Upregulation of Centromere Proteins as Potential Biomarkers for Esophageal Squamous Cell Carcinoma Diagnosis and Prognosis

Figure 3

Forecast models to forecast the prognosis of ESCC patients. (a) Forecast model according to the TNM stage (I+II vs. III+IV) in ESCC. (b) CENPE-based forecast model. (c) Multigene forecast model and survival curve based on the expression of CENPs. (d) Nomogram integrating TNM stage, sex, and CENPs-based risk score to forecast individual OS for ESCC patients. (e) ROC curve to evaluate the nomogram’s performance in forecasting patients’ OS. (f) ROC curves showing the sensitivity and specificity of CENPE, CENPs, and other known biomarkers in forecasting ESCC patients’ survival. The number of samples in (a) was 94, in (b, c) and (f) was 81, and in (d, e) was 79.

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