Systems And Integrative Approaches In Oncogenomics
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Author | : William J. LaRochelle |
Publisher | : Springer Science & Business Media |
Total Pