FIGURE 3.

Cox regression analysis, ROC analysis and Nomogram of independent prognostic factors and MPMs in ccRCC patients. A‐D, Univariate and multivariate Cox regression analysis enrolling clinical pathologic parameters and MPMs were illustrated in TCGA and CPTAC cohorts using forest plots. Risk score of MPMs significantly predicts prognosis for ccRCC patients in TCGA (P < 0.001, HR = 3.131) and CPTAC cohorts (P = 0.046, HR = 2.893). E‐F, ROC analysis showed robust predictive value of MPMs in TCGA (AUC = 0.768) and CPTAC (AUC = 0.777) cohorts. G, A Nomogram was constructed based on 5 independent prognostic factors, including ISUP grade, pathologic M stage, pathologic T stage, AJCC stage and risk score of MPMs, in ccRCC patients. MPMs, metabolic prediction models; ccRCC, clear cell renal cell carcinoma; TCGA, the cancer genome atlas; CPTAC, Clinical Proteomic Tumor Analysis Consortium