Feature selection was performed using the Boruta algorithm, which revealed that both clinical parameters (e.g., age, tumor size, NPI, radiotherapy) and transcriptomic biomarkers (e.g., ATM, HERC2, AKT2, CYP3A43, FOXO3) provided strong prognostic contributions. The gene discussed is CYP3A43; the disease is neoplasm.