Fig. 3

Construction and validation of the risk signature in the TCGA training set. a, b Five glycolysis-related genes (ANGPTL4, PYGB, IRS2, ISG20 and SEH1L) were selected to construct a risk signature according to univariate Cox regression analysis (a) and multivariate Cox regression analysis (b). c Differential mRNA level between ovarian tumor tissues and normal tissues in TCGA training set. *P < 0.05; **P < 0.01; ***P < 0.001. d The correlations between the mRNA levels of the five genes. e PCA based on mRNA data between the low-risk (n = 187) and high-risk groups (n = 188). f The Kaplan–Meier survival curves of the low-risk group and the high-risk group were distinct, indicating the prognostic value of the risk signature. g ROC curves were used to assess the efficiency of the risk signature for predicting 5-, 7- and 9-year survival. h The risk score distribution, the expression profiles of the five genes and the survival status of patients