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. 2021 Mar 4;21:154. doi: 10.1186/s12935-021-01857-4

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© The Author(s) 2021

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 of a risk score formula as an indicator of prognosis with the multivariate Cox regression analysis. a Correlations of significant differentially expressed glycolysis-related genes. b ROC curve analysis of glycolysis-related model at 5 years. c Risk score distribution in each Asian GI cancer patient. d Survival in days of GI cancer patients in ascending order of risk scores. e Heatmap of the expression profile of the five glycolysis-related genes