Unknown

Dataset Information

Identification of T-cell exhaustion-related gene signature for predicting prognosis in glioblastoma multiforme.


ABSTRACT: Glioblastoma multiforme (GBM) is a highly malignant primary brain tumour with a poor prognosis in adults. Identifying biomarkers that can aid in the molecular classification and risk stratification of GBM is critical. Here, we conducted a transcriptional profiling analysis of T-cell immunity in the tumour microenvironment of GBM patients and identified two novel T cell exhaustion (TEX)-related GBM subtypes (termed TEX-C1 and TEX-C2) using the consensus clustering. Our multi-omics analysis revealed distinct immunological, molecular and clinical characteristics for these two subtypes. Specifically, the TEX-C1 subtype had higher infiltration levels of immune cells and expressed higher levels of immune checkpoint molecules than the TEX-C2 subtype. Functional analysis revealed that upregulated

SUBMITTER: Liu YH 

PROVIDER: S-EPMC10660619 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature