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Cited by 635

The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.

Investigating the Impact of Nanoparticle Size on Active and Passive Tumor Targeting Efficiency

Sykes, Edward A., Chen, Juan, Zheng, Gang, Chan, Warren C.W.·2014·ACS Nano

Abstract

Understanding the principles governing the design of nanoparticles for tumor targeting is essential for the effective diagnosis and treatment of solid tumors. There is currently a poor understanding of how to rationally engineer nanoparticles for tumor targeting. Here, we engineered different-sized spherical gold nanoparticles to discern the effect of particle diameter on passive (poly(ethylene glycol)-coated) and active (transferrin-coated) targeting of MDA-MB-435 orthotopic tumor xenografts. Tumor accumulation of actively targeted nanoparticles was found to be 5 times faster and approximately 2-fold higher relative to their passive counterparts within the 60 nm diameter range. For 15, 30, and 100 nm, we observed no significant differences. We hypothesize that such enhancements are the result of an increased capacity to penetrate into tumors and preferentially associate with cancer cells. We also use computational modeling to explore the mechanistic parameters that can impact tumor accumulation efficacy. We demonstrate that tumor accumulation can be mediated by high nanoparticle avidity and are weakly dependent on their plasma clearance rate. Such findings suggest that empirical models can be used to rapidly screen novel nanomaterials for relative differences in tumor targeting without the need for animal work. Although our findings are specific to MDA-MB-435 tumor xenografts, our experimental and computational findings help to enrich knowledge of design considerations that will aid in the optimal engineering of spherical gold nanoparticles for cancer applications in the future.

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Metadata

Authors
Sykes, E. A., Chen, J., Zheng, G., & Chan, W. C. W.
Venue
ACS Nano
Published
2014-05-22
Volume
8
Issue
6
Pages
5696-5706
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2334426515
Cited by
635
References
6
FWCI
17.96
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Investigating the Impact of Nanoparticle Size on Active and Passive Tumor Targeting Efficiency. https://app.cochat.ai/papers/10.1021/nn500299p
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Sykes, E. A., Chen, J., Zheng, G., & Chan, W. C. W. (2014). Investigating the Impact of Nanoparticle Size on Active and Passive Tumor Targeting Efficiency. ACS Nano. https://doi.org/10.1021/nn500299p

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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.