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. 2024 Apr 5;24:420. doi: 10.1186/s12885-024-12107-x

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© The Author(s) 2024

Open Access This 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. 4 — Correlation analysis between VMRI and tumor microenvironment. (A) Comparison of tumor purity, ESTIMATE score, immunity score and stroma score of patients in high/low VMRI group. (B) GSEA analysis of patients in the high VMRI group. (C) Comparison of immune cell infiltration levels and immune-related functions in patients in the high/low PMGI group by ssGSEA analysis. (D) XCELL and CIBERSORT software to analyze the correlation between VMRI and immune cell infiltration. immune infiltration levels of patients in the high VMRI group (E-G) and patients in the low VMRI group (H-J) in TCGA pathology sections. Note * p < 0.05, **p < 0.01, ***p < 0.001