دانلود کتاب دینامیک سرطان: مبانی ریاضی انکولوژی
Dynamics of Cancer : Mathematical Foundations of Oncology, 1ed

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.

Readership: Researchers in mathematical biology, mathematical modeling, biology, mathematical oncology.

From the Inside Flap

Contents

۱. Teaching guide
۲. Cancer and somatic evolution
۳. Mathematical modeling of tumorigenesis
۴. Single species growth
۵. Two-species competition dynamics
۶. Competition between genetically stable and unstable cells
۷. Chromosomal instability and tumor growth
۸. Angiogenesis, inhibitors, promoters,and spatial growth
۹. Evolutionary dynamics of tumor initiation through oncogenes: the gain-of-function model
۱۰. Evolutionary dynamics of tumor initiation through tumor-suppressor genes: the loss-of-function model and stochastic tunneling
۱۱. MicrosateHite and chromosomal instability in sporadic and familial colorectal cancers
۱۲. Evolutionary dynamics in hierarchical populations
۱۳. Spatial evolutionary dynamics of tumor initiation
۱۴. Complex tumor dynamics in space
۱۵. Stochastic modeling of cancer growth, treatment, and resistance generation
۱۶. Evolutionary dynamics of drug resistance in chronic myeloid leukemia
۱۷. Evolutionary dynamics of stem-cell driven tumor growth
۱۸. Tumor growth kinetics and disease progression
۱۹. Epigenetic changes and the rate of DNA methylation
۲۰. Telomeres and cancer protection
۲۱. Gene therapy and oncolytic virus therapy
۲۲. Immune responses, tumor growth, and therapy
۲۳. Towards higher complexities: social interactions