The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.
Focus on Extracellular Vesicles: New Frontiers of Cell-to-Cell Communication in Cancer
Open accessAbstract
Extracellular Vesicles (EVs) have received considerable attention in recent years, both as mediators of intercellular communication pathways that lead to tumor progression, and as potential sources for discovery of novel cancer biomarkers. For many years, research on EVs has mainly investigated either the mechanism of biogenesis and cargo selection and incorporation, or the methods of EV isolation from available body fluids for biomarker discovery. Recent studies have highlighted the existence of different populations of cancer-derived EVs, with distinct molecular cargo, thus pointing to the possibility that the various EV populations might play diverse roles in cancer and that this does not happen randomly. However, data attributing cancer specific intercellular functions to given populations of EVs are still limited. A deeper functional, biochemical and molecular characterization of the various EV classes might identify more selective clinical markers, and significantly advance our knowledge of the pathogenesis and disease progression of many cancer types.
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Cites
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The biology , function , and biomedical applications of exosomes
Kalluri, R., & LeBleu, V. S. (2020) · Science · doi:10.1126/science.aau6977 · Cited by 10,770
Extracellular Vesicles in Cancer: Cell-to-Cell Mediators of Metastasis
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Exosomes as drug carriers for cancer therapy and challenges regarding exosome uptake
Zhao, X., Wu, D., Ma, X., Wang, J., Hou, W., & Zhang, W. (2020) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2020.110237 · Cited by 197
Modularized Extracellular Vesicles: The Dawn of Prospective Personalized and Precision Medicine
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Biocompatible Nanovesicular Drug Delivery Systems with Targeting Potential for Autoimmune Diseases
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Metadata
- Authors
- Ciardiello, C., Cavallini, L., Spinelli, C., Yang, J., Reis-Sobreiro, M., De Candia, P., Minciacchi, V., & Di Vizio, D.
- Venue
- International Journal of Molecular Sciences
- Publisher
- MDPI AG
- Published
- 2016-02-06
- Volume
- 17
- Issue
- 2
- Pages
- 175
- ISSN
- 1422-0067 (ISSN-L)
- OpenAlex
- W2266388180
- Cited by
- 316
- References
- 8
- FWCI
- 19.71
- Type
- journal article
- Language
- en
- Open access
- gold
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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.
