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. 2023 Oct 16;13:17577. doi: 10.1038/s41598-023-43036-7

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© The Author(s) 2023

Open Access This 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/.

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Obtain the DEGs between DRclusters and identify geneClusters. (A) GSVA analysis of DRclusters. (B) Analysis of immune cell infiltration in DRclusters by ssGSEA. (C) Identification of DEGs between DRclusters. (D, E) GO/KEGG enrichment analysis of DEGs. (F, G) Consensus clustering analysis based on DEGs to obtain geneClusters indicated that the optimal number of subtypes was 4. (H) Kaplan–Meier survival curve analysis of geneClusters. (I) Heatmap of DEGs expression in geneClusters. (J) Expression levels of DRGs in geneClusters. ***: < 0.001; **: < 0.01; *: < 0.05; ns: > 0.05.