Molecular Diagnostics and Treatment of Pancreatic Cancer :Systems and Network Biology Approaches

Publication subTitle :Systems and Network Biology Approaches

Author: Azmi   Asfar  

Publisher: Elsevier Science‎

Publication year: 2014

E-ISBN: 9780124079465

P-ISBN(Paperback): 9780124081031

P-ISBN(Hardback):  9780124081031

Subject: R735.9 pancreatic tumor

Language: ENG

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Description

Molecular Diagnostics and Treatment of Pancreatic Cancer describes the different emerging applications of systems biology and how it is shaping modern pancreatic cancer research. This book begins by introducing the current state of the art knowledge, trends in diagnostics, progress in disease model systems as well as new treatment and palliative care strategies in pancreatic cancer. Specific sections are dedicated to enlighten the readers to newer discoveries that have emerged from gene expression profiling, proteomics, metabolomics and systems level analyses of pancreatic cancer datasets. First of a kind and novel network strategies to understand oncogenic Kras signaling in pancreatic tumors are presented. The attempts to computationally model and prioritize microRNAs that cause pancreatic cancer resistance are also highlighted.

Addressing this important area, Molecular Diagnostics and Treatment of Pancreatic Cancer provides insights into important network evaluation methodologies related to pancreatic cancer related microRNAs targetome. There are dedicated chapters on critical aspects of the evolving yet controversial field of pancreatic cancer stems cells. The work concludes by discussing the applications of network sciences in pancreatic cancer drug discovery and clinical trial design.

  • Encompasses discussion of innovative tools including expression signatures in cell lines, 3D models, animal xenograft models, primary models and patient

Chapter

Front Cover

pp.:  1 – 4

Copyright

pp.:  5 – 6

DEDICATION

pp.:  6 – 8

CONTENTS

pp.:  8 – 14

PREFACE

pp.:  14 – 16

ACKNOWLEDGMENTS

pp.:  16 – 18

CONTRIBUTORS

pp.:  18 – 22

Section II - Gene Expression Profiling and Bioinformatics Analysis in Pancreatic Cancer

pp.:  112 – 216

Section III - Pancreatic Cancer Proteomics

pp.:  216 – 300

Section IV - Systems and Network Understanding of Pancreatic Cancer Signaling

pp.:  300 – 386

Section V - Systems Approaches to Pancreatic Cancer Therapeutics

pp.:  386 – 448

INDEX

pp.:  448 – 468

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