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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 2. Mathematical Modeling of the Radiation Response Improves Survival in a Mouse Model of Proneural Glioma.

Figure 2

(A) Original model-predicted tumor response and growth following standard, single-dose, optimum-1, and scramble control radiation treatment schedules. Model parameters are listed under “Original Parameters” in Table 1.

(B) Kaplan-Meier survival plot of various radiation schedules. IR, ionizing radiation.

(C) Schematic depicting the various schedules tested. The arrow position represents the time of dose during the 8am–5pm treatment window. The size of the arrow correlates with the size of the dose.

(D) Table summarizing number of mice treated, the performance relative to standard therapy, and the original model-predicted performance of each group. ns, not significant.

(E) Hazard ratios of the various radiation schedules, compared to the standard radiation schedule. Error bars represent the 95% confidence interval (CI) of the hazard ratio (HR).

See also Figure S2.