تشخیص و درمان سرطان پانکراس: رویکردهای زیست‌شناسی سیستم‌ها و شبکه‌ها

__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 derived samples, aiding subversion of traditional biology paradigms, and enhancing comprehension across conventional length and temporal scales * Coverage includes novel applications in targeted drugs, polypharmacology, network pharmacology and other related drug development arenas - helping researchers in pancreatic cancer drug discovery * Summarizes many relevant computational and clinical references from fast-evolving literature * Comprehensive glossary helps newer readers understand technical terms and specialized nomenclature Content: Front Matter , Page iii Copyright , Page iv Dedication , Page v Preface , Pages xiii-xiv Acknowledgments , Page xv Contributors , Pages xvii-xx Chapter 1 - Epidemiology, Treatment, and Outcome of Pancreatic Cancer , Pages 3-9 Chapter 2 - Advances in Primary Cell Culture of Pancreatic Cancer , Pages 11-38 Chapter 3 - Multimodal Therapies for Pancreatic Cancer , Pages 39-73 Chapter 4 - The Role of Notch Signaling Pathway in the Progression of Pancreatic Cancer , Pages 75-89 Chapter 5 - Bioinformatics Analysis of Pancreas Cancer Genome in High-Throughput Genomic Technologies , Pages 93-131 Chapter 6 - Statistical Analysis of High-Dimensional Data for Pancreatic Cancer , Pages 133-150 Chapter 7 - Gene Expression Profiling in Pancreatic Cancer , Pages 151-167 Chapter 8 - Genetic Susceptibility and Risk of Pancreatic Cancer , Pages 169-194 Chapter 9 - Proteomics in Pancreatic Cancer Translational Research , Pages 197-219 Chapter 10 - Proteomic Differences and Linkages between Chemoresistance and Metastasis of Pancreatic Cancer Using Knowledge-Based Pathway Analysis , Pages 221-244 Chapter 11 - RNAi Validation of Pancreatic Cancer Antigens Identified by Cell Surface Proteomics , Pages 245-277 Chapter 12 - The Significance of the Feedback Loops between Kras and Ink4a in Pancreatic Cancer , Pages 281-296 Chapter 13 - Systems Biology of Pancreatic Cancer Stem Cells , Pages 297-322 Chapter 14 - Characterizing the Metabolomic Effects of Pancreatic Cancer , Pages 323-343 Chapter 15 - Prioritizing Diagnostic, Prognostic, and Therapeutic MicroRNAs in Pancreatic Cancer: Systems and Network Biology Approaches , Pages 345-363 Chapter 16 - Integration of Protein Network Activation Mapping Technology for Personalized Therapy: Implications for Pancreatic Cancer , Pages 367-383 Chapter 17 - Computational and Biological Evaluation of Radioiodinated Quinazolinone Prodrug for Targeting Pancreatic Cancer , Pages 385-403 Chapter 18 - Systems and Network Pharmacology Strategies for Pancreatic Ductal Adenocarcinoma Therapy: A Resource Review , Pages 405-425 Index , Pages 427-446

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 derived samples, aiding subversion of traditional biology paradigms, and enhancing comprehension across conventional length and temporal scales
• Coverage includes novel applications in targeted drugs, polypharmacology, network pharmacology and other related drug development arenas – helping researchers in pancreatic cancer drug discovery
• Summarizes many relevant computational and clinical references from fast-evolving literature
• Comprehensive glossary helps newer readers understand technical terms and specialized nomenclature