Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

  • Review Article
  • Published:

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

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.

Key Points

  • Many breast cancer risk factors, including BMI after menopause and reproductive risk factors, show stronger associations with hormone-receptor-positive tumors than with hormone-receptor-negative tumors

  • Failure to account for differences in risk-factor associations by hormone-receptor status can lead to inaccurate estimates of the effect of a risk factor or intervention

  • The recognition of differences in risk-factor associations by hormone-receptor status can improve the accuracy of breast cancer risk-prediction models

  • The use of breast cancer risk-prediction models that account for hormone-receptor status can potentially improve the targeting of breast cancer prevention interventions

This is a preview of subscription content, access via your institution

Access options

Buy this article

Prices may be subject to local taxes which are calculated during checkout

Similar content being viewed by others

References

  1. Andry G et al. (1989) Relation between estrogen receptor concentration and clinical and histological factors: their relative prognostic importance after radical mastectomy for primary breast cancer. Eur J Cancer Clin Oncol 25: 319–329

    Article  CAS  Google Scholar 

  2. Hess KR et al. (2003) Estrogen receptors and distinct patterns of breast cancer relapse. Breast Cancer Res Treat 78: 105–118

    Article  CAS  Google Scholar 

  3. Yasui Y and Potter JD (1999) The shape of age-incidence curves of female breast cancer by hormone-receptor status. Cancer Causes Control 10: 431–437

    Article  CAS  Google Scholar 

  4. Anderson WF et al. (2001) Tumor variants by hormone receptor expression in white patients with node-negative breast cancer from the surveillance, epidemiology, and end results database. J Clin Oncol 19: 18–27

    Article  CAS  Google Scholar 

  5. Li CI et al. (2002) Differences in breast cancer hormone receptor status and histology by race and ethnicity among women 50 years of age and older. Cancer Epidemiol Biomarkers Prev 11: 601–607

    PubMed  Google Scholar 

  6. Chlebowski RT et al. (2005) Ethnicity and breast cancer: factors influencing differences in incidence and outcome. J Natl Cancer Inst 97: 439–448

    Article  Google Scholar 

  7. Fan C et al. (2006) Concordance among gene-expression-based predictors for breast cancer. N Engl J Med 355: 560–569

    Article  CAS  Google Scholar 

  8. Gruvberger S et al. (2001) Estrogen receptor status in breast cancer is associated with remarkably distinct gene expression patterns. Cancer Res 61: 5979–5984

    CAS  PubMed  Google Scholar 

  9. Sotiriou C et al. (2003) Breast cancer classification and prognosis based on gene expression profiles from a population-based study. Proc Natl Acad Sci USA 100: 10393–10398

    Article  CAS  Google Scholar 

  10. Perou CM et al. (2000) Molecular portraits of human breast tumours. Nature 406: 747–752

    Article  CAS  Google Scholar 

  11. Weigelt B et al. (2003) Gene expression profiles of primary breast tumors maintained in distant metastases. Proc Natl Acad Sci USA 100: 15901–15905

    Article  CAS  Google Scholar 

  12. Cooper JA et al. (1989) Risk factors for breast cancer by oestrogen receptor status: a population-based case–control study. Br J Cancer 59: 119–125

    Article  CAS  Google Scholar 

  13. Nasca PC et al. (1994) Alcohol consumption and breast cancer: estrogen receptor status and histology. Am J Epidemiol 140: 980–988

    Article  CAS  Google Scholar 

  14. Wohlfahrt J et al. (1999) Reproductive risk factors for breast cancer by receptor status, histology, laterality and location. Int J Cancer 81: 49–55

    Article  CAS  Google Scholar 

  15. Sellers TA et al. (2002) Interaction of dietary folate intake, alcohol, and risk of hormone receptor-defined breast cancer in a prospective study of postmenopausal women. Cancer Epidemiol Biomarkers Prev 11: 1104–1107

    CAS  PubMed  Google Scholar 

  16. Colditz GA et al. (2004) Risk factors for breast cancer according to estrogen and progesterone receptor status. J Natl Cancer Inst 96: 218–228

    Article  CAS  Google Scholar 

  17. Ursin G et al. (2005) Reproductive factors and subtypes of breast cancer defined by hormone receptor and histology. Br J Cancer 93: 364–371

    Article  CAS  Google Scholar 

  18. Suzuki R et al. (2005) Alcohol and postmenopausal breast cancer risk defined by estrogen and progesterone receptor status: a prospective cohort study. J Natl Cancer Inst 97: 1601–1608

