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Cited by 656

The DOI matches its Crossref record; 128 of the 128 references it cites were found in a registry or an index.

Nanomaterials in Targeting Cancer Stem Cells for Cancer Therapy

Open access
Qin, Weiwei, Huang, Guan, Chen, Zuanguang, Zhang, Yuanqing·2017·Frontiers in Pharmacology

Abstract

Cancer stem cells (CSCs) have been identified in almost all cancers and give rise to metastases and can also act as a reservoir of cancer cells that may cause a relapse after surgery, radiation, or chemotherapy. Thus they are obvious targets in therapeutic approaches and also a great challenge in cancer treatment. The threat presented by CSCs lies in their unlimited proliferative ability and multidrug resistance. These findings have necessitated an effective novel strategy to target CSCs for cancer treatment. Nanomaterials are on the route to providing novel methods in cancer therapies. Although, there have been a large number of excellent work in the field of targeted cancer therapy, it remains an open question how nanomaterials can meet future demands for targeting and eradicating of CSCs. In this review, we summarized recent and highlighted future prospects for targeting CSCs for cancer therapies by using a variety of nanomaterials.

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Metadata

Authors
Qin, W., Huang, G., Chen, Z., & Zhang, Y.
Venue
Frontiers in Pharmacology
Published
2017-01-18
Volume
8
Pages
1-1
ISSN
1663-9812 (ISSN-L)
OpenAlex
W2584176612
Cited by
656
References
128
FWCI
39.21
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Nanomaterials in Targeting Cancer Stem Cells for Cancer Therapy. https://app.cochat.ai/papers/10.3389/fphar.2017.00001
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Qin, W., Huang, G., Chen, Z., & Zhang, Y. (2017). Nanomaterials in Targeting Cancer Stem Cells for Cancer Therapy. Frontiers in Pharmacology. https://doi.org/10.3389/fphar.2017.00001

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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.