INDEX AND OVARIAN CANCER RISK

    OpenAIRE

    Chandran, Urmila; Elisa V Bandera; Williams-King, Melony G.; Paddock, Lisa E.; Rodriguez-Rodriguez, Lorna; Lu, Shou-En; Faulkner, Shameka; Pulick, Katherine; Olson, Sara H.

    2011-01-01

    The evidence for a role of diet on ovarian cancer prevention remains inconclusive. While many studies have evaluated individual foods and food groups, the evaluation of a comprehensive dietary quality index for predicting cancer risk has received little attention. This study investigates the association between the Healthy Eating Index (HEI), which reflects adherence to the current USDA Dietary Guidelines for Americans, and ovarian cancer risk in a population-based case-control study in New J...

  20. Predicting death from surgery for lung cancer

    DEFF Research Database (Denmark)

    O'Dowd, Emma L; Lüchtenborg, Margreet; Baldwin, David R;

    2016-01-01

    OBJECTIVES: Current British guidelines advocate the use of risk prediction scores such as Thoracoscore to estimate mortality prior to radical surgery for non-small cell lung cancer (NSCLC). A recent publication used the National Lung Cancer Audit (NLCA) to produce a score to predict 90day mortality...... (NLCA score). The aim of this study is to validate the NLCA score, and compare its performance with Thoracoscore. MATERIALS AND METHODS: We performed an internal validation using 2858 surgical patients from NLCA and an external validation using 3191 surgical patients from the Danish Lung Cancer Registry...

  1. IGF-1, IGFBP-1, and IGFBP-3 polymorphisms predict circulating IGF levels but not breast cancer risk: findings from the Breast and Prostate Cancer Cohort Consortium (BPC3.

    Directory of Open Access Journals (Sweden)

    Alpa V Patel

    Full Text Available IGF-1 has been shown to promote proliferation of normal epithelial breast cells, and the IGF pathway has also been linked to mammary carcinogenesis in animal models. We comprehensively examined the association between common genetic variation in the IGF1, IGFBP1, and IGFBP3 genes in relation to circulating IGF-I and IGFBP-3 levels and breast cancer risk within the NCI Breast and Prostate Cancer Cohort Consortium (BPC3. This analysis included 6,912 breast cancer cases and 8,891 matched controls (n = 6,410 for circulating IGF-I and 6,275 for circulating IGFBP-3 analyses comprised primarily of Caucasian women drawn from six large cohorts. Linkage disequilibrium and haplotype patterns were characterized in the regions surrounding IGF1 and the genes coding for two of its binding proteins, IGFBP1 and IGFBP3. In total, thirty haplotype-tagging single nucleotide polymorphisms (htSNP were selected to provide high coverage of common haplotypes; the haplotype structure was defined across four haplotype blocks for IGF1 and three for IGFBP1 and IGFBP3. Specific IGF1 SNPs individually accounted for up to 5% change in circulating IGF-I levels and individual IGFBP3 SNPs were associated up to 12% change in circulating IGFBP-3 levels, but no associations were observed between these polymorphisms and breast cancer risk. Logistic regression analyses found no associations between breast cancer and any htSNPs or haplotypes in IGF1, IGFBP1, or IGFBP3. No effect modification was observed in analyses stratified by menopausal status, family history of breast cancer, body mass index, or postmenopausal hormone therapy, or for analyses stratified by stage at diagnosis or hormone receptor status. In summary, the impact of genetic variation in IGF1 and IGFBP3 on circulating IGF levels does not appear to substantially influence breast cancer risk substantially among primarily Caucasian postmenopausal women.

  2. Aberrant gene methylation in the peritoneal fluid is a risk factor predicting peritoneal recurrence in gastric cancer

    Institute of Scientific and Technical Information of China (English)

    Masatsugu; Hiraki; Yoshihiko; Kitajima; Seiji; Sato; Jun; Nakamura; Kazuyoshi; Hashiguchi; Hirokazu; Noshiro; Kohji; Miyazaki

    2010-01-01

    AIM:To investigate whether gene methylation in the peritoneal fluid (PF) predicts peritoneal recurrence in gastric cancer patients.METHODS: The gene methylation of CHFR (checkpoint with forkhead and ring finger domains), p16, RUNX3 (runt-related transcription factor 3), E-cadherin, hMLH1 (mutL homolog 1), ABCG2 (ATP-binding cassette, sub-family G, member 2) and BNIP3 (BCL2/adenovirus E1B 19 kDa interacting protein 3) were analyzed in 80 specimens of PF by quantitative methylation-specific polymerase chain r...

  3. Functional Haplotypes in the Promoter of Matrix Metalloproteinase-2 Predict Risk of the Occurrence and Metastasis of Esophageal Cancer

    Institute of Scientific and Technical Information of China (English)

    ChunyuanYu; YifengZhou; XiaopingMiao; PingXiong; WenTan; DongxinLin

    2005-01-01

    Matrix metalloproteinase-2 (MMP-2) plays important roles in cancer development and aggression. Our previous studies revealed a strong association between the MMP-2 -1306C/T polymorphism and risk of several cancers. A novel -735C/T polymorphism in MMP-2 promoter has been identified but the function is undefined. This study examined our hypothesis that these two polymorphisms might have functional relevance and impact on risk of esophageal squamous cell carcinoma in the context of haplotype. Genotypes and haplotypes were analyzed in 527 cases and 777 controls and odds ratios (ORs) and 95% confidence intervals (CIs)were estimated by logistic regression. The function of the polymorphisms was examined by electrophoretic mobility shift assays, luciferase gene expression assays, and reverse transcriptase-PCR analyses. It was found that the -735C→T transition disrupts an Spl site and displays a lowerpromoter activity. The C_1306-C-735 haplotype had 7-fold increased luciferase expression and 3.7-fold increased MMPo2 mRNA levels in esopha-gcal tissues compared with the T-1306-T-735 haplotype. A case-control analysis revealed a 1.52-fold (95% CI=1.17-1.96) or 1.30-fold (95%CI = 1.04-1.63) excess risk of developing esophageal squamous cell carcinoma for the -1306CC or -735CC genotype carriers compared with noncarriers, respectively. A greater association was observed between elevated risk of developing esophageal squamous cell carcinoma andC-1306 or C-735 allele containing haplotypes, with the risk being highest for the C-1306-C-735 haplotype compared with the T-1306-T-735 haplotype(OR = 6.53; 95% CI = 2.78-15.33). The C-1306-C-735 haplotype was also associated with increased risk for distant metastasis of esophageal squamous cell carcinoma (OR = 3.34; 95% CI = 1.16-9.63). These findings suggest that the C-1306-C-735 haplotype in the MMpo2 promoter contributes to risk of the occurrence and metastasis of esophageal squamous cell carcinoma by increasing expression of MMP-2.

  4. A nomogram based on age,prostate-specific antigen level,prostate volume and digital rectal examination for predicting risk of prostate cancer

    Institute of Scientific and Technical Information of China (English)

    Ping Tang; Hui Chen; Matthew Uhlman; Yu-Rong Lin; Xiang-Rong Deng; Bin Wang; Wen-Jun Yang; Ke-Ji Xie

    2013-01-01

    Nomograms for predicting the risk of prostate cancer developed using other populations may introduce sizable bias when applied to a Chinese cohort.In the present study,we sought to develop a nomogram for predicting the probability of a positive initial prostate biopsy in a Chinese population.A total of 535 Chinese men who underwent a prostatic biopsy for the detection of prostate cancer in the past decade with complete biopsy data were included.Stepwise logistic regression was used to determine the independent predictors of a positive initial biopsy.Age,prostate-specific antigen (PSA),prostate volume (PV),digital rectal examination (DRE) status,% free PSA and transrectal ultrasound (TRUS) findings were included in the analysis.A nomogram model was developed that was based on these independent predictors to calculate the probability of a positive initial prostate biopsy.A receiver-operating characteristic curve was used to assess the accuracy of using the nomogram and PSA levels alone for predicting positive prostate biopsy.The rate for positive initial prostate biopsy was 41.7% (223/535).The independent variables used to predict a positive initial prostate biopsy were age,PSA,PV and DRE status.The areas under the receiver-operating characteristic curve for a positive initial prostate biopsy for PSA alone and the nomogram were 79.7% and 84.8%,respectively.Our results indicate that the risk of a positive initial prostate biopsy can be predicted to a satisfactory level in a Chinese population using our nomogram.The nomogram can be used to identify and Counsel patients who should consider a prostate biopsy,ultimately enhancing accuracy in diagnosing prostate cancer.

  5. Post-traumatic stress symptoms and post-traumatic growth in 223 childhood cancer survivors: predictive risk factors

    Directory of Open Access Journals (Sweden)

    Marta eTremolada

    2016-02-01

    Full Text Available With modern therapies and supportive care, survival rates of childhood cancer have increased considerably. However, there are long-term psychological sequelae of these treatments that may not manifest until pediatric survivors are into adulthood. The prevalence of post-traumatic stress disorder (PTSD in young adult survivors of childhood cancer ranges from 6.2% to 22%; associated risk factors are young age at the assessment, female gender, low education level and some disease-related factors. The aim of this study was to investigate, in adolescent and young adult (AYA survivors of childhood cancer, the incidence and severity of post-traumatic stress symptoms (PTSS, and to identify the risk factors and the associated post-traumatic growth (PTG index.Participants were 223 AYA cancer survivors recruited during follow-up visits in the Oncohematology Clinic of the Department of Child and Woman’s Health, University of Padua. Data were collected from self-report questionnaires on PTSS incidence, PTG mean score, perceived social support, and medical and socio-demographic factors. Ex-patients’ mean age at the assessment was 19.33 years (SD = 3.01, 15-25, 123 males and 100 females, with a mean of years off-therapy of 9.64 (SD=4.17. Most (52.5% had survived an hematological disorder and 47.5% a solid tumor when they were aged, on average, 8.02 years (SD=4.40.The main results indicated a moderate presence of clinical (≥9 symptoms: 9.4% and sub-clinical PTSS (6-8 symptoms: 11.2%, with the avoidance criterion most often encountered. Re-experience symptoms and PTG mean score were significantly associated (r=0.24 p=0.0001. A hierarchical regression model (R2 = 0.08; F = 1.46; p = 0.05 identified female gender (β = 0.16; p = 0.05 and less perceived social support (β = -0.43; p = 0.05 as risk factors to developing PTSS. Another hierarchical regression model assessed the possible predictors of the PTG total score (R2 = 0.36; F = 9.1; p = 0.0001, with

  6. Salivary Gland Cancer: Risk Factors

    Science.gov (United States)

    ... Factors Request Permissions Print to PDF Salivary Gland Cancer: Risk Factors Approved by the Cancer.Net Editorial Board , 08/ ... anything that increases a person’s chance of developing cancer. Although risk factors often influence the development of cancer, most do ...

  7. Toxicogenomic outcomes predictive of forestomach carcinogenesis following exposure to benzo(a)pyrene: Relevance to human cancer risk

    Energy Technology Data Exchange (ETDEWEB)

    Labib, Sarah, E-mail: Sarah.Labib@hc-sc.gc.ca; Guo, Charles H., E-mail: Charles.Guo@hc-sc.gc.ca; Williams, Andrew, E-mail: Andrew.Williams@hc-sc.gc.ca; Yauk, Carole L., E-mail: Carole.Yauk@hc-sc.gc.ca; White, Paul A., E-mail: Paul.White@hc-sc.gc.ca; Halappanavar, Sabina, E-mail: Sabina.Halappanavar@hc-sc.gc.ca

    2013-12-01

    Forestomach tumors are observed in mice exposed to environmental carcinogens. However, the relevance of this data to humans is controversial because humans lack a forestomach. We hypothesize that an understanding of early molecular changes after exposure to a carcinogen in the forestomach will provide mode-of-action information to evaluate the applicability of forestomach cancers to human cancer risk assessment. In the present study we exposed mice to benzo(a)pyrene (BaP), an environmental carcinogen commonly associated with tumors of the rodent forestomach. Toxicogenomic tools were used to profile gene expression response in the forestomach. Adult Muta™Mouse males were orally exposed to 25, 50, and 75 mg BaP/kg-body-weight/day for 28 consecutive days. The forestomach was collected three days post-exposure. DNA microarrays, real-time RT-qPCR arrays, and protein analyses were employed to characterize responses in the forestomach. Microarray results showed altered expression of 414 genes across all treatment groups (± 1.5 fold; false discovery rate adjusted P ≤ 0.05). Significant downregulation of genes associated with phase II xenobiotic metabolism and increased expression of genes implicated in antigen processing and presentation, immune response, chemotaxis, and keratinocyte differentiation were observed in treated groups in a dose-dependent manner. A systematic comparison of the differentially expressed genes in the forestomach from the present study to differentially expressed genes identified in human diseases including human gastrointestinal tract cancers using the NextBio Human Disease Atlas showed significant commonalities between the two models. Our results provide molecular evidence supporting the use of the mouse forestomach model to evaluate chemically-induced gastrointestinal carcinogenesis in humans. - Highlights: • Benzo(a)pyrene-mediated transcriptomic response in the forestomach was examined. • The immunoproteosome subunits and MHC class I

  8. Space Radiation Cancer Risks

    Science.gov (United States)

    Cucinotta, Francis A.

    2007-01-01

    Space radiation presents major challenges to astronauts on the International Space Station and for future missions to the Earth s moon or Mars. Methods used to project risks on Earth need to be modified because of the large uncertainties in projecting cancer risks from space radiation, and thus impact safety factors. We describe NASA s unique approach to radiation safety that applies uncertainty based criteria within the occupational health program for astronauts: The two terrestrial criteria of a point estimate of maximum acceptable level of risk and application of the principle of As Low As Reasonably Achievable (ALARA) are supplemented by a third requirement that protects against risk projection uncertainties using the upper 95% confidence level (CL) in the radiation cancer projection model. NASA s acceptable level of risk for ISS and their new lunar program have been set at the point-estimate of a 3-percent risk of exposure induced death (REID). Tissue-averaged organ dose-equivalents are combined with age at exposure and gender-dependent risk coefficients to project the cumulative occupational radiation risks incurred by astronauts. The 95% CL criteria in practice is a stronger criterion than ALARA, but not an absolute cut-off as is applied to a point projection of a 3% REID. We describe the most recent astronaut dose limits, and present a historical review of astronaut organ doses estimates from the Mercury through the current ISS program, and future projections for lunar and Mars missions. NASA s 95% CL criteria is linked to a vibrant ground based radiobiology program investigating the radiobiology of high-energy protons and heavy ions. The near-term goal of research is new knowledge leading to the reduction of uncertainties in projection models. Risk projections involve a product of many biological and physical factors, each of which has a differential range of uncertainty due to lack of data and knowledge. The current model for projecting space radiation

  9. PCOS and cancer risk.

    OpenAIRE

    Tadeusz Issat; Artur J Jakimiuk

    2010-01-01

    Polycystic ovary syndrome (PCOS) affects approximately 5 to 10% of women of reproductive age. It is the most common reason of anovulation in infertile women. PCOS is accompanied by such conditions as oligo- or anovulation, hipertestosteronism, lower cell sensitivity to insulin, type II diabetes, hyperlipidemia and obesity. Each of the above-mentioned conditions is an approved risk factor proved to predispose towards cancer. However, PCOS is also a disease entity which differs in its clinical ...

  10. Prediction of offshore risks

    Energy Technology Data Exchange (ETDEWEB)

    Castro, J.A.A.

    1979-09-01

    Topographic and geophysical surveys of offshore drilling sites taken prior to platform installation or the commencement of drilling operations can warn operators of the presence of hazardous subsea structures or soil conditions. As illustrated by operations in Campeche Bay, the use of sonar, sidescanners, and shallow and deep profiling systems can produce reliable marine surveys that greatly reduce the risks related to offshore operations.

  11. Characterizing Tumor Heterogeneity With Functional Imaging and Quantifying High-Risk Tumor Volume for Early Prediction of Treatment Outcome: Cervical Cancer as a Model

    International Nuclear Information System (INIS)

    Purpose: Treatment response in cancer has been monitored by measuring anatomic tumor volume (ATV) at various times without considering the inherent functional tumor heterogeneity known to critically influence ultimate treatment outcome: primary tumor control and survival. This study applied dynamic contrast-enhanced (DCE) functional MRI to characterize tumors' heterogeneous subregions with low DCE values, at risk for treatment failure, and to quantify the functional risk volume (FRV) for personalized early prediction of treatment outcome. Methods and Materials: DCE-MRI was performed in 102 stage IB2–IVA cervical cancer patients to assess tumor perfusion heterogeneity before and during radiation/chemotherapy. FRV represents the total volume of tumor voxels with critically low DCE signal intensity (20, >13, and >5 cm3, respectively, significantly predicted unfavorable 6-year primary tumor control (p = 0.003, 7.3 × 10−8, 2.0 × 10−8) and disease-specific survival (p = 1.9 × 10−4, 2.1 × 10−6, 2.5 × 10−7, respectively). The FRVs were superior to the ATVs as early predictors of outcome, and the differentiating power of FRVs increased during treatment. Discussion: Our preliminary results suggest that functional tumor heterogeneity can be characterized by DCE-MRI to quantify FRV for predicting ultimate long-term treatment outcome. FRV is a novel functional imaging heterogeneity parameter, superior to ATV, and can be clinically translated for personalized early outcome prediction before or as early as 2–5 weeks into treatment.

  12. International multicenter tool to predict the risk of four or more tumor-positive axillary lymph nodes in breast cancer patients with sentinel node macrometastases.

    Science.gov (United States)

    Meretoja, Tuomo J; Audisio, R A; Heikkilä, P S; Bori, R; Sejben, I; Regitnig, P; Luschin-Ebengreuth, G; Zgajnar, J; Perhavec, A; Gazic, B; Lázár, G; Takács, T; Kővári, B; Saidan, Z A; Nadeem, R M; Castellano, I; Sapino, A; Bianchi, S; Vezzosi, V; Barranger, E; Lousquy, R; Arisio, R; Foschini, M P; Imoto, S; Kamma, H; Tvedskov, T F; Jensen, M-B; Cserni, G; Leidenius, M H K

    2013-04-01

    Recently, many centers have omitted routine axillary lymph node dissection (ALND) after metastatic sentinel node biopsy in breast cancer due to a growing body of literature. However, existing guidelines of adjuvant treatment planning are strongly based on axillary nodal stage. In this study, we aim to develop a novel international multicenter predictive tool to estimate a patient-specific risk of having four or more tumor-positive axillary lymph nodes (ALN) in patients with macrometastatic sentinel node(s) (SN). A series of 675 patients with macrometastatic SN and completion ALND from five European centers were analyzed by logistic regression analysis. A multivariate predictive model was created and validated internally by 367 additional patients and then externally by 760 additional patients from eight different centers. All statistical tests were two-sided. Prevalence of four or more tumor-positive ALN in each center's series (P = 0.010), number of metastatic SNs (P < 0.0001), number of negative SNs (P = 0.003), histological size of the primary tumor (P = 0.020), and extra-capsular extension of SN metastasis (P < 0.0001) were included in the predictive model. The model's area under the receiver operating characteristics curve was 0.766 in the internal validation and 0.774 in external validation. Our novel international multicenter-based predictive tool reliably estimates the risk of four or more axillary metastases after identifying macrometastatic SN(s) in breast cancer. Our tool performs well in internal and external validation, but needs to be further validated in each center before application to clinical use. PMID:23558360

  13. Comparing GIS-based measures in access to mammography and their validity in predicting neighborhood risk of late-stage breast cancer.

    Directory of Open Access Journals (Sweden)

    Min Lian

    Full Text Available BACKGROUND: Assessing neighborhood environment in access to mammography remains a challenge when investigating its contextual effect on breast cancer-related outcomes. Studies using different Geographic Information Systems (GIS-based measures reported inconsistent findings. METHODS: We compared GIS-based measures (travel time, service density, and a two-Step Floating Catchment Area method [2SFCA] of access to FDA-accredited mammography facilities in terms of their Spearman correlation, agreement (Kappa and spatial patterns. As an indicator of predictive validity, we examined their association with the odds of late-stage breast cancer using cancer registry data. RESULTS: The accessibility measures indicated considerable variation in correlation, Kappa and spatial pattern. Measures using shortest travel time (or average and service density showed low correlations, no agreement, and different spatial patterns. Both types of measures showed low correlations and little agreement with the 2SFCA measures. Of all measures, only the two measures using 6-timezone-weighted 2SFCA method were associated with increased odds of late-stage breast cancer (quick-distance-decay: odds ratio [OR] = 1.15, 95% confidence interval [CI] = 1.01-1.32; slow-distance-decay: OR = 1.19, 95% CI = 1.03-1.37 after controlling for demographics and neighborhood socioeconomic deprivation. CONCLUSIONS: Various GIS-based measures of access to mammography facilities exist and are not identical in principle and their association with late-stage breast cancer risk. Only the two measures using the 2SFCA method with 6-timezone weighting were associated with increased odds of late-stage breast cancer. These measures incorporate both travel barriers and service competition. Studies may observe different results depending on the measure of accessibility used.

  14. Colorectal Cancer Risk Assessment Tool

    Science.gov (United States)

    ... know before using this tool: The Colorectal Cancer Risk Assessment Tool was designed for use by doctors and other health providers with their patients. If you are not a health ... your personal risk of colorectal cancer. (Colorectal cancer is another way ...

  15. Bricklayers and lung cancer risk

    NARCIS (Netherlands)

    Cremers, Jan

    2014-01-01

    The article ‘Lung cancer risk among bricklayers in a pooled analysis of case–control studies’ in the International Journal of Cancer publishes findings of an epidemiological study (in the frame of a SYNERGY-project) dedicated to the lung cancer risk among bricklayers. The authors conclude that a foc

  16. Breast Cancer Risk in American Women

    Science.gov (United States)

    ... of Breast & Gynecologic Cancers Breast Cancer Screening Research Breast Cancer Risk in American Women On This Page What ... risk of developing the disease. Personal history of breast cancer : Women who have had breast cancer are more ...

  17. Risk-optimized proton therapy to minimize radiogenic second cancers

    DEFF Research Database (Denmark)

    Rechner, Laura A; Eley, John G; Howell, Rebecca M;

    2015-01-01

    Proton therapy confers substantially lower predicted risk of second cancer compared with photon therapy. However, no previous studies have used an algorithmic approach to optimize beam angle or fluence-modulation for proton therapy to minimize those risks. The objectives of this study were...... to demonstrate the feasibility of risk-optimized proton therapy and to determine the combination of beam angles and fluence weights that minimizes the risk of second cancer in the bladder and rectum for a prostate cancer patient. We used 6 risk models to predict excess relative risk of second cancer. Treatment...

  18. Hair Dyes and Cancer Risk

    Science.gov (United States)

    ... Overview Cancer Prevention Overview–for health professionals Research Hair Dyes and Cancer Risk On This Page Why is ... over age 40 use some type of hair dye ( 1 ). Modern hair dyes are classified as permanent (or oxidative), semipermanent, ...

  19. Does risk for ovarian malignancy algorithm excel human epididymis protein 4 and ca125 in predicting epithelial ovarian cancer: A meta-analysis

    International Nuclear Information System (INIS)

    Risk for Ovarian Malignancy Algorithm (ROMA) and Human epididymis protein 4 (HE4) appear to be promising predictors for epithelial ovarian cancer (EOC), however, conflicting results exist in the diagnostic performance comparison among ROMA, HE4 and CA125. Remote databases (MEDLINE/PUBMED, EMBASE, Web of Science, Google Scholar, the Cochrane Library and ClinicalTrials.gov) and full texts bibliography were searched for relevant abstracts. All studies included were closely assessed with the QUADAS-2 (Quality Assessment of Diagnostic Accuracy Studies-2). EOC predictive value of ROMA was systematically evaluated, and comparison among the predictive performances of ROMA, HE4 and CA125 were conducted within the same population. Sensitivity, specificity, DOR (diagnostic odds ratio), LR ± (positive and negative likelihood ratio) and AUC (area under receiver operating characteristic-curve) were summarized with a bivariate model. Subgroup analysis and sensitivity analysis were used to explore the heterogeneity. Data of 7792 tests were retrieved from 11 studies. The overall estimates of ROMA for EOC predicting were: sensitivity (0.89, 95% CI 0.84-0.93), specificity (0.83, 95% CI 0.77-0.88), and AUC (0.93, 95% CI 0.90-0.95). Comparison of EOC predictive value between HE4 and CA125 found, specificity: HE4 (0.93, 95% CI 0.87-0.96) > CA125 (0.84, 95% CI 0.76-0.90); AUC: CA125 (0.88, 95% CI 0.85-0.91) > HE4 (0.82, 95% CI 0.78-0.85). Comparison of OC predictive value between HE4 and CA125 found, AUC: CA125 (0.89, 95% CI 0.85-0.91) > HE4 (0.79, 95% CI 0.76-0.83). Comparison among the three tests for EOC prediction found, sensitivity: ROMA (0.86, 95%CI 0.81-0.91) > HE4 (0.80, 95% CI 0.73-0.85); specificity: HE4 (0.94, 95% CI 0.90-0.96) > ROMA (0.84, 95% CI 0.79-0.88) > CA125 (0.78, 95%CI 0.73-0.83). ROMA is helpful for distinguishing epithelial ovarian cancer from benign pelvic mass. HE4 is not better than CA125 either for EOC or OC prediction. ROMA is promising predictors of

  20. Models for risk assessment and prediction in breast cancer%乳腺癌风险评估与预测的模型及应用

    Institute of Scientific and Technical Information of China (English)

    胡政; 李想; 冯茂辉; 储君君; 谢伟

    2009-01-01

    乳腺癌风险评估与预测可以帮助临床医生评估采取预防性化疗或手术的必要性,并指导受试者的口常生活,达到减小患乳腺癌风险的目的.Gail、Claus、BRCAPRO和Cuzick-Tyrer模型是常见的4种风险评估模型.文章对上述4种模型的建立、使用、优缺点及应用范围进行论述,并使用各模型对一名有乳腺癌家族史的受试者进行风险评估;各模型预测结果差异有统计学意义;到45岁,以上4种模型预测值及人群平均累积发病概率分别为1.9%、11.8%、2.5%、5.0%和1.6%;而到75岁,分别为20.2%、32.5%、13.1%、25.0%和8.5%,受试者有较高的乳腺癌发病风险.新模犁的建立需要综合考虑各方面重要的风险因子,并进行大规模人群的验证研究.%In the areas of prevention and life skills counseling for breast cancer, risk assessment and prediction can assist clinicians to decide if chemoprevention or prophylactic surgery is needed or suggestions on improving the quality of life for their clients. Several mathematical models, namely Gail Model, Claus Model, BRCAPRO Model and Cuzick-Tyrer Model etc. have been developed to make predictions, clinically. This paper has reviewed the development, operation, advantage versus disadvantage and areas of application for the four models. Having family history of breast cancer, one subject was calculated on the risks by the four models and different results were found. Up to 45 years old, the accumulative risks from the four models and population risk were 1.9%, 11.8%, 2.5%, 5.0% and i.6%, respectively. To 75 years old, they were 20.2%,32.5%, 13.1%, 25.0% and 8.5%, respectively. The subject had a relatively high breast cancer risk during her lifetime. A new model is supposed to include a variety of important risk factors and to be validated by large scale of case-control samples. Incidence of breast cancer in China had significantly increased during the last ten years, but the research on developing

  1. Relationship between the prognostic and predictive value of the intrinsic subtypes and a validated gene profile predictive of loco-regional control and benefit from post-mastectomy radiotherapy in patients with high-risk breast cancer

    DEFF Research Database (Denmark)

    Tramm, Trine; Kyndi, Marianne; Myhre, Simen;

    2014-01-01

    BACKGROUND: Breast cancer is characterized by great molecular heterogeneity demonstrated, e.g. by the intrinsic subtypes. Administration of post-mastectomy radiotherapy (PMRT) does, however, not reflect this heterogeneity. A gene profile (DBCG-RT profile) has recently been developed and validated...... of triple negative patients with high risk of LRR and significant benefit from PMRT. Agreement in the different assignments of tumors to the subtypes was suboptimal, and the clinical outcome and predicted benefit from PMRT varied according to the method used for assignment. CONCLUSION: The prognostic...

  2. Neuroanatomy predicts individual risk attitudes.

    Science.gov (United States)

    Gilaie-Dotan, Sharon; Tymula, Agnieszka; Cooper, Nicole; Kable, Joseph W; Glimcher, Paul W; Levy, Ifat

    2014-09-10

    Over the course of the last decade a multitude of studies have investigated the relationship between neural activations and individual human decision-making. Here we asked whether the anatomical features of individual human brains could be used to predict the fundamental preferences of human choosers. To that end, we quantified the risk attitudes of human decision-makers using standard economic tools and quantified the gray matter cortical volume in all brain areas using standard neurobiological tools. Our whole-brain analysis revealed that the gray matter volume of a region in the right posterior parietal cortex was significantly predictive of individual risk attitudes. Participants with higher gray matter volume in this region exhibited less risk aversion. To test the robustness of this finding we examined a second group of participants and used econometric tools to test the ex ante hypothesis that gray matter volume in this area predicts individual risk attitudes. Our finding was confirmed in this second group. Our results, while being silent about causal relationships, identify what might be considered the first stable biomarker for financial risk-attitude. If these results, gathered in a population of midlife northeast American adults, hold in the general population, they will provide constraints on the possible neural mechanisms underlying risk attitudes. The results will also provide a simple measurement of risk attitudes that could be easily extracted from abundance of existing medical brain scans, and could potentially provide a characteristic distribution of these attitudes for policy makers. PMID:25209279

  3. Inflammatory Genetic Markers of Prostate Cancer Risk

    Energy Technology Data Exchange (ETDEWEB)

    Tindall, Elizabeth A.; Hayes, Vanessa M. [Cancer Genetics Group, Children’s Cancer Institute Australia for Medical Research, Lowy Cancer Research Centre, University of New South Wales, PO Box 81, Randwick, NSW 2031 (Australia); University of New South Wales, Kensington Campus, Sydney, NSW 2052 (Australia); Petersen, Desiree C., E-mail: dpetersen@ccia.unsw.edu.au [Cancer Genetics Group, Children’s Cancer Institute Australia for Medical Research, Lowy Cancer Research Centre, University of New South Wales, PO Box 81, Randwick, NSW 2031 (Australia)

    2010-06-08

    Prostate cancer is the most common cancer in Western society males, with incidence rates predicted to rise with global aging. Etiology of prostate cancer is however poorly understood, while current diagnostic tools can be invasive (digital rectal exam or biopsy) and/or lack specificity for the disease (prostate-specific antigen (PSA) testing). Substantial histological, epidemiological and molecular genetic evidence indicates that inflammation is important in prostate cancer pathogenesis. In this review, we summarize the current status of inflammatory genetic markers influencing susceptibility to prostate cancer. The focus will be on inflammatory cytokines regulating T-helper cell and chemokine homeostasis, together with the Toll-like receptors as key players in the host innate immune system. Although association studies indicating a genetic basis for prostate cancer are presently limited mainly due to lack of replication, larger and more ethnically and clinically defined study populations may help elucidate the true contribution of inflammatory gene variants to prostate cancer risk.

  4. Inflammatory Genetic Markers of Prostate Cancer Risk

    International Nuclear Information System (INIS)

    Prostate cancer is the most common cancer in Western society males, with incidence rates predicted to rise with global aging. Etiology of prostate cancer is however poorly understood, while current diagnostic tools can be invasive (digital rectal exam or biopsy) and/or lack specificity for the disease (prostate-specific antigen (PSA) testing). Substantial histological, epidemiological and molecular genetic evidence indicates that inflammation is important in prostate cancer pathogenesis. In this review, we summarize the current status of inflammatory genetic markers influencing susceptibility to prostate cancer. The focus will be on inflammatory cytokines regulating T-helper cell and chemokine homeostasis, together with the Toll-like receptors as key players in the host innate immune system. Although association studies indicating a genetic basis for prostate cancer are presently limited mainly due to lack of replication, larger and more ethnically and clinically defined study populations may help elucidate the true contribution of inflammatory gene variants to prostate cancer risk

  5. Risk stratification strategies for cancer-associated thrombosis: an update.

    Science.gov (United States)

    Khorana, Alok A; McCrae, Keith R

    2014-05-01

    Rates of venous thromboembolism (VTE) vary substantially between cancer patients. Multiple clinical risk factors including primary site of cancer and systemic therapy, and biomarkers including leukocyte and platelet counts and tissue factor are associated with increased risk of VTE. However, risk cannot be reliably predicted based on single risk factors or biomarkers. New American Society of Clinical Guidelines recommend that patients with cancer be assessed for VTE risk at the time of chemotherapy initiation and periodically thereafter. This narrative review provides an update on risk stratification approaches including a validated Risk Score. Potential applications of risk assessment including targeted thromboprophylaxis are outlined. © 2014 Elsevier Ltd. All rights reserved. PMID:24862143

  6. Gene expression signatures that predict outcome of tamoxifen-treated estrogen receptor-positive, high-risk, primary breast cancer patients

    DEFF Research Database (Denmark)

    Lyng, Maria B; Lænkholm, Anne-Vibeke; Tan, Qihua;

    2013-01-01

    BACKGROUND: Tamoxifen significantly improves outcome for estrogen receptor-positive (ER+) breast cancer, but the 15-year recurrence rate remains 30%. The aim of this study was to identify gene profiles that accurately predicted the outcome of ER+ breast cancer patients who received adjuvant Tamox...

  7. Cancer risks in thyroid cancer patients.

    OpenAIRE

    Hall, P.; Holm, L E; Lundell, G.; Bjelkengren, G.; Larsson, L. G.; Lindberg, S.; Tennvall, J.; Wicklund, H.; Boice, J. D.

    1991-01-01

    Cancer risks were studied in 834 thyroid cancer patients given 131I (4,551 MBq, average) and in 1,121 patients treated by other means in Sweden between 1950 and 1975. Record-linkage with the Swedish Cancer Register identified 99 new cancers more than 2 years after 131I therapy [standardised incidence ratio (SIR) = 1.43; 95% confidence interval (CI) 1.17-1.75] vs 122 (SIR = 1.19; 95% CI 0.88-1.42) in patients not receiving 131I. In females treated with 131I overall SIR was 1.45 (95% CI 1.14-1....

  8. Neuroanatomy Predicts Individual Risk Attitudes

    OpenAIRE

    Gilaie-Dotan, Sharon; Tymula, Agnieszka; Cooper, Nicole; Kable, Joseph W.; Glimcher, Paul W.; Levy, Ifat

    2014-01-01

    Over the course of the last decade a multitude of studies have investigated the relationship between neural activations and individual human decision-making. Here we asked whether the anatomical features of individual human brains could be used to predict the fundamental preferences of human choosers. To that end, we quantified the risk attitudes of human decision-makers using standard economic tools and quantified the gray matter cortical volume in all brain areas using standard neurobiologi...

  9. Cancer Risk Communication in Mainstream and Ethnic Newspapers

    OpenAIRE

    Stryker, Jo Ellen; Fishman, Jessica; Emmons, Karen Maria; Viswanath, Kasisomayajula

    2008-01-01

    Introduction: We wanted to understand how cancer risks are communicated in mainstream and ethnic newspapers, to determine whether the 2 kinds of newspapers differ and to examine features of news stories and sources that might predict optimal risk communication. Methods: Optimal risk communication was defined as presenting the combination of absolute risk, relative risk, and prevention response efficacy information. We collected data by conducting a content analysis of cancer news coverage fro...

  10. Time dependence of biomarkers: Non-proportional effects of immunohistochemical panels predicting relapse risk in early breast cancer

    NARCIS (Netherlands)

    J. Stephen; G. Murray; D.A. Cameron (David); J. Thomas; I. Kunkler (Ian); W. Jack (W.); G.R. Kerr; M.D. Piper; C.L. Brookes (Cassandra); D.W. Rea; C.J.H. van de Velde (Cornelis); A. Hasenburg (Annette); C. Markopoulos; L.Y. Dirix (Luc); C.M. Seynaeve (Caroline); J.M.S. Bartlett (John)

    2014-01-01

    textabstractBackground:We investigated the impact of follow-up duration to determine whether two immunohistochemical prognostic panels, IHC4 and Mammostrat, provide information on the risk of early or late distant recurrence using the Edinburgh Breast Conservation Series and the Tamoxifen vs Exemest

  11. Diagnostic accuracy of risk of malignancy index in predicting complete tumor removal at primary debulking surgery for ovarian cancer patients

    DEFF Research Database (Denmark)

    Fagö-Olsen, Carsten L; Håkansson, Fanny; Antonsen, Sofie L;

    2013-01-01

    .64-0.80). The possibility of complete tumor removal decreased with increasing RMI and there was a tendency towards higher RMI in patients with residual tumor after PDS, but no single cut-off value of RMI produced useful clinical predictive values. In conclusion, RMI alone is not an optimal method to determine...

  12. Reproduction and Breast Cancer Risk

    OpenAIRE

    Hanf, Volker; Hanf, Dorothea

    2014-01-01

    Reproduction is doubtlessly one of the main biological meanings of life. It is therefore not surprising that various aspects of reproduction impact on breast cancer risk. Various developmental levels may become targets of breast tumorigenesis. This review follows the chronologic sequence of events in the life of a female at risk, starting with the intrauterine development. Furthermore, the influence of both contraceptive measures and fertility treatment on breast cancer development is dealt w...

  13. Epigenetic drift, epigenetic clocks and cancer risk.

    Science.gov (United States)

    Zheng, Shijie C; Widschwendter, Martin; Teschendorff, Andrew E

    2016-05-01

    It is well-established that the DNA methylation landscape of normal cells undergoes a gradual modification with age, termed as 'epigenetic drift'. Here, we review the current state of knowledge of epigenetic drift and its potential role in cancer etiology. We propose a new terminology to help distinguish the different components of epigenetic drift, with the aim of clarifying the role of the epigenetic clock, mitotic clocks and active changes, which accumulate in response to environmental disease risk factors. We further highlight the growing evidence that epigenetic changes associated with cancer risk factors may play an important causal role in cancer development, and that monitoring these molecular changes in normal cells may offer novel risk prediction and disease prevention strategies.

  14. Epigenetic drift, epigenetic clocks and cancer risk.

    Science.gov (United States)

    Zheng, Shijie C; Widschwendter, Martin; Teschendorff, Andrew E

    2016-05-01

    It is well-established that the DNA methylation landscape of normal cells undergoes a gradual modification with age, termed as 'epigenetic drift'. Here, we review the current state of knowledge of epigenetic drift and its potential role in cancer etiology. We propose a new terminology to help distinguish the different components of epigenetic drift, with the aim of clarifying the role of the epigenetic clock, mitotic clocks and active changes, which accumulate in response to environmental disease risk factors. We further highlight the growing evidence that epigenetic changes associated with cancer risk factors may play an important causal role in cancer development, and that monitoring these molecular changes in normal cells may offer novel risk prediction and disease prevention strategies. PMID:27104983

  15. Epidemiology, risk and outcomes of venous thromboembolism in cancer.

    Science.gov (United States)

    Falanga, A; Russo, L

    2012-01-01

    Cancer is associated with a fourfold increased risk of venous thromboembolism (VTE). The risk of VTE varies according to the type of malignancy (i. e. pancreatic cancer, brain cancer, lymphoma) and its disease stage and individual factors (i. e. sex, race, age, previous VTE history, immobilization, obesity). Preventing cancer-associated VTE is important because it represents a significant cause of morbidity and mortality. In order to identify cancer patient at particularly high risk, who need thromboprophylaxis, risk prediction models have become available and are under validation. These models include clinical risk factors, but also begin to incorporate biological markers. The major American and European scientific societies have issued their recommendations to guide the management of VTE in patients with cancer. In this review the principal aspects of epidemiology, risk factors and outcome of cancer-associated VTE are summarized.

  16. Colorectal cancer risk in Crohn's disease

    Institute of Scientific and Technical Information of China (English)

    Hugh James Freeman

    2008-01-01

    There is recognized increased risk for colorectal cancer in patients with inflammatory bowel disease, particularly in long-standing and extensive ulcerative colitis. There also appears to be an increased rate of intestinal cancer in Crohn's disease, including both colon and small bowel sites. In Crohn's disease, evidence suggests that detection of colorectal cancer may be delayed with a worse progno sis. Some risk factors for cancer in Crohn's disease include the extent of inflammatory change within the colon and the presence of bypassed or excluded segments, inclu ding rectal "stump" cancer. In addition, the risk for other types of intestinal neoplasms may be increased in Crohn's disease, including lymphoma and carcinoid tumors. Earlier detection of colorectal cancer based on colonoscopy scre ening and surveillance may be achieved but, to date, this has not translated into a positive survival benefit. Moreo ver, newer staining methods and evolving micro-endos copic techniques show promise, but have not significantly altered management. Future research should focus on development of molecular or other bio-markers that might predict future dysplasia or cancer development in Crohn's disease.

  17. Work stress and risk of cancer

    DEFF Research Database (Denmark)

    Heikkilä, Katriina; Nyberg, Solja T; Theorell, Töres;

    2013-01-01

    To investigate whether work related stress, measured and defined as job strain, is associated with the overall risk of cancer and the risk of colorectal, lung, breast, or prostate cancers.......To investigate whether work related stress, measured and defined as job strain, is associated with the overall risk of cancer and the risk of colorectal, lung, breast, or prostate cancers....

  18. Association analysis of a chemo-response signature identified within The Cancer Genome Atlas aimed at predicting genetic risk for chemo-response in ovarian cancer

    Science.gov (United States)

    Salinas, Erin A; Newtson, Andreea M; Leslie, Kimberly K; Gonzalez-Bosquet, Jesus

    2016-01-01

    Background: A gene signature associated with chemo-response in ovarian cancer was created through integration of biological data in The Cancer Genome Atlas (TCGA) and validated in five independent microarray experiments. Our study aimed to determine if single nucleotide polymorphisms (SNPs) within the 422-gene signature were associated with a genetic predisposition to platinum-based chemotherapy response in serous ovarian cancer. Methods: An association analysis between SNPs within the 422-gene signature and chemo-response in serous ovarian cancer was performed under the log-additive genetic model using the ‘SNPassoc’ package within the R environment (p<0.0001). Subsequent validation of statistically significant SNPs was done in the Ovarian Cancer Association Consortium (OCAC) database. Results: 19 SNPs were found to be associated with chemo-response with statistical significance. None of the SNPs found significant in TCGA were validated within OCAC for the outcome of interest, chemo-response. Conclusions: SNPs associated with chemo-response in ovarian cancer within TGCA database were not validated in a larger database of patients and controls from OCAC. New strategies integrating somatic and germline information may help to characterize genetic predictors for treatment response in ovarian cancer. PMID:27186327

  19. Height and Breast Cancer Risk

    DEFF Research Database (Denmark)

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

    2015-01-01

    BACKGROUND: Epidemiological studies have linked adult height with breast cancer risk in women. However, the magnitude of the association, particularly by subtypes of breast cancer, has not been established. Furthermore, the mechanisms of the association remain unclear. METHODS: We performed a meta......-analysis to investigate associations between height and breast cancer risk using data from 159 prospective cohorts totaling 5216302 women, including 113178 events. In a consortium with individual-level data from 46325 case patients and 42482 control patients, we conducted a Mendelian randomization analysis using...... a genetic score that comprised 168 height-associated variants as an instrument. This association was further evaluated in a second consortium using summary statistics data from 16003 case patients and 41335 control patients. RESULTS: The pooled relative risk of breast cancer was 1.17 (95% confidence...

  20. Obesity and colorectal cancer risk

    International Nuclear Information System (INIS)

    Obesity is a chronic and multifactor disease characterized by presence of excess body fat harmful for health. Several studies have been conducted to assess the possible risk character of different factors for colorectal cancer including the following modifying factors: a diet rich in saturated fats, a diet low in vegetables, physical inactivity, alcohol consumption and obesity. A case-control study was conducted to include 276 adult patients (93 cases and 184 controls) consecutively seen from May, 2008 to May, 2009 in the Institute of Gastroenterology determining a possible association between obesity as risk factor and colorectal cancer. Variables measures included: sex, age, skin color, body mass index, hip-waist circumference and endoscopic location of cancer. We conclude that the colorectal cancer with predominance in female sex and in white people in both groups. Obesity according to a great relation hip-waist had an strong relation with colorectal cancer, which had predominance towards distal colon in both sexes

  1. Interval to Biochemical Failure Predicts Clinical Outcomes in Patients With High-Risk Prostate Cancer Treated by Combined-Modality Radiation Therapy

    Energy Technology Data Exchange (ETDEWEB)

    Shilkrut, Mark; McLaughlin, P. William [Department of Radiation Oncology, University of Michigan Health System, Ann Arbor, Michigan (United States); Merrick, Gregory S. [Schiffler Cancer Center, Wheeling Jesuit University, Wheeling, West Virginia (United States); Vainshtein, Jeffrey M.; Feng, Felix Y. [Department of Radiation Oncology, University of Michigan Health System, Ann Arbor, Michigan (United States); Hamstra, Daniel A., E-mail: dhamm@med.umich.edu [Department of Radiation Oncology, University of Michigan Health System, Ann Arbor, Michigan (United States)

    2013-07-15

    Purpose: To validate the prognostic value of interval to biochemical failure (IBF) in patients with high-risk prostate cancer (HiRPCa) treated with combined-modality radiation therapy (CMRT) with or without androgen deprivation therapy (ADT). Methods and Materials: We conducted a retrospective review of HiRPCa (prostate-specific antigen >20 ng/mL, Gleason score [GS] 8-10, or clinical T stage T3-T4) treated with either dose-escalated external beam radiation therapy (EBRT) or CMRT. Interval to biochemical failure was classified as ≤18 or >18 months from the end of all therapy to the date of biochemical failure (BF). Kaplan-Meier methods and Cox proportional hazards regression were used to evaluate the prognostic value of IBF ≤18 months for distant metastasis (DM) and prostate cancer-specific mortality (PCSM). Results: Of 958 patients with a median follow-up of 63.2 months, 175 patients experienced BF. In those with BF, there were no differences in pretreatment clinical characteristics between the EBRT and CMRT groups, except for a higher proportion of patients with GS 8-10 in the CMRT group (70% vs 52%, P=.02). Median IBF after all therapy was 24.0 months (interquartile range 9.6-46.0) in the EBRT group and 18.9 months (interquartile range 9.2-34.5) in the CMRT group (P=.055). On univariate analysis, IBF ≤18 months was associated with increased risk of DM and PCSM in the entire cohort and the individual EBRT and CMRT groups. On multivariate analysis, only GS 9-10 and IBF ≤18 months, but not the radiation therapy regimen or ADT use, predicted DM (hazard ratio [HR] 3.7, P<.01, 95% confidence interval [CI] 1.4-10.3 for GS 9-10; HR 3.9, P<.0001, 95% CI 2.4-6.5 for IBF ≤18 months) and PCSM (HR 14.8, P<.009, 95% CI 2.0-110 for GS 9-10; HR 4.4, P<.0001, 95% CI 2.4-8.1 for IBF ≤18 months). Conclusions: Short IBF was highly prognostic for higher DM and PCSM in patients with HiRPCa. The prognostic value of IBF for DM and PCSM was not affected by the radiation

  2. Obesity and Cancer Risk

    Science.gov (United States)

    ... may stimulate or inhibit cell growth. For example, leptin, which is more abundant in obese people, seems ... is known about the relationship between obesity and kidney cancer? Obesity has been consistently associated with renal ...

