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Systems Biology in Cancer Research and Drug Discovery

  • Book
  • © 2012

Overview

Editors:
  1. Asfar S. Azmi

    1. Karmanos Cancer Institute, Wayne State University, Detroit, USA

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  • Contains a collection chapters from world’s top experts describing systems approaches to cancer research Focussed on the use of latest integrated and systems technologies unique to cancer drug discovery Covers two highly appealing subjects (a) future cancer drugs and (b) personalized medicine New and emerging Systems concepts and technologies

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Table of contents (18 chapters)

  1. Front Matter

    Pages i-xii
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  2. Systems Biology in Cancer

    1. Front Matter

      Pages 1-1
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    2. Systems Biology Approach to Metabolomics in Cancer Studies

      • Mariano Bizzarri, Simona Dinicola, Cesare Manetti
      Pages 3-37

    3. System Biology Approach to Study Cancer Related Pathways

      • Yike Guo, Xian Yang
      Pages 39-67

    4. Modeling Oncogenic Signaling Networks from Gene Expression Dynamics

      • Aliccia Bollig-Fischer
      Pages 69-81

    5. An Integrated Systems Approach to the Study of Pancreatic Cancer

      • Emanuela Gadaleta, Rosalind J. Cutts, Ajanthah Sangaralingam, Nicholas R. Lemoine, Claude Chelala
      Pages 83-111

    6. Protein Microarray: An Ideal Platform for Systems Biology

      • Zong-Xiu Wang, Rui-Ping Deng, Shu-Juan Guo, Ji-Bin Zhang, Sheng-Ce Tao
      Pages 113-134

    7. Systems Biology of Pancreatic Cancer: The Role of Tumor-Microenvironment Communication in Development, Progression and Therapy Resistance

      • Sara Chiblak, Fevzi Demircioglu, Azadeh Fahim Golestaneh, Amir Abdollahi
      Pages 135-164

  3. Systems Approaches to Understand Cancer Progression

    1. Front Matter

      Pages 165-165
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    2. Understanding Cancer Progression Using Protein Interaction Networks

      • Emre Guney, Rebeca Sanz-Pamplona, Angels Sierra, Baldo Oliva
      Pages 167-195

    3. Understanding the Dynamics of Tumor Angiogenesis: A Systems Biology Approach

      • M. M. Quinas-Guerra, T. M. Ribeiro-Rodrigues, Juan Carlos Rodríguez-Manzaneque, Rui D. M. Travasso
      Pages 197-227

    4. Applications of Network Bioinformatics to Cancer Angiogenesis

      • Corban G. Rivera, Liang-Hui Chu, Joel S. Bader, Aleksander S. Popel
      Pages 229-244

  4. Systems and Network Biology in Decoding miRNA Complexity

    1. Front Matter

      Pages 245-245
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    2. Human MicroRNA Targetome Indicates a Specialized Role of MicroRNAs in Regulation of Oncogenesis

      • Jun-ichi Satoh
      Pages 247-266

    3. Novel and Alternative Bioinformatics Approaches to Understand miRNA-mRNA Interactome in Cancer Research

      • Xiaohong Li, Carolyn M. Klinge, Susmita Datta
      Pages 267-288

    4. Prioritizing Candidate Disease miRNAs by Topological Features in the miRNA-Target Dysregulated Network

      • Xia Li, Juan Xu, Yongsheng Li
      Pages 289-306

  5. Network Modeling in Cancer Drug Discovery and Clinical Trials

    1. Front Matter

      Pages 307-307
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    2. Development and Clinical Implementation of Reverse Phase Protein Microarrays for Protein Network Activation Mapping: Personalized Cancer Therapy

      • Mariaelena Pierobon, Julie Wulfkuhle, Lance A. Liotta, Emanuel F. Petricoin III
      Pages 309-323

    3. The Principle of Rational Design of Drug Combination and Personalized Therapy Based on Network Pharmacology

      • Jianghui Xiong, Simon Rayner, Fengji Liang, Yinghui Li
      Pages 325-337

    4. Relevance of Network Hierarchy in Cancer Drug-Target Selection

      • Aritro Nath, Christina Chan
      Pages 339-362
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Keywords

About this book

Systems Biology in Cancer Research and Drug Discovery provides a unique collection of chapters, by world-class researchers, describing the use of integrated systems biology and network modeling in the cancer field where traditional tools have failed to deliver expected promise. This book touches four applications/aspects of systems biology (i) in understanding aberrant signaling in cancer (ii) in identifying biomarkers and prognostic markers especially focused on angiogenesis pathways (iii) in unwinding microRNAs complexity and (iv) in anticancer drug discovery and in clinical trial design. This book reviews the state-of-the-art knowledge and touches upon cutting edge newer and improved applications especially in the area of network modeling. It is aimed at an audience ranging from students, academics, basic researcher and clinicians in cancer research. This book is expected to benefit the field of translational cancer medicine by bridging the gap between basic researchers, computational biologists and clinicians who have one ultimate goal and that is to defeat cancer.

Editors and Affiliations

  • Karmanos Cancer Institute, Wayne State University, Detroit, USA

    Asfar S. Azmi

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