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. 2022 Nov 6;22:1141. doi: 10.1186/s12885-022-10278-z

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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. 4 — Prognosis score of risking patterns of the CLRM in the TCGA dataset. A1 Kaplan–Meier living profiles of OS of patients in high- as well as low-risking parts of entire dataset (A2) Distribution of CLRM-based risking value. A3 Distinct modes of living condition as well as living time among both groups. A4 The express criterions of CLRM for every patient presented by the clustering analysis heatmap. B-C Relevant results of the training part and testing part