Supplementary Material, Tables S1-S2 and Figures S1-S7 from Emergence of Drug Tolerance in Cancer Cell Populations: An Evolutionary Outcome of Selection, Nongenetic Instability, and Stress-Induced Adaptation

Abstract

<p>Supplementary Material, Tables S1-S2, and Figures S1-S7. Table S1. Biological considerations relating to stress-induced adaptation of cell proliferation levels with the corresponding mathematical assumptions. Table S2. Biological considerations relating to selection with the corresponding mathematical assumptions. Figure S1. Algorithm of the individual-based model and extended individual-based model with stem-like DTPs. Figure S2. The effect of the rate of genetic mutations on the trajectories of the mean phenotypic expression and the corresponding global population density as a function of time. Figure S3. The effect of the rate of phenotypic fluctuations on the trajectory of the population mean trait levels and the corresponding global population density, as a function of time, for high and low doses of cytotoxic drugs. Figure S4. The effect of the sensitivity to stress-inducing agents on the trajectory of the population mean trait levels and the corresponding global population density, as a function of time, for high and low doses of cytotoxic drugs. Figure S5. Trajectories of the phenotypic expression of six individual cells, the mean phenotypic expression of the cell population and the corresponding global population density, as a function of time. Cell distribution over the survival and proliferation potentials in the absence of drug treatment. Figure S6. Trajectories of the mean phenotypic expression, and the corresponding global population density, as a function of time, during and after drug treatment reveal the drug resensitization of DTPs and DTEPs. Figure S7. The effect of the DTP self-renewal probability on the trajectories of the mean phenotypic expression and the corresponding number of PC9s, DTPs and DTEPs as a function of time, for various drug doses.</p>