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The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Stimuli-responsive cross-linked micelles for on-demand drug delivery against cancers

Open access
Li, Yuanpei, Xiao, Kai, Zhu, Wei, Deng, Wenbin, Lam, Kit S.·2014·Advanced Drug Delivery Reviews

Abstract

Stimuli-responsive cross-linked micelles (SCMs) represent an ideal nanocarrier system for drug delivery against cancers. SCMs exhibit superior structural stability compared to their non-crosslinked counterpart. Therefore, these nanocarriers are able to minimize the premature drug release during blood circulation. The introduction of environmentally sensitive crosslinkers or assembly units makes SCMs responsive to single or multiple stimuli present in tumor local microenvironment or exogenously applied stimuli. In these instances, the payload drug is released almost exclusively in cancerous tissue or cancer cells upon accumulation via enhanced permeability and retention effect or receptor mediated endocytosis. In this review, we highlight recent advances in the development of SCMs for cancer therapy. We also introduce the latest biophysical techniques, such as electron paramagnetic resonance (EPR) spectroscopy and fluorescence resonance energy transfer (FRET), for the characterization of the interactions between SCMs and blood proteins.

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Metadata

Authors
Li, Y., Xiao, K., Zhu, W., Deng, W., & Lam, K. S.
Venue
Advanced Drug Delivery Reviews
Publisher
Elsevier BV
Published
2014-02
Volume
66
Pages
58-73
ISSN
0169-409X (ISSN-L)
OpenAlex
W2028481823
Cited by
292
References
3
FWCI
1.32
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Stimuli-responsive cross-linked micelles for on-demand drug delivery against cancers. https://app.cochat.ai/papers/10.1016/j.addr.2013.09.008
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Li, Y., Xiao, K., Zhu, W., Deng, W., & Lam, K. S. (2014). Stimuli-responsive cross-linked micelles for on-demand drug delivery against cancers. Advanced Drug Delivery Reviews. https://doi.org/10.1016/j.addr.2013.09.008

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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.