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. 2025 Oct 31;25(1):338. doi: 10.1007/s10238-025-01800-1

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© The Author(s) 2025

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.

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Fig. 3 — Construction of PANoptosis scoring system. A. The transcriptomic profile of 91 intersected differentially expressed genes among two PANoptosis clusters. B, C. Representative characteristics of the GO enrichment and KEGG pathways. D. unsupervised clustering analysis was conducted to construct the genomic cluster based on the prognosis-related genes. E. PCA analysis indicated the distinct difference of distribution between PANoptosis-based gene expression clusters. F. The Kaplan–Meier analysis indicated the overall survival for three PANoptosis-based gene expression clusters. G. Unsupervised clustering of prognosis-related genes in different PANoptosis-based gene expression clusters. H. The transcriptomic profile of PANoptosis genes among two PANoptosis clusters