Novel prognostic features and personalized treatment strategies for mitochondria-related genes in glioma patients.

ABSTRACT:

Background

Gliomas are the most common intracranial nervous system tumours that are highly malignant and aggressive, and mitochondria are an important marker of metabolic reprogramming of tumour cells, the prognosis of which cannot be accurately predicted by current histopathology. Therefore, Identify a mitochondrial gene with immune-related features that could be used to predict the prognosis of glioma patients.

Methods

Gliomas data were downloaded from the TCGA database and mitochondrial-associated genes were obtained from the MITOCARTA 3.0 dataset. The CGGA, kamoun and gravendeel databases were used as external datasets. LASSO(Least absolute shrinkage and selection operator) regression was applied to identify prognostic features, and area and nomograms under the ROC(Recei

SUBMITTER: Wu J 

PROVIDER: S-EPMC10113561 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature