Robust prediction of gene regulation in colorectal cancer tissues from DNA methylation profiles

Hagen Klett, Yesilda Balavarca, Reka Toth, Biljana Gigic, Nina Habermann, Dominique Scherer, Petra Schrotz-King, Alexis Ulrich, Peter Schirmacher, Esther Herpel, Hermann Brenner, Cornelia M. Ulrich, Karin B. Michels, Hauke Busch, Melanie Boerries*

*Corresponding author for this work

Research output: Contribution to journalArticleResearchpeer-review

19 Citations (Scopus)

Abstract

DNA methylation is recognized as one of several epigenetic regulators of gene expression and as potential driver of carcinogenesis through gene-silencing of tumor suppressors and activation of oncogenes. However, abnormal methylation, even of promoter regions, does not necessarily alter gene expression levels, especially if the gene is already silenced, leaving the exact mechanisms of methylation unanswered. Using a large cohort of matching DNA methylation and gene expression samples of colorectal cancer (CRC; n = 77) and normal adjacent mucosa tissues (n = 108), we investigated the regulatory role of methylation on gene expression. We show that on a subset of genes enriched in common cancer pathways, methylation is significantly associated with gene regulation through gene-specific mechanisms. We built two classification models to infer gene regulation in CRC from methylation differences of tumor and normal tissues, taking into account both gene-silencing and gene-activation effects through hyper- and hypo-methylation of CpGs. The classification models result in high prediction performances in both training and independent CRC testing cohorts (0.92<AUC<0.97) as well as in individual patient data (average AUC = 0.82), suggesting a robust interplay between methylation and gene regulation. Validation analysis in other cancerous tissues resulted in lower prediction performances (0.69<AUC<0.90); however, it identified genes that share robust dependencies across cancerous tissues. In conclusion, we present a robust classification approach that predicts the gene-specific regulation through DNA methylation in CRC tissues with possible transition to different cancer entities. Furthermore, we present HMGA1 as consistently associated with methylation across cancers, suggesting a potential candidate for DNA methylation targeting cancer therapy.

Original languageEnglish
Pages (from-to)386-397
Number of pages12
JournalEpigenetics
Volume13
Issue number4
DOIs
Publication statusPublished - 3 Apr 2018
Externally publishedYes

Keywords

  • colorectal cancer
  • DNA methylation
  • Epigenetic regulation
  • gene expression
  • HMGA1
  • prediction model

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