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. 2023 Jan 16;21:28. doi: 10.1186/s12967-023-03883-4

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© The Author(s) 2023

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 — Cuproptosis Activation Scoring Model (CuAS) was constructed based on differentially expressed genes among the sample subgroups. A Identification of differentially expressed genes between the two groups based on DESeq2. B Differentially expressed genes were enriched in function by GO-BP analysis. C The KEGG pathway enrichment of differentially expressed genes. D The redundant factors were filtered by the LASSO Cox method to obtain the prognostic marker genes. E Univariate Cox regression was used to identify differentially expressed genes significantly associated with OS. F The contribution of prognostic marker genes to principal components 1 and 2 based on a principal component analysis