Fig. 4
From: CD44, TGM2 and EpCAM as novel plasma markers in endometrial cancer diagnosis
Receiver operating characteristic (ROC) curves. a ROC curves for regression models discriminating EC from non-EC samples; RM1 (♦ - 8-marker model: ALDH1A1, CA9, CD44, Hepsin, Kallikrein 6, L1CAM, Midkine, TGM2), RM2 (△ - 5-marker model: ALDH1A1, CD44, EpCAM, Midkine, TGM2). b ROC curves for single makers discriminating EC from control samples (▲ - TGM2; ♦ - CD44; △ - EpCAM). c ROC curves for regression models discriminating EC from control samples, p-value for all AUCs was < 0.001 (♦ - EpCAM-TGM2; △ - EpCAM-TGM2-CD44; ▲ - TGM2-CD44; ■ - CD44-EpCAM). d ROC curve for regression model discriminating EC FIGO IA samples from control samples (▼ - CD44-TGM2). e ROC curve for regression model discriminating EC FIGO IA samples from FIGO IB - III samples (♦ - Mesothelin-G1). f ROC curve for regression model discriminating endometriosis samples from control samples (♦ - CD44-TGM2)