Title | Nanoplasmonic Quantification of Tumor-derived Extracellular Vesicles in Plasma Microsamples for Diagnosis and Treatment Monitoring. |
Publication Type | Journal Article |
Year of Publication | 2017 |
Authors | Liang K, Liu F, Fan J, Sun D, Liu C, Lyon CJ, Bernard DW, Li Y, Yokoi K, Katz MH, Koay EJ, Zhao Z, Hu Y |
Journal | Nat Biomed Eng |
Volume | 1 |
Date Published | 2017 |
ISSN | 2157-846X |
Abstract | Tumour-derived extracellular vesicles (EVs) are of increasing interest as a resource of diagnostic biomarkers. However, most EV assays require large samples, are time-consuming, low-throughput and costly, and thus impractical for clinical use. Here, we describe a rapid, ultrasensitive and inexpensive nanoplasmon-enhanced scattering (nPES) assay that directly quantifies tumor-derived EVs from as little as 1 μL of plasma. The assay uses the binding of antibody-conjugated gold nanospheres and nanorods to EVs captured by EV-specific antibodies on a sensor chip to produce a local plasmon effect that enhances tumour-derived EV detection sensitivity and specificity. We identified a pancreatic cancer EV biomarker, ephrin type-A receptor 2 (EphA2), and demonstrate that an nPES assay for EphA2-EVs distinguishes pancreatic cancer patients from pancreatitis patients and healthy subjects. EphA2-EVs were also informative in staging tumour progression and in detecting early responses to neoadjuvant therapy, with better performance than a conventional enzyme-linked immunosorbent assay. The nPES assay can be easily refined for clinical use, and readily adapted for diagnosis and monitoring of other conditions with disease-specific EV biomarkers. |
DOI | 10.1038/s41551-016-0021 |
Alternate Journal | Nat Biomed Eng |
PubMed ID | 28791195 |
PubMed Central ID | PMC5543996 |
Grant List | R01 AI122932 / AI / NIAID NIH HHS / United States U54 CA143837 / CA / NCI NIH HHS / United States P50 CA126752 / CA / NCI NIH HHS / United States R01 AI113725 / AI / NIAID NIH HHS / United States R01 HD090927 / HD / NICHD NIH HHS / United States |
Related Faculty:
Zhen Zhao, Ph.D.