ATP6V0A4 as a novel prognostic biomarker and potential therapeutic target in oral squamous cell carcinoma

Abstract Background: Increasing evidence indicates that the dysregulation of ATP6V0A4 is linked to aggressive behaviors in various types of cancer. Nevertheless, the exact role and molecular mechanisms of ATP6V0A4 in oral squamous cell carcinoma (OSCC) are not yet fully understood. Methods: This study initially integrated TCGA and GEO databases for cross-platform differential gene screening. A prognostic model was constructed using univariate Cox regression and LASSO regression, complemented by random forest algorithms to identify core genes. Subsequently, a multi-omics analysis strategy