  3. Asbestos and Cancer Risk

    Science.gov (United States)

    ... done in the lab Tests on several different rodent species, using different methods of exposure, have confirmed ... Voices Blog Programs & Services Breast Cancer Support TLC Hair Loss & Mastectomy Products Hope Lodge® Lodging Rides To ...

  4. Risk model and nomogram for dysphagia and xerostomia prediction in head and neck cancer patients treated by radiotherapy and/or chemotherapy

    NARCIS (Netherlands)

    Teguh, D.N; Levendag, P.C.; Ghidey, W.; Montfort, van K.; Kwa, S.L.S.

    2013-01-01

    In our randomized trial on hyperbaric oxygen (HBO), it was shown that HBO could reduce dysphagia and xerostomia, which are frequently encountered after (chemo-) radiotherapy (RT) and/or surgery for head and neck cancer (HNC). A risk model and nomogram are developed to select those patients who most

  5. Cancer risk in systemic lupus

    DEFF Research Database (Denmark)

    Bernatsky, Sasha; Ramsey-Goldman, Rosalind; Labrecque, Jeremy;

    2013-01-01

    .46, 5.49) and leukemia. In addition, increased risks of cancer of the vulva (SIR 3.78, 95% CI 1.52, 7.78), lung (SIR 1.30, 95% CI 1.04, 1.60), thyroid (SIR 1.76, 95% CI 1.13, 2.61) and possibly liver (SIR 1.87, 95% CI 0.97, 3.27) were suggested. However, a decreased risk was estimated for breast (SIR 0......: These data estimate only a small increased risk in SLE (versus the general population) for cancer over-all. However, there is clearly an increased risk of NHL, and cancers of the vulva, lung, thyroid, and possibly liver. It remains unclear to what extent the association with NHL is mediated by innate versus......OBJECTIVE: To update estimates of cancer risk in SLE relative to the general population. METHODS: A multisite international SLE cohort was linked with regional tumor registries. Standardized incidence ratios (SIRs) were calculated as the ratio of observed to expected cancers. RESULTS: Across 30...

  6. HPV and high-risk gene expression profiles predict response to chemoradiotherapy in head and neck cancer, independent of clinical factors

    NARCIS (Netherlands)

    M.C. de Jong; J. Pramana; J.L. Knegjens; A.J.M. Balm; M.W.M. van den Brekel; M. Hauptmann; A.C. Begg; C.R.N. Rasch

    2010-01-01

    Purpose: The purpose of this study was to combine gene expression profiles and clinical factors to provide a better prediction model of local control after chemoradiotherapy for advanced head and neck cancer. Material and methods: Gene expression data were available for a series of 92 advanced stage

  7. HPV and high-risk gene expression profiles predict response to chemoradiotherapy in head and neck cancer, independent of clinical factors.

    NARCIS (Netherlands)

    Jong, M.C.J. de; Pramana, J.; Knegjens, J.L.; Balm, A.J.; Brekel, M.W. van den; Hauptmann, M.; Begg, A.C.; Rasch, C.R.

    2010-01-01

    PURPOSE: The purpose of this study was to combine gene expression profiles and clinical factors to provide a better prediction model of local control after chemoradiotherapy for advanced head and neck cancer. MATERIAL AND METHODS: Gene expression data were available for a series of 92 advanced stage

  8. Use of threshold-specific energy model for the prediction of effects of smoking and radon exposure on the risk of lung cancer.

    Science.gov (United States)

    Böhm, R; Sedlák, A; Bulko, M; Holý, K

    2014-07-01

    Lung cancer is the leading cause of cancer death in both men and women. Smoking causes 80-90% of cases of lung cancer. In this study, an attempt was made to assess the impact of cigarette smoking on the risk of lung cancer by the so-called threshold-specific energy model. This model allows to analyse the biological effects of radon daughter products on the lung tissue, and is based on the assumption that the biological effect (i.e. cell inactivation) will manifest itself after the threshold-specific energy z0 deposited in the sensitive volume of the cell is exceeded. Cigarette smoking causes, among others, an increase in the synthesis of the survivin protein that protects cells from apoptosis and thereby reduces their radiosensitivity. Based on these facts, an attempt was made to estimate the shape of the curves describing the increase in the oncological effect of radiation as a function of daily cigarette consumption. PMID:24711526

  9. Risk Determination for Pancreatic Cancer

    Directory of Open Access Journals (Sweden)

    Maria I Toki

    2014-07-01

    Full Text Available Pancreatic cancer represents one of the leading causes of cancer related deaths worldwide and constitutes a major public health problem. Despite the advances in diagnosis and treatment, the overall five-year survival remains low, thus leading the focus of medical research towards the identification and modification of potential risk factors. This year, in ASCO Annual Meeting two interesting studies were presented. Ghani et al. (abstract #e15183 sought to investigate the effect of smoking on chemotherapy response in patients with metastatic pancreatic cancer, while Walker et al. (abstract #4117 presented the results of their study regarding the effect of statin use in the prevention of pancreatic cancer. Both studies concluded to useful results that along with the existing literature may further stimulate medical research towards better recognition of risk factors and the application of this knowledge in the clinical practice.

  10. BRCA1-like profile predicts benefit of tandem high dose epirubicin-cyclophospamide-thiotepa in high risk breast cancer patients randomized in the WSG-AM01 trial.

    Science.gov (United States)

    Schouten, Philip C; Gluz, Oleg; Harbeck, Nadia; Mohrmann, Svjetlana; Diallo-Danebrock, Raihana; Pelz, Enrico; Kruizinga, Janneke; Velds, Arno; Nieuwland, Marja; Kerkhoven, Ron M; Liedtke, Cornelia; Frick, Markus; Kates, Ronald; Linn, Sabine C; Nitz, Ulrike; Marme, Frederik

    2016-08-15

    BRCA1 is an important protein in the repair of DNA double strand breaks (DSBs), which are induced by alkylating chemotherapy. A BRCA1-like DNA copy number signature derived from tumors with a BRCA1 mutation is indicative for impaired BRCA1 function and associated with good outcome after high dose (HD) and tandem HD DSB inducing chemotherapy. We investigated whether BRCA1-like status was a predictive biomarker in the WSG AM 01 trial. WSG AM 01 randomized high-risk breast cancer patients to induction (2× epirubicin-cyclophosphamide) followed by tandem HD chemotherapy with epirubicin, cyclophosphamide and thiotepa versus dose dense chemotherapy (4× epirubicin-cyclophospamide followed by 3× cyclophosphamide-methotrexate-5-fluorouracil). We generated copy number profiles for 143 tumors and classified them as being BRCA1-like or non-BRCA1-like. Twenty-six out of 143 patients were BRCA1-like. BRCA1-like status was associated with high grade and triple negative tumors. With regard to event-free-survival, the primary endpoint of the trial, patients with a BRCA1-like tumor had a hazard rate of 0.2, 95% confidence interval (CI): 0.07-0.63, p = 0.006. In the interaction analysis, the combination of BRCA1-like status and HD chemotherapy had a hazard rate of 0.19, 95% CI: 0.067-0.54, p = 0.003. Similar results were observed for overall survival. These findings suggest that BRCA1-like status is a predictor for benefit of tandem HD chemotherapy with epirubicin-thiotepa-cyclophosphamide. PMID:26946057

  11. Breast cancer risk assessment using genetic variants and risk factors in a Singapore Chinese population

    OpenAIRE

    Lee, Charmaine Pei Ling; Irwanto, Astrid; Salim, Agus; Yuan, Jian-Min; Liu, Jianjun; Koh, Woon Puay; Hartman, Mikael

    2014-01-01

    Introduction Genetic variants for breast cancer risk identified in genome-wide association studies (GWAS) in Western populations require further testing in Asian populations. A risk assessment model incorporating both validated genetic variants and established risk factors may improve its performance in risk prediction of Asian women. Methods A nested case-control study of female breast cancer (411 cases and 1,212 controls) within the Singapore Chinese Health Study was conducted to investigat...

  12. Tail Risk Premia and Return Predictability

    DEFF Research Database (Denmark)

    Bollerslev, Tim; Todorov, Viktor; Xu, Lai

    The variance risk premium, defined as the difference between actual and risk-neutralized expectations of the forward aggregate market variation, helps predict future market returns. Relying on new essentially model-free estimation procedure, we show that much of this predictability may......-varying economic uncertainty and changes in risk aversion, or market fears, respectively....

  13. Risk factors and novel biomarkers in breast cancer

    OpenAIRE

    Fourkala, E.-O.

    2011-01-01

    Efforts continue to identify and validate novel risk factors / biomarkers for breast cancer and improve current risk prediction models in the general population due to ongoing issues with sensitivity and specificity. The overall goal of this PhD study is to add to this effort. Specific aims are to (1) examine which is the best source of getting notified for breast cancer diagnosis in the general population since accurate data is crucial for risk assessment studies (2) investigate the assoc...

  14. Providing access to risk prediction tools via the HL7 XML-formatted risk web service.

    Science.gov (United States)

    Chipman, Jonathan; Drohan, Brian; Blackford, Amanda; Parmigiani, Giovanni; Hughes, Kevin; Bosinoff, Phil

    2013-07-01

    Cancer risk prediction tools provide valuable information to clinicians but remain computationally challenging. Many clinics find that CaGene or HughesRiskApps fit their needs for easy- and ready-to-use software to obtain cancer risks; however, these resources may not fit all clinics' needs. The HughesRiskApps Group and BayesMendel Lab therefore developed a web service, called "Risk Service", which may be integrated into any client software to quickly obtain standardized and up-to-date risk predictions for BayesMendel tools (BRCAPRO, MMRpro, PancPRO, and MelaPRO), the Tyrer-Cuzick IBIS Breast Cancer Risk Evaluation Tool, and the Colorectal Cancer Risk Assessment Tool. Software clients that can convert their local structured data into the HL7 XML-formatted family and clinical patient history (Pedigree model) may integrate with the Risk Service. The Risk Service uses Apache Tomcat and Apache Axis2 technologies to provide an all Java web service. The software client sends HL7 XML information containing anonymized family and clinical history to a Dana-Farber Cancer Institute (DFCI) server, where it is parsed, interpreted, and processed by multiple risk tools. The Risk Service then formats the results into an HL7 style message and returns the risk predictions to the originating software client. Upon consent, users may allow DFCI to maintain the data for future research. The Risk Service implementation is exemplified through HughesRiskApps. The Risk Service broadens the availability of valuable, up-to-date cancer risk tools and allows clinics and researchers to integrate risk prediction tools into their own software interface designed for their needs. Each software package can collect risk data using its own interface, and display the results using its own interface, while using a central, up-to-date risk calculator. This allows users to choose from multiple interfaces while always getting the latest risk calculations. Consenting users contribute their data for future

  15. Oral Contraceptives and Cancer Risk

    Science.gov (United States)

    ... benefits associated with oral contraception. American Journal of Obstetrics and Gynecology 2004; 190(4 Suppl):S5–22. [ ... oral contraceptive use and risk of ovarian cancer. Obstetrics and Gynecology 1992; 80(4):708–714. [PubMed ...

  16. Risks of Colorectal Cancer Screening

    Science.gov (United States)

    ... laxatives to clear the colon, shows polyps clearly. DNA stool test This test checks DNA in stool cells for genetic changes that may be a sign of colorectal cancer. Screening clinical trials are taking place in many parts of the ... Screening tests have risks. False-negative test results can occur. ...

  17. Myastenia and risk of cancer

    DEFF Research Database (Denmark)

    Greve Pedersen, Emil; Pottegård, Anton; Hallas, Jesper;

    2014-01-01

    BACKGROUND AND PURPOSE: To evaluate the association between having non-thymoma myasthenia and the risk of extra-thymic cancer in a population-based setting. METHODS: A nationwide case-control study was conducted in Denmark based on medical registries. The study included all cases with a first tim...

  18. Gene Tied to Breast Cancer Raises Uterine Cancer Risk Too

    Science.gov (United States)

    ... page: https://medlineplus.gov/news/fullstory_159652.html Gene Tied to Breast Cancer Raises Uterine Cancer Risk ... June 30, 2016 (HealthDay News) -- Women with a gene mutation known as BRCA1 have an increased risk ...

  19. Alcohol, Obesity Could Raise Esophageal Cancer Risk

    Science.gov (United States)

    ... https://medlineplus.gov/news/fullstory_160133.html Alcohol, Obesity Could Raise Esophageal Cancer Risk A third of ... at the American Institute for Cancer Research (AICR). "Obesity is now linked to 11 types of cancer ...

  20. Abortion, Miscarriage, and Breast Cancer Risk

    Science.gov (United States)

    ... of Breast & Gynecologic Cancers Breast Cancer Screening Research Abortion, Miscarriage, and Breast Cancer Risk A woman’s hormone ... be conducted to determine whether having an induced abortion, or a miscarriage (also known as spontaneous abortion), ...

  1. Colon Cancer Risk Assessment - Gauss Program

    Science.gov (United States)

    An executable file (in GAUSS) that projects absolute colon cancer risk (with confidence intervals) according to NCI’s Colorectal Cancer Risk Assessment Tool (CCRAT) algorithm. GAUSS is not needed to run the program.

  2. CRITICAL REVIEW OF PROSTATE CANCER PREDICTIVE TOOLS

    OpenAIRE

    Shahrokh F. Shariat; Michael W Kattan; Vickers, Andrew J; Karakiewicz, Pierre I; Scardino, Peter T.

    2009-01-01

    Prostate cancer is a very complex disease, and the decision-making process requires the clinician to balance clinical benefits, life expectancy, comorbidities, and potential treatment related side effects. Accurate prediction of clinical outcomes may help in the difficult process of making decisions related to prostate cancer. In this review, we discuss attributes of predictive tools and systematically review those available for prostate cancer. Types of tools include probability formulas, lo...

  3. Risk of Ovarian Cancer Relapse Score

    Science.gov (United States)

    Rizzuto, Ivana; Stavraka, Chara; Chatterjee, Jayanta; Borley, Jane; Hopkins, Thomas Glass; Gabra, Hani; Ghaem-Maghami, Sadaf; Huson, Les; Blagden, Sarah P.

    2015-01-01

    Objective The aim of this study was to construct a prognostic index that predicts risk of relapse in women who have completed first-line treatment for ovarian cancer (OC). Methods A database of OC cases from 2000 to 2010 was interrogated for International Federation of Gynecology and Obstetrics stage, grade and histological subtype of cancer, preoperative and posttreatment CA-125 level, presence or absence of residual disease after cytoreductive surgery and on postchemotherapy computed tomography scan, and time to progression and death. The strongest predictors of relapse were included into an algorithm, the Risk of Ovarian Cancer Relapse (ROVAR) score. Results Three hundred fifty-four cases of OC were analyzed to generate the ROVAR score. Factors selected were preoperative serum CA-125, International Federation of Gynecology and Obstetrics stage and grade of cancer, and presence of residual disease at posttreatment computed tomography scan. In the validation data set, the ROVAR score had a sensitivity and specificity of 94% and 61%, respectively. The concordance index for the validation data set was 0.91 (95% confidence interval, 0.85-0.96). The score allows patient stratification into low (0.67) probability of relapse. Conclusions The ROVAR score stratifies patients according to their risk of relapse following first-line treatment for OC. This can broadly facilitate the appropriate tailoring of posttreatment care and support. PMID:25647256

  4. Risk of prostate cancer among cancer survivors in the Netherlands

    NARCIS (Netherlands)

    Kok, D.E.; Schans, S.A. van de; Liu, L.; Kampman, E.; Coebergh, J.W.W.; Kiemeney, L.A.L.M.; Soerjomataram, I.; Aben, K.K.H.

    2013-01-01

    BACKGROUND: In parallel with increasing numbers of cancer patients and improving cancer survival, the occurrence of second primary cancers becomes a relevant issue. The aim of our study was to evaluate risk of prostate cancer as second primary cancer in a population-based setting. METHODS: Data from

  5. Risk of prostate cancer among cancer survivors in the Netherlands

    NARCIS (Netherlands)

    Kok, D.E.G.; Schans, van de S.A.; Liu, L.; Kampman, E.; Coebergh, J.W.; Kiemeney, L.A.; Soerjomataram, I.; Aben, K.K.

    2013-01-01

    In parallel with increasing numbers of cancer patients and improving cancer survival, the occurrence of second primary cancers becomes a relevant issue. The aim of our study was to evaluate risk of prostate cancer as second primary cancer in a population-based setting. Methods Data from the Netherla

  6. Perceptions of Cancer Risk and Cause of Cancer Risk in Korean Adults

    OpenAIRE

    Kye, Su Yeon; Park, Eun Young; Oh, Kyounghee; Park, Keeho

    2014-01-01

    Purpose The aims of the present study were to assess the prevalence of perceived risk for cancer; to explore associations between sociodemographics and family history of cancer and perceived cancer risk; to identify perceived cause of cancer risk; and to examine the associations between sociodemographics and family history of cancer and perceived cause of cancer risk. Materials and Methods This cross-sectional study was conducted among 1,009 participants aged 30-69 years, selected from a popu...

  7. Risk perception and cancer worries in families at increased risk of familial breast/ovarian cancer

    OpenAIRE

    Mellon, Suzanne; Gold, Robin; Janisse, James; Cichon, Michelle; Tainsky, Michael A; Simon, Michael S.; Korczak, Jeannette

    2008-01-01

    While families at increased risk for familial breast/ovarian cancer continue to overestimate their cancer risk with increased cancer worries about the future, few studies have examined factors that affect inherited cancer risk perception and cancer worries in both survivors and unaffected female relatives. The purpose of this study was to examine variables that may affect cancer worries and risk perceptions from a family-based perspective in a racially diverse, community-based, random sample ...

  8. A predictive model to guide management of the overlap region between target volume and organs at risk in prostate cancer volumetric modulated arc therapy

    International Nuclear Information System (INIS)

    The goal of this study is to determine whether the magnitude of overlap between planning target volume (PTV) and rectum (Rectumoverlap) or PTV and bladder (Bladderoverlap) in prostate cancer volumetric-modulated arc therapy (VMAT) is predictive of the dose-volume relationships achieved after optimization, and to identify predictive equations and cutoff values using these overlap volumes beyond which the Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC) dose-volume constraints are unlikely to be met. Fifty-seven patients with prostate cancer underwent VMAT planning using identical optimization conditions and normalization. The PTV (for the 50.4 Gy primary plan and 30.6 Gy boost plan) included 5 to 10 mm margins around the prostate and seminal vesicles. Pearson correlations, linear regression analyses, and receiver operating characteristic (ROC) curves were used to correlate the percentage overlap with dose-volume parameters. The percentage Rectumoverlap and Bladderoverlap correlated with sparing of that organ but minimally impacted other dose-volume parameters, predicted the primary plan rectum V45 and bladder V50 with R2 = 0.78 and R2 = 0.83, respectively, and predicted the boost plan rectum V30 and bladder V30 with R2 = 0.53 and R2 = 0.81, respectively. The optimal cutoff value of boost Rectumoverlap to predict rectum V75 >15% was 3.5% (sensitivity 100%, specificity 94%, p overlap to predict bladder V80 >10% was 5.0% (sensitivity 83%, specificity 100%, p < 0.01). The degree of overlap between PTV and bladder or rectum can be used to accurately guide physicians on the use of interventions to limit the extent of the overlap region prior to optimization.

  9. A predictive model to guide management of the overlap region between target volume and organs at risk in prostate cancer volumetric modulated arc therapy

    Energy Technology Data Exchange (ETDEWEB)

    Mattes, Malcolm D.; Lee, Jennifer C.; Einaiem, Sara; Guirguis, Adel; Ikoro, N. C.; Ashamalla Hani [Dept. of Radiation Oncology, New York Methodist Hospital, Brooklyn (United States)

    2013-12-15

    The goal of this study is to determine whether the magnitude of overlap between planning target volume (PTV) and rectum (Rectum{sub overlap}) or PTV and bladder (Bladder{sub overlap}) in prostate cancer volumetric-modulated arc therapy (VMAT) is predictive of the dose-volume relationships achieved after optimization, and to identify predictive equations and cutoff values using these overlap volumes beyond which the Quantitative Analyses of Normal Tissue Effects in the Clinic (QUANTEC) dose-volume constraints are unlikely to be met. Fifty-seven patients with prostate cancer underwent VMAT planning using identical optimization conditions and normalization. The PTV (for the 50.4 Gy primary plan and 30.6 Gy boost plan) included 5 to 10 mm margins around the prostate and seminal vesicles. Pearson correlations, linear regression analyses, and receiver operating characteristic (ROC) curves were used to correlate the percentage overlap with dose-volume parameters. The percentage Rectum{sub overlap} and Bladder{sub overlap} correlated with sparing of that organ but minimally impacted other dose-volume parameters, predicted the primary plan rectum V{sub 45} and bladder V{sub 50} with R{sup 2} = 0.78 and R{sup 2} = 0.83, respectively, and predicted the boost plan rectum V{sub 30} and bladder V{sub 30} with R{sup 2} = 0.53 and R{sup 2} = 0.81, respectively. The optimal cutoff value of boost Rectumoverlap to predict rectum V75 >15% was 3.5% (sensitivity 100%, specificity 94%, p < 0.01), and the optimal cutoff value of boost Bladder{sub overlap} to predict bladder V{sub 80} >10% was 5.0% (sensitivity 83%, specificity 100%, p < 0.01). The degree of overlap between PTV and bladder or rectum can be used to accurately guide physicians on the use of interventions to limit the extent of the overlap region prior to optimization.

  10. A risk evaluation model of cervical cancer based on etiology and human leukocyte antigen allele susceptibility

    OpenAIRE

    Bicheng Hu; Ning Tao; Fanyu Zeng; Min Zhao; Lixin Qiu; Wen Chen; Yun Tan; Yun Wei; Xufeng Wu; Xinxing Wu

    2014-01-01

    Background: There are no reliable risk factors to accurately predict progression to cervical cancer in patients with chronic cervicitis infected with human papillomavirus (HPV). The aim of this study was to create a validated predictive model based on the risk factors for cervical cancer. A model to estimate the risk of cervical cancer may help select patients for intervention therapy in order to reduce the occurrence of cervical cancer after HPV infection. Methods: This retrospective anal...

  11. Adipocytokines and breast cancer risk

    Institute of Scientific and Technical Information of China (English)

    HOU Wei-kai; XU Yu-xin; YU Ting; ZHANG Li; ZHANG Wen-wen; FU Chun-li; SUN Yu; WU Qing; CHEN Li

    2007-01-01

    Background Many researches suggested that obesity increased the risk of breast cancer, but the mechanism was currently unknown. Adipocytokines might mediate the relationship. Our study was aimed to investigate the relationship between serum levels of resistin, adiponectin and leptin and the onset, invasion and metastasis of breast cancer.Methods Blood samples were collected from 80 newly diagnosed, histologically confirmed breast cancer patients and 50 age-matched healthy controls. Serum levels of resistin, adiponectin and leptin were determined by enzyme-linked immunosorbent assays (ELISA); fasting blood glucose (FBG), lipids, body mass index (BMI), and waist circumference (WC) were assayed simultaneously.Results Serum levels of adiponectin ((8.60±2.92) mg/L vs (10.37±2.81) mg/L, P=0.001) and HDL-c were significantly decreased in breast cancer patients in comparison to controls. Serum levels of resistin ((26.35±5.36) μg/L vs (23.32±4.75)μg/L, P=0.000), leptin ((1.35±0.42) μg/L vs (1.06±0.39) μg/L, P=0.003), FBG and triglyceride (TG) in breast cancer patients were increased in contrast to controls, respectively. However, we did not find the significant difference of the serum levels of resistin, adiponectin and leptin between premenopausal breast cancer patients and healthy controls (P=0.091, 0.109 and 0.084, respectively). The serum levels of resistin, adiponectin and leptin were significantly different between patients with lymph node metastasis (LNM) and those without LNM (P=0.001, 0.000 and 0.006, respectively).The stepwise regression analysis indicated that the tumor size had the close correlation with leptin (R2=0.414, P=0.000)and FBG (R2=0.602, P=0.000). Logistic regression analysis showed that reduced serum levels of adiponectin (OR:0.805;95%CI: 0.704-0.921; P=0.001), HDL (OR: 0.087; 95%CI: 0.011-0.691, P=0.021), elevated leptin (OR:2.235;95%CI:1.898-4.526; P=0.004) and resistin (OR: 1.335; 95%CI: 1.114-2.354; P=0.012) increased the risk for

  12. An epigenetic signature in peripheral blood predicts active ovarian cancer.

    Directory of Open Access Journals (Sweden)

    Andrew E Teschendorff

    Full Text Available BACKGROUND: Recent studies have shown that DNA methylation (DNAm markers in peripheral blood may hold promise as diagnostic or early detection/risk markers for epithelial cancers. However, to date no study has evaluated the diagnostic and predictive potential of such markers in a large case control cohort and on a genome-wide basis. PRINCIPAL FINDINGS: By performing genome-wide DNAm profiling of a large ovarian cancer case control cohort, we here demonstrate that active ovarian cancer has a significant impact on the DNAm pattern in peripheral blood. Specifically, by measuring the methylation levels of over 27,000 CpGs in blood cells from 148 healthy individuals and 113 age-matched pre-treatment ovarian cancer cases, we derive a DNAm signature that can predict the presence of active ovarian cancer in blind test sets with an AUC of 0.8 (95% CI (0.74-0.87. We further validate our findings in another independent set of 122 post-treatment cases (AUC = 0.76 (0.72-0.81. In addition, we provide evidence for a significant number of candidate risk or early detection markers for ovarian cancer. Furthermore, by comparing the pattern of methylation with gene expression data from major blood cell types, we here demonstrate that age and cancer elicit common changes in the composition of peripheral blood, with a myeloid skewing that increases with age and which is further aggravated in the presence of ovarian cancer. Finally, we show that most cancer and age associated methylation variability is found at CpGs located outside of CpG islands. SIGNIFICANCE: Our results underscore the potential of DNAm profiling in peripheral blood as a tool for detection or risk-prediction of epithelial cancers, and warrants further in-depth and higher CpG coverage studies to further elucidate this role.

  13. Vitamins and Prostate Cancer Risk

    Directory of Open Access Journals (Sweden)

    Charles Y.F. Young

    2010-03-01

    Full Text Available Prostate cancer (PC is the second most common cancer in men worldwide. Its prevention and treatment remain a challenge to clinicians. Here we review the relationship of vitamins to PC risk. Many vitamins and related chemicals, including vitamin A, retinoids, several B vitamins, vitamin C, vitamin D and vitamin E have shown their anti-cancer activities as anti-oxidants, activators of transcription factors or factors influencing epigenetic events. Although laboratory tests including the use of animal models showed these vitamins may have anti-PC properties, whether they can effectively prevent the development and/or progression of PC in humans remains to be intensively studied subjects. This review will provide up-to-date information regarding the recent outcomes of laboratory, epidemiology and/or clinical trials on the effects of vitamins on PC prevention and/or treatment.

  14. Predicting toxicity in radiotherapy for prostate cancer.

    Science.gov (United States)

    Landoni, Valeria; Fiorino, Claudio; Cozzarini, Cesare; Sanguineti, Giuseppe; Valdagni, Riccardo; Rancati, Tiziana

    2016-03-01

    This comprehensive review addresses most organs at risk involved in planning optimization for prostate cancer. It can be considered an update of a previous educational review that was published in 2009 (Fiorino et al., 2009). The literature was reviewed based on PubMed and MEDLINE database searches (from January 2009 up to September 2015), including papers in press; for each section/subsection, key title words were used and possibly combined with other more general key-words (such as radiotherapy, dose-volume effects, NTCP, DVH, and predictive model). Publications generally dealing with toxicity without any association with dose-volume effects or correlations with clinical risk factors were disregarded, being outside the aim of the review. A focus was on external beam radiotherapy, including post-prostatectomy, with conventional fractionation or moderate hypofractionation (<4Gy/fraction); extreme hypofractionation is the topic of another paper in this special issue. Gastrointestinal and urinary toxicity are the most investigated endpoints, with quantitative data published in the last 5years suggesting both a dose-response relationship and the existence of a number of clinical/patient related risk factors acting as dose-response modifiers. Some results on erectile dysfunction, bowel toxicity and hematological toxicity are also presented. PMID:27068274

  15. Developmental Dyslexia: Predicting Individual Risk

    Science.gov (United States)

    Thompson, Paul A.; Hulme, Charles; Nash, Hannah M.; Gooch, Debbie; Hayiou-Thomas, Emma; Snowling, Margaret J.

    2015-01-01

    Background: Causal theories of dyslexia suggest that it is a heritable disorder, which is the outcome of multiple risk factors. However, whether early screening for dyslexia is viable is not yet known. Methods: The study followed children at high risk of dyslexia from preschool through the early primary years assessing them from age 3 years and 6…

  16. Cardiovascular risk prediction in the Netherlands

    NARCIS (Netherlands)

    Dis, van S.J.

    2011-01-01

    Background: In clinical practice, Systematic COronary Risk Evaluation (SCORE) risk prediction functions and charts are used to identify persons at high risk for cardiovascular diseases (CVD), who are considered eligible for drug treatment of elevated blood pressure and serum cholesterol. These funct

  17. Developmental dyslexia: predicting individual risk

    OpenAIRE

    Thompson, PA; Hulme, C; Nash, HM; Gooch, Van D.; Hayiou-Thomas, E; Snowling, MJ

    2015-01-01

    Background: Causal theories of dyslexia suggest that it is a heritable disorder, which is the outcome of multiple risk factors. However, whether early screening for dyslexia is viable is not yet known. Methods: The study followed children at high risk of dyslexia from preschool through the early primary years assessing them from age 3 years and 6 months (T1) at approximately annual intervals on tasks tapping cognitive, language, and executive-motor skills. The children were recruited to three...

  18. Refining Breast Cancer Risk Stratification: Additional Genes, Additional Information.

    Science.gov (United States)

    Kurian, Allison W; Antoniou, Antonis C; Domchek, Susan M

    2016-01-01

    Recent advances in genomic technology have enabled far more rapid, less expensive sequencing of multiple genes than was possible only a few years ago. Advances in bioinformatics also facilitate the interpretation of large amounts of genomic data. New strategies for cancer genetic risk assessment include multiplex sequencing panels of 5 to more than 100 genes (in which rare mutations are often associated with at least two times the average risk of developing breast cancer) and panels of common single-nucleotide polymorphisms (SNPs), combinations of which are generally associated with more modest cancer risks (more than twofold). Although these new multiple-gene panel tests are used in oncology practice, questions remain about the clinical validity and the clinical utility of their results. To translate this increasingly complex genetic information for clinical use, cancer risk prediction tools are under development that consider the joint effects of all susceptibility genes, together with other established breast cancer risk factors. Risk-adapted screening and prevention protocols are underway, with ongoing refinement as genetic knowledge grows. Priority areas for future research include the clinical validity and clinical utility of emerging genetic tests; the accuracy of developing cancer risk prediction models; and the long-term outcomes of risk-adapted screening and prevention protocols, in terms of patients' experiences and survival. PMID:27249685

  19. Risk assessment as a prediction of recidivism

    OpenAIRE

    Zavackis, Anvars

    2014-01-01

    Risk assessment and management is one of the key organising frameworks of crime control in modern society. The aim of the thesis is to research risk assessment practices in predicting crime recidivism and to assess the consequences of implementing these practices, also providing for description of historical, social, cultural and political aspects of their development and maintenance. The initial analysis of risk is a theoretical one, employing insights from different risk sociology theories....

  20. Fuzzy sets applications for cancer risk assessment.

    Science.gov (United States)

    Molchanov, P A; Dudatiev, A V; Podobna, Y Y; Molchanova, O P

    2002-09-01

    The method of cancer risk assessment on the basis of the Fuzzy Set Theory is presented. The method is based on a multifactor risk assessment of cancer diseases. The individual risk of cancer disease is evaluated as the probability of disease multiplied by the value of an individual dose. An acupuncture method of cancer risk assessments was developed. The method is based on the analysis of changes of an electromagnetic field (biofield) of a person. The method allows to determine both cancer probability and probable location of the process.

  1. Fuzzy sets applications for cancer risk assessment.

    Science.gov (United States)

    Molchanov, P A; Dudatiev, A V; Podobna, Y Y; Molchanova, O P

    2002-09-01

    The method of cancer risk assessment on the basis of the Fuzzy Set Theory is presented. The method is based on a multifactor risk assessment of cancer diseases. The individual risk of cancer disease is evaluated as the probability of disease multiplied by the value of an individual dose. An acupuncture method of cancer risk assessments was developed. The method is based on the analysis of changes of an electromagnetic field (biofield) of a person. The method allows to determine both cancer probability and probable location of the process. PMID:12298344

  2. Gastric cancer: prevention, risk factors and treatment

    OpenAIRE

    Zali, Hakimeh; Rezaei-Tavirani, Mostafa; Azodi, Mona

    2011-01-01

    Cancer starts with a change in one single cell. This change may be initiated by external agents and genetic factors. Cancer is a leading cause of death worldwide and accounts for 7.6 million deaths (around 13% of all deaths) in 2008. Lung, stomach, liver, colon and breast cancer cause the most cancer deaths each year. In this review, different aspects of gastric cancer; including clinical, pathological characteristic of gastric cancer, etiology, incidence, risk factors, prevention and treatme...

  3. Development and application of chronic disease risk prediction models.

    Science.gov (United States)

    Oh, Sun Min; Stefani, Katherine M; Kim, Hyeon Chang

    2014-07-01

    Currently, non-communicable chronic diseases are a major cause of morbidity and mortality worldwide, and a large proportion of chronic diseases are preventable through risk factor management. However, the prevention efficacy at the individual level is not yet satisfactory. Chronic disease prediction models have been developed to assist physicians and individuals in clinical decision-making. A chronic disease prediction model assesses multiple risk factors together and estimates an absolute disease risk for the individual. Accurate prediction of an individual's future risk for a certain disease enables the comparison of benefits and risks of treatment, the costs of alternative prevention strategies, and selection of the most efficient strategy for the individual. A large number of chronic disease prediction models, especially targeting cardiovascular diseases and cancers, have been suggested, and some of them have been adopted in the clinical practice guidelines and recommendations of many countries. Although few chronic disease prediction tools have been suggested in the Korean population, their clinical utility is not as high as expected. This article reviews methodologies that are commonly used for developing and evaluating a chronic disease prediction model and discusses the current status of chronic disease prediction in Korea.

  4. Chronic obstructive pulmonary disease and cancer risk

    DEFF Research Database (Denmark)

    Kornum, Jette Brommann; Sværke, Claus; Thomsen, Reimar Wernich;

    2012-01-01

    Little is known about the risk of cancer in patients with chronic obstructive pulmonary disease (COPD), including which cancer sites are most affected. We examined the short- and long-term risk of lung and extrapulmonary cancer in a nationwide cohort of COPD patients....

  5. Combining gene signatures improves prediction of breast cancer survival.

    Directory of Open Access Journals (Sweden)

    Xi Zhao

    Full Text Available BACKGROUND: Several gene sets for prediction of breast cancer survival have been derived from whole-genome mRNA expression profiles. Here, we develop a statistical framework to explore whether combination of the information from such sets may improve prediction of recurrence and breast cancer specific death in early-stage breast cancers. Microarray data from two clinically similar cohorts of breast cancer patients are used as training (n = 123 and test set (n = 81, respectively. Gene sets from eleven previously published gene signatures are included in the study. PRINCIPAL FINDINGS: To investigate the relationship between breast cancer survival and gene expression on a particular gene set, a Cox proportional hazards model is applied using partial likelihood regression with an L2 penalty to avoid overfitting and using cross-validation to determine the penalty weight. The fitted models are applied to an independent test set to obtain a predicted risk for each individual and each gene set. Hierarchical clustering of the test individuals on the basis of the vector of predicted risks results in two clusters with distinct clinical characteristics in terms of the distribution of molecular subtypes, ER, PR status, TP53 mutation status and histological grade category, and associated with significantly different survival probabilities (recurrence: p = 0.005; breast cancer death: p = 0.014. Finally, principal components analysis of the gene signatures is used to derive combined predictors used to fit a new Cox model. This model classifies test individuals into two risk groups with distinct survival characteristics (recurrence: p = 0.003; breast cancer death: p = 0.001. The latter classifier outperforms all the individual gene signatures, as well as Cox models based on traditional clinical parameters and the Adjuvant! Online for survival prediction. CONCLUSION: Combining the predictive strength of multiple gene signatures improves

  6. Risks of Skin Cancer Screening

    Science.gov (United States)

    ... Genetics of Skin Cancer Skin Cancer Screening Research Skin Cancer Screening (PDQ®)–Patient Version What is screening? Go ... These are called diagnostic tests . General Information About Skin Cancer Key Points Skin cancer is a disease in ...

  7. What Are the Risk Factors for Bladder Cancer?

    Science.gov (United States)

    ... cancer Next Topic What causes bladder cancer? Bladder cancer risk factors A risk factor is anything that changes your ... make a person more likely to develop bladder cancer. Risk factors you can change Smoking Smoking is the most ...

  8. Prediction of eyespot infection risks

    Directory of Open Access Journals (Sweden)

    M. Váòová

    2012-12-01

    Full Text Available The objective of the study was to design a prediction model for eyespot (Tapesia yallundae infection based on climatic factors (temperature, precipitation, air humidity. Data from experiment years 1994-2002 were used to study correlations between the eyespot infection index and individual weather characteristics. The model of prediction was constructed using multiple regression when a separate parameter is assigned to each factor, i.e. the frequency of days with optimum temperatures, humidity, and precipitation. The correlation between relative air humidity and precipitation and the infection index is significant.

  9. Predictive and therapeutic markers in ovarian cancer

    Science.gov (United States)

    Gray, Joe W.; Guan, Yinghui; Kuo, Wen-Lin; Fridlyand, Jane; Mills, Gordon B.

    2013-03-26

    Cancer markers may be developed to detect diseases characterized by increased expression of apoptosis-suppressing genes, such as aggressive cancers. Genes in the human chromosomal regions, 8q24, 11q13, 20q11-q13, were found to be amplified indicating in vivo drug resistance in diseases such as ovarian cancer. Diagnosis and assessment of amplification levels certain genes shown to be amplified, including PVT1, can be useful in prediction of poor outcome of patient's response and drug resistance in ovarian cancer patients with low survival rates. Certain genes were found to be high priority therapeutic targets by the identification of recurrent aberrations involving genome sequence, copy number and/or gene expression are associated with reduced survival duration in certain diseases and cancers, specifically ovarian cancer. Therapeutics to inhibit amplification and inhibitors of one of these genes, PVT1, target drug resistance in ovarian cancer patients with low survival rates is described.

  10. Risk of second primary cancer following differentiated thyroid cancer

    International Nuclear Information System (INIS)

    Concerns remain over the risk of cancer following differentiated thyroid carcinoma and its causes. Iodine-131 (131I) and external irradiation are known to have potential carcinogenic effects. Thyroid carcinoma is a polygenic disease which may be associated with other malignancies. We investigated the incidence of second cancer and its aetiology in a cohort of 875 patients (146 men, 729 women) with differentiated thyroid carcinoma originating from Basse-Normandie, France. Cancer incidence was compared with that of the general population of the Departement du Calvados matched for age, gender and period. The cumulative proportion of second cancer was estimated using the life-table method. Factors that correlated with the risk of second cancer were studied using the Cox model. After a median follow-up of 8 years, 58 second cancers had been observed. Compared with general population incidence rates, there was an overall increased risk of second cancer in women [standardised incidence ratio (SIR)=1.52; P0.20). Increased risk related to cancers of the genitourinary tract (SIR=3.31; P131I was related to the risk. These data confirm that women with differentiated thyroid carcinoma are at risk of developing a second cancer of the genitourinary tract and kidney. Only age and medical history of primary cancer before thyroid carcinoma are risk factors for second cancer. Common environmental or genetic factors as well as long-term carcinogenic effects of primary cancer therapy should be considered. (orig.)

  11. Risk Profiling May Improve Lung Cancer Screening

    Science.gov (United States)

    A new modeling study suggests that individualized, risk-based selection of ever-smokers for lung cancer screening may prevent more lung cancer deaths and improve the effectiveness and efficiency of screening compared with current screening recommendations

  12. Risk-optimized proton therapy to minimize radiogenic second cancers

    International Nuclear Information System (INIS)

    Proton therapy confers substantially lower predicted risk of second cancer compared with photon therapy. However, no previous studies have used an algorithmic approach to optimize beam angle or fluence-modulation for proton therapy to minimize those risks. The objectives of this study were to demonstrate the feasibility of risk-optimized proton therapy and to determine the combination of beam angles and fluence weights that minimizes the risk of second cancer in the bladder and rectum for a prostate cancer patient. We used 6 risk models to predict excess relative risk of second cancer. Treatment planning utilized a combination of a commercial treatment planning system and an in-house risk-optimization algorithm. When normal-tissue dose constraints were incorporated in treatment planning, the risk model that incorporated the effects of fractionation, initiation, inactivation, repopulation and promotion selected a combination of anterior and lateral beams, which lowered the relative risk by 21% for the bladder and 30% for the rectum compared to the lateral-opposed beam arrangement. Other results were found for other risk models. (paper)

  13. Stressful life events and cancer risk

    DEFF Research Database (Denmark)

    Bergelt, C; Prescott, E; Grønbaek, M;

    2006-01-01

    In a prospective cohort study in Denmark of 8736 randomly selected people, no evidence was found among 1011 subjects who developed cancer that self-reported stressful major life events had increased their risk for cancer.......In a prospective cohort study in Denmark of 8736 randomly selected people, no evidence was found among 1011 subjects who developed cancer that self-reported stressful major life events had increased their risk for cancer....

  14. Elevated risk for gastric adenocarcinoma can be predicted from histomorphology

    Institute of Scientific and Technical Information of China (English)

    Michael Vieth; Mandred Stolte

    2006-01-01

    The number of patients with gastric cancer has more than doubled since 1985 in developing countries.Thus, the questions of whether it can be predicted from gastritis morphology, who is at risk and who has a lower risk of developing gastric carcinoma are raised. H pylori-infection leads to erosions, ulcerations,carcinoma, rnucosa associated lymphoid tissue (MALT)-lymphoma and extragastric diseases only in some individuals. The frequency of ulcerations among H pylori-infected individuals is estimated to be 13%,gastric cancer about 1% and MALT lymphoma around 0.1%. In the literature a multistep model from chronic active H pylori-infection through multifocal atrophy,intestinal metaplasia, dysplasia (intraepithelial neoplasia)and carcinoma has been described. But this model cannot be applied to all routine cases. Since risk factors such as metaplasia and atrophy are paracancerous rather than precancerous conditions, this raises the question whether there is a better morphological marker. Differences in topography, grade and activity of Helicobacter gastritis in the antrum and corpus might be good markers for identifying those who are at risk of developing gastric cancer. It is known that the so-called corpus dominant H pylori gastritis is found more frequently among individuals with early and advanced gastric cancer and within high risk populations. This is valid both for firstdegree relatives of gastric cancer patients and for patients with gastric adenoma and hyperplastic polyps.In conclusion, corpus-dominant H pylori gestritis is significantly more common in patients with advanced and early gastric cancer, first-degree relatives of patients with gastric cancer, patients with gastric adenoma and gastric hyperplastic polyps. Therefore, all these patients are at risk of developing gastric cancer. Next, the question of who is at risk of developing corpus-dominant gastritis is raised. It appears that patients with a low acid output more frequently develop gastric cancer

  15. Subclinical organ damage and cardiovascular risk prediction

    DEFF Research Database (Denmark)

    Sehestedt, Thomas; Olsen, Michael H

    2010-01-01

    by measuring subclinical organ damage. We have (i) reviewed recent studies linking markers of subclinical organ damage in the heart, blood vessels and kidney to cardiovascular risk; (ii) discussed the evidence for improvement in cardiovascular risk prediction using markers of subclinical organ damage; (iii...

