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. 2022 Feb 5;22:142. doi: 10.1186/s12885-022-09209-9

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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 — Risk score distribution, Kaplan-Meier analysis and time-dependent ROC analysis of a prognostic model for OS in HCC patient cohort from training (A, D, G) and validation datasets. A, B The distribution of risk score and survival status corresponding to the expression of each gene. C, D Kaplan-Meier analysis suggested that patients in high-risk group had shorter OS than those in low-risk group. E, F Time-dependent ROC curves to assess the performance of gene signature. ROC, receiver operating characteristic; OS, overall survival; HCC, hepatocellular carcinoma; ICGC, International Cancer Genome Consortium Japan