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The growth dynamics of tumor subject to both immune surveillance and external therapy intervention

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【Author】 SHAO YuanZhi1, ZHONG WeiRong1, WANG FengHua2, HE ZhenHui1 & XIA ZhongJun2 1 State Key Laboratory of Optoelectronic Materials and Technologies, School of Physics and Engineering, Sun Yat-sen University, Guangzhou 510275, China; 2 South-China State Key Laboratory for Oncology, Cancer Center of Sun Yat-Sen University, Guangzhou 510006, China

【摘要】 Considering the growth of tumor cells modeled by an enzyme dynamic process under an immune surveillance, we studied in anti-tumor immunotherapy the single-variable growth dynamics of tumor cells subject to a multiplicative noise and an external therapy intervention simultaneously. The law of tumor growth of the above anti-tumor immunotherapy model was revealed through numerical simula- tions to the relevant stochastic dynamic differential equation. Two simulative parameters of therapy, i.e., therapy intensity and therapy duty-cycle, were introduced to characterize a treatment process similar to a tumor clinic therapy. There exists a critical therapy boundary which, in an expo- nent-decaying form, divides the parameter region of therapy into an invalid and a valid treatment zone, respectively. A greater critical therapy duty-cycle is necessary to achieve a valid treatment for a lower therapy intensity while the critical therapy intensity decreases accordingly with an enhancing immunity. A primary clinic observation of the patients with the typical non-hodgekin’s lymphoma was carried out, and there appears a basic agreement between clinic observations and dynamic simulations.

【Abstract】 Considering the growth of tumor cells modeled by an enzyme dynamic process under an immune surveillance, we studied in anti-tumor immunotherapy the single-variable growth dynamics of tumor cells subject to a multiplicative noise and an external therapy intervention simultaneously. The law of tumor growth of the above anti-tumor immunotherapy model was revealed through numerical simula- tions to the relevant stochastic dynamic differential equation. Two simulative parameters of therapy, i.e., therapy intensity and therapy duty-cycle, were introduced to characterize a treatment process similar to a tumor clinic therapy. There exists a critical therapy boundary which, in an expo- nent-decaying form, divides the parameter region of therapy into an invalid and a valid treatment zone, respectively. A greater critical therapy duty-cycle is necessary to achieve a valid treatment for a lower therapy intensity while the critical therapy intensity decreases accordingly with an enhancing immunity. A primary clinic observation of the patients with the typical non-hodgekin’s lymphoma was carried out, and there appears a basic agreement between clinic observations and dynamic simulations.

【关键词】 logistic modelgrowth dynamicsnoiseimmunitytumor
【Key words】 logistic modelgrowth dynamicsnoiseimmunitytumor
【基金】 Supported by the National Natural Science Foundation of China (Grant No. 60471023)
  • 【文献出处】 Chinese Science Bulletin ,科学通报(英文版) , 编辑部邮箱 ,2007年12期
  • 【分类号】R730.5
  • 【被引频次】1
  • 【下载频次】33
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