  16. Gene-environment interaction and risk of breast cancer.

    Science.gov (United States)

    Rudolph, Anja; Chang-Claude, Jenny; Schmidt, Marjanka K

    2016-01-19

    Hereditary, genetic factors as well as lifestyle and environmental factors, for example, parity and body mass index, predict breast cancer development. Gene-environment interaction studies may help to identify subgroups of women at high-risk of breast cancer and can be leveraged to discover new genetic risk factors. A few interesting results in studies including over 30,000 breast cancer cases and healthy controls indicate that such interactions exist. Explorative gene-environment interaction studies aiming to identify new genetic or environmental factors are scarce and still underpowered. Gene-environment interactions might be stronger for rare genetic variants, but data are lacking. Ongoing initiatives to genotype larger sample sets in combination with comprehensive epidemiologic databases will provide further opportunities to study gene-environment interactions in breast cancer. However, based on the available evidence, we conclude that associations between the common genetic variants known today and breast cancer risk are only weakly modified by environmental factors, if at all.

  17. Machine learning applications in cancer prognosis and prediction

    Directory of Open Access Journals (Sweden)

    Konstantina Kourou

    2015-01-01

    Full Text Available Cancer has been characterized as a heterogeneous disease consisting of many different subtypes. The early diagnosis and prognosis of a cancer type have become a necessity in cancer research, as it can facilitate the subsequent clinical management of patients. The importance of classifying cancer patients into high or low risk groups has led many research teams, from the biomedical and the bioinformatics field, to study the application of machine learning (ML methods. Therefore, these techniques have been utilized as an aim to model the progression and treatment of cancerous conditions. In addition, the ability of ML tools to detect key features from complex datasets reveals their importance. A variety of these techniques, including Artificial Neural Networks (ANNs, Bayesian Networks (BNs, Support Vector Machines (SVMs and Decision Trees (DTs have been widely applied in cancer research for the development of predictive models, resulting in effective and accurate decision making. Even though it is evident that the use of ML methods can improve our understanding of cancer progression, an appropriate level of validation is needed in order for these methods to be considered in the everyday clinical practice. In this work, we present a review of recent ML approaches employed in the modeling of cancer progression. The predictive models discussed here are based on various supervised ML techniques as well as on different input features and data samples. Given the growing trend on the application of ML methods in cancer research, we present here the most recent publications that employ these techniques as an aim to model cancer risk or patient outcomes.

  18. Vitamin D, Sunlight and Prostate Cancer Risk

    OpenAIRE

    Krishna Vanaja Donkena; Young, Charles Y. F.

    2011-01-01

    Prostate cancer is the second common cancer in men worldwide. The prevention of prostate cancer remains a challenge to researchers and clinicians. Here, we review the relationship of vitamin D and sunlight to prostate cancer risk. Ultraviolet radiation of the sunlight is the main stimulator for vitamin D production in humans. Vitamin D's antiprostate cancer activities may be involved in the actions through the pathways mediated by vitamin D metabolites, vitamin D metabolizing enzymes, vitamin...

  19. Statin use and risk for ovarian cancer

    DEFF Research Database (Denmark)

    Baandrup, L; Dehlendorff, C; Friis, Søren;

    2015-01-01

    BACKGROUND: Limited data suggest that statin use reduces the risk for ovarian cancer. METHODS: Using Danish nationwide registries, we identified 4103 cases of epithelial ovarian cancer during 2000-2011 and age-matched them to 58,706 risk-set sampled controls. Conditional logistic regression was...... used to estimate adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for epithelial ovarian cancer overall, and for histological types, associated with statin use. RESULTS: We observed a neutral association between ever use of statins and epithelial ovarian cancer risk (OR=0.98, 95% CI=0.......87-1.10), and no apparent risk variation according to duration, intensity or type of statin use. Decreased ORs associated with statin use were seen for mucinous ovarian cancer (ever statin use: OR=0.63, 95% CI=0.39-1.00). CONCLUSIONS: Statin use was not associated with overall risk for epithelial ovarian cancer...

  20. Risk of second primary cancer following differentiated thyroid cancer

    Energy Technology Data Exchange (ETDEWEB)

    Berthe, Emmanuelle; Berthet, Pascaline; Bardet, Stephane [Service de Medecine Nucleaire, CLCC Francois Baclesse, Avenue General Harris, 14076, Caen Cedex 05 (France); Henry-Amar, Michel [Service de Recherche Clinique, CLCC Francois Baclesse, Caen (France); Michels, Jean-Jacques [Service d' Anatomie Pathologique, CLCC Francois Baclesse, Caen (France); Rame, Jean-Pierre [Service de Chirurgie ORL, CLCC Francois Baclesse, Caen (France); Babin, Emmanuel [Service de Chirurgie ORL, Centre Hospitalo-Universitaire, Caen (France); Icard, Philippe [Service de Chirurgie Thoracique, Centre Hospitalo-Universitaire, Caen (France); Samama, Guy [Service de Chirurgie Generale, Centre Hospitalo-Universitaire, Caen (France); Galateau-Salle, Francoise [Service d' Anatomie Pathologique, Centre Hospitalo-Universitaire, Caen (France); Mahoudeau, Jacques [Service d' Endocrinologie, Centre Hospitalo-Universitaire, Caen (France)

    2004-05-01

    Concerns remain over the risk of cancer following differentiated thyroid carcinoma and its causes. Iodine-131 ({sup 131}I) and external irradiation are known to have potential carcinogenic effects. Thyroid carcinoma is a polygenic disease which may be associated with other malignancies. We investigated the incidence of second cancer and its aetiology in a cohort of 875 patients (146 men, 729 women) with differentiated thyroid carcinoma originating from Basse-Normandie, France. Cancer incidence was compared with that of the general population of the Departement du Calvados matched for age, gender and period. The cumulative proportion of second cancer was estimated using the life-table method. Factors that correlated with the risk of second cancer were studied using the Cox model. After a median follow-up of 8 years, 58 second cancers had been observed. Compared with general population incidence rates, there was an overall increased risk of second cancer in women [standardised incidence ratio (SIR)=1.52; P<0.01], but not in men (SIR=1.27; P>0.20). Increased risk related to cancers of the genitourinary tract (SIR=3.31; P<0.001), and particularly to cancer of the kidney (SIR=7.02; P<0.01). Multivariate analysis showed that age above 40 years (P<0.01) and a history of previous primary cancer (P<0.001) correlated with risk. In contrast, neither cervical irradiation nor cumulative activity of {sup 131}I was related to the risk. These data confirm that women with differentiated thyroid carcinoma are at risk of developing a second cancer of the genitourinary tract and kidney. Only age and medical history of primary cancer before thyroid carcinoma are risk factors for second cancer. Common environmental or genetic factors as well as long-term carcinogenic effects of primary cancer therapy should be considered. (orig.)

  1. Formalized prediction of clinically significant prostate cancer: is it possible?

    Institute of Scientific and Technical Information of China (English)

    Carvell T Nguyen; Michael W Kattan

    2012-01-01

    Greater understanding of the biology and epidemiology of prostate cancer in the last several decades have led to significant advances in its management.Prostate cancer is now detected in greater numbers at lower stages of disease and is amenable to multiple forms of efficacious treatment.However,there is a lack of conclusive data demonstrating a definitive mortality benefit from this earlier diagnosis and treatment of prostate cancer.It is likely due to the treatment of a large proportion of indolent cancers that would have had little adverse impact on health or lifespan if left alone.Due to this overtreatment phenomenon,active surveillance with delayed intervention is gaining traction as a viable management approach in contemporary practice.The ability to distinguish clinically insignificant cancers from those with a high risk of progression and/or lethality is critical to the appropriate selection of patients for surveillance protocols versus immediate intervention.This chapter will review the ability of various prediction models,including risk groupings and nomograms,to predict indolent disease and determine their role in the contemporary management of clinically localized prostate cancer.

  2. COMBINING CLASSIFIERS FOR CREDIT RISK PREDICTION

    Institute of Scientific and Technical Information of China (English)

    Bhekisipho TWALA

    2009-01-01

    Credit risk prediction models seek to predict quality factors such as whether an individual will default (bad applicant) on a loan or not (good applicant). This can be treated as a kind of machine learning (ML) problem. Recently, the use of ML algorithms has proven to be of great practical value in solving a variety of risk problems including credit risk prediction. One of the most active areas of recent research in ML has been the use of ensemble (combining) classifiers. Research indicates that ensemble individual classifiers lead to a significant improvement in classification performance by having them vote for the most popular class. This paper explores the predicted behaviour of five classifiers for different types of noise in terms of credit risk prediction accuracy, and how could such accuracy be improved by using pairs of classifier ensembles. Benchmarking results on five credit datasets and comparison with the performance of each individual classifier on predictive accuracy at various attribute noise levels are presented. The experimental evaluation shows that the ensemble of classifiers technique has the potential to improve prediction accuracy.

  3. Predictive Assay For Cancer Targets

    Energy Technology Data Exchange (ETDEWEB)

    Suess, A; Nguyen, C; Sorensen, K; Montgomery, J; Souza, B; Kulp, K; Dugan, L; Christian, A

    2005-09-19

    Early detection of cancer is a key element in successful treatment of the disease. Understanding the particular type of cancer involved, its origins and probable course, is also important. PhIP (2-amino-1-methyl-6 phenylimidazo [4,5-b]pyridine), a heterocyclic amine produced during the cooking of meat at elevated temperatures, has been shown to induce mammary cancer in female, Sprague-Dawley rats. Tumors induced by PhIP have been shown to contain discreet cytogenetic signature patterns of gains and losses using comparative genomic hybridization (CGH). To determine if a protein signature exists for these tumors, we are analyzing expression levels of the protein products of the above-mentioned tumors in combination with a new bulk protein subtractive assay. This assay produces a panel of antibodies against proteins that are either on or off in the tumor. Hybridization of the antibody panel onto a 2-D gel of tumor or control protein will allow for identification of a distinct protein signature in the tumor. Analysis of several gene databases has identified a number of rat homologs of human cancer genes located in these regions of gain and loss. These genes include the oncogenes c-MYK, ERBB2/NEU, THRA and tumor suppressor genes EGR1 and HDAC3. The listed genes have been shown to be estrogen-responsive, suggesting a possible link between delivery of bio-activated PhIP to the cell nucleus via estrogen receptors and gene-specific PhIP-induced DNA damage, leading to cell transformation. All three tumors showed similar silver staining patterns compared to each other, while they all were different than the control tissue. Subsequent screening of these genes against those from tumors know to be caused by other agents may produce a protein signature unique to PhIP, which can be used as a diagnostic to augment optical and radiation-based detection schemes.

  4. Balancing Life with an Increased Risk of Cancer

    DEFF Research Database (Denmark)

    Petersen, Helle Vendel; Nilbert, Mef; Bernstein, Inge;

    2014-01-01

    Possibilities to undergo predictive genetic testing for cancer have expanded, which implies that an increasing number of healthy individuals will learn about cancer predisposition. Knowledge about how an increased risk of disease influences life in a long-term perspective is largely unknown, which...... identified and formed the essence of the phenomenon "living with knowledge about risk." Family context influences how experiences and knowledge are interpreted and transformed into thoughts and feelings, which relates to how risk is approached and handled. The constitutions influence each other in a dynamic...

  5. Dietary fat and risk of breast cancer

    Directory of Open Access Journals (Sweden)

    Mathew Aleyamma

    2005-07-01

    Full Text Available Abstract Background Breast cancer is one of the major public health problems among women worldwide. A number of epidemiological studies have been carried out to find the role of dietary fat and the risk of breast cancer. The main objective of the present communication is to summarize the evidence from various case-control and cohort studies on the consumption of fat and its subtypes and their effect on the development of breast cancer. Methods A Pubmed search for literature on the consumption of dietary fat and risk of breast cancer published from January 1990 through December 2003 was carried out. Results Increased consumption of total fat and saturated fat were found to be positively associated with the development of breast cancer. Even though an equivocal association was observed for the consumption of total monounsaturated fatty acids (MUFA and the risk of breast cancer, there exists an inverse association in the case of oleic acid, the most abundant MUFA. A moderate inverse association between consumption of n-3 fatty acids and breast cancer risk and a moderate positive association between n-6 fatty acids and breast cancer risk were observed. Conclusion Even though all epidemiological studies do not provide a strong positive association between the consumption of certain types of dietary fat and breast cancer risk, at least a moderate association does seem to exist and this has a number of implications in view of the fact that breast cancer is an increasing public health concern.

  6. Hormonal contraception and risk of cancer

    DEFF Research Database (Denmark)

    Cibula, D; Gompel, A; Mueck, A O;

    2010-01-01

    Fear from increased cancer risk is one of the most significant reasons for low acceptance of reliable contraceptive methods and low compliance.......Fear from increased cancer risk is one of the most significant reasons for low acceptance of reliable contraceptive methods and low compliance....

  7. Immunosuppression and risk of cervical cancer

    DEFF Research Database (Denmark)

    Dugué, Pierre-Antoine; Rebolj, Matejka; Garred, Peter;

    2013-01-01

    A markedly increased risk of cervical cancer is known in women immunosuppressed due to AIDS or therapy following organ transplantation. The aim of this review is to determine the association between other conditions affecting the immune system and the risk of cervical cancer. Patients with end...

  8. A TCP model for external beam treatment of intermediate-risk prostate cancer.

    LENUS (Irish Health Repository)

    Walsh, Seán

    2013-03-01

    Biological models offer the ability to predict clinical outcomes. The authors describe a model to predict the clinical response of intermediate-risk prostate cancer to external beam radiotherapy for a variety of fractionation regimes.

  9. Percent Mammographic Density and Dense Area as Risk Factors for Breast Cancer

    OpenAIRE

    Rauh, C.; Hack, C. C.; Häberle, L.; Hein, A.; Engel, A.; Schrauder, M. G.; Fasching, P. A.; Jud, S. M.; Ekici, A.B.; Loehberg, C. R.; Meier-Meitinger, M.; Ozan, S.; Schulz-Wendtland, R.; Uder, M.; A. Hartmann

    2012-01-01

    Purpose: Mammographic characteristics are known to be correlated to breast cancer risk. Percent mammographic density (PMD), as assessed by computer-assisted methods, is an established risk factor for breast cancer. Along with this assessment the absolute dense area (DA) of the breast is reported as well. Aim of this study was to assess the predictive value of DA concerning breast cancer risk in addition to other risk factors and in addition to PMD. Methods: We conducted a case control study w...

  10. Lung cancer risk factors among women

    OpenAIRE

    Papadopoulos, Alexandra

    2012-01-01

    The incidence of female lung cancer in developed countries has been increasing since 1950 and particularly in France where the cigarettes consumption has also increased. Since 1980, a growing number of epidemiological surveys have pinpointed the risk of female lung cancer related to smoking. Consecutively, a debate on gender differences in lung cancer risk has appeared, but still in progress nowadays. The reproductive factors could explain these differences. In order to have recent and reliab...

  11. ABO blood group and risk of cancer

    DEFF Research Database (Denmark)

    Vasan, Senthil K; Hwang, Jinseub; Rostgaard, Klaus;

    2016-01-01

    INTRODUCTION: The associations between ABO blood group and cancer risk have been studied repeatedly, but results have been variable. Consistent associations have only been reported for pancreatic and gastric cancers. MATERIALS AND METHODS: We estimated associations between different ABO blood gro...... tract (mouth, salivary glands, pharynx, esophageal adenocarcinoma and stomach). DISCUSSION: Our study reconfirms the association between ABO blood group and cancer risk and exact underlying mechanisms involved needs further research....

  12. Occupational risks of sinonasal cancer in Denmark.

    OpenAIRE

    Olsen, J H

    1988-01-01

    A new comprehensive data linkage system for the detailed investigation of occupational cancer has been established in the Danish Cancer Registry, providing employment histories back to 1964. All 382 cases of cancers of the sinonasal cavities diagnosed between 1970 and 1984 and kept on file in this data linkage system were analysed using standardised proportional incidence ratios (SPIR) to screen for industrial high risk areas for these malignancies in Denmark. Excess risks were confirmed amon...

  13. Serum Retinol and Risk of Prostate Cancer

    OpenAIRE

    Mondul, Alison M.; Watters, Joanne L; Männistö, Satu; Weinstein, Stephanie J.; Snyder, Kirk; Virtamo, Jarmo; Albanes, Demetrius

    2011-01-01

    Greater exposure to retinol (vitamin A) may prevent prostate cancer, although under some conditions it could promote cell growth and de-differentiation. The authors prospectively examined prostate cancer risk and serum retinol levels, measured by using high-performance liquid chromatography, at baseline (n = 29,104) and after 3 years (n = 22,843) in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study cohort. Cox proportional hazards models were used to estimate the relative risk of to...

  14. Subclinical organ damage and cardiovascular risk prediction

    DEFF Research Database (Denmark)

    Sehestedt, Thomas; Olsen, Michael H

    2010-01-01

    ) investigated which and how many markers to measure and (iv) finally discussed whether measuring subclinical organ damage provided benefits beyond risk prediction. In conclusion, more studies and if possible randomized studies are needed to investigate (i) the importance of markers of subclinical organ damage......Traditional cardiovascular risk factors have poor prognostic value for individuals and screening for subclinical organ damage has been recommended in hypertension in recent guidelines. The aim of this review was to investigate the clinical impact of the additive prognostic information provided...... by measuring subclinical organ damage. We have (i) reviewed recent studies linking markers of subclinical organ damage in the heart, blood vessels and kidney to cardiovascular risk; (ii) discussed the evidence for improvement in cardiovascular risk prediction using markers of subclinical organ damage; (iii...

  15. Risk of Ischemic Stroke in Patients With Gastric Cancer

    OpenAIRE

    Kuan, Ai-Seon; Chen, San-Chi; Yeh, Chiu-Mei; Hung, Man-Hsin; Hung, Yi-Ping; Chen, Tzeng-Ji; Liu, Chia-Jen

    2015-01-01

    Abstract Improvements in therapeutic modalities have prolonged the survival of gastric cancer patients. Comorbidities such as thromboembolic events that emerge as a result of disease complexities and/or treatments received have not been considered. The objectives of this study are to examine the relationship between gastric cancer and ischemic stroke, and to determine predictive risk factors. A nationwide population-based cohort study was conducted using data from the Taiwan National Health I...

  16. Apolipoproteins, lipids and risk of cancer.

    Science.gov (United States)

    Borgquist, Signe; Butt, Talha; Almgren, Peter; Shiffman, Dov; Stocks, Tanja; Orho-Melander, Marju; Manjer, Jonas; Melander, Olle

    2016-06-01

    The epidemiological evidence for an obesity-cancer association is solid, whereas the association between obesity-associated lipoprotein levels and cancer is less evident. We investigated circulating levels of Apolipoprotein A1 (ApoA1), Apolipoprotein B (ApoB), LDL-cholesterol (LDL-C) and HDL-cholesterol (HDL-C) and association to risk of overall cancer and common cancer forms. The Malmö Diet and Cancer Study, a population-based prospective cohort study, enrolled 17,035 women and 11,063 men (1991-1996). Incident cancer cases were ascertained by record linkage with the Swedish Cancer Registry until end of follow-up, January 1, 2012. Baseline serum levels of ApoA1 and ApoB were analyzed for the entire cohort and HDL-C and LDL-C levels in 5,281 participants. Hazard ratios, with 95% confidence interval, were calculated using Cox's proportional hazards analysis. In the entire cohort, none of the exposures were related to overall cancer risk (HRadj ApoA1 = 0.98, 95%CI: 0.95,1.01; HRadj ApoB = 1.01, 95%CI: 0.98-1.04). Among men, ApoB was positively associated with cancer risk (HRadj ApoB = 1.06, 95%CI: 1.01,1.10). Female breast cancer risk was inversely associated with ApoB (HRadj = 0.92, 95%CI: 0.86,0.99). Among both genders, ApoA1 was inversely associated with lung cancer risk (HRadj = 0.88, 95%CI: 0.80,0.97), whereas high ApoB increased lung cancer risk (HRadj = 1.08, 95%CI: 0.99,1.18). Colorectal cancer risk was increased with high ApoB (HRadj = 1.08, 95%CI: 1.01,1.16) among both genders. Apolipoprotein levels were not associated with prostate cancer incidence. Circulating levels of apolipoproteins are associated with overall cancer risk in men and across both genders with breast, lung and colorectal cancer risk. Validation of these findings may facilitate future primary prevention strategies for cancer. PMID:26804063

  17. Lifetime grain consumption and breast cancer risk.

    Science.gov (United States)

    Farvid, Maryam S; Cho, Eunyoung; Eliassen, A Heather; Chen, Wendy Y; Willett, Walter C

    2016-09-01

    We evaluated individual grain-containing foods and whole and refined grain intake during adolescence, early adulthood, and premenopausal years in relation to breast cancer risk in the Nurses' Health Study II. Grain-containing food intakes were reported on a baseline dietary questionnaire (1991) and every 4 years thereafter. Among 90,516 premenopausal women aged 27-44 years, we prospectively identified 3235 invasive breast cancer cases during follow-up to 2013. 44,263 women reported their diet during high school, and from 1998 to 2013, 1347 breast cancer cases were identified among these women. Cox proportional hazards regression was used to estimate relative risks (RR) and 95 % confidence intervals (95 % CI) of breast cancer for individual, whole and refined grain foods. After adjusting for known breast cancer risk factors, adult intake of whole grain foods was associated with lower premenopausal breast cancer risk (highest vs. lowest quintile: RR 0.82; 95 % CI 0.70-0.97; P trend = 0.03), but not postmenopausal breast cancer. This association was no longer significant after further adjustment for fiber intake. The average of adolescent and early adulthood whole grain food intake was suggestively associated with lower premenopausal breast cancer risk (highest vs lowest quintile: RR 0.74; 95 % CI 0.56-0.99; P trend = 0.09). Total refined grain food intake was not associated with risk of breast cancer. Most individual grain-containing foods were not associated with breast cancer risk. The exceptions were adult brown rice which was associated with lower risk of overall and premenopausal breast cancer (for each 2 servings/week: RR 0.94; 95 % CI 0.89-0.99 and RR 0.91; 95 % CI 0.85-0.99, respectively) and adult white bread intake which was associated with increased overall breast cancer risk (for each 2 servings/week: RR 1.02; 95 % CI 1.01-1.04), as well as breast cancer before and after menopause. Further, pasta intake was inversely associated with

  18. Screening for Psychosocial Risk in Pediatric Cancer

    OpenAIRE

    Kazak, Anne E.; Brier, Moriah; Alderfer, Melissa A.; Reilly, Anne; Parker, Stephanie Fooks; Rogerwick, Stephanie; Ditaranto, Susan; Barakat, Lamia P.

    2012-01-01

    Major professional organizations have called for psychosocial risk screening to identify specific psychosocial needs of children with cancer and their families and facilitate the delivery of appropriate evidence-based care to address these concerns. However, systematic screening of risk factors at diagnosis is rare in pediatric oncology practice. Subsequent to a brief summary of psychosocial risks in pediatric cancer and the rationale for screening, this review identified three screening mode...

  19. Assessing the most accurate formula to predict the risk of lymph node metastases from prostate cancer in contemporary patients treated with radical prostatectomy and extended pelvic lymph node dissection

    International Nuclear Information System (INIS)

    Background and purpose: The aim of this study was to perform a head-to-head comparison of the Roach formula vs. two other newly developed prediction tools for lymph node invasion (LNI) in prostate cancer, namely the Nguyen and the Yu formulas. Material and methods: We included 3115 patients treated with radical prostatectomy and extended pelvic lymph node dissection (ePLND), between 2000 and 2010 at a single center. The predictive accuracy of the three formulas was assessed and compared using the area-under-curve (AUC) and calibration methods. Moreover, decision curve analysis compared the net-benefit of the three formulas in a head-to-head fashion. Results: Overall, 10.8% of patients had LNI. The LNI-predicted risk was >15% in 25.5%, 3.4%, and 10.2% of patients according to the Roach, Nguyen and Yu formula, respectively. The AUC was 80.5%, 80.5% and 79%, respectively (all p > 0.05). However, the Roach formula demonstrated more favorable calibration and generated the highest net-benefit relative to the other examined formulas in decision curve analysis. Conclusions: All formulas demonstrated high and comparable discrimination accuracy in predicting LNI, when externally validated on ePLND treated patients. However, the Roach formula showed the most favorable characteristics. Therefore, its use should be preferred over the two other tools

  20. Radon exposure and oropharyngeal cancer risk.

    Science.gov (United States)

    Salgado-Espinosa, Tania; Barros-Dios, Juan Miguel; Ruano-Ravina, Alberto

    2015-12-01

    Oropharyngeal cancer is a multifactorial disease. Alcohol and tobacco are the main risk factors. Radon is a human carcinogen linked to lung cancer risk, but its influence in other cancers is not well known. We aim to assess the effect of radon exposure on the risk of oral and pharyngeal cancer through a systematic review of the scientific literature. This review performs a qualitative analysis of the available studies. 13 cohort studies were included, most of them mortality studies, which analysed the relationship between occupational or residential radon exposure with oropharyngeal cancer mortality or incidence. Most of the included studies found no association between radon exposure and oral and pharyngeal cancer. This lack of effect was observed in miners studies and in general population studies. Further research is necessary to quantify if this association really exists and its magnitude, specially performing studies in general population, preferably living in areas with high radon levels.

  1. Online Risk Prediction for Indoor Moving Objects

    DEFF Research Database (Denmark)

    Ahmed, Tanvir; Pedersen, Torben Bach; Calders, Toon;

    2016-01-01

    probabilistic flow graph (APFG) that capture the historical object transitions and the durations of the transitions. In the graphs, the probabilistic information is stored in a set of histograms. Then we use the flow graphs for obtaining a risk score of an online object and use it for predicting its riskiness...... reduce the operation cost....

  2. Awareness of risk factors for cancer

    DEFF Research Database (Denmark)

    Lagerlund, Magdalena; Hvidberg, Line; Hajdarevic, Senada;

    2015-01-01

    Background: Sweden and Denmark are neighbouring countries with similarities in culture, healthcare, and economics, yet notable differences in cancer statistics. A crucial component of primary prevention is high awareness of risk factors in the general public. We aimed to determine and compare...... awareness of risk factors for cancer between a Danish and a Swedish population sample, and to examine whether there are differences in awareness across age groups. Methods: Data derive from Module 2 of the International Cancer Benchmarking Partnership. Telephone interviews were conducted with 3000 adults...... in Denmark and 3070 in Sweden using the Awareness and Beliefs about Cancer measure. Data reported here relate to awareness of 13 prompted risk factors for cancer. Prevalence ratios with 95 % confidence intervals were calculated to examine associations between country, age, and awareness of risk factors...

  3. Does Metformin Reduce Cancer Risks? Methodologic Considerations.

    Science.gov (United States)

    Golozar, Asieh; Liu, Shuiqing; Lin, Joeseph A; Peairs, Kimberly; Yeh, Hsin-Chieh

    2016-01-01

    The substantial burden of cancer and diabetes and the association between the two conditions has been a motivation for researchers to look for targeted strategies that can simultaneously affect both diseases and reduce their overlapping burden. In the absence of randomized clinical trials, researchers have taken advantage of the availability and richness of administrative databases and electronic medical records to investigate the effects of drugs on cancer risk among diabetic individuals. The majority of these studies suggest that metformin could potentially reduce cancer risk. However, the validity of this purported reduction in cancer risk is limited by several methodological flaws either in the study design or in the analysis. Whether metformin use decreases cancer risk relies heavily on the availability of valid data sources with complete information on confounders, accurate assessment of drug use, appropriate study design, and robust analytical techniques. The majority of the observational studies assessing the association between metformin and cancer risk suffer from methodological shortcomings and efforts to address these issues have been incomplete. Future investigations on the association between metformin and cancer risk should clearly address the methodological issues due to confounding by indication, prevalent user bias, and time-related biases. Although the proposed strategies do not guarantee a bias-free estimate for the association between metformin and cancer, they will reduce synthesis of and reporting of erroneous results.

  4. Predicting Risk of Violence in Mental Disorders

    Directory of Open Access Journals (Sweden)

    Miguel Talina

    2014-10-01

    Full Text Available The most recent research on psychosis and violence shows a significant positive association between both, although the risk of violence on psychosis is much lower than the risk of violence in substance abuse or personality disorders; and, in a general way, the predicting fac- tors for violence in patients are the same than in individuals without mental disorders. Psychiatrists and clinical or forensic psycholo- gists frequently have to predict violent behaviour. Since the 90s, instruments that evaluate the risk of violence have been developed, based on statistical methods to improve the efficacy of the evaluation. The best known are Psychology Checklist-Revised, Historical Risk Management-20 and Violence Risk Appraisal Guide. Several investigators consider these instruments essential for more rigorous predictions, as they are superior to clinical methods; other investigators state that the main advantage of these instruments is the fact that they sumarise the most recent advances in these areas, so that clinicians can make evidence based decisions.

  5. Familial skin cancer syndromes: Increased melanoma risk.

    Science.gov (United States)

    Ransohoff, Katherine J; Jaju, Prajakta D; Jaju, Prajaka D; Tang, Jean Y; Carbone, Michele; Leachman, Sancy; Sarin, Kavita Y

    2016-03-01

    Phenotypic traits, such as red hair and freckling, increase melanoma risk by 2- to 3-fold. In addition, approximately 10% of melanomas are caused by inherited germline mutations that increase melanoma risk from 4- to >1000-fold. This review highlights the key genes responsible for inherited melanoma, with an emphasis on when a patient should undergo genetic testing. Many genetic syndromes associated with increased melanoma risk are also associated with an increased risk of other cancers. Identification of these high-risk patients is essential for preventive behavior reinforcement, genetic counseling, and ensuring other required cancer screenings.

  6. DNA repair variants and breast cancer risk.

    Science.gov (United States)

    Grundy, Anne; Richardson, Harriet; Schuetz, Johanna M; Burstyn, Igor; Spinelli, John J; Brooks-Wilson, Angela; Aronson, Kristan J

    2016-05-01

    A functional DNA repair system has been identified as important in the prevention of tumour development. Previous studies have hypothesized that common polymorphisms in DNA repair genes could play a role in breast cancer risk and also identified the potential for interactions between these polymorphisms and established breast cancer risk factors such as physical activity. Associations with breast cancer risk for 99 single nucleotide polymorphisms (SNPs) from genes in ten DNA repair pathways were examined in a case-control study including both Europeans (644 cases, 809 controls) and East Asians (299 cases, 160 controls). Odds ratios in both additive and dominant genetic models were calculated separately for participants of European and East Asian ancestry using multivariate logistic regression. The impact of multiple comparisons was assessed by correcting for the false discovery rate within each DNA repair pathway. Interactions between several breast cancer risk factors and DNA repair SNPs were also evaluated. One SNP (rs3213282) in the gene XRCC1 was associated with an increased risk of breast cancer in the dominant model of inheritance following adjustment for the false discovery rate (P breast cancer risk or their modification by breast cancer risk factors were observed.

  7. DNA repair variants and breast cancer risk.

    Science.gov (United States)

    Grundy, Anne; Richardson, Harriet; Schuetz, Johanna M; Burstyn, Igor; Spinelli, John J; Brooks-Wilson, Angela; Aronson, Kristan J

    2016-05-01

    A functional DNA repair system has been identified as important in the prevention of tumour development. Previous studies have hypothesized that common polymorphisms in DNA repair genes could play a role in breast cancer risk and also identified the potential for interactions between these polymorphisms and established breast cancer risk factors such as physical activity. Associations with breast cancer risk for 99 single nucleotide polymorphisms (SNPs) from genes in ten DNA repair pathways were examined in a case-control study including both Europeans (644 cases, 809 controls) and East Asians (299 cases, 160 controls). Odds ratios in both additive and dominant genetic models were calculated separately for participants of European and East Asian ancestry using multivariate logistic regression. The impact of multiple comparisons was assessed by correcting for the false discovery rate within each DNA repair pathway. Interactions between several breast cancer risk factors and DNA repair SNPs were also evaluated. One SNP (rs3213282) in the gene XRCC1 was associated with an increased risk of breast cancer in the dominant model of inheritance following adjustment for the false discovery rate (P breast cancer risk or their modification by breast cancer risk factors were observed. Environ. Mol. Mutagen. 57:269-281, 2016. © 2016 Wiley Periodicals, Inc. PMID:27060854

  8. A Model to Predict the Risk of Keratinocyte Carcinomas.

    Science.gov (United States)

    Whiteman, David C; Thompson, Bridie S; Thrift, Aaron P; Hughes, Maria-Celia; Muranushi, Chiho; Neale, Rachel E; Green, Adele C; Olsen, Catherine M

    2016-06-01

    Basal cell and squamous cell carcinomas of the skin are the commonest cancers in humans, yet no validated tools exist to estimate future risks of developing keratinocyte carcinomas. To develop a prediction tool, we used baseline data from a prospective cohort study (n = 38,726) in Queensland, Australia, and used data linkage to capture all surgically excised keratinocyte carcinomas arising within the cohort. Predictive factors were identified through stepwise logistic regression models. In secondary analyses, we derived separate models within strata of prior skin cancer history, age, and sex. The primary model included terms for 10 items. Factors with the strongest effects were >20 prior skin cancers excised (odds ratio 8.57, 95% confidence interval [95% CI] 6.73-10.91), >50 skin lesions destroyed (odds ratio 3.37, 95% CI 2.85-3.99), age ≥ 70 years (odds ratio 3.47, 95% CI 2.53-4.77), and fair skin color (odds ratio 1.75, 95% CI 1.42-2.15). Discrimination in the validation dataset was high (area under the receiver operator characteristic curve 0.80, 95% CI 0.79-0.81) and the model appeared well calibrated. Among those reporting no prior history of skin cancer, a similar model with 10 factors predicted keratinocyte carcinoma events with reasonable discrimination (area under the receiver operator characteristic curve 0.72, 95% CI 0.70-0.75). Algorithms using self-reported patient data have high accuracy for predicting risks of keratinocyte carcinomas.

  9. Cigarette smoking and risk of ovarian cancer

    DEFF Research Database (Denmark)

    Faber, Mette T; Kjær, Susanne K; Dehlendorff, Christian;

    2013-01-01

    The majority of previous studies have observed an increased risk of mucinous ovarian tumors associated with cigarette smoking, but the association with other histological types is unclear. In a large pooled analysis, we examined the risk of epithelial ovarian cancer associated with multiple...... measures of cigarette smoking with a focus on characterizing risks according to tumor behavior and histology....

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

    DEFF Research Database (Denmark)

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

    2007-01-01

    Promising results for prediction of outcome in breast cancer have been obtained by genome wide gene expression profiling. Some studies have suggested that an extensive overtreatment of breast cancer patients might be reduced by risk assessment with gene expression profiling. A patient group hardly...... examined in these studies is the low-risk patients for whom outcome is very difficult to predict with currently used methods. These patients do not receive adjuvant treatment according to the guidelines of the Danish Breast Cancer Cooperative Group (DBCG). In this study, 26 tumors from low-risk patients...

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

    Science.gov (United States)

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

    2010-12-01

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

  12. Healthy Living Slashes Cancer Risk

    Science.gov (United States)

    ... 2016 THURSDAY, June 23, 2016 (HealthDay News) -- A healthy lifestyle that includes regular exercise and eating nutritiously can ... cancer cases, researchers said. To see whether a healthy lifestyle would result in fewer cancer cases and deaths, ...

  13. Use of disulfiram and risk of cancer

    DEFF Research Database (Denmark)

    Askgaard, G.; Friis, S.; Hallas, J.;

    2014-01-01

    disulfiram prescription using risk set sampling. Similarly, for secondary analyses, we selected case-control populations for selected tobacco-related and alcohol-related cancer types, that is, cancers of the buccal cavity, liver, lung, and colorectal cancer. Disulfiram use 1 year before cancer diagnosis......Experimental studies have indicated that disulfiram (Antabuse) has antineoplastic effects against melanoma, breast, and prostate cancer. To explore this hypothesis, we examined the association between disulfiram use and these cancers in a nationwide register-based case-control study nested within...... ever-users (>= one prescription) of disulfiram. Cases were all Danish individuals with a histologically verified first-time diagnosis of malignant melanoma, breast, or prostate cancer during 2000-2009. For each case, we selected four cancer-free controls matched for age, sex, and year of first...

  14. Vitamin D, Sunlight and Prostate Cancer Risk

    Directory of Open Access Journals (Sweden)

    Krishna Vanaja Donkena

    2011-01-01

    Full Text Available Prostate cancer is the second common cancer in men worldwide. The prevention of prostate cancer remains a challenge to researchers and clinicians. Here, we review the relationship of vitamin D and sunlight to prostate cancer risk. Ultraviolet radiation of the sunlight is the main stimulator for vitamin D production in humans. Vitamin D's antiprostate cancer activities may be involved in the actions through the pathways mediated by vitamin D metabolites, vitamin D metabolizing enzymes, vitamin D receptor (VDR, and VDR-regulated genes. Although laboratory studies including the use of animal models have shown that vitamin D has antiprostate cancer properties, whether it can effectively prevent the development and/or progression of prostate cancer in humans remains to be inconclusive and an intensively studied subject. This review will provide up-to-date information regarding the recent outcomes of laboratory and epidemiology studies on the effects of vitamin D on prostate cancer prevention.

  15. Breast cancer epidemiology and risk factors

    Energy Technology Data Exchange (ETDEWEB)

    Broeders, M. J. M.; Verbeek, A. L. M. [Nijmegen, Univ. (Netherlands). Dept. of Epidemiology

    1997-09-01

    Breast cancer is the most common malignancy among women in the Western society. Over the past decades it has become apparent that breast cancer incidence rates are increasing steadily, whereas the mortality rates for breast cancer have remained relatively constant. Information through the media on this rising number of cases has increased breast health awareness but has also introduced anxiety in the female population. This combination of factors has made the need for prevention of breast cancer an urgent matter. Breast cancer does not seem to be a single disease entity. A specific etiologic factor may therefore have more influence on one form may therefore have more influence on one form of breast cancer than another. So far though, as shown in their summary of current knowledge on established and dubious risk factors, no risk factors have been identified that can explain a major part of the incidence. Efforts to identify other ways for primary prevention have also been discouraging, even though breast cancer is one of the most investigated tumours world-wide. Thus, at this point i time, the most important strategy to reduce breast cancer mortality is early detection through individual counselling and organised breast screening programs. The recent isolation of breast cancer susceptibility genes may introduce new ways to reduce the risk of breast cancer in a small subset of women.

  16. Breast cancer epidemiology and risk factors

    International Nuclear Information System (INIS)

    Breast cancer is the most common malignancy among women in the Western society. Over the past decades it has become apparent that breast cancer incidence rates are increasing steadily, whereas the mortality rates for breast cancer have remained relatively constant. Information through the media on this rising number of cases has increased breast health awareness but has also introduced anxiety in the female population. This combination of factors has made the need for prevention of breast cancer an urgent matter. Breast cancer does not seem to be a single disease entity. A specific etiologic factor may therefore have more influence on one form may therefore have more influence on one form of breast cancer than another. So far though, as shown in their summary of current knowledge on established and dubious risk factors, no risk factors have been identified that can explain a major part of the incidence. Efforts to identify other ways for primary prevention have also been discouraging, even though breast cancer is one of the most investigated tumours world-wide. Thus, at this point i time, the most important strategy to reduce breast cancer mortality is early detection through individual counselling and organised breast screening programs. The recent isolation of breast cancer susceptibility genes may introduce new ways to reduce the risk of breast cancer in a small subset of women

  17. Increased stomach cancer risk following radiotherapy for testicular cancer

    DEFF Research Database (Denmark)

    Hauptmann, M; Fossa, S D; Stovall, M;

    2015-01-01

    BACKGROUND: Abdominal radiotherapy for testicular cancer (TC) increases risk for second stomach cancer, although data on the radiation dose-response relationship are sparse. METHODS: In a cohort of 22,269 5-year TC survivors diagnosed during 1959-1987, doses to stomach subsites were estimated...... for 92 patients who developed stomach cancer and 180 matched controls. Chemotherapy details were recorded. Odds ratios (ORs) were estimated using logistic regression. RESULTS: Cumulative incidence of second primary stomach cancer was 1.45% at 30 years after TC diagnosis. The TC survivors who received...... radiotherapy (87 (95%) cases, 151 (84%) controls) had a 5.9-fold (95% confidence interval (CI) 1.7-20.7) increased risk of stomach cancer. Risk increased with increasing stomach dose (P-trend

  18. Two Genes Might Help Predict Breast Cancer Survival

    Science.gov (United States)

    ... https://medlineplus.gov/news/fullstory_160503.html Two Genes Might Help Predict Breast Cancer Survival Research suggests ... 18, 2016 (HealthDay News) -- The activity of two genes may help predict certain breast cancer patients' chances ...

  19. Genetic testing and your cancer risk

    Science.gov (United States)

    ... this page: //medlineplus.gov/ency/patientinstructions/000842.htm Genetic testing and your cancer risk To use the sharing ... with one or more of the above About Genetic Testing You may first have a an assessment to ...

  20. Cancer risks related to electricity production.

    Science.gov (United States)

    Boffetta, P; Cardis, E; Vainio, H; Coleman, M P; Kogevinas, M; Nordberg, G; Parkin, D M; Partensky, C; Shuker, D; Tomatis, L

    1991-01-01

    The International Agency for Research on Cancer has previously evaluated the cancer risks associated with fossil fuel-based industrial processes such as coal gastification and coke production, substances and mixtures such as coal tars, coal tar pitch and mineral oils, and a number of substances emitted from fossil-fuelled plants such as benzo[a]pyrene and other polycyclic aromatic hydrocarbons, arsenic, beryllium, cadmium, chromium, nickel, lead and formaldehyde. Based on these evaluations and other evidence from the literature, the carcinogenic risks to the general population and occupational groups from the fossil fuel cycle, the nuclear fuel cycle and renewable cycles are reviewed. Cancer risks from waste disposal, accidents and misuses, and electricity distribution are also considered. No cycle appears to be totally free from cancer risk, but the quantification of the effects of such exposures (in particular of those involving potential exposure to large amounts of carcinogens, such as coal, oil and nuclear) requires the application of methods which are subject to considerable margins of error. Uncertainties due to inadequate data and unconfirmed assumptions are discussed. Cancer risks related to the operation of renewable energy sources are negligible, although there may be some risks from construction of such installations. The elements of knowledge at our disposal do not encourage any attempt toward a quantitative comparative risk assessment. However, even in the absence of an accurate quantification of risk, qualitative indication of carcinogenic hazards should lead to preventive measures.

  1. Predicting the Risk of Venous Thromboembolism Recurrence

    OpenAIRE

    Heit, John A.

    2012-01-01

    Venous thromboembolism (VTE) is a chronic disease with a 30% ten-year recurrence rate. The highest incidence of recurrence is in the first 6 months. Active cancer significantly increases the hazard of early recurrence, and the proportions of time on standard heparin (APTT≥0.2 anti-Xa U/mL) and warfarin (INR≥2.0) treatment, significantly reduce the hazard. The acute treatment duration does not affect recurrence risk after treatment is stopped. Independent predictors of late recurrence include ...

  2. Predictive Modeling: A New Paradigm for Managing Endometrial Cancer.

    Science.gov (United States)

    Bendifallah, Sofiane; Daraï, Emile; Ballester, Marcos

    2016-03-01

    With the abundance of new options in diagnostic and treatment modalities, a shift in the medical decision process for endometrial cancer (EC) has been observed. The emergence of individualized medicine and the increasing complexity of available medical data has lead to the development of several prediction models. In EC, those clinical models (algorithms, nomograms, and risk scoring systems) have been reported, especially for stratifying and subgrouping patients, with various unanswered questions regarding such things as the optimal surgical staging for lymph node metastasis as well as the assessment of recurrence and survival outcomes. In this review, we highlight existing prognostic and predictive models in EC, with a specific focus on their clinical applicability. We also discuss the methodologic aspects of the development of such predictive models and the steps that are required to integrate these tools into clinical decision making. In the future, the emerging field of molecular or biochemical markers research may substantially improve predictive and treatment approaches. PMID:26577116

  3. Evaluating prostate cancer mortality and competing risks of death in patients with localized prostate cancer using a comprehensive nomogram

    OpenAIRE

    Kutikov, A.; Cooperberg, MR; Paciorek, AT; Uzzo, RG; Carroll, PR; Boorjian, SA

    2012-01-01

    BACKGROUND: The aim of this study was to determine the optimal treatment for a patient with newly diagnosed prostate cancer weighing the individual's risk of disease progression against his risk of non-cancer death.METHODS: We developed a predictive model incorporating clinicopathological tumor variables, patient age, comorbidity status, and primary treatment modality. We identified 6091 patients with clinically-localized prostate cancer managed with radical prostatectomy (n4117) or radiation...

  4. Whole Grain Intake Reduces Pancreatic Cancer Risk

    OpenAIRE

    Lei, Qiucheng; Zheng, Huazhen; Bi, Jingcheng; Wang, Xinying; Jiang, Tingting; Gao, Xuejin; Tian, Feng; Xu, Min; Wu, Chao; Zhang, Li; Ning LI; Li, Jieshou

    2016-01-01

    Abstract Mounting evidence from epidemiology studies suggests that whole grain intake may reduce pancreatic cancer risk, but convincing evidence is scarce. We conducted a meta-analysis to assess the association between whole grain intake and pancreatic cancer risk. Relevant observational studies were identified by searching PubMed, Embase, Scopus, and Cochrane library databases for the period from January 1980 to July 2015, with no restrictions. We calculated the summary odds ratios (ORs) for...

