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December 9, 2025Epigenetics0 citationsOpen Access

Exploring the association between DNA methylation and pancreatic cancer susceptibility through epigenome-wide Mendelian randomization and multi-omics data integration

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PWPengxu WangRFRong FengFLFubao Liu

Key Points

  • This research aims to clarify the role of DNA methylation in pancreatic cancer susceptibility and its potential therapeutic targets.
  • Conducted epigenome-wide Mendelian randomization analysis.
  • Performed sensitivity analyses and validated instrumental variables.
  • Executed a meta-analysis for external validation.
  • Used drug target analysis to explore enrichment and biological functions.
  • Applied mediation analysis to uncover tumorigenesis pathways.
  • Identified 253 CpG sites significantly associated with pancreatic cancer through sensitivity analysis.
  • Validated 159 CpG sites in at least one replication.
  • Retained 38 CpG sites after meta-analysis, categorizing all into three tiers.
  • Found strong support for specific sites like cg26373071 and cg11652496 linked to genetic susceptibility.

Abstract

Investigating the role of DNA methylation in the development of pancreatic cancer (PC) may facilitate identification of potential targets for both diagnosis and treatment. We carried out a comprehensive epigenome-wide Mendelian randomization (EWMR) analysis to investigate the correlation of genetically predicted blood CpG sites with PC. Following this, we conducted various sensitivity analyses and repeated analyses using different selection criteria for instrumental variables and conditional Bayesian colocalization to guarantee the reliability of the results. External validation and a meta-analysis were then performed to further validate these results. Next, we conducted CpG site enrichment analysis, overlap with phenome-wide association studies (PheWAS) catalog analysis, overlap with epigenome-wide association studies (EWAS) Toolkit analysis, and drug target analysis to explore the enrichment, biological functions, and potential therapeutic targets associated with these sites. Finally, we used the SMR-IVW software to perform mediation analysis, aiming to uncover potential tumorigenesis pathways of PC at the transcriptional level from three distinct perspectives. Results showed 253 CpG sites passing sensitivity analysis were significantly associated with PC and 159 CpG sites were validated in at least one replication. After meta-analysis, 38 CpG sites were retained, and all 253 CpG sites were classified into three tiers. Among these, cg26373071 (CLPTM1L), cg14271713, cg11652496 (PSTPIP1), and cg20575191 (PSTPIP1) were placed in tier 1 with strong support. Finally, this study identified genetic susceptibility linked to 253 PC-related CpG sites. This study provides insights into the disease's origins and underscores potential targets for future research.

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Cite This Study

Wang et al. (2025) studied this question.

synapsesocial.com/papers/69401d682d562116f28f91f4https://doi.org/10.1080/15592294.2025.2599682
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