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. 2022 Jul 19;30(2):576–589. doi: 10.1007/s43032-022-01023-9

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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/.

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Fig. 8 — Potential role of risk signature in UCEC immune status and m6A-related genes. A The heatmap for immune responses based on TIMER, CIBERSORT, CIBERSORT-ABS, QUANTISEQ, MCPCOUNTER, XCELL, and EPIC between low-risk and high-risk group. B Comparison of ssGSEA scores of 16 types of immune cells between low-risk and high-risk group. C Comparison of the enrichment scores of 13 immune-related pathways between low-risk and high-risk group. D Expression of immune checkpoints between high-risk groups and low-risk groups. E Associations between the risk signature and m6A-related genes. P values mean: *P < 0.05; **P < 0.01; ***P < 0.001; ns not significant