Fig. 5

The clinicopathological significance of the prognostic risk model, and a nomogram for predicting OS of OC patients. A Principal component analysis (PCA) and t-distributed stochastic neighbor embedding (t-SNE) analysis showing patients in high-risk and low-risk groups in TCGA dataset (left panel) and ICGC dataset (right panel) were distributed in 2 discrete directions. B Age and pathological stage were significantly associated with the risk score in the TCGA training cohort. C The univariate (left panel) and multivariate (right panel) Cox regression analyses of clinical parameters and immune risk signature of OC patients in the TCGA cohort showing risk score can be used as independent prognostic judgment factors. D The prognostic nomogram for predicting the survival probability of OC patients based on the TCGA training cohort