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. 2021 May 13;9:659294. doi: 10.3389/fcell.2021.659294

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Copyright © 2021 Zhou, Lu, Xun, Xu, Liu, Xia, Lu, Wang and Hu.

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 of ubiquitin patterns using unsupervised consensus clustering and prognosis analysis in the discovery cohort. (A) The workflow of this study. (B) K-means clustering using 758 differentially expressed ubiquitin regulators. (C) CDF curve of the clustering result. (D) Validating the discrimination of k = 3 using t-SNE analysis. (E,F) Overall Survival (OS) and Disease-Free Survival (DFS) of the ubiquitin patterns in the TCGA-KIRC dataset. Statistical difference was compared using the log-rank test.