Dynamics Of Cancer: Mathematical Foundations Of Oncology
MATHEMATICAL FOUNDATIONS OF ONCOLOGY
Published on 19. June 2014
Book
Hardback
532 pages
978-981-4566-36-0 (ISBN)
Description
The book aims to provide an introduction to mathematical models that describe the dynamics of tumor growth and the evolution of tumor cells. It can be used as a textbook for advanced undergraduate or graduate courses, and also serves as a reference book for researchers. The book has a strong evolutionary component and reflects the viewpoint that cancer can be understood rationally through a combination of mathematical and biological tools. It can be used both by mathematicians and biologists. Mathematically, the book starts with relatively simple ordinary differential equation models, and subsequently explores more complex stochastic and spatial models. Biologically, the book starts with explorations of the basic dynamics of tumor growth, including competitive interactions among cells, and subsequently moves on to the evolutionary dynamics of cancer cells, including scenarios of cancer initiation, progression, and treatment. The book finishes with a discussion of advanced topics, which describe how some of the mathematical concepts can be used to gain insights into a variety of questions, such as epigenetics, telomeres, gene therapy, and social interactions of cancer cells.
More details
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 33 mm
Weight
915 gr
ISBN-13
978-981-4566-36-0 (9789814566360)
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Schweitzer Classification
Persons
Content
Teaching Guide; Cancer and Somatic Evolution; Mathematical Modeling of Tumorigenesis; Basic Growth Dynamics and Deterministic Models: Single Species Growth; Two Species Competition Dynamics; Competition Between Genetically Stable and Unstable Cells; Chromosomal Instability and Tumor Growth; Angiogenesis Inhibitors, Promoters, and Spatial Growth; Evolutionary Dynamics and Stochastic Models: Evolutionary Dynamics of Tumor Initiation Through Oncogenes: The Gain-of-Function Model; Evolutionary Dynamics of Tumor Initiation Through Tumor-Suppressor Genes: The Loss-of-Function Model and Stochastic Tunneling; Microsatellite and Chromosomal Instability in Sporadic and Familial Cancers; Evolutionary Dynamics in Hierarchical Populations; Spatial Evolutionary Dynamics of Tumor Initiation; Complex Tumor Dynamics in Space; Stochastic Modeling of Cellular Growth, Treatment, and Resistance Generation; Evolutionary Dynamics of Drug Resistance in Chronic Myeloid Leukemia; Advanced Topics: Evolutionary Dynamics of Stem-Cell Driven Tumor Growth; Tumor Growth Kinetics and Disease Progression; Epigenetic Changes and The Rate of DNA Methylation; Telomeres and Cancer Protection; Gene Therapy and Oncolytic Virus Therapy; Immune Responses, Tumors Growth, and Therapies; Towards Higher Complexities: Social Interactions.