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. 2023 Feb 2;28:55. doi: 10.1186/s40001-023-01012-x

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© The Author(s) 2023

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. 4 — Construction and validation the nomogram: univariable (A) and multivariable (B) Cox regression model in the TCGA database, univariable (C) and multivariable (D) Cox regression model in the GSE13507 dataset, the nomograms based on the TCGA (E) and GSE13507 datasets (F), The calibration curves of the TCGA nomogram (G) and GSE13507 nomogram (H). N: lymph node metastasis; M: distant metastasis; WHO: World Health Organization