Breast cancer risk prediction: an update to the Rosner–Colditz breast cancer incidence model

  • Megan S. Rice
  • , Shelley S. Tworoger
  • , Susan E. Hankinson
  • , Rulla M. Tamimi
  • , A. Heather Eliassen
  • , Walter C. Willett
  • , Graham Colditz
  • , Bernard Rosner

Research output: Contribution to journalArticlepeer-review

17 Scopus citations

Abstract

Purpose: To update and expand the Rosner–Colditz breast cancer incidence model by evaluating the contributions of more recently identified risk factors as well as predicted percent mammographic density (MD) to breast cancer risk. Methods: Using data from the Nurses’ Health Study (NHS) and NHSII, we added adolescent somatotype (9 unit scale), vegetable intake (servings/day), breastfeeding (months), physical activity (MET-h/week), and predicted percent MD to the Rosner–Colditz model to determine whether these variables improved model discrimination. We evaluated all invasive as well as ER+/PR+, ER+/PR−, and ER−/PR− breast cancer. Results: In the NHS/NHSII, we accrued over 5200 cases of invasive breast cancer over more than 20 years of follow-up with complete data on the risk factors. Adolescent somatotype and predicted percent MD significantly improved the original Rosner–Colditz model for all invasive breast cancer (change in age-adjusted AUC = 0.020, p < 0.001). The relative risk (RR) of invasive breast cancer for a 4-unit increase in adolescent somatotype was 0.62 (95% CI 0.56, 0.70), whereas the RR for a 20-unit increase in predicted percent MD was 1.32 (95% CI 1.28, 1.36). Adolescent somatotype and predicted percent MD also significantly improved the ER+/PR+model (change in age-adjusted AUC = 0.020, p < 0.001) as well as the ER+/PR− model (change in age-adjusted AUC = 0.012, p = 0.007). Adolescent somatotype, predicted percent MD, breastfeeding, and vegetable intake improved the ER−/PR− model (change in AUC = 0.031, p < 0.0001). The RR of ER−/PR− disease for 5 vegetable servings/day increase was 0.83 (95% CI 0.70, 0.99), while the RR for every 12 months of breastfeeding was 0.88 (95% CI 0.77, 1.01). Physical activity did not improve risk classification in any model. Conclusion: Adolescent somatotype and predicted percent MD significantly improved breast cancer risk classification using the Rosner–Colditz model. Further, risk factors specific to ER− disease, such as breastfeeding and vegetable intake, may also help improve risk prediction of this aggressive subtype.

Original languageEnglish
Pages (from-to)227-240
Number of pages14
JournalBreast Cancer Research and Treatment
Volume166
Issue number1
DOIs
StatePublished - Nov 1 2017

Keywords

  • Breast cancer
  • Epidemiology
  • Risk prediction

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