The book shows how mathematical and computational models can be used to study cancer biology. It introduces the concept of mathematical modeling and then applies it to a variety of topics in cancer biology. These include aspects of cancer initiation and progression, such as the somatic evolution of cells, genetic instability, and angiogenesis. The book also discusses the use of mathematical models for the analysis of therapeutic approaches such as chemotherapy, immunotherapy, and the use of oncolytic viruses.Contents:Cancer and Somatic EvolutionMathematical Modeling of TumorigenesisCancer Initiation: One-Hit and Two-Hit Stochastic ModelsMicrosatellite and Chromosomal Istability in Sporadic and Familial CancersCellular Origins of CancerCosts and Benefits of Chromosomal InstabilityDNA Damage and Genetic InstabilityTissue Aging and the Development of CancerBasic Models of Tumor Inhibition and PromotionMechanisms of Tumor NeovascularizationCancer and Immune ResponsesTherapeutic Approaches: Viruses as Anti-Tumor WeaponsReadership: Researchers and academics in bioinformatics, biocomputing, biomathematics, cell/molecular biology and cancer biology, as well as clinicians.