Immunological classification of glioblastoma and its prognostic implications.

ABSTRACT:

Objectives

The progress of immunotherapy for glioblastoma (GBM) is currently slow. To improve immunotherapy, we need a deeper understanding of the immune microenvironment of GBM. Here, we aimed to establish a classification system based on immune expression profile in GBM.

Methods

Immune gene expression profiles of 152 patients with GBM from The Cancer Genome Atlas (TCGA) were used to identify subtypes by consensus clustering, and the classification system was reproduced in the two validation datasets (CGGA and GSE16011). Clinical information, molecular characteristics, immune infiltration, and genomic variation were integrated to characterize the subtypes.

Results

Two distinct immune subtypes in GBM were successfully identified and validated. The Im2 subtype was clos

SUBMITTER: Wang Q 

PROVIDER: S-EPMC9730108 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature