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. 2020 Feb 18;10:162. doi: 10.3389/fonc.2020.00162

Figure 3.

Figure 3

Prognostic significance of EC-related biomarkers. Survival analysis using Kaplan-Meier plots (A,B) depicting OS and DSS patient survival in relation to dichotomized PIK3CA protein expression. Positive PIK3CA protein expression (blue curve) was associated with longer OS and DSS [P-value = 0.004, HR = 0.27 (95% CI 0.11–0.70); P-value = 0.012, HR = 0.18 (95% CI 0.039–0.81)]. The x-axis depicts days after initial diagnosis and the y-axis survival outcome (OS/DSS). The patient numbers at risk by time (days after initial diagnosis) is shown below the Kaplan-Meier plot. Univariable and multivariable survival analysis for OS/DSS (C,D) showing AUC(t) plots of individual EC-associated biomarkers and in combination (black curve). Multivariable survival analysis (E,F) illustrating improved predictive performance for both OS and DSS when combining protein expression of the EC-related biomarkers with established clinical markers (C-index = 0.79; 0.84). C-index values for each curve are shown in parentheses. Survival analysis was adjusted for age, stage, CA125, ploidy. The x-axis depicts survival time in days and the y-axis C-index values (OS/DSS). KM plotter was used to test the prognostic value of the EC-associated biomarkers in an external ovarian carcinoma dataset containing EC patients (n = 37). Here, PIK3CA gene expression is not associated with OS (G). However, RNA and protein expression for PIK3CA displayed similar trends, where patient samples with low expression shorter OS. Cox proportional hazard model and log-rank tests were used to calculate HR, 95% confidence interval, and log rank P-value for Kaplan-Meier survival analysis and KM Plotter validation analysis.