Multi-omics analysis of the oncogenic role of optic in human cancer.

Objective: To investigate the prognostic significance of () in pan-cancer and analyze the relationship between and immune infiltration in cancer.

Results: exhibited high expression levels or mutations in various types of tumor cells, and its expression levels were significantly correlated with the survival rate of tumor patients. In different tumor tissues, there was a notable positive correlation between expression levels and the infiltration of cancer-associated fibroblasts in the immune microenvironment. Additionally, and its related genes were found to be involved in several crucial biological processes, including protein phosphorylation, protein import into the nucleus, and protein binding.

Conclusion: is highly expressed or mutated in numerous tumors and is strongly associated with protein phosphorylation, patient prognosis, and immune cell infiltration. holds promise as a novel prognostic marker with potential clinical utility across various tumor types.

Methods: We examined expression in pan-cancer at both the gene and protein levels using various databases, including Tumor Immune Estimation Resource 2.0 (TIMER 2.0), Gene Expression Profiling Interactive Analysis (GEPIA2), UALCAN, and The Human Protein Atlas (HPA). We utilized the Kaplan-Meier plotter and GEPIA datasets to analyze the relationship between expression levels and patient prognosis. Through the cBioPortal database, we detected mutations in tumors and examined their relationship with patient prognosis. We employed the TIMER 2.0 database to explore the correlation between expression levels in tumor tissue and the infiltration of cancer-associated fibroblasts in the immune microenvironment. Furthermore, we conducted a gene search associated with and performed enrichment analysis to identify the main signaling pathways and biological processes linked to them.