[Construction of a prognosis forecasting model for immuno-therapy response in cancer patients by integrating routine clinical parameters and tumor mutational burden].

Abstract excerpt

OBJECTIVES: To develop a machine-learning model that integrates routine clinical parameters with tumor mutational burden (TMB) and to evaluate its performance in predicting responses to programmed death-1 (PD-1)/programmed death-ligand 1(PD-L1) inhibitors across various cancer types. METHODS: We conducted a retrospective study of 146 patients with advanced solid tumors who were treated with PD-1/PD-L1 inhibitors....

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