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. 2022 Jul 1;22:721. doi: 10.1186/s12885-022-09801-z

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© The Author(s) 2022

Open AccessThis 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. 8 — A heat map and box plot showing the relationship between risk scores with clinical features and immune cells. A A heatmap showing the correlation between risk scores and clinical characteristics. B Box plot showing the correlation between risk scores and clinical characteristics. C Profiles of PD-L1, CTLA4, IL4I1, and IDO1 expression in the high- and low-risk groups. D The correlation between risk scores with expression of immune cells, including resting memory CD4⁺ T cells, regulatory T cells, Monocytes, M1 macrophages and resting NK cells