By constructing multiple Transformer-based deep learning models and integrating them into a multi-modal combined model, we achieved high accuracy in predicting TP53 mutations and successfully captured cross-cancer imaging phenotypes significantly associated with TP53 status. The gene discussed is TP53; the disease is cancer.