Causal effects of genetically predicted endometriosis on breast cancer: a two-sample Mendelian randomization study

Sci Rep. 2023 Oct 12;13(1):17307. doi: 10.1038/s41598-023-43999-7.

Abstract

This study used a Mendelian randomization (MR) approach to investigate the causal relationship between genetically predicted endometriosis (EMS) and breast cancer risk. A total of 122,977 cases and 105,974 controls were included in the analysis, with gene-level summary data obtained from the Breast Cancer Association Consortium (BCAC). An inverse variance-weighting approach was applied to assess the causal relationship between EMS and breast cancer risk, and weighted median and MR-Egger regression methods were used to evaluate pleiotropy. Results showed a causal relationship between EMS and a decreased risk of overall breast cancer (odds ratio [OR] 0.95; 95% CI 0.90-0.99, p = 0.02). Furthermore, EMS was associated with a lower risk for estrogen receptor (ER)-positive breast cancer in a subgroup analysis based on immunohistochemistry type (OR 0.91; 95% CI 0.86-0.97, p = 0.005). However, there was no causal association between ER-negative breast cancer and survival (OR 1.00; 95% CI 0.94-1.06, p = 0.89). Pleiotropy was not observed. These findings provide evidence of a relationship between EMS and reduced breast cancer risk in invasive breast cancer overall and specific tissue types, and support the results of a previous observational study. Further research is needed to elucidate the mechanisms underlying this association.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Causality
  • Endometriosis* / genetics
  • Female
  • Genome-Wide Association Study
  • Histocompatibility Testing
  • Humans
  • Mendelian Randomization Analysis
  • Neoplasms*
  • Odds Ratio