  5. Urinary phytoestrogens and postmenopausal breast cancer risk

    NARCIS (Netherlands)

    Tonkelaar, den I.; Keinan-Boker, L.; Veer, van't P.; Arts, C.J.M.; Adlercreutz, H.; Thijssen, J.H.H.; Peeters, H.M.

    2001-01-01

    Phytoestrogens are defined as plant substances that are structurally or functionally similar to estradiol. We report the associations of two major phytoestrogens, genistein and enterolactone, with breast cancer risk, using urinary specimens collected 1-9 years before breast cancer was diagnosed. The

  6. Risk for oral cancer from smokeless tobacco.

    Science.gov (United States)

    Janbaz, Khalid Hussain; Qadir, M Imran; Basser, Hibba Tul; Bokhari, Tanveer Hussain; Ahmad, Bashir

    2014-01-01

    Tobacco products which are used in a way other than smoking are known as smokeless tobacco. The most common smokeless tobaccos are chewing tobacco, naswar, snuff, snus, gutka, and topical tobacco paste. Any product which contains tobacco is not safe for human health. There are more than twenty-five compounds in smokeless tobacco which have cancer causing activity. Use of smokeless tobacco has been linked with risk of oral cancer. Smokeless tobacco contains tobacco-specific nitrosamines (TSNAs), polonium, formaldehyde, cadmium, lead, and benzo[a]pyrene, which are carcinogenic agents. Although there is presence of some compounds, carotenoids and phenolic compounds, that have cancer inhibiting properties, they are in low concentrations. Dry snuff use is linked with higher relative risks, while the use of other smokeless tobacco is of intermediate risk. Moist snuff and chewing tobacco have a very low risk for oral cancer. Therefore, from this review article, it was concluded that smokeless tobacco has risk for oral cancer - either low, medium or high depending on the balance between cancer causing agents and cancer inhibiting agents.

  7. Carcinogenic risk after radioiodine ablation for early papillary thyroid cancer

    International Nuclear Information System (INIS)

    Full text: Long-term survival curves after thyroidectomy and radioiodine ablation (RIA B) for the treatment of early papillary thyroid cancer (EPTC) are comparable to those for healthy population. However, potential harms of RAIB are still in question considering carcinogenesis as most significant late stochastic effect of radiation. Uncertainties exist with regard to the organ radio-sensitivity, age, sex, race, civilization differences, dose-rate, radiation quality etc. We accepted ICRP simplified pessimistic model to predict radiogenic cancer probability (RCP) after RIAB. 183 patients of cancer thyroid treated with iodine-131 to destroy remnant thyroid after nearly total thyroidectomy have been evaluated. The doses in nine organ and tissue at risk have been estimated by the dosimetric model of T. Smith and E. Edmonds for patients treated once with average activity of 3.1 GBq and twice with an average dose of 6.2 GBq. Incidence of major RCP following RIAB is 1.7-3.4 % for fatal stomach cancer, 0.5-0.9 % for fatal bladder cancer and 0.1-0.2 % for malignancies of salivary glands. RCP significantly goes down for secondary breast and ovarian cancer (0.05-0.03%). The number of predicted fatal and non-fatal cancer in the whole treated group of 183 patients is 6.6 cases with prediction of 4 gastric and 1 bladder cancer but none was observed during the follow-up period of 7 to 28 years. The overall risk for all other organs is below one case (0.8). One patient developed multiple myeloma and two salivary glands tumours observed 9-13 years after RIAB. Five synchronous and metachronous secondary breast cancer were also registered, but they could be non-radiogenic (collective RCP = 0.08 cases). Giving maximum radical treatment, we achieved 98% 20-years survival for patients of EPTC. Such a prognosis appears exaggerated, may be due to the use of very pessimistic ICRP model. We also evaluated the magnitude of the predicted lethality from radiogenic cancer and compared it with

  8. BREAST CANCER: IS OBESITY A RISK FACTOR?

    Directory of Open Access Journals (Sweden)

    Anjali

    2015-11-01

    Full Text Available Most epidemiological studies established obesity as an important risk factor for breast cancer. It is one of the few risk factors that women can modify. Now-a-days breast cancer is considered to be a life-style disease. The relation of obesity to breast cancer is complex one. Obesity is found to be associated with increased risk of cancer in post-menopausal women, but relation is reverse in pre-menopausal women. In these patients, obesity increases risk due to enhanced oestrogenic activity in obese females. Apart from it, other factors like Insulin-like Growth Factor (IGF-1, Leptin has also been involved. Due to big breasts in obese females there is delay in seeking medical attention, delay in diagnosis, poor response to surgery, chemotherapy, radiotherapy and associated complication during treatment. We study the effect of obesity (Weight, BMI, WHR as a risk factor in occurrence of breast cancer in local population of Southern part of Rajasthan in India. We found no significant association between obesity and increased risk of breast cancer in local population of this region where women are multiparous, physically active and usually do not use exogenous hormones.

  9. The prediction of the bankruptcy risk

    Directory of Open Access Journals (Sweden)

    Gheorghe DUMITRESCU

    2010-04-01

    Full Text Available The study research results of the bankruptcy risk in the actual economic crisis are very weak. This issue is very important for the economy of every country, no matter what their actual development level.The necessity of bankruptcy risk prediction appears in every company,but also in the related institutions like financial companies, investors, suppliers, customers.The bankruptcy risk made and makes the object of many studies of research that want to identify: the moment of the appearance of the bankruptcy, the factors that compete at the reach of this state, the indicators that express the best this orientation (to the bankruptcy.The threats to the firms impose the knowledge by the managers,permanently of the economic-financial situations, of the vulnerable areas and of those with potential of development. Thus, these must identify and gesture the threats that would stop the fulfillment of the established purposes.

  10. Risk factors of thyroid cancer in Babol, Northern Iran

    OpenAIRE

    Moazezi, Zoleika; Mahmoudi, Mahmoud; Yahyahpour, Yousef; Alaleh, AliReza

    2011-01-01

    Background : Thyroid cancer is the most common endocrine malignancy. Several risk factors were found to play a role in thyroid cancer. The purpose of the study was to determine the risk factors for thyroid cancer, in Babol, north of Iran.

  11. Knowing Their Breast Cancer Risk May Empower Teens

    Science.gov (United States)

    ... medlineplus.gov/news/fullstory_161233.html Knowing Their Breast Cancer Risk May Empower Teens Greater self-esteem noted in ... interviewed to assess their mental health, perception of breast cancer risk, and levels of distress about breast cancer. The ...

  12. Risk of cancer formation by radiotherapy

    International Nuclear Information System (INIS)

    Described are the difference between exposures to radiation for medical purpose and to environmental radiation at low dose, estimation of carcinogenic risk by medical radiation, and notice for referring the risk at clinical practice. ICRP employs linear non-threshold (LNT) model for risk of cancer formation even at <200 mSv for safety, with a recognition that it is scientifically obscure. The model essentially stands on data of A-bomb survivors (the Gold Standard), where the relationship between 5-10% excess relative risk (ERR) of cancer formation and dose 0.05-2.5 Sv is linear. Analyses of the secondary carcinogenesis after radiotherapy have begun to be reported since around 2005: e.g., the secondary thyroid cancer risk in pediatric patients treated with radiotherapy has a peak at 20 Gy, suggesting the actual risk depends both on the linearity of carcinogenic increase and on the exponential probability of cell death increase. On this concept, the risk of cancer formation is not always linear to dose. At the practical radiotherapy, its secondary carcinogenic risk should be estimated not only on the dose but also on other factors such as the individual organ, patient's age and attainable age/time after the treatment. In treated teen-ager patients, ERRs of mortality/Gy are 2.28 for cancers of the skin of non-malignant melanoma, 1.32 of bladder and 1.21 of thyroid and in patients of fifties, 1.15 of bladder and lung. The EER tends to become lower as the treated age is older. Pediatric cancer patients to be treated with radiotherapy should be informed about the secondary cancer that the low dose risk given by ICRP is not always appropriate, a certain cancer risk has a peak dose, and ERR of cancer mortality is not a cancer risk of an organ. Many factors like anticancers and immuno-modifiers, modify the outcome of radiotherapy and should be carefully speculated for evaluating the outcome. (T.T.)

  13. Nutrients and Risk of Colon Cancer

    Energy Technology Data Exchange (ETDEWEB)

    Hu, Jinfu, E-mail: Jinfu.hu@phac-aspc.gc.ca [Evidence and Risk Assessment Division, Centre for Chronic Disease Prevention and Control, Public Health Agency of Canada, 785 Carling Avenue, AL: 6807B, Ottawa, Ontario K1A 0K9 (Canada); La Vecchia, Carlo [Istituto di Ricerche Farmacologiche “Mario Negri,” Via La Masa, 19-20156 Milan (Italy); Istituto di Statistica Medica e Biometria, Università degli Studi di Milano, Via Venezian, 1, 20133 Milan (Italy); Negri, Eva [Istituto di Ricerche Farmacologiche “Mario Negri,” Via La Masa, 19-20156 Milan (Italy); Mery, Les [Evidence and Risk Assessment Division, Centre for Chronic Disease Prevention and Control, Public Health Agency of Canada, 785 Carling Avenue, AL: 6807B, Ottawa, Ontario K1A 0K9 (Canada)

    2010-02-10

    Dietary fats are thought to be important in the etiology of colon cancer. However, the evidence linking them is inconclusive. Studies on dietary protein, cholesterol and carbohydrate and the risk of colon cancer are also inconsistent. This study examined the association between dietary intake of protein, fats, cholesterol and carbohydrates, and the risk of colon cancer. Mailed questionnaires were completed by 1731 individuals with histologically confirmed cases of colon cancer and 3097 population controls between 1994 and 1997 in seven Canadian provinces. Measurements included socio-economic status, lifestyle habits and diet. A 69-item food frequency questionnaire was used to provide data on eating habits from two years before the study. Odds ratios (OR) and 95% confidence intervals (CI) were computed using unconditional logistic regression. The nutrients were categorized by quartiles based on the distributions among the controls. Intake of polyunsaturated fat, trans-fat and cholesterol were significantly associated with the risk of colon cancer; the ORs for the highest quartiles were 1.36 (95% CI, 1.02–1.80), 1.37 (95% CI, 1.10–1.71) and 1.42 (95% CI, 1.10–1.84), respectively. The association was stronger with proximal colon cancer (PCC). An increased risk was also observed with increasing intake of sucrose for both proximal and distal colon cancers; the ORs for the highest quartiles were 1.67 (95% CI, 1.22–2.29) for PCC and 1.58 (95% CI, 1.18–2.10) for distal colon cancer (DCC). An elevated risk of PCC was also found with increased lactose intake. Our findings provide evidence that a diet low in fat and sucrose could reduce the risk of various colon cancers.

  14. Tubal ligation and risk of breast cancer

    OpenAIRE

    Brinton, L. A.; Gammon, M. D.; Coates, R J; Hoover, R. N.

    2000-01-01

    Although it has been demonstrated in previous studies that tubal ligation can have widespread effects on ovarian function, including a decrease in the risk of subsequent ovarian cancer, few studies have evaluated effects on breast cancer risk. In a population-based case–control study of breast cancer among women 20–54 years of age conducted in three geographic areas, previous tubal ligations were reported by 25.3% of the 2173 cases and 25.8% of the 1990 controls. Initially it appeared that tu...

  15. International multicenter tool to predict the risk of four or more tumor-positive axillary lymph nodes in breast cancer patients with sentinel node macrometastases

    DEFF Research Database (Denmark)

    Meretoja, Tuomo J; Audisio, R A; Heikkilä, P S;

    2013-01-01

    Recently, many centers have omitted routine axillary lymph node dissection (ALND) after metastatic sentinel node biopsy in breast cancer due to a growing body of literature. However, existing guidelines of adjuvant treatment planning are strongly based on axillary nodal stage. In this study, we a...

  16. Diabetes and Thyroid Cancer Risk: Literature Review

    Directory of Open Access Journals (Sweden)

    Shyang-Rong Shih

    2012-01-01

    Full Text Available Diabetic patients have a higher risk of various types of cancer. However, whether diabetes may increase the risk of thyroid cancer has not been extensively studied. This paper reviews and summarizes the current literature studying the relationship between diabetes mellitus and thyroid cancer, and the possible mechanisms linking such an association. Epidemiologic studies showed significant or nonsignificant increases in thyroid cancer risk in diabetic women and nonsignificant increase or no change in thyroid cancer risk in diabetic men. A recent pooled analysis, including 5 prospective studies from the USA, showed that the summary hazard ratio (95% confidence interval for women was 1.19 (0.84–1.69 and was 0.96 (0.65–1.42 for men. Therefore, the results are controversial and the association between diabetes and thyroid cancer is probably weak. Further studies are necessary to confirm their relationship. Proposed mechanisms for such a possible link between diabetes and thyroid cancer include elevated levels of thyroid-stimulating hormone, insulin, glucose and triglycerides, insulin resistance, obesity, vitamin D deficiency, and antidiabetic medications such as insulin or sulfonylureas.

  17. Risks of Lung Cancer Screening

    Science.gov (United States)

    ... and former heavy smokers. Current smokers whose LDCT scan results show possible signs of cancer may be more likely to quit smoking. A Guide is available for patients and doctors to learn more about the benefits and harms of low-dose helical CT screening for lung cancer. Screening with chest x- ...

  18. HUMAN PROSTATE CANCER RISK FACTORS

    Science.gov (United States)

    Prostate cancer has the highest prevalence of any non-skin cancer in the human body, with similar likelihood of neoplastic foci found within the prostates of men around the world regardless of diet, occupation, lifestyle, or other factors. Essentially all men with circulating an...

  19. Nutrition-Related Cancer Prevention Cognitions and Behavioral Intentions: Testing the Risk Perception Attitude Framework

    Science.gov (United States)

    Sullivan, Helen W.; Beckjord, Ellen Burke; Finney Rutten, Lila J.; Hesse, Bradford W.

    2008-01-01

    This study tested whether the risk perception attitude framework predicted nutrition-related cancer prevention cognitions and behavioral intentions. Data from the 2003 Health Information National Trends Survey were analyzed to assess respondents' reported likelihood of developing cancer (risk) and perceptions of whether they could lower their…

  20. Toxicogenetic profile and cancer risk in Lebanese.

    Science.gov (United States)

    Dhaini, Hassan R; Kobeissi, Loulou

    2014-01-01

    An increasing number of genetic polymorphisms in drug-metabolizing enzymes (DME) were identified among different ethnic groups. Some of these polymorphisms are associated with an increased cancer risk, while others remain equivocal. However, there is sufficient evidence that these associations become significant in populations overexposed to environmental carcinogens. Hence, genetic differences in expression activity of both Phase I and Phase II enzymes may affect cancer risk in exposed populations. In Lebanon, there has been a marked rise in reported cancer incidence since the 1990s. There are also indicators of exposure to unusually high levels of environmental pollutants and carcinogens in the country. This review considers this high cancer incidence by exploring a potential gene-environment model based on available DME polymorphism prevalence, and their impact on bladder, colorectal, prostate, breast, and lung cancer in the Lebanese population. The examined DME include glutathione S-transferases (GST), N-acetyltransferases (NAT), and cytochromes P-450 (CYP). Data suggest that these DME influence bladder cancer risk in the Lebanese population. Evidence indicates that identification of a gene-environment interaction model may help in defining future research priorities and preventive cancer control strategies in this country, particularly for breast and lung cancer.

  1. A novel and automatic mammographic texture resemblance marker is an independent risk factor for breast cancer

    DEFF Research Database (Denmark)

    Nielsen, Mads; Karemore, Gopal Raghunath; Loog, Marco;

    2011-01-01

    Objective: We investigated whether breast cancer is predicted by a breast cancer risk mammographic texture resemblance (MTR) marker. Methods: A previously published case-control study included 495 women of which 245 were diagnosed with breast cancer. In baseline mammograms, 2-4 years prior...... to diagnosis, the following mammographic parameters were analysed for relation to breast cancer risk: (C) categorical parenchymal pattern scores; (R) radiologist's percentage density, (P) computer-based percentage density; (H) computer-based breast cancer risk MTR marker; (E) computer-based hormone replacement...

  2. Postoperative Nomogram for Predicting Cancer-Specific Mortality in Medullary Thyroid Cancer

    Science.gov (United States)

    Ho, Allen S.; Wang, Lu; Palmer, Frank L.; Yu, Changhong; Toset, Arnbjorn; Patel, Snehal; Kattan, Michael W.; Tuttle, R. Michael; Ganly, Ian

    2016-01-01

    Background Medullary thyroid cancer (MTC) is a rare thyroid cancer accounting for 5 % of all thyroid malignancies. The purpose of our study was to design a predictive nomogram for cancer-specific mortality (CSM) utilizing clinical, pathological, and biochemical variables in patients with MTC. Methods MTC patients managed entirely at Memorial Sloan-Kettering Cancer Center between 1986 and 2010 were identified. Patient, tumor, and treatment characteristics were recorded, and variables predictive of CSM were identified by univariable analyses. A multivariable competing risk model was then built to predict the 10-year cancer specific mortality of MTC. All predictors of interest were added in the starting full model before selection, including age, gender, pre- and postoperative serum calcitonin, pre- and postoperative CEA, RET mutation status, perivascular invasion, margin status, pathologic T status, pathologic N status, and M status. Stepdown method was used in model selection to choose predictive variables. Results Of 249 MTC patients, 22.5 % (56/249) died from MTC, whereas 6.4 % (16/249) died secondary to other causes. Mean follow-up period was 87 ± 67 months. The seven variables with the highest predictive accuracy for cancer specific mortality included age, gender, postoperative calcitonin, perivascular invasion, pathologic T status, pathologic N status, and M status. These variables were used to create the final nomogram. Discrimination from the final nomogram was measured at 0.77 with appropriate calibration. Conclusions We describe the first nomogram that estimates cause-specific mortality in individual patients with MTC. This predictive nomogram will facilitate patient counseling in terms of prognosis and subsequent clinical follow up. PMID:25366585

  3. Vital exhaustion and risk for cancer

    DEFF Research Database (Denmark)

    Bergelt, Corinna; Christensen, Jane Hvarregaard; Prescott, Eva;

    2005-01-01

    Vital exhaustion, defined as feelings of depression and fatigue, has previously been investigated mainly as a risk factor for cardiovascular disease. The authors investigated the association between depressive feelings and fatigue as covered by the concept of vital exhaustion and the risk for...... cancer....

  4. Tuberculosis, smoking and risk for lung cancer incidence and mortality.

    Science.gov (United States)

    Hong, Seri; Mok, Yejin; Jeon, Christina; Jee, Sun Ha; Samet, Jonathan M

    2016-12-01

    Among the exposures associated with risk for lung cancer, a history of tuberculosis (TB) is one potentially important factor, given the high prevalence of TB worldwide. A prospective cohort study was conducted to evaluate the associations of preexisting pulmonary TB with lung cancer incidence and mortality. The cohort consisted of 1,607,710 Korean adults covered by the National Health Insurance System who had a biennial national medical examination during 1997-2000. During up to 16 years of follow-up, there were 12,819 incident cases of lung cancer and 9,562 lung cancer deaths. Using Cox proportional hazards models and controlling for age, cigarette smoking and other covariates, the presence of underlying TB was significantly associated with increased risk for lung cancer incidence (HR 1.37 in men with 95% CI 1.29-1.45; HR 1.49 in women with 95% CI 1.28-1.74) and mortality (HR 1.43 in men with 95% CI 1.34-1.52; HR 1.53 in women with 95% CI 1.28-1.83). We also observed a dose-response relationship between number of cigarettes smoked daily and lung cancer risk. There was no evidence for synergism between a history of TB and smoking. The elevation in risk is relatively modest, particularly in comparison to that from smoking, and a prior history of TB is not likely to be useful risk indicator for clinical purposes. In populations with high prevalence of TB, it can be considered for incorporation into models for lung cancer risk prediction. PMID:27521774

  5. What Are the Risk Factors for Ovarian Cancer?

    Science.gov (United States)

    ... cancer? What are the risk factors for ovarian cancer? A risk factor is anything that changes your chance of getting ... is a risk factor for a number of cancers. But risk factors don't tell us everything. Having a risk ...

  6. Life history theory and breast cancer risk: methodological and theoretical challenges: Response to "Is estrogen receptor negative breast cancer risk associated with a fast life history strategy?".

    Science.gov (United States)

    Aktipis, Athena

    2016-01-01

    In a meta-analysis published by myself and co-authors, we report differences in the life history risk factors for estrogen receptor negative (ER-) and estrogen receptor positive (ER+) breast cancers. Our meta-analysis did not find the association of ER- breast cancer risk with fast life history characteristics that Hidaka and Boddy suggest in their response to our article. There are a number of possible explanations for the differences between their conclusions and the conclusions we drew from our meta-analysis, including limitations of our meta-analysis and methodological challenges in measuring and categorizing estrogen receptor status. These challenges, along with the association of ER+ breast cancer with slow life history characteristics, may make it challenging to find a clear signal of ER- breast cancer with fast life history characteristics, even if that relationship does exist. The contradictory results regarding breast cancer risk and life history characteristics illustrate a more general challenge in evolutionary medicine: often different sub-theories in evolutionary biology make contradictory predictions about disease risk. In this case, life history models predict that breast cancer risk should increase with faster life history characteristics, while the evolutionary mismatch hypothesis predicts that breast cancer risk should increase with delayed reproduction. Whether life history tradeoffs contribute to ER- breast cancer is still an open question, but current models and several lines of evidence suggest that it is a possibility.

  7. Insulin resistance and breast-cancer risk.

    Science.gov (United States)

    Bruning, P F; Bonfrèr, J M; van Noord, P A; Hart, A A; de Jong-Bakker, M; Nooijen, W J

    1992-10-21

    Life-style has a major influence on the incidence of breast cancer. To evaluate the effects of life-style related metabolic-endocrine factors on breast cancer risk we conducted a case-control study comparing 223 women aged 38 to 75 years presenting with operable (stage I or II) breast cancer and 441 women of the same age having no breast cancer, who participated in a population-based breast cancer screening program. Women reporting diabetes mellitus were excluded. Sera from 110 women of the same age group presenting with early stage melanoma, lymphoma or cervical cancer were used as a second 'other-cancer control group'. Serum levels of C-peptide were significantly higher in early breast cancer cases compared to controls. The same was found for the ratios C-peptide to glucose or C-peptide to fructosamine, indicating insulin resistance. Sex hormone binding globulin was inversely, triglycerides and available estradiol were positively related to C-peptide. Serum C-peptide levels were related to body mass index (BMI), and to waist/hip ratio (WHR), in particular in controls. However, the relative increase of C-peptide, C-peptide to glucose or C-peptide to fructosamine in cases was independent of BMI or WHR. The log relative risk was linearly related to the log C-peptide levels. Relative risk according to quintiles, and adjusted for age, family history, BMI and WHR, for women at the 80% level was 2.9 as compared with those at the 20% level for C-peptide. Elevated C-peptide or C-peptide to fructosamine values were not observed in the sera from women belonging to the 'other-cancer control group'. This study suggests that hyperinsulinemia with insulin resistance is a significant risk factor for breast cancer independent of general adiposity or body fat distribution. PMID:1399128

  8. Risk factors for male breast cancer.

    OpenAIRE

    D'Avanzo, B.; La Vecchia, C

    1995-01-01

    Risk factors for male breast cancer were investigated in a case-control study of 21 cases and 82 controls admitted to hospital for acute, non-neoplastic, non-hormone-related diseases in the Greater Milan area between 1988 and 1994. More educated men tended to be at higher risk of breast cancer, with a multivariate odds ratio (OR) of 2.6 [95% confidence interval (CI) 0.7-9.4]. The OR was 3.2 (95% CI 1.1-9.6) for those in the higher social class. Men with no offspring were at higher risk than f...

  9. Menopausal hormone use and ovarian cancer risk

    DEFF Research Database (Denmark)

    Beral, V; Gaitskell, K; Hermon, C;

    2015-01-01

    BACKGROUND: Half the epidemiological studies with information about menopausal hormone therapy and ovarian cancer risk remain unpublished, and some retrospective studies could have been biased by selective participation or recall. We aimed to assess with minimal bias the effects of hormone therapy...... on ovarian cancer risk. METHODS: Individual participant datasets from 52 epidemiological studies were analysed centrally. The principal analyses involved the prospective studies (with last hormone therapy use extrapolated forwards for up to 4 years). Sensitivity analyses included the retrospective studies....... Adjusted Poisson regressions yielded relative risks (RRs) versus never-use. FINDINGS: During prospective follow-up, 12 110 postmenopausal women, 55% (6601) of whom had used hormone therapy, developed ovarian cancer. Among women last recorded as current users, risk was increased even with

  10. Cancer Pharmacogenomics: Integrating Discoveries in Basic, Clinical and Population Sciences to Advance Predictive Cancer Care

    Science.gov (United States)

    Cancer Pharmacogenomics: Integrating Discoveries in Basic, Clinical and Population Sciences to Advance Predictive Cancer Care, a 2010 workshop sponsored by the Epidemiology and Genomics Research Program.

  11. Risk Stratification in Differentiated Thyroid Cancer: An Ongoing Process.

    Science.gov (United States)

    Omry-Orbach, Gal

    2016-01-28

    Thyroid cancer is an increasingly common malignancy, with a rapidly rising prevalence worldwide. The social and economic ramifications of the increase in thyroid cancer are multiple. Though mortality from thyroid cancer is low, and most patients will do well, the risk of recurrence is not insignificant, up to 30%. Therefore, it is important to accurately identify those patients who are more or less likely to be burdened by their disease over years and tailor their treatment plan accordingly. The goal of risk stratification is to do just that. The risk stratification process generally starts postoperatively with histopathologic staging, based on the AJCC/UICC staging system as well as others designed to predict mortality. These do not, however, accurately assess the risk of recurrence/persistence. Patients initially considered to be at high risk may ultimately do very well yet be burdened by frequent unnecessary monitoring. Conversely, patients initially thought to be low risk, may not respond to their initial treatment as expected and, if left unmonitored, may have higher morbidity. The concept of risk-adaptive management has been adopted, with an understanding that risk stratification for differentiated thyroid cancer is dynamic and ongoing. A multitude of variables not included in AJCC/UICC staging are used initially to classify patients as low, intermediate, or high risk for recurrence. Over the course of time, a response-to-therapy variable is incorporated, and patients essentially undergo continuous risk stratification. Additional tools such as biochemical markers, genetic mutations, and molecular markers have been added to this complex risk stratification process such that this is essentially a continuum of risk. In recent years, additional considerations have been discussed with a suggestion of pre-operative risk stratification based on certain clinical and/or biologic characteristics. With the increasing prevalence of thyroid cancer but stable mortality

  12. Risk Stratification in Differentiated Thyroid Cancer: An Ongoing Process.

    Science.gov (United States)

    Omry-Orbach, Gal

    2016-01-01

    Thyroid cancer is an increasingly common malignancy, with a rapidly rising prevalence worldwide. The social and economic ramifications of the increase in thyroid cancer are multiple. Though mortality from thyroid cancer is low, and most patients will do well, the risk of recurrence is not insignificant, up to 30%. Therefore, it is important to accurately identify those patients who are more or less likely to be burdened by their disease over years and tailor their treatment plan accordingly. The goal of risk stratification is to do just that. The risk stratification process generally starts postoperatively with histopathologic staging, based on the AJCC/UICC staging system as well as others designed to predict mortality. These do not, however, accurately assess the risk of recurrence/persistence. Patients initially considered to be at high risk may ultimately do very well yet be burdened by frequent unnecessary monitoring. Conversely, patients initially thought to be low risk, may not respond to their initial treatment as expected and, if left unmonitored, may have higher morbidity. The concept of risk-adaptive management has been adopted, with an understanding that risk stratification for differentiated thyroid cancer is dynamic and ongoing. A multitude of variables not included in AJCC/UICC staging are used initially to classify patients as low, intermediate, or high risk for recurrence. Over the course of time, a response-to-therapy variable is incorporated, and patients essentially undergo continuous risk stratification. Additional tools such as biochemical markers, genetic mutations, and molecular markers have been added to this complex risk stratification process such that this is essentially a continuum of risk. In recent years, additional considerations have been discussed with a suggestion of pre-operative risk stratification based on certain clinical and/or biologic characteristics. With the increasing prevalence of thyroid cancer but stable mortality

  13. Oral contraception and risk of endometrial cancer

    Directory of Open Access Journals (Sweden)

    Mueck AO

    2011-10-01

    Full Text Available Alfred O Mueck1, Harald Seeger1, Xiangyan Ruan2 1Department of Endocrinology and Menopause, University Women's Hospital of Tuebingen, Tuebingen, Germany; 2Department of Gynecological Endocrinology, Beijing Obstetrics and Gynecology Hospital, Capital Medical University, Beijing, China Abstract: No placebo-controlled studies concerning hormonal contraception in general have been published, and only investigations on biological mechanisms and observational clinical studies are available. Thus, associations can be described but not their causality. Experimental studies strongly suggest protective effects of the progestagen component of hormonal contraception against development of estrogen-related (type 1 endometrial cancer. In light of this research, it seems biologically plausible that, in more than 20 published studies, a reduction in endometrial cancer risk was achieved in up to 50% of users of combined oral contraceptives (COC, compared with nonusers. Few data exist for progestin-only oral preparations. However, in view of the mechanisms involved, a reduction in cancer risk should also be expected. Whereas hormonal dose-dependency has been investigated in only a few studies, which showed a stronger risk reduction with increasing progestagenic potency, a decreased risk dependent on duration of use has been clearly demonstrated, and after stopping COC this effect has persisted for up to 20 years. Possible confounders, including family history, parity, and smoking, have been investigated in a few studies, with only a minor impact on hormonal effect of endometrial cancer risk, with the exception of obesity, which was a strong risk factor in most but not all studies. There are obvious differences in the incidence of endometrial cancer in women using COC when evaluated in absolute numbers for Western and Asian countries, being about 3–5-fold higher in the US than in Asia. Further research should include the noncontraceptive benefit of COC

  14. Obesity and risk of ovarian cancer subtypes

    DEFF Research Database (Denmark)

    Olsen, Catherine M; Nagle, Christina M; Whiteman, David C;

    2013-01-01

    Whilst previous studies have reported that higher BMI increases a woman's risk of developing ovarian cancer, associations for the different histological subtypes have not been well defined. As the prevalence of obesity has increased dramatically, and classification of ovarian histology has improv......, it does not increase risk of high-grade invasive serous cancers, and reducing BMI is therefore unlikely to prevent the majority of ovarian cancer deaths. Other modifiable factors must be identified to control this disease.......Whilst previous studies have reported that higher BMI increases a woman's risk of developing ovarian cancer, associations for the different histological subtypes have not been well defined. As the prevalence of obesity has increased dramatically, and classification of ovarian histology has improved...... in the last decade, we sought to examine the association in a pooled analysis of recent studies participating in the Ovarian Cancer Association Consortium. We evaluated the association between BMI (recent, maximum and in young adulthood) and ovarian cancer risk using original data from 15 case...

  15. Fruit and vegetables and cancer risk

    Science.gov (United States)

    Key, T J

    2011-01-01

    The possibility that fruit and vegetables may help to reduce the risk of cancer has been studied for over 30 years, but no protective effects have been firmly established. For cancers of the upper gastrointestinal tract, epidemiological studies have generally observed that people with a relatively high intake of fruit and vegetables have a moderately reduced risk, but these observations must be interpreted cautiously because of potential confounding by smoking and alcohol. For lung cancer, recent large prospective analyses with detailed adjustment for smoking have not shown a convincing association between fruit and vegetable intake and reduced risk. For other common cancers, including colorectal, breast and prostate cancer, epidemiological studies suggest little or no association between total fruit and vegetable consumption and risk. It is still possible that there are benefits to be identified: there could be benefits in populations with low average intakes of fruit and vegetables, such that those eating moderate amounts have a lower cancer risk than those eating very low amounts, and there could also be effects of particular nutrients in certain fruits and vegetables, as fruit and vegetables have very varied composition. Nutritional principles indicate that healthy diets should include at least moderate amounts of fruit and vegetables, but the available data suggest that general increases in fruit and vegetable intake would not have much effect on cancer rates, at least in well-nourished populations. Current advice in relation to diet and cancer should include the recommendation to consume adequate amounts of fruit and vegetables, but should put most emphasis on the well-established adverse effects of obesity and high alcohol intakes. PMID:21119663

  16. Fruit and vegetables and cancer risk.

    Science.gov (United States)

    Key, T J

    2011-01-01

    The possibility that fruit and vegetables may help to reduce the risk of cancer has been studied for over 30 years, but no protective effects have been firmly established. For cancers of the upper gastrointestinal tract, epidemiological studies have generally observed that people with a relatively high intake of fruit and vegetables have a moderately reduced risk, but these observations must be interpreted cautiously because of potential confounding by smoking and alcohol. For lung cancer, recent large prospective analyses with detailed adjustment for smoking have not shown a convincing association between fruit and vegetable intake and reduced risk. For other common cancers, including colorectal, breast and prostate cancer, epidemiological studies suggest little or no association between total fruit and vegetable consumption and risk. It is still possible that there are benefits to be identified: there could be benefits in populations with low average intakes of fruit and vegetables, such that those eating moderate amounts have a lower cancer risk than those eating very low amounts, and there could also be effects of particular nutrients in certain fruits and vegetables, as fruit and vegetables have very varied composition. Nutritional principles indicate that healthy diets should include at least moderate amounts of fruit and vegetables, but the available data suggest that general increases in fruit and vegetable intake would not have much effect on cancer rates, at least in well-nourished populations. Current advice in relation to diet and cancer should include the recommendation to consume adequate amounts of fruit and vegetables, but should put most emphasis on the well-established adverse effects of obesity and high alcohol intakes.

  17. Space Radiation Cancer Risk Projections and Uncertainties - 2010

    Science.gov (United States)

    Cucinotta, Francis A.; Kim, Myung-Hee Y.; Chappell, Lori J.

    2011-01-01

    Uncertainties in estimating health risks from galactic cosmic rays greatly limit space mission lengths and potential risk mitigation evaluations. NASA limits astronaut exposures to a 3% risk of exposure-induced death and protects against uncertainties using an assessment of 95% confidence intervals in the projection model. Revisions to this model for lifetime cancer risks from space radiation and new estimates of model uncertainties are described here. We review models of space environments and transport code predictions of organ exposures, and characterize uncertainties in these descriptions. We summarize recent analysis of low linear energy transfer radio-epidemiology data, including revision to Japanese A-bomb survivor dosimetry, longer follow-up of exposed cohorts, and reassessments of dose and dose-rate reduction effectiveness factors. We compare these projections and uncertainties with earlier estimates. Current understanding of radiation quality effects and recent data on factors of relative biological effectiveness and particle track structure are reviewed. Recent radiobiology experiment results provide new information on solid cancer and leukemia risks from heavy ions. We also consider deviations from the paradigm of linearity at low doses of heavy ions motivated by non-targeted effects models. New findings and knowledge are used to revise the NASA risk projection model for space radiation cancer risks.

  18. Using the lymph nodal ratio to predict the risk of locoregional recurrence in lymph node-positive breast cancer patients treated with mastectomy without radiation therapy

    International Nuclear Information System (INIS)

    To evaluate the prognostic value of axillary lymph node ratio (LNR) as compared to the number of involved nodes (pN stage) in patients with axillary lymph node-positive breast cancer treated with mastectomy without radiation. We performed a retrospective analysis of the clinical data of patients with stage II-III node-positive breast cancer (N=1068) between 1998 and 2007. Locoregional recurrence-free survival (LRFS) and overall survival (OS) were compared based on the LNR and pN staging. A total of 780 cases were classified as pN1, 183 as pN2, and 105 as pN3. With respect to LNR, 690 cases had a LNR from 0.01-0.20, 269 cases a LNR from 0.21-0.65, and 109 cases a LNR > 0.65. The median follow-up time was 62 months. Univariate analysis showed that both LNR and pN stage were prognostic factors of LRFS and OS (p<0.05). Multivariate analysis indicated that LNR was an independent prognostic factor of LRFS and OS (p<0.05). pN stage had no significant effect on LRFS or OS (p>0.05). In subgroup analysis, the LNR identified groups of patients with different survival rates based on pN stage. LNR is superior to pN staging as a prognostic factor in lymph node-positive breast cancer after mastectomy, and should be used as one of the indications for adjuvant radiation therapy

  19. Annual surveillance by CA125 and transvaginal ultrasound for ovarian cancer in both high-risk and population risk women is ineffective

    DEFF Research Database (Denmark)

    Woodward, E R; Sleightholme, H V; Considine, A M;

    2007-01-01

    and local cancer registry data. MAIN OUTCOME MEASURES: Ovarian cancers occurring in study population. Sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of TVU, and CA125 as a screening tool for ovarian cancer. RESULTS: Four ovarian cancers and one endometrial......OBJECTIVE: To assess the efficacy of annual CA125 and transvaginal ultrasound (TVU) scan as surveillance for ovarian cancer. DESIGN: Retrospective audit. SETTING: NHS Trust. POPULATION: Three hundred and forty-one asymptomatic women enrolled for ovarian cancer screening: 179 were in a high......-risk group (>10% lifetime risk of developing ovarian cancer), 77 in a moderate risk group (4-10% lifetime risk of developing ovarian cancer) and 71 in a near population risk group (

  20. Polymyositis and dermatomyositis as a risk of developing cancer.

    Science.gov (United States)

    Jakubaszek, Michał; Kwiatkowska, Brygida; Maślińska, Maria

    2015-01-01

    Polymyositis (PM) is an idiopathic inflammatory myopathy that affects striated muscles. Dermatomyositis (DM) is an idiopathic inflammatory myopathy with presence of skin symptoms. Both are characterized by acute or subacute onset, symmetrical proximal muscle weakness, the presence of mononuclear cell infiltrates of the muscles and increased activity of muscle enzymes. The treatment still remains glucocorticoids and disease-modifying drugs. Symptoms of PM/DM can be a signal of developing cancer. Known risk factors for cancer in patients with PM/DM are older age, male gender, dysphagia, skin necrosis, cutaneous vasculitis, rapid onset of the disease, elevated creatinine kinase (CK) and C reactive protein (CRP), and an increase in the erythrocyte sedimentation rate (ESR). Recently three new myositis-specific autoantibodies (MSA) predicting the risk of cancer have been discovered: melanoma differentiation-associated protein 5 (anti-MDA-5), transcription intermediary factor 1γ (TIF-1γ), and nuclear matrix protein NXP-2.

  1. Risk, Characteristics, and Prognosis of Breast Cancer after Hodgkin's Lymphoma

    OpenAIRE

    Veit-Rubin, Nikolaus; Rapiti Aylward, Elisabetta; Usel, Massimo; Benhamou, Simone; Vinh Hung, Vincent; Vlastos, Georges; Bouchardy Magnin, Christine

    2012-01-01

    Patients with breast cancer after Hodgkin's lymphoma were compared with patients with other breast cancers using the Surveillance, Epidemiology and End Results dataset. Hodgkin's lymphoma survivors had a higher risk for breast cancer, more aggressive breast cancers, a higher risk for a second breast cancer, and a poorer prognosis.

  2. Risk of prostate, ovarian, and endometrial cancer among relatives of women with breast cancer.

    OpenAIRE

    Tulinius, H.; Egilsson, V.; Olafsdóttir, G. H.; Sigvaldason, H

    1992-01-01

    OBJECTIVE--To investigate the risk of prostate, ovarian, and endometrial cancer among relatives of patients with breast cancer. DESIGN--Cohort study of 947 pedigrees in which the proband had breast cancer, linked with the Icelandic cancer registry. SETTING--Iceland. SUBJECTS--The 947 pedigrees included 29,725 people, of whom 1539 had breast cancer, 467 had prostate cancer, 135 ovarian cancer, and 105 endometrial cancer. MAIN OUTCOME MEASURES--Risk of prostate, ovarian, and endometrial cancer ...

  3. Cancer Risk Assessment for the Primary Care Physician

    OpenAIRE

    Korde, Larissa A; Gadalla, Shahinaz M.

    2009-01-01

    Cancer is the second leading cause of death in the United States. Cancer risk assessment can be divided into two major categories: assessment of familial or genetic risk and assessment of environmental factors that may be causally related to cancer. Identification of individuals with a suspected heritable cancer syndrome can lead to additional evaluation and to interventions that can substantially decrease cancer risk. Special attention should also be paid to potentially modifiable cancer ris...

  4. Risk of cancer among atomic bomb survivors.

    Science.gov (United States)

    Shimizu, Y; Kato, H; Schull, W J

    1991-12-01

    This report describes the risk of cancer and in particular cancers other than leukemia among the survivors of the atomic bombing of Hiroshima and Nagasaki. Attention focuses primarily on the risk of death from cancer among individuals in the Life Span Study sample of the Radiation Effect Research Foundation in the period 1950-1985 based on the recently revised dosimetry, termed the DS86 doses. Mortality from malignant tumors is increased among A-bomb survivors as a late effect of A-bomb radiation. Besides the well-known increase of leukemia, there also has been demonstrated increase of cancer of the lung, breast, esophagus, stomach, colon, ovary, urinary bladder, thyroid, and of multiple myeloma, but no increase has yet been observed in mortality from cancer of the rectum, gallbladder, pancreas, prostate and uterus, and of malignant lymphoma. The pattern of appearance over time of radiation-induced cancer other than leukemia differs from that of leukemia. In general, radiation-induced solid cancer begins to appear after attaining the age at which the cancer is normally prone to develop (so-called cancer age), and continues to increase proportionately with the increase in mortality of the control group as it ages. Sensitivity to radiation, in terms of cancer induction, is higher for persons who were young at the time of the bomb (ATB) in general than for those who were older ATB. Furthermore, susceptibility to radiation-induced cancer tends to be higher in pre- than in post-natally exposed survivors (at least those exposed as adults). Other radiation effect modifiers and the shape of the dose response curve will also be discussed. PMID:1823367

  5. Adequacy of relative and absolute risk models for lifetime risk estimate of radiation-induced cancer

    International Nuclear Information System (INIS)

    This report examines the applicability of the relative (multiplicative) and absolute (additive) models in predicting lifetime risk of radiation-induced cancer. A review of the epidemiologic literature, and a discussion of the mathematical models of carcinogenesis and their relationship to these models of lifetime risk, are included. Based on the available data, the relative risk model for the estimation of lifetime risk is preferred for non-sex-specific epithelial tumours. However, because of lack of knowledge concerning other determinants of radiation risk and of background incidence rates, considerable uncertainty in modelling lifetime risk still exists. Therefore, it is essential that follow-up of exposed cohorts be continued so that population-based estimates of lifetime risk are available

  6. On ionising radiation and breast cancer risk

    International Nuclear Information System (INIS)

    A cohort of 3,090 women with clinical diagnosis of benign breast disease (BBD) was studied. Of these, 1,216 were treated with radiation therapy during 1925-54 (median age 40 years). The mean dose to the breasts was 5.8 Gy (range 0-50 Gy). Among other organs the lung received the highest scattered dose (0.75 Gy; range 0.004-8.98 Gy) and the rectum the lowest (0.008 Gy; range 0-0.06 Gy). A pooled analysis of eight breast cancer incidence cohorts was done, including: tumour registry data on breast cancer incidence among women in the Life Span Study cohort of atomic bomb survivors; women in Massachusetts who received repeated chest fluoroscopic during lung collapse treatment for tuberculosis; women who received x-ray therapy for acute post-partum mastitis; women who were irradiated in infancy for enlarged thymus glands ; two Swedish cohorts of women who received radiation treatments during infancy for skin hemangioma; and the BBD) cohort. Together the cohorts included almost 78,000 women (-35,000 were exposed), around 1.8 million woman-years and 1500 cases. The breast cancer incidence rate as a function of breast dose was analysed using linear-quadratic Poisson regression models. Cell-killing effects and other modifying effects were incorporated through additional log-linear terms. Additive (EAR) and multiplicative (ERR) models were compared in estimating the age-at-exposure patterns and time related excess. The carcinogenic risks associated with radiation in mammographic mass screening is evaluated. Assessment was made in terms of breast cancer mortality and years of life. Effects were related to rates not influenced by a mammographic mass screening program and based on a hypothetical cohort of 100,000 40-year old women with no history of breast cancer being followed to 100 years of age. Two radiation risk assumptions were compared. The dose-response relationship is linear with little support in data for an upward curvature at low to medium doses. The competing effect

  7. On ionising radiation and breast cancer risk

    Energy Technology Data Exchange (ETDEWEB)

    Mattson, Anders

    1999-05-01

    A cohort of 3,090 women with clinical diagnosis of benign breast disease (BBD) was studied. Of these, 1,216 were treated with radiation therapy during 1925-54 (median age 40 years). The mean dose to the breasts was 5.8 Gy (range 0-50 Gy). Among other organs the lung received the highest scattered dose (0.75 Gy; range 0.004-8.98 Gy) and the rectum the lowest (0.008 Gy; range 0-0.06 Gy). A pooled analysis of eight breast cancer incidence cohorts was done, including: tumour registry data on breast cancer incidence among women in the Life Span Study cohort of atomic bomb survivors; women in Massachusetts who received repeated chest fluoroscopic during lung collapse treatment for tuberculosis; women who received x-ray therapy for acute post-partum mastitis; women who were irradiated in infancy for enlarged thymus glands ; two Swedish cohorts of women who received radiation treatments during infancy for skin hemangioma; and the BBD cohort. Together the cohorts included almost 78,000 women (-35,000 were exposed), around 1.8 million woman-years and 1500 cases. The breast cancer incidence rate as a function of breast dose was analysed using linear-quadratic Poisson regression models. Cell-killing effects and other modifying effects were incorporated through additional log-linear terms. Additive (EAR) and multiplicative (ERR) models were compared in estimating the age-at-exposure patterns and time related excess. The carcinogenic risks associated with radiation in mammographic mass screening is evaluated. Assessment was made in terms of breast cancer mortality and years of life. Effects were related to rates not influenced by a mammographic mass screening program and based on a hypothetical cohort of 100,000 40-year old women with no history of breast cancer being followed to 100 years of age. Two radiation risk assumptions were compared. The dose-response relationship is linear with little support in data for an upward curvature at low to medium doses. The competing effect

  8. Genetic determinants of breast cancer risk

    OpenAIRE

    Li, Jingmei

    2011-01-01

    The main purpose of this thesis was to identify genetic risk factors using both hypothesis-based and hypothesis-free approaches. In an attempt to identify common disease susceptibility alleles for breast cancer, we started off with a hypothesis-free approach, and performed a combined analysis of three genome-wide association studies (GWAS), involving 2,702 women of European ancestry with invasive breast cancer and 5,726 controls. As GWAS has been said to underperform for stu...

