Fig. 4: Overall performance for detecting the presence of early cancer using an EV protein-based logistic classifier.
From: Early-stage multi-cancer detection using an extracellular vesicle protein-based blood test
a ROC curves from comparison of the cancer cases (N = 139) to the controls (N = 184) on the held-out test sets; black line represents the averaged curve of 100 independently resampled held-out test sets (gray lines). AUC area under the ROC curve. b Sensitivities at >99% specificity for detecting either stage I or stage II pancreatic, ovarian, and bladder cancers combined. N for stage I cancers is 88 subjects and the N for stage II cancers is 51 subjects. c Sensitivity at >99% specificity for detecting either stages I and II pancreatic (N = 47), ovarian (N = 44), or bladder (N = 48) cancer. Error bars in both panels (b), (c) represent the two-sided 95% Wilson confidence intervals.
