Ontology highlight
ABSTRACT:
SUBMITTER: Clendenen TV
PROVIDER: S-EPMC6425605 | biostudies-literature | 2019 Mar
REPOSITORIES: biostudies-literature
Clendenen Tess V TV Ge Wenzhen W Koenig Karen L KL Afanasyeva Yelena Y Agnoli Claudia C Brinton Louise A LA Darvishian Farbod F Dorgan Joanne F JF Eliassen A Heather AH Falk Roni T RT Hallmans Göran G Hankinson Susan E SE Hoffman-Bolton Judith J Key Timothy J TJ Krogh Vittorio V Nichols Hazel B HB Sandler Dale P DP Schoemaker Minouk J MJ Sluss Patrick M PM Sund Malin M Swerdlow Anthony J AJ Visvanathan Kala K Zeleniuch-Jacquotte Anne A Liu Mengling M
Breast cancer research : BCR 20190319 1
<h4>Background</h4>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.<h4>Methods</h4>In a ...[more]