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Cited by 175

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In Vivo Tumor Vasculature Targeting of CuS@MSN Based Theranostic Nanomedicine

Open access
Chen, Feng, Hong, Hao, Goel, Shreya, Graves, Stephen A., Orbay, Hakan, Ehlerding, Emily B., Shi, Sixiang, Theuer, Charles P., Nickles, Robert J., Cai, Weibo·2015·ACS Nano

Abstract

Actively targeted theranostic nanomedicine may be the key for future personalized cancer management. Although numerous types of theranostic nanoparticles have been developed in the past decade for cancer treatment, challenges still exist in the engineering of biocompatible theranostic nanoparticles with highly specific in vivo tumor targeting capabilities. Here, we report the design, synthesis, surface engineering, and in vivo active vasculature targeting of a new category of theranostic nanoparticle for future cancer management. Water-soluble photothermally sensitive copper sulfide nanoparticles were encapsulated in biocompatible mesoporous silica shells, followed by multistep surface engineering to form the final theranostic nanoparticles. Systematic in vitro targeting, an in vivo long-term toxicity study, photothermal ablation evaluation, in vivo vasculature targeted imaging, biodistribution and histology studies were performed to fully explore the potential of as-developed new theranostic nanoparticles.

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Metadata

Authors
Chen, F., Hong, H., Goel, S., Graves, S. A., Orbay, H., Ehlerding, E. B., Shi, S., Theuer, C. P., Nickles, R. J., & Cai, W.
Venue
ACS Nano
Published
2015-04-08
Volume
9
Issue
4
Pages
3926-3934
ISSN
  • 1936-0851 (ISSN-L)
  • 1936-086X
OpenAlex
W2056225309
Cited by
175
References
0
FWCI
14.63
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: In Vivo Tumor Vasculature Targeting of CuS@MSN Based Theranostic Nanomedicine. https://app.cochat.ai/papers/10.1021/nn507241v
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Chen, F., Hong, H., Goel, S., Graves, S. A., Orbay, H., Ehlerding, E. B., Shi, S., Theuer, C. P., Nickles, R. J., & Cai, W. (2015). In Vivo Tumor Vasculature Targeting of CuS@MSN Based Theranostic Nanomedicine. ACS Nano. https://doi.org/10.1021/nn507241v

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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.