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Fig. 5 | Journal of Ovarian Research

Fig. 5

From: A signature based on glycosyltransferase genes provides a promising tool for the prediction of prognosis and immunotherapy responsiveness in ovarian cancer

Fig. 5

Effect of the risk signature combined with clinicopathological features on the prognosis of ovarian cancer patients. A, B Univariate and multivariate Cox regression analyses of the correlation between risk score plus clinicopathological features and overall survival. C The predictive ability of these factors was displayed by ROC curves. D Establishment of a prognostic nomogram for ovarian cancer patients by integrating the risk score and clinicopathological characteristics. E The expression of the six glycosyltransferase genes and distribution of clinicopathological characteristics between the two groups are shown by heatmap. When comparing the clinical parameters between the low- and high-risk groups, no significant differences were observed in terms of stage, grade or age

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