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Computational models

Mathematical model of dynamic radiation response in glioma cells predicts schedule to improve radiation therapy

Mouse studies suggest a mathematical model can improve radiation schedules for treating cancer. The model considers radiation-resistant and radiation-sensitive cells, allows time-dependent, bidirectional flow between these states and is based on a linear quadratic formula. In a mouse model of platelet-derived growth factor-driven glioma, the optimized radiation schedule increased survival compared with a standard schedule. Next steps include testing the scheduling predictions in a clinical trial and extending the analysis to additional cancer types.

SciBX 7(6); doi:10.1038/scibx.2014.181
Published online Feb. 13, 2014

Unpatented; unlicensed

Leder, K. et al. Cell; published online
Jan. 30, 2014;
doi:10.1016/j.cell.2013.12.029
Contact: Franziska Michor, Dana-Farber Cancer Institute, Boston, Mass.
e-mail:
michor@jimmy.harvard.edu
Contact: Eric C. Holland, Fred Hutchinson Cancer Research Center, Seattle, Wash.
e-mail:
eholland@fhcrc.org