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

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 asso...

Full description

Bibliographic Details
Main Authors: Tess V. Clendenen, Wenzhen Ge, Karen L. Koenig, Yelena Afanasyeva, Claudia Agnoli, Louise A. Brinton, Farbod Darvishian, Joanne F. Dorgan, A. Heather Eliassen, Roni T. Falk, Göran Hallmans, Susan E. Hankinson, Judith Hoffman-Bolton, Timothy J. Key, Vittorio Krogh, Hazel B. Nichols, Dale P. Sandler, Minouk J. Schoemaker, Patrick M. Sluss, Malin Sund, Anthony J. Swerdlow, Kala Visvanathan, Anne Zeleniuch-Jacquotte, Mengling Liu
Format: Article
Language:English
Published: BMC 2019-03-01
Series:Breast Cancer Research
Subjects:
Breast cancer risk prediction
Anti-Müllerian hormone
Testosterone
Gail model
Online Access:http://link.springer.com/article/10.1186/s13058-019-1126-z

Similar Items

Similar Items