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. 2022 Oct 29;20:492. doi: 10.1186/s12967-022-03711-1

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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. 3 — Nomogram construction and GEO dataset validation. A–C The left panel shows Kaplan–Meier plots for comparison of low-risk group and high-risk group of overall survival (A), progression-free survival (B) and disease-specific survival (C). The middle panel shows nomograms for comparison of the risk score, and clinical risk characteristics were fabricated to predict the 1-, 3-, and 5-year OS, PFS, and DSS incidences. 1‐, 3‐, and 5‐year ROC curves of the risk score were charted in the right panel to predict OS, PFS, and DSS. D The risk model was validated in independent dataset from GEO, which shows significant predictive value in OS