Fig. 4From: A signature based on glycosyltransferase genes provides a promising tool for the prediction of prognosis and immunotherapy responsiveness in ovarian cancerThe Kaplan‒Meier OS analysis of prognostic models and the ROC curves showing the predictive efficiency of the risk signature. The patients in the two datasets were assigned to the high-risk and low-risk groups (separately represented by red and blue), taking the median risk score as the threshold. A, B In the TCGA discovery set, the survival rate of the high-risk group was lower than that of the low-risk group (P < 0.001). The areas under the curves (AUCs) at 1, 3, and 5 years were 0.640, 0.655, and 0.659, respectively. C, D In the GEO validation cohort, the survival rate was lower for the high-risk group than for the low-risk group (P < 0.001). The areas under the curve (AUCs) at 1, 3, and 5 years were 0.737, 0.671, and 0.660, respectivelyBack to article page