MATHEMATICAL TOPICS ON THE MODELLING COMPLEX MULTICELLULAR SYSTEMS AND TUMOR IMMUNE CELLS COMPETITION

This paper deals with a critical analysis and some developments related to the mathematical literature on multiscale modelling of multicellular systems involving tumor immune cells competition at the cellular level. The analysis is focused on the development of mathematical methods of the classical kinetic theory to model the above physical system and to recover macroscopic equation from the microscopic description. Various hints are given toward research perspectives, with special attention on the modelling of the interplay of microscopic (at the cellular level) biological and mechanical variables on the overall evolution of the system. Indeed the final aim of this paper consists of organizing the various contributions available in the literature into a mathematical framework suitable to generate a mathematical theory for complex biological systems.

[1]  B. Sleeman,et al.  Mathematical modeling of capillary formation and development in tumor angiogenesis: Penetration into the stroma , 2001, Bulletin of mathematical biology.

[2]  Paolo Ariano,et al.  In vitro analysis of neuron-glial cell interactions during cellular migration , 2002, European Biophysics Journal.

[3]  P. Jabin VARIOUS LEVELS OF MODELS FOR AEROSOLS , 2002 .

[4]  Jay D. Humphrey,et al.  A CONSTRAINED MIXTURE MODEL FOR GROWTH AND REMODELING OF SOFT TISSUES , 2002 .

[5]  G. Weisbuch,et al.  Immunology for physicists , 1997 .

[6]  Lobna Derbel,et al.  ANALYSIS OF A NEW MODEL FOR TUMOR-IMMUNE SYSTEM COMPETITION INCLUDING LONG-TIME SCALE EFFECTS , 2004 .

[7]  FROM THE NONLOCAL TO THE LOCAL DISCRETE DIFFUSIVE COAGULATION EQUATIONS , 2002 .

[8]  M. Pulvirenti,et al.  Modelling in Applied Sciences: A Kinetic Theory Approach , 2004 .

[9]  Addolorata Marasco,et al.  Bifurcation analysis for a mean field modelling of tumor and immune system competition , 2003 .

[10]  P. Delves,et al.  The Immune System , 2000 .

[11]  Markus R. Owen,et al.  MATHEMATICAL MODELLING OF MACROPHAGE DYNAMICS IN TUMOURS , 1999 .

[12]  Roger D Kamm,et al.  Cellular fluid mechanics. , 2003, Annual review of fluid mechanics.

[13]  L D Greller,et al.  Tumor heterogeneity and progression: conceptual foundations for modeling. , 1996, Invasion & metastasis.

[14]  Andreas Deutsch,et al.  Cellular Automaton Modeling of Biological Pattern Formation - Characterization, Applications, and Analysis , 2005, Modeling and simulation in science, engineering and technology.

[15]  L. Preziosi,et al.  ADVECTION-DIFFUSION MODELS FOR SOLID TUMOUR EVOLUTION IN VIVO AND RELATED FREE BOUNDARY PROBLEM , 2000 .

[16]  B. Perthame Mathematical tools for kinetic equations , 2004 .

[17]  Abdelghani Bellouquid ON THE ASYMPTOTIC ANALYSIS OF KINETIC MODELS TOWARDS THE COMPRESSIBLE EULER AND ACOUSTIC EQUATIONS , 2004 .

[18]  Abdelghani Bellouquid,et al.  A DIFFUSIVE LIMIT FOR NONLINEAR DISCRETE VELOCITY MODELS , 2003 .

[19]  Luigi Preziosi,et al.  Tumor/immune system competition with medically induced activation/deactivation , 1999 .

[20]  Nicola Bellomo,et al.  Strategies of applied mathematics towards an immuno-mathematical theory on tumors and immune system interactions , 1998 .

[21]  Luigi Preziosi,et al.  Multiscale modeling and mathematical problems related to tumor evolution and medical therapy. , 2003 .

