Proteomic Applications In Cancer Detection And Discovery

Helps researchers in proteomics and oncology work together to understand, prevent, and cure cancer Proteomic data is increasingly important to understanding the origin and progression of cancer; however, most oncologic researchers who depend on proteomics for their studies do not collect the data themselves. As a result, there is a knowledge gap between scientists, who devise proteomic techniques and collect the data, and the oncologic researchers, who are expected to interpret and apply proteomic data. Bridging the gap between proteomics and oncology research, this book explains how proteomic technology can be used to address some of the most important questions in cancer research. Proteomic Applications in Cancer Detection and Discovery enables readers to understand how proteomic data is acquired and analyzed and how it is interpreted. Author Timothy Veenstra has filled the book with examples many based on his own firsthand research experience that clearly demonstrate the application of proteomic technology in oncology research, including the discovery of novel biomarkers for different types of cancers. The book begins with a brief introduction to systems biology, explaining why cancer is a systems biology disease. Next, it covers such topics as: Mass spectrometry in cancer research Application of proteomics to global phosphorylation analysis Search for biomarkers in biofluids Rise and fall of proteomic patterns for cancer diagnostics Emergence of protein arrays Role of proteomics in personalized medicine The final chapter is dedicated to the future prospects of proteomics in cancer research. By guiding readers through the latest proteomic technologies and their applications in cancer research, Proteomic Applications in Cancer Detection and Discovery enhances the ability of researchers in proteomics and researchers in oncology to collaborate in order to better understand cancer and develop strategies to prevent and treat it.

This book covers current topics related to the use of proteomic strategies in cancer therapy as well as anticipated challenges that may arise from its application in daily practice. It details current technologies used in proteomics, examines the use proteomics in cell signaling, presents clinical applications of proteomics in cancer therapy, and looks at the role of the FDA in regulating the use of proteomics.

Proteomics: A Promising Approach for Cancer Research provides an updated overview of scientific knowledge, achievements and findings in the field of cancer proteomics. The book discusses topics such as the use of proteomics in cancer biology and drug discovery, its role in surgical oncology, applications of mass spectrometry, target proteomics, single-cell proteomics, and next-generation proteomics. In addition, it discusses proteomics and phosphor-proteomics in cancer precision medicine; translation of proteomics research into clinical application; and challenges and future developments of the field. This will be a valuable resource for cancer researchers, oncologists, graduate students, and members of biomedical field who are interested in the potential of proteomics in cancer research and treatment. The field of cancer proteomics is very dynamic, with emerging trends related to clinical solutions developed in recent years, therefore this book's content helps readers get up-to-speed on the topic to easily apply learnings into their research or clinical practice. Provides up-to-date information on current cancer proteomics research developed globally Presents basic research aspects to clinical implications of proteomics on cancer diagnosis and potential treatments Discusses challenges and future developments of the field to leverage further research and applicability in clinical setting

Proteomics in Cancer Research covers both the basic principles of proteomics along with detailed presentations of new and emerging technology that represent promising breakthroughs in cancer prevention and treatment. The topics covered include: Basic concepts, including setting up a proteomics laboratory, mass spectrometry, protein separations, protein array technologies, and informatics tools Application of emerging technologies to proteomic analysis of cancer cells and tissues, including discussion of critical issues such as characteristics of cancer cell proteomes and protein-protein interactions Application of proteomics approaches in clinical cancer research and a forecast of future research and applications In most cases, applications of methods in basic and translational cancer research that are discussed in the text represent the first uses of these proteomics approaches to study any disease. Critical issues that readers in cancer research need to understand are covered in detail, including: Advantages and limitations of different technologies New approaches to the molecular classification of tumors Discovery of new biomarkers and imaging targets and development of new proteomic platforms for profiling and screening The unique proteomic features that characterize cancers offer new opportunities for disease prevention and treatment. Despite intense interest, however, proteomics is just beginning to become a part of the cancer research mainstream, as relatively few cancer researchers have training in proteomics methods and approaches. This book, therefore, is both a timely and an essential guide that will help readers understand key concepts of proteomics and use its methods to search for ways to both cure and prevent cancer.

This volume contains the lectures held at the International Symposium on Cancer "New Trends in Cancer for the 21st Century". Fundamental researchers, politicians and representatives from patient coalitions share their knowledge and interests as well as their concerns and experiences. Not only do these papers provide state-of-the-art information on cancer, they are also an opportunity to look at the problem from different points of view.

Topics include: Development and Validation of Reverse Phase Protein Microarrays for Personalized Therapy, Imaging Mass Spectrometry for Predictive and Prognostic Medicine, Immunomic Based Profiling for Early Cancer Detection, Antibody Arrays for Clinical Applications, Autoantibody profiling for Cancer Detection, Development and validation of a protein based signature for ovarian cancer detection, Analytical considerations for Mass Spectrometry Profiling in Serum Biomarker Discovery, Salivary Biomarkers for Clinical Applications, Proteomics of Caveolea: Clinical Applications, Clinical opportunities for renal cell cancer management using proteomics, Cardiovascular Proteomics: implications for clinical applications, Clinical Proteomic Applications from FFPE, Development of high throughput mass spectrometry- based approaches for cancer biomarker discovery and implementation, Proteomics and Diabetic Retinopathy.

Proteomic and Metabolomic Approaches to Biomarker Discovery, Second Edition covers techniques from both proteomics and metabolomics and includes all steps involved in biomarker discovery, from study design to study execution. The book describes methods and presents a standard operating procedure for sample selection, preparation and storage, as well as data analysis and modeling. This new standard effectively eliminates the differing methodologies used in studies and creates a unified approach. Readers will learn the advantages and disadvantages of the various techniques discussed, as well as potential difficulties inherent to all steps in the biomarker discovery process. This second edition has been fully updated and revised to address recent advances in MS and NMR instrumentation, high-field NMR, proteomics and metabolomics for biomarker validation, clinical assays of biomarkers and clinical MS and NMR, identifying microRNAs and autoantibodies as biomarkers, MRM-MS assay development, top-down MS, glycosylation-based serum biomarkers, cell surface proteins in biomarker discovery, lipodomics for cancer biomarker discovery, and strategies to design studies to identify predictive biomarkers in cancer research. Addresses the full range of proteomic and metabolomic methods and technologies used for biomarker discovery and validation Covers all steps involved in biomarker discovery, from study design to study execution Serves as a vital resource for biochemists, biologists, analytical chemists, bioanalytical chemists, clinical and medical technicians, researchers in pharmaceuticals and graduate students