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. 2024 Sep 28;30(36):4057–4070. doi: 10.3748/wjg.v30.i36.4057

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©The Author(s) 2024. Published by Baishideng Publishing Group Inc. All rights reserved.

This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial.

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Risk score analysis, prognostic performance, and survival analysis based on the prognostic model. A: Least absolute shrinkage and selection operator (LASSO) regression analysis with tenfold cross-validation was performed to construct a model based on 3 hypoxia-related genes; B: The coefficient distribution in the LASSO regression model; C: Risk scores and survival time distribution of patients in the cancer genome atlas-pancreatic adenocarcinoma (TCGA-PAAD) cohort stratified by the risk score of the hypoxia-related model; D: Kaplan-Meier analysis of overall survival (OS) for the risk groups in the TCGA-PAAD cohort (P = 0.005); E: The receiver operating characteristic curves of the risk score model for predicting 1-year [area under the curve (AUC) = 0.687], 3-year (AUC = 0.749), and 5-year (AUC = 0.796) OS in the TCGA-PAAD cohort.