Construction and validation of an immune infiltration-related risk model for predicting prognosis and immunotherapy response in low grade glioma.

ABSTRACT:

Background

Low grade glioma (LGG) is considered a heterogeneous tumor with highly variable survival and limited efficacy of immunotherapy. To identify high-risk subsets and apply immunotherapy effectively in LGG, the status and function of immune infiltration in the glioma microenvironment must be explored.

Methods

Four independent glioma cohorts comprising 1,853 patients were enrolled for bioinformatics analysis. We used ConsensusClusterPlus to cluster patients into four different immune subtypes based on immune infiltration. The immune-infiltration signature (IIS) was constructed by LASSO regression analysis. Somatic mutation and copy number variation (CNV) analyses were performed to explore genomic and transcriptomic traits in the high- and low- risk groups. The correlati

SUBMITTER: Li J 

PROVIDER: S-EPMC10403952 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature