The risk score for each enrolled patient in the validation dataset was calculated with the same constructed formula based on the prognostic IRGs signature model. Similarly, male GC patients were divided into high- and low-risk groups according to the median risk score. Then, Kaplan–Meier curves for the high- and low-risk groups combined with log-rank test were used to assess the predictive value of the prognostic IRGs signature. Survival ROC curves were applied to assess the predictive power of the model. In addition, the calibration plots for survival probability at 3- or 5-year were generated to evaluate the prognostic accuracy of the nomogram.

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