Aberrant methylation patterns in colorectal cancer: a meta-analysis

Oncotarget. 2017 Feb 21;8(8):12820-12830. doi: 10.18632/oncotarget.14590.

Abstract

Colorectal cancer is among the leading causes of cancer death worldwide. Despite numerous molecular characterizations of the phenomenon, the exact dynamics of its onset and progression remain elusive. Colorectal cancer onset has been characterized by changes in DNA methylation profiles, that, owing to the stability of their patterns, are promising candidates to shed light on the molecular events laying at the base of this phenomenon.To exploit this stability and reinforce it, we conducted a meta-analysis on publicly available DNA methylation datasets generated on: normal colorectal, adenoma (ADE) and adenocarcinoma (CRC) samples using the Illumina 450k array, in the systems medicine frame, searching for tumor gene episignatures, to produce a carefully selected list of potential drivers, markers and targets of the disease. The analysis proceeds from a differential meta-analysis of the methylation profiles using an analytical pipeline recently developed by our group [1], through network reconstruction, topological and functional analyses, to finally highlight relevant epigenomic features. Our results show that genes already highlighted for their genetic or transcriptional alteration in colorectal cancer are also differentially methylated, reinforcing -regardless of the level of cellular control- their role in the complex of alterations involved in tumorigenesis.These findings were finally validated in an independent cohort from The Cancer Genome Atlas (TCGA).

Keywords: DNA methylation; colorectal cancer; differential analysis; infinium human methylation 450; network analysis.

Publication types

  • Meta-Analysis

MeSH terms

  • Adenocarcinoma / genetics*
  • Cluster Analysis
  • Colorectal Neoplasms / genetics*
  • DNA Methylation / genetics*
  • Humans