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Cited by 1,074

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Biocompatibility, Biodistribution, and Drug‐Delivery Efficiency of Mesoporous Silica Nanoparticles for Cancer Therapy in Animals

Open access
Lu, Jie, Liong, Monty, Li, Zongxi, Zink, Jeffrey I., Tamanoi, Fuyuhiko·2010·Small

Abstract

Mesoporous silica nanoparticles (MSNs) are a promising material for drug delivery. In this Full Paper, MSNs are first shown to be well tolerated, as demonstrated by serological, hematological, and histopathological examinations of blood samples and mouse tissues after MSN injection. Biodistribution studies using human cancer xenografts are carried out with in vivo imaging and fluorescent microscopy imaging, as well as with inductively coupled plasma mass spectroscopy. The results show that MSNs preferentially accumulate in tumors. Finally, the drug‐delivery capability of MSNs is demonstrated by following tumor growth in mice treated with camptothecin‐loaded MSNs. These results indicate that MSNs are biocompatible, preferentially accumulate in tumors, and effectively deliver drugs to the tumors and suppress tumor growth.

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Crossref · 10.1002/smll.201000538

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Metadata

Authors
Lu, J., Liong, M., Li, Z., Zink, J. I., & Tamanoi, F.
Venue
Small
Publisher
Wiley
Published
2010-07-07
Volume
6
Issue
16
Pages
1794-1805
ISSN
  • 1613-6810 (ISSN-L)
  • 1613-6829
OpenAlex
W2130002810
Cited by
1,074
References
1
FWCI
30.64
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Biocompatibility, Biodistribution, and Drug‐Delivery Efficiency of Mesoporous Silica Nanoparticles for Cancer Therapy in Animals. https://app.cochat.ai/papers/10.1002/smll.201000538
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Lu, J., Liong, M., Li, Z., Zink, J. I., & Tamanoi, F. (2010). Biocompatibility, Biodistribution, and Drug‐Delivery Efficiency of Mesoporous Silica Nanoparticles for Cancer Therapy in Animals. Small. https://doi.org/10.1002/smll.201000538

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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.