Simple biophysical model of tumor evasion from immune system control

被引:21
作者
d'Onofrio, Alberto [1 ]
Ciancio, Armando [2 ]
机构
[1] European Inst Oncol, Dept Expt Oncol, I-20141 Milan, Italy
[2] Univ Messina, Dept Math, I-98166 Messina, Italy
来源
PHYSICAL REVIEW E | 2011年 / 84卷 / 03期
关键词
COMPLEX MULTICELLULAR SYSTEMS; MATHEMATICAL-ANALYSIS; NONLINEAR DYNAMICS; CANCER; IMMUNOTHERAPY; COMPETITION; GAME; SURVEILLANCE; ADAPTATION;
D O I
10.1103/PhysRevE.84.031910
中图分类号
O35 [流体力学]; O53 [等离子体物理学];
学科分类号
070204 ; 080103 ; 080704 ;
摘要
The competitive nonlinear interplay between a tumor and the host's immune system is not only very complex but is also time-changing. A fundamental aspect of this issue is the ability of the tumor to slowly carry out processes that gradually allow it to become less harmed and less susceptible to recognition by the immune system effectors. Here we propose a simple epigenetic escape mechanism that adaptively depends on the interactions per time unit between cells of the two systems. From a biological point of view, our model is based on the concept that a tumor cell that has survived an encounter with a cytotoxic T-lymphocyte (CTL) has an information gain that it transmits to the other cells of the neoplasm. The consequence of this information increase is a decrease in both the probabilities of being killed and of being recognized by a CTL. We show that the mathematical model of this mechanism is formally equal to an evolutionary imitation game dynamics. Numerical simulations of transitory phases complement the theoretical analysis. Implications of the interplay between the above mechanisms and the delivery of immunotherapies are also illustrated.
引用
收藏
页数:8
相关论文
共 47 条
[1]   The evolution of predator-prey interactions: Theory and evidence [J].
Abrams, PA .
ANNUAL REVIEW OF ECOLOGY AND SYSTEMATICS, 2000, 31 :79-105
[2]   On complex adaptive systems and terrorism [J].
Ahmed, E ;
Elgazzar, AS ;
Hegazi, AS .
PHYSICS LETTERS A, 2005, 337 (1-2) :127-129
[3]  
[Anonymous], 1909, Ned. Tijdschr. Geneeskd.
[4]  
Arciero JC, 2004, DISCRETE CONT DYN-B, V4, P39
[5]   Evolution of cooperation among tumor cells [J].
Axelrod, Robert ;
Axelrod, David E. ;
Pienta, Kenneth J. .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2006, 103 (36) :13474-13479
[6]   Studying the emergence of invasiveness in tumours using game theory [J].
Basanta, D. ;
Hatzikirou, H. ;
Deutsch, A. .
EUROPEAN PHYSICAL JOURNAL B, 2008, 63 (03) :393-397
[7]   Mathematical topics on the modelling complex multicellular systems and tumor immune cells competition [J].
Bellomo, N ;
Bellouquid, A ;
Delitala, M .
MATHEMATICAL MODELS & METHODS IN APPLIED SCIENCES, 2004, 14 (11) :1683-1733
[8]   Modeling the hiding-learning dynamics in large living systems [J].
Bellomo, N. .
APPLIED MATHEMATICS LETTERS, 2010, 23 (08) :907-911
[9]   From the mathematical kinetic, and stochastic game theory to modelling mutations, onset, progression and immune competition of cancer cells [J].
Bellomo, N. ;
Delitala, M. .
PHYSICS OF LIFE REVIEWS, 2008, 5 (04) :183-206
[10]   Complex multicellular systems and immune competition: New paradigms looking for a mathematical theory [J].
Bellomo, Nicola ;
Forni, Guido .
MULTISCALE MODELING OF DEVELOPMENTAL SYSTEMS, 2008, 81 :485-502