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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. 4 — Construction and evaluation of the PANoptosis-based gene patterns. A, B. The Kaplan–Meier analysis for the OS of patients in the high- and low-risk group among training and validation groups. C-E. The expression and distribution of risk scores of each regulator in the PANoptosis-related risk model among training groups. F–H. The expression and distribution of risk scores of each gene in the PANoptosis-related risk model among validation groups. I, J. ROC curves of training cohort and validation cohort. K. Alluvial diagram shows the differences in PANoptosis cluster, PANoptosis-based gene expression cluster and PANoptosis-related risk score. L, M. Differential analysis of risk scores among PANoptosis cluster and PANoptosis-based gene expression cluster. N. the differential analysis of selected PANoptosis genes between low-risk and high-risk groups