Clendenen TV, et al. - In this study, researchers investigated the impact of adding circulating anti-Müllerian hormone (AMH) and/or testosterone to the Gail model on its predictive performance for women aged 35-50 with respect to breast cancer risk detection. Participants included 1,762 invasive patients and 1,890 matched controls from 10 prospective cohorts with pre-diagnostic serum/plasma samples. The investigators used conditional logistic regression and random-effects meta-analysis to determine the relative risks (RR) for the biomarkers and Gail risk factors. For invasive breast cancer including only the Gail risk factor variables, the area under the receiver operating characteristic curve (AUC) was 55.3. They found that the discriminatory accuracy of the Gail model among women aged 35–50 increased moderately due to AMH and testosterone. Women without a family history of breast cancer had the largest AUC increase.