    Article  CAS  Google Scholar 

  19. Garbers V et al. (2001) Changes in self-reported family history of breast cancer with change in case–control status. Eur J Epidemiol 17: 517–520

    Article  CAS  Google Scholar 

  20. Skegg DC (1988) Potential for bias in case–control studies of oral contraceptives and breast cancer. Am J Epidemiol 127: 205–212

    Article  CAS  Google Scholar 

  21. Giovannucci E et al. (1993) A comparison of prospective and retrospective assessments of diet in the study of breast cancer. Am J Epidemiol 137: 502–511

    Article  CAS  Google Scholar 

  22. Chen WY et al. (2002) Use of postmenopausal hormones, alcohol, and risk for invasive breast cancer. Ann Intern Med 137: 798–804

    Article  Google Scholar 

  23. Greendale GA et al. (1997) Can we measure prior postmenopausal estrogen/progestin use? The Postmenopausal Estrogen/Progestin Interventions Trial. The PEPI Investigators. Am J Epidemiol 146: 763–770

    Article  CAS  Google Scholar 

  24. Althuis MD et al. (2004) Etiology of hormone receptor-defined breast cancer: a systematic review of the literature. Cancer Epidemiol Biomarkers Prev 13: 1558–1568

    CAS  PubMed  Google Scholar 

  25. Ma H et al. (2006) Reproductive factors and breast cancer risk according to joint estrogen and progesterone receptor status: a meta-analysis of epidemiological studies. Breast Cancer Res 8: R43

    Article  Google Scholar 

  26. Potter JD et al. (1995) Progesterone and estrogen receptors and mammary neoplasia in the Iowa Women's Health Study: how many kinds of breast cancer are there? Cancer Epidemiol Biomarkers Prev 4: 319–326

    CAS  PubMed  Google Scholar 

  27. Huang WY et al. (2000) Hormone-related factors and risk of breast cancer in relation to estrogen receptor and progesterone receptor status. Am J Epidemiol 151: 703–714

    Article  CAS  Google Scholar 

  28. Yoo KY et al. (1997) Breast cancer risk factors according to combined estrogen and progesterone receptor status: a case–control analysis. Am J Epidemiol 146: 307–314

    Article  CAS  Google Scholar 

  29. Smith-Warner SA et al. (1998) Alcohol and breast cancer in women: a pooled analysis of cohort studies. JAMA 279: 535–540

    Article  CAS  Google Scholar 

  30. Hamajima N et al. (2002) Alcohol, tobacco and breast cancer—collaborative reanalysis of individual data from 53 epidemiological studies, including 58,515 women with breast cancer and 95,067 women without the disease. Br J Cancer 87: 1234–1245

    Article  CAS  Google Scholar 

  31. Sarkola T et al. (2001) The role of the liver in the acute effect of alcohol on androgens in women. J Clin Endocrinol Metab 86: 1981–1985

    Article  CAS  Google Scholar 

  32. Dorgan JF et al. (2001) Serum hormones and the alcohol-breast cancer association in postmenopausal women. J Natl Cancer Inst 93: 710–715

    Article  CAS  Google Scholar 

  33. Fan S et al. (2000) Alcohol stimulates estrogen receptor signaling in human breast cancer cell lines. Cancer Res 60: 5635–5639

    CAS  PubMed  Google Scholar 

  34. Singletary KW et al. (2001) Effect of ethanol on proliferation and estrogen receptor-alpha expression in human breast cancer cells. Cancer Lett 165: 131–137

    Article  CAS  Google Scholar 

  35. Reichman ME et al. (1993) Effects of alcohol consumption on plasma and urinary hormone concentrations in premenopausal women. J Natl Cancer Inst 85: 722–727

    Article  CAS  Google Scholar 

  36. Onland-Moret NC et al. (2005) Alcohol and endogenous sex steroid levels in postmenopausal women: a cross-sectional study. J Clin Endocrinol Metab 90: 1414–1419

    Article  CAS  Google Scholar 

  37. Enger SM et al. (1999) Alcohol consumption and breast cancer oestrogen and progesterone receptor status. Br J Cancer 79: 1308–1314

    Article  CAS  Google Scholar 

  38. Li CI et al. (2003) The relationship between alcohol use and risk of breast cancer by histology and hormone receptor status among women 65–79 years of age. Cancer Epidemiol Biomarkers Prev 12: 1061–1066

