A novel gene signature based on five glioblastoma stem-like cell relevant genes predicts the survival of primary glioblastoma.

ABSTRACT:

Purpose

Primary glioblastoma (pGBM) is the most common and lethal type of neoplasms in the central nervous system, while the existing biomarkers, lacking consideration on the stemness changes of GBM cells, are not specific enough to predict the complex prognosis respectively. We aimed to build a high-efficiency prediction gene signature related to GBM cell stemness and investigate its prognostic value in primary glioblastoma.

Methods

Differentially expressed genes were screened in GSE23806 database. The selected genes were then verified by univariate Cox regression in 591 patients from four enormous independent databases, including the Chinese Glioma Genome Atlas (CGGA), TCGA, REMBRANDT and GSE16011. Finally, the intersected genes were included to build the gene signature. G

SUBMITTER: Chai R 

PROVIDER: S-EPMC11813501 | biostudies-literature | 2018 Mar

REPOSITORIES: biostudies-literature