FIGURE 4.

Performance of the predictive models in the tissue cohort. A, ROC curve for clinical benefit (n = 76) vs progressive disease (n = 5) after three to four cycles of chemotherapy. Black line: the model with the clinicopathological factors: age, differentiation and prior use of chemotherapy. Red line: the final model after backward selection using the clinicopathological factors combined with miRNA expression levels of miR‐17‐5p, miR‐92b‐3p, and miR‐98‐5p. B, The predictive probabilities for CB vs PD calculated with the miRNA model presented with the red line in (A) (clinicopathological factors combined with miR‐17‐5p, miR‐92b‐3p, and miR‐98‐5p). The median predicted probability of PD and CB is both 0.16. C, ROC curve for objective response (CR and PR (n = 37)) vs SD and PD (n = 44) after three to four cycles of chemotherapy. D, The predictive probabilities for CR and PR vs SD and PD calculated with the miRNA model presented with the red line in (C) (differentiation, miR‐92b‐3p). Median predicted probabilities are 0.47 and 0.58 for CR/PR and SD/PD, respectively. AUC, area under the curve; CB, clinical benefit; diff., differentiation; CR, complete response; PD, progressive disease; PR, partial response; ROC, receiver operator characteristics; SD, stable disease