[22]  Nicola Bellomo,et al.  Dynamics of tumor interaction with the host immune system , 1994 .

[23]  L. Papiez,et al.  A STOCHASTIC MODEL OF THE EVOLUTION DERIVED FROM ELASTIC VELOCITY PROCESS WITH MIXED DIFFUSION-JUMP CHARACTERISTICS , 2002 .

[24]  Nicola Bellomo,et al.  A Survey of Models for Tumor-Immune System Dynamics , 1996 .

[25]  EXISTENCE RESULTS FOR A BOUNDARY VALUE PROBLEM ARISING IN GROWING CELL POPULATIONS , 2003 .

[26]  A. Deutsch,et al.  Modeling of self-organized avascular tumor growth with a hybrid cellular automaton. , 2002, In silico biology.

[27]  Nicola Bellomo,et al.  Cancer Immune System Competition: Modeling and Bifurcation Problems, , 2003 .

[28]  Marcello Edoardo Delitala,et al.  Generalized kinetic theory approach to modeling spread- and evolution of epidemics , 2004 .

[29]  B. Perthame,et al.  STABILITY IN A NONLINEAR POPULATION MATURATION MODEL , 2002 .

[30]  M. Primicerio,et al.  DISCRETE AND CONTINUOUS COMPARTMENTAL MODELS OF CELLULAR POPULATIONS , 2002 .

[31]  P. Maini,et al.  Mathematical oncology: Cancer summed up , 2003, Nature.

[32]  Nicola Bellomo,et al.  Generalized Kinetic Models in Applied Sciences: Lecture Notes on Mathematical Problem , 2003 .

[33]  M. Chaplain Avascular growth, angiogenesis and vascular growth in solid tumours: The mathematical modelling of the stages of tumour development , 1996 .

[34]  C. Verdier,et al.  A physical model for studying adhesion between a living cell and a spherical functionalized substrate , 2003 .

[35]  J. Hopfield,et al.  From molecular to modular cell biology , 1999, Nature.

[36]  Mirosław Lachowicz,et al.  FROM MICROSCOPIC TO MACROSCOPIC DESCRIPTION FOR GENERALIZED KINETIC MODELS , 2002 .

[37]  B. Perthame,et al.  Derivation of hyperbolic models for chemosensitive movement , 2005, Journal of mathematical biology.

[38]  Luigi Preziosi,et al.  On a kinetic (cellular) theory for competition between tumors and the host immune system , 1996 .

[39]  E. Angelis,et al.  Qualitative analysis of a mean field model of tumor-immune system competition , 2003 .

[40]  E. Angelis,et al.  Mathematical models of therapeutical actions related to tumour and immune system competition , 2005 .

[41]  Nicola Bellomo,et al.  Generalized Kinetic Models , 2000 .

[42]  Serdal Pamuk,et al.  QUALITATIVE ANALYSIS OF A MATHEMATICAL MODEL FOR CAPILLARY FORMATION IN TUMOR ANGIOGENESIS , 2003 .

[43]  Mean-Field Approximation of Quantum Systems and Classical Limit , 2002, math-ph/0205033.

[44]  M. Lo Schiavo,et al.  The modelling of political dynamics by generalized kinetic (Boltzmann) models , 2003 .

[45]  Hans G. Othmer,et al.  The Diffusion Limit of Transport Equations Derived from Velocity-Jump Processes , 2000, SIAM J. Appl. Math..

[46]  Maria Letizia Bertotti,et al.  FROM DISCRETE KINETIC AND STOCHASTIC GAME THEORY TO MODELLING COMPLEX SYSTEMS IN APPLIED SCIENCES , 2004 .

[47]  Yanping Lin,et al.  On the $L^2$-moment closure of transport equations: The Cattaneo approximation , 2004 .

[48]  Mikhail Kolev,et al.  Mathematical modeling of the competition between acquired immunity and cancer , 2003 .

