Genome-wide analysis reveals the association between alternative splicing and DNA methylation across human solid

Xiaohui Sun1, Yiping Tian2, Jianming Wang3

  • 1Department of Epidemiology & Biostatistics, School of Public Health, Zhejiang University, Hangzhou, 310058, Zhejiang, China.

BMC Medical Genomics
|January 8, 2020
PubMed
Abstract

Insights

DNA methylation influences cancer-specific alternative splicing (AS) events. This study identified correlations between DNA methylation patterns and AS, revealing potential biomarkers for predicting patient survival in solid tumors.

Area of Science:

  • Cancer Biology
  • Epigenetics
  • Molecular Oncology

Background:

  • Alternative splicing (AS) dysregulation is a hallmark of cancer.
  • Mechanisms of cancer-specific AS, particularly DNA methylation's role, remain unclear.

Purpose of the Study:

  • To investigate the association between cancer-specific AS events and DNA methylation.
  • To identify potential molecular biomarkers for cancer prognosis.

Main Methods:

  • Utilized The Cancer Genome Atlas (TCGA) SpliceSeq and TCGA data for ten solid tumor types.
  • Performed association analysis, functional enrichment, pathway analysis, and constructed a protein-protein interaction network.
  • Conducted prognostic analysis using multivariate Cox regression models.

Main Results:

  • Identified 15,818 AS events in 3955 genes across ten solid tumors.
  • Observed distinct DNA methylation patterns, with 51.3% of CpG sites hypomethylated in tumors.
  • Found 607 CpGs correlated with 369 cancer-specific AS events, with 52.7% being hypomethylated.
  • Discovered 38 AS events in 35 genes as potential prognostic biomarkers.

Conclusions:

  • Established a link between DNA methylation and AS events in human solid tumors.
  • Provided novel insights into intragenic DNA methylation and exon usage in AS.
  • Highlighted potential for AS events as novel biomarkers for cancer patient survival.

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