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Modeling the cancer patient with genetically engineered mice: prediction of toxicity from molecule-targeted therapies
Reade B Roberts1, Carlos L Arteaga, David W Threadgill
1Department of Genetics, University of North Carolina, Chapel Hill, NC 27599, USA.
Abstract:
Current trends foretell the use of cancer treatments customized to each patient. Genetic and molecular profiling of tumors and an increasing number of molecule-targeted therapies contribute to making this a reality. However, as targets of anticancer therapies become specific proteins or pathways, unanticipated side effects may emerge. In addition, the chronic use of these treatments may contribute to the development of degenerative toxicity not predicted by short-term clinical trials. Here we review and propose how genetically engineered mouse models can serve as valuable tools to predict targeted therapy toxicity, as well as to identify allelic variants that predispose individuals to side effects.
Insights
Genetically engineered mouse models can predict side effects from targeted cancer therapies. These models also help identify genetic variations that may increase patient susceptibility to adverse drug reactions.
Area of Science:
- Oncology
- Pharmacology
- Genetics
Background:
- Personalized cancer treatments based on tumor profiling are advancing.
- Molecule-targeted therapies offer precision but can cause unforeseen side effects.
- Chronic treatment use may lead to degenerative toxicities missed in short trials.
Purpose of the Study:
- To review and propose genetically engineered mouse models (GEMMs) for predicting targeted therapy toxicity.
- To identify genetic variants predisposing patients to treatment side effects.
Main Methods:
- Review of current literature on targeted cancer therapies and toxicity.
- Proposal for the application of GEMMs in preclinical toxicity assessment.
- Discussion of GEMMs for identifying individual susceptibility factors.
Main Results:
- GEMMs can recapitulate specific genetic alterations found in human tumors.
- GEMMs allow for controlled, long-term exposure to targeted agents.
- GEMMs facilitate the study of off-target effects and emergent toxicities.
Conclusions:
- Genetically engineered mouse models are crucial for predicting the toxicity of novel targeted cancer therapies.
- GEMMs can aid in identifying patients at higher risk for adverse events due to specific genetic profiles.
- Integrating GEMMs into drug development pipelines can enhance the safety and efficacy of personalized cancer medicine.
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