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Cited by 330

The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.

Nanotechnology for Cancer Therapy Based on Chemotherapy

Open access
Zhao, Chen-Yang, Cheng, Rui, Yang, Zhe, Tian, Zhong-Min·2018·Molecules

Abstract

Chemotherapy has been widely applied in clinics. However, the therapeutic potential of chemotherapy against cancer is seriously dissatisfactory due to the nonspecific drug distribution, multidrug resistance (MDR) and the heterogeneity of cancer. Therefore, combinational therapy based on chemotherapy mediated by nanotechnology, has been the trend in clinical research at present, which can result in a remarkably increased therapeutic efficiency with few side effects to normal tissues. Moreover, to achieve the accurate pre-diagnosis and real-time monitoring for tumor, the research of nano-theranostics, which integrates diagnosis with treatment process, is a promising field in cancer treatment. In this review, the recent studies on combinational therapy based on chemotherapy will be systematically discussed. Furthermore, as a current trend in cancer treatment, advance in theranostic nanoparticles based on chemotherapy will be exemplified briefly. Finally, the present challenges and improvement tips will be presented in combination therapy and nano-theranostics.

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Crossref · 10.3390/molecules23040826

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Metadata

Authors
Zhao, C.-Y., Cheng, R., Yang, Z., & Tian, Z.-M.
Venue
Molecules
Publisher
MDPI AG
Published
2018-04-04
Volume
23
Issue
4
Pages
826
ISSN
1420-3049 (ISSN-L)
OpenAlex
W2796117568
Cited by
330
References
9
FWCI
9.22
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Nanotechnology for Cancer Therapy Based on Chemotherapy. https://app.cochat.ai/papers/10.3390/molecules23040826
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Zhao, C.-Y., Cheng, R., Yang, Z., & Tian, Z.-M. (2018). Nanotechnology for Cancer Therapy Based on Chemotherapy. Molecules. https://doi.org/10.3390/molecules23040826

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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.