Proteomics And Its Applications In Cancer

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

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 volume 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.

In this first book to provide an overview of applications of proteomics in the discovery of new diagnostic, prognostic and therapeutic targets, a team of international specialists from research institutions, hospitals and companies contribute with their specific expertise. They cover a wide range of example applications for the most important diseases, such as heart and cardiovascular disorders, cancer, pharmatoxicology, infectious diseases and diseases of the nervous system. Denis Hochstrasser is an eminent scientist in the field of bioinformatics and proteomics and one of the founders of the Swiss Prot Databank as well as of the Swiss biotech company Genebio.

Omics is an emerging and exciting area in the field of science and medicine. Numerous promising developments have been elucidated using omics (including genomics, transcriptomics, epigenomics, proteomics, metabolomics, interactomics, cytomics and bioinformatics) in cancer research. The development of high-throughput technologies that permit the solution of deciphering cancer from higher dimensionality will provide a knowledge base which changes the face of cancer understanding and therapeutics. This is the first book to provide such a comprehensive coverage of a rapidly evolving area written by leading experts in the field of omics. It complies and details cutting-edge cancer research that covers the broad advances in the field and its application from cancer-associated gene discovery to drug target validation. It also highlights the potential of using integration approach for cancer research. This unique and timely book provides a thorough overview of developing omics, which will appeal to anyone involved in cancer research. It will be a useful reference book for graduate students of different subjects (medicine, biology, engineering, etc) and senior scientists interested in the fascinating area of advanced technologies in cancer research. Readership: This is a precious book for all types of readers – cancer researchers, oncologists, pathologists, biologists, clinical chemists, pharmacologists, pharmaceutical specialists, biostatisticians, and bioinformaticists who want to expand their knowledge in cancer research.

This volume presents an overview of recent developments in systems biology and their applications in cancer-related research. The ongoing advances in our understanding of genomics and proteomics, coupled with the development of new and more robust tools, have led to an emphasis on analyzing biological systems at multiple levels. Thus, there is a need to integrate different types of data into a comprehensive "systems" view. Written by active researchers in the emerging areas, this book gives senior undergraduate students, graduate students and new researchers an idea of where the frontiers of systems biology are and an opportunity to learn high-throughput techniques in use. One of the particular emphases of the book is to elucidate the molecular mechanisms in cancer. The discovery of biomarkers and anti-cancer drugs using systems biology approach is also extensively discussed.