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Cited by 319

The DOI matches its Crossref record; 78 of the 78 references it cites were found in a registry or an index.

Efficacy, long-term toxicity, and mechanistic studies of gold nanorods photothermal therapy of cancer in xenograft mice

Open access
Ali, Moustafa R. K., Rahman, Mohammad Aminur, Wu, Yue, Han, Tiegang, Peng, Xianghong, Mackey, Megan A., Wang, Dongsheng, Shin, Hyung Ju, Chen, Zhuo G., Xiao, Haopeng, Wu, Ronghu, Tang, Yan, Shin, Dong M., El-Sayed, Mostafa A.·2017·Proceedings of the National Academy of Sciences

Abstract

Significance: This is a systematic in vivo study of gold nanorods (AuNRs)-assisted plasmonic photothermal therapy (AuNRs-PPTT) for cancer. We have optimized the properties of our AuNRs and the conditions of PPTT to achieve maximal induction of tumor apoptosis. To examine the molecular mechanisms of action of AuNRs-PPTT, we used quantitative proteomics to study protein expression levels in mouse tumor tissues and found the apoptosis pathway to be significantly perturbed. We report a long-term toxicity study (up to 15 months in the mouse model) that showed no toxicity of the AuNRs. Together, these data suggest that our AuNRs-PPTT has potential as an approach to cancer therapy.

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Metadata

Authors
Ali, M. R. K., Rahman, M. A., Wu, Y., Han, T., Peng, X., Mackey, M. A., Wang, D., Shin, H. J., Chen, Z. G., Xiao, H., Wu, R., Tang, Y., Shin, D. M., & El-Sayed, M. A.
Venue
Proceedings of the National Academy of Sciences
Published
2017-03-29
Volume
114
Issue
15
Pages
E3110-E3118
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2603681984
Cited by
319
References
78
FWCI
15.48
Type
journal article
Language
en
Open access
green

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The paper
Ali, M. R. K., Rahman, M. A., Wu, Y., Han, T., Peng, X., Mackey, M. A., Wang, D., Shin, H. J., Chen, Z. G., Xiao, H., Wu, R., Tang, Y., Shin, D. M., & El-Sayed, M. A. (2017). Efficacy, long-term toxicity, and mechanistic studies of gold nanorods photothermal therapy of cancer in xenograft mice. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1619302114

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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.