Extracellular
vesicles (EVs) have been widely used in liquid biopsy
to diagnose and monitor cancers. However, since samples containing
EVs are usually body fluids with complex components, the cumbersome
separation steps for EVs during detection limit the clinical application
and promotion of EV detection methods. In this study, a dyad lateral
flow immunoassay (LFIA) strip for EV detection, containing CD9-CD81
and EpCAM-CD81, was developed to detect universal EVs and tumor-derived
EVs, respectively. The dyad LFIA strip can directly detect trace plasma
samples and effectively distinguish the cancerous sample from healthy
plasma. The limit of detection for detecting universal EVs was 2.4
× 105 mL–1. The whole immunoassay
can be performed in 15 min and only consumes 0.2 μL of plasma
for one test. To improve the suitability of a dyad LFIA strip in complex
scenarios, a smartphone-based photographic method was developed, which
provided a consistency of 96.07% to a specialized fluorescence LFIA
strip analyzer. In further clinical testing, EV-LFIA discriminated
lung cancer patient groups (n = 25) from healthy
controls (n = 22) with 100% sensitivity and 94.74%
specificity at the best cutoff. The detection of EpCAM-CD81 tumor
EVs (TEVs) in lung cancer plasma revealed the differences in TEVs
in individuals, which reflected the different treatment effects. TEV-LFIA
results were compared with CT scan findings (n =
30). The vast majority of patients with increased TEV-LFIA detection
intensity had lung masses that enlarged or remained unchanged in size,
which reported no response to treatment. In other words, patients
who reported no response (n = 22) had a high TEV
level compared with patients who reported a response to treatment
(n = 8). Taken together, the developed dyad LFIA
strip provides a simple and rapid platform to characterize EVs to
monitor lung cancer therapy outcomes.