1st Edition

Cancer Systems Biology

Edited By Edwin Wang Copyright 2010
    456 Pages 32 Color & 72 B/W Illustrations
    by CRC Press

    456 Pages 32 Color & 72 B/W Illustrations
    by CRC Press

    The unprecedented amount of data produced with high-throughput experimentation forces biologists to employ mathematical representation and computation methods to glean meaningful information in systems-level biology. Applying this approach to the underlying molecular mechanisms of tumorigenesis, cancer researchers can uncover a series of new discoveries and biological insights.

    The First Cancer Systems Biology Book Designed for Computational and Experimental Biologists
    Unusual in its dualistic approach, Cancer Systems Biology discusses the recent progress in the understanding of cancer systems biology at a time when more and more researchers and pharmaceutical companies are looking into a systems biology approach to find drugs that can effectively be used to treat cancer patients.

    Includes Contributions from more than 30 International Experts
    Part I introduces basic concepts and theories of systems biology and their applications in cancer research, including case studies of current efforts in cancer systems biology. Part II discusses basic cancer biology and cutting-edge topics of cancer research for computational biologists. In contains an overview of genomics, cell signaling, and tumorigenesis, in addition to hot topics like molecular mechanisms of cancer metastasis and the molecular relationships between solid tumors, their microenvironments, and tumor blood vessels. Rounding out the book’s solid coverage, Part III explores a variety of computational tools and public data resources that are useful for studying cancer problems at a systems level.

    Cancer systems biology is still in its infancy as a field of study, but it is fast becoming indispensable in the battle to defeat cancer and develop successful new treatments. Cancer Systems Biology marks an important step toward reaching that goal.

    Hiroaki Kitano, President, The Systems Biology Institute, Tokyo, Japan
    A Roadmap of Cancer Systems Biology
    Edwin Wang
    Network Biology, the Framework of Systems Biology
    Jing-Dong Han
    Reconstructing Gene Networks Using Gene Expression Profiles
    Mario Lauria and Diego di Bernardo
    Understanding Cancer Progression in Protein Interaction Networks
    Jinsheng Sun, Jie Li, and Edwin Wang
    From Tumor Genome Sequencing to Cancer Signaling Maps
    Cong Fu and Edwin Wang
    Ubiquitin-Mediated Regulation of Human Signaling Networks in Normal and Cancer Cells
    Cong Fu, Jie Li, and Edwin Wang
    microRNA Regulation of Networks of Normal and Cancer Cells
    Pradeep Kumar Shreenivasaiah, Do Han Kim, and Edwin Wang
    Network Model of Survival Signaling in T-Cell Large Granular Lymphocyte Leukemia
    Ranran Zhang, Thomas P. Loughran, Jr., and Réka Albert
    Cancer Metabolic Networks: Metabolic Pathways Modeling and Metabolomics in Cancer Research
    Miroslava Cuperlovic-Culf
    Warburg Revisited: Modeling Energy Metabolism for Cancer Systems Biology
    Mathieu Cloutier
    Cancer Gene Prediction Using a Network Approach
    Xuebing Wu and Shao Li
    Cancer Genomics to Cancer Biology
    Maria Luz Jaramillo and Chabane Tibiche
    Epithelial-to-Mesenchymal Transition (EMT): The Good, the Bad, and the Ugly
    Anne E.G. Lenferink
    Tumors and Their Microenvironments
    Nicholas R. Bertos and Morag Park
    Tumor Angiogenesis: Cell-Microenvironment Interactions
    Ally Pen, Danica B. Stanimirovic, Maria J. Moreno
    Modeling Tools for Cancer Systems Biology
    Wayne Materi and David S. Wishart
    Advanced Visualization, Analysis and Inference of Biological Networks Using VisANT
    Zhenjun Hu
    Gene Set and Pathway-Based Analysis for Cancer Omics
    Dougu Nam and Seon-Young Kim
    SH2 Domain Signaling Network and Cancer
    Shawn S.-C. Li and Thamara K.J. Dayarathna
    Data Sources and Computational Tools for Cancer Systems Biology
    Yun Ma, Pradeep Kumar Shreenivasaiah, and Edwin Wang


    Edwin Wang received his PhD in experimental molecular genetics from the University of British Columbia in 2002. He also has undergraduate training in computer science. After working at FlyBase for a year, he moved to the Biotechnology Research Institute, National Research Council Canada, as a scientist working on bioinformatics and systems biology. He is currently a senior scientist at the National Research Council Canada and an adjunct professor at the McGill University Center for Bioinformatics. His work is focused on bioinformatics, computational, and experimental systems biology.

    "This book is a wonderful and significant collection of chapters describing recent progress of cancer systems biology. This is a timely attempt as more and more researchers and pharmaceutical companies are looking into a systems biology approach to treat cancer patients and to find drugs that can be effectively used for cancer patients. At the same time, readers may realize the breadth of subjects that are involved in cancer systems biology."
    —From the Foreword by Hiroaki Kitano, President, The Systems Biology Institute, and Director, Sony Computer Science Laboratories, Inc., Tokyo, Japan