  9. Risk of treatment-related esophageal cancer among breast cancer survivors

    DEFF Research Database (Denmark)

    Morton, L M; Gilbert, E S; Hall, P;

    2012-01-01

    Radiotherapy for breast cancer may expose the esophagus to ionizing radiation, but no study has evaluated esophageal cancer risk after breast cancer associated with radiation dose or systemic therapy use.......Radiotherapy for breast cancer may expose the esophagus to ionizing radiation, but no study has evaluated esophageal cancer risk after breast cancer associated with radiation dose or systemic therapy use....

  10. Increased risk for depression after breast cancer

    DEFF Research Database (Denmark)

    Suppli, Nis P; Johansen, Christoffer; Christensen, Jane;

    2014-01-01

    PURPOSE: To investigate the risk for first depression, assessed as incident hospital contacts for depression and incident use of antidepressants, among women with breast cancer. PATIENTS AND METHODS: Danish national registries were used to identify 1,997,669 women with no diagnosis of cancer...... or a major psychiatric disorder. This cohort was followed from 1998 to 2011 for a diagnosis of breast cancer and for the two outcomes, hospital contact for depression and redeemed prescriptions for antidepressants. Rate ratios for incident hospital contacts for depression and incident use of antidepressants...... were estimated with Poisson regression models. Multivariable Cox regression was used to evaluate factors associated with the two outcomes among patients with breast cancer. RESULTS: We identified 44,494 women with breast cancer. In the first year after diagnosis, the rate ratio for a hospital contact...

  11. Reducing Your Risk of Cancer

    Science.gov (United States)

    ... Double contrast barium enema test Computed tomography Fecal DNA test Women aged 50 years and older Women aged ... the colon. Fecal Occult Blood Test (FOBT): A test of a stool sample for blood, which could be a sign of cancer ... “blueprints” that code for specific traits, such as ...

  12. Cancer risk following radiotherapy of cervical cancer: A preliminary report

    International Nuclear Information System (INIS)

    Women treated for cervical cancer were selected for study because (a) doses to body organs following radiotherapy can be accurately determined and vary sufficiently to permit dose-response evaluations, (b) organs remote from the cervix receive low-dose exposures in the range of current scientific interest, (c) treatment is relatively successful and many patients survive long enough to be at risk of late complications of radiotherapy, and (d) several nonexposed groups of women with cervical cancer are also available for comparison. In addition, population-based cancer registries provide an opportunity to inexpensively study large numbers of individuals over many decades. The careful procedures normally used by cancer registries to record second primary cancers facilitate the study of cancer incidence for which a wider view of radiation risk is expected than can be seen in investigations of mortality. Other special features of studies of cervical cancer patients include the ability to assess the effects of very large partial-body exposures, differences in organ sensitivities to radiation, interactions of radiation with biological factors such as age, and the duration of carcinogenic response

  13. A Review of Current Machine Learning Methods Used for Cancer Recurrence Modeling and Prediction

    Energy Technology Data Exchange (ETDEWEB)

    Hemphill, Geralyn M. [Los Alamos National Lab. (LANL), Los Alamos, NM (United States)

    2016-09-27

    Cancer has been characterized as a heterogeneous disease consisting of many different subtypes. The early diagnosis and prognosis of a cancer type has become a necessity in cancer research. A major challenge in cancer management is the classification of patients into appropriate risk groups for better treatment and follow-up. Such risk assessment is critically important in order to optimize the patient’s health and the use of medical resources, as well as to avoid cancer recurrence. This paper focuses on the application of machine learning methods for predicting the likelihood of a recurrence of cancer. It is not meant to be an extensive review of the literature on the subject of machine learning techniques for cancer recurrence modeling. Other recent papers have performed such a review, and I will rely heavily on the results and outcomes from these papers. The electronic databases that were used for this review include PubMed, Google, and Google Scholar. Query terms used include “cancer recurrence modeling”, “cancer recurrence and machine learning”, “cancer recurrence modeling and machine learning”, and “machine learning for cancer recurrence and prediction”. The most recent and most applicable papers to the topic of this review have been included in the references. It also includes a list of modeling and classification methods to predict cancer recurrence.

  14. Pancreatic cancer: epidemiology and risk factors.

    Science.gov (United States)

    Krejs, Guenter J

    2010-01-01

    Ductal adenocarcinoma of the pancreas has an incidence of approximately 10 per 100,000 population per year. This number pertains to Europe, North America and parts of South America (Argentina). Men are more often afflicted than women (female:male ratio of about 1:1.5, though reports vary). There has been a very small but steady increase in the incidence over the last 50 years. Unfortunately, numbers for incidence and mortality are still practically identical for this cancer. The peak of incidence is between 60 and 80 years of age. In absolute numbers, there are 8,000 cases diagnosed annually in Germany, and 33,000 in the US. Pancreatic cancer at pancreatic cancer include high-fat diet, smoking, chronic pancreatitis, primary sclerosing cholangitis, hereditary pancreatitis, family history of pancreatic cancer and diabetes mellitus. In chronic pancreatitis, the risk for pancreatic cancer is increased 20-fold, in hereditary pancreatitis it is 60-fold higher than in the general population. In a kindred with 2 first-degree relatives with pancreatic cancer, the risk for pancreatic cancer for other members of that kindred is 7-fold higher.

  15. Serum YKL-40 in risk assessment for colorectal cancer

    DEFF Research Database (Denmark)

    Johansen, Julia Sidenius; Christensen, Ib Jarle; Jørgensen, Lars Nannestad;

    2015-01-01

    to endoscopy due to symptoms or other risk factors for colorectal cancer. Blood samples were collected just before large bowel endoscopy. Serum YKL-40 was determined by ELISA. Serum YKL-40 was higher (P colon cancer (median 126 μg......The aim of the present study was to test the hypothesis that high serum YKL-40 associates with colorectal cancer in subjects at risk of colorectal cancer. We measured serum YKL-40 in a prospective study of 4,496 Danish subjects [2,064 men, 2,432 women, median age 61 years (range, 18-97)] referred....../L, 25%-75%: 80-206 μg/L) and rectal cancer (104, 72-204 μg/L) compared with subjects with adenoma (84, 53-154 μg/L), other nonmalignant findings (79, 49-138 μg/L), and no findings (62, 41-109 μg/L). Serum YKL-40 independently predicted colorectal cancer [OR, 1.53; 95% confidence interval (CI), 1...

  16. Breast cancer biomarkers predict weight loss after gastric bypass surgery

    Directory of Open Access Journals (Sweden)

    Sauter Edward R

    2012-01-01

    Full Text Available Abstract Background Obesity has long been associated with postmenopausal breast cancer risk and more recently with premenopausal breast cancer risk. We previously observed that nipple aspirate fluid (n levels of prostate specific antigen (PSA were associated with obesity. Serum (s levels of adiponectin are lower in women with higher body mass index (BMI and with breast cancer. We conducted a prospective study of obese women who underwent gastric bypass surgery to determine: 1 change in n- and s-adiponectin and nPSA after surgery and 2 if biomarker change is related to change in BMI. Samples (30-s, 28-n and BMI were obtained from women 0, 3, 6 and 12 months after surgery. Findings There was a significant increase after surgery in pre- but not postmenopausal women at all time points in s-adiponectin and at 3 and 6 months in n-adiponectin. Low n-PSA and high s-adiponectin values were highly correlated with decrease in BMI from baseline. Conclusions Adiponectin increases locally in the breast and systemically in premenopausal women after gastric bypass. s-adiponectin in pre- and nPSA in postmenopausal women correlated with greater weight loss. This study provides preliminary evidence for biologic markers to predict weight loss after gastric bypass surgery.

  17. HSPB1 Gene Polymorphisms Predict Risk of Mortality for US Patients After Radio(chemo)therapy for Non-Small Cell Lung Cancer

    Energy Technology Data Exchange (ETDEWEB)

    Xu Ting [Institute of Clinical Pharmacology, Central South University, Changsha, Hunan (China); Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Wei Qingyi [Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Lopez Guerra, Jose Luis [Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Department of Radiation Oncology, Instituto Madrileno de Oncologia/Grupo IMO, Madrid (Spain); Wang Lie; Liu Zhensheng [Department of Epidemiology, University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Gomez, Daniel; O' Reilly, Michael; Lin, Steven Hsesheng [Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Zhuang Yan [Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Levy, Lawrence B. [Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Mohan, Radhe [Department of Radiation Physics, University of Texas MD Anderson Cancer Center, Houston, Texas (United States); Zhou Honghao [Institute of Clinical Pharmacology, Central South University, Changsha, Hunan (China); Liao Zhongxing, E-mail: zliao@mdanderson.org [Department of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas (United States)

    2012-10-01

    Purpose: We investigated potential associations between single-nucleotide polymorphisms (SNPs) in the heat shock protein beta-1 (HSPB1) gene and overall survival in US patients with non-small cell lung cancer (NSCLC). Methods and Materials: Using available genomic DNA samples from 224 patients with NSCLC treated with definitive radio(chemo)therapy, we genotyped 2 SNPs of HSPB1 (NCBI SNP nos. rs2868370 and rs2868371). We used both Kaplan-Meier cumulative probability and Cox proportional hazards analyses to evaluate the effect of HSPB1 genotypes on survival. Results: Our cohort consisted of 117 men and 107 women, mostly white (79.5%), with a median age of 70 years. The median radiation dose was 66 Gy (range, 63-87.5 Gy), and 183 patients (82%) received concurrent platinum-based chemotherapy. The most common genotype of the rs2868371 SNP was CC (61%). Univariate and multivariate analyses showed that this genotype was associated with poorer survival than CG and GG genotypes (univariate hazard ratio [HR] = 1.39, 95% confidence interval [CI], 1.02-1.90; P=.037; multivariate HR = 1.39; 95% CI, 1.01-1.92; P=.045). Conclusions: Our results showed that the CC genotype of HSPB1 rs2868371 was associated with poorer overall survival in patients with NSCLC after radio(chemo)therapy, findings that contradict those of a previous study of Chinese patients. Validation of our findings with larger numbers of similar patients is needed, as are mechanical and clinical studies to determine the mechanism underlying these associations.

  18. Defining chromosomal translocation risks in cancer

    OpenAIRE

    Marc A Hogenbirk; Heideman, Marinus R.; de Rink, Iris; Velds, Arno; Kerkhoven, Ron M.; Wessels, Lodewyk F. A.; Jacobs, Heinz

    2016-01-01

    Applying innovative integrative analyses of multifactorial genome-wide data, we now demonstrate that an open chromatin configuration, which is generically enriched promoter-proximal but not promoter-specific, is the common denominator and key translocation risk-determinant of active chromatin. The finding that gene size directly correlated with its translocation risk, in both mice and cancer patients, independently emphasized the generic irrelevance of any promoter-specific activity. These da...

  19. Cervical cancer risk factors among HIV-infected Nigerian women

    OpenAIRE

    Ononogbu, Uzoma; Almujtaba, Maryam; Modibbo, Fatima; Lawal, Ishak; Offiong, Richard; Olaniyan, Olayinka; Dakum, Patrick; Spiegelman, Donna; Blattner, William; Adebamowo, Clement

    2013-01-01

    Background: Cervical cancer is the third most common cancer among women worldwide, and in Nigeria it is the second most common female cancer. Cervical cancer is an AIDS-defining cancer; however, HIV only marginally increases the risk of cervical pre-cancer and cancer. In this study, we examine the risk factors for cervical pre-cancer and cancer among HIV-positive women screened for cervical cancer at two medical institutions in Abuja, Nigeria. Methods: A total of 2,501 HIV-positive women part...

  20. Cardiovascular risk assessment - From individual risk prediction to estimation of global risk and change in risk in the population

    OpenAIRE

    Batsis John A; Lopez-Jimenez Francisco

    2010-01-01

    Abstract Background Cardiovascular disease is the most common cause of death and risk prediction formulae such as the Framingham Risk Score have been developed to easily identify patients at high risk that may require therapeutic interventions. Discussion Using cardiovascular risk formulae at a population level to estimate and compare average cardiovascular risk among groups has been recently proposed as a way to facilitate surveillance of net cardiovascular risk and target public health inte...

  1. Occupational risks of sinonasal cancer in Denmark.

    Science.gov (United States)

    Olsen, J H

    1988-05-01

    A new comprehensive data linkage system for the detailed investigation of occupational cancer has been established in the Danish Cancer Registry, providing employment histories back to 1964. All 382 cases of cancers of the sinonasal cavities diagnosed between 1970 and 1984 and kept on file in this data linkage system were analysed using standardised proportional incidence ratios (SPIR) to screen for industrial high risk areas for these malignancies in Denmark. Excess risks were confirmed among men and women employed in the manufacture of footwear and other leather products and of wooden furniture. No risk significantly above expectancy was observed among wood workers outside the furniture making industry. Excess risks were also seen among men in all areas of basic metal industries (SPIR = 184-562) and in a subset of workers in industries producing metal containers (SPIR = 329-600). Most unexpected were raised risks among employees of both sexes in making cocoa, chocolate, and sugar confectionery (SPIR = 535 for men and 860 for women); these, in combination with the observed risks among female employees in canning and preserving fruits and vegetables (SPIR = 778) and in farming (SPIR = 735) may point to a common aetiology. The obscuring effect of mass significance may, however, be another explanation. The new associations discovered in this large scale linkage study must therefore await further confirmation.

  2. Occupational risks of sinonasal cancer in Denmark.

    Science.gov (United States)

    Olsen, J H

    1988-05-01

    A new comprehensive data linkage system for the detailed investigation of occupational cancer has been established in the Danish Cancer Registry, providing employment histories back to 1964. All 382 cases of cancers of the sinonasal cavities diagnosed between 1970 and 1984 and kept on file in this data linkage system were analysed using standardised proportional incidence ratios (SPIR) to screen for industrial high risk areas for these malignancies in Denmark. Excess risks were confirmed among men and women employed in the manufacture of footwear and other leather products and of wooden furniture. No risk significantly above expectancy was observed among wood workers outside the furniture making industry. Excess risks were also seen among men in all areas of basic metal industries (SPIR = 184-562) and in a subset of workers in industries producing metal containers (SPIR = 329-600). Most unexpected were raised risks among employees of both sexes in making cocoa, chocolate, and sugar confectionery (SPIR = 535 for men and 860 for women); these, in combination with the observed risks among female employees in canning and preserving fruits and vegetables (SPIR = 778) and in farming (SPIR = 735) may point to a common aetiology. The obscuring effect of mass significance may, however, be another explanation. The new associations discovered in this large scale linkage study must therefore await further confirmation. PMID:3378013

  3. Forecasting individual breast cancer risk using plasma metabolomics and biocontours

    DEFF Research Database (Denmark)

    Bro, Rasmus; Kamstrup-Nielsen, Maja Hermann; Engelsen, Søren Balling;

    2015-01-01

    in a subject 2–5 years after the sample is taken with sensitivity and specificity well above 80 %. The model was built on data obtained in 1993–1996 and tested on persons sampled a year later in 1997. Metabolic forecasting of cancer by biocontours opens new possibilities for early prediction of individual...... by chemometric data fusion. It was possible to create a biocontour, which we define as a complex pattern of relevant biological and phenotypic information. While single markers or known risk factors have close to no predictive value, the developed biocontour provides a forecast which, several years before...

  4. Reassessment of risk factors for oral cancer.

    Science.gov (United States)

    Gangane, Nitin; Chawla, Shweta; Anshu; Subodh, Anshu; Gupta, Subodh Sharan; Sharma, Satish M

    2007-01-01

    A total of 140 cases of histologically confirmed oral cancer were evaluated for their demographic details, dietary habits and addiction to tobacco and alcohol using a pre-designed structured questionnaire at the Mahatma Gandhi Institute of Medical Sciences, Sevagram in Central India. These cases were matched with three sets of age and sex matched controls. Oral cancer was predominant in the age group of 50-59 years. Individuals on a non-vegetarian diet appeared to be at greater risk of developing oral cancer. Cases were habituated to consuming hot beverages more frequently and milk less frequently than controls. Consumption of ghutka, a granular form of chewable tobacco and areca nut, was significantly associated with oral cancer cases. Cases had been using oral tobacco for longer duration than controls, and were habituated to sleeping with tobacco quid in their mouth. Most cases were also addicted to smoking tobacco and alcohol consumption. Bidi (a crude cigarette) smoking was most commonly associated with oral cancer. On stratified analysis, a combination of regular smoking and oral tobacco use, as well as a combination of regular alcohol intake and oral tobacco use were significantly associated with oral cancer cases. Synergistic effects of all three or even two of the risk factors - oral tobacco use, smoking and alcohol consumption- was more commonly seen in cases when compared to controls.

  5. Menarche menopause breast cancer risk individual

    NARCIS (Netherlands)

    Collaborative Group on Hormonal Factors in Breast Cancer; Bausch-Goldbohm, R.A.

    2012-01-01

    BACKGROUND:Menarche and menopause mark the onset and cessation, respectively, of ovarian activity associated with reproduction, and affect breast cancer risk. Our aim was to assess the strengths of their effects and determine whether they depend on characteristics of the tumours or the affected wome

  6. Gene variant linked to lung cancer risk

    Science.gov (United States)

    A variation of the gene NFKB1, called rs4648127, is associated with an estimated 44 percent reduction in lung cancer risk. When this information, derived from samples obtained as part of a large NCI-sponsored prevention clinical trial, was compared with d

  7. Cellular telephone use and cancer risk

    DEFF Research Database (Denmark)

    2006-01-01

    expected in the Danish population. RESULTS: A total of 14,249 cancers were observed (SIR = 0.95; 95% confidence interval [CI] = 0.93 to 0.97) for men and women combined. Cellular telephone use was not associated with increased risk for brain tumors (SIR = 0.97), acoustic neuromas (SIR = 0.73), salivary...

  8. Dietary acrylamide intake and brain cancer risk

    NARCIS (Netherlands)

    Hogervorst, J.G.F.; Schouten, L.J.; Konings, E.J.M.; Goldbohm, R.A.; Brandt, P.A. van den

    2009-01-01

    Background: Acrylamide is a probable human carcinogen, which is present in several heat-treatedfood s. In epidemiologic studies, positive associations with endometrial, ovarian, and renal cell cancer risk have been observed. The incidence of central nervous system tumors was increased upon acrylamid

  9. Nutrition and Gastric Cancer Risk: An Update

    Science.gov (United States)

    Data from epidemiologic, experimental, and animal studies indicate that diet plays an important role in the etiology of gastric cancer. High intake of fresh fruit and vegetable, lycopene and lycopene-containing food products, and potentially vitamin C and selenium may reduce the risk for gastric can...

  10. Depth-resolved nanoscale nuclear architecture mapping for early prediction of cancer progression

    Science.gov (United States)

    Uttam, Shikhar; Pham, Hoa V.; LaFace, Justin; Hartman, Douglas J.; Liu, Yang

    2016-03-01

    Effective management of patients who are at risk of developing invasive cancer is a primary challenge in early cancer detection. Techniques that can help establish clear-cut protocols for successful triaging of at-risk patients have the potential of providing critical help in improving patient care while simultaneously reducing patient cost. We have developed such a technique for early prediction of cancer progression that uses unstained tissue sections to provide depth-resolved nanoscale nuclear architecture mapping (nanoNAM) of heterogeneity in optical density alterations manifested in precancerous lesions during cancer progression. We present nanoNAM and its application to predicting cancer progression in a well-established mouse model of spontaneous carcinogenesis: ApcMin/+ mice.

  11. Tetrachloroethylene exposure and bladder cancer risk

    DEFF Research Database (Denmark)

    Vlaanderen, Jelle; Straif, Kurt; Ruder, Avima;

    2014-01-01

    BACKGROUND: In 2012, the International Agency for Research on Cancer classified tetrachloroethylene, used in the production of chemicals and the primary solvent used in dry cleaning, as "probably carcinogenic to humans" based on limited evidence of an increased risk of bladder cancer in dry...... cleaners. OBJECTIVES: We assessed the epidemiological evidence for the association between tetrachloroethylene exposure and bladder cancer from published studies estimating occupational exposure to tetrachloroethylene or in workers in the dry-cleaning industry. METHODS: Random-effects meta-analyses were...... carried out separately for occupational exposure to tetrachloroethylene and employment as a dry cleaner. We qualitatively summarized exposure-response data because of the limited number of studies available. RESULTS: The meta-relative risk (mRR) among tetrachloroethylene-exposed workers was 1.08 (95% CI...

  12. Mitochondrial dysfunction and risk of cancer

    DEFF Research Database (Denmark)

    Lund, M; Melbye, M; Diaz, L J;

    2015-01-01

    BACKGROUND: Mitochondrial mutations are commonly reported in tumours, but it is unclear whether impaired mitochondrial function per se is a cause or consequence of cancer. To elucidate this, we examined the risk of cancer in a nationwide cohort of patients with mitochondrial dysfunction. METHODS......: We used nationwide results on genetic testing for mitochondrial disease and the Danish Civil Registration System, to construct a cohort of 311 patients with mitochondrial dysfunction. A total of 177 cohort members were identified from genetic testing and 134 genetically untested cohort members were...... mDNA mutation, cases=13. CONCLUSIONS: Patients with mitochondrial dysfunction do not appear to be at increased risk of cancer compared with the general population....

  13. Cell Phones and Cancer Risk

    Science.gov (United States)

    ... phone will be represented on a single phone company account. Do children have a higher risk of ... of Health FOLLOW US Facebook Twitter Instagram YouTube Google+ LinkedIn GovDelivery RSS CONTACT INFORMATION Contact Us LiveHelp ...

  14. What Are the Risk Factors for Breast Cancer in Men?

    Science.gov (United States)

    ... well as that of many other diseases and cancers. Testicular conditions Some studies have suggested that certain conditions, ... Breast Cancer In Men? Causes, Risk Factors, and Prevention Early Detection, Diagnosis, and Staging Treating Breast Cancer ...

  15. 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.

  16. GERD, Barrett's Esophagus and the Risk for Esophageal Cancer

    Science.gov (United States)

    ... Facts About Common Colon Cancer Screening Tests PATIENTS GERD, Barrett's Esophagus and the Risk for Esophageal Cancer ... commonly in Caucasians as well as people with gastroesophageal reflux disease (GERD). This cancer is increasing in frequency. ...

  17. Is Previous Respiratory Disease a Risk Factor for Lung Cancer?

    NARCIS (Netherlands)

    Denholm, Rachel; Schüz, Joachim; Straif, Kurt; Stücker, Isabelle; Jöckel, Karl-Heinz; Brenner, Darren R; De Matteis, Sara; Boffetta, Paolo; Guida, Florence; Brüske, Irene; Wichmann, Heinz-Erich; Landi, Maria Teresa; Caporaso, Neil; Siemiatycki, Jack; Ahrens, Wolfgang; Pohlabeln, Hermann; Zaridze, David; Field, John K; McLaughlin, John; Demers, Paul; Szeszenia-Dabrowska, Neonila; Lissowska, Jolanta; Rudnai, Peter; Fabianova, Eleonora; Dumitru, Rodica Stanescu; Bencko, Vladimir; Foretova, Lenka; Janout, Vladimir; Kendzia, Benjamin; Peters, Susan; Behrens, Thomas; Vermeulen, Roel; Brüning, Thomas; Kromhout, Hans; Olsson, Ann

    2014-01-01

    Rationale: Previous respiratory diseases have been associated with increased risk of lung cancer. Respiratory conditions often co-occur and few studies have investigated multiple conditions simultaneously. Objectives: Investigate lung cancer risk associated with chronic bronchitis, emphysema, tuberc

  18. Breast Cancer Risk Assessment SAS Macro (Gail Model)

    Science.gov (United States)

    A SAS macro (commonly referred to as the Gail Model) that projects absolute risk of invasive breast cancer according to NCI’s Breast Cancer Risk Assessment Tool (BCRAT) algorithm for specified race/ethnic groups and age intervals.

  19. Hereditary cancer risk assessment: essential tools for a better approach

    OpenAIRE

    Gomy, Israel; Estevez Diz, Maria Del Pilar

    2013-01-01

    Hereditary cancer risk assessment (HCRA) is a multidisciplinary process of estimating probabilities of germline mutations in cancer susceptibility genes and assessing empiric risks of cancer, based on personal and family history. It includes genetic counseling, testing and management of at-risk individuals so that they can make well-informed choices about cancer surveillance, surgical treatment and chemopreventive measures, including biomolecular cancer therapies. Providing patients and famil...

  20. Predicting Adverse Health Outcomes in Long-Term Survivors of a Childhood Cancer

    Directory of Open Access Journals (Sweden)

    Chaya S. Moskowitz

    2014-07-01

    Full Text Available More than 80% of children and young adults diagnosed with invasive cancer will survive five or more years beyond their cancer diagnosis. This population has an increased risk for serious illness- and treatment-related morbidity and premature mortality. A number of these adverse health outcomes, such as cardiovascular disease and some second primary neoplasms, either have modifiable risk factors or can be successfully treated if detected early. Absolute risk models that project a personalized risk of developing a health outcome can be useful in patient counseling, in designing intervention studies, in forming prevention strategies, and in deciding upon surveillance programs. Here, we review existing absolute risk prediction models that are directly applicable to survivors of a childhood cancer, discuss the concepts and interpretation of absolute risk models, and examine ways in which these models can be used applied in clinical practice and public health.

  1. 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.)

  2. Breast cancer after radiotherapy: Risk factors and suggestion for breast delineation as an organ at risk in the prepubertal girl

    International Nuclear Information System (INIS)

    Patients who survive a cancer occurring during childhood or young adulthood, treated with radiation, are at a very high risk of chronic sequelae and secondary tumours. To reduce this radioinduced morbidity and mortality, efforts are put on reducing the burden of the treatments and a long-term monitoring of these patients is progressively organized. We present a general review of the literature about the risk factors for developing a secondary breast cancer, which is the most frequent secondary tumour in this population. We suggest that contouring the prepubescent breast as an organ at risk may help predict the risk and reduce the dose to the breasts using modern radiotherapy techniques. (authors)

  3. Predictive role of HER2/neu, topoisomerase-II-alpha, and tissue inhibitor of metalloproteinases (TIMP-1) for response to adjuvant taxane-based chemotherapy in patients with intermediate-risk breast cancer

    DEFF Research Database (Denmark)

    Erber, Ramona; Gluz, Oleg; Brünner, Nils;

    2015-01-01

    Taxane-anthracycline-based adjuvant chemotherapy is standard of care in patients with node-positive breast cancer (BC) but is also associated with severe side effects and significant costs. It is yet unclear, which biomarkers would predict benefit from taxanes and/or general chemoresistance...

  4. Cancer surgery: risks and opportunities.

    LENUS (Irish Health Repository)

    Coffey, J C

    2012-02-03

    In the recent past, several papers have pointed to the possibility that tumour removal generates a permissive environment in which tumour growth is potentiated. This phenomenon has been coined "perioperative tumour growth" and whilst it represents a departure in terms of our attitude to the surgical process, this concept was first hinted at by Paget(1) himself. Despite this, the time interval immediately before and after cancer surgery (i.e. the perioperative period) remains an underutilised interval during which chemotherapeutic regimens are rarely implemented. Herein, we present a summarised review of the literature that supports the concept that tumour removal may potentiate the growth of residual neoplastic disease. We also outline current knowledge regarding underlying mechanisms and in this manner highlight potential therapeutic entry points. Finally, we emphasise the urgent need for trials of agents that could protect patients against the harmful host-tumour interactions that may occur during the perioperative period.

  5. Discrepancies between estimated and perceived risk of cancer among individuals with hereditary nonpolyposis colorectal cancer

    DEFF Research Database (Denmark)

    Domanska, K; Nilbert, Mef; Soller, M;

    2007-01-01

    Communicating cancer risk and recommending adequate control programs is central for genetic counseling. Individuals affected by hereditary nonpolyposis colorectal cancer (HNPCC) are at about 80% life-time risk of colorectal cancer and for female carriers 40-60% risk of endometrial cancer and 10-1...

  6. What Are the Risk Factors for Thymus Cancer?

    Science.gov (United States)

    ... cancer? What are the risk factors for thymus cancer? A risk factor is anything that affects your chance of getting ... Back to top » Guide Topics What Is Thymus Cancer? Causes, Risk Factors, and Prevention Early Detection, Diagnosis, and Staging Treating ...

  7. What Are the Risk Factors for Gallbladder Cancer?

    Science.gov (United States)

    ... cancer? What are the risk factors for gallbladder cancer? A risk factor is anything that affects your chance of getting ... Back to top » Guide Topics What Is Gallbladder Cancer? Causes, Risk Factors, and Prevention Early Detection, Diagnosis, and Staging Treating ...

  8. Mediterranean dietary pattern and cancer risk in the EPIC cohort

    NARCIS (Netherlands)

    Couto, E.; Boffetta, P.; Lagiou, P.; Ferrari, P.; Buckland, G.; Overvad, K.; Dahm, C. C.; Tjonneland, A.; Olsen, A.; Clavel-Chapelon, F.; Boutron-Ruault, M-C; Cottet, V.; Trichopoulos, D.; Naska, A.; Benetou, V.; Kaaks, R.; Rohrmann, S.; Boeing, H.; von Ruesten, A.; Panico, S.; Pala, V.; Vineis, P.; Palli, D.; Tumino, R.; May, A.; Peeters, P. H.; Bueno-de-Mesquita, H. B.; Buchner, F. L.; Lund, E.; Skeie, G.; Engeset, D.; Gonzalez, C. A.; Navarro, C.; Rodriguez, L.; Sanchez, M-J; Amiano, P.; Barricarte, A.; Hallmans, G.; Johansson, I.; Manjer, J.; Wirfart, E.; Allen, N. E.; Crowe, F.; Khaw, K-T; Wareham, N.; Moskal, A.; Slimani, N.; Jenab, M.; Romaguera, D.; Mouw, T.; Norat, T.; Riboli, E.; Trichopoulou, A.

    2011-01-01

    BACKGROUND: Although several studies have investigated the association of the Mediterranean diet with overall mortality or risk of specific cancers, data on overall cancer risk are sparse. METHODS: We examined the association between adherence to Mediterranean dietary pattern and overall cancer risk

  9. Evaluating biomarkers to model cancer risk post cosmic ray exposure.

    Science.gov (United States)

    Sridharan, Deepa M; Asaithamby, Aroumougame; Blattnig, Steve R; Costes, Sylvain V; Doetsch, Paul W; Dynan, William S; Hahnfeldt, Philip; Hlatky, Lynn; Kidane, Yared; Kronenberg, Amy; Naidu, Mamta D; Peterson, Leif E; Plante, Ianik; Ponomarev, Artem L; Saha, Janapriya; Snijders, Antoine M; Srinivasan, Kalayarasan; Tang, Jonathan; Werner, Erica; Pluth, Janice M

    2016-06-01

    Robust predictive models are essential to manage the risk of radiation-induced carcinogenesis. Chronic exposure to cosmic rays in the context of the complex deep space environment may place astronauts at high cancer risk. To estimate this risk, it is critical to understand how radiation-induced cellular stress impacts cell fate decisions and how this in turn alters the risk of carcinogenesis. Exposure to the heavy ion component of cosmic rays triggers a multitude of cellular changes, depending on the rate of exposure, the type of damage incurred and individual susceptibility. Heterogeneity in dose, dose rate, radiation quality, energy and particle flux contribute to the complexity of risk assessment. To unravel the impact of each of these factors, it is critical to identify sensitive biomarkers that can serve as inputs for robust modeling of individual risk of cancer or other long-term health consequences of exposure. Limitations in sensitivity of biomarkers to dose and dose rate, and the complexity of longitudinal monitoring, are some of the factors that increase uncertainties in the output from risk prediction models. Here, we critically evaluate candidate early and late biomarkers of radiation exposure and discuss their usefulness in predicting cell fate decisions. Some of the biomarkers we have reviewed include complex clustered DNA damage, persistent DNA repair foci, reactive oxygen species, chromosome aberrations and inflammation. Other biomarkers discussed, often assayed for at longer points post exposure, include mutations, chromosome aberrations, reactive oxygen species and telomere length changes. We discuss the relationship of biomarkers to different potential cell fates, including proliferation, apoptosis, senescence, and loss of stemness, which can propagate genomic instability and alter tissue composition and the underlying mRNA signatures that contribute to cell fate decisions. Our goal is to highlight factors that are important in choosing

  10. Evaluating biomarkers to model cancer risk post cosmic ray exposure

    Science.gov (United States)

    Sridharan, Deepa M.; Asaithamby, Aroumougame; Blattnig, Steve R.; Costes, Sylvain V.; Doetsch, Paul W.; Dynan, William S.; Hahnfeldt, Philip; Hlatky, Lynn; Kidane, Yared; Kronenberg, Amy; Naidu, Mamta D.; Peterson, Leif E.; Plante, Ianik; Ponomarev, Artem L.; Saha, Janapriya; Snijders, Antoine M.; Srinivasan, Kalayarasan; Tang, Jonathan; Werner, Erica; Pluth, Janice M.

    2016-06-01

    Robust predictive models are essential to manage the risk of radiation-induced carcinogenesis. Chronic exposure to cosmic rays in the context of the complex deep space environment may place astronauts at high cancer risk. To estimate this risk, it is critical to understand how radiation-induced cellular stress impacts cell fate decisions and how this in turn alters the risk of carcinogenesis. Exposure to the heavy ion component of cosmic rays triggers a multitude of cellular changes, depending on the rate of exposure, the type of damage incurred and individual susceptibility. Heterogeneity in dose, dose rate, radiation quality, energy and particle flux contribute to the complexity of risk assessment. To unravel the impact of each of these factors, it is critical to identify sensitive biomarkers that can serve as inputs for robust modeling of individual risk of cancer or other long-term health consequences of exposure. Limitations in sensitivity of biomarkers to dose and dose rate, and the complexity of longitudinal monitoring, are some of the factors that increase uncertainties in the output from risk prediction models. Here, we critically evaluate candidate early and late biomarkers of radiation exposure and discuss their usefulness in predicting cell fate decisions. Some of the biomarkers we have reviewed include complex clustered DNA damage, persistent DNA repair foci, reactive oxygen species, chromosome aberrations and inflammation. Other biomarkers discussed, often assayed for at longer points post exposure, include mutations, chromosome aberrations, reactive oxygen species and telomere length changes. We discuss the relationship of biomarkers to different potential cell fates, including proliferation, apoptosis, senescence, and loss of stemness, which can propagate genomic instability and alter tissue composition and the underlying mRNA signatures that contribute to cell fate decisions. Our goal is to highlight factors that are important in choosing

  11. Cancer in first-degree relatives and risk of testicular cancer in Denmark

    OpenAIRE

    Nordsborg, Rikke Baastrup; Meliker, Jaymie R.; Wohlfahrt, Jan; Melbye, Mads; Raaschou-Nielsen, Ole

    2011-01-01

    Familial aggregation of testicular cancer has been reported consistently, but it is less clear if there is any association between risk of testicular cancer and other cancers in the family. We conducted a population based case-control study to examine the relationship between risk of testicular cancer and 22 different cancers in first-degree relatives. We included 3297 cases of testicular cancer notified to the Danish Cancer Registry between 1991 and 2003. 6594 matched controls were selected ...

  12. Visualization of risk of radiogenic second cancer in the organs and tissues of the human body

    International Nuclear Information System (INIS)

    Radiogenic second cancer is a common late effect in long term cancer survivors. Currently there are few methods or tools available to visually evaluate the spatial distribution of risks of radiogenic late effects in the human body. We developed a risk visualization method and demonstrated it for radiogenic second cancers in tissues and organs of one patient treated with photon volumetric modulated arc therapy and one patient treated with proton craniospinal irradiation. Treatment plans were generated using radiotherapy treatment planning systems (TPS) and dose information was obtained from TPS. Linear non-threshold risk coefficients for organs at risk of second cancer incidence were taken from the Biological Effects of Ionization Radiation VII report. Alternative risk models including linear exponential model and linear plateau model were also examined. The predicted absolute lifetime risk distributions were visualized together with images of the patient anatomy. The risk distributions of second cancer for the two patients were visually presented. The risk distributions varied with tissue, dose, dose-risk model used, and the risk distribution could be similar to or very different from the dose distribution. Our method provides a convenient way to directly visualize and evaluate the risks of radiogenic second cancer in organs and tissues of the human body. In the future, visual assessment of risk distribution could be an influential determinant for treatment plan scoring

  13. Risk of Ipsilateral and Contralateral Cancer in BRCA Mutation Carriers with Breast Cancer

    OpenAIRE

    Green, Leila; Meric-Bernstam, Funda

    2011-01-01

    BRCA1 and BRCA2 mutation carriers with breast cancer have a high risk of ipsilateral breast cancer tumor recurrence (IBTR) and a high lifetime risk of contralateral breast cancer (CBC). The IBTR risk is significantly higher in women who elect breast conservation. Oophorectomy has a protective effect for both ipsilateral breast tumor recurrence and CBC. Patients with younger age of breast cancer onset have a significantly greater risk of CBC. Given the higher risk of IBTR and CBC, when indicat...

  14. Clinical Benefits of Predicting Surgical Risk by E-PASS in Colorectal Cancer Surgery%E-PASS系统评估结直肠癌手术风险的临床价值

    Institute of Scientific and Technical Information of China (English)

    胡宗莉; 黄睿; 孟玥; 陈琪; 汪晓东; 李立

    2011-01-01

    目的 采用生理能力与手术侵袭度评分系统(E-PASS)预测结直肠癌患者择期手术风险,探讨其在术后并发症风险预测中的临床应用价值.方法 回顺性分析313例结直肠癌患者使用E-PASS评分系统评估其手术风险,比较E-PASS中的术前风险分数(PRS)、手术侵袭度分数(SSS)和综合风险分数(CRS)评分与实际手术预后的关系,并探讨E-PASS各项指标与术后风险的天系.结果 纳入分析的患者中,有22例(7.0%)患者发生术后并发症.患者的年龄(P=0.003)、体重(P=0.019)、肿瘤组织学类型(P=0.033)、Dukes分期(P=0.001),严重心脏疾病(P=0.019)、严重肺部疾病(P=0.000)、体能状态指数(P=0.000)、失血量/体重(P=0.007),失血量(P=0.001)和手术时间(P=0.000)均与并发症的发生相关;肿瘤分化程度(P=0.503)、糖尿病(P=0.745)、ASA分级(P=0.085)和于术切口大小(P=0.726)与并发症的发生无关.有并发症组的PRS和CRS明显高于无并发症组(P<0.001),而SSS在2组间的差异无统计学意义(P=0.059).结论 E-PASS评分系统是一个相对方便、有效和易操作的手术风险评估系统,能够较准确地预测结直肠癌患者术后短期并发症的发生.%Objective To evaluate the usefulness of estimation of physiologic ability and surgical stress (E-PASS) for predicting postoperative complications in patients undergoing elective colorectal cancer surgery. Methods Patients underwent colorectal cancer surgery between August 2009 and October 2010 were analyzed retrospectively. E-PASS equations were applied to those patients for estimation of operative risk. The preoperative risk score (PRS), surgical stress score (SSS), and comprehensive risk score (CRS) of the E-PASS were compared with actual postoperative complications. The relationship between E-PASS variables and morbidity after colorectal cancer surgery was identified. Results Of the 313 patients, 22 (7.0%) had postoperative complications. Of all the E

  15. Do Lung Cancer Eligibility Criteria Align with Risk among Blacks and Hispanics?

    Directory of Open Access Journals (Sweden)

    Kevin Fiscella

    Full Text Available Black patients have higher lung cancer risk despite lower pack years of smoking. We assessed lung cancer risk by race, ethnicity, and sex among a nationally representative population eligible for lung cancer screening based on Medicare criteria.We used data from the National Health and Nutrition Examination Survey, 2007-2012 to assess lung cancer risk by sex, race and ethnicity among persons satisfying Medicare age and pack-year smoking eligibility criteria for lung cancer screening. We assessed Medicare eligibility based on age (55-77 years and pack-years (≥ 30. We assessed 6-year lung cancer risk using a risk prediction model from Prostate, Lung, Colorectal and Ovarian Cancer Screening trial that was modified in 2012 (PLCOm2012. We compared the proportions of eligible persons by sex, race and ethnicity using Medicare criteria with a risk cut-point that was adjusted to achieve comparable total number of persons eligible for screening.Among the 29.7 million persons aged 55-77 years who ever smoked, we found that 7.3 million (24.5% were eligible for lung cancer screening under Medicare criteria. Among those eligible, Blacks had statistically significant higher (4.4% and Hispanics lower lung cancer risk (1.2% than non-Hispanic Whites (3.2%. At a cut-point of 2.12% risk for lung screening eligibility, the percentage of Blacks and Hispanics showed statistically significant changes. Blacks eligible rose by 48% and Hispanics eligible declined by 63%. Black men and Hispanic women were affected the most. There was little change in eligibility among Whites.Medicare eligibility criteria for lung cancer screening do not align with estimated risk for lung cancer among Blacks and Hispanics. Data are urgently needed to determine whether use of risk-based eligibility screening improves lung cancer outcomes among minority patients.

  16. A method to predict breast cancer stage using Medicare claims

    OpenAIRE

    Smith, Grace L.; Shih, Ya-Chen T.; Giordano, Sharon H.; Smith, Benjamin D.; Buchholz, Thomas A.

    2010-01-01

    Background In epidemiologic studies, cancer stage is an important predictor of outcomes. However, cancer stage is typically unavailable in medical insurance claims datasets, thus limiting the usefulness of such data for epidemiologic studies. Therefore, we sought to develop an algorithm to predict cancer stage based on covariates available from claims-based data. Methods We identified a cohort of 77,306 women age ≥ 66 years with stage I-IV breast cancer, using the Surveillence Epidemiology an...

  17. Factors That Predict Persistent Smoking of Cancer Survivors

    OpenAIRE

    Kim, Hyoeun; Kim, Mi-Hyun; Park, Yong-Soon; Shin, Jin Young; Song, Yun-Mi

    2015-01-01

    We conducted this cross-sectional study to elucidate factors that predict persistent smoking of the Korean cancer survivors. The subjects were 130 adult (≥19 yr old) cancer survivors who were smokers at the diagnosis of cancer and have participated in the Korean National Health and Nutrition Examination Surveys conducted from 2007 to 2011. We categorized them into the persistent smokers and the quitters, according to change in smoking status between the time of cancer diagnosis and the time o...

  18. Molecular Markers for Breast Cancer: Prediction on Tumor Behavior

    OpenAIRE

    Bruna Karina Banin Hirata; Julie Massayo Maeda Oda; Roberta Losi Guembarovski; Carolina Batista Ariza; Carlos Eduardo Coral de Oliveira; Maria Angelica Ehara Watanabe

    2014-01-01

    Breast cancer is one of the most common cancers with greater than 1,300,000 cases and 450,000 deaths each year worldwide. The development of breast cancer involves a progression through intermediate stages until the invasive carcinoma and finally into metastatic disease. Given the variability in clinical progression, the identification of markers that could predict the tumor behavior is particularly important in breast cancer. The determination of tumor markers is a useful tool for clinical m...

  19. Perceived risk for cancer in an urban sexual minority

    Science.gov (United States)

    Hay, Jennifer L.; Coups, Elliot; Warren, Barbara; Li, Yuelin; Ostroff, Jamie S.

