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Medicine and Health Sciences Commons

Open Access. Powered by Scholars. Published by Universities.®

Dartmouth Scholarship

2015

Breast cancer

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Full-Text Articles in Medicine and Health Sciences

Willingness To Test For Brca1/2 In High Risk Women: Influenced By Risk Perception And Family Experience, Rather Than By Objective Or Subjective Numeracy?, Talya Miron-Shatz, Yaniv Hanoch, Benjamin A. Katz, Glen M. Doniger, Elissa M. Ozanne Jul 2015

Willingness To Test For Brca1/2 In High Risk Women: Influenced By Risk Perception And Family Experience, Rather Than By Objective Or Subjective Numeracy?, Talya Miron-Shatz, Yaniv Hanoch, Benjamin A. Katz, Glen M. Doniger, Elissa M. Ozanne

Dartmouth Scholarship

Genetic testing for breast and ovarian cancer can help target prevention programs, and possibly reduce morbidity and mortality. A positive result of BRCA1/2 is a substantial risk factor for breast and ovarian cancer, and its detection often leads to risk reduction interventions such as increased screening, prophylactic mastectomy and oophorectomy. We examined predictors of the decision to undergo cancer related genetic testing: perceived risk, family risk of breast or ovarian cancer, and numeracy as predictors of the decision to test among women at high risk of breast cancer. Stepwise regression analysis of survey responses from 459 women registered in the …


Integrative Analysis Of Survival-Associated Gene Sets In Breast Cancer, Frederick S. Varn, Matthew H. Ung, Shao Ke Lou, Chao Cheng Mar 2015

Integrative Analysis Of Survival-Associated Gene Sets In Breast Cancer, Frederick S. Varn, Matthew H. Ung, Shao Ke Lou, Chao Cheng

Dartmouth Scholarship

Patient gene expression information has recently become a clinical feature used to evaluate breast cancer prognosis. The emergence of prognostic gene sets that take advantage of these data has led to a rich library of information that can be used to characterize the molecular nature of a patient’s cancer. Identifying robust gene sets that are consistently predictive of a patient’s clinical outcome has become one of the main challenges in the field. We inputted our previously established BASE algorithm with patient gene expression data and gene sets from MSigDB to develop the gene set activity score (GSAS), a metric that …