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Principal Investigator
Name
Lauren A. Wise
Degrees
Sc.D.
Institution
Boston University School of Public Health
Position Title
Associate Professor
Email
About this CDAS Project
Study
PLCO (Learn more about this study)
Project ID
PLCO-145
Initial CDAS Request Approval
Jul 6, 2015
Title
Meta-analysis of risk factors for endometrial cancer in black women
Summary
The proposed study is to conduct a meta-analysis of selected risk factors for endometrial cancer in black women participating in case-control and cohort studies (including PLCO) from the E2C2 consortium. We are particularly interested in the relation between hormone replacement therapy (HRT) and endometrial cancer. Relatively few studies have investigated the association in a detailed fashion—examining type of HRT use, recency of use, and duration of use—and we have the opportunity to make an important contribution to the literature by performing a meta-analysis of HRT data in black women. At the same time, the meta-analysis will include other factors for which there is a need for more data in black women, such as body mass index, age at menarche, parity, age at last birth, and oral contraceptive use. We would control for additional variables as potential confounders (e.g., age, year of interview, smoking).

All variables of interest are already part of the core data set, although not all studies may have provided complete data on HRT to the core data set. The meta-analysis has already been approved by the E2C2 Executive Committee.
Aims

Perform a meta-analysis of selected risk factors for endometrial cancer in black women participating in case-control and cohort studies from the E2C2 consortium. We are particularly interested in the relation between hormone replacement therapy (HRT) and endometrial cancer. At the same time, the meta-analysis will include other factors for which there is a need for more data in black women, such as body mass index, age at menarche, parity, age at last birth, and oral contraceptive use. We would control for additional variables as potential confounders (e.g., age, year of interview, smoking).

Collaborators

Sara Olson, MSKCC