Pathway-based approach reveals differential sensitivity to E2F1 inhibition in glioblastoma.

ABSTRACT: Analysis of tumor gene expression is an important approach for the classification and identification of therapeutic vulnerabilities. However, targeting glioblastoma (GBM) based on molecular subtyping has not yet translated into successful therapies. Here, we present an integrative approach based on molecular pathways to expose new potentially actionable targets. We used gene set enrichment analysis (GSEA) to conduct an unsupervised clustering analysis to condense the gene expression data from bulk patient samples and patient-derived gliomasphere lines into new gene signatures. We identified key targets that are predicted to be differentially activated between tumors and were functionally validated in a library of gliomasphere cultures. Resultant cluster-specific gene signatures associated

SUBMITTER: Alvarado AG 

PROVIDER: S-EPMC9536135 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature