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Cited by 353

The DOI matches its Crossref record; 104 of the 104 references it cites were found in a registry or an index.

Application of Nanotechnology in Cancer Diagnosis and Therapy - A Mini-Review

Open access
Jin, Cancan, Wang, Kankai, Oppong-Gyebi, Anthony, Hu, Jiangnan·2020·International Journal of Medical Sciences

Abstract

Cancer is a leading cause of death and poor quality of life globally. Even though several strategies are devised to reduce deaths, reduce chronic pain and improve the quality of life, there remains a shortfall in the adequacies of these cancer therapies. Among the cardinal steps towards ensuring optimal cancer treatment are early detection of cancer cells and drug application with high specificity to reduce toxicities. Due to increased systemic toxicities and refractoriness with conventional cancer diagnostic and therapeutic tools, other strategies including nanotechnology are being employed to improve diagnosis and mitigate disease severity. Over the years, immunotherapeutic agents based on nanotechnology have been used for several cancer types to reduce the invasiveness of cancerous cells while sparing healthy cells at the target site. Nanomaterials including carbon nanotubes, polymeric micelles and liposomes have been used in cancer drug design where they have shown considerable pharmacokinetic and pharmacodynamic benefits in cancer diagnosis and treatment. In this review, we outline the commonly used nanomaterials which are employed in cancer diagnosis and therapy. We have highlighted the suitability of these nanomaterials for cancer management based on their physicochemical and biological properties. We further reviewed the challenges that are associated with the various nanomaterials which limit their uses and hamper their translatability into the clinical setting in certain cancer types.

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Crossref · 10.7150/ijms.49801

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Metadata

Authors
Jin, C., Wang, K., Oppong-Gyebi, A., & Hu, J.
Venue
International Journal of Medical Sciences
Published
2020
Volume
17
Issue
18
Pages
2964-2973
ISSN
1449-1907 (ISSN-L)
OpenAlex
W3095000040
Cited by
353
References
104
FWCI
2.21
Type
journal article
Language
en
Open access
gold

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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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