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. 2024 Mar 15;16(3):919–932. doi: 10.4251/wjgo.v16.i3.919

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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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Verification by differentially expressed immune related genes. A: The forest plot shows 48 differentially-expressed immune-related genes obtained by univariate Cox regression analysis; B and C: Least Absolute Shrinkage and Selection Operator algorithm was used to screen variables and eliminate genes with high correlation to reduce the number of genes in the risk model and prevent over-fitting of the model.