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. 2024 Jan 2;24:7. doi: 10.1186/s12885-023-11761-x

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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/. 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. 1 — Consensus clustering identified two stemness-based subtypes. (A-B) Delta area curves of consensus clustering; (C) Heatmap depicting consensus clustering solution (k = 2) for 26 stemness scores in LUAD;(D) Heat map of the distribution of 26 stemness scores in different stemness subtypes;(E) Distribution of mRNAsi in different stemness subtypes;(F) Kaplan–Meier overall survival curves for patients with lung adenocarcinoma between different stemness subtypes; (G) The distribution of Exclusion, TIDE and Dysfunction scores in the different subtypes of stemness; (H) Distributions of responder and non-responder to immunotherapy predicted by the TIDE algorithm among distinct stemness clusters. (***p < 0.001; **p < 0.01; *p < 0.05; ns: not significant)