A Risk Classification System With Five-Gene for Survival Prediction of Glioblastoma Patients
Abstract
Objective: Glioblastoma multiforme (GBM) is the most common and fatal primary brain tumor in adults. It is necessary to identify novel and effective biomarkers or risk signatures for GBM patients. Methods: Differentially expressed genes (DEGs) between GBM and low grade glioma (LGG) in TCGA samples were screened out and weight correlation network analysis (WGCNA) was performed to confirm WHO grade-related genes. Five genes were selected via...
Paper Details
Title
A Risk Classification System With Five-Gene for Survival Prediction of Glioblastoma Patients
Published Date
Jul 16, 2019
Journal
Volume
10
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