Risk factors and hormone-receptor status: epidemiology, risk-prediction models and treatment implications for breast cancer.
It is increasingly being recognized that breast cancer does not represent a single homogeneous disease; instead, the hormone-receptor status defines important clinical and etiologic differences. We review the epidemiologic data on differences in risk-factor associations by hormone-receptor status and highlight major trends in the literature. We discuss the development and evaluation of breast cancer risk models, with a focus on the Rosner and Colditz model, which can separately estimate the risk of hormone-receptor-positive and hormone-receptor-negative breast cancers. We also discuss the clinical implications of accounting for hormone-receptor status in breast cancer risk-prediction models.
Chen
Wendy Y
WY
Channing Laboratory, Brigham and Women's Hospital, Boston, MA 02115, USA. wendy.chen@channing.harvard.edu
Colditz
Graham A
GA
D001943:Breast Neoplasms / Q000175:diagnosis* / Q000453:epidemiology / Q000628:therapy*; D005260:Female; D006801:Humans; D008019:Life Style; D008207:Lymphatic Metastasis; D008432:Mathematical Computing; D015233:Models, Statistical; D009376:Neoplasms, Hormone-Dependent / Q000175:diagnosis / Q000628:therapy; D011960:Receptors, Estrogen / Q000378:metabolism*; D011980:Receptors, Progesterone / Q000378:metabolism*; D018570:Risk Assessment / Q000379:methods; D012307:Risk Factors; D016387:Women's Health
D011960:Receptors, Estrogen; D011980:Receptors, Progesterone