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. Author manuscript; available in PMC: 2015 Jan 30.
Published in final edited form as: Cell. 2014 Jan 30;156(3):603–616. doi: 10.1016/j.cell.2013.12.029

Figure 5. Growth Rate and Dynamic Dedifferentiation Are the Most Influential Parameters in Modeling Radiation Response.

Figure 5

(A) Survival-fit, model-predicted tumor growth in response to various radiation treatment schedules. These predictions are from the time-dependent model reparameterized to fit the mouse survival data with the parameters under “Final Iteration” in Table 1.

(B) Table summarizing the number of mice treated, the performance relative to standard therapy, and the predicted performance survival data reparameterized time-dependent model for each treatment group.

(C) Sensitivity analysis of the model's parameters, ranked from most to least sensitive, as determined by the sensitivity analysis (Supplemental Information).

(D) Predictions of the SLRC/DSC ratio while varying the fraction of cells capable of reversion (γo).

(E) Sensitivity plot showing the relative efficacy of several schedules while varying the fraction of cells capable of reversion (γo). An explanation of how we found the parameters for (E) can be found in Section 5 of the Supplemental Information.

See also Figure S4.