Association of Interactions Between Mammographic Density Phenotypes and Established Risk Factors With Breast Cancer Risk, by Tumor Subtype and Menopausal Status

Am J Epidemiol. 2021 Jan 4;190(1):44-58. doi: 10.1093/aje/kwaa131.

Abstract

Previous studies suggest that the association between mammographic density (MD) and breast cancer risk might be modified by other breast cancer risk factors. In this study, we assessed multiplicative interactions between MD measures and established risk factors on the risk of invasive breast cancer overall and according to menopausal and estrogen receptor status. We used data on 2,137 cases and 4,346 controls from a nested case-control study within the Nurses' Health Study (1976-2004) and Nurses' Health Study II (1989-2007), whose data on percent mammographic density (PMD) and absolute area of dense tissue and nondense tissue (NDA) were available. No interaction remained statistically significant after adjusting for number of comparisons. For breast cancer overall, we observed nominally significant interactions (P < 0.05) between nulliparity and PMD/NDA, age at menarche and area of dense tissue, and body mass index and NDA. Individual nominally significant interactions across MD measures and risk factors were also observed in analyses stratified by either menopausal or estrogen receptor status. Our findings help provide further insights into potential mechanisms underlying the association between MD and breast cancer.

Keywords: breast cancer; mammographic density; multiplicative interaction.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Body Mass Index
  • Breast Density*
  • Breast Neoplasms / diagnostic imaging*
  • Breast Neoplasms / epidemiology
  • Breast Neoplasms / pathology*
  • Case-Control Studies
  • Female
  • Humans
  • Mammography
  • Menarche
  • Menopause
  • Middle Aged
  • Nurses
  • Parity
  • Phenotype
  • Prospective Studies
  • Risk Factors
  • United States / epidemiology