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Cited by 203

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Statins and breast cancer prognosis: evidence and opportunities

Open access
Ahern, Thomas P, Lash, Timothy L, Damkier, Per, Christiansen, Peer M, Cronin-Fenton, Deirdre P·2014·The Lancet Oncology

Abstract

SUMMARY Much preclinical and epidemiologic evidence supports anticancer effects of HMG-CoA reductase inhibitors (statins). Epidemiologic evidence does not support an association between statin use and reduced breast cancer incidence, but does support a protective effect of statins—particularly simvastatin—on breast cancer prognosis. We argue that the current evidence base is sufficient to justify a clinical trial of breast cancer adjuvant therapy with statins. We advocate for such a trial to be initiated without delay. If a protective effect of statins on breast cancer recurrence is supported by trial evidence, then the indications for a safe, well-tolerated, and in expensive treatment can be expanded to improve outcomes for breast cancer survivors. We discuss several design opportunities—including candidate predictive biomarkers of statin safety and efficacy—and offer solutions to key challenges to enrolment, follow-up, and analysis of such a trial.

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Metadata

Authors
Ahern, T. P., Lash, T. L., Damkier, P., Christiansen, P. M., & Cronin-Fenton, D. P.
Venue
The Lancet Oncology
Publisher
Elsevier BV
Published
2014-09
Volume
15
Issue
10
Pages
e461-e468
ISSN
1470-2045 (ISSN-L)
OpenAlex
W2126720685
Cited by
203
References
12
FWCI
4.86
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Statins and breast cancer prognosis: evidence and opportunities. https://app.cochat.ai/papers/10.1016/s1470-2045(14)70119-6
The paper
Ahern, T. P., Lash, T. L., Damkier, P., Christiansen, P. M., & Cronin-Fenton, D. P. (2014). Statins and breast cancer prognosis: evidence and opportunities. The Lancet Oncology. https://doi.org/10.1016/s1470-2045(14)70119-6

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.