plasma extracellular vesicle-enriched samples
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not specified
Bioinformatics Analysis; ROC Analysis
Included in a 10-circRNA signature able to discriminate LC from controls (AUC ROC 0.86).
circADAM22 is part of a plasma EV-circRNA 10-feature machine-learning signature that discriminates early-stage NSCLC from non-cancer controls with AUC ROC 0.86; direction of differential expression for this individual circRNA was not reported.
0.2629
Multiplex Analysis of CircRNAs from Plasma Extracellular Vesicle-Enriched Samples for the Detection of Early-Stage Non-Small Cell Lung Cancer.
combined biological and clinical study