Items related to A Survey of Models for Tumor-Immune System Dynamics
Synopsis
1. A Brief History of Immunologic Thinking: Is it Time for Yin and Yang?.- 1.1 Koch's Postulates.- 1.2 Aristotle's Laws of Logical Argument.- 1.3 Antigens and T-Cell Responses.- 1.4 Thinking About the Immune System.- 1.5 Fuzzy T-Cell Model.- 1.6 Acknowledgment.- 2. General Aspects of Modeling Tumor Growth and Immune Response.- 2.1 Introduction.- 2.2 What is a Mathematical Model?.- 2.2.1 Why are mathematical models useful?.- 2.2.2 Limitations of mathematical models.- 2.2.3 Other considerations.- 2.3 Introduction to Deterministic Tumor (or Spheroid) Growth Models.- 2.3.1 Basic models: Description.- 2.3.2 Basic diffusion models: Mathematical aspects.- 2.3.3 Diffusion of growth inhibitor.- 2.3.4 Time-evolutionary diffusion models.- 2.4 A Predator-Prey Approach.- 2.5 A Model of Tumor Cell/Immune System Interaction.- 2.6 Models, Metaphors and Similes: Some Alternative Paradigms.- 2.6.1 The tunneling phenomenon.- 2.6.2 Some speculation.- 2.7 References.- 2.8 Appendices.- 2.8.1 Appendix I - Comments on catastrophe theory.- 2.8.2 Appendix II - Solution existence, uniqueness, stability and bifurcation and the inverse problem.- 3. Mathematical Modeling of Tumor Growth Kinetics.- 3.1 Introduction.- 3.2 Tumor Growth as a Dynamical System.- 3.2.1 Construction of growth rate functions.- 3.3 The Gompertz Model.- 3.3.1 Gompertz model as a simple dynamical system.- 3.3.2 Gompertz model as an S-system.- 3.3.3 Gompertz model and quiescence.- 3.3.4 Gompertz model and cell kinetics.- 3.3.5 Gompertz model and entropy.- 3.3.6 Gompertz model and tumor heterogeneity.- 3.3.7 Other explanations and analyses of Gompertz model.- 3.4 The Logistic Model.- 3.5 Models of von Bertalanffy.- 3.6 Tumor Growth Modeled by Specific Mechanisms.- 3.6.1 Competition among cell populations.- 3.6.2 Cell cycle kinetics and regulation by growth factors.- 3.6.3 Positive feedback mechanisms in tumors.- 3.7 Mathematical Models and Measured Growth Curves.- 3.7.1 Growth data and Gompertz model.- 3.7.2 Comparative studies of deterministic tumor growth models.- 3.8 Concluding Outlooks.- 3.9 Acknowledgment.- 3.10 References.- 4. Tumor Immune System Interactions: The Kinetic Cellular Theory.- 4.1 Introduction.- 4.2 A Concise Guide to the Literature.- 4.3 Guidelines: From Observation to Simulation.- 4.4 Cell Population and Activity.- 4.5 Modeling Cell Interactions.- 4.6 Evolution Kinetic Equations.- 4.7 Experimental Activity.- 4.7.1 Transition to neoplastic behavior and tumor proliferation.- 4.7.2 Preimmunization and recognition of antigens.- 4.7.3 Cytokine genes.- 4.8 Simulation and Validation Problems.- 4.8.1 Simulation methods.- 4.8.2 Some identification and validation problems.- 4.8.3 Discrete models.- 4.9 Remarks Addressed to Applied Mathematicians.- 4.10 Perspectives.- 4.11 References.- 5. From Mutation to Metastasis: The Mathematical Modelling of the Stages of Tumour Development.- 5.1 Introduction.- 5.2 Avascular Tumour Growth: The Multicell Spheroid Model.- 5.2.1 Results.- 5.3 Thmour Angiogenesis. Capillary Sprout Formation and Growth.- 5.3.1 Model improvements and extension.- 5.3.2 Numerical simulations.- 5.4 Vascular Tumour Growth.- 5.4.1 Results.- 5.5 Discussion and Conclusions.- 5.6 References.- 6. Basic Models of Tumor-Immune System Interactions Identification, Analysis and Predictions.- 6.1 Introduction.- 6.2 Kinetics Models of Cellular Cytotoxic Reactions at the Effector Stage of Immune Response.- 6.2.1 Solutions of the model at quasi-stationary approximation.- 6.2.2 Comparison of the minimal model with experimental data.- 6.3 Regulatory Cells at the Effector Stage of the Cellular Immune Response.- 6.4 Modeling of the Recognition Mechanisms of Thmor Cells by NK-like Cells.- 6.5 Switch of Cytolytic Mechanisms: Effector Cells, Target Cells and Bispecific Regulating Molecules.- 6.5.1 Kinetics of the multiple cytotoxic reactions.- 6.5.2 General model.- 6.5.3 Kinetics of ADCC/LDCC reactions.- 6.5.4 One effector cell and two molecular mechanisms recognition.- 6.5.5 Conclusi
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From the Back Cover
This unique book is a collection of seven interdisciplinary surveys on modeling tumor dynamics and interactions between tumors and immune system. The goal is to provide an accessible, comprehensive report on the field and to help define a framework for future interdisciplinary research activity. Modeling and simulation of general behaviors of immune systems are also discussed. Each survey carefully covers a specialized field and provides a detailed description of the present state-of-the-art in research. The reader will be able to obtain essential information on the methodological approach used and on the models that are categorized and used. The book is an excellent resource and survey for applied mathematicians, mathematical biologists and biologists interested in modeling methods in immunology and related sciences.
Review
"This book is [a] very helpful tool for mathematicians constructing models in biology and hopefully it can also help biologists to understand some philosophy of mathematical descriptions of biological phenomena with all its pluses and minuses."
―Mathematica Bohemica
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