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Updated: Sep 14, 2025

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Associations between circulating metabolites and pca: a bidirectional two-sample Mendelian randomization study.

Jing Lv1, Yonghong Deng2

  • 1Hunan Traditional Chinese Medical College, Zhuzhou, China.

Discover Oncology
|July 18, 2025
PubMed
Summary

This study used Mendelian randomization to investigate the causal links between circulating metabolites and prostate cancer (PCa) risk. It identified specific metabolites, like 4-ethylphenylsulfate, causally associated with PCa, offering insights into disease mechanisms and potential biomarkers.

Keywords:
Mendelian randomizationMetabolitesProstate cancer

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Area of Science:

  • Genetics
  • Metabolomics
  • Epidemiology

Background:

  • Prostate cancer (PCa) is a globally prevalent male cancer.
  • Genetic factors are crucial, but circulating metabolites also significantly influence PCa risk.
  • The causal relationship between metabolites and PCa requires further clarification.

Purpose of the Study:

  • To investigate the causal relationships between circulating metabolites and prostate cancer (PCa) risk.
  • To identify specific metabolites that causally influence PCa development.
  • To provide genetic evidence for understanding PCa etiology and developing therapeutic targets.

Main Methods:

  • Employed a bidirectional two-sample Mendelian randomization (MR) approach.
  • Utilized metabolite datasets from CLSA, KORA, and TwinsUK studies, and PCa data from Oncoarray.
  • Performed replication analysis using UK Biobank and sensitivity analyses for robustness.

Main Results:

  • Identified causal links between circulating metabolites and PCa risk.
  • Found 4-ethylphenylsulfate causally associated with PCa (OR 0.66, 95% CI 0.47-0.92, p=0.015), remaining significant after Bonferroni adjustment.
  • Reverse MR showed causal relationships of PCa to homovanillate and X-12,627 levels.

Conclusions:

  • Findings underscore PCa etiology and risk factors.
  • Provides genetic evidence for potential therapeutic targets and diagnostic biomarkers.
  • Contributes to elucidating PCa disease mechanisms.