The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Nanopreparations to overcome multidrug resistance in cancer
Open accessAbstract
Multidrug resistance is the most widely exploited phenomenon by which cancer eludes chemotherapy. Broad variety of factors, ranging from the cellular ones, such as over-expression of efflux transporters, defective apoptotic machineries, and altered molecular targets, to the physiological factors such as higher interstitial fluid pressure, low extracellular pH, and formation of irregular tumor vasculature are responsible for multidrug resistance. A combination of various undesirable factors associated with biological surroundings together with poor solubility and instability of many potential therapeutic small & large molecules within the biological systems and systemic toxicity of chemotherapeutic agents has necessitated the need for nano-preparations to optimize drug delivery. The physiology of solid tumors presents numerous challenges for successful therapy. However, it also offers unique opportunities for the use of nanotechnology. Nanoparticles, up to 400 nm in size, have shown great promise for carrying, protecting and delivering potential therapeutic molecules with diverse physiological properties. In this review, various factors responsible for the MDR and the use of nanotechnology to overcome the MDR, the use of spheroid culture as well as the current technique of producing micro tumor tissues in vitro are discussed in detail.
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Background
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Lipid-based nanovesicles for nanomedicine
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Nanotechnology Strategies To Advance Outcomes in Clinical Cancer Care
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Metadata
- Authors
- Patel, N. R., Pattni, B. S., Abouzeid, A. H., & Torchilin, V. P.
- Venue
- Advanced Drug Delivery Reviews
- Publisher
- Elsevier BV
- Published
- 2013-11
- Volume
- 65
- Issue
- 13-14
- Pages
- 1748-1762
- ISSN
- 0169-409X (ISSN-L)
- OpenAlex
- W2046542140
- Cited by
- 333
- References
- 23
- FWCI
- 4.00
- Type
- journal article
- Language
- en
- Open access
- green
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.