    2013-01-01

    Lesbians, gay men, and bisexuals are a sexual minority experiencing elevated cancer risk factors and health disaparites, e.g., elevated tobacco use, disproportionate rates of infection with human immunodeficiency virus. Little attention has been paid to cancer prevention, education, and control in sexual minorities. This study describes cancer risk perceptions and their correlates so as to generate testable hypotheses and provide a foundation for targeting cancer prevention and risk reduction efforts in this high risk population. A cross-sectional survey of affiliates of a large urban community center serving sexual minority persons yielded a study sample of 247 anonymous persons. The survey assessed demographics, absolute perceived cancer risk, cancer risk behaviors, desired lifestyle changes to reduce cancer risk, and psychosocial variables including stress, depression, and stigma. Univariate and multivariate nonparametric statistics were used for analyses. The sample was primarily white non-Hispanic, middle-aged, and > 80% had at least a high school education. Mean values for absolute perceived cancer risk (range 0–100% risk), were 43.0 (SD = 25.4) for females, and for males, 49.3 (SD = 24.3). For females, although the multivariate regression model for absolute perceived cancer risk was statistically significant (P < .05), no single model variable was significant. For men, the multivariate regression model was significant (P < .001), with endorsement of “don't smoke/quit smoking” to reduce personal cancer risk (P < .001), and greater number of sexual partners (P = .054), positively associated with absolute perceived risk for cancer. This study provides novel data on cancer risk perceptions in sexual minorities, identifying correlates of absolute perceived cancer risk for each gender and several potential foci for cancer prevention interventions with this at-risk group. PMID:20872174

  20. Blood Type Influences Pancreatic Cancer Risk | Division of Cancer Prevention

    Science.gov (United States)

    A variation in the gene that determines ABO blood type influences the risk of pancreatic cancer, according to the results of the first genome-wide association study (GWAS) for this highly lethal disease. The genetic variation, a single nucleotide polymorphism (SNP), was discovered in a region of chromosome 9 that harbors the gene that determines blood type, the researchers reported August 2 online in Nature Genetics. |

  1. Characterizing genetic syndromes involved in cancer and radiogenic cancer risk

    International Nuclear Information System (INIS)

    The COG project 2806A (1995), reviewed the On-line Mendelian Inheritance in Man (OMIM) database of genetic syndromes to identify those syndromes, genes, and DNA sequences implicated in some way in the cancer process, and especially in radiogenic cancer risk. The current report describes a recent update of the survey in light of two years of further progress in the Human Genome project, and is intended to supply a comprehensive list of those genetic syndromes, genes, DNA sequences and map locations that define genes likely to be involved in cancer risk. Of the 8203 syndromes in OMIM in 1997 June, 814 are associated, even if marginally, with cancer. Of the 814 syndromes so linked, 672 have been mapped to a chromosome, and 476 have been mapped to a chromosome and had a DNA sequence associated with their messenger RNA (or cDNA) sequences. In addition, 35 syndromes have sequences not associated with map locations, and the remaining 107 have neither been mapped nor sequenced. We supply the list of the various genetic syndromes sorted by chromosome location and by OMIM descriptor, together with all the associated but unmapped and unsequenced syndromes. (author)

  2. A novel risk score to predict cardiovascular disease risk in national populations (Globorisk)

    DEFF Research Database (Denmark)

    Hajifathalian, Kaveh; Ueda, Peter; Lu, Yuan;

    2015-01-01

    BACKGROUND: Treatment of cardiovascular risk factors based on disease risk depends on valid risk prediction equations. We aimed to develop, and apply in example countries, a risk prediction equation for cardiovascular disease (consisting here of coronary heart disease and stroke) that can be reca...

  3. Inhalation cancer risk assessment of cobalt metal.

    Science.gov (United States)

    Suh, Mina; Thompson, Chad M; Brorby, Gregory P; Mittal, Liz; Proctor, Deborah M

    2016-08-01

    Cobalt compounds (metal, salts, hard metals, oxides, and alloys) are used widely in various industrial, medical and military applications. Chronic inhalation exposure to cobalt metal and cobalt sulfate has caused lung cancer in rats and mice, as well as systemic tumors in rats. Cobalt compounds are listed as probable or possible human carcinogens by some agencies, and there is a need for quantitative cancer toxicity criteria. The U.S. Environmental Protection Agency has derived a provisional inhalation unit risk (IUR) of 0.009 per μg/m(3) based on a chronic inhalation study of soluble cobalt sulfate heptahydrate; however, a recent 2-year cancer bioassay affords the opportunity to derive IURs specifically for cobalt metal. The mechanistic data support that the carcinogenic mode of action (MOA) is likely to involve oxidative stress, and thus, non-linear/threshold mechanisms. However, the lack of a detailed MOA and use of high, toxic exposure concentrations in the bioassay (≥1.25 mg/m(3)) preclude derivation of a reference concentration (RfC) protective of cancer. Several analyses resulted in an IUR of 0.003 per μg/m(3) for cobalt metal, which is ∼3-fold less potent than the provisional IUR. Future research should focus on establishing the exposure-response for key precursor events to improve cobalt metal risk assessment. PMID:27177823

  4. Deletion of Chromosome 4q Predicts Outcome in Stage II Colon Cancer Patients

    Directory of Open Access Journals (Sweden)

    R. P. M. Brosens

    2010-01-01

    Full Text Available Background: Around 30% of all stage II colon cancer patients will relapse and die of their disease. At present no objective parameters to identify high-risk stage II colon cancer patients, who will benefit from adjuvant chemotherapy, have been established. With traditional histopathological features definition of high-risk stage II colon cancer patients is inaccurate. Therefore more objective and robust markers for prediction of relapse are needed. DNA copy number aberrations have proven to be robust prognostic markers, but have not yet been investigated for this specific group of patients. The aim of the present study was to identify chromosomal aberrations that can predict relapse of tumor in patients with stage II colon cancer.

  5. Dietary intake and urinary level of cadmium and breast cancer risk: A meta-analysis.

    Science.gov (United States)

    Lin, Jinbo; Zhang, Fang; Lei, Yixiong

    2016-06-01

    Cadmium, a human carcinogenic heavy metal, has been reported to be associated with breast cancer risk; however, the results from the epidemiological studies are not always consistent. The objective of this study was to quantitatively summarize the current evidence for the relationship between cadmium exposure and breast cancer risk using meta-analysis methods. Six studies determining the dietary cadmium intake level and five studies evaluating the urinary cadmium level were identified in a systematic search of MEDLINE and PubMed databases, and the associations between these levels and breast cancer risk were analysed. The pooled estimates under the random-effects model suggested that higher urinary cadmium levels were associated with an increased risk for breast cancer (highest versus lowest quantile, pooled odds ratio [OR]=2.24, 95% confidence interval [95%CI]=1.49-3.35) and a 1μg/g creatinine increase in urinary cadmium led to a 1.02-fold increment of breast cancer (pooled OR=2.02, 95%CI=1.34-3.03); however, pooled estimates for dietary cadmium intake found no significant association between cadmium exposure and breast cancer risk (highest versus lowest quantile, pooled relative risk [RR]=1.01, 95%CI=0.89-1.15). These results suggest that cadmium exposure may lead to an increased risk of breast cancer, and urinary cadmium levels can serve as a reliable biomarker for long-term cadmium exposure and may predict the breast cancer risk.

  6. Low-risk factor profile, estrogen levels, and breast cancer risk among postmenopausal women

    DEFF Research Database (Denmark)

    Rod, Naja Hulvej; Hansen, Ase Marie; Nielsen, Jens;

    2008-01-01

    Obesity, alcohol consumption, physical inactivity and postmenopausal hormone use are known modifiable risk factors for breast cancer. We aim to measure incidence rates of breast cancer for women with favorable levels on all 4 risk factors (BMI...

  7. Cancer Risks in Aluminum Reduction Plant Workers

    Science.gov (United States)

    Labrèche, France

    2014-01-01

    Objective and Methods: This review examines epidemiological evidence relating to cancers in the primary aluminum industry where most of what is known relates to Söderberg operations or to mixed Söderberg/prebake operations. Results and Conclusions: Increased lung and bladder cancer risks have been reported in Söderberg workers from several countries, but not in all. After adjustment for smoking, these cancer risks still increase with cumulative exposure to benzo(a)pyrene, used as an index of coal tar pitch volatiles exposure. Limited evidence has been gathered in several cohorts for an increased risk of tumors at other sites, including stomach, pancreas, rectum/rectosigmoid junction, larynx, buccal cavity/pharynx, kidney, brain/nervous system, prostate, and lymphatic/hematopoietic tissues (in particular non-Hodgkin lymphoma, Hodgkin disease, and leukemia). Nevertheless, for most of these tumor sites, the relationship with specific exposures has not been demonstrated clearly and further follow-up of workers is warranted. PMID:24806725

  8. Patient factors may predict anastomotic complications after rectal cancer surgery

    Directory of Open Access Journals (Sweden)

    Dana M. Hayden

    2015-03-01

    Conclusion: Our study identifies preoperative anemia as possible risk factor for anastomotic leak and neoadjuvant chemoradiation may lead to increased risk of complications overall. Further prospective studies will help to elucidate these findings as well as identify amenable factors that may decrease risk of anastomotic complications after rectal cancer surgery.

  9. Risk of thyroid cancer, brain cancer, and non-Hodgkin lymphoma after adult leukemia

    DEFF Research Database (Denmark)

    Nielsen, Sune F; Bojesen, Stig E; Birgens, Henrik S;

    2011-01-01

    Patients with childhood leukemia surviving into adulthood have elevated risk of developing thyroid cancer, brain cancer, and non-Hodgkin lymphoma (NHL); these risks cannot automatically be extrapolated to patients surviving adult leukemia. We tested whether survivors of adult leukemia...

  10. Finasteride Concentrations and Prostate Cancer Risk: Results from the Prostate Cancer Prevention Trial

    OpenAIRE

    Chau, Cindy H.; Price, Douglas K.; Cathee Till; Goodman, Phyllis J.; Xiaohong Chen; Leach, Robin J; Johnson-Pais, Teresa L.; Hsing, Ann W.; Ashraful Hoque; Tangen, Catherine M.; Lisa Chu; Parnes, Howard L.; Schenk, Jeannette M.; Reichardt, Juergen K. V.; Thompson, Ian M

    2015-01-01

    Objective In the Prostate Cancer Prevention Trial (PCPT), finasteride reduced the risk of prostate cancer by 25%, even though high-grade prostate cancer was more common in the finasteride group. However, it remains to be determined whether finasteride concentrations may affect prostate cancer risk. In this study, we examined the association between serum finasteride concentrations and the risk of prostate cancer in the treatment arm of the PCPT and determined factors involved in modifying dru...

  11. Molecular Markers with Predictive and Prognostic Relevance in Lung Cancer

    Directory of Open Access Journals (Sweden)

    Alphy Rose-James

    2012-01-01

    Full Text Available Lung cancer accounts for the majority of cancer-related deaths worldwide of which non-small-cell lung carcinoma alone takes a toll of around 85%. Platinum-based therapy is the stronghold for lung cancer at present. The discovery of various molecular alterations that underlie lung cancer has contributed to the development of specifically targeted therapies employing specific mutation inhibitors. Targeted chemotherapy based on molecular profiling has shown great promise in lung cancer treatment. Various molecular markers with predictive and prognostic significance in lung cancer have evolved as a result of advanced research. Testing of EGFR and Kras mutations is now a common practice among community oncologists, and more recently, ALK rearrangements have been added to this group. This paper discusses various predictive and prognostic markers that are being investigated and have shown significant relevance which can be exploited for targeted treatment in lung cancer.

  12. Screening for breast cancer in a high-risk series

    International Nuclear Information System (INIS)

    A unique cohort of women at increased risk of breast cancer because of prior X-ray treatment of acute mastitis and their selected high-risk siblings were offered periodic breast cancer screening including physical examination of the breasts, mammography, and thermography. Twelve breast cancers were detected when fewer than four would have been expected based on age-specific breast cancer detection rates from the National Cancer Institute/American Cancer Society Breast Cancer Demonstration Detection Projects. Mammography was positive in all cases but physical examination was positive in only three cases. Thermography was an unreliable indicator of disease. Given the concern over radiation-induced risk, use of low-dose technique and of criteria for participation that select women at high risk of breast cancer will maximize the benefit/risk ratio for mammography screening

  13. Risk factors for cancer mortality in the general population

    OpenAIRE

    Taghizadeh, Niloofar

    2015-01-01

    Cancer is a complex disease with many possible causes and is currently a major public health problem in the world. Cancer can occur in individuals of all ages; however the risk of cancer increases with age. It has been estimated that 90-95% of all types of cancer can be attributed to environmental and lifestyle risk factors, and hereditary cancers account for approximately 5-10% of all cancer cases. This thesis describes several potential risk factors for mortality due to most common types of...

  14. 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

  15. 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

  16. Prostate cancer risk stratification with magnetic resonance imaging.

    Science.gov (United States)

    Felker, Ely R; Margolis, Daniel J; Nassiri, Nima; Marks, Leonard S

    2016-07-01

    In recent years, multiparametric magnetic resonance imaging (mpMRI) has shown promise for prostate cancer (PCa) risk stratification. mpMRI, often followed by targeted biopsy, can be used to confirm low-grade disease before enrollment in active surveillance. In patients with intermediate or high-risk PCa, mpMRI can be used to inform surgical management. mpMRI has sensitivity of 44% to 87% for detection of clinically significant PCa and negative predictive value of 63% to 98% for exclusion of significant disease. In addition to tumor identification, mpMRI has also been shown to contribute significant incremental value to currently used clinical nomograms for predicting extraprostatic extension. In combination with conventional clinical criteria, accuracy of mpMRI for prediction of extraprostatic extension ranges from 92% to 94%, significantly higher than that achieved with clinical criteria alone. Supplemental sequences, such as diffusion-weighted imaging and dynamic contrast-enhanced imaging, allow quantitative evaluation of cancer-suspicious regions. Apparent diffusion coefficient appears to be an independent predictor of PCa aggressiveness. Addition of apparent diffusion coefficient to Epstein criteria may improve sensitivity for detection of significant PCa by as much as 16%. Limitations of mpMRI include variability in reporting, underestimation of PCa volume and failure to detect clinically significant disease in a small but significant number of cases. PMID:27040381

  17. What Are the Risk Factors for Kidney Cancer?

    Science.gov (United States)

    ... an oncocytoma , which is almost always benign (not cancer). Other risk factors Family history of kidney cancer People with a ... Back to top » Guide Topics What Is Kidney Cancer? Causes, Risk Factors, and Prevention Early Detection, Diagnosis, and Staging Treating ...

  18. Fruits and vegetables and the risk of epithelial cancer

    NARCIS (Netherlands)

    Jansen, M.C.J.F.

    2001-01-01

    In this thesis, prospective studies on fruit and vegetable consumption in relation to epithelial cancer risk were described. The main research question was whether higher intakes were related to lower risks of epithelial cancers, mainly of lung cancer.In the Seven Countries Study, at the population

  19. Predicting Lymph Node Metastasis in Endometrial Cancer Using Serum CA125 Combined with Immunohistochemical Markers PR and Ki67, and a Comparison with Other Prediction Models.

    Directory of Open Access Journals (Sweden)

    Bingyi Yang

    Full Text Available We aimed to evaluate the value of immunohistochemical markers and serum CA125 in predicting the risk of lymph node metastasis (LNM in women with endometrial cancer and to identify a low-risk group of LNM. The medical records of 370 patients with endometrial endometrioid adenocarcinoma who underwent surgical staging in the Obstetrics & Gynecology Hospital of Fudan University were collected and retrospectively reviewed. Immunohistochemical markers were screened. A model using serum cancer antigen 125 (CA125 level, the immunohistochemical markers progesterone receptor (PR and Ki67 was created for prediction of LNM. A predicted probability of 4% among these patients was defined as low risk. The developed model was externally validated in 200 patients from Shanghai Cancer Center. The efficiency of the model was compared with three other reported prediction models. Patients with serum CA125 50% and Ki67 < 40% in cancer lesion were defined as low risk for LNM. The model showed good discrimination with an area under the receiver operating characteristic curve of 0.82. The model classified 61.9% (229/370 of patients as being at low risk for LNM. Among these 229 patients, 6 patients (2.6% had LNM and the negative predictive value was 97.4% (223/229. The sensitivity and specificity of the model were 84.6% and 67.4% respectively. In the validation cohort, the model classified 59.5% (119/200 of patients as low-risk, 3 out of these 119 patients (2.5% has LNM. Our model showed a predictive power similar to those of two previously reported prediction models. The prediction model using serum CA125 and the immunohistochemical markers PR and Ki67 is useful to predict patients with a low risk of LNM and has the potential to provide valuable guidance to clinicians in the treatment of patients with endometrioid endometrial cancer.

  20. Replication of Prostate Cancer Risk Variants in a Danish Case-Control Association Study

    DEFF Research Database (Denmark)

    Bentzon, Diem Nguyen; Nyegaard, Mette; Børglum, Anders;

    2012-01-01

    Background: Prostate cancer is one of the main causes for cancer morbidity and mortality in Western countries. Recently, several single nucleotide polymorphisms (SNPs) associated with prostate cancer have been identified in genome-wide association studies and multiple variant models have been...... developed to predict prostate cancer risk. The association between genetic markers and clinico-pathological tumor variables has, however, been inconsistent. Methods and Materials: A total of 32 previously identified prostate cancer-associated risk SNPs were genotyped in 648 prostate cancer cases and 526 age......-matched controls. Family history was obtained by questionnaire. Age at diagnosis, clinical tumor variables including pre- and postoperative PSA, Gleason score, and T stage were obtained from prospectively collected clinical data (Aarhus Prostate Cancer Study). The SNPs were genotyped using Sequenom and Taqman...

  1. Long-term risk of gastrointestinal cancers in persons with gastric or duodenal ulcers.

    Science.gov (United States)

    Søgaard, Kirstine K; Farkas, Dóra K; Pedersen, Lars; Lund, Jennifer L; Thomsen, Reimar W; Sørensen, Henrik T

    2016-06-01

    Peptic ulcer predicts gastric cancer. It is controversial if peptic ulcers predict other gastrointestinal cancers, potentially related to Helicobacter pylori or shared lifestyle factors. We hypothesized that gastric and duodenal ulcers may have different impact on the risk of gastrointestinal cancers. In a nationwide cohort study using Danish medical databases 1994-2013, we quantified the risk of gastric and other gastrointestinal cancers among patients with duodenal ulcers (dominantly H. pylori-related) and gastric ulcers (dominantly lifestyle-related) compared with the general population. We started follow-up 1-year after ulcer diagnosis to avoid detection bias and calculated absolute risks of cancer and standardized incidence ratios (SIRs). We identified 54,565 patients with gastric ulcers and 38,576 patients with duodenal ulcers. Patient characteristics were similar in the two cohorts. The 1-5-year risk of any gastrointestinal cancer was slightly higher for gastric ulcers patients (2.1%) than for duodenal ulcers patients (2.0%), and SIRs were 1.38 (95% CI: 1.31-1.44) and 1.30 (95% CI: 1.23-1.37), respectively. The SIR of gastric cancer was higher among patients with gastric ulcer than duodenal ulcer (1.92 vs. 1.38), while the SIRs for other gastrointestinal cancers were similar (1.33 vs. 1.29). Compared with gastric ulcer patients, duodenal ulcer patients were at lower risk of smoking- and alcohol-related gastrointestinal cancers. The risk of nongastric gastrointestinal cancers is increased both for patients with gastric ulcers and with duodenal ulcers, but absolute risks are low. H. pylori may be less important for the development of nongastric gastrointestinal cancer than hypothesized. PMID:26923747

  2. Long-term risk of gastrointestinal cancers in persons with gastric or duodenal ulcers.

    Science.gov (United States)

    Søgaard, Kirstine K; Farkas, Dóra K; Pedersen, Lars; Lund, Jennifer L; Thomsen, Reimar W; Sørensen, Henrik T

    2016-06-01

    Peptic ulcer predicts gastric cancer. It is controversial if peptic ulcers predict other gastrointestinal cancers, potentially related to Helicobacter pylori or shared lifestyle factors. We hypothesized that gastric and duodenal ulcers may have different impact on the risk of gastrointestinal cancers. In a nationwide cohort study using Danish medical databases 1994-2013, we quantified the risk of gastric and other gastrointestinal cancers among patients with duodenal ulcers (dominantly H. pylori-related) and gastric ulcers (dominantly lifestyle-related) compared with the general population. We started follow-up 1-year after ulcer diagnosis to avoid detection bias and calculated absolute risks of cancer and standardized incidence ratios (SIRs). We identified 54,565 patients with gastric ulcers and 38,576 patients with duodenal ulcers. Patient characteristics were similar in the two cohorts. The 1-5-year risk of any gastrointestinal cancer was slightly higher for gastric ulcers patients (2.1%) than for duodenal ulcers patients (2.0%), and SIRs were 1.38 (95% CI: 1.31-1.44) and 1.30 (95% CI: 1.23-1.37), respectively. The SIR of gastric cancer was higher among patients with gastric ulcer than duodenal ulcer (1.92 vs. 1.38), while the SIRs for other gastrointestinal cancers were similar (1.33 vs. 1.29). Compared with gastric ulcer patients, duodenal ulcer patients were at lower risk of smoking- and alcohol-related gastrointestinal cancers. The risk of nongastric gastrointestinal cancers is increased both for patients with gastric ulcers and with duodenal ulcers, but absolute risks are low. H. pylori may be less important for the development of nongastric gastrointestinal cancer than hypothesized.

  3. Update on raloxifene: role in reducing the risk of invasive breast cancer in postmenopausal women

    Directory of Open Access Journals (Sweden)

    Vogel VG

    2011-10-01

    Full Text Available Victor G Vogel Cancer Institute, Geisinger Health System, Danville, PA, USA Abstract: Risk factors allow us to define women who are at increased lifetime risk for breast cancer, and the most important factor is age. Benign breast disease increases risk, and the most important histologies are atypical lobular or ductal hyperplasia and lobular carcinoma in situ. Family history of breast cancer among first-degree relatives (mother, sisters, daughters also increases risk. Quantitative measures of risk give accurate predictions of breast cancer incidence for groups of women but not for individual subjects. Multiple published, randomized controlled trials, which employed selective estrogen receptor (ER modulators (SERMs, have demonstrated consistent reductions of 35% or greater in the risk of ER-positive invasive and noninvasive breast cancer in postmenopausal women. Professional organizations in the US now recommend the use of SERMs to reduce the risk of breast cancer in high-risk, postmenopausal women. Raloxifene and tamoxifen reduce the risk of ER-positive invasive breast cancer with equal efficacy, but raloxifene is associated with a lower risk of thromboembolic disease, benign uterine conditions, and cataracts than tamoxifen in postmenopausal women. No evidence exists establishing whether a reduction in breast cancer risk from either agent translates into reduced breast cancer mortality. Overall quality of life is similar with raloxifene or tamoxifen, but the incidence of dyspareunia, weight gain, and musculoskeletal complaints is higher with raloxifene use, whereas vasomotor symptoms, bladder incontinence, gynecologic symptoms, and leg cramps were higher with tamoxifen use. Keywords: selective estrogen receptor modulators (SERMs, raloxifene, risk reduction, chemoprevention

  4. Factors Influencing Cancer Risk Perception in High Risk Populations: A Systematic Review

    OpenAIRE

    Tilburt Jon C; James Katherine M; Sinicrope Pamela S; Eton David T; Costello Brian A; Carey Jantey; Lane Melanie A; Ehlers Shawna L; Erwin Patricia J; Nowakowski Katherine E; Murad Mohammad H

    2011-01-01

    Abstract Background Patients at higher than average risk of heritable cancer may process risk information differently than the general population. However, little is known about clinical, demographic, or psychosocial predictors that may impact risk perception in these groups. The objective of this study was to characterize factors associated with perceived risk of developing cancer in groups at high risk for cancer based on genetics or family history. Methods We searched Ovid MEDLINE, Ovid Em...

  5. Breast cancer epidemiology according to recognized breast cancer risk factors in the Prostate, Lung, Colorectal and Ovarian (PLCO Cancer Screening Trial Cohort

    Directory of Open Access Journals (Sweden)

    Leitzmann Michael F

    2009-03-01

    Full Text Available Abstract Background Multidisciplinary attempts to understand the etiology of breast cancer are expanding to increasingly include new potential markers of disease risk. Those efforts may have maximal scientific and practical influence if new findings are placed in context of the well-understood lifestyle and reproductive risk factors or existing risk prediction models for breast cancer. We therefore evaluated known risk factors for breast cancer in a cancer screening trial that does not have breast cancer as a study endpoint but is large enough to provide numerous analytic opportunities for breast cancer. Methods We evaluated risk factors for breast cancer (N = 2085 among 70,575 women who were randomized in the Prostate, Lung, Colorectal and Ovarian Cancer Screening Trial. Using Poisson regression, we calculated adjusted relative risks [RRs, with 95% confidence intervals (CIs] for lifestyle and reproductive factors during an average of 5 years of follow-up from date of randomization. Results As expected, increasing age, nulliparity, positive family history of breast cancer, and use of menopausal hormone therapy were positively associated with breast cancer. Later age at menarche (16 years or older vs. 2 35 or more vs. 18.5–24.9: RR = 1.21, 95% CI, 1.02–1.43] was statistically significantly associated with breast cancer. Conclusion The ongoing PLCO trial offers continued opportunities for new breast cancer investigations, but these analyses suggest that the associations between breast cancer and age at menarche, age at menopause, and obesity might be changing as the underlying demographics of these factors change. Clinical Trials Registration http://www.clinicaltrials.gov, NCT00002540.

  6. Paper Highlight: Biomarker Identified for Predicting Early Prostate Cancer Aggressiveness — Site

    Science.gov (United States)

    A team led by Cory Abate-Shen, Michael Shen, and Andrea Califano at Columbia University found that measuring the expression levels of three genes associated with aging can be used to predict the aggressiveness of seemingly low-risk prostate cancer.

  7. Whole Grain Intake Reduces Pancreatic Cancer Risk

    Science.gov (United States)

    Lei, Qiucheng; Zheng, Huazhen; Bi, Jingcheng; Wang, Xinying; Jiang, Tingting; Gao, Xuejin; Tian, Feng; Xu, Min; Wu, Chao; Zhang, Li; Li, Ning; Li, Jieshou

    2016-01-01

    Abstract Mounting evidence from epidemiology studies suggests that whole grain intake may reduce pancreatic cancer risk, but convincing evidence is scarce. We conducted a meta-analysis to assess the association between whole grain intake and pancreatic cancer risk. Relevant observational studies were identified by searching PubMed, Embase, Scopus, and Cochrane library databases for the period from January 1980 to July 2015, with no restrictions. We calculated the summary odds ratios (ORs) for pancreatic cancer using random-effects model meta-analysis. Between-study heterogeneity was analyzed using the I2 statistic. A total of 8 studies regarding whole grain intake were included in the meta-analysis. The pooled OR of pancreatic cancer for those with high versus low whole grain intake was 0.76 (95% confidence interval [CI], 0.64–0.91; P = 0.002). There was no significant heterogeneity across these studies (I2 = 11.7%; Pheterogeneity = 0.339). In the subgroup analysis by geographic area, the summary ORs of developing pancreatic cancer were 0.64 (95% CI, 0.53–0.79; P < 0.001; I2 = 0%; Pheterogeneity = 0.482) in the United States (n = 4) and 0.95 (95% CI, 0.63–1.43; P = 0.803; I2 = 45.6%; Pheterogeneity = 0.175) in Europe (n = 2). In the subgroup analysis by type of whole grain, the summary ORs were 0.72 (95% CI, 0.60–0.87; P = .001; I2 = 0; Pheterogeneity = 0.876) for grains (n = 4) and 0.74 (95% CI, 0.27–2.02; P = 0.554; I2 = 86.3%; Pheterogeneity = 0.007) for wheat (n = 2). A high intake of whole grains was associated with a reduced risk of pancreatic cancer. Because of the absent of more cohort studies, further prospective studies need to be conducted to ensure conclusions that are more robust. PMID:26945361

  8. Short telomere length, cancer survival, and cancer risk in 47102 individuals

    DEFF Research Database (Denmark)

    Weischer, Maren; Nordestgaard, Børge G; Cawthon, Richard M;

    2013-01-01

    Recent meta-analyses have suggested that short telomere length was associated with increased risk of cancer. We therefore tested the hypotheses that short telomere length was associated with increased risk of cancer and with increased risk of early death after cancer....

  9. Genetic Risk Score Predicts Late-Life Cognitive Impairment

    Directory of Open Access Journals (Sweden)

    Mariegold E. Wollam

    2015-01-01

    Full Text Available Introduction. A family history of Alzheimer’s disease is a significant risk factor for its onset, but the genetic risk associated with possessing multiple risk alleles is still poorly understood. Methods. In a sample of 95 older adults (Mean age = 75.1, 64.2% female, we constructed a genetic risk score based on the accumulation of risk alleles in BDNF, COMT, and APOE. A neuropsychological evaluation and consensus determined cognitive status (44 nonimpaired, 51 impaired. Logistic regression was performed to determine whether the genetic risk score predicted cognitive impairment above and beyond that associated with each gene. Results. An increased genetic risk score was associated with a nearly 4-fold increased risk of cognitive impairment (OR = 3.824, P = .013 when including the individual gene polymorphisms as covariates in the model. Discussion. A risk score combining multiple genetic influences may be more useful in predicting late-life cognitive impairment than individual polymorphisms.

  10. Risk of thyroid cancer among Chernobyl liquidators

    International Nuclear Information System (INIS)

    Full text: While the increased risk of thyroid cancer is well demonstrated in people exposed to radioactive iodines in childhood and adolescence in the most contaminated areas around the Chernobyl power plant, following the accident which took place on 26 April 1986, the effect of exposure on adults remains unclear. A collaborative case-control study of thyroid cancer was set-up, nested within cohorts of Belarus, Russian and Baltic countries liquidators of the Chernobyl accident, to evaluate the radiation-induced risk of this disease among liquidators, and to assess the roles of screening and of radiation exposures in the observed increased thyroid cancer incidence among liquidators. The study population consisted of the cohorts of approximately 66,000 Belarus, 65,000 Russian and 15,000 Baltic countries liquidators who took part in the clean-up activities on the reactor site and in the 30-km zone around the Chernobyl nuclear power plant between 26 April 1986 and 31 December 1987. The liquidators were mainly exposed to external radiation, although substantial dose to the thyroid from iodine isotopes may have been received by liquidators who worked in May-June 1986 and by those who resided in the most contaminated territories of Belarus. Information was collected on study subjects by use of a standardized questionnaire that was administrated during a face-to-face interview with the study subject and/or a proxy (a relative or a colleague). The interview included questions on demographic factors, time, place and conditions of work as a liquidator and on potential risk and confounding factors for thyroid cancer. A method of analytical dose reconstruction, entitled RADRUE (Realistic Analytical Dose Reconstruction with Uncertainty Estimation) was developed within the study and applied to estimate individual doses to the thyroid from external radiation and related uncertainties for each subject. Approaches to derive individual thyroid dose estimates from inhaled and

  11. Establishing a family risk assessment clinic for breast cancer.

    LENUS (Irish Health Repository)

    Mulsow, Jurgen

    2012-02-01

    Breast cancer is the most common cancer affecting European women and the leading cause of cancer-related death. A total of 15-20% of women who develop breast cancer have a family history and 5-10% a true genetic predisposition. The identification and screening of women at increased risk may allow early detection of breast cancer and improve prognosis. We established a family risk assessment clinic in May 2005 to assess and counsel women with a family history of breast cancer, to initiate surveillance, and to offer risk-reducing strategies for selected high-risk patients. Patients at medium or high risk of developing breast cancer according to NICE guidelines were accepted. Family history was determined by structured questionnaire and interview. Lifetime risk of developing breast cancer was calculated using Claus and Tyrer-Cuzick scoring. Risk of carrying a breast cancer-related gene mutation was calculated using the Manchester system. One thousand two hundred and forty-three patients have been referred. Ninety-two percent were at medium or high risk of developing breast cancer. Formal assessment of risk has been performed in 368 patients, 73% have a high lifetime risk of developing breast cancer, and 72% a Manchester score >or=16. BRCA1\\/2 mutations have been identified in 14 patients and breast cancer diagnosed in two. Our initial experience of family risk assessment has shown there to be a significant demand for this service. Identification of patients at increased risk of developing breast cancer allows us to provide individuals with accurate risk profiles, and enables patients to make informed choices regarding their follow-up and management.

  12. Global Variance Risk Premium and Forex Return Predictability

    OpenAIRE

    Aloosh, Arash

    2014-01-01

    In a long-run risk model with stochastic volatility and frictionless markets, I express expected forex returns as a function of consumption growth variances and stock variance risk premiums (VRPs)—the difference between the risk-neutral and statistical expectations of market return variation. This provides a motivation for using the forward-looking information available in stock market volatility indices to predict forex returns. Empirically, I find that stock VRPs predict forex returns at a ...

  13. What Are the Risk Factors for Testicular Cancer?

    Science.gov (United States)

    ... Do we know what causes testicular cancer? Can testicular cancer be prevented? Previous Topic What are the key statistics about ... 2016 Back to top » Guide Topics What Is Testicular Cancer? Causes, Risk Factors, and Prevention Early Detection, Diagnosis, and Staging Treating Testicular Cancer ...

  14. Risk factors for cancer mortality in the general population

    NARCIS (Netherlands)

    Taghizadeh, Niloofar

    2015-01-01

    Cancer is a complex disease with many possible causes and is currently a major public health problem in the world. Cancer can occur in individuals of all ages; however the risk of cancer increases with age. It has been estimated that 90-95% of all types of cancer can be attributed to environmental a

  15. Prediction of breast cancer survival through knowledge discovery in databases.

    Science.gov (United States)

    Lotfnezhad Afshar, Hadi; Ahmadi, Maryam; Roudbari, Masoud; Sadoughi, Farahnaz

    2015-01-26

    The collection of large volumes of medical data has offered an opportunity to develop prediction models for survival by the medical research community. Medical researchers who seek to discover and extract hidden patterns and relationships among large number of variables use knowledge discovery in databases (KDD) to predict the outcome of a disease. The study was conducted to develop predictive models and discover relationships between certain predictor variables and survival in the context of breast cancer. This study is Cross sectional. After data preparation, data of 22,763 female patients, mean age 59.4 years, stored in the Surveillance Epidemiology and End Results (SEER) breast cancer dataset were analyzed anonymously. IBM SPSS Statistics 16, Access 2003 and Excel 2003 were used in the data preparation and IBM SPSS Modeler 14.2 was used in the model design. Support Vector Machine (SVM) model outperformed other models in the prediction of breast cancer survival. Analysis showed SVM model detected ten important predictor variables contributing mostly to prediction of breast cancer survival. Among important variables, behavior of tumor as the most important variable and stage of malignancy as the least important variable were identified. In current study, applying of the knowledge discovery method in the breast cancer dataset predicted the survival condition of breast cancer patients with high confidence and identified the most important variables participating in breast cancer survival.

  16. Colorectal cancer risk in hamartomatous polyposis syndromes

    Science.gov (United States)

    Campos, Fábio Guilherme; Figueiredo, Marleny Novaes; Martinez, Carlos Augusto Real

    2015-01-01

    Colorectal cancer (CRC) is a major cause of morbidity and mortality around the world, and approximately 5% of them develop in a context of inherited mutations leading to some form of familial colon cancer syndromes. Recognition and characterization of these patients have contributed to elucidate the genetic basis of CRC. Polyposis Syndromes may be categorized by the predominant histological structure found within the polyps. The aim of the present paper is to review the most important clinical features of the Hamartomatous Polyposis Syndromes, a rare group of genetic disorders formed by the peutz-Jeghers syndrome, juvenil polyposis syndrome and PTEN Hamartoma Tumor Syndrome (Bannayan-Riley-Ruvalacaba and Cowden Syndromes). A literature search was performed in order to retrieve the most recent and important papers (articles, reviews, clinical cases and clinical guidelines) regarding the studied subject. We searched for terms such as “hamartomatous polyposis syndromes”, “Peutz-Jeghers syndrome”, “juvenile polyposis syndrome”, “juvenile polyp”, and “PTEN hamartoma tumour syndrome” (Cowden syndrome, Bananyan-Riley-Ruvalcaba). The present article reports the wide spectrum of disease severity and extraintestinal manifestations, with a special focus on their potential to develop colorectal and other neoplasia. In the literature, the reported colorectal cancer risk for Juvenile Polyposis, Peutz-Jeghers and PTEN Hamartoma Tumor Syndromes are 39%-68%, 39%-57% and 18%, respectively. A review regarding cancer surveillance recommendations is also presented. PMID:25848489

  17. Lifetime and 5 years risk of breast cancer and attributable risk factor according to Gail model in Iranian women

    Directory of Open Access Journals (Sweden)

    Abolfazl Mohammadbeigi

    2015-01-01

    Full Text Available Introduction: Breast cancer is the most commonly diagnosed cancers in women worldwide and in Iran. It is expected to account for 29% of all new cancers in women at 2015. This study aimed to assess the 5 years and lifetime risk of breast cancer according to Gail model, and to evaluate the effect of other additional risk factors on the Gail risk. Materials and Methods: A cross sectional study conducted on 296 women aged more than 34-year-old in Qom, Center of Iran. Breast Cancer Risk Assessment Tool calculated the Gail risk for each subject. Data were analyzed by paired t-test, independent t-test, and analysis of variance in bivariate approach to evaluate the effect of each factor on Gail risk. Multiple linear regression models with stepwise method were used to predict the effect of each variable on the Gail risk. Results: The mean age of the participants was 47.8 ± 8.8-year-old and 47% have Fars ethnicity. The 5 years and lifetime risk was 0.37 ± 0.18 and 4.48 ± 0.925%, respectively. It was lower than the average risk in same race and age women (P < 0.001. Being single, positive family history of breast cancer, positive history of biopsy, and radiotherapy as well as using nonhormonal contraceptives were related to higher lifetime risk (P < 0.05. Moreover, a significant direct correlation observed between lifetime risk and body mass index, age of first live birth, and menarche age. While an inversely correlation observed between lifetimes risk of breast cancer and total month of breast feeding duration and age. Conclusion: Based on our results, the 5 years and lifetime risk of breast cancer according to Gail model was lower than the same race and age. Moreover, by comparison with national epidemiologic indicators about morbidity and mortality of breast cancer, it seems that the Gail model overestimate the risk of breast cancer in Iranian women.

  18. Measuring, and identifying predictors of, women's perceptions of three types of breast cancer risk: population risk, absolute risk and comparative risk

    OpenAIRE

    Apicella, C.; Peacock, S.J.; Andrews, L.; Tucker, K.; Daly, M B; Hopper, J L

    2009-01-01

    Although a key function of cancer genetics services is to provide risk information, to date there has been little consistency in the way in which breast cancer risk perception has been measured. The aims of the study were to measure estimates of (i) population risk, (ii) absolute risk and (iii) comparative risk of developing breast cancer for Ashkenazi Jewish women, and to determine predictors of breast cancer risk perception. Of 152 women, 107 (70%) completed all questions. The mean (s.d.) e...

  19. Occupational exposures and risk of pancreatic cancer.

    Science.gov (United States)

    Santibañez, Miguel; Vioque, Jesús; Alguacil, Juan; de la Hera, Manuela García; Moreno-Osset, Eduardo; Carrato, Alfredo; Porta, Miquel; Kauppinen, Timo

    2010-10-01

    The objective was to analyze the relationship between occupation (and specific occupational exposures) and risk of exocrine pancreatic cancer (EPC). We conducted a multicenter hospital-based case-control study in Eastern Spain. We included 161 incident cases of EPC (59.6% men, 94 with histological confirmation, of whom 80% had ductal adenocarcinoma). Cases were frequency-matched with 455 controls by sex, age and province of residence. Information was elicited using structured questionnaires. Occupations were coded according to the Spanish version of the International Standard Classification of Occupations 1988. Occupational exposure to a selection of carcinogenic substances was assessed with the Finnish Job-Exposure Matrix (FINJEM). Odds ratios (OR) and 95% confidence intervals (CI) were estimated by multiple logistic regression, adjusting for sex, age, province, education, alcohol and smoking. A higher risk of EPC was associated with having worked as 'Miners, shotfirers, stone cutters and carvers', 'Machinery mechanics and fitters', 'Building trades workers' and 'Motor vehicle drivers' in men, 'Office Clerks' in women, and 'Waiters' in both sexes. Cases with ductal adenocarcinomas were more likely to have been exposed to chlorinated hydrocarbon solvents (OR = 4.1, 95% CI: 1.1-15.2, p-trend = 0.04). We also observed significant associations with exposure to 'synthetic polymer dust exposure' and 'ionizing radiation'. Suggestive increases in risk were observed for 'pesticides', 'diesel and gasoline engine exhaust', and 'hydrocarbon solvents'. Results support the hypothesis that occupational exposure to chlorinated hydrocarbon solvents is associated with exocrine pancreatic cancer.

  20. Occupational exposures and risk of pancreatic cancer

    International Nuclear Information System (INIS)

    The objective was to analyze the relationship between occupation (and specific occupational exposures) and risk of exocrine pancreatic cancer (EPC). We conducted a multicenter hospital-based case-control study in Eastern Spain. We included 161 incident cases of EPC (59.6% men, 94 with histological confirmation, of whom 80% had ductal adenocarcinoma). Cases were frequency-matched with 455 controls by sex, age and province of residence. Information was elicited using structured questionnaires. Occupations were coded according to the Spanish version of the International Standard Classification of Occupations 1988. Occupational exposure to a selection of carcinogenic substances was assessed with the Finnish Job-Exposure Matrix (FINJEM). Odds ratios (OR) and 95% confidence intervals (CI) were estimated by multiple logistic regression, adjusting for sex, age, province, education, alcohol and smoking. A higher risk of EPC was associated with having worked as 'Miners, shotfirers, stone cutters and carvers', 'Machinery mechanics and fitters', 'Building trades workers' and 'Motor vehicle drivers' in men, 'Office Clerks' in women, and 'Waiters' in both sexes. Cases with ductal adenocarcinomas were more likely to have been exposed to chlorinated hydrocarbon solvents (OR = 4.1, 95% CI: 1.1-15.2, p-trend = 0.04). We also observed significant associations with exposure to 'synthetic polymer dust exposure' and 'ionizing radiation'. Suggestive increases in risk were observed for 'pesticides', 'diesel and gasoline engine exhaust', and 'hydrocarbon solvents'. Results support the hypothesis that occupational exposure to chlorinated hydrocarbon solvents is associated with exocrine pancreatic cancer.

  1. Exploring perceptions of cancer risk, neighborhood environmental risks, and health behaviors of blacks.

    Science.gov (United States)

    Rice, LaShanta J; Brandt, Heather M; Hardin, James W; Ingram, Lucy Annang; Wilson, Sacoby M

    2015-06-01

    Cancer risk perceptions and cancer worry are shaped by race/ethnicity, and social, economic, and environmental factors, which in turn shape health decision-making. A paucity of studies has explored risk perceptions and worry in metropolitan areas with disparate environmental conditions and cancer outcomes. This study examined perceptions of cancer risk, neighborhood environmental health risks, and risk-reducing health behaviors among Blacks. A 59-item survey was administered to respondents in Metropolitan Charleston, South Carolina from March to September 2013. A convenience sample of males and females was recruited at local venues and community events. Descriptive statistics, bivariate analyses (Chi square tests), and logistic regression models were estimated using SAS 9.3 software. Respondents (N = 405) were 100% Black, 81% female (n = 323), and ranged from 18 to 87 years of age (M = 49.55, SD = 15.27). Most respondents reported lower perceptions of cancer risk (37%) and equated their cancer beliefs to direct or indirect (i.e. personal or family) experiences. Low perceived cancer risk (absolute risk) was significantly associated (p diet, non-alcohol consumption, and having any colon cancer screening test. Perceived cancer risk is an important indicator of health behaviors among Blacks. Direct or indirect experiences with cancer and/or the environment and awareness of family history of cancer may explain cancer risk perceptions. PMID:25315713

  2. What Are the Risk Factors for Bile Duct Cancer?

    Science.gov (United States)

    ... What are the risk factors for bile duct cancer? A risk factor is anything that affects your chance of getting ... to top » Guide Topics What Is Bile Duct Cancer? Causes, Risk Factors, and Prevention Early Detection, Diagnosis, and Staging Treating ...

  3. Childhood height, adult height, and the risk of prostate cancer

    DEFF Research Database (Denmark)

    Bjerregaard, Lise Geisler; Aarestrup, Julie; Gamborg, Michael;

    2016-01-01

    PURPOSE: We previously showed that childhood height is positively associated with prostate cancer risk. It is, however, unknown whether childhood height exerts its effects independently of or through adult height. We investigated whether and to what extent childhood height has a direct effect...... on the risk of prostate cancer apart from adult height. METHODS: We included 5,871 men with height measured at ages 7 and 13 years in the Copenhagen School Health Records Register who also had adult (50-65 years) height measured in the Danish Diet, Cancer and Health study. Prostate cancer status was obtained...... through linkage to the Danish Cancer Registry. Direct and total effects of childhood height on prostate cancer risk were estimated from Cox regressions. RESULTS: From 1996 to 2012, 429 prostate cancers occurred. Child and adult heights were positively and significantly associated with prostate cancer risk...

  4. Risk of cancer among women with polycystic ovary syndrome

    DEFF Research Database (Denmark)

    Gottschau, Mathilde; Kjaer, Susanne Krüger; Jensen, Allan;

    2015-01-01

    1977-2012. Using the Danish Cancer Registry, we followed the cohort through 2012 and compared the women's cancer incidence with that of the general Danish female population by means of standardized incidence ratios (SIRs). RESULTS: Cancer was diagnosed in 279 women with PCOS (SIR = 1.19; 95% CI = 1...... cancer (N = 10, SIR = 1.8; 95% CI = 0.8-3.2); however, significantly increased risks were found for kidney, colon and brain cancers. CONCLUSION: The results of this large cohort study support those of case-control studies showing that women with PCOS are at increased risk for endometrial cancer, whereas...... their risks for breast and ovarian cancer are similar to those of women in the general population. Our finding that women with PCOS also are at increased risk for cancers of the kidney, colon and brain requires further study....

