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. 2025 May 4;15:15592. doi: 10.1038/s41598-025-00222-z

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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. 2 — Determination of two mutational signatures associated with SCLC prognosis in the WES cohort. (A) Cophenetic metric plot of mutational signature numbers determined by the NMF algorithm. (B) Comparison of detected five mutational signatures with validated SBS signatures in the COSMIC database. (C) Detailed mutational features of detected five SBS signatures. (D) Kaplan-Meier survival curves stratified by the SBS4 signature status. (E) Multivariate Cox regression model of SBS4 signature was conducted with several clinical factors taken into consideration. (F) Kaplan-Meier survival curves stratified by the SBS13 signature status. (G) Multivariate Cox regression model of SBS13 signature was conducted with several clinical factors taken into consideration.