Establishment and validation of a prognostic prediction model for glioma based on key genes and clinical factors.

ABSTRACT:

Background

Glioma is a common brain tumour that is associated with poor prognosis. Immunotherapy has shown significant potential in the treatment of gliomas. Herein, we proposed a new prognostic risk model based on immune- and mitochondrial energy metabolism-related differentially expressed genes (IR&MEMRDEGs) to enhance the accuracy of prognostic assessment in patients with glioma.

Methods

Data from samples from 671 glioma patients and 5 normal controls with available follow-up data and prognostic outcomes were downloaded from the Gene Expression Omnibus (GEO) and The Cancer Genome Atlas (TCGA) databases. All data were downloaded on 13 November 2023. IR&MEMRDEGs were screened from the GeneCards website and published literature. Prognostic prediction models were constructed

SUBMITTER: Lin Y 

PROVIDER: S-EPMC11833365 | biostudies-literature | 2025 Jan

REPOSITORIES: biostudies-literature