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Nat Rev Cancer. 2016 Mar;16(3):187-96. doi: 10.1038/nrc.2016.1. Epub 2016 Feb 19.

Optimizing mouse models for precision cancer prevention.

Author information

1
Department of Urology, Columbia University Medical Center, New York, New York 10032, USA.
2
Departments of Urology, Medicine, Systems Biology, Pathology and Cell Biology, and the Institute of Cancer Genetics, Herbert Irving Comprehensive Cancer Center, Columbia University Medical Center, New York, New York 10032, USA.

Abstract

As cancer has become increasingly prevalent, cancer prevention research has evolved towards placing a greater emphasis on reducing cancer deaths and minimizing the adverse consequences of having cancer. 'Precision cancer prevention' takes into account the collaboration of intrinsic and extrinsic factors in influencing cancer incidence and aggressiveness in the context of the individual, as well as recognizing that such knowledge can improve early detection and enable more accurate discrimination of cancerous lesions. However, mouse models, and particularly genetically engineered mouse (GEM) models, have yet to be fully integrated into prevention research. In this Opinion article, we discuss opportunities and challenges for precision mouse modelling, including the essential criteria of mouse models for prevention research, representative success stories and opportunities for more refined analyses in future studies.

PMID:
26893066
PMCID:
PMC5517771
DOI:
10.1038/nrc.2016.1
[Indexed for MEDLINE]
Free PMC Article

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