Multi-omic integration of DNA methylation and gene expression data reveals molecular vulnerabilities in glioblastoma.

ABSTRACT: Glioblastoma (GBM) is one of the most aggressive types of cancer and exhibits profound genetic and epigenetic heterogeneity, making the development of an effective treatment a major challenge. The recent incorporation of molecular features into the diagnosis of patients with GBM has led to an improved categorization into various tumour subtypes with different prognoses and disease management. In this work, we have exploited the benefits of genome-wide multi-omic approaches to identify potential molecular vulnerabilities existing in patients with GBM. Integration of gene expression and DNA methylation data from both bulk GBM and patient-derived GBM stem cell lines has revealed the presence of major sources of GBM variability, pinpointing subtype-specific tumour vulnerabilities amenable to p

SUBMITTER: Santamarina-Ojeda P 

PROVIDER: S-EPMC10483606 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature