Multiscale Cancer Modeling

by Deisboeck; Thomas S.

• ISBN13: 9781439814406
• ISBN10: 1439814406
• Format: Hardcover
• Copyright: 2010-12-08
• Publisher: CRC Press

Summary

With contributions from some of the top in silico modeling groups in the United States and Europe, Multiscale Cancer Modeling discusses the scientific and technical expertise necessary to conduct innovative cancer modeling research across scales. It presents modeling methods and results at the forefront of cancer simulation at all levels of biocomplexity and explains how combinations of multilevel cancer models can enhance our understanding of cancer and can help optimize its treatment. The book explores computational cancer research ranging from experimentally testable hypothesis generation and cross-scale data integration to patient-specific prediction of progression and treatment planning.

Table of Contents

Preface	p. xiii
Acknowledgments	p. xv
About the Editors	p. xvii
Contributors	p. xix
Evolution, Regulation, and Disruption of Homeostasis and Its Role in Carcinogenesis	p. 1
Cancer Cell: Linking Oncogenic Signaling to Molecular Structure	p. 31
Has Cancer Sculpted the Genome? Modeling Linkage and the Role of Tetraploidy in Neoplastic Progression	p. 45
Catastrophes and Complex Networks in Genomically Unstable Tumorigenesis	p. 67
A Stochastic Multiscale Model Framework for Colonic Stem Cell Homeostasis	p. 87
Multiscale Modeling of Colonic Crypts and Early Colorectal Cancer	p. 111
The Physical Microenvironment in Somatic Evolution of Cancer	p. 135
Multiscale Modeling of Cell Motion in Three-Dimensional Environments	p. 157
Simulating Cancer Growth with Agent-Based Models	p. 173
Diffusional Instability as a Mechanism of Tumor Invasion	p. 193
Continuum Models of Mesenchymal Cell Migration and Sprouting Angiogenesis	p. 213
Do Tumor Invasion Strategies Follow Basic Physical Laws?	p. 237
Multiscale Mathematical Modeling of Vascular Tumor Growth: An Exercise in Transatlantic Cooperation	p. 253
A Multiscale Simulation Framework for Modeling Solid Tumor Growth with an Explicit Vessel Network	p. 309
Building Stochastic Models for Cancer Growth and Treatment	p. 339
Bridging from Multiscale Modeling to Practical Clinical Applications in the Study of Human Gliomas	p. 359
Personalization of Reaction-Diffusion Tumor Growth Models in MR Images: Application to Brain Gliomas Characterization and Radiotherapy Planning	p. 385
In Silico Oncology: Part I-Clinically Oriented Cancer Multilevel Modeling Based on Discrete Event Simulation	p. 407
In Silico Oncology: Part II-Clinical Requirements Regarding In Silico Oncology	p. 437
Abbreviations	p. 447
Index	p. 449
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