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. 2024 Oct 28;24:419. doi: 10.1186/s12883-024-03924-5

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© The Author(s) 2024

Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, 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 you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. 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-nc-nd/4.0/.

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Fig. 9 — The predictive role of risk model of TCGA for ICI treatment response. (A) The box plot of immune checkpoint expression in the high-risk score group and low-risk score group. (B) Correlation analysis between the expression levels of risk model-related genes and the expression levels of immune checkpoints. (C) Correlation analysis between the risk score and TIDE score. (D) The box plot of risk score for predicting ICI treatment true responder and false responder gliomas using the TIDE algorithm. (E) The box plot of Dysfunction score for high-risk score group and low-risk score group. (F) The box plot of Dysfunction score for high-risk score group and low-risk score group. (G) The box plot of MSI score for high-risk score group and low-risk score group. (H) The box plot of MDSC for high-risk score group and low-risk score group. (I) The box plots of CAF for high-risk score group and low-risk score group. (J) The ROC curve of the risk score predicting response to ICI treatment