Identification of a panel of genes as a prognostic biomarker for glioblastoma.

ABSTRACT:

Background

Glioblastoma multiforme (GBM) is a fatal disease without effective therapy. Identification of new biomarkers for prognosis would enable more rational selections of strategies to cure patients with GBM and prevent disease relapse.

Methods

Seven datasets derived from GBM patients using microarray or next generation sequencing in R2 online database (http://r2.amc.nl) were extracted and then analyzed using JMP software. The survival distribution was calculated according to the Kaplan-Meier method and the significance was determined using log-rank statistics. The sensitivity of a panel of GBM cell lines in response to temozolomide (TMZ), salinomycin, celastrol, and triptolide treatments was evaluated using MTS and tumor-sphere formation assay.

Findings

We identi

SUBMITTER: Wang F 

PROVIDER: S-EPMC6284420 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature