
Clear cell renal cell carcinoma (ccRCC) poses significant mortality risks, especially in late stages where surgery and traditional therapies often fall short. This study aimed to create a nomogram model for predicting ccRCC patient survival based on tumour stage. Through gene expression analysis and clinical data from databases, PSAT1 emerged as a key predictor. The model incorporating PSAT1 and clinical factors showed superior prognostic accuracy, offering the potential for personalized treatment strategies in ccRCC patients at different stages.
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