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ABSTRACT: Background
Establishing a prognostic risk model based on immunological and disulfidptosis signatures enables precise prognosis prediction of oral squamous cell carcinoma (OSCC).Methods
Differentially expressed immune and disulfidptosis genes were identified in OSCC and normal tissues. We examined the model's clinical applicability and its relationship to immune cell infiltration. Additionally, the risk score, ssGSEA, ESTIMATE, and CIBERSORT were used to evaluate the intrinsic molecular subtypes, immunological checkpoints, abundances of tumor-infiltrating immune cell types and proportions between the two risk groups. GO-KEGG and GSVA analyses were performed to identify enriched pathways.Results
We analyzed the correlation immune genes based on the 14 disulfidptosis-r
SUBMITTER: Wu X
PROVIDER: S-EPMC11789412 | biostudies-literature | 2025 Feb
REPOSITORIES: biostudies-literature