Biomarkers in Cancer Screening and Early Detection

Tools, techniques, and progress in cancer biomarkers discovery The completion of a number of gene sequencing projects, recent advances in genomic and proteomic technologies, and the availability of powerful bioinformatics tools have led to promising new avenues and approaches in the search for cancer biomarkers. This book provides a comprehensive overview of current methodologies and technologies. It discusses biomarker discovery as a whole, rather than focusing on one specific marker or cancer. With information on both existing and potential biomarkers, Cancer Biomarkers: Analytical Techniques for Discovery: * Provides insights into the current technological platforms for biomarker discovery, including mass spectrometry combined with multidimensional chromatography, DIGE, and various chip technologies * Includes a detailed discussion of protein networks and protein phosphorylation in cancer * Details the use of imaging mass spectrometry, laser capture microdissection, serial analysis of gene expression, enzyme-linked immunosorbent assays, protein microarrays, antibody-based microarrays, and bioinformatics * Covers the emerging role of surface-enhanced laser desorption ionization (SELDI) and various tagging and labeling strategies * Discusses related regulatory and ethical issues With a wealth of information that can be applied to a broad spectrum of biomarker research projects, this is a core reference for biomarker researchers, scientists working in proteomics and bioinformatics, pharmaceutical scientists, oncologists, biochemists, biologists, and chemists.

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.

Cancer Prevention and Screening offers physicians and all clinical healthcare professionals a comprehensive, useful source of the latest information on cancer screening and prevention with both a global and a multidisciplinary perspective. Includes background information on epidemiology, cancer prevention, and cancer screening, for quick reference Offers the latest information for clinical application of the most recent techniques in prevention and screening of all major and many lesser cancer types Emphasises the importance of multidisciplinary teamwork in cancer screening Highlights frequent dilemmas and difficulties encountered during cancer screening Provides clear-cut clinical strategies for optimal patient education, communication, and compliance with cancer prevention techniques

Fundamentals of Cancer Detection, Treatment, and Prevention The professional guide to cancer diagnosis and therapy for researchers and clinicians In Fundamentals of Cancer Detection, Treatment, and Prevention, distinguished researcher Surya K. De delivers a concise and authoritative guide to cancer treatment, diagnosis, and prevention. The book offers a comprehensive overview of cancer in humans, from its causes, symptoms, and diagnosis to the variety of treatment options available today. Intuitively organized by cancer type, this guide provides concise information on risk factors, diagnosis, and treatment options for all commonly encountered tumors, including surgery, radiation therapy, chemotherapy, and immunotherapy. All US FDA-approved drugs—like small molecules, peptides, monoclonal antibodies, whole antibodies, gene therapy, antibody-drug conjugates, and cell therapies—are considered, and information about their generic and brand names, clinical uses, and mechanisms of action is presented. Readers will also find: A thorough overview of human cancers, including cancer risk factors and possible preventions Comprehensive explorations of bladder, blood, brain, and spinal cord cancers Practical discussions of breast, colorectal, cervical, kidney, and liver cancer In-depth examinations of lung, skin, ovarian, vaginal, vulvar, pancreatic, and prostate cancers, as well as mesothelioma Perfect for pharmaceutical chemists, oncologists, pharmacologists, and medicinal chemists, Fundamentals of Cancer Detection, Treatment, and Prevention is an indispensable guide for professional researchers, whether they are working in the clinic or the pharmaceutical industry.

Research evidence concerning the precursors (a sign or symptom that heralds another) and prodromes (an early or premonitory symptom of a disease) of the various mental disorders is growing but is at present widely dispersed and inaccessible. Clinicians have to rely on their own experience, which is often limited, when faced with several delicate diagnostic and treatment issues. This book aims to approach for the first time in a comprehensive way this emerging area of clinical psychiatry. The World Health Organisation has found that mental disorders such as depression and psychosis rank in the top 10 of leading causes of disability in the world, creating a significant social, emotional and economic burden for young people, their families and society. Early detection of these potentially disabling disorders and treatment at the time of initial onset can greatly improve long-term outcomes and effect dramatic cost-savings. The related Birchwood title has sold nearly 2300 copies and is popular at psychiatry conferences. From an R&D perspective, industry have a stake in this area. Obviously, if biomarkers or other prodromal evidence can be determined in various disorders, then drugs will start to be dispensed earlier. The topic has increased in popularity as a subject for satellite symposia e.g Jeffrey Lieberman chaired the Bristol Myers Squibb symposia at the American Psychiatric Association. This dealt with early intervention in schizophrenia and the need for novel approaches in the prodromal phase. In addition, more symposia (and research) look at disorders «across the lifespan.» This phrase indicates an approach to research, diagnosis and treatment from a more quality-of-life vantage and early diagnosis is part of this movement.

This book provides an introduction to the field of biomarkers, how they have been and can be used, and how different approaches can be used to identify, characterize, and monitor biomarkers. The book has chapters on topics including HIV, Cancer, Parkinson’s, vascular injury, environmental exposure. A following section discusses the technologies (diagnostics and assays) to detect biomarkers and authors have emphasized the preclinical and clinical manifestation of the injury/disease process.

Biomarkers in Heart Disease is the first title in the AHA Clinical Series and is aimed at meeting the needs of clinicians, providing cardiologists, internists, emergency physicians, laboratorians, and other healthcare providers with a clear understanding of the role of biomarkers in contemporary cardiovascular medicine. The book covers both the strengths and pitfalls of currently available markers, and provides information on the most promising biomarkers that are likely to impact practice in the next few years. It is divided into four parts, organized around clinical scenarios rather than individual biomarkers. This book will help the practicing physician decide which biomarkers to measure, when to measure them, how to interpret the results and how to make decisions based on the test result.

Object detection, tracking and recognition in images are key problems in computer vision. This book provides the reader with a balanced treatment between the theory and practice of selected methods in these areas to make the book accessible to a range of researchers, engineers, developers and postgraduate students working in computer vision and related fields. Key features: Explains the main theoretical ideas behind each method (which are augmented with a rigorous mathematical derivation of the formulas), their implementation (in C++) and demonstrated working in real applications. Places an emphasis on tensor and statistical based approaches within object detection and recognition. Provides an overview of image clustering and classification methods which includes subspace and kernel based processing, mean shift and Kalman filter, neural networks, and k-means methods. Contains numerous case study examples of mainly automotive applications. Includes a companion website hosting full C++ implementation, of topics presented in the book as a software library, and an accompanying manual to the software platform.