A five-CpG signature of microRNA methylation in non-G-CIMP glioblastoma

CNS Neurosci Ther. 2019 Sep;25(9):937-950. doi: 10.1111/cns.13133. Epub 2019 Apr 23.

Abstract

Aims: DNA methylation has been found to regulate microRNAs (miRNAs) expression, but the prognostic value of miRNA-related DNA methylation aberration remained largely elusive in cancers including glioblastomas (GBMs). This study aimed to investigate the clinical and biological feature of miRNA methylation in GBMs of non-glioma-CpG island methylator phenotype (non-G-CIMP).

Methods: Prognostic miRNA methylation loci were analyzed, with TCGA and Rennes cohort as training sets, and independent datasets of GBMs and low-grade gliomas (LGGs) were obtained as validation sets. Different statistical and bioinformatic analysis and experimental validations were performed to clinically and biologically characterize the signature.

Results: We identified and validated a risk score based on methylation status of five miRNA-associated CpGs which could predict survival of GBM patients in a series of training and validation sets. This signature was independent of age and O-6-methylguanine-DNA methyltransferase (MGMT) promoter methylation status. The risk subgroup was associated with angiogenesis and accordingly differential responses to bevacizumab-contained therapy. MiRNA target analysis and in vitro experiments further confirmed the accuracy of this signature.

Conclusion: The five-CpG signature of miRNA methylation was biologically relevant and was of potential prognostic and predictive value for GBMs. It might be of help for improving individualized treatment.

Keywords: DNA methylation signature; angiogenesis; glioblastoma; miRNA; prognostication.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Aged
  • Aged, 80 and over
  • Cohort Studies
  • CpG Islands / genetics*
  • DNA Methylation / genetics*
  • Databases, Genetic*
  • Female
  • Genome-Wide Association Study / methods*
  • Glioblastoma / diagnosis
  • Glioblastoma / genetics*
  • Humans
  • Male
  • MicroRNAs / genetics*
  • Middle Aged
  • Phenotype
  • Retrospective Studies
  • Young Adult

Substances

  • MicroRNAs