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Stochastic responses of tumor—immune system with periodic treatment |
Dong-Xi Li(李东喜)1, Ying Li(李颖)2 |
1 College of Data Science, Taiyuan University of Technology, Taiyuan 030024, China; 2 College of Mathematics, Taiyuan University of Technology, Taiyuan 030024, China |
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Abstract We investigate the stochastic responses of a tumor-immune system competition model with environmental noise and periodic treatment. Firstly, a mathematical model describing the interaction between tumor cells and immune system under external fluctuations and periodic treatment is established based on the stochastic differential equation. Then, sufficient conditions for extinction and persistence of the tumor cells are derived by constructing Lyapunov functions and Ito's formula. Finally, numerical simulations are introduced to illustrate and verify the results. The results of this work provide the theoretical basis for designing more effective and precise therapeutic strategies to eliminate cancer cells, especially for combining the immunotherapy and the traditional tools.
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Received: 26 February 2017
Revised: 09 May 2017
Accepted manuscript online:
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PACS:
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02.50.-r
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(Probability theory, stochastic processes, and statistics)
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05.40.-a
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(Fluctuation phenomena, random processes, noise, and Brownian motion)
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Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 11402157 and 11571009), Shanxi Scholarship Council of China (Grant No. 2015-032), Technological Innovation Programs of Higher Education Institutions in Shanxi, China (Grant No. 2015121), and Applied Basic Research Programs of Shanxi Province, China (Grant No. 2016021013). |
Corresponding Authors:
Dong-Xi Li
E-mail: dxli0426@126.com
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Cite this article:
Dong-Xi Li(李东喜), Ying Li(李颖) Stochastic responses of tumor—immune system with periodic treatment 2017 Chin. Phys. B 26 090203
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[1] |
Parish C R 2003 Immunol. Cell. Biol 81 106
|
[2] |
Smyth M J, Godfrey D I and Trapani J A 2001 Nat. Immunol. 2 293
|
[3] |
Rosenberg S A, Spiess P and Lafreniere R 1986 Science 233 1318
|
[4] |
Kuznetsoz V A, Makalkin I A, Taylor M A and Perelson A S 1994 Bull. Math. Biol 56 295
|
[5] |
Kirschner D and Panetta J C 1998 J. Math. Biol 37 235
|
[6] |
Wang K K and Liu X B 2013 Chin. Phys. Lett 30 070504
|
[7] |
Yang Y G, Xu W, Sun Y H and Gu X D 2016 Chin. Phys. B 25 020201
|
[8] |
Zhong W R, Shao Y Z and He Z H 2006 Phys. Rev. E 73 060902
|
[9] |
Albano G and Giorno V 2006 J. Theor Biol 242 329
|
[10] |
Lenbury Y, Triampo Wannapong, Tang I M and Picha P 2006 J. Korean. Phys. Soc 49 1652
|
[11] |
Ferrante L, Bompadre S, Possati L and Leone L 2000 Biometrics 56 1076
|
[12] |
Thibodeaux J J and Schlittenhardt T P 2011 Bull. Math. Biol. 73 2791
|
[13] |
Sotolongo-Costam O, Molina L M, Perez D R, Antranz J C and Reys M C 2003 Physica D 178 242
|
[14] |
Ideta A M, Tanaka G, Takeuchi T and Aihara K 2008 J. Nonlinear Sci. 18 593
|
[15] |
Li D X, Xu W, Guo Y and Xu Y 2011 Phys. Lett. A 375 886
|
[16] |
Aisu R and Horita T 2012 Nonlinear Theory and Its Applications, IEICE 3 191
|
[17] |
Galach M 2003 Int. J. Appl. Math. Comput. Sci. 13 395
|
[18] |
Fiasconaro A, Spagnolo B, Ochabmarcinek A and Gudowskanowak E 2006 Phys. Rev. E 74 041904
|
[19] |
Fiasconaro A, Ochab-Marcinek A, Spagnolo B and Gudowska-Nowak E 2008 Eur. Phys. J. B 65 435
|
[20] |
Liu M and Wang K 2011 J. Math. Anal. Appl. 375 443
|
[21] |
Mao X, Marion G and Renshaw E 2002 Stoch. Proc. Appl. 97 95
|
[22] |
Zhao Y, Jiang D and O'Regan D 2013 Physica A 392 4916
|
[23] |
Evans L C 2013 An Introduction to Stochastic Differential Equations (New York: Amer Mathematical Society) pp.77-79
|
[24] |
Mao X 1997 Stochastic Differential Equations and Applications (Chichester: Horwood) pp.31-84
|
[25] |
Higham D J 2001 SIAM Rev. 43 525
|
[26] |
Liu M and Bai C 2016 Appl. Math. Comput. 284 308
|
[27] |
Liu M and Bai C 2016 Appl. Math. Comput. 276 301
|
[28] |
Jin Y F and Xie W X 2015 Chin. Phys. B 24 110501
|
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