Fig. 6From: Integrated analysis of disulfidptosis-related immune genes signature to boost the efficacy of prognostic prediction in gastric cancerConstruction and validation of prognostic models based on disulfidptosis-related immune genes. A Distribution of risk score. B The survival status and survival time of GC patients ranked by risk score. C The heatmap of GLA, HIF-1Â A, VPS35 and CDC37 in two groups. D Kaplan-Meier analysis between high-risk group and low-risk group. E Time-dependent ROC curve of risk score predicting the 1-, 3-, and 5-year overall survival. F Details of the nomogram. G The calibration curve for predicting 1-, 3-, and 5-year overall survival. H The quick response code of online dynamic nomogram I The OS discrepancy between the high-risk and low-risk groups and the ROC curve of risk score predicting the 1-, 3-, and 5-year OS using the GSE62254 dataset. J The DFS discrepancy between the high-risk and low-risk groups and the ROC curve of risk score predicting the 1-, 3-, and 5-year DFS using the GSE62254 datasetBack to article page