Inflammatory bowel disease and prostate cancer risk: a two-sample Mendelian randomization analysis

Front Immunol. 2023 Jun 20:14:1157313. doi: 10.3389/fimmu.2023.1157313. eCollection 2023.

Abstract

Background: Previous epidemiological observational studies have reported an association between inflammatory bowel disease (IBD) and prostate cancer (PCa), but the causality is inconclusive. The purpose of this study was to evaluate the causality of IBD on PCa using the mendelian randomization (MR) analysis.

Methods: We performed a two-sample MR analysis with public genome-wide association studies (GWAS) data. Eligible instrumental variables (IVs) were selected according to the three assumptions of MR analysis. The inverse-variance weighted (IVW) method was the main method. Complementary methods included the MR-Egger regression, the Weighted Median, the Simple Mode, the Weighted Mode and MR pleiotropy residual sum and outlier (MR-PRESSO) methods.

Results: Genetically determined IBD did not have a causal effect on PCa (IVW P > 0.05). Additionally, there was no causal effect of Crohn's disease (CD) and ulcerative colitis (UC) on PCa in the MR analysis (IVW P > 0.05). Results of complementary methods were consistent with those of the IVW method.

Conclusions: This study does not support a causal association of IBD on PCa, which is in contrast to most observational studies.

Keywords: Crohn ‘s disease; Mendelian randomization; causality; inflammatory bowel disease; prostate cancer; ulcerative colitis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Colitis, Ulcerative*
  • Genome-Wide Association Study
  • Humans
  • Inflammatory Bowel Diseases* / epidemiology
  • Inflammatory Bowel Diseases* / genetics
  • Male
  • Mendelian Randomization Analysis
  • Prostatic Neoplasms* / epidemiology
  • Prostatic Neoplasms* / genetics

Grants and funding

The funding for this study was provided by the Project of National Administration of Traditional Chinese Medicine (2019XZZX-ZL007), Tianjin Graduate Research Innovation Project (2022SKYZ344) and TUTCM Graduate Research Innovation Project (YJSKC-20222008).