ZIA CP010188 00318 (ZIA) | |||
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Title | Breast cancer risk prediction: Development of a new model including mammographic | ||
Institution | NCI, Bethesda, MD | ||
Principal Investigator | Gail, Mitchell | NCI Program Director | N/A |
Cancer Activity | N/A | Division | DCEG |
Funded Amount | $48,047 | Project Dates | null - null |
Fiscal Year | 2018 | Project Type | Intramural |
Research Topics w/ Percent Relevance | Cancer Types w/ Percent Relevance | ||
Biochemical Epidemiology (45.0%) Cancer (100.0%) |
Breast (100.0%) | ||
Research Type | |||
Endogenous Factors in the Origin and Cause of Cancer Technology and/or Marker Evaluation With Respect to Fundamental Parameters of Method |
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Abstract | |||
Using data from the Breast Cancer Detection Demonstration Projects (BCDDP), we developed a multivariate relative risk model for breast cancer that includes the risk factors age at first live birth, number of previous biopsies, number of affected first-degree relatives, weight and mammographic density. This model has modestly increased discriminatory accuracy compared to a model that does not include mammographic density. By combining the relative risk model with national survey data on the distribution of risk factors and with national data on breast cancer incidence, we were able to develop a model to predict the absolute risk of breast cancer over various age intervals. This work has been published, and we are looking for opportunities to validate the model with independent data. We have also improved NCI's Breast Cancer Risk Assessment Tool for African-American women and for Asian-American women. Ongoing work concerns development of a model for Hispanic women. Recently, we developed a new model for breast, ovarian and endometrial cancer that also includes modifiable risk factors, such as ethanol consumption. |