Abstract
This chapter discusses the basic evolutionary dynamics of cells that are resistant to small molecule inhibitors in the context of an exponentially growing population of cells, as typically observed in the treatment of CML blast crisis. The basic principles of resistance emergence is discussed. Mathematical models clearly indicate that the pre-treatment tumor growth phase is crucial for the generation of resistant mutants, and that the treatment phase itself does not significantly contribute to the generation of resistant mutants. In this respect, the growth kinetics of the tumor plays an important role. Tumors characterized by a higher turnover of cells have a higher probability to harbor resistant cells at any given tumor size, compared to low-turnover tumors. These insights are then applied to calculate the probability that a tumor of a given size is simultaneously resistant to a number of \(m\) drugs that can be given in combination, based on the parameters of the system. These calculations suggest that in the absence of cross-resistance, a combination of three drugs can prevent resistance-induced treatment failure in CML blast crisis.
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Komarova, N.L., Wodarz, D. (2014). Evolutionary Dynamics of Drug Resistant Mutants in Targeted Treatment of CML. In: Targeted Cancer Treatment in Silico. Modeling and Simulation in Science, Engineering and Technology. Birkhäuser, New York, NY. https://doi.org/10.1007/978-1-4614-8301-4_5
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DOI: https://doi.org/10.1007/978-1-4614-8301-4_5
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