Comprehensive characterization of respiratory genes based on a computational framework in pan-cancer to develop stratified treatment strategies

• DOI: 10.1371/journal.pcbi.1012963
• Publication Date: 2025-04-09T17:25:20Z
• Authors: Caiyu Zhang; Chenyu Liu; Zhuoru Wang; Di Wang; Wenli Chen; Jian Li; Qianyi Lu; Jiajun Zhou; Yetong Chang; Peng Wang; Yue Gao; Junwei Wang; Hui Zhi; Shangwei Ning

Abnormal cellular respiration plays a critical role in carcinogenesis. However, the molecular mechanisms underlying dysregulation of respiratory gene expression across different cancer types remain unclear. Here, we developed computational framework that provides an analytical approach for exploring alterations and clinical relevance genes pan-cancer. We identified total 53 signatures three stages (including glycolysis, tricarboxylic acid cycle, oxidative phosphorylation) through this found they were broadly differentially expressed genetically altered 33 types. Pathway analysis manifested levels almost all remarkably associated with activation or inhibition numerous oncogenic pathways, such as metabolism, angiogenesis, cell proliferation, apoptosis. Survival highlighted tumor suppressor potential signatures. In particular, VCAN has shown significant features multiple Finally, number could be therapeutic targets, including . also predicted small-molecule compounds targeting components pathways regulated by them. Overall, our comprehensive greatly enhanced understanding tumorigenesis progression, provided insights into developing new strategies.