Identification of key genes by integrating DNA methylation and next-generation transcriptome sequencing for esophageal squamous cell carcinoma

Aging (Albany NY). 2020 Jan 21;12(2):1332-1365. doi: 10.18632/aging.102686. Epub 2020 Jan 21.

Abstract

Aberrant DNA methylation leads to abnormal gene expression, making it a significant regulator in the progression of cancer and leading to the requirement for integration of gene expression with DNA methylation. Here, we identified 120 genes demonstrating an inverse correlation between DNA methylation and mRNA expression in esophageal squamous cell carcinoma (ESCC). Sixteen key genes, such as SIX4, CRABP2, and EHD3, were obtained by filtering 10 datasets and verified in paired ESCC samples by qRT-PCR. 5-Aza-dC as a DNA methyltransferase (DNMT) inhibitor could recover their expression and inhibit clonal growth of cancer cells in seven ESCC cell lines. Furthermore, 11 of the 16 genes were correlated with OS (overall survival) and DFS (disease-free survival) in 125 ESCC patients. ChIP-Seq data and WGBS data showed that DNA methylation and H3K27ac histone modification of these key genes displayed inverse trends, suggesting that there was collaboration between DNA methylation and histone modification in ESCC. Our findings illustrate that the integrated multi-omics data (transcriptome and epigenomics) can accurately obtain potential prognostic biomarkers, which may provide important insight for the effective treatment of cancers.

Keywords: DNA methylation; esophageal squamous cell carcinoma; histone modification; next-generation sequencing; survival analysis.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Biomarkers, Tumor
  • Computational Biology / methods
  • DNA Methylation*
  • Esophageal Neoplasms / genetics*
  • Esophageal Neoplasms / metabolism
  • Esophageal Neoplasms / mortality
  • Esophageal Squamous Cell Carcinoma / genetics*
  • Esophageal Squamous Cell Carcinoma / metabolism
  • Esophageal Squamous Cell Carcinoma / mortality
  • Female
  • Gene Expression Profiling*
  • Gene Expression Regulation, Neoplastic*
  • High-Throughput Nucleotide Sequencing
  • Histones / metabolism
  • Humans
  • Kaplan-Meier Estimate
  • Male
  • Prognosis
  • Sequence Analysis, DNA
  • Transcriptome*

Substances

  • Biomarkers, Tumor
  • Histones