Abstract—In this work, an optimal framework for tumor radiotherapy is investigated based on Kinetic Theory of Active Particle (KTAP) and Gene-Environment Network (GEN) model. The inner mechanism and the dynamic kinetics of radiotherapy are presented through complicated mutual interactions among molecular particles and acute Ion Radiation (IR) cofactors, including stochastic DNA damage generation, repair, and switch-like Ataxia Telangiectasia Mutated (ATM) activation, periodical oscillation of P53 network, as well as alternative phase of cell cycle arrest and apoptosis. The simulations can illustrate the outcomes of radiotherapy under different IR circumstances, including tumor cell mass degradation, toxin accumulation, and cell activity during the first and second phase of radiotherapy. Especially, an optimal strategy of radiotherapy is analyzed under different strength of IR circumstances.

Index Terms—Radiotherapy, optimal strategy, modeling, kinetic theory of active particle, gene-environment network.

The authors are with College of Information Science and Technology, Donghua University, Shanghai, China (email: supergu0925@163.com).

Cite: Jinpeng Qi, Quan Gu, Tao Han, "A Hybrid Model for Tumor Radiotherapy Based on Kinetic Theory and Gene-Environment Network," International Journal of Bioscience, Biochemistry and Bioinformatics vol. 7, no. 1, pp. 51-57, 2017.