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Cited by 288

The DOI matches its Crossref record; 38 of the 38 references it cites were found in a registry or an index.

Enhancing Tumor-Specific Uptake of the Anticancer Drug Cisplatin with a Copper Chelator

Open access
Ishida, Seiko, McCormick, Frank, Smith-McCune, Karen, Hanahan, Douglas·2010·Cancer Cell

Abstract

SUMMARY Uptake of the anticancer drug cisplatin is mediated by the copper transporter Ctr1 in cultured cells. Here we show in human ovarian tumors that low levels of Ctr1 mRNA are associated with poor clinical response to platinum-based therapy. Using a mouse model of human cervical cancer, we demonstrate that combined treatment with a copper chelator and cisplatin increases cisplatin-DNA adduct levels in cancerous but not in normal tissues, impairs angiogenesis, and improves therapeutic efficacy. The copper chelator also enhances the killing of cultured human cervical and ovarian cancer cells with cisplatin. Our results identify the copper transporter as a therapeutic target, which can be manipulated with copper chelating drugs to selectively enhance the benefits of platinum-containing chemotherapeutic agents.

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Crossref · 10.1016/j.ccr.2010.04.011

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Metadata

Authors
Ishida, S., McCormick, F., Smith-McCune, K., & Hanahan, D.
Venue
Cancer Cell
Publisher
Elsevier BV
Published
2010-06
Volume
17
Issue
6
Pages
574-583
ISSN
1535-6108 (ISSN-L)
OpenAlex
W2016203478
Cited by
288
References
38
FWCI
7.84
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Enhancing Tumor-Specific Uptake of the Anticancer Drug Cisplatin with a Copper Chelator. https://app.cochat.ai/papers/10.1016/j.ccr.2010.04.011
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Ishida, S., McCormick, F., Smith-McCune, K., & Hanahan, D. (2010). Enhancing Tumor-Specific Uptake of the Anticancer Drug Cisplatin with a Copper Chelator. Cancer Cell. https://doi.org/10.1016/j.ccr.2010.04.011

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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.