Abstract
Cancer-derived extracellular vesicles (EVs) have attracted considerable attention for clinical diagnosis. However, a limiting factor in current EV assays is the ability to detect various EV cancer biomarkers expressed at different locations. Here, we report a biomimetic multifunctional nanoplatform for multilayer imaging of cancer biomarkers from the EV surface to the interior without complex pretreatment. Constructed from polydopamine-wrapped gold nanoparticles modified with multiple functional molecules, this nanoplatform can capture EVs from complex samples and target different EV cancer biomarkers for imaging analysis at the single-vesicle level. Combined with 96-well plates, this assay can distinguish cancer cell-derived EVs from normal ones in a high-throughput manner. Using serum samples, EVs from hepatocellular carcinoma (HCC) patients can be distinguished from healthy controls. This convenient workflow represents a promising tool for EV-based cancer diagnosis.
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