Nanoplasmonic quantification of tumour-derived extracellular vesicles in plasma microsamples for diagnosis and treatment monitoring

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作者
Kai Liang
Fei Liu
Jia Fan
Dali Sun
Chang Liu
Christopher J. Lyon
David W. Bernard
Yan Li
Kenji Yokoi
Matthew H. Katz
Eugene J. Koay
Zhen Zhao
Ye Hu
机构
[1] Houston Methodist Research Institute,Department of Nanomedicine
[2] Institute of Biophysics,Department of Pathology and Genomic Medicine
[3] Chinese Academy of Sciences,Department of Surgical Oncology, Division of Surgery
[4] School of Biological and Health Systems Engineering,Division of Radiation Oncology
[5] Virginia G. Piper Biodesign Center for Personalized Diagnostics,Department of Laboratory Medicine
[6] The Biodesign Institute,undefined
[7] Arizona State University,undefined
[8] Houston Methodist Hospital,undefined
[9] The University of Texas M.D. Anderson Cancer Center,undefined
[10] University of Texas M.D. Anderson Cancer Center,undefined
[11] Clinical Center,undefined
[12] National Institutes of Health,undefined
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摘要
Tumour-derived extracellular vesicles (EVs) are of increasing interest as a resource of diagnostic biomarkers. However, most EV assays require large samples and 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 tumour-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.
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