  5. Plasma Cysteinylglycine Levels and Breast Cancer Risk in Women

    Science.gov (United States)

    Cysteinylglycine, a prooxidant generated during the catabolism of glutathione, has been suggested to induce oxidative stress and lipid peroxidation, leading to the development of human cancers. Observational data relating cysteinylglycine status to breast cancer risk are lacking. We prospectively ev...

  6. Non-linearity between dose and cancer risk for internally deposited alpha emitters in animals

    International Nuclear Information System (INIS)

    The risk of cancer in experimental animals exposed to low doses and dose rates of internally deposited alpha emitting radionuclides was analyzed in 27 animal experiments comprising 78 groups exposed to specific dose levels (dose groups). In these experiments, 3041 animals were exposed to eight different alpha emitters, by injection or by inhalation. Radiation doses ranged from about 60 mGy to more than 7 Gy. There were 1655 control animals. The target organs were the lung and the skeleton. The cancer incidence in exposed groups was compared to that predicted by the Linear No-Threshold Hypothesis (LNTH). In the 3041 exposed animals, 49 cancers were observed, against 83 predicted by the LNTHT. The LNTH appears to be a reliable risk predictor in 11 of the 78 dose groups, but it overestimates the risk in the 67 other dose groups (71 predicted cases, 8 cases observed). No cancer was observed in 53 dose groups, when 23 were predicted by the LNTH. In these 53 dose groups, the probability of not observing a single case of cancer was extremely small. These observations led to the conclusion that, at least in the case of alpha emitters with long physical and biological half-lives, the LNTH is not a good predictor of the risk of cancer. (author)

  7. Occupational risk factors for female breast cancer: a review.

    OpenAIRE

    Goldberg, M S; Labrèche, F

    1996-01-01

    OBJECTIVES: Although progress has been made in identifying personal risk factors and in improving treatment for female breast cancer, incidence rates continue to increase. With women now occupying a sizable fraction of the workforce, it is worth inquiring whether there are occupational risk factors for breast cancer. This is a review of occupational studies on female breast cancer. METHODS: Suitable reports and published articles with associations of female breast cancer and occupation were i...

  8. Use of analgesic drugs and risk of ovarian cancer

    DEFF Research Database (Denmark)

    Ammundsen, Henriette B; Faber, Mette T; Jensen, Allan;

    2012-01-01

    The role of analgesic drug use in development of ovarian cancer is not fully understood. We examined the association between analgesic use and risk of ovarian cancer. In addition, we examined whether the association differed according to histological types.......The role of analgesic drug use in development of ovarian cancer is not fully understood. We examined the association between analgesic use and risk of ovarian cancer. In addition, we examined whether the association differed according to histological types....

  9. LIFESTYLE AS RISK FACTOR FOR CANCER: EVIDENCE FROM HUMAN STUDIES

    OpenAIRE

    Khan, Naghma; Afaq, Farrukh; Mukhtar, Hasan

    2010-01-01

    It is increasingly appreciated that the chances of developing cancer are significantly affected by the choice of our lifestyle. There are several uncontrollable risk factors which account for the majority of cancers, but we can modify our lifestyle to reduce enhanced threat of cancer. Healthy lifestyle behaviors for cancer risk reduction include a healthy diet, weight management, regular exercise, reduction in alcohol consumption and smoking cessation. In this article, we present evidences on...

  10. Quality of Life Factor as Breast Cancer Risks

    OpenAIRE

    Gledo, Ibrahim; Pranjic, Nurka; Parsko, Subhija

    2012-01-01

    Background: Numerous studies have observed risk factors for breast cancer. We investigated the association between quality life factors as breast cancer risks in a case-control study in industrial Zenica- Doboj Canton in Bosnia and Herzegovina. Methods: The case-control study was included 200 women, 100 without (control subjects) and 100 women with diagnosed breast cancer. We used questionnaires about breast cancer risks“ as study tool. Logistic regression was used to compute odds ratios (ORs...

  11. Vitamin supplement consumption and breast cancer risk: a review

    OpenAIRE

    Misotti, Alessandro M; Gnagnarella, Patrizia

    2013-01-01

    Background: Breast cancer is the most frequently diagnosed cancer globally, and studies provide contradictory results about the possible effects of vitamin supplementation to reduce cancer risk. Our aim was to conduct a review to better investigate whether vitamin supplements given orally modify breast cancer risk. Methods: We conducted a comprehensive, systematic bibliographic search of the medical literature to identify relevant studies. Case-control, cohort studies, and randomised controll...

  12. Impact of preventive therapy on the risk of breast cancer among women with benign breast disease.

    Science.gov (United States)

    Cuzick, Jack; Sestak, Ivana; Thorat, Mangesh A

    2015-11-01

    There are three main ways in which women can be identified as being at high risk of breast cancer i) family history of breast and/or ovarian cancer, which includes genetic factors ii) mammographically identified high breast density, and iii) certain types of benign breast disease. The last category is the least common, but in some ways the easiest one for which treatment can be offered, because these women have already entered into the treatment system. The highest risk is seen in women with lobular carcinoma in situ (LCIS), but this is very rare. More common is atypical hyperplasia (AH), which carries a 4-5-fold risk of breast cancer as compared to general population. Even more common is hyperplasia of the usual type and carries a roughly two-fold increased risk. Women with aspirated cysts are also at increased risk of subsequent breast cancer. Tamoxifen has been shown to be particularly effective in preventing subsequent breast cancer in women with AH, with a more than 70% reduction in the P1 trial and a 60% reduction in IBIS-I. The aromatase inhibitors (AIs) also are highly effective for AH and LCIS. There are no published data on the effectiveness of tamoxifen or the AIs for breast cancer prevention in women with hyperplasia of the usual type, or for women with aspirated cysts. Improving diagnostic consistency, breast cancer risk prediction and education of physicians and patients regarding therapeutic prevention in women with benign breast disease may strengthen breast cancer prevention efforts.

  13. A risk management model for familial breast cancer: A new application using Fuzzy Cognitive Map method.

    Science.gov (United States)

    Papageorgiou, Elpiniki I; Jayashree Subramanian; Karmegam, Akila; Papandrianos, Nikolaos

    2015-11-01

    Breast cancer is the most deadly disease affecting women and thus it is natural for women aged 40-49 years (who have a family history of breast cancer or other related cancers) to assess their personal risk for developing familial breast cancer (FBC). Besides, as each individual woman possesses different levels of risk of developing breast cancer depending on their family history, genetic predispositions and personal medical history, individualized care setting mechanism needs to be identified so that appropriate risk assessment, counseling, screening, and prevention options can be determined by the health care professionals. The presented work aims at developing a soft computing based medical decision support system using Fuzzy Cognitive Map (FCM) that assists health care professionals in deciding the individualized care setting mechanisms based on the FBC risk level of the given women. The FCM based FBC risk management system uses NHL to learn causal weights from 40 patient records and achieves a 95% diagnostic accuracy. The results obtained from the proposed model are in concurrence with the comprehensive risk evaluation tool based on Tyrer-Cuzick model for 38/40 patient cases (95%). Besides, the proposed model identifies high risk women by calculating higher accuracy of prediction than the standard Gail and NSAPB models. The testing accuracy of the proposed model using 10-fold cross validation technique outperforms other standard machine learning based inference engines as well as previous FCM-based risk prediction methods for BC. PMID:26220142

  14. Predictive factors for lymph node metastasis in early gastric cancer

    Institute of Scientific and Technical Information of China (English)

    Chang-Mu; Sung; Chen-Ming; Hsu; Jun-Te; Hsu; Ta-Sen; Yeh; Chun-Jung; Lin; Tse-Ching; Chen; Cheng-Tang; Chiu

    2010-01-01

    AIM: To analyze the predictive factors for lymph node metastasis (LNM) in early gastric cancer (EGC). METHODS: Data from patients surgically treated for gastric cancers between January 1994 and December 2007 were retrospectively collected. Clinicopathological factors were analyzed to identify predictive factors for LNM. RESULTS: Of the 2936 patients who underwent gas-trectomy and lymph node dissection, 556 were diag-nosed with EGC and included in this study. Among these, 4.1% of patients had mucosal tumors ...

  15. 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.

  16. Prediction of bleeding and prophylactic platelet transfusions in cancer patients with thrombocytopenia

    DEFF Research Database (Denmark)

    Vinholt, Pernille J; Alnor, Anne; Nybo, Mads;

    2016-01-01

    platelet transfusion within 30 days were registered. Of 197 patients enrolled, 56 (28%) experienced bleeding. In multivariate analyses, predictors of bleeding were infection (adjusted odds ratio (OR) = 2.65 and 95% confidence interval (95% CI) 1.04-6.74); treatment with platelet inhibitors, heparin...... platelet transfusion but not bleeding. Bleeding risk factors were previous haematuria or gastrointestinal bleeding, infection, antiplatelet or anticoagulant treatment, high urea nitrogen, low haemoglobin or high creatinine.......Studies on markers for bleeding risk among thrombocytopenic cancer patients are lacking. This prospective observational cohort study investigated whether platelet parameters and a standardised bleeding questionnaire predicted bleeding or prophylactic platelet transfusions in patients with cancer...

  17. Moving Forward in Human Cancer Risk Assessment

    OpenAIRE

    Paules, Richard S.; Aubrecht, Jiri; Corvi, Raffaella; Garthoff, Bernward; Kleinjans, Jos C.

    2010-01-01

    Background The current safety paradigm for assessing carcinogenic properties of drugs, cosmetics, industrial chemicals, and environmental exposures relies mainly on in vitro genotoxicity testing followed by 2-year rodent bioassays. This testing battery is extremely sensitive but has low specificity. Furthermore, rodent bioassays are associated with high costs, high animal burden, and limited predictive value for human risks. Objectives We provide a response to a growing appeal for a paradigm ...

  18. Reproductive Risk Factors for Breast Cancer: A Case Control Study

    OpenAIRE

    Meshram II; Hiwarkar PA; Kulkarni PN

    2009-01-01

    Background: Breast cancer is second most important cancer among Indian women. Although risk factors are not much prevalent as in western countries, incidence rate is increasing in India. The study was undertaken to study various risk factors associated with breast cancer. Methods: A hospital based group matched case control study was undertaken to identify risk factors. The study consisted of 105 hospitalized cases confirmed on histopathology and 210 group matched controls selected from urban...

  19. CORRELATION OF RISK FACTORS WITH HPE GRADING IN BREAST CANCER

    OpenAIRE

    Rudramurthy; Pradeep Kumar; Avanthi; Ira

    2014-01-01

    OBJECTIVE: To correlate risk factors for breast cancer with Histopathological grading. MATERIAL AND METHOD: A four year retrospective study was carried out from 2009-2012. 46 cases which were reported as breast cancer in due course were reviewed with histopathological (Scarff-Bloom-Richardson) grade of the tumor and familial, hormonal and acquired risk factors. The correlation of risk factors and the histopathological grade is done by using‘t’ test. RESULTS: Among 46 cases of breast cancer, a...

  20. Predicting the risk of sudden cardiac death.

    Science.gov (United States)

    Lerma, Claudia; Glass, Leon

    2016-05-01

    Sudden cardiac death (SCD) is the result of a change of cardiac activity from normal (typically sinus) rhythm to a rhythm that does not pump adequate blood to the brain. The most common rhythms leading to SCD are ventricular tachycardia (VT) or ventricular fibrillation (VF). These result from an accelerated ventricular pacemaker or ventricular reentrant waves. Despite significant efforts to develop accurate predictors for the risk of SCD, current methods for risk stratification still need to be improved. In this article we briefly review current approaches to risk stratification. Then we discuss the mathematical basis for dynamical transitions (called bifurcations) that may lead to VT and VF. One mechanism for transition to VT or VF involves a perturbation by a premature ventricular complex (PVC) during sinus rhythm. We describe the main mechanisms of PVCs (reentry, independent pacemakers and abnormal depolarizations). An emerging approach to risk stratification for SCD involves the development of individualized dynamical models of a patient based on measured anatomy and physiology. Careful analysis and modelling of dynamics of ventricular arrhythmia on an individual basis will be essential in order to improve risk stratification for SCD and to lay a foundation for personalized (precision) medicine in cardiology. PMID:26660287

  1. Positive Predictive Values in Diagnosis of Incidental Prostate Cancer

    Directory of Open Access Journals (Sweden)

    Caner Ediz

    2016-03-01

    Full Text Available Objective: Although the incidence of incidental prostate cancer (IPCa decreases in recent years; for patients who performed by transurethral resection of the prostate (TURP due to bladder outlet obstruction with or without prostatism symptoms (BPH, it is still can be seen. This article purposes to answer two questions a for urologist, which clinical parameters including obesity and smoking have positive predictive value. b for pathologists; which materials are wholly sampled for reducing the cancer ? Methods: We evaluated 1315 cases who were per­formed by TURP due to bladder outlet obstruction with or without prostatism symptoms the years 2006-2015. The ages of the patients, smoking, body mass index (BMI, digital rectal examination (DRE findings, preoperative prostate specific antigen (PSA levels, uroflow values, to­tal prostate volume determined by suprapubic ultrasound and Gleason score were recorded. We analyzed the re­lationship between these parameters and IPCa. These situation compared with benign prostate tissue materials. Results: Totally 31 cases (2.35% were found in the IPCa. While the cases of 24 were pT1a, 7 cases were pT1b. Age, body mass index, PSA, peak current speed and mean flow rate parameters respectively 8.887, 5.668, 9.660, 4.814 and 3.716 times as an incidental effect in detecting prostate cancer has been concluded. Conclusion: Older patient age, over the 25 kg/m2 of BMI, over the 4 ng/dl of PSA levels, the peak flow rate less than 10 ml/sec and the mean flow rate less than 5 ml/sec might be independent risk factors for detecting IPCa. More ex­ternal validation is needed for confirming our results.

  2. Predictive risk factors for persistent postherniotomy pain

    DEFF Research Database (Denmark)

    Aasvang, Eske K; Gmaehle, Eliza; Hansen, Jeanette B;

    2010-01-01

    patients undergoing open or laparoscopic transabdominal preperitoneal elective groin hernia repair. Primary outcome was identification of risk factors for substantial pain-related functional impairment at 6 months postoperatively assessed by the validated Activity Assessment Scale (AAS). Data on potential...... risk factors for PPP were collected preoperatively (pain from the groin hernia, preoperative AAS score, pain from other body regions, and psychometric assessment). Pain scores were collected on days 7 and 30 postoperatively. Sensory functions including pain response to tonic heat stimulation were...... regression analysis identified four risk factors for PPP: preoperative AAS score, preoperative pain to tonic heat stimulation, 30-day postoperative pain intensity, and sensory dysfunction in the groin at 6 months (nerve damage) (all P

  3. Risk factors for postoperative seromas in Chinese breast cancer patients

    Institute of Scientific and Technical Information of China (English)

    LIN Yan-ping; YIN Wen-jin; YAN Ting-ting; ZHOU Li-heng; DI Geng-hong; WU Jiong; SHEN Zhen-zhou; SHAO Zhi-min; LU Jin-song

    2011-01-01

    S:Background Seroma formation is one of the most common complications after breast cancer surgery. Various risk factors have been evaluated for their associations with the development of seromas in Western populations. However,similar data are not available in Chinese series. Therefore, we sought to investigate the potential risk factors for Chinese breast cancer patients.Methods A prospective study of female breast cancer patients undergoing surgery was carried out in Cancer Hospital of Fudan Unversity, Shanghai, China. Univariate analyses were performed by chi-square test or Student's t test or Mann-Whitney test and multivariate analyses by stepwise Logistic regression. The logistic model included age (years),total serum protein concentration (g/L), drainage volume on postoperative day 3 (POD 3; ml) and time to daily drainage volume not more than 30 ml (TTV30; days).Results A total of 158 patients with breast cancer were studied. The mean age at diagnosis was (52.14±10.77) years (range 25-92). During the follow-up period, 24 (15.2%) patients developed seromas. Calculated as continuous variables in the stepwise Logistic regression, age (OR=1.090, 95% CI 1.028-1.155, P=0.004), total serum protein concentration (OR=0.886, 95% Cl 0.791-0.992, P=0.036), drainage volume on POD3 (OR=1.013, 95% CI 1.002-1.023, P=0.017) and TTV30 (OR=1.273, 95% CI 1.039-1.561, P=0.020) were independent risk factors for seroma formation. Additionally,significant difference in daily drainage volume was substantiated in the analysis by seroma formation (P=0.034) rather than by type of surgery (P=0.713).Conclusions Although the pathogenesis of seroma remains controversial, such risk factors as age, nutritional status,drainage volume on POD3 and TTV30 should be considered for prediction and prevention of seroma formation in Chinese breast cancer patients.

  4. Scientific approach to radiation-induced cancer risk

    OpenAIRE

    Sobue, Tomotaka

    2011-01-01

    When evaluating cancer risk of low-dose radiation, it is difficult to distinguish the actual effect from that of chance, bias, and confounding as they become relatively large. This is why the relation between radiation doses of less than 100 mSv and cancer risk is considered unknown. Based on data of atomic bomb survivors in Hiroshima and Nagasaki, the cancer risk at 100 mSv is calculated at 1.05 times. On the other hand, the risk ratio for the relation between passive smoking and lung cancer...

  5. Predicting risk and the emergence of schizophrenia.

    LENUS (Irish Health Repository)

    Clarke, Mary C

    2012-09-01

    This article gives an overview of genetic and environmental risk factors for schizophrenia. The presence of certain molecular, biological, and psychosocial factors at certain points in the life span, has been linked to later development of schizophrenia. All need to be considered in the context of schizophrenia as a lifelong brain disorder. Research interest in schizophrenia is shifting to late childhood\\/early adolescence for screening and preventative measures. This article discusses those environmental risk factors for schizophrenia for which there is the largest evidence base.

  6. 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...

  7. Serum Oxidized Protein and Prostate Cancer Risk within the Prostate Cancer Prevention Trial

    OpenAIRE

    Hoque, Ashraful; Ambrosone, Christine B; Till, Cathee; Goodman, Phyllis J.; Tangen, Cathy; Kristal, Alan; Lucia, Scott; Wang, Qiao; Kappil, Maya; Thompson, Ian; Hsing, Ann W.; Parnes, Howard; Lippman, Scott M.; Santella, Regina M.

    2010-01-01

    To evaluate the role of oxidative stress in prostate cancer risk, we analyzed serum levels of protein carbonyl groups in 1808 prostate cancer cases and 1805 controls, nested in the Prostate Cancer Prevention Trial, a randomized, placebo-control trial that found finasteride decreased prostate cancer risk. There were no significant differences in protein carbonyl levels in baseline samples between those later diagnosed with prostate cancer and those without at the end of study biopsy. Adjusted ...

  8. Pigmentation-related phenotypes and risk of prostate cancer

    OpenAIRE

    Weinstein, S J; Virtamo, J; Albanes, D

    2013-01-01

    Background: Solar ultraviolet radiation exposure has been inversely related to prostate cancer incidence and mortality, possibly mediated through vitamin D status. Pigmentation-related traits influence endogenous vitamin D synthesis and may alter risk of prostate cancer. Methods: We examined prostate cancer in relation to hair and eye colour, and skin phototype in the Alpha-Tocopherol, Beta-Carotene Cancer Prevention Study cohort. Incident cancer was diagnosed in 1982 out of 20 863 men. Multi...

  9. Prediction of Banking Systemic Risk Based on Support Vector Machine

    Directory of Open Access Journals (Sweden)

    Shouwei Li

    2013-01-01

    Full Text Available Banking systemic risk is a complex nonlinear phenomenon and has shed light on the importance of safeguarding financial stability by recent financial crisis. According to the complex nonlinear characteristics of banking systemic risk, in this paper we apply support vector machine (SVM to the prediction of banking systemic risk in an attempt to suggest a new model with better explanatory power and stability. We conduct a case study of an SVM-based prediction model for Chinese banking systemic risk and find the experiment results showing that support vector machine is an efficient method in such case.

  10. Gastric cancer patients at high-risk of having synchronous cancer

    Institute of Scientific and Technical Information of China (English)

    Jun Ho Lee; Jae-Gahb Park; Jae-Moon Bae; Ja Seong Bae; Keun Won Ryu; Jong Seok Lee; Sook Ryun Park; Chan Gyoo Kim; Myoung Cheorl Kook; Il Ju Choi; Young Woo Kim

    2006-01-01

    AIM: To identify patients with a high-risk of having a synchronous cancer among gastric cancer patients.METHODS: We retrospectively analyzed the prospective gastric cancer database at the National Cancer Center,Korea from December 2000 to December 2004. The clinicopathological characteristics of patients with synchronous cancers and those of patients without synchronous cancers were compared. Multivariate analysis was performed to identify the risk factors for the presence of a synchronous cancer in gastric cancer patients.RESULTS: 111 of 3291 gastric cancer patients (3.4%)registered in the database had a synchronous cancer.Among these 111 patients, 109 had a single synchronous cancer and 2 patients had two synchronous cancers. The most common form of synchronous cancer was colorectal cancer (42 patients, 37.2%) followed by lung cancer (21 patients, 18.6%). Multivariate analyses revealed that elderly patients with differentiated early gastric cancer have a higher probability of a synchronous cancer.CONCLUSION: Synchronous cancers in gastric cancer patients are not infrequent. The physicians should try to find synchronous cancers in gastric cancer patients,especially in the elderly with a differentiated early gastric cancer.

  11. Visceral adiposity, insulin resistance and cancer risk

    LENUS (Irish Health Repository)

    Donohoe, Claire L

    2011-06-22

    Abstract Background There is a well established link between obesity and cancer. Emerging research is characterising this relationship further and delineating the specific role of excess visceral adiposity, as opposed to simple obesity, in promoting tumorigenesis. This review summarises the evidence from an epidemiological and pathophysiological perspective. Methods Relevant medical literature was identified from searches of PubMed and references cited in appropriate articles identified. Selection of articles was based on peer review, journal and relevance. Results Numerous epidemiological studies consistently identify increased risk of developing carcinoma in the obese. Adipose tissue, particularly viscerally located fat, is metabolically active and exerts systemic endocrine effects. Putative pathophysiological mechanisms linking obesity and carcinogenesis include the paracrine effects of adipose tissue and systemic alterations associated with obesity. Systemic changes in the obese state include chronic inflammation and alterations in adipokines and sex steroids. Insulin and the insulin-like growth factor axis influence tumorigenesis and also have a complex relationship with adiposity. There is evidence to suggest that insulin and the IGF axis play an important role in mediating obesity associated malignancy. Conclusions There is much evidence to support a role for obesity in cancer progression, however further research is warranted to determine the specific effect of excess visceral adipose tissue on tumorigenesis. Investigation of the potential mechanisms underpinning the association, including the role of insulin and the IGF axis, will improve understanding of the obesity and cancer link and may uncover targets for intervention.

  12. Statistical Inference under Latent Class Models, with Application to Risk Assessment in Cancer Survivorship Studies

    OpenAIRE

    Wang, Huijing

    2015-01-01

    Motivated by a cancer survivorship program, this PhD thesis aims to develop methodology for risk assessment, classification, and prediction. We formulate the primary data collected from a cohort with two underlying categories, the at-risk and not-at-risk classes, using latent class models, and we conduct both cross-sectional and longitudinal analyses. We begin with a maximum pseudo-likelihood estimator (pseudo-MLE) as an alternative to the maximum likelihood estimator (MLE) under a mixture Po...

  13. Predicting Risk Sensitivity in Humans and Lower Animals: Risk as Variance or Coefficient of Variation

    Science.gov (United States)

    Weber, Elke U.; Shafir, Sharoni; Blais, Ann-Renee

    2004-01-01

    This article examines the statistical determinants of risk preference. In a meta-analysis of animal risk preference (foraging birds and insects), the coefficient of variation (CV), a measure of risk per unit of return, predicts choices far better than outcome variance, the risk measure of normative models. In a meta-analysis of human risk…

  14. Chromosomal aberrations in lymphocytes predict human cancer: a report from the European Study Group on Cytogenetic Biomarkers and Health (ESCH)

    DEFF Research Database (Denmark)

    Hagmar, L; Bonassi, S; Strömberg, U;

    1998-01-01

    . No association was seen between the SCEs or the MN frequencies and subsequent cancer incidence/mortality. The present study further supports our previous observation on the cancer predictivity of the CA biomarker, which seems to be independent of age at test, gender, and time since test. The risk patterns were...... similar within each national cohort. This result suggests that the frequency of CAs in peripheral blood lymphocytes is a relevant biomarker for cancer risk in humans, reflecting either early biological effects of genotoxic carcinogens or individual cancer susceptibility....

  15. Formalization of the model of the enterprise insolvency risk prediction

    Directory of Open Access Journals (Sweden)

    Elena V. Shirinkina

    2015-12-01

    Full Text Available Objective to improve the conceptual apparatus and analytical procedures of insolvency risk identification. Methods general scientific methods of systemic and comparative analysis economicstatistical and dynamic analysis of economic processes and phenomena. Results nowadays managing the insolvency risk is relevant for any company regardless of the economy sector. Instability manifests itself through the uncertainty of the directions of the external environment changes and their high frequency. Analysis of the economic literature showed that currently there is no single approach to systematization of methods for insolvency risk prediction which means that there is no objective view on tools that can be used to monitor the insolvency risk. In this respect scientific and practical search of representative indicators for the formalization of the models predicting the insolvency is very important. Therefore the study has solved the following tasks defined the nature of the insolvency risk and its identification in the process of financial relations in management system proved the representativeness of the indicators in the insolvency risk prediction and formed the model of the risk insolvency prediction. Scientific novelty grounding the model of risk insolvency prediction. Practical significance development of a theoretical framework to address issues arising in the diagnosis of insolvent enterprises and application of the results obtained in the practice of the bankruptcy institution bodies. The presented model allows to predict the insolvency risk of the enterprise through the general development trend and the fluctuation boundaries of bankruptcy risk to determine the significance of each indicatorfactor its quantitative impact and therefore to avoid the risk of the enterprise insolvency. nbsp

  16. Factors Influencing Cancer Risk Perception in High Risk Populations: A Systematic Review

    Directory of Open Access Journals (Sweden)

    Tilburt Jon C

    2011-05-01

    Full Text Available Abstract Background Patients at higher than average risk of heritable cancer may process risk information differently than the general population. However, little is known about clinical, demographic, or psychosocial predictors that may impact risk perception in these groups. The objective of this study was to characterize factors associated with perceived risk of developing cancer in groups at high risk for cancer based on genetics or family history. Methods We searched Ovid MEDLINE, Ovid Embase, Ovid PsycInfo, and Scopus from inception through April 2009 for English-language, original investigations in humans using core concepts of "risk" and "cancer." We abstracted key information and then further restricted articles dealing with perceived risk of developing cancer due to inherited risk. Results Of 1028 titles identified, 53 articles met our criteria. Most (92% used an observational design and focused on women (70% with a family history of or contemplating genetic testing for breast cancer. Of the 53 studies, 36 focused on patients who had not had genetic testing for cancer risk, 17 included studies of patients who had undergone genetic testing for cancer risk. Family history of cancer, previous prophylactic tests and treatments, and younger age were associated with cancer risk perception. In addition, beliefs about the preventability and severity of cancer, personality factors such as "monitoring" personality, the ability to process numerical information, as well as distress/worry also were associated with cancer risk perception. Few studies addressed non-breast cancer or risk perception in specific demographic groups (e.g. elderly or minority groups and few employed theory-driven analytic strategies to decipher interrelationships of factors. Conclusions Several factors influence cancer risk perception in patients at elevated risk for cancer. The science of characterizing and improving risk perception in cancer for high risk groups, although

  17. Sexual activity and the risk of prostate cancer: Review article

    Directory of Open Access Journals (Sweden)

    Ahmed Fouad Kotb

    2015-09-01

    Full Text Available Introduction: Sexual activity can affect prostate cancer pathogenesis in a variety of ways; including the proposed high androgen status, risk of sexually transmitted infections and the potential effect of retained carcinogens within the prostatic cells. Methods: PubMed review of all publications concerning sexual activity and the risk of prostate cancer was done by two researchers. Results: Few publications could be detected and data were classified as a prostate cancer risk in association with either heterosexual or homosexual activities. Conclusion: Frequent ejaculation seems to be protective from the development of prostate cancer. Multiple sexual partners may be protective from prostate cancer, excluding the risk of sexually transmitted infections. Homosexual men are at a greater risk for the diagnosis of prostate cancer.

  18. Signal enhancement ratio (SER) quantified from breast DCE-MRI and breast cancer risk

    Science.gov (United States)

    Wu, Shandong; Kurland, Brenda F.; Berg, Wendie A.; Zuley, Margarita L.; Jankowitz, Rachel C.; Sumkin, Jules; Gur, David

    2015-03-01

    Breast magnetic resonance imaging (MRI) is recommended as an adjunct to mammography for women who are considered at elevated risk of developing breast cancer. As a key component of breast MRI, dynamic contrast-enhanced MRI (DCE-MRI) uses a contrast agent to provide high intensity contrast between breast tissues, making it sensitive to tissue composition and vascularity. Breast DCE-MRI characterizes certain physiologic properties of breast tissue that are potentially related to breast cancer risk. Studies have shown that increased background parenchymal enhancement (BPE), which is the contrast enhancement occurring in normal cancer-unaffected breast tissues in post-contrast sequences, predicts increased breast cancer risk. Signal enhancement ratio (SER) computed from pre-contrast and post-contrast sequences in DCE-MRI measures change in signal intensity due to contrast uptake over time and is a measure of contrast enhancement kinetics. SER quantified in breast tumor has been shown potential as a biomarker for characterizing tumor response to treatments. In this work we investigated the relationship between quantitative measures of SER and breast cancer risk. A pilot retrospective case-control study was performed using a cohort of 102 women, consisting of 51 women who had diagnosed with unilateral breast cancer and 51 matched controls (by age and MRI date) with a unilateral biopsy-proven benign lesion. SER was quantified using fully-automated computerized algorithms and three SER-derived quantitative volume measures were compared between the cancer cases and controls using logistic regression analysis. Our preliminary results showed that SER is associated with breast cancer risk, after adjustment for the Breast Imaging Reporting and Data System (BI-RADS)-based mammographic breast density measures. This pilot study indicated that SER has potential for use as a risk factor for breast cancer risk assessment in women at elevated risk of developing breast cancer.

  19. 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 ...

  20. Adjusting a cancer mortality-prediction model for disease status-related eligibility criteria

    Directory of Open Access Journals (Sweden)

    Kimmel Marek

    2011-05-01

    Full Text Available Abstract Background Volunteering participants in disease studies tend to be healthier than the general population partially due to specific enrollment criteria. Using modeling to accurately predict outcomes of cohort studies enrolling volunteers requires adjusting for the bias introduced in this way. Here we propose a new method to account for the effect of a specific form of healthy volunteer bias resulting from imposing disease status-related eligibility criteria, on disease-specific mortality, by explicitly modeling the length of the time interval between the moment when the subject becomes ineligible for the study, and the outcome. Methods Using survival time data from 1190 newly diagnosed lung cancer patients at MD Anderson Cancer Center, we model the time from clinical lung cancer diagnosis to death using an exponential distribution to approximate the length of this interval for a study where lung cancer death serves as the outcome. Incorporating this interval into our previously developed lung cancer risk model, we adjust for the effect of disease status-related eligibility criteria in predicting the number of lung cancer deaths in the control arm of CARET. The effect of the adjustment using the MD Anderson-derived approximation is compared to that based on SEER data. Results Using the adjustment developed in conjunction with our existing lung cancer model, we are able to accurately predict the number of lung cancer deaths observed in the control arm of CARET. Conclusions The resulting adjustment was accurate in predicting the lower rates of disease observed in the early years while still maintaining reasonable prediction ability in the later years of the trial. This method could be used to adjust for, or predict the duration and relative effect of any possible biases related to disease-specific eligibility criteria in modeling studies of volunteer-based cohorts.

  1. Substantial contribution of extrinsic risk factors to cancer development | Office of Cancer Genomics

    Science.gov (United States)

    Recent research has highlighted a strong correlation between tissue-specific cancer risk and the lifetime number of tissue-specific stem-cell divisions. Whether such correlation implies a high unavoidable intrinsic cancer risk has become a key public health debate with the dissemination of the 'bad luck' hypothesis. Here we provide evidence that intrinsic risk factors contribute only modestly (less than ~10-30% of lifetime risk) to cancer development.

  2. Bayesian disclosure risk assessment: predicting small frequencies in contingency tables

    OpenAIRE

    Forster, Jonathan J.; Webb, Emily L

    2007-01-01

    We propose an approach for assessing the risk of individual identification in the release of categorical data. This requires the accurate calculation of predictive probabilities for those cells in a contingency table which have small sample frequencies, making the problem somewhat different from usual contingency table estimation, where interest is generally focussed on regions of high probability. Our approach is Bayesian and provides posterior predictive probabilities of identification risk...

  3. Lung cancer incidence and risk factors

    International Nuclear Information System (INIS)

    The possibility of developing lung cancer (lc) as a consequence of inhaling hot particles from the Chernobyl accident is discussed. The risk from various factors is reviewed in order to assess the rate of contribution for any of them to carcinogenic process. The conclusions are based on data reported by National Centre of Oncology, Sofia (BG). A total of 2873 new cases have been recorded in 1990. The data for the period 1970-1990 show a crude increase for males and tend to stabilization for females. The similar pattern is obtained in other countries and geographic areas with steady rise of lc cases with about 0.5% per year. The contribution of particular risk factor and its interaction with other factors is assessed on the basis of large number of epidemiologic and experimental studies. The risk of cigarette smoking, as the principal cause for lc, is discussed in various aspects - age, duration, possible dropping the habit. The assessment of another risk factor - exposure to relatively high doses of natural radon daughter products - is more complicated. As an occupational hazard in uranium mines radon and its progeny reveals an increase in excess lc incidence. Regarding radon and its daughters as an environmental risk factor in dwellings, no clear positive relationship between exposure and lc incidence has been observed. In this case the assessment for population living in areas with higher concentration of radon products have to rely on data from uranium mines. Non radiation factors as asbestos, ethers, chromates, metallic iron, nickel, beryllium and arsenic, are also considered. The combined effect of all these factors, as well as of pathological cell processes, viruses, malfunctions of immune system, is mentioned as well. The possibility of interpreting the findings from epidemiological studies within the framework of theoretical multistage models of carcinogenic process is pointed out. (author)

  4. Accuracy of a nomogram for prediction of lymph-node metastasis detected with conventional histopathology and ultrastaging in endometrial cancer

    OpenAIRE

    Koskas, M.; Chereau, E; Ballester, M.; Dubernard, G; Lécuru, F; Heitz, D; Mathevet, P.; Marret, H; Querleu, D; Golfier, F.; Leblanc, E.; D. Luton; Rouzier, R; Daraï, E

    2013-01-01

    Background: We developed a nomogram based on five clinical and pathological characteristics to predict lymph-node (LN) metastasis with a high concordance probability in endometrial cancer. Sentinel LN (SLN) biopsy has been suggested as a compromise between systematic lymphadenectomy and no dissection in patients with low-risk endometrial cancer. Methods: Patients with stage I–II endometrial cancer had pelvic SLN and systematic pelvic-node dissection. All LNs were histopathologically examined,...

  5. Risk of gynecologic cancers in Danish hereditary non-polyposis colorectal cancer families

    DEFF Research Database (Denmark)

    Boilesen, Astrid Elisabeth Bruun; Bisgaard, Marie Luise; Bernstein, Inge

    2008-01-01

    OBJECTIVE: Women in hereditary non-polyposis colorectal cancer (HNPCC) families have an elevated risk of endometrial and ovarian cancer. The risk in Lynch syndrome families with known mutations in mismatch repair genes (MMR genes) seems to be higher than in familial colorectal cancer (CRC) famili...

  6. 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

  7. Cancer recurrence worry, risk perception, and informational-coping styles among Appalachian cancer survivors.

    Science.gov (United States)

    Kelly, Kimberly M; Shedlosky-Shoemaker, Randi; Porter, Kyle; Desimone, Philip; Andrykowski, Michael

    2011-01-01

    Despite a growing literature on the psychosocial impact of the threat of cancer recurrence, underserved populations, such as those from the Appalachian region, have been understudied. To examine worry and perceived risk in cancer survivors, Appalachian and non-Appalachian cancer patients at an ambulatory oncology clinic in a university hospital were surveyed. Appalachians had significantly higher worry than non-Appalachians. Cancer type and lower need for cognition were associated with greater worry. Those with missing perceived risk data were generally older, less educated, and lower in monitoring, blunting, and health literacy. Additional resources are needed to assist Appalachians and those with cancers with poor prognoses (e.g., liver cancer, pancreatic cancer) to cope with worry associated with developing cancer again. More attention for cancer prevention is critical to improve quality of life in underserved populations where risk of cancer is greater. PMID:21240722

  8. Predictive validity of the Hand Arm Risk assessment Method (HARM)

    NARCIS (Netherlands)

    Douwes, M.; Boocock, M.; Coenen, P.; Heuvel, S. van den; Bosch, T.

    2014-01-01

    The Hand Arm Risk assessment Method (HARM) is a simplified risk assessment method for determining musculoskeletal symptoms to the arm, neck and/or shoulder posed by hand-arm tasks of the upper body. The purpose of this study was to evaluate the predictive validity of HARM using data collected from a

  9. Tea drinking and risk of pancreatic cancer

    Institute of Scientific and Technical Information of China (English)

    Wei Junbao; Chen Long; Zhu Xiaodong

    2014-01-01

    Background Epidemiologic studies have reported inconsistent results regarding tea consumption and the risk of pancreatic cancer.This study aimed to investigate whether tea consumption is related to the risk of pancreatic cancer.Methods We searched Medline,EMBASE,ISI Web of Science,and the Cochrane library for studies published up to November 2013.We used a meta-analytic approach to estimate overall odds ratio (OR) and 95% confidence interval (CI) for the highest versus the lowest tea consumption categories.Results The summary OR for high versus no/almost never tea drinkers was 1.04 (95% CI:0.91-1.20),with no significant heterogeneity across studies (P=0.751;I2=0.0%).The OR was 0.99 (95% CI:0.77-1.28) in males and 1.01 (95% CI:0.79-1.29) in females.The OR was 1.07 (95% CI:0.85-1.34) in Asian studies,1.05 (95% CI:0.84-1.31) in European studies,and 0.98 (95% CI:0.72-1.34) in the US studies.The OR was 0.87 (95% CI:0.69-1.10) without adjustment for a history of diabetes and 1.16 (95% CI:0.97-0.39) after adjustment for a history of diabetes.The OR was 0.90 (95% CI:0.72-1.12) without adjustment for alcohol drinking and 1.16 (95% CI:0.96-1.39) after adjustment for alcohol drinking.The OR was 0.97 (95% CI:0.76-1.25) without adjustment for BMI and 1.07 (95% CI:0.87-1.31) after adjustment for BMI.Conclusion This systematic meta-analysis of cohort studies dose not provide quantitative evidence that tea consumption is appreciably related to the risk of pancreatic cancer,even at high doses.

  10. Risk Factors for Premenopausal Breast Cancer in Bangladesh

    Directory of Open Access Journals (Sweden)

    Javaid Iqbal

    2015-01-01

    Full Text Available Background. The incidence of premenopausal breast cancer is rising throughout South Asia. Our objective was to determine the role of risk factors associated with Westernization for premenopausal breast cancer in Bangladesh. Methods. We conducted a matched case-control study between January 1, 2007, and December 31, 2010, at four hospitals in Bangladesh. Cases were premenopausal women diagnosed with invasive breast cancer. Controls were premenopausal women with no personal history of breast cancer. Logistic regression was used to calculate the odds ratios (OR for breast cancer. Results. We identified 129 age-matched pairs. The mean age of breast cancer diagnosis was 37.5 years. Each year decrease in the age of menarche significantly increased the risk of breast cancer (OR = 1.67, 95% CI 1.09–2.56, P=0.02. The risk was also increased with a current body mass index of ≥25 kg/m2 (OR = 5.24, 95% CI 1.10–24.9, P=0.04. Age at first childbirth, parity, and breastfeeding were not significantly associated with premenopausal breast cancer risk (P>0.05. Conclusions. Age at menarche and adult weight gain were associated with premenopausal breast cancer risk. Other factors associated with Westernization may not be relevant to premenopausal breast cancer risk in Bangladesh.

  11. A Multi-Criteria Prediction model for project Risk classifications

    OpenAIRE

    Laryea, Rueben

    2013-01-01

    Project distress predictions are essential in project management. Developing appropriate methods to classify projects and building prediction models for multicriteria decisions requires empirical methods to minimise misclassification errors. This paper carries out multicriteria analysis to classify project risks using a preference disaggregation method, UTilit.

  12. Risk of primary non-breast cancer after female breast cancer by age at diagnosis

    DEFF Research Database (Denmark)

    Mellemkjær, Lene; Christensen, Jane; Frederiksen, Kirsten Skovsgaard;

    2011-01-01

    Women diagnosed with breast cancer at young age have been shown to be at higher risk of developing a new primary cancer than women diagnosed at older ages, but little is known about whether adjustment for calendar year of breast cancer diagnosis, length of follow-up, and/or breast cancer treatment...

  13. Changes in mammographic density and breast cancer risk

    NARCIS (Netherlands)

    Lokate, A.J.M.

    2012-01-01

    Breast cancer is the most frequently occurring cancer among women worldwide. One of the most important risk factors for breast cancer is high mammographic density. Mammographic density represents the amount of fibroglandular tissue relative to the fat tissue in the breast. Women with >75% of their b

  14. Contemporary management of low-risk bladder cancer

    NARCIS (Netherlands)

    Falke, J.; Witjes, J.A.

    2011-01-01

    Bladder cancer comprises a heterogeneous group of tumors, the majority of which are non-muscle-invasive bladder cancer (NMIBC) at initial presentation. Low-risk bladder cancer--defined as pTa low-grade papillary tumors--is the type of NMIBC with the most favorable oncologic outcome. Although the ris

  15. A New View of Radiation-Induced Cancer: Integrating Short- and Long-Term Processes. Part II: Second Cancer Risk Estimation

    Science.gov (United States)

    Shuryak, Igor; Brenner, David J.; Hahnfeldt, Philip; Hlatky, Lynn; Sachs, Rainer K.

    2009-01-01

    As the number of cancer survivors grows, prediction of radiotherapy-induced second cancer risks becomes increasingly important. Because the latency period for solid tumors is long, the risks of recently introduced radiotherapy protocols are not yet directly measurable. In the accompanying article, we presented a new biologically based mathematical model, which, in principle, can estimate second cancer risks for any protocol. The novelty of the model is that it integrates, into a single formalism, mechanistic analyses of pre-malignant cell dynamics on two different time scales: short-term during radiotherapy and recovery; long-term during the entire life span. Here, we apply the model to nine solid cancer types (stomach, lung, colon, rectal, pancreatic, bladder, breast, central nervous system, and thyroid) using data on radiotherapy-induced second malignancies, on Japanese atomic bomb survivors, and on background US cancer incidence. Potentially, the model can be incorporated into radiotherapy treatment planning algorithms, adding second cancer risk as an optimization criterion.

  16. Colorectal Cancer Epidemiology: Incidence, Mortality, Survival, and Risk Factors

    OpenAIRE

    Haggar, Fatima A.; Boushey, Robin P.

    2009-01-01

    In this article, the incidence, mortality, and survival rates for colorectal cancer are reviewed, with attention paid to regional variations and changes over time. A concise overview of known risk factors associated with colorectal cancer is provided, including familial and hereditary factors, as well as environmental lifestyle-related risk factors such as physical inactivity, obesity, smoking, and alcohol consumption.

  17. Physical activity and breast cancer risk in Chinese women

    NARCIS (Netherlands)

    Pronk, A.; Ji, B.T.; Shu, X.O.; Chow, W.H.; Xue, S.; Yang, G; Li, H.L.; Rothman, N.; Gao, Y.T.; Zheng, W.; Matthews, C.E.

    2011-01-01

    Background: The influence of different types and intensities of physical activity on risk for breast cancer is unclear. Methods: In a prospective cohort of 73 049 Chinese women (40-70 years), who had worked outside the home, we studied breast cancer risk in relation to specific types of self-reporte

  18. Dietary acrylamide intake is not associated with gastrointestinal cancer risk

    NARCIS (Netherlands)

    Hogervorst, J.G.F.; Schouten, L.J.; Konings, E.J.M.; Goldbohm, R.A.; Brandt, P.A. van den

    2008-01-01

    Acrylamide is a probable human carcinogen that was detected in several heat-treated foods, such as French fries and crisps, in 2002. Prospective studies are needed on acrylamide and human cancer risk. We prospectively investigated the association between acrylamide and gastrointestinal cancer risk.

  19. Cancer incidence after retinoblastoma - Radiation dose and sarcoma risk

    NARCIS (Netherlands)

    Wong, FL; Boice, JD; Abramson, DH; Tarone, RE; Kleinerman, RA; Stovall, M; Goldman, MB; Seddon, JM; Tarbell, N; Fraumeni, JF; Li, FP

    1997-01-01

    Context.-There is a substantial risk of a second cancer for persons with hereditary retinoblastoma, which is enhanced by radiotherapy. Objective.-To examine long-term risk of new primary cancers in survivors of childhood retinoblastoma and quantify the role of radiotherapy in sarcoma development. De

  20. Communicating Cancer Risk Information: The Challenges of Uncertainty.

    Science.gov (United States)

    Bottorff, Joan L.; Ratner, Pamela A.; Johnson, Joy L.; Lovato, Chris Y.; Joab, S. Amanda

    1998-01-01

    Accurate and sensitive communication of cancer-risk information is important. Based on a literature review of 75 research reports, expert opinion papers, and clinical protocols, a synthesis of what is known about the communication of cancer-risk information is presented. Relevance of information to those not tested is discussed. (Author/EMK)

  1. Stomach cancer risk after treatment for hodgkin lymphoma

    DEFF Research Database (Denmark)

    Morton, Lindsay M; Dores, Graça M; Curtis, Rochelle E;

    2013-01-01

    Treatment-related stomach cancer is an important cause of morbidity and mortality among the growing number of Hodgkin lymphoma (HL) survivors, but risks associated with specific HL treatments are unclear.......Treatment-related stomach cancer is an important cause of morbidity and mortality among the growing number of Hodgkin lymphoma (HL) survivors, but risks associated with specific HL treatments are unclear....

