Validation of breast cancer risk models in PLCO
Principal Investigator
Name
Montserrat Garcia-Closas
Degrees
MD, MPH, DrPH
Institution
NCI/DCEG
Position Title
Special Advisor
About this CDAS Project
Study
PLCO
(Learn more about this study)
Project ID
PLCO-116
Initial CDAS Request Approval
Nov 14, 2014
Title
Validation of breast cancer risk models in PLCO
Summary
Increasing knowledge of breast cancer (BC) risk factors can be translated into improvements in prevention and early detection of BC by achieving better risk stratification in the population and tailoring interventions according to risk. Paramount to this is the validation of risk stratification models in prospective cohort studies. We are conducting a nested case-control study of breast cancer within PLCO (EEMS 2006-00301) that will be used to validate models including questionnaire-based data and data on genetic susceptibility loci that is only available in the nested study. We are now requesting access to the full cohort data to evaluate the questionnaire-based component of these models and compare model performance parameters with those obtained using the nested case-control design. The proposed research will result in validated models for prediction of BC that can be used in risk-stratified strategies for prevention and early detection.
Aims
Aim 1) Evaluate and compare the performance of risk prediction models including questionnaire based risk factors using established models (e.g. BCRAT, IBIS, BOADICEA) and newly developed models by N Chatterjee and M Garcia-Closas (unpublished).
Aim 2) To estimate model performance parameters in a sub-cohort of women that provided a source of DNA, using full cohort and nested case-control designs.
Collaborators
Nilanjan Chatterjee, NCI/DCEG
Rose Yang, NCI/DCEG