Fig. 2From: Proteomic characterization of esophageal squamous cell carcinoma response to immunotherapy reveals potential therapeutic strategy and predictive biomarkersThe construction and validation of predictive model for immunotherapy response. A Diagram describing a construction and validation of the predictive model for sensitive (S) and non-sensitive (NS) groups. B The heatmap displaying the 10 signatures that discriminate S and NS for ESCC immunotherapy in the discovery cohort. C Classification error matrix using logistic regression classifier of 80% training set and 20% testing set in the discovery cohort based on the 10 signatures combination. The number of samples identified is noted in each box. D ROC curves showing the predictive effect of this model in the 80% training set and 20% testing set of the discovery cohort. E Classification error matrix and ROC curve showing high sensitivity and specificity of the 10 signatures in the independent ESCC immunotherapy validation cohortBack to article page