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Cited by 256

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Development of mesoporous silica-based nanoparticles with controlled release capability for cancer therapy

Open access
Mekaru, Harutaka, Lu, Jie, Tamanoi, Fuyuhiko·2015·Advanced Drug Delivery Reviews

Abstract

Nanoparticles that respond to internal and external stimuli to carry out controlled release of anticancer drugs have been developed. In this review, we focus on the development of mesoporous silica based nanoparticles, as this type of materials provides a relatively stable material that is amenable to various chemical modifications. We first provide an overview of various designs employed to construct MSN-based controlled release systems. These systems respond to internal stimuli such as pH, redox state and the presence of biomolecules as well as to external stimuli such as light and magnetic field. They are at a different stage of development; depending on the system, their operation has been demonstrated in aqueous solution, in cancer cells or in animal models. Efforts to develop MSNs with multi-functionality will be discussed. Safety and biodegradation of MSNs, issues that need to be overcome for clinical development of MSNs, will be discussed. Advances in the synthesis of mechanized theranostic nanoparticles open up the possibility to start envisioning future needs for medical equipment.

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Crossref · 10.1016/j.addr.2015.09.009

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Metadata

Authors
Mekaru, H., Lu, J., & Tamanoi, F.
Venue
Advanced Drug Delivery Reviews
Publisher
Elsevier BV
Published
2015-12
Volume
95
Pages
40-49
ISSN
0169-409X (ISSN-L)
OpenAlex
W1801425213
Cited by
256
References
2
FWCI
1.28
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Development of mesoporous silica-based nanoparticles with controlled release capability for cancer therapy. https://app.cochat.ai/papers/10.1016/j.addr.2015.09.009
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Mekaru, H., Lu, J., & Tamanoi, F. (2015). Development of mesoporous silica-based nanoparticles with controlled release capability for cancer therapy. Advanced Drug Delivery Reviews. https://doi.org/10.1016/j.addr.2015.09.009

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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.