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. 2022 Mar 17;22:127. doi: 10.1186/s12876-022-02200-5

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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. 5 — Survival predictability and clinical values of the risk model. A The risk plot shows the risk scores of individual patients in the high- and low-risk groups. B The scatter plot represents the survival status distribution of individual patients in the high- and low-risk groups. C Kaplan–Meier curves indicate patients in the low-risk group experiencing a longer survival time. D–G The strip chart (D) together with the box plots revealed that tumor grade (E), T stage (F), and N stage (G) were statistically significantly related to the risk score. H The univariate Cox regression analysis demonstrated that the T stage, N stage, M stage, and risk score were statistically different. I The multivariate Cox regression analyses indicated that the T stage, N stage, M stage, and risk score can serve as the independent prognostic predictor