کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5760461 1623992 2017 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Inactivation of tumor suppressor genes and cancer therapy: An evolutionary game theory approach
ترجمه فارسی عنوان
غیر فعال کردن ژن های سرکوب کننده تومور و درمان سرطان: یک روش تئوری بازی تئوری
کلمات کلیدی
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک علوم کشاورزی و بیولوژیک (عمومی)
چکیده انگلیسی


- The evolution of healthy, one and two missed allele cells is modeled using the concept of evolutionary game theory and replicator dynamics.
- The proposed model also takes into account the interaction rate of the cells as designing parameter of the system.
- Different combinations of the equilibrium points of the parameterized nonlinear system is studied and categorized to some cases.
- In each case, the values of interaction rate are suggested in a way that the equilibrium points of the replicator dynamics are located in the desired region of the state space.
- The system will converge to the desirable region, where there are scanty level of cancerous cells.

Inactivation of alleles in tumor suppressor genes (TSG) is one of the important issues resulting in evolution of cancerous cells. In this paper, the evolution of healthy, one and two missed allele cells is modeled using the concept of evolutionary game theory and replicator dynamics. The proposed model also takes into account the interaction rates of the cells as designing parameters of the system. Different combinations of the equilibrium points of the parameterized nonlinear system is studied and categorized into some cases. In each case, the interaction rates' values are suggested in a way that the equilibrium points of the replicator dynamics are located on an appropriate region of the state space. Based on the suggested interaction rates, it is proved that the system doesn't have any undesirable interior equilibrium point as well. Therefore, the system will converge to the desirable region, where there is a scanty level of cancerous cells. In addition, the proposed conditions for interaction rates guarantee that, when a trajectory of the system reaches the boundaries, then it will stay there forever which is a desirable property since the equilibrium points have been already located on the boundaries, appropriately. The simulation results show the effectiveness of the suggestions in the elimination of the cancerous cells in different scenarios.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Mathematical Biosciences - Volume 288, June 2017, Pages 84-93
نویسندگان
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