A novel immune-related gene prognostic signature combining immune cell infiltration and immune checkpoint for glioblastoma patients.

ABSTRACT:

Background

Glioblastoma (GBM) is a highly lethal brain tumor with a complex tumor microenvironment (TME) and poor prognosis. This study aimed to develop and validate a novel immune-related prognostic model for GBM patients to enhance personalized prognosis prediction and develop effective therapeutic strategies.

Methods

RNA sequencing and clinical data for GBM patients were obtained from The Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) (GSE83300). Single-sample gene set enrichment analysis (ssGSEA) was performed using the gene set variation analysis (GSVA) package in R to classify the samples into high and low immune infiltration clusters based on 29 immune cell subtypes. Clustering validations included differential analysis of immune scores and compariso

SUBMITTER: Liu X 

PROVIDER: S-EPMC11651773 | biostudies-literature | 2024 Nov

REPOSITORIES: biostudies-literature