Using only clinical data for renal cancer stage classification may have limitations in terms of capturing the full complexity of the disease. Clinical data alone may not provide a comprehensive understanding of the underlying biological mechanisms and variations in cancer progression. To improve the approach, incorporating genetic or radiomics data can offer additional insights. Genetic data can reveal molecular characteristics and genetic mutations associated with cancer, while radiomics data from imaging techniques can provide detailed information about tumor characteristics. By integrating these data types with clinical information, a more holistic and personalized approach to cancer staging can be achieved. This multidimensional approach can enhance the accuracy of diagnosis and treatment planning for renal cancer patients.