The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Ultra-sensitive liquid biopsy of circulating extracellular vesicles using ExoScreen
Open accessAbstract
Cancer cells secrete small membranous extracellular vesicles (EVs) into their microenvironment and circulation. Although their potential as cancer biomarkers has been promising, the identification and quantification of EVs in clinical samples remains challenging. Here we describe a sensitive and rapid analytical technique for profiling circulating EVs directly from blood samples of patients with colorectal cancer. EVs are captured by two types of antibodies and are detected by photosensitizer-beads, which enables us to detect cancer-derived EVs without a purification step. We also show that circulating EVs can be used for detection of colorectal cancer using the antigen CD147, which is embedded in cancer-linked EVs. This work describes a new liquid biopsy technique to sensitively detect disease-specific circulating EVs and provides perspectives in translational medicine from the standpoint of diagnosis and therapy. The potential of extracellular vesicles (EVs) as cancer biomarkers is substantial. Here, Yoshioka et al. describe a sensitive technique to analyse EVs directly from blood samples of patients with colorectal cancer, highlighting a liquid biopsy technique with cancer-detection possibilities.
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Cites
Valadi, H., Ekström, K., Bossios, A., Sjöstrand, M., Lee, J. J., & Lötvall, J. O. (2007) · Nature Cell Biology · doi:10.1038/ncb1596 · Cited by 12,834
Extracellular vesicles: Exosomes, microvesicles, and friends
Raposo, G., & Stoorvogel, W. (2013) · Journal of Cell Biology · doi:10.1083/jcb.201211138 · Cited by 8,099
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Liu, C., Zhao, J., Tian, F., Cai, L., Zhang, W., Feng, Q., Chang, J., Wan, F., Yang, Y., Dai, B., et al. (2019) · Nature Biomedical Engineering · doi:10.1038/s41551-018-0343-6 · Cited by 482
Exosomal microRNA in serum is a novel biomarker of recurrence in human colorectal cancer
Matsumura, T., Sugimachi, K., Iinuma, H., Takahashi, Y., Kurashige, J., Sawada, G., Ueda, M., Uchi, R., Ueo, H., Takano, Y., et al. (2015) · British Journal of Cancer · doi:10.1038/bjc.2015.201 · Cited by 453
Self-citationExtracellular vesicles: A bright star of nanomedicine
Wu, P., Zhang, B., Ocansey, D. K. W., Xu, W., & Qian, H. (2021) · Biomaterials · doi:10.1016/j.biomaterials.2020.120467 · Cited by 368
Liang, L.-G., Kong, M.-Q., Zhou, S., Sheng, Y.-F., Wang, P., Yu, T., Inci, F., Kuo, W. P., Li, L.-J., Demirci, U., et al. (2017) · Scientific Reports · doi:10.1038/srep46224 · Cited by 282
Metadata
- Authors
- Yoshioka, Y., Kosaka, N., Konishi, Y., Ohta, H., Okamoto, H., Sonoda, H., Nonaka, R., Yamamoto, H., Ishii, H., Mori, M., Furuta, K., Nakajima, T., Hayashi, H., Sugisaki, H., Higashimoto, H., Kato, T., Takeshita, F., & Ochiya, T.
- Venue
- Nature Communications
- Published
- 2014-04-07
- Volume
- 5
- Issue
- 1
- Pages
- 3591-3591
- ISSN
- 2041-1723 (ISSN-L)
- OpenAlex
- W2034774921
- Cited by
- 598
- References
- 2
- FWCI
- 12.78
- Type
- journal article
- Language
- en
- Open access
- hybrid
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
