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. 2021 Oct 16;71(6):1313–1330. doi: 10.1007/s00262-021-03076-2

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© The Author(s) 2021

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/.

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Fig. 1 — A The correlation heat map visualized the universal landscape of immune cell interaction in TME. The correlation coefficient decreased in size from red to blue. B Consensus matrixes of all CC samples for appropriate k value (k = 3), displaying the clustering stability using 1000 iterations of hierarchical clustering. All samples were clustered into 3 subtypes. C Kaplan–Meier curves of overall survival in different ICI clusters. Log rank test showed an overall p = 0.072. D Kaplan–Meier curves of overall survival between ICI cluster A and B. Log rank test showed an overall p = 0.045. E The heat map depicted unsupervised clustering of ICI in all CC samples. Rows represented tumor-infiltrating immune cells, and columns represented samples. F The fraction of tumor-infiltrating immune cells, immune score and stromal score in three ICI clusters. The statistical difference of three ICI clusters was compared by the Kruskal–Wallis test. G The difference of PD-L1 expression among distinct ICI clusters. (^*p < 0.05, ^**p < 0.01, ^***p < 0.001, ^nsp > 0.05)