[49]  A. Bellouquid,et al.  Kinetic (cellular) models of cell progression and competition with the immune system , 2004 .

[50]  Benoît Perthame,et al.  PDE Models for Chemotactic Movements: Parabolic, Hyperbolic and Kinetic , 2004 .

[51]  B. Sleeman,et al.  Mathematical modeling of the onset of capillary formation initiating angiogenesis , 2001, Journal of mathematical biology.

[52]  Nicola Bellomo,et al.  BIFURCATION ANALYSIS FOR A NONLINEAR SYSTEM OF INTEGRO-DIFFERENTIAL EQUATIONS MODELLING TUMOR-IMMUNE CELLS COMPETITION , 1999 .

[53]  C. A. Condat,et al.  Modeling Cancer Growth , 2001 .

[54]  Nicola Bellomo,et al.  Generalized kinetic (Boltzmann) models: mathematical structures and applications , 2002 .

[55]  J. Folkman,et al.  Clinical translation of angiogenesis inhibitors , 2002, Nature Reviews Cancer.

[56]  Luca Mesin,et al.  Modeling of the immune response: conceptual frameworks and applications , 2001 .

[57]  Luisa Arlotti,et al.  A Kinetic Model of Tumor/Immune System Cellular Interactions , 2002 .

[58]  Luigi Preziosi,et al.  Modelling Tumor Progression, Heterogeneity, and Immune Competition , 2002 .

[59]  J A Sherratt,et al.  Pattern formation and spatiotemporal irregularity in a model for macrophage-tumour interactions. , 1997, Journal of theoretical biology.

[60]  John A. Adam,et al.  General Aspects of Modeling Tumor Growth and Immune Response , 1997 .

[61]  Nicola Bellomo,et al.  The modelling of the immune competition by generalized kinetic (Boltzmann) models: Review and research perspectives , 2003 .

[62]  Mark A. J. Chaplain,et al.  An explicit subparametric spectral element method of lines applied to a tumour angiogenesis system o , 2004 .

[63]  Raphael Aronson,et al.  Theory and application of the Boltzmann equation , 1976 .

[64]  M. Kolev Mathematical modelling of the competition between tumors and immune system considering the role of the antibodies , 2003 .

[65]  Nicola Bellomo,et al.  Modeling in Applied Sciences , 2000 .

[66]  T. Hillen HYPERBOLIC MODELS FOR CHEMOSENSITIVE MOVEMENT , 2002 .

[67]  T. Gobron,et al.  The competition-diffusion limit of a stochastic growth model , 2003 .

[68]  Mark A. J. Chaplain,et al.  COMPUTING HIGHLY ACCURATE SOLUTIONS OF A TUMOUR ANGIOGENESIS MODEL , 2003 .

[69]  C. Verdier Review Article: Rheological Properties of Living Materials. From Cells to Tissues , 2003 .

[70]  N. Bellomo,et al.  On the onset of non-linearity for diffusion models of binary mixtures of biological materials by asymptotic analysis , 2006 .

[71]  N. Bellomo,et al.  From a class of kinetic models to the macroscopic equations for multicellular systems in biology , 2003 .

[72]  E. Wigner The Unreasonable Effectiveness of Mathematics in the Natural Sciences (reprint) , 1960 .

[73]  Andreas Deutsch,et al.  Dynamics of cell and tissue motion , 1997 .

[74]  Nicola Bellomo,et al.  Lecture Notes on the Mathematical Theory of Generalized Boltzmann Models , 2000 .

[75]  L. Preziosi,et al.  ON THE CLOSURE OF MASS BALANCE MODELS FOR TUMOR GROWTH , 2002 .

[76]  A. Mogilner,et al.  Mathematical Biology Mutual Interactions, Potentials, and Individual Distance in a Social Aggregation , 2003 .

[77]  P. Lions,et al.  From the Boltzmann Equations¶to the Equations of¶Incompressible Fluid Mechanics, II , 2001 .