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. 2022 Apr 29;22:152. doi: 10.1186/s12903-022-02193-3

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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. 6 — Immune infiltration between high- and low-risk groups. A The relative proportion of immune infiltrates in all patients. B Box plots of immune cell differences between high- and low-risk groups. The horizontal axis is the immune cells and the vertical axis is the relative infiltration proportion of immune cells. P value was calculated by wilcoxon method. (P > 0.05, *: P ≤ 0.05, **: P ≤ 0.01, ***: P ≤ 0.001, ****: P ≤ 0.0001). C Box plots of significantly different immune cells in the high- and low-risk groups. The horizontal axis and the vertical axis are the groups and the relative infiltration proportion of immune cells. P value was calculated by wilcoxon method. D–L The correlation diagrams of 9 immune cell and Risk Score. P value was calculated by t test and r value was calculated by the pearson correlation coefficient. M PCA three-dimensional clustering diagram, points of different colors represent different types of samples