Oral squamous cell carcinoma gene patterns connected with RNA methylation for prognostic prediction

Objectives: To determine whether m6A/m1A/m5C/m7G/m6Am/Psi-related genes influence the prognosis of a patient with oral squamous cell carcinoma. Materials and Methods: We investigated the changes in regulatory genes using publicly available data from The Cancer Genome Atlas. Consensus clustering by RNA methylation-related regulators was used to describe oral squamous cell carcinomas (OSCCs). Then, we developed the prediction model. The tumor microenvironment was investigated using ESTIMATE. Gene set enrichment analysis was used to determine whether pathways or cell types were enriched in different groups. The association between the model and immune-related risk scores was investigated using correlation analysis. Results: We found 22 gene signatures in this analysis and then developed a predictive model that reveals the genes that are highly connected to the overall survival of OSCC patients. The survival and death rates were substantially different in the two groups (high and low risk) classified by the risk scores. The validation cohort verified the phenotypic diversity and prognostic effects of these genes. Conclusion: Our data reveal that immune cell infiltration, genetic mutation, and survival potential in OSCC patients are linked to m6A/m1A/m5C/m7G/m6Am/Psi-related genes, and we constructed a dependable prognostic model for OSCC patients.