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. 2023 Jan 30;21:57. doi: 10.1186/s12967-023-03891-4

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© The Author(s) 2023

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. 3 — Difference of immune score and immune cell infiltration between group A and group B. The results were shown in the form of a complex heat map, in which the abundance of immune cell infiltration predicted by ssGSEA, TIMER, and CIBERSORT between the two groups was presented in the form of a heatmap. The immune score, stromal score, and ESTIMATE score predicted by ESTIMATE are displayed in the form of a bar chart. The yellow density chart on the right side of the heat map shows the average of each index. The statistical method of Mann- WhitneyU test was used to compare the two groups. *: P < 0.05; **: P < 0.01; ***: P < 0.001; ****: P < 0.0001