ATM and neoplasm: Among the applied machine learning approaches, the XGBoost model exhibited the highest performance; in addition to clinical factors such as age, tumor size, NPI, and radiotherapy, molecular biomarkers including ATM, HERC2, AKT2, FOXO3, and CYP3A43 provided critical contributions to survival prediction.