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. 2022 Feb 7;13:843538. doi: 10.3389/fgene.2022.843538

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Copyright © 2022 Xu, Gu, Zhang, Zhang, Liang and Cheng.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Clinical application of the risk model. Correlation between the risk model and the clinicopathological characteristics of GC patients (A). Univariate analysis and multivariable analysis were conducted to verify the independent prognosis function of the model (B, C). ROC and DCA curves were performed to confirm the superiority of the risk score in clinical application (D, E). The nomogram was plotted to obtain the predicting survival time of GC patients (F). A calibration curve was utilized to assess the accuracy of the model in predicting patients’ survival time (G). The AUC value of the nomogram (H).