Molecular Diagnostics and Treatment of Pancreatic Cancer -  Asfar Azmi

Molecular Diagnostics and Treatment of Pancreatic Cancer (eBook)

Systems and Network Biology Approaches

(Autor)

eBook Download: PDF | EPUB
2014 | 1. Auflage
458 Seiten
Elsevier Science (Verlag)
978-0-12-407946-5 (ISBN)
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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

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

Contributors


AmirAbdollahi

German Cancer Consortium (DKTK), Heidelberg, Germany

Molecular & Translational Radiation Oncology, Heidelberg Ion Therapy Center (HIT), Heidelberg Institute of Radiation Oncology (HIRO), University of Heidelberg Medical School and National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany

Baltazar D.Aguda,     DiseasePathways LLC, Bethesda, MD, USA

ShadanAli,     Department of Oncology, Karmanos Cancer Institute, Detroit, MI, USA

Osama M.Alian,     Department of Oncology, Karmanos Cancer Institute, Detroit, MI, USA

Laufey T.Amundadottir,     Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA

Asfar S.Azmi,     Department of Pathology, Wayne State University School of Medicine, Detroit, MI, USA

Ginny F.Bao,     Department of Pathology, Wayne State University School of Medicine, Detroit, MI, USA

Oliver F.Bathe,     Departments of Surgery and Oncology, University of Calgary, Calgary, AB, Canada

Charles E.Birse,     Department of Protein Therapeutics, Celera, Rockville, MD, USA; Celera, Alameda, CA, USA

Teresa A.Brentnall,     Department of Medicine, University of Washington, Seattle, WA, USA

RuChen,     Department of Medicine, University of Washington, Seattle, WA, USA

SaraChiblak

German Cancer Consortium (DKTK), Heidelberg, Germany

Molecular & Translational Radiation Oncology, Heidelberg Ion Therapy Center (HIT), Heidelberg Institute of Radiation Oncology (HIRO), University of Heidelberg Medical School and National Center for Tumor Diseases (NCT), German Cancer Research Center (DKFZ), Heidelberg, Germany

EdmundClarke,     Computer Science Department, Carnegie Mellon University, Pittsburgh, PA, USA

BrunoDomon,     Department of Protein Therapeutics, Celera, Rockville, MD, USA; Luxembourg Clinical Proteomics Center, CRP-Sante, Luxembourg

NiccolaFunel,     Department of Surgical, Molecular and Medical Pathology, University of Pisa, Pisa, Italy

JiankunGao,     Department of Basic Medical Sciences, Sichuan College of Traditional Chinese Medicine, Mianyang, Sichuan, China

HaijunGong,     Department of Mathematics and Computer Science, Saint Louis University, St. Louis, MO, USA

RobertGrützmann,     Department of General, Thoracic, and Vascular Surgery, University Hospital “Carl Gustav Carus”, Dresden University of Technology, Dresden, Germany

TaoHe,     Department of Protein Therapeutics, Celera, Rockville, MD, USA; Pfizer, Cambridge, MA, USA

JasonHoskins,     Laboratory of Translational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA

Sun-IlHwang,     Proteomics and Mass Spectrometry Research Laboratory, Carolinas HealthCare System, Charlotte, NC, USA

JinpingJia,     Laboratory ofTranslational Genomics, Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA

Amin I.Kassis,     Department of Radiology, Harvard Medical School, Boston, MA, USA

Jin-GyunLee,     Proteomics and Mass Spectrometry Research Laboratory, Carolinas HealthCare System, Charlotte, NC, USA

Candy N.Lee,     Department of Protein Therapeutics, Celera, Rockville, MD, USA; Pfizer, South San Francisco, CA, USA

Lance A.Liotta,     Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA

Kenneth E.Lipson,     FibroGen, Inc., San Francisco, CA, USA

IanMcCaffrey,     Department of Protein Therapeutics, Celera, Rockville, MD, USA; Genentech, South San Francisco, CA, USA

Kimberly Q.McKinney,     Proteomics and Mass Spectrometry Research Laboratory, Carolinas HealthCare System, Charlotte, NC, USA

KatherineMcKinnon,     Department of Protein Therapeutics, Celera, Rockville, MD, USA; NCI, Bethesda, MD, USA

LucioMiele,     University of Mississippi Cancer Institute, Jackson, MS, USA

Ramzi M.Mohammad,     Department of Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI, USA; Hamad Medical Corporation, Doha, Qatar

Paul A.Moore,     Department of Protein Therapeutics, Celera, Rockville, MD, USA; MacroGenics Inc., Rockville, MD, USA

IrfanaMuqbil,     Department of Biochemistry, Faculty of Life Sciences, AMU, Aligarh, UP, India

ShengPan,     Department of Medicine, University of Washington, Seattle, WA, USA

Emanuel F.PetricoinIII.,     Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA

Philip A.Philip,     Department of Oncology, Karmanos Cancer Institute, Detroit, MI, USA

MariaelenaPierobon,     Center for Applied Proteomics and Molecular Medicine, George Mason University, Manassas, VA, USA

ChristianPilarsky,     Department of Visceral-, Thoracic- and Vascular Surgery, Medizinische Universität Carl Gustav Carus, TU Dresden, Dresden, Germany

PavelPospisil,     Philip Morris International R&D, Philip Morris Products S.A., Neuchâtel, Switzerland

Francisco X.Real,     Spanish National Cancer Research Center (CNIO), Madrid, Spain

Steven M.Ruben,     Department of Protein Therapeutics, Celera, Rockville, MD, USA

Enrique Carrillo-deSanta Pau,     Spanish National Cancer Research Center (CNIO), Madrid, Spain

Fazlul H.Sarkar,     Department of Pathology and Oncology, Karmanos Cancer Institute, Wayne State University, Detroit, MI,...

Erscheint lt. Verlag 14.4.2014
Sprache englisch
Themenwelt Medizinische Fachgebiete Innere Medizin Endokrinologie
Medizinische Fachgebiete Innere Medizin Gastroenterologie
Medizin / Pharmazie Medizinische Fachgebiete Onkologie
ISBN-10 0-12-407946-6 / 0124079466
ISBN-13 978-0-12-407946-5 / 9780124079465
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