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. 2022 Dec 29;12:209. doi: 10.1186/s13578-022-00948-7

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 3 — Establishment of two clusters for copper-induced cell death-related genes in ccRCC. A Consensus matrix of samples in TCGA-ccRCC for k = 2. B The cluster numbers are determined by the lowest proportion of ambiguous clustering. C The cumulative distribution function curves, k = 2 to 9. D The principal component plot is based on copper-induced cell death-related genes. E, F Survival analysis for overall survival (left) and progression-free survival of the two subtypes in the TCGA-ccRCC dataset. G The expression profiles of copper-induced cell death-related genes in two subtypes and normal samples