Potential Drug Prediction of Glioblastoma Based on Drug Perturbation-Induced Gene Expression Signatures.

ABSTRACT:

Objectives

Glioblastoma (GBM) is a malignant brain tumor which is the most common and aggressive type of central nervous system cancer, with high morbidity and mortality. Despite lots of systematic studies on the molecular mechanism of glioblastoma, the pathogenesis is still unclear, and effective therapies are relatively rare with surgical resection as the frequently therapeutic intervention. Identification of fundamental molecules and gene networks associated with initiation is critical in glioblastoma drug discovery. In this study, an approach for the prediction of potential drug was developed based on perturbation-induced gene expression signatures.

Methods

We first collected RNA-seq data of 12 pairs of glioblastoma samples and adjacent normal samples from the Gene Expre

SUBMITTER: Zhu B 

PROVIDER: S-EPMC7857867 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature