SNP Panels and Risk Assessment in Women Undergoing Mammography
Calculating the risk that a woman will develop breast cancer in her lifetime can lead to
decreased mortality rates as a result of increased screening and prevention methods when a
person is known to be at high risk. Though there are several risk assessment models that
are commonly used, it is important to continue to improve the process of calculating risk.
Several genetic markers have been noted to potentially indicate risk of developing breast
cancer. New tests, called SNP panels, can detect some of these genetic markers. This study
aims to use both these SNP panels and the commonly used risk models to calculate risk and
examine outcomes in women coming in to do screening mammography. This study will enroll
women between the ages of 40-65 who are undergoing screening mammography (n=1000), in
addition to women with BIRADS category 4 mammogram readings who are about to undergo biopsy
(n=600), all with no personal history of breast or ovarian cancer, ductal carcinoma in situ
(DCIS), mantle radiation, or known BRCA 1/2/mutation in self or family members. The
participants will only be expected rto provide consent, swabs of the inside of the cheek of
her mouth, and baseline questionnaire answers that will allow for a risk assessment to be
performed.
Observational
Observational Model: Cohort, Time Perspective: Prospective
Predicted Risk Category and Prevention Recommendations
The predicted risk category and prevention recommendations which are based upon the category each patient falls into after risk assessment using either a traditional or a SNP-based approach. Change in PPV of mannographic biopsy by stratification into low and high risk groups.
No
Susan Domchek, MD
Principal Investigator
Abramson Cancer Center of the University of Pennsylvania
United States: Institutional Review Board
UPCC 17109
NCT01124019
February 2010
Name | Location |
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Abramson Cancer Center of the University of Pennsylvania | Philadelphia, Pennsylvania 19104-4283 |