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Cited by 355

The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.

Metformin in cancer: translational challenges

Open access
Dowling, Ryan J O, Niraula, Saroj, Stambolic, Vuk, Goodwin, Pamela J·2012·Journal of Molecular Endocrinology

Abstract

The anti-diabetic drug metformin is rapidly emerging as a potential anti-cancer agent. Metformin, effective in treating type 2 diabetes and the insulin resistance syndromes, improves insulin resistance by reducing hepatic gluconeogenesis and by enhancing glucose uptake by skeletal muscle. Epidemiological studies have consistently associated metformin use with decreased cancer incidence and cancer-related mortality. Furthermore, numerous preclinical and clinical studies have demonstrated anti-cancer effects of metformin, leading to an explosion of interest in evaluating this agent in human cancer. The effects of metformin on circulating insulin levels indicate a potential efficacy towards cancers associated with hyperinsulinaemia; however, metformin may also directly inhibit tumour growth. In this review, we describe the mechanism of action of metformin and summarise the epidemiological, clinical and preclinical evidence supporting a role for metformin in the treatment of cancer. In addition, the challenges associated with translating preclinical results into therapeutic benefit in the clinical setting will be discussed.

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Metadata

Authors
Dowling, R. J. O., Niraula, S., Stambolic, V., & Goodwin, P. J.
Venue
Journal of Molecular Endocrinology
Published
2012-02-20
Volume
48
Issue
3
Pages
R31-R43
ISSN
  • 0952-5041 (ISSN-L)
  • 1479-6813
OpenAlex
W2140164776
Cited by
355
References
99
FWCI
14.17
Type
journal article
Language
en
Open access
bronze

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CoChat. (2026). Citation check: Metformin in cancer: translational challenges. https://app.cochat.ai/papers/10.1530/jme-12-0007
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Dowling, R. J. O., Niraula, S., Stambolic, V., & Goodwin, P. J. (2012). Metformin in cancer: translational challenges. Journal of Molecular Endocrinology. https://doi.org/10.1530/jme-12-0007

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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.