    CAS  PubMed  Google Scholar 

  39. Cotterchio M et al. (2003) Hormonal factors and the risk of breast cancer according to estrogen- and progesterone-receptor subgroup. Cancer Epidemiol Biomarkers Prev 12: 1053–1060

    CAS  PubMed  Google Scholar 

  40. Rusiecki JA et al. (2005) Breast cancer risk factors according to joint estrogen receptor and progesterone receptor status. Cancer Detect Prev 29: 419–426

    Article  CAS  Google Scholar 

  41. Lower EE et al. (1999) The effect of estrogen usage on the subsequent hormone receptor status of primary breast cancer. Breast Cancer Res Treat 58: 205–211

    Article  CAS  Google Scholar 

  42. Gajdos C et al. (2000) Breast cancer diagnosed during hormone replacement therapy. Obstet Gynecol 95: 513–518

    CAS  PubMed  Google Scholar 

  43. Chen CL et al. (2002) Hormone replacement therapy in relation to breast cancer. JAMA 287: 734–741

    Article  CAS  Google Scholar 

  44. Ursin G et al. (2002) Does menopausal hormone replacement therapy interact with known factors to increase risk of breast cancer? J Clin Oncol 20: 699–706

    Article  CAS  Google Scholar 

  45. Kerlikowske K et al. (2003) Prognostic characteristics of breast cancer among postmenopausal hormone users in a screened population. J Clin Oncol 21: 4314–4321

    Article  CAS  Google Scholar 

  46. Li CI et al. (2003) Relationship between long durations and different regimens of hormone therapy and risk of breast cancer. JAMA 289: 3254–3263

    Article  CAS  Google Scholar 

  47. Magnusson C et al. (1996) Prognostic characteristics in breast cancers after hormone replacement therapy. Breast Cancer Res Treat 38: 325–334

    Article  CAS  Google Scholar 

  48. Holli K et al. (1998) Low biologic aggressiveness in breast cancer in women using hormone replacement therapy. J Clin Oncol 16: 3115–3120

    Article  CAS  Google Scholar 

  49. Bilimoria MM et al. (1999) Estrogen replacement therapy and breast cancer: analysis of age of onset and tumor characteristics. Ann Surg Oncol 6: 200–207

    Article  CAS  Google Scholar 

  50. Fowble B et al. (1999) Postmenopausal hormone replacement therapy: effect on diagnosis and outcome in early-stage invasive breast cancer treated with conservative surgery and radiation. J Clin Oncol 17: 1680–1688

    Article  CAS  Google Scholar 

  51. Collaborative Group on Hormonal Factors in Breast Cancer (1997) Breast cancer and hormone replacement therapy: collaborative reanalysis of data from 51 epidemiological studies of 52,705 women with breast cancer and 108,411 women without breast cancer. Lancet 350: 1047–1059

  52. Colditz GA et al. (1995) The use of estrogens and progestins and the risk of breast cancer in postmenopausal women. N Engl J Med 332: 1589–1593

    Article  CAS  Google Scholar 

  53. Rossouw JE et al. (2002) Risks and benefits of estrogen plus progestin in healthy postmenopausal women: principal results from the Women's Health Initiative randomized controlled trial. JAMA 288: 321–333

    Article  CAS  Google Scholar 

  54. Colditz GA and Rosner B (2000) Cumulative risk of breast cancer to age 70 years according to risk factor status: data from the Nurses' Health Study. Am J Epidemiol 152: 950–964

    Article  CAS  Google Scholar 

  55. Ross RK et al. (2000) Effect of hormone replacement therapy on breast cancer risk: estrogen versus estrogen plus progestin. J Natl Cancer Inst 92: 328–332

    Article  CAS  Google Scholar 

  56. Schairer C et al. (2000) Menopausal estrogen and estrogen-progestin replacement therapy and breast cancer risk. JAMA 283: 485–491

    Article  CAS  Google Scholar 

  57. Early Breast Cancer Trialists' Collaborative Group (1998) Tamoxifen for early breast cancer: an overview of the randomised trials. Lancet 351: 1451–1467

  58. Chlebowski RT et al. (2003) Influence of estrogen plus progestin on breast cancer and mammography in healthy postmenopausal women: the Women's Health Initiative Randomized Trial. JAMA 289: 3243–3253

    Article  CAS  Google Scholar 

  59. Judd HL et al. (1982) Origin of serum estradiol in postmenopausal women. Obstet Gynecol 59: 680–686

    CAS  PubMed  Google Scholar 

  60. Eliassen AH et al. (2006) Adult weight change and risk of postmenopausal breast cancer. JAMA 296: 193–201

    Article  CAS  Google Scholar 

  61. Feigelson HS et al. (2004) Weight gain, body mass index, hormone replacement therapy, and postmenopausal breast cancer in a large prospective study. Cancer Epidemiol Biomarkers Prev 13: 220–224

