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Preparation and Application of Cell Membrane-Camouflaged Nanoparticles for Cancer Therapy
Open accessAbstract
Cancer is one of the leading causes of death worldwide. Many treatments have been developed so far, although effective, suffer from severe side effects due to low selectivity. Nanoparticles can improve the therapeutic index of their delivered drugs by specifically transporting them to tumors. However, their exogenous nature usually leads to fast clearance by mononuclear phagocytic system. Recently, cell membrane-camouflaged nanoparticles have been investigated for cancer therapy, taking advantages of excellent biocompatibility and versatile functionality of cell membranes. In this review, we summarized source materials and procedures that have been used for constructing and characterizing biomimetic nanoparticles with a focus on their application in cancer therapy.
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Perspectives on mesenchymal stem cells: Tissue repair, immune modulation, and tumor homing
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Cited by
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Cancer Vaccines, Adjuvants, and Delivery Systems
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Metadata
- Authors
- Zhai, Y., Su, J., Ran, W., Zhang, P., Yin, Q., Zhang, Z., Yu, H., & Li, Y.
- Venue
- Theranostics
- Publisher
- Ivyspring International Publisher
- Published
- 2017
- Volume
- 7
- Issue
- 10
- Pages
- 2575-2592
- ISSN
- 1838-7640 (ISSN-L)
- OpenAlex
- W2735577231
- Cited by
- 312
- References
- 117
- FWCI
- 7.09
- Type
- journal article
- Language
- en
- Open access
- gold
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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Data sources
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.