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Topics included in the book cover oncogenetic trees, stochastic multistage models of carcinogenesis, effects of ionizing radiation on cell cycle and genomic instability, induction of DNA damage by ionizing radiation and its repair, epigenetic cancer models, bystander effects of radiation, multiple pathway models of human colon cancer, and stochastic models of metastasis. The book also provides some important applications of cancer models to the assessment of cancer risk associated with various hazardous environmental agents, to cancer screening by MRI, and to drug resistance in cancer chemotherapy. An updated statistical design and analysis of xenograft experiments as well as a statistical analysis of cancer occult clinical data are also provided.
List of contents
Oncogenetic Trees (A Szabo & K Boucher); Stochastic Multistage Cancer Models: A Fresh Look at an Old Approach (Q Zheng); Cancer Biology, Cancer Models and Some New Approaches to Carcinogenesis (W-Y Tan et al.); Modeling the Effects of Radiation on Cell Cycle Regulation and Carcinogenesis (W D Hazelton); Cancer Models, Ionization, and Genomic Instability: A Review (M P Little); Distribution of the Size of Metastases: Theoretical Consideration (L Hannin); Mathematical Models of Cancer and Their Relevant Insights (E Afenya); Major Epigenetic Hypotheses of Carcinogenesis Revisited (K-T Chung); Induction and Repair of DNA Damage Formed by Energetic Elections and Light Ions (R D Stewart & V A Semenenko); Radiation-Induced Bystander Effects (L C DeVeaux); A Multiple Pathway Model of Human Colon Cancer (W-Y Tan et al.); Cancer Risk Assessment of Environmental Agents by Stochastic and State Space Models of Carcinogenesis (W-Y Tan et al.); Stochastic Models for Preneoplastic Lesions and Their Application for Cancer Risk Assessment (A Knopp-Schneider et al.); Drug Resistance in Cancer Models (J Smieja); Bladder Cancer Screening by Magnetic Resonance Imaging (L Li et al.); Mathematical Framework and Wavelet Applications in Proteomics for Cancer Study (D Hong & Y Shyr); Advanced Statistical Methods for the Design and Analysis of Tumor Xenograft Experiments (M Tan & H-B Fang); Analysis of Occult Tumor Trial Data (S N Rai).
