Fig. 10

Renal cancer prognosis targets screening, and a cancer risk prognostic model constructing. A Univariate Cox regression analysis initially identified 20 prognostic genes (P < 0.05). B A coefficient profile plot was generated against the log(λ) values in the LASSO regression analysis model. The optimal parameter (λ) was marked with a dashed line on the left. C LASSO regression analysis of the 20 prognostic genes. D Multivariate Cox analysis identified 5 prognostic genes. E Kaplan–Meier survival analysis in high and low risk groups. F ROC curves of overall survival at 1, 3 and 5 years of the prognostic model. G The relationship between the survival status of renal cancer patients and the risk score of the prognostic model, along with changes in gene expression levels as the risk score increases. The dashed line delineates the boundary between the low-risk and high-risk groups