Body mass index and risk of breast cancer molecular subtypes in Korean women: a case-control study

Breast Cancer Res Treat. 2020 Jan;179(2):459-470. doi: 10.1007/s10549-019-05451-1. Epub 2019 Oct 18.

Abstract

Background: Our main objective of this research was to analyze the effect of BMI on breast cancer risk according to various subtypes of breast cancer stratified with menopausal status.

Methods: By using a case-control study setting, we recruited a total of 16,190 female breast cancer patients aged between 35 and 80 years from 2003 to 2010. These breast cancer patients were then individually matched by age to control female group (1:2 ratios of cases and controls). Odds ratios (ORs) and 95% confidence intervals (CIs) were calculated via multivariable logistic regression by setting normal BMI range (18.5-22.9) as the reference group.

Results: In premenopausal women, the risk of breast cancer of triple-negative subtype increased (OR 1.60, 95% CI 1.27-2.02) in obese II (BMI ≥ 30) women and in underweight women, it was Luminal A (OR 1.24, 95% CI 1.06-1.45) and HER2 express subtype (OR 1.43, 95% CI 1.26-1.62) that showed increased risk of breast cancer. In postmenopausal women, Luminal A (OR 2.35, 95% CI 2.01-2.75), Luminal B HER2 negative (OR 1.81, 95% CI 1.46-2.25) and triple-negative subtype (OR 2.25, 95% CI 1.85-2.72) showed higher risk of breast cancer in obese II women.

Conclusion: Our findings suggest that the effect of BMI on breast cancer differs according to various subtypes and hormone receptors and to menopausal status.

Keywords: Body mass index; Breast cancer; Molecular subtype; Obesity.

MeSH terms

  • Biomarkers, Tumor
  • Body Mass Index*
  • Breast Neoplasms / diagnosis
  • Breast Neoplasms / epidemiology*
  • Breast Neoplasms / etiology
  • Case-Control Studies
  • Disease Susceptibility
  • Female
  • Humans
  • In Situ Hybridization, Fluorescence
  • Obesity / complications
  • Odds Ratio
  • Postmenopause
  • Premenopause
  • Public Health Surveillance
  • Republic of Korea
  • Risk Assessment
  • Risk Factors

Substances

  • Biomarkers, Tumor