Cancer Systems Biology: 1st Edition (Paperback) book cover

Cancer Systems Biology

1st Edition

Edited by Edwin Wang

CRC Press

456 pages | 32 Color Illus. | 72 B/W Illus.

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Paperback: 9781138113299
pub: 2017-06-14
Hardback: 9781439811856
pub: 2010-05-04
eBook (VitalSource) : 9780429075438
pub: 2010-05-04
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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.


"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

Table of Contents


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

About the Editor

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.

About the Series

Chapman & Hall/CRC Mathematical and Computational Biology

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Subject Categories

BISAC Subject Codes/Headings:
SCIENCE / Life Sciences / Biology / General
SCIENCE / Biotechnology
SCIENCE / Physics