Figure 2.

Distinct molecular characteristics of epithelial cells in OC and construction of EMT gene set risk factor model. (A) The proportion of different cell types in different samples. (B) The developmental pseudo-time of epithelial cells inferred by analysis with Monocle2. (C) GSVA analysis for C0 and C1. (D) The forest plot of the association between 10 gene signature levels and overall survival in the training cohort. HR, 95% CI, and P values were determined by univariate Cox regression analysis. (E) A nomogram for predicting the 1-, 3- and 5-year OS for OC patients. (F) Calibration curves for nomogram. The light grey line indicates the ideal reference line where predicted probabilities would match the observed survival rates. The red dots are calculated by bootstrapping and represent the performance of the nomogram. The closer the solid red line is to the light grey line, the more accurately the model predicts survival. (G) The ROC curves of the diagnostic performance of the model. (H) Risk score distribution, survival status, and gene expression profile of patients in high-risk score group and low-risk score group in the training dataset. (I) Kaplan Meier curve of OS in a high-risk group and low-risk group of the training dataset.