Modeling cancer patient populations in mice: complex genetic and environmental factors. Academic Article

abstract

• Genetic differences among individuals contribute to differential susceptibility to cancer and, undoubtedly, to variable efficacy and toxicity of pharmacological-based therapeutics. Many of the specific molecular processes involved in human tumorigenesis have been elucidated and accurately modeled in mice. However, the current models used for drug testing do not accurately predict how new treatments will fare in clinical trials. More sophisticated models that treat cancer as a complex disease present within heterogenous patient populations will provide better predictive power to identify patients that may benefit from specific therapies or that may develop potential drug-induced toxicities.

authors

• Threadgill, David

published proceedings

• Drug Discov Today Dis Models

author list (cited authors)

• Radiloff, D. R., Rinella, E. S., & Threadgill, D. W.

citation count

• 15

complete list of authors

• Radiloff, Daniel R||Rinella, Erica S||Threadgill, David W

publication date

• January 2008

publisher

• Elsevier  Publisher

published in

• Drug Discovery Today: Disease Models  Journal

keywords

• 2 Aetiology
• 2.1 Biological And Endogenous Factors
• 3 Good Health And Well Being
• 32 Biomedical And Clinical Sciences
• 3211 Oncology And Carcinogenesis
• 3214 Pharmacology And Pharmaceutical Sciences
• 5 Development Of Treatments And Therapeutic Interventions
• 5.1 Pharmaceuticals
• Cancer
• Genetics
• Patient Safety

PubMed Central ID

• 19122874

Digital Object Identifier (DOI)

• 10.1016/j.ddmod.2007.06.004

start page

• 83

end page

• 88

volume

• 4

issue

• 2

URL

• http://dx.doi.org/10.1016/j.ddmod.2007.06.004

user-defined tag

• 3 Good Health and Well-Being