    Article  Google Scholar 

  62. Key TJ et al. (2003) Body mass index, serum sex hormones, and breast cancer risk in postmenopausal women. J Natl Cancer Inst 95: 1218–1226

    Article  CAS  Google Scholar 

  63. Lahmann PH et al. (2004) Body size and breast cancer risk: findings from the European Prospective Investigation into Cancer And Nutrition (EPIC). Int J Cancer 111: 762–771

    Article  CAS  Google Scholar 

  64. Van Den Brandt PA et al. (2000) Pooled analysis of prospective cohort studies on height, weight, and breast cancer risk. Am J Epidemiol 152: 514–527

    Article  CAS  Google Scholar 

  65. Suzuki R et al. (2006) Body weight and postmenopausal breast cancer risk defined by estrogen and progesterone receptor status among Swedish women: a prospective cohort study. Int J Cancer 119: 1683–1689

    Article  CAS  Google Scholar 

  66. Feigelson HS et al. (2006) Adult weight gain and histopathologic characteristics of breast cancer among postmenopausal women. Cancer 107: 12–21

    Article  Google Scholar 

  67. Gail MH et al. (1989) Projecting individualized probabilities of developing breast cancer for white females who are being examined annually. J Natl Cancer Inst 81: 1879–1886

    Article  CAS  Google Scholar 

  68. Costantino JP et al. (1999) Validation studies for models projecting the risk of invasive and total breast cancer incidence. J Natl Cancer Inst 91: 1541–1548

    Article  CAS  Google Scholar 

  69. Chen J et al. (2006) Projecting absolute invasive breast cancer risk in white women with a model that includes mammographic density. J Natl Cancer Inst 98: 1215–1226

    Article  Google Scholar 

  70. Rosner B and Colditz G (1996) Nurses' Health Study: log-incidence model of breast cancer incidence. J Natl Cancer Inst 88: 359–364

    Article  CAS  Google Scholar 

  71. Pike MC et al. (1983) 'Hormonal' risk factors, 'breast tissue age' and the age-incidence of breast cancer. Nature 303: 767–770

    Article  CAS  Google Scholar 

  72. Colditz GA and Rosner BA (2006) What can be learnt from models of incidence rates? Breast Cancer Res 8: 208

    Article  Google Scholar 

  73. Rockhill B et al. (2003) Breast cancer risk prediction with a log-incidence model: evaluation of accuracy. J Clin Epidemiol 56: 856–861

    Article  Google Scholar 

  74. Barrett-Connor E et al. (2006) Effects of raloxifene on cardiovascular events and breast cancer in postmenopausal women. N Engl J Med 355: 125–137

    Article  CAS  Google Scholar 

  75. Vogel VG et al. (2006) Effects of tamoxifen vs raloxifene on the risk of developing invasive breast cancer and other disease outcomes: the NSABP Study of Tamoxifen and Raloxifene (STAR) P-2 trial. JAMA 295: 2727–2741

    Article  CAS  Google Scholar 

  76. Cauley JA et al. (2001) Continued breast cancer risk reduction in postmenopausal women treated with raloxifene: 4-year results from the MORE trial. Multiple outcomes of raloxifene evaluation. Breast Cancer Res Treat 65: 125–34

    Article  CAS  Google Scholar 

  77. Fisher B et al. (2005) Tamoxifen for the prevention of breast cancer: current status of the National Surgical Adjuvant Breast and Bowel Project P-1 study. J Natl Cancer Inst 97: 1652–1662

    Article  CAS  Google Scholar 

  78. Chen WY et al. (2006) Unopposed estrogen therapy and the risk of invasive breast cancer. Arch Intern Med 166: 1027–1032

    Article  CAS  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Wendy Y Chen.

Ethics declarations

Competing interests

The authors declare no competing financial interests.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Chen, W., Colditz, G. Risk factors and hormone-receptor status: epidemiology, risk-prediction models and treatment implications for breast cancer. Nat Rev Clin Oncol 4, 415–423 (2007). https://doi.org/10.1038/ncponc0851

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1038/ncponc0851

This article is cited by

Search

Quick links

Nature Briefing

Sign up for the Nature Briefing newsletter — what matters in science, free to your inbox daily.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing