Data-driven prioritization and preclinical evaluation of therapeutic targets in glioblastoma.

ABSTRACT:

Background

Patients with glioblastoma (GBM) have a dismal prognosis, and there is an unmet need for new therapeutic options. This study aims to identify new therapeutic targets in GBM.

Methods

mRNA expression data of patient-derived GBM (n = 1279) and normal brain tissue (n = 46) samples were collected from Gene Expression Omnibus and The Cancer Genome Atlas. Functional genomic mRNA profiling was applied to capture the downstream effects of genomic alterations on gene expression levels. Next, a class comparison between GBM and normal brain tissue was performed. Significantly upregulated genes in GBM were further prioritized based on (1) known interactions with antineoplastic drugs, (2) current drug development status in humans, and (3) association with biologic

SUBMITTER: Brahm CG 

PROVIDER: S-EPMC7764503 | biostudies-literature | 2020 Jan-Dec

REPOSITORIES: biostudies-literature