  2. Review of screening for pancreatic cancer in high risk individuals

    Institute of Scientific and Technical Information of China (English)

    Alina Stoita; Ian D Penman; David B Williams

    2011-01-01

    Pancreatic cancer is difficult to diagnose at an early stage and is associated with a very poor survival. Ten percent of pancreatic cancers result from genetic susceptibility and/or familial aggregation. Individuals from families with multiple affected first-degree relatives and those with a known cancer-causing genetic mutation have been shown to be at much higher risk of developing pancreatic cancer. Recent efforts have focused on detecting disease at an earlier stage to improve survival in these high-risk groups. This article reviews high-risk groups, screening methods, and current screening programs and their results.

  3. Prospective Evaluation of Risk Factors for Male Breast Cancer

    OpenAIRE

    Brinton, Louise A.; Richesson, Douglas A.; Gierach, Gretchen L.; Lacey, James V.; Park, Yikyung; Hollenbeck, Albert R.; Schatzkin, Arthur

    2008-01-01

    Most risk factors for male breast cancer have been derived from retrospective studies that may reflect selective recall. In the prospective National Institutes of Health–AARP Diet and Health Study, we studied 324 920 men, among whom 121 developed breast cancer. Men who reported a first-degree relative with breast cancer had an increased risk of breast cancer (relative risk [RR] = 1.92, 95% confidence interval [CI] = 1.19 to 3.09). Among the medical conditions examined, a new finding emerged r...

  4. Risk of ovarian cancer in women with first-degree relatives with cancer

    DEFF Research Database (Denmark)

    Soegaard, Marie; Frederiksen, Kirsten; Jensen, Allan;

    2009-01-01

    OBJECTIVE: To assess the risk of ovarian cancer in women with first-degree relatives with cancer at one of the four most frequent hereditary sites based on validated cancer diagnoses and to examine the association according to age at diagnosis of ovarian cancer and histology. DESIGN: Case......-control study. SETTING AND POPULATION: First-degree relatives of 554 women with invasive epithelial ovarian cancer and 1,564 controls were included. METHODS: Analyses were performed using multiple logistic regression models. RESULTS: Ovarian cancer in a first-degree relative was significantly associated...... with ovarian cancer family history tended to be with non-mucinous tumors. Breast cancer in one first-degree female relative was not significantly associated with risk of ovarian cancer. CONCLUSION: Ovarian cancer in a first-degree relative is a very strong predictor of epithelial ovarian cancer, especially...

  5. 甲状腺癌术后复发相关危险因素分析及复发预测模型构建%Study on risk factors of thyroid cancer recurrence and prediction model establishment

    Institute of Scientific and Technical Information of China (English)

    陈志丹; 陈德杰

    2015-01-01

    目的::探讨甲状腺癌术后复发的相关危险因素,构建甲状腺癌复发的预测模型。方法:回顾性分析2009年6月至2012年12月手术治疗且经病理确诊的甲状腺癌患者的临床资料,并对患者的术后复发情况进行追踪随访;采用Kaplan-Meier法计算患者的术后复发率,绘制患者的无复发生存曲线;运用多因素Cox回归模型分析患者术后复发的独立危险因素,并建立复发预测模型。结果:共纳入符合条件的甲状腺癌患者376例,男86例,女290例;年龄16~81岁,平均(43.5±8.1)岁。随访1~58个月,中位随访时间24个月;随访期间97例(25.8%)患者复发,无复发生存时间1~58个月,1年、2年、3年累积无复发生存率分别为96.8%、92.5%、87.9%。多因素Cox回归模型分析发现,肿瘤最大直径≥4 cm、手术方式为单侧腺叶加峡部切除、病理类型为未分化癌、未作淋巴结清扫是甲状腺癌患者术后复发的独立危险因素(P 4 cm, lobectomy plus isthmus resection, undifferentiated carcinoma, did not undergo lymph node dissection were independent risk factors for recurrence with thyroid cancer ( P <0 . 05 ) . The risk of recurrence in patients with thyroid cancer function model expression was:h(t) =h0exp(3. 798 x1 +2. 721 x2 +5. 972 x3 +2. 679 x4). Conclusion:Tumor size, lobectomy plus isthmectomy, high degree of malignancy histopathology, and without lymph node dissection are the main risk factors for thyroid cancer recurrence.

  6. Prediction of postpartum blood transfusion – risk factors and recurrence

    DEFF Research Database (Denmark)

    Wikkelsø, Anne J; Hjortøe, Sofie; Gerds, Thomas A;

    2014-01-01

    OBJECTIVE: The aim was to find clinically useful risk factors for postpartum transfusion and to assess the joint predictive value in a population of women with a first and second delivery. METHODS: All Danish women with a first and second delivery from January 2001 to September 2009 who gave birth...... at a second vaginal delivery, and may also be used as an early predictor in parallel with a history of either placental abruption, postpartum transfusion or caesarean delivery. The positive predictive values of having more than one risk factor was low (2.2%-2.7%). CONCLUSIONS: Prediction of postpartum...

  7. Risk and prognosis of endometrial cancer after tamoxifen for breast cancer

    NARCIS (Netherlands)

    Bergman, L; Beelen, MLR; Gallee, MPW; Hollema, H; Benraadt, J; van Leeuwen, FE

    2000-01-01

    Background Tamoxifen increases the risk of endometrial cancer. However, few studies have produced reliable risk estimates by duration, dose, and recency of use, or addressed the prognosis of endometrial cancers in tamoxifen-treated women. Methods We did a nationwide case-control study on the risk an

  8. Colorectal cancer risk in hamartomatous polyposissyndromes

    Institute of Scientific and Technical Information of China (English)

    Fábio Guilherme Campos; Marleny Novaes Figueiredo; Carlos Augusto Real Martinez

    2015-01-01

    Colorectal cancer (CRC) is a major cause of morbidityand mortality around the world, and approximately 5%of them develop in a context of inherited mutationsleading to some form of familial colon cancer syndromes.Recognition and characterization of thesepatients have contributed to elucidate the genetic basisof CRC. Polyposis Syndromes may be categorized bythe predominant histological structure found within thepolyps. The aim of the present paper is to review themost important clinical features of the HamartomatousPolyposis Syndromes, a rare group of genetic disordersformed by the peutz-Jeghers syndrome, juvenil polyposissyndrome and PTEN Hamartoma Tumor Syndrome(Bannayan-Riley-Ruvalacaba and Cowden Syndromes).A literature search was performed in order to retrievethe most recent and important papers (articles,reviews, clinical cases and clinical guidelines) regardingthe studied subject. We searched for terms such as"hamartomatous polyposis syndromes", "Peutz-Jegherssyndrome", "juvenile polyposis syndrome", "juvenilepolyp", and "PTEN hamartoma tumour syndrome"(Cowden syndrome, Bananyan-Riley-Ruvalcaba). Thepresent article reports the wide spectrum of diseaseseverity and extraintestinal manifestations, with a specialfocus on their potential to develop colorectal and otherneoplasia. In the literature, the reported colorectalcancer risk for Juvenile Polyposis, Peutz-Jeghers andPTEN Hamartoma Tumor Syndromes are 39%-68%,39%-57% and 18%, respectively. A review regardingcancer surveillance recommendations is also presented.

  9. Reducing cancer risk in rural communities through supermarket interventions.

    Science.gov (United States)

    McCool, Barent N; Lyford, Conrad P; Hensarling, Natalie; Pence, Barbara; McCool, Audrey C; Thapa, Janani; Belasco, Eric; Carter, Tyra M

    2013-09-01

    Cancer risk is high, and prevention efforts are often minimal in rural communities. Feasible means of encouraging lifestyles that will reduce cancer risk for residents of rural communities are needed. This project developed and tested a model that could be feasibly adopted by rural communities to reduce cancer risk. This model focuses on incorporating multi-faceted cancer risk education in the local supermarket. As the supermarket functions both as the primary food source and an information source in small rural communities, the supermarket focus encourages the development of a community environment supportive of lifestyles that should reduce residents' risk for cancer. The actions taken to implement the model and the challenges that communities would have in implementing the model are identified.

  10. Religion and reduced cancer risk: what is the explanation?

    DEFF Research Database (Denmark)

    Hoff, Andreas; Johannessen-Henry, Christine Tind; Ross, Lone;

    2008-01-01

    40 years. In the studies in which adjustment was made only for age and sex, reductions were observed in the risks for lifestyle-associated cancers, i.e. those associated with tobacco smoking, alcohol consumption, diet, physical activity and reproductive factors. In the studies in which adjustment......Several studies of members of Christian religious communities have shown significantly lower risks for certain cancers amongst members than in the general population. We identified 17 epidemiological studies of the risk for cancer amongst members of Christian communities published during the past...... was also made for healthy habits, no reduction in risk for cancer was observed. We conclude that the most important factor in the correlation between membership in a religious Christian community and risk for cancer is the healthy lifestyle inherent in religious practice in these communities...

  11. Bladder cancer, a review of the environmental risk factors

    OpenAIRE

    Letašiová Silvia; Medveďová Alžbeta; Šovčíková Andrea; Dušinská Mária; Volkovová Katarína; Mosoiu Claudia; Bartonová Alena

    2012-01-01

    Abstract Background Many epidemiological studies and reviews have been performed to identify the causes of bladder cancer. The aim of this review is to investigate the links between various environmental risk factors and cancer of the bladder. Methods A systematic literature search was performed using PubMed, Science Direct, Scopus, Scholar Google and Russian Google databases to identify reviews and epidemiological studies on bladder cancer risk factors associated with the environment publish...

  12. Association of dialysis with the risks of cancers.

    Directory of Open Access Journals (Sweden)

    Ming Yen Lin

    Full Text Available To increase the survival span after dialysis in patients with end-stage renal disease (ESRD, identifying specific cancer risks is crucial in the cancer screening of these patients. The aim of this study was to investigate the risks of various cancers in an incident dialysis group in comparison with a non-dialysis group.We conducted a nationwide cohort study by using data from the Taiwan National Health Insurance Research Database. Patients who initially received long-term dialysis between January 1997 and December 2004, were selected and defined as the dialysis group and were matched with the non-dialysis patients (control group according to age, sex, and index year. Competing risk analysis was used to estimate cumulative incidence and subdistribution hazard ratios (SHRs of the first cancer occurrence.After consideration for the competing risk of mortality, the dialysis group showed a significantly higher 7-year cancer incidence rate than did the control group (6.4%; 95% confidence interval [CI], 6.0%-6.7% vs 1.7%; 95% CI, 1.4%-2.1%; P <0.001.The modified Cox proportional hazard model revealed that the dialysis group had significantly association with increased risks for all cancers (SHR, 3.43; 95% CI, 3.02-3.88. The risk of cancers was dominated in younger and female patients. Specific cancer risks were significantly higher in the dialysis group particularly in the development of oral, colorectal, liver, blood, breast, renal, upper urinary tract, and bladder cancer than in the control group. Multivariable stratified analyses confirmed the association between long-term dialysis and cancer in all subgroups of patients.Dialysis is associated with a higher risk of cancer in patients with ESRD. However, cancer screening in ESRD population should be a selective approach, based on individual patient health condition and life expectancy.

  13. Mediterranean Dietary Pattern and Risk of Breast Cancer

    OpenAIRE

    Elisabeth Couto; Sven Sandin; Marie Löf; Giske Ursin; Hans-Olov Adami; Elisabete Weiderpass

    2013-01-01

    Background A Mediterranean diet has a recognized beneficial effect on health and longevity, with a protective influence on several cancers. However, its association with breast cancer risk remains unclear. Objective We aimed to investigate whether adherence to a Mediterranean dietary pattern influences breast cancer risk. Design The Swedish Women’s Lifestyle and Health cohort study includes 49,258 women aged 30 to 49 years at recruitment in 1991–1992. Consumption of foods and beverages was me...

  14. Selected micronutrient intake and the risk of colorectal cancer.

    OpenAIRE

    Ferraroni, M; La Vecchia, C.; D'Avanzo, B; De Negri, E.; Franceschi, S; Decarli, A

    1994-01-01

    The relationship between estimated intake of selected micronutrients and the risk of colorectal cancer was analysed using data from a case-control study conducted in northern Italy. The study was based on 828 patients with colon cancer, 498 with rectal cancer and 2,024 controls in hospital for acute, non-neoplastic, non-digestive tract diseases. Relative risks (RRs) of intake quintiles were computed after allowance for age, sex and other major potential confounding factors, including an estim...

  15. Targeted Cancer Screening in Average-Risk Individuals.

    Science.gov (United States)

    Marcus, Pamela M; Freedman, Andrew N; Khoury, Muin J

    2015-11-01

    Targeted cancer screening refers to use of disease risk information to identify those most likely to benefit from screening. Researchers have begun to explore the possibility of refining screening regimens for average-risk individuals using genetic and non-genetic risk factors and previous screening experience. Average-risk individuals are those not known to be at substantially elevated risk, including those without known inherited predisposition, without comorbidities known to increase cancer risk, and without previous diagnosis of cancer or pre-cancer. In this paper, we describe the goals of targeted cancer screening in average-risk individuals, present factors on which cancer screening has been targeted, discuss inclusion of targeting in screening guidelines issued by major U.S. professional organizations, and present evidence to support or question such inclusion. Screening guidelines for average-risk individuals currently target age; smoking (lung cancer only); and, in some instances, race; family history of cancer; and previous negative screening history (cervical cancer only). No guidelines include common genomic polymorphisms. RCTs suggest that targeting certain ages and smoking histories reduces disease-specific cancer mortality, although some guidelines extend ages and smoking histories based on statistical modeling. Guidelines that are based on modestly elevated disease risk typically have either no or little evidence of an ability to affect a mortality benefit. In time, targeted cancer screening is likely to include genetic factors and past screening experience as well as non-genetic factors other than age, smoking, and race, but it is of utmost importance that clinical implementation be evidence-based.

  16. Cancer risk of patients discharged with acute myocardial infarct

    DEFF Research Database (Denmark)

    Dreyer, L; Olsen, J H

    1998-01-01

    We studied whether common shared environmental or behavioral risk factors, other than tobacco smoking, underlie both atherosclerotic diseases and cancer. We identified a group of 96,891 one-year survivors of acute myocardial infarct through the Danish Hospital Discharge Register between 1977...... and 1989. We calculated the incidence of cancer in this group by linking it to the Danish Cancer Registry for the period 1978-1993. There was no consistent excess over the expected figures for any of the categories of cancer not related to tobacco smoking. Specifically, the rates of colorectal cancer...... in acute myocardial infarct patients were similar to those of the general population, as were the rates for hormone-related cancers, including endometrial and postmenopausal breast cancers. We found a moderate increase in the risk for tobacco-related cancers, which was strongest for patients with early...

  17. Cancer Genetic Counselor Information Needs for Risk Communication: A Qualitative Evaluation of Interview Transcripts

    OpenAIRE

    George Hripcsak; Rita Kukafka; Chung, Wendy K.; Casey Lynnette Overby

    2013-01-01

    Personalized medicine is a model of healthcare that is predictive, personalized, preventive and participatory (“P4 Medicine”). Genetic counselors are an ideal group to study when designing tools to support cancer P4 Medicine activities more broadly. The goal for this work was to gain a better understanding of the information cancer genetic counselors seek from their patients to facilitate effective information exchange for discussing risk. This was an analysis of a qualitative data set from i...

  18. Risk for unemployment of cancer survivors: A Danish cohort study

    DEFF Research Database (Denmark)

    Carlsen, Kathrine; Dalton, Susanne Oksbjerg; Diderichsen, Finn;

    2008-01-01

    AIM: To investigate whether cancer survivors are at an increased risk for unemployment after cancer. MATERIALS AND METHODS: A cohort of 65,510 patients who were part of the workforce in the year before diagnosis and a random sample of 316,925 age and gender-matched controls were followed for up to...... that the risk for unemployment was highest amongst persons aged 50-60 years at time of diagnosis. Risk factors for unemployment were found to be manual work, medium income and vocational education. CONCLUSION: Generally, cancer patients were at a small increased risk for unemployment and low...

  19. Fuzzy logic-based prognostic score for outcome prediction in esophageal cancer.

    Science.gov (United States)

    Wang, Chang-Yu; Lee, Tsair-Fwu; Fang, Chun-Hsiung; Chou, Jyh-Horng

    2012-11-01

    Given the poor prognosis of esophageal cancer and the invasiveness of combined modality treatment, improved prognostic scoring systems are needed. We developed a fuzzy logic-based system to improve the predictive performance of a risk score based on the serum concentrations of C-reactive protein (CRP) and albumin in a cohort of 271 patients with esophageal cancer before radiotherapy. Univariate and multivariate survival analyses were employed to validate the independent prognostic value of the fuzzy risk score. To further compare the predictive performance of the fuzzy risk score with other prognostic scoring systems, time-dependent receiver operating characteristic curve (ROC) analysis was used. Application of fuzzy logic to the serum values of CRP and albumin increased predictive performance for 1-year overall survival (AUC=0.773) compared with that of a single marker (AUC=0.743 and 0.700 for CRP and albumin, respectively), where the AUC denotes the area under curve. This fuzzy logic-based approach also performed consistently better than the Glasgow Prognostic Score (GPS) (AUC=0.745). Thus, application of fuzzy logic to the analysis of serum markers can more accurately predict the outcome for patients with esophageal cancer.

  20. Predicting adolescent's cyberbullying behavior: A longitudinal risk analysis.

    Science.gov (United States)

    Barlett, Christopher P

    2015-06-01

    The current study used the risk factor approach to test the unique and combined influence of several possible risk factors for cyberbullying attitudes and behavior using a four-wave longitudinal design with an adolescent US sample. Participants (N = 96; average age = 15.50 years) completed measures of cyberbullying attitudes, perceptions of anonymity, cyberbullying behavior, and demographics four times throughout the academic school year. Several logistic regression equations were used to test the contribution of these possible risk factors. Results showed that (a) cyberbullying attitudes and previous cyberbullying behavior were important unique risk factors for later cyberbullying behavior, (b) anonymity and previous cyberbullying behavior were valid risk factors for later cyberbullying attitudes, and (c) the likelihood of engaging in later cyberbullying behavior increased with the addition of risk factors. Overall, results show the unique and combined influence of such risk factors for predicting later cyberbullying behavior. Results are discussed in terms of theory.

  1. Predicting the Risk of Secondary Lung Malignancies Associated With Whole-Breast Radiation Therapy

    International Nuclear Information System (INIS)

    Purpose: The risk of secondary lung malignancy (SLM) is a significant concern for women treated with whole-breast radiation therapy after breast-conserving surgery for early-stage breast cancer. In this study, a biologically based secondary malignancy model was used to quantify the risk of secondary lung malignancies (SLMs) associated with several common methods of delivering whole-breast radiation therapy (RT). Methods and Materials: Both supine and prone computed tomography simulations of 15 women with early breast cancer were used to generate standard fractionated and hypofractionated whole-breast RT treatment plans for each patient. Dose–volume histograms (DVHs) of the ipsilateral breast and lung were calculated for each patient on each plan. A model of spontaneous and radiation-induced carcinogenesis was used to determine the relative risks of SLMs for the different treatment techniques. Results: A higher risk of SLMs was predicted for supine breast irradiation when compared with prone breast irradiation for both the standard fractionation and hypofractionation schedules (relative risk [RR] = 2.59, 95% confidence interval (CI) = 2.30–2.88, and RR = 2.68, 95% CI = 2.39–2.98, respectively). No difference in risk of SLMs was noted between standard fractionation and hypofractionation schedules in either the supine position (RR = 1.05, 95% CI = 0.97–1.14) or the prone position (RR = 1.01, 95% CI = 0.88–1.15). Conclusions: Compared with supine whole-breast irradiation, prone breast irradiation is associated with a significantly lower predicted risk of secondary lung malignancy. In this modeling study, fractionation schedule did not have an impact on the risk of SLMs in women treated with whole-breast RT for early breast cancer.

  2. Examining intuitive risk perceptions for cancer in diverse populations

    Science.gov (United States)

    Hay, Jennifer L.; Baser, Raymond; Weinstein, Neil D.; Li, Yuelin; Primavera, Louis; Kemeny, M. Margaret

    2014-01-01

    In this article we examine intuitive dimensions of personal cancer risk likelihood, which theory and empirical evidence indicate may be important elements in the risk perception process. We draw on data from a study of risk perceptions in three social groups, university students, men living in the community, and primary care patients living in urban area. The study took place in 2007-2011, in New York State (Garden City and New York City) and Boston, Massachusetts. This study used items developed from categories identified in prior qualitative research specifying emotions and attitudes activated in cancer risk determination to examine perception of cancer risks. Across three samples - university students (N=568), community men (N=182), and diverse, urban primary care patients (N=127) - we conducted exploratory factor and construct analyses. We found that the most reliable two factors within the five-factor solution were Cognitive Causation, tapping beliefs that risk thoughts may encourage cancer development, and Negative Affect in Risk, assessing negative feelings generated during the risk perception process. For these factors, there were high levels of item endorsement, especially in minority groups, and only modest associations with established cancer risk perception and worry assessments, indicating novel content. These items may prove useful in measuring and comparing intuitive cancer risk perceptions across diverse population subgroups. PMID:24999304

  3. 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.

  4. Emerging markers of cachexia predict survival in cancer patients

    OpenAIRE

    MONDELLO, PATRIZIA; Lacquaniti, Antonio; Mondello, Stefania; Bolignano, Davide; Pitini, Vincenzo; Aloisi, Carmela; Buemi, Michele

    2014-01-01

    Background Cachexia may occur in 40% of cancer patients, representing the major cause of death in more than 20% of them. The aim of this study was to investigate the role of leptin, ghrelin and obestatin as diagnostic and predictive markers of cachexia in oncologic patients. Their impact on patient survival was also evaluated. Methods 140 adults with different cancer diagnoses were recruited. Thirty healthy volunteers served as control. Serum ghrelin, obestatin and leptin were tested at basel...

  5. Predicting delayed anxiety and depression in patients with gastrointestinal cancer

    OpenAIRE

    Nordin, K; Glimelius, B.

    1999-01-01

    The aim of this study was to examine the possibility of predicting anxiety and depression 6 months after a cancer diagnosis on the basis of measures of anxiety, depression, coping and subjective distress associated with the diagnosis and to explore the possibility of identifying individual patients with high levels of delayed anxiety and depression associated with the diagnosis. A consecutive series of 159 patients with gastrointestinal cancer were interviewed in connection with the diagnosis...

  6. Circulating High-Molecular-Weight (HMW) Adiponectin Level Is Related with Breast Cancer Risk Better than Total Adiponectin: A Case-Control Study.

    Science.gov (United States)

    Guo, Ming-ming; Duan, Xue-ning; Cui, Shu-de; Tian, Fu-guo; Cao, Xu-chen; Geng, Cui-zhi; Fan, Zhi-min; Wang, Xiang; Wang, Shu; Jiang, Hong-chuan; Zhang, Jian-guo; Jin, Feng; Tang, Jin-hai; Liang, Hong; Yang, Zhen-lin; Wang, Hai-bo; Wang, Qi-tang; Li, Guo-lou; Li, Liang; Zhu, Shi-guang; Zuo, Wen-shu; Liu, Li-yuan; Wang, Lu; Ma, Dan-dan; Liu, Shu-chen; Xiang, Yu-juan; Liu, Lu; Ye, Chun-miao; Zhou, Wen-zhong; Wang, Fei; Yu, Li-xiang; Ma, Zhong-bing; Yu, Zhi-gang

    2015-01-01

    The level of total adiponectin, a mixture of different adiponectin forms, has been reported associated with breast cancer risk with inconsistent results. Whether the different forms play different roles in breast cancer risk prediction is unclear. To examine this, we measured total and high molecular weight (HMW) adiponectin in a case-control study (1167 sets). Higher circulating HMW adiponectin was negatively associated with breast cancer risk after adjusting for menopausal status and family history of breast cancer (P=0.024). We analyzed the relationship between adiponectin and breast cancer risk in 6 subgroups. Higher circulating HMW adiponectin was also negatively associated with breast cancer risk (P=0.020, 0.014, 0.035) in the subgroups of postmenopausal women, negative family history of breast cancer, BMI>=24.0. Total adiponectin was positively associated with breast cancer (P=0.028) in the subgroup of BMIbreast cancer risk (P=0.034, 0.0116). This study showed different forms of circulating adiponectin levels might play different roles in breast cancer risk. A higher circulating HMW adiponectin is associated with a decreased breast cancer risk, especially in postmenopausal, without family history of breast cancer or BMI>=24.0 subgroups, whereas higher circulating HMW adiponectin levels is a risk factor in women with a family history of breast cancer. Further investigation of different forms of adiponectin on breast cancer risk is needed.

  7. Lifestyle risk factors for oral cancer.

    Science.gov (United States)

    Petti, Stefano

    2009-01-01

    The "style of life is the unique way in which individuals try to realize their fictional final goal and meet or avoid the three main tasks of life: work, community, love" (Alfred Adler, founder of the Individual Psychology). Lifestyle refers to the way individuals live their lives and how they handle problems and interpersonal relations. The lifestyle behaviours associated to oral cancer with convincing evidence are tobacco use, betel quid chewing, alcohol drinking, low fruit and vegetable consumption (the detrimental lifestyle is high fat and/or sugar intake, resulting in low fruit and/or vegetable intake). Worldwide, 25% of oral cancers are attributable to tobacco usage (smoking and/or chewing), 7-19% to alcohol drinking, 10-15% to micronutrient deficiency, more than 50% to betel quid chewing in areas of high chewing prevalence. Carcinogenicity is dose-dependent and magnified by multiple exposures. Conversely, low and single exposures do not significantly increase oral cancer risk. These behaviours have common characteristics: (i) they are widespread: one billion men, 250 million women smoke cigarettes, 600-1200 million people chew betel quid, two billion consume alcohol, unbalanced diet is common amongst developed and developing countries; (ii) they were already used by animals and human forerunners millions of years ago because they were essential to overcome conditions such as cold, hunger, famine; their use was seasonal and limited by low availability, in contrast with the pattern of consumption of the modern era, characterized by routine, heavy usage, for recreational activities and with multiple exposures; (iii) their consumption in small doses is not recognized as detrimental by the human body and activates the dopaminergic reward system of the brain, thus giving instant pleasure, "liking" (overconsumption) and "wanting" (craving). For these reasons, effective Public Health measures aimed at preventing oral cancer and other lifestyle-related conditions

  8. Lifestyle risk factors for oral cancer.

    Science.gov (United States)

    Petti, Stefano

    2009-01-01

    The "style of life is the unique way in which individuals try to realize their fictional final goal and meet or avoid the three main tasks of life: work, community, love" (Alfred Adler, founder of the Individual Psychology). Lifestyle refers to the way individuals live their lives and how they handle problems and interpersonal relations. The lifestyle behaviours associated to oral cancer with convincing evidence are tobacco use, betel quid chewing, alcohol drinking, low fruit and vegetable consumption (the detrimental lifestyle is high fat and/or sugar intake, resulting in low fruit and/or vegetable intake). Worldwide, 25% of oral cancers are attributable to tobacco usage (smoking and/or chewing), 7-19% to alcohol drinking, 10-15% to micronutrient deficiency, more than 50% to betel quid chewing in areas of high chewing prevalence. Carcinogenicity is dose-dependent and magnified by multiple exposures. Conversely, low and single exposures do not significantly increase oral cancer risk. These behaviours have common characteristics: (i) they are widespread: one billion men, 250 million women smoke cigarettes, 600-1200 million people chew betel quid, two billion consume alcohol, unbalanced diet is common amongst developed and developing countries; (ii) they were already used by animals and human forerunners millions of years ago because they were essential to overcome conditions such as cold, hunger, famine; their use was seasonal and limited by low availability, in contrast with the pattern of consumption of the modern era, characterized by routine, heavy usage, for recreational activities and with multiple exposures; (iii) their consumption in small doses is not recognized as detrimental by the human body and activates the dopaminergic reward system of the brain, thus giving instant pleasure, "liking" (overconsumption) and "wanting" (craving). For these reasons, effective Public Health measures aimed at preventing oral cancer and other lifestyle-related conditions

  9. Predicting stroke through genetic risk functions the CHARGE risk score project

    NARCIS (Netherlands)

    C.A. Ibrahim-Verbaas (Carla); M. Fornage (Myriam); J.C. Bis (Joshua); S.-H. Choi (Seung-Hoan); B.M. Psaty (Bruce); J.B. Meigs (James); M. Rao (Madhu); M.A. Nalls (Michael); M. Fontes (Michel); C.J. O'Donnell (Christopher); S. Kathiresan (Sekar); G.B. Ehret (Georg); C.S. Fox (Caroline); R. Malik (Rainer); C. Kubisch (Christian); R. Schmidt (Reinhold); J. Lahti (Jari); S.R. Heckbert (Susan); T. Lumley (Thomas); K.M. Rice (Kenneth); J.I. Rotter (Jerome); K.D. Taylor (Kent); A.R. Folsom (Aaron); E.A. Boerwinkle (Eric); W.D. Rosamond (Wayne); E. Shahar (Eyal); R.F. Gottesman (Rebecca); P.J. Koudstaal (Peter Jan); N. Amin (Najaf); R.G. Wieberdink (Renske); A. Dehghan (Abbas); A. Hofman (Albert); A.G. Uitterlinden (André); A.L. DeStefano (Anita); S. Debette (Stéphanie); L. Xue (Luting); A. Beiser (Alexa); P.A. Wolf (Philip); C. DeCarli (Charles); M.A. Ikram (Arfan); S. Seshadri (Sudha); T.H. Mosley (Thomas); W.T. Longstreth Jr; C.M. van Duijn (Cock); L.J. Launer (Lenore)

    2014-01-01

    textabstractBackground and Purpose - Beyond the Framingham Stroke Risk Score, prediction of future stroke may improve with a genetic risk score (GRS) based on single-nucleotide polymorphisms associated with stroke and its risk factors. Methods - The study includes 4 population-based cohorts with 204

  10. Familial risks and estrogen receptor-positive breast cancer in Hong Kong Chinese women.

    Directory of Open Access Journals (Sweden)

    Lap Ah Tse

    Full Text Available The role of family history to the risk of breast cancer was analyzed by incorporating menopausal status in Hong Kong Chinese women, with a particular respect to the estrogen receptor-positive (ER+ type.Seven hundred and forty seven breast cancer incident cases and 781 hospital controls who had completed information on family cancer history in first-degree relatives (nature father, mother, and siblings were recruited. Odds ratio for breast cancer were calculated by unconditional multiple logistic regression, stratified by menopausal status (a surrogate of endogenous female sex hormone level and age and type of relative affected with the disease. Further subgroup analysis by tumor type according to ER status was investigated.Altogether 52 (6.96% breast cancer cases and 23 (2.95% controls was found that the patients' one or more first-degree relatives had a history of breast cancer, showing an adjusted odds ratio (OR of 2.41 (95%CI: 1.45-4.02. An excess risk of breast cancer was restricted to the ER+ tumor (OR = 2.43, 95% CI: 1.38-4.28, with a relatively higher risk associated with an affected mother (OR = 3.97, 95%CI: 1.46-10.79 than an affected sister (OR = 2.06, 95%CI: 1.07-3.97, while the relative risk was more prominent in the subgroup of pre-menopausal women. Compared with the breast cancer overall, the familial risks to the ER+ tumor increased progressively with the number of affected first-degree relatives.This study provides new insights on a relationship between family breast cancer history, menopausal status, and the ER+ breast cancer. A separate risk prediction model for ER+ tumor in Asian population is desired.

  11. Gene panel model predictive of outcome in patients with prostate cancer.

    Science.gov (United States)

    Rabiau, Nadège; Dantal, Yann; Guy, Laurent; Ngollo, Marjolaine; Dagdemir, Aslihan; Kemeny, Jean-Louis; Terris, Benoît; Vieillefond, Annick; Boiteux, Jean-Paul; Bignon, Yves-Jean; Bernard-Gallon, Dominique

    2013-08-01

    In men at high risk for prostate cancer, established clinical and pathological parameters provide only limited prognostic information. Here we analyzed a French cohort of 103 prostate cancer patients and developed a gene panel model predictive of outcome in this group of patients. The model comprised of a 15-gene TaqMan Low-Density Array (TLDA) card, with gene expressions compared to a standardized reference. The RQ value for each gene was calculated, and a scoring system was developed. Summing all the binary scores (0 or 1) corresponding to the 15 genes, a global score is obtained between 0 and 15. This global score can be compared to Gleason score (0 to 10) by recalculating it into a 0-10 scaled score. A scaled score ≥2 suggested that the patient is suffering from a prostate cancer, and a scaled score ≥7 flagged aggressive cancer. Statistical analyses demonstrated a strongly significant linear correlation (p=3.50E-08) between scaled score and Gleason score for this prostate cancer cohort (N=103). These results support the capacity of this designed 15 target gene TLDA card approach to predict outcome in prostate cancer, opening up a new avenue for personalized medicine through future independent replication and applications for rapid identification of aggressive prostate cancer phenotypes for early intervention.

  12. High-risk nonmuscle invasive bladder cancer: Definition and epidemiology

    OpenAIRE

    Porten, SP; Cooperberg, MR

    2012-01-01

    PURPOSE OF REVIEW: Nonmuscle invasive bladder cancer represents a large majority of patients diagnosed with this disease. Precise definition and risk stratification are paramount in this group as high-risk patients have higher rates of progression and mortality and may benefit from early identification and aggressive treatment. RECENT FINDINGS: The mainstay definitions of high-risk nonmuscle invasive bladder cancer are based on grade and stage. Recently, efforts have been made to incorporate ...

  13. Exemestane Reduces Breast Cancer Risk in High-Risk Postmenopausal Women

    Science.gov (United States)

    Clinical trial results presented at the 2011 ASCO annual meeting showed that the aromatase inhibitor exemestane—used to treat early and advanced breast cancer—substantially reduced the risk of invasive breast cancer in high-risk postmenopausal women.

  14. Prospective cohort study of general and central obesity, weight change trajectory and risk of major cancers among Chinese women.

    Science.gov (United States)

    Liu, Ying; Warren Andersen, Shaneda; Wen, Wanqing; Gao, Yu-Tang; Lan, Qing; Rothman, Nathaniel; Ji, Bu-Tian; Yang, Gong; Xiang, Yong-Bing; Shu, Xiao-Ou; Zheng, Wei

    2016-10-01

    General obesity, typically measured using body mass index (BMI), has been associated with an increased risk of several cancers. However, few prospective studies have been conducted in Asian populations. Although central obesity, often measured using waist-hip ratio (WHR), is more predictive for type 2 diabetes and cardiovascular diseases (CVD) risk than BMI, knowledge of its association with cancer incidence is limited. In a cohort of 68,253 eligible Chinese women, we prospectively investigated the association of BMI, WHR and weight change during adulthood with risk of overall cancer and major site-specific cancers using multivariate Cox proportional hazard models. Compared to the BMI group of 18.5-22.9 kg/m(2) , obese (BMI ≥ 30 kg/m(2) ) women were at an increased risk of developing overall cancer (hazard ratio = 1.36, 95% confidence interval = 1.21-1.52), postmenopausal breast cancer (HR: 2.43, 95% CI: 1.73-3.40), endometrial cancer (HR: 5.34, 95% CI: 3.48-8.18), liver cancer (HR: 1.93, 95% CI: 1.14-3.27) and epithelial ovarian cancer (HR: 2.44, 95% CI: 1.37-4.35). Weight gain during adulthood (per 5 kg gain) was associated with increased risk of all cancers combined (HR: 1.05, 95% CI: 1.03-1.08), postmenopausal breast cancer (HR: 1.17, 95% CI: 1.10-1.24) and endometrial cancer (HR: 1.37, 95% CI: 1.27-1.48). On the other hand, WHR was not associated with cancer risk after adjustment for baseline BMI. These findings suggest that obesity may be associated with cancer risk through different mechanisms from those for type 2 diabetes and CVD and support measures of maintaining health body weight to reduce cancer risk in Chinese women. PMID:27177094

  15. Reformulating Suicide Risk Formulation: From Prediction to Prevention.

    Science.gov (United States)

    Pisani, Anthony R; Murrie, Daniel C; Silverman, Morton M

    2016-08-01

    Psychiatrists-in-training typically learn that assessments of suicide risk should culminate in a probability judgment expressed as "low," "moderate," or "high." This way of formulating risk has predominated in psychiatric education and practice, despite little evidence for its validity, reliability, or utility. We present a model for teaching and communicating suicide risk assessments without categorical predictions. Instead, we propose risk formulations which synthesize data into four distinct judgments to directly inform intervention plans: (1) risk status (the patient's risk relative to a specified subpopulation), (2) risk state (the patient's risk compared to baseline or other specified time points), (3) available resources from which the patient can draw in crisis, and (4) foreseeable changes that may exacerbate risk. An example case illustrates the conceptual shift from a predictive to a preventive formulation, and we outline steps taken to implement the model in an academic psychiatry setting. Our goal is to inform educational leaders, as well as individual educators, who can together cast a prevention-oriented vision in their academic programs. PMID:26667005

  16. Evaluating shielding effectiveness for reducing space radiation cancer risks

    International Nuclear Information System (INIS)

    We discuss calculations of probability distribution functions (PDF) representing uncertainties in projecting fatal cancer risk from galactic cosmic rays (GCR) and solar particle events (SPE). The PDFs are used in significance tests for evaluating the effectiveness of potential radiation shielding approaches. Uncertainties in risk coefficients determined from epidemiology data, dose and dose-rate reduction factors, quality factors, and physics models of radiation environments are considered in models of cancer risk PDFs. Competing mortality risks and functional correlations in radiation quality factor uncertainties are included in the calculations. We show that the cancer risk uncertainty, defined as the ratio of the upper value of 95% confidence interval (CI) to the point estimate is about 4-fold for lunar and Mars mission risk projections. For short-stay lunar missions (180d) or Mars missions, GCR risks may exceed radiation risk limits that are based on acceptable levels of risk. For example, the upper 95% CI exceeding 10% fatal risk for males and females on a Mars mission. For reducing GCR cancer risks, shielding materials are marginally effective because of the penetrating nature of GCR and secondary radiation produced in tissue by relativistic particles. At the present time, polyethylene or carbon composite shielding cannot be shown to significantly reduce risk compared to aluminum shielding based on a significance test that accounts for radiobiology uncertainties in GCR risk projection

  17. Evaluating Shielding Effectiveness for Reducing Space Radiation Cancer Risks

    Science.gov (United States)

    Cucinotta, Francis A.; Kim, Myung-Hee Y.; Ren, Lei

    2007-01-01

    We discuss calculations of probability distribution functions (PDF) representing uncertainties in projecting fatal cancer risk from galactic cosmic rays (GCR) and solar particle events (SPE). The PDF s are used in significance tests of the effectiveness of potential radiation shielding approaches. Uncertainties in risk coefficients determined from epidemiology data, dose and dose-rate reduction factors, quality factors, and physics models of radiation environments are considered in models of cancer risk PDF s. Competing mortality risks and functional correlations in radiation quality factor uncertainties are treated in the calculations. We show that the cancer risk uncertainty, defined as the ratio of the 95% confidence level (CL) to the point estimate is about 4-fold for lunar and Mars mission risk projections. For short-stay lunar missions (risk, however one that is mitigated effectively by shielding, especially for carbon composites structures with high hydrogen content. In contrast, for long duration lunar (>180 d) or Mars missions, GCR risks may exceed radiation risk limits, with 95% CL s exceeding 10% fatal risk for males and females on a Mars mission. For reducing GCR cancer risks, shielding materials are marginally effective because of the penetrating nature of GCR and secondary radiation produced in tissue by relativistic particles. At the present time, polyethylene or carbon composite shielding can not be shown to significantly reduce risk compared to aluminum shielding based on a significance test that accounts for radiobiology uncertainties in GCR risk projection.

  18. Irregular menses predicts ovarian cancer: Prospective evidence from the Child Health and Development Studies.

    Science.gov (United States)

    Cirillo, Piera M; Wang, Erica T; Cedars, Marcelle I; Chen, Lee-May; Cohn, Barbara A

    2016-09-01

    We tested the hypothesis that irregular menstruation predicts lower risk for ovarian cancer, possibly due to less frequent ovulation. We conducted a 50-year prospective study of 15,528 mothers in the Child Health and Development Studies cohort recruited from the Kaiser Foundation Health Plan from 1959 to 1966. Irregular menstruation was classified via medical record and self-report at age 26. We identified 116 cases and 84 deaths due to ovarian cancer through 2011 via linkage to the California Cancer Registry and Vital Statistics. Contrary to expectation, women with irregular menstrual cycles had a higher risk of ovarian cancer incidence and mortality over the 50-year follow-up. Associations increased with age (p age 70 (95% confidence interval [CI] = 1.1, 3.4) rising to a 3-fold increase by age 77 (95% CI = 1.5, 6.7 for incidence; 95% CI = 1.4, 5.9 for mortality). We also found a 3-fold higher risk of mortality for high-grade serous tumors (95% CI = 1.3, 7.6) that did not vary by age. This is the first prospective study to show an association between irregular menstruation and ovarian cancer-we unexpectedly found higher risk for women with irregular cycles. These women are easy to identify and many may have polycystic ovarian syndrome. Classifying high-risk phenotypes such as irregular menstruation creates opportunities to find novel early biomarkers, refine clinical screening protocols and potentially develop new risk reduction strategies. These efforts can lead to earlier detection and better survival for ovarian cancer. PMID:27082375

  19. Assessing patients' risk of febrile neutropenia: is there a correlation between physician-assessed risk and model-predicted risk?

    Science.gov (United States)

    Lyman, Gary H; Dale, David C; Legg, Jason C; Abella, Esteban; Morrow, Phuong Khanh; Whittaker, Sadie; Crawford, Jeffrey

    2015-08-01

    This study evaluated the correlation between the risk of febrile neutropenia (FN) estimated by physicians and the risk of severe neutropenia or FN predicted by a validated multivariate model in patients with nonmyeloid malignancies receiving chemotherapy. Before patient enrollment, physician and site characteristics were recorded, and physicians self-reported the FN risk at which they would typically consider granulocyte colony-stimulating factor (G-CSF) primary prophylaxis (FN risk intervention threshold). For each patient, physicians electronically recorded their estimated FN risk, orders for G-CSF primary prophylaxis (yes/no), and patient characteristics for model predictions. Correlations between physician-assessed FN risk and model-predicted risk (primary endpoints) and between physician-assessed FN risk and G-CSF orders were calculated. Overall, 124 community-based oncologists registered; 944 patients initiating chemotherapy with intermediate FN risk enrolled. Median physician-assessed FN risk over all chemotherapy cycles was 20.0%, and median model-predicted risk was 17.9%; the correlation was 0.249 (95% CI, 0.179-0.316). The correlation between physician-assessed FN risk and subsequent orders for G-CSF primary prophylaxis (n = 634) was 0.313 (95% CI, 0.135-0.472). Among patients with a physician-assessed FN risk ≥ 20%, 14% did not receive G-CSF orders. G-CSF was not ordered for 16% of patients at or above their physician's self-reported FN risk intervention threshold (median, 20.0%) and was ordered for 21% below the threshold. Physician-assessed FN risk and model-predicted risk correlated weakly; however, there was moderate correlation between physician-assessed FN risk and orders for G-CSF primary prophylaxis. Further research and education on FN risk factors and appropriate G-CSF use are needed.

  20. Utility functions predict variance and skewness risk preferences in monkeys.

    Science.gov (United States)

    Genest, Wilfried; Stauffer, William R; Schultz, Wolfram

    2016-07-26

    Utility is the fundamental variable thought to underlie economic choices. In particular, utility functions are believed to reflect preferences toward risk, a key decision variable in many real-life situations. To assess the validity of utility representations, it is therefore important to examine risk preferences. In turn, this approach requires formal definitions of risk. A standard approach is to focus on the variance of reward distributions (variance-risk). In this study, we also examined a form of risk related to the skewness of reward distributions (skewness-risk). Thus, we tested the extent to which empirically derived utility functions predicted preferences for variance-risk and skewness-risk in macaques. The expected utilities calculated for various symmetrical and skewed gambles served to define formally the direction of stochastic dominance between gambles. In direct choices, the animals' preferences followed both second-order (variance) and third-order (skewness) stochastic dominance. Specifically, for gambles with different variance but identical expected values (EVs), the monkeys preferred high-variance gambles at low EVs and low-variance gambles at high EVs; in gambles with different skewness but identical EVs and variances, the animals preferred positively over symmetrical and negatively skewed gambles in a strongly transitive fashion. Thus, the utility functions predicted the animals' preferences for variance-risk and skewness-risk. Using these well-defined forms of risk, this study shows that monkeys' choices conform to the internal reward valuations suggested by their utility functions. This result implies a representation of utility in monkeys that accounts for both variance-risk and skewness-risk preferences.