Breast cancer risk prediction in women aged 35-50 years: impact of including sex hormone concentrations in the Gail model.

ABSTRACT:

Background

Models that accurately predict risk of breast cancer are needed to help younger women make decisions about when to begin screening. Premenopausal concentrations of circulating anti-Müllerian hormone (AMH), a biomarker of ovarian reserve, and testosterone have been positively associated with breast cancer risk in prospective studies. We assessed whether adding AMH and/or testosterone to the Gail model improves its prediction performance for women aged 35-50.

Methods

In a nested case-control study including ten prospective cohorts (1762 invasive cases/1890 matched controls) with pre-diagnostic serum/plasma samples, we estimated relative risks (RR) for the biomarkers and Gail risk factors using conditional logistic regression and random-effects meta-analysis. Absolut

SUBMITTER: Clendenen TV 

PROVIDER: S-EPMC6425605 | biostudies-literature | 2019 Mar

REPOSITORIES: biostudies-literature