title: Optimizing mouse models for precision cancer prevention.
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.
authors.affiliation: Department of Urology, Columbia University Medical Center, New York, New York 10032, USA.
authors.forename: Clémentine
authors.initials: C
authors.lastname: Le Magnen
authors.affiliation: Department of Urology, Columbia University Medical Center, New York, New York 10032, USA.
authors.forename: Aditya
authors.initials: A
authors.lastname: Dutta
authors.affiliation: 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.
authors.forename: Cory
authors.initials: C
authors.lastname: Abate-Shen
mesh_terms: D000818:Animals; D004195:Disease Models, Animal; D006801:Humans; D051379:Mice; D009369:Neoplasms / Q000209:etiology / Q000473:pathology / Q000517:prevention & control*; D057285:Precision Medicine