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Cited by 1,790

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Advances in Copper Complexes as Anticancer Agents

Santini, Carlo, Pellei, Maura, Gandin, Valentina, Porchia, Marina, Tisato, Francesco, Marzano, Cristina·2014·Chemical Reviews

Abstract

Copper is a transition metal that can exist in oxidized (Cu(II)) and reduced (Cu(I)) states. This allows it to participate in redox and catalytic chemistry, making it a suitable cofactor for a diverse range of enzymes and molecules. Copper complexes have been investigated for their therapeutic or diagnostic potential showing effectiveness in cancer treatment due to their cytotoxic action on tumour cells. In this review, the most remarkable achievements in the design and development of copper(I, II) complexes as antitumor agents are discussed. Special emphasis has been focused on the identification of structure-activity relationships for the different classes of complexes. Up to now, despite the enormous efforts in synthesizing different classes of copper complexes, very few data concerning the molecular basis of the mechanisms underlying their antitumor activity are available. The current overview, collecting the most significant strategies adopted in the last four years to design promising anticancer copper(I,II) compounds, aims to provide a useful reference for researchers working in this field.

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Metadata

Authors
Santini, C., Pellei, M., Gandin, V., Porchia, M., Tisato, F., & Marzano, C.
Venue
Chemical Reviews
Published
2013-10-08
Volume
114
Issue
1
Pages
815-862
ISSN
  • 0009-2665 (ISSN-L)
  • 1520-6890
OpenAlex
W1984883623
Cited by
1,790
References
2
FWCI
9.77
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Advances in Copper Complexes as Anticancer Agents. https://app.cochat.ai/papers/10.1021/cr400135x
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Santini, C., Pellei, M., Gandin, V., Porchia, M., Tisato, F., & Marzano, C. (2014). Advances in Copper Complexes as Anticancer Agents. Chemical Reviews. https://doi.org/10.1021/cr400135x

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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.