Identification of a Two-m6A RNA Methylation Regulator Risk Signature as an Independent Prognostic Biomarker in Papillary Renal Cell Carcinoma by Bioinformatic Analysis

Figure 5

Relationship between the risk score and the clinicopathological features, as well as OS of pRCC. (a) Relationship between the risk score and the clinicopathological features. The heatmap showed the expression levels of the two m6A RNA methylation regulators in low- and high-risk pRCC patients. It also indicated that the risk score was closely correlated to pT status and pN status of pRCC patients. (b) ROC curves showed the predictive efficiency of the risk signature. (c) Univariate Cox regression analyses of the clinicopathological features (including the risk score). It showed that the risk score, age, stage status, pM status, and pN status were closely correlated to the prognosis of pRCC patients. (d) Multivariate Cox regression analyses of the clinicopathological features (including the risk score). It indicated that the risk score was an independent prognostic biomarker for pRCC patients. pRCC: papillary renal cell carcinoma; ROC: receiver operating characteristic; OS: overall survival; and .

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