Abstract
Anticancer agents often have a narrow therapeutic index (TI), requiring precise dosing to ensure sufficient exposure for clinical activity while minimizing toxicity. These agents frequently have complex pharmacology, and combination therapy may cause schedule-specific effects and interactions. We review anticancer drug development, showing how integration of modeling and simulation throughout development can inform anticancer dose selection, potentially improving the late-phase success rate. This article has a companion article in Clinical Pharmacology & Therapeutics with practical examples.
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CITATION STYLE
Mould, D. R., Walz, A. C., Lave, T., Gibbs, J. P., & Frame, B. (2015, January 1). Developing exposure/response models for anticancer drug treatment: Special considerations. CPT: Pharmacometrics and Systems Pharmacology. Nature Publishing Group. https://doi.org/10.1002/psp4.16
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