Oncogenomics

This book aims to assemble the only available rigorous, yet broadly accessible introduction to this new and exciting field. Oncogenomics: Molecular Approaches to Cancer is approachable by basic scientists, practitioners, and other health professionals required to familiarize themselves with the tremendous impact of genomics and proteomics on cancer research. Clearly written chapters offer reviews of state of the art topics such as molecular classification, early detection, SNPs in cancer, data mining, tissue microarrays, protein and antibody arrays, and drug targets.

Oncogenomics: From Basic Research to Precision Medicine offers a thorough survey of precision medicine and its diagnostic and therapeutic applications in oncology. Gathering contributions from leading international researchers in the field, chapters examine recent translational advances in oncogenomic methods and technologies, detailing novel molecular classifications of tumors as well as diagnostic and prognostic biomarkers for various types of cancers including pancreatic, gastrointestinal, breast, hematological, lung, osteotropic, genitourinary, and skin cancers. This book provides a foundation for clinical oncologists, human geneticists, and physicians to develop new targeted cancer treatments and incorporate genomic medicine into clinical practice, with particular attention paid to noninvasive diagnostic techniques such as the liquid biopsy and molecular characterization of solid malignancies. Provides clinical oncologists, human geneticists, physicians, and students with a thorough understanding of current diagnostic and prognostic applications of genomic methods and technologies to a variety of solid malignancies Employs current knowledge in oncogenomics towards developing therapeutic interventions for various cancer types Features a team of internationally recognized researchers and physicians in clinical oncology, oncogenomics and precision medicine

An integrated overview of cancer drug discovery and development from the bench to the clinic, showing with broad strokes and representative examples the drug development process as a network of linked components leading from the discovered target to the ultimate therapeutic product. Following a systems biology approach, the authors explain genomic databases and how to discover oncological targets from them, how then to advance from the gene and transcript to the level of protein biochemistry, how next to move from the chemical realm to that of the living cell and, ultimately, pursue animal modeling and clinical development. Emerging cancer therapeutics including Ritux an, Erbitux, Gleevec Herceptin, Avastin, ABX-EGF, Velcade, Kepivance, Iressa, Tarceva, and Zevalin are addressed. Highlights include cancer genomics, pharmacogenomics, transcriptomics, gene expression analysis, proteomic and enzymatic cancer profiling technologies, and cellular and animal approaches to cancer target validation.

This book is an accessible resource offering practical information not found in more database-oriented resources. The first chapter lists acronyms with definitions, and a glossary of terms and subjects used in biochemistry, molecular biology, biotechnology, proteomics, genomics, and systems biology. There follows chapters on chemicals employed in biochemistry and molecular biology, complete with properties and structure drawings. Researchers will find this book to be a valuable tool that will save them time, as well as provide essential links to the roots of their science. Key selling features: Contains an extensive list of commonly used acronyms with definitions Offers a highly readable glossary for systems and techniques Provides comprehensive information for the validation of biotechnology assays and manufacturing processes Includes a list of Log P values, water solubility, and molecular weight for selected chemicals Gives a detailed listing of protease inhibitors and cocktails, as well as a list of buffers

Translational medicine was first mentioned in 1992 by Choi D. W and has since become a rapidly expanding area within biomedical research. It is based on the ‘bench to bedside’ approach, which describes it’s relationship between basic science and clinical practice. In 2008, Drs Conway and Dougherty provided a 3 step process to translational medicine and how it should be implemented to transform healthcare systems. The first step is the translation of basic science into clinical research (T1). The second step (T2) focuses on making healthcare more patient specific, basing itself on providing ‘the right treatment for the right patient in the right way at the right time’. T2 also looks for this science to be translated into practice guidelines for clinicians, policy makers and the patients themselves. The final step (T3) addresses the ‘how’ of implementing these ideas, so that high quality healthcare can be delivered reliably to all patients in all settings of care. T3 activities would include policy changes that could serve to bring about meaningful change towards this goal. Cancer is a major public health problem worldwide. Clarifying the etiology and pathogenesis of cancer is of great significance to the prevention, diagnosis, and treatment of the disease. The bench to bedside pattern can be a useful method for cancer-related studies. This Research Topic aims to highlight the emerging role of oncogenetics in cancer, and discuss potential challenges of diagnosis and treatment, from the bench to the bedside.

Primary liver cancer is the third most deadly and fifth most common cancer worldwide (~500,000 deaths annually), with a sharp increase of incidence in the United States in recent years. Hepatocellular carcinoma (HCC) and cholangiocarcinoma (CC) are the major types of primary liver cancer. Risk factors include gender, hepatitis B virus (HBV), hepatitis C virus (HCV), cirrhosis, metabolism diseases, diabetes, obesity, toxins, excess alcohol consumption and smoking. Liver cancer arises most frequently in inflammatory livers with extensive oxidative stress due to viral hepatitis which causes over 80% of HCC cases worldwide. Currently, survival remains dismal for most HCC and CC patients, largely due to the tumor’s aggressiveness at the time of diagnosis and the lack of effective therapy.

Clinical Applications for Next Generation Sequencing provides readers with an outstanding postgraduate resource to learn about the translational use of NGS in clinical environments. Rooted in both medical genetics and clinical medicine, the book fills the gap between state-of-the-art technology and evidence-based practice, providing an educational opportunity for users to advance patient care by transferring NGS to the needs of real-world patients. The book builds an interface between genetic laboratory staff and clinical health workers to not only improve communication, but also strengthen cooperation. Users will find valuable tactics they can use to build a systematic framework for understanding the role of NGS testing in both common and rare diseases and conditions, from prenatal care, like chromosomal abnormalities, up to advanced age problems like dementia. Fills the gap between state-of-the-art technology and evidence-based practice Provides an educational opportunity which advances patient care through the transfer of NGS to real-world patient assessment Promotes a practical tool that clinicians can apply directly to patient care Includes a systematic framework for understanding the role of NGS testing in many common and rare diseases Presents evidence regarding the important role of NGS in current diagnostic strategies

This book provides an overview of the current state of research on development and application of methods, algorithms, tools and systems associated with the studies on man-machine interaction. Modern machines and computer systems are designed not only to process information, but also to work in dynamic environment, supporting or even replacing human activities in areas such as business, industry, medicine or military. The interdisciplinary field of research on man-machine interactions focuses on broad range of aspects related to the ways in which human make or use computational artifacts, systems and infrastructure. This monograph is the fourth edition in the series and presents new concepts concerning analysis, design and evaluation of man-machine systems. The selection of high-quality, original papers covers a wide scope of research topics focused on the main problems and challenges encountered within rapidly evolving new forms of human-machine relationships. The presented material is structured into following sections: human-computer interfaces, robot, control, embedded and navigation systems, bio-data analysis and mining, biomedical signal processing, image and motion data processing, decision support and expert systems, pattern recognition, fuzzy systems, algorithms and optimisation, computer networks and mobile technologies, and data management systems.