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. 2022 Apr 25;20:186. doi: 10.1186/s12967-022-03393-9

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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/. 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. 2 — Construction of the risk model in the GSE10846 training cohort and validation of the risk model in the GSE10846 testing cohort and TCGA cohort. A, D, G Distribution of the risk score, survival status, and gene expression of 14 MAGs in the GSE10846 training cohort (A), GSE10846 testing cohort (D) and TCGA cohort (G). B, E, H Kaplan–Meier curves of OS of patients in the high- and lowrisk groups in the GSE10846 training cohort (B), GSE10846 testing cohort (E) and TCGA cohort (H). C, F, I ROC curves for predicting the 1/2/3-year overall survival in the GSE10846 training cohort (C), GSE10846 testing cohort (F) and TCGA cohort (I)