Modeling the cancer patient with genetically engineered mice: prediction of toxicity from molecule-targeted therapies

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.