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. 2022 Dec 21;12:1080985. doi: 10.3389/fonc.2022.1080985

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Copyright © 2022 Liu, Lin, Yang, Shao, Zhao, Wang and Shen

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 cuproptosis-related signature via WGCNA. (A) The correlation between soft threshold and scale free topology model fit signed R2. (B) The correlation between soft threshold and mean connectivity. (C) Clustering of module feature vectors. (D) The correlations between modules and clinical traits were calculated. (E) The high correlation between GS and MM in the brown module in riskscore subgroups. (F) Genes in the brown module were associated with survival status in TCGA. (G) GO enrichment analysis after screening out Hub gene from brown module. (H) KEGG enrichnment analysis after screening out Hub gene from brown module.