Abstract
Glioma is a devastating type of brain tumor with high morbidity and mortality rates. Despite current treatment options, the prognosis for glioma patients remains poor. Metabolic reprograming has emerged as a crucial aspect of tumorigenesis, and the oxidative phosphorylation pathway has received increasing attention as a promising target for cancer treatment. In this study, we conducted a comprehensive analysis of transcriptome data to identify differentially expressed genes related to oxidative phosphorylation in glioma. Based on these findings, we developed the first oxidative phosphorylation‐based prognostic and diagnostic signatures and investigated the methylation level of oxidative phosphorylation‐related genes, constructed miRNA–mRNA regulatory networks, and screened potential oxidative phosphorylation pathway inhibitors. Moreover, we analyzed the immune cell infiltration pattern based on oxidative phosphorylation‐related genes’ expression and found that the high‐oxidative phosphorylation group had more inhibitory immune cell infiltration. Overall, this study provides novel insights into the possible molecular mechanisms of oxidative phosphorylation in glioma progression and identifies potential targets for future glioma therapy.
Funder
National Natural Science Foundation of China
Xiamen Municipal Bureau of Science and Technology
Natural Science Foundation of Fujian Province