Predictive Analyses of Prognostic-Related Immune Genes and Immune Infiltrates for Glioblastoma.

ABSTRACT: Glioblastoma (GBM), the most common and aggressive brain tumor, has a very poor outcome and high tumor recurrence rate. The immune system has positive interactions with the central nervous system. Despite many studies investigating immune prognostic factors, there is no effective model to identify predictive biomarkers for GBM. Genomic data and clinical characteristic information of patients with GBM were evaluated by Kaplan-Meier analysis and proportional hazard modeling. Deseq2 software was used for differential expression analysis. Immune-related genes from ImmPort Shared Data and the Cistrome Project were evaluated. The model performance was determined based on the area under the receiver operating characteristic (ROC) curve. CIBERSORT was used to assess the infiltration of immune cell

SUBMITTER: Liang P 

PROVIDER: S-EPMC7151008 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature