Fig. 2
From: A plasma 9-microRNA signature for lung cancer early detection: a multicenter analysis
A Hierarchical clustering analysis of the median 36 c-miRs and 13 c-miRs (external signature) expression on real-word multi-center LD-CT screening cohorts of high-risk subjects (Step 4 analysis). Colors are as per the legend. B ROC curves, AUC, and optimism-adjusted AUC (200 bootstrap) for the 9-c-miR model in the following cohorts: MUG screen-detected lung cancer (LC) and normal controls (N), HUM screen-detected lung cancer (LC) and normal controls (N), and IARC GSE64591 lung cancer (LC) and normal controls (N). C ROC curve and AUC for the 9-c-miR model applied to the HUM cohort: screen-detected lung cancer (LC) and benign (BEN). D Distribution of the probability of having lung cancer (tumor predicted probability) using the 9-c-miR model in MUG and HUM cohorts; green lines represent the mean values. E Distribution of tumor predicted probabilities using the 9-c-miR model in the various LC subtypes (adenocarcinoma, AC; squamous cell carcinoma, SCC; and other subtypes, Other); green lines represent the mean values. F ROC curves and AUC for the 9-c-miR model applied to stage I disease only in MUG and HUM cohorts