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Cited by 654

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

Investigating the optimal size of anticancer nanomedicine

Open access
Tang, Li, Yang, Xujuan, Yin, Qian, Cai, Kaimin, Wang, Hua, Chaudhury, Isthier, Yao, Catherine, Zhou, Qin, Kwon, Mincheol, Hartman, James A., Dobrucki, Iwona T., Dobrucki, Lawrence W., Borst, Luke B., Lezmi, Stéphane, Helferich, William G., Ferguson, Andrew L., Fan, Timothy M., Cheng, Jianjun·2014·Proceedings of the National Academy of Sciences

Abstract

Significance: Understanding the interdependency of physiochemical properties of nanomedicine (NM) in correlation to its biological response and function is crucial for additional development of anticancer NM. Here, we prepared monodisperse drug–silica nanoconjugates in three distinct sizes (20, 50, and 200 nm) with other physiochemical properties controlled to be identical to investigate size-dependent biodistribution, tumor tissue penetration and clearance, and anticancer efficacy in various tumor models. We also developed a mathematical model of the spatiotemporal distribution of NM within a tumor to gain insight into the size-dependent interaction with tumor. Our studies show clear evidence that there is an optimal size of anticancer NM and that NM with the optimal size has the highest tumor retention integrated over time.

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Metadata

Authors
Tang, L., Yang, X., Yin, Q., Cai, K., Wang, H., Chaudhury, I., Yao, C., Zhou, Q., Kwon, M., Hartman, J. A., Dobrucki, I. T., Dobrucki, L. W., Borst, L. B., Lezmi, S., Helferich, W. G., Ferguson, A. L., Fan, T. M., & Cheng, J.
Venue
Proceedings of the National Academy of Sciences
Published
2014-10-14
Volume
111
Issue
43
Pages
15344-15349
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2126036312
Cited by
654
References
6
FWCI
15.86
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Investigating the optimal size of anticancer nanomedicine. https://app.cochat.ai/papers/10.1073/pnas.1411499111
The paper
Tang, L., Yang, X., Yin, Q., Cai, K., Wang, H., Chaudhury, I., Yao, C., Zhou, Q., Kwon, M., Hartman, J. A., Dobrucki, I. T., Dobrucki, L. W., Borst, L. B., Lezmi, S., Helferich, W. G., Ferguson, A. L., Fan, T. M., & Cheng, J. (2014). Investigating the optimal size of anticancer nanomedicine. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1411499111

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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.