The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Carbon‐Based Nanomaterials for Cancer Therapy via Targeting Tumor Microenvironment
Abstract
Cancer remains one of the major health problems all over the world and conventional therapeutic approaches have failed to attain an effective cure. Tumor microenvironments (TME) present a unique challenge in tumor therapy due to their complex structures and multiple components, which also serve as the soil for tumor growth, development, invasion, and migration. The complex TME includes immune cells, fibrous collagen structures, and tortuous blood vessels, in which conventional therapeutic approaches are rendered useless. State‐of‐the‐art nanotechnologies have potential to cope with the threats of malignant tumors. With unique physiochemical properties, carbon nanomaterials (CNMs), including graphene, fullerenes, carbon nanotubes, and carbon quantum dots, offer opportunities to resolve the hurdles, by targeting not only cancer cells but also the TME. This review summarizes the progress about CNM‐based cancer therapy strategies, which mainly focuses on both the treatment for cancer cells and TME‐targeted modulation. In the last, the challenges for TME‐based therapy via CNMs are discussed, which will be important in guiding current basic research to clinical translation in the future.
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Nanocarbons for Biology and Medicine: Sensing, Imaging, and Drug Delivery
Panwar, N., Soehartono, A. M., Chan, K. K., Zeng, S., Xu, G., Qu, J., Coquet, P., Yong, K.-T., & Chen, X. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.9b00099 · Cited by 555
Phototherapy in cancer treatment: strategies and challenges
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Smart Nanomaterials in Cancer Theranostics: Challenges and Opportunities
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Metadata
- Authors
- Saleem, J., Wang, L., & Chen, C.
- Venue
- Advanced Healthcare Materials
- Publisher
- Wiley
- Published
- 2018-08-02
- Volume
- 7
- Issue
- 20
- Pages
- e1800525-e1800525
- ISSN
- 2192-2640 (ISSN-L)
- 2192-2659
- OpenAlex
- W2886630009
- Cited by
- 262
- References
- 9
- FWCI
- 8.68
- Type
- journal article
- Language
- en
- Open access
- closed
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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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