AIM: We present here a novel method that enables unraveling the interplay between gene expression and DNA methylation in complex diseases such as cancer. MATERIALS & METHODS: The method is based on self-organizing maps and allows for analysis of data landscapes from 'governed by methylation' to 'governed by expression'. RESULTS: We identified regulatory modules of coexpressed and comethylated genes in high-grade gliomas: two modes are governed by genes hypermethylated and underexpressed in IDH-mutated cases, while two other modes reflect immune and stromal signatures in the classical and mesenchymal subtypes. A fifth mode with proneural characteristics comprises genes of repressed and poised chromatin states active in healthy brain. Two additional modes enrich genes either in active or repressed chromatin states. CONCLUSION: The method disentangles the interplay between gene expression and methylation. It has the potential to integrate also mutation and copy number data and to apply to large sample cohorts.
PubMed ID: 29888966
Projects: GGN - German Glioma Network
Publication type: Not specified
Human Diseases: Glioblastoma multiforme
Citation: Epigenomics. 2018 Jun;10(6):745-764. doi: 10.2217/epi-2017-0140. Epub 2018 Jun 11.
Date Published: 12th Jun 2018
Registered Mode: by PubMed ID
Created: 25th Oct 2019 at 13:07
Last updated: 7th Dec 2021 at 17:58