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Cited by 232

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Stimuli-Responsive Nanomedicines for Overcoming Cancer Multidrug Resistance

Open access
Zhou, Lei, Wang, Hao, Li, Yaping·2018·Theranostics

Abstract

Chemotherapy is still a main option for cancer therapy, but its efficacy is often unsatisfying due to multidrug resistance (MDR). The tumor microenvironment is considered a dominant factor causing MDR. Stimuli-responsive nanomedicines exhibit many superiorities for reversal of MDR. As smart systems, stimuli-responsive nanomedicines are desirable for achieving site-specific accumulation and triggered drug release in response to slight changes in physicochemical properties in pathological conditions or to exogenous stimuli. In this review, we highlight the current progress of various nanomedicines with different stimuli-responsive capabilities for overcoming MDR. The materials, design, construction as well as efficacy in overcoming MDR of these nanomedicines are discussed. Eventually, we look forward to forthcoming intelligent nanoparticle systems with new mechanisms to deliver drugs for practical applications in conquering cancer MDR.

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Metadata

Authors
Zhou, L., Wang, H., & Li, Y.
Venue
Theranostics
Published
2018
Volume
8
Issue
4
Pages
1059-1074
ISSN
1838-7640 (ISSN-L)
OpenAlex
W2782551600
Cited by
232
References
5
FWCI
9.43
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Stimuli-Responsive Nanomedicines for Overcoming Cancer Multidrug Resistance. https://app.cochat.ai/papers/10.7150/thno.22679
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Zhou, L., Wang, H., & Li, Y. (2018). Stimuli-Responsive Nanomedicines for Overcoming Cancer Multidrug Resistance. Theranostics. https://doi.org/10.7150/thno.22679

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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.