The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Nanoplasmonic quantification of tumour-derived extracellular vesicles in plasma microsamples for diagnosis and treatment monitoring
Open accessAbstract
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. A rapid, inexpensive and ultrasensitive assay that uses antibody-conjugated nanoparticle probes on the surface of a sensor chip quantifies tumour-derived extracellular vesicles to detect pancreatic cancer from 1 μl of blood plasma.
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Cites
Extracellular vesicles: Exosomes, microvesicles, and friends
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Glypican-1 identifies cancer exosomes and detects early pancreatic cancer
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FKBP51 Affects Cancer Cell Response to Chemotherapy by Negatively Regulating Akt
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Cited by
Théry, C., Witwer, K. W., Aikawa, E., Alcaraz, M. J., Anderson, J. D., Andriantsitohaina, R., Antoniou, A., Arab, T., Archer, F., Atkin‐Smith, G. K., et al. (2018) · Journal of Extracellular Vesicles · doi:10.1080/20013078.2018.1535750 · Cited by 11,099
Self-citationThe evolving translational potential of small extracellular vesicles in cancer
Möller, A., & Lobb, R. J. (2020) · Nature Reviews Cancer · doi:10.1038/s41568-020-00299-w · Cited by 544
Exosome detection via the ultrafast-isolation system: EXODUS
Chen, Y., Zhu, Q., Cheng, L., Wang, Y., Li, M., Yang, Q., Hu, L., Lou, D., Li, J., Dong, X., et al. (2021) · Nature Methods · doi:10.1038/s41592-020-01034-x · Cited by 412
Self-citationThe Exosome Total Isolation Chip
Liu, F., Vermesh, O., Mani, V., Ge, T. J., Madsen, S. J., Sabour, A., Hsu, E.-C., Gowrishankar, G., Kanada, M., Jokerst, J. V., et al. (2017) · ACS Nano · doi:10.1021/acsnano.7b04878 · Cited by 396
Self-citationWang, S., Zheng, Y., Yang, F., Zhu, L., Zhu, X.-Q., Wang, Z.-F., Wu, X.-L., Zhou, C.-H., Yan, J.-Y., Hu, B.-Y., et al. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-021-00659-4 · Cited by 369
Metadata
- Authors
- Liang, K., Liu, F., Fan, J., Sun, D., Liu, C., Lyon, C. J., Bernard, D. W., Li, Y., Yokoi, K., Katz, M. H., Koay, E. J., Zhao, Z., & Hu, Y.
- Venue
- Nature Biomedical Engineering
- Published
- 2017-02-06
- Volume
- 1
- Issue
- 4
- ISSN
- 2157-846X (ISSN-L)
- OpenAlex
- W2587366712
- Cited by
- 364
- References
- 7
- FWCI
- 13.49
- Type
- journal article
- Language
- en
- Open access
- green
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- Liang, K., Liu, F., Fan, J., Sun, D., Liu, C., Lyon, C. J., Bernard, D. W., Li, Y., Yokoi, K., Katz, M. H., Koay, E. J., Zhao, Z., & Hu, Y. (2017). Nanoplasmonic quantification of tumour-derived extracellular vesicles in plasma microsamples for diagnosis and treatment monitoring. Nature Biomedical Engineering. https://doi.org/10.1038/s41551-016-0021
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