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Cited by 359

The DOI matches its Crossref record; 250 of the 250 references it cites were found in a registry or an index.

Tumor microenvironment-responsive intelligent nanoplatforms for cancer theranostics

Gong, Fei, Yang, Nailin, Wang, Xianwen, Zhao, Qi, Chen, Qian, Liu, Zhuang, Cheng, Liang·2020·Nano Today

Abstract

Abstract The design and development of tumor microenvironment (TME)-responsive intelligent nanoplatforms have attracted increasing interest to enhance the therapeutic effects of drugs, due to their potential to address some significant therapeutic issues, such as unsatisfying therapeutic outcomes and serious side effects. In this review, we mainly summarize the strategies used to construct these nanoplatforms based on characteristic factors present at high levels in the TME, including acidic pH values, endogenous H2O2, over-expressed enzymes, hypoxia-induced by insufficient oxygen supply, excess level of GSH, and other factors. These nanoplatforms that utilize the enhanced permeability and retention (EPR) effect and TME-triggered drug delivery enhance the therapeutic outcomes, minimize the side effects, and achieve image-guided therapy. Furthermore, the limitations and prospects of these nanoplatforms for enhanced cancer therapy are also discussed.

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Metadata

Authors
Gong, F., Yang, N., Wang, X., Zhao, Q., Chen, Q., Liu, Z., & Cheng, L.
Venue
Nano Today
Publisher
Elsevier BV
Published
2020-06
Volume
32
Pages
100851
ISSN
1748-0132 (ISSN-L)
OpenAlex
W3008246702
Cited by
359
References
250
FWCI
17.03
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Tumor microenvironment-responsive intelligent nanoplatforms for cancer theranostics. https://app.cochat.ai/papers/10.1016/j.nantod.2020.100851
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Gong, F., Yang, N., Wang, X., Zhao, Q., Chen, Q., Liu, Z., & Cheng, L. (2020). Tumor microenvironment-responsive intelligent nanoplatforms for cancer theranostics. Nano Today. https://doi.org/10.1016/j.nantod.2020.100851

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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