Risk factors and hormone-receptor status: epidemiology, risk-prediction models and treatment implications for breast cancer

Nat Clin Pract Oncol. 2007 Jul;4(7):415-23. doi: 10.1038/ncponc0851.

Abstract

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.

Publication types

  • Review

MeSH terms

  • Breast Neoplasms / diagnosis*
  • Breast Neoplasms / epidemiology
  • Breast Neoplasms / therapy*
  • Female
  • Humans
  • Life Style
  • Lymphatic Metastasis
  • Mathematical Computing
  • Models, Statistical
  • Neoplasms, Hormone-Dependent / diagnosis
  • Neoplasms, Hormone-Dependent / therapy
  • Receptors, Estrogen / metabolism*
  • Receptors, Progesterone / metabolism*
  • Risk Assessment / methods
  • Risk Factors
  • Women's Health*

Substances

  • Receptors, Estrogen
  • Receptors, Progesterone