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. 2020 Sep 4;18:342. doi: 10.1186/s12967-020-02492-9

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© The Author(s) 2020

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. 5 — Construction of the nomogram predicting overall survival for HCC patients in the TCGA cohort. a Forrest plot of the univariate and multivariate association of the prognostic model and clinicopathological characteristics with overall survival. b The nomogram was built based on two independent prognostic factors for predicting OS in HCC patients at 1-, 3-, and 5-year. c–e The calibration plot for internal validation of the nomogram. f–h Time‐dependent ROC curves of the nomogram for 1‐,3‐ and 5‐year overall survival in HCC to evaluate the predictive performance of the nomogram. i–k DCA curves of the nomogram for 1‐,3‐ and 5‐year overall survival in HCC to evaluate the clinical decision-making benefits of the nomogram