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. 2021 Feb 18;9:622198. doi: 10.3389/fcell.2021.622198

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Copyright © 2021 Lu, Che, Qu, Zheng, Yang, Bao, Li, Wang, Jin, Wang, Xiao, Qi and Liu.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Identification and characteristic description of the consensus clusters based on succinylation regulators in dataset 1. (A) Consensus clustering CDF for k = 2 to 10 and consensus clustering matrix for k = 3. (B) The different expression pattern of four succinylation regulators in three clusters at mRNA level, ****P < 0.0001. (C) PCA of the total mRNA expression profile in dataset 1. (D) Kaplan-Meier survival curve for ccRCC patients in different clusters. (E) The heatmap demonstrated the expression of four succinylation regulators in patients contained in dataset 1 as well as the association between RS and consensus clusters. CDF, cumulative distribution function; PCA, principal component analysis.