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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. 7 — Verification of the signature of the prognostic risk score for nicotinamide-tryptophan metabolism. (A) Heat map of glioma patients in TCGA based on the distribution of the risk score. (B) Kaplan Meier survival curves for glioma patients in TCGA based on the risk score. (C) ROC curves for predicting 1-, 3-, and 5-year survival of glioma patients by the risk score in TCGA. (D) Heatmap of glioma patients in CGGA mRNAseq693 based on the distribution of the risk score. (E) Kaplan Meier survival curves for glioma patients in CGGA mRNAseq693 based on the risk score. (F) ROC curves for predicting 1-, 3-, and 5-year survival of glioma patients by the risk score in CGGA mRNAseq693. (G) Heatmap of glioma patients in CGGA mRNAseq325 based on the distribution of the risk score. (H) Kaplan Meier survival curves for glioma patients in CGGA mRNAseq325 based on the risk score. (I) ROC curves for predicting 1-, 3-, and 5-year survival of glioma patients by the risk score in CGGA mRNAseq325. (J) Heatmap of glioma patients in CGGA mRNAarray based on the distribution of the risk score. (K) Kaplan Meier survival curves for glioma patients in CGGA mRNAarray based on the risk score. (L) ROC curves for predicting 1-, 3-, and 5-year survival of glioma patients by the risk score in CGGA mRNAarray