Skip to Main Content

An official website of the United States government

Using Self-reported Baseline Questionnaire Data from the PLCO Trial to Create a Three-Outcome Absolute Risk Model for Breast, Ovarian and Endometrial Cancer

Principal Investigator
Name
Aimee Kreimer
Institution
NCI, DCP, EDRG
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
2006-0011
Initial CDAS Request Approval
Jul 1, 2006
Title
Using Self-reported Baseline Questionnaire Data from the PLCO Trial to Create a Three-Outcome Absolute Risk Model for Breast, Ovarian and Endometrial Cancer
Summary
Risk models that estimate a woman's probability of developing cancer have improved recruitment methods for clinical trials and educated the public about cancer risks. To assist in medical decision making, we aim to create an absolute risk model that will estimate a woman's lifetime risk of developing ovarian, breast, or endometrial cancer given age and certain risk factors shared between these cancers. A relative risk model using these risk factors will be developed using data from PLCO. Then, individualized risk estimated will be created using population-based data from SEER registries. We expect this absolute risk model will be used extensively in clinical practice and by individual users.
Aims

1. Develop individual relative risk models for ovarian, breast, and endometrial cancer using the self-reported data from the baseline questionnaire of PLCO. Exposures of interest include demographics, reproductive variables, family history of cancer, and other health factors. 2. Develop a combined relative risk model that estimates the probability of developing the first of the three cancers (ovarian, breast, or endometrial) using the same exposure data. 3. Apply absolute risk estimates to SEER data in order to create a 3-outcome absolute risk model that will predict an individual woman's chance of developing the first of the three cancer outcomes.

Collaborators

Patricia Hartge (Division of Cancer Epidemiology and Genetics)
Robert Greenlee (Marshfield Clinic Research Foundation)
Ruth Pfeiffer (Division of Cancer Epidemiology and Genetics)