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. 2023 Jun 22;23:223. doi: 10.1186/s12890-023-02512-6

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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. 5 — Establishment of a prognostic nomogram for the prognosis of ICI treatment in NSCLC. (A) The survival curves for ICIs-treated patients based on treatment lines; (B) The survival curves for ICIs-treated patients based on smoking history; (C) The survival curves for ICIs-treated patients based on PD-L1 expression; (D) The survival curves for ICIs-treated patients based on the tumor mutational burden (TMB); (E) The survival curves for ICIs-treated patients based on 20-gene mutation signature. (F) The novel nomogram based on patient information to predict the prognosis of ICI treatment. P-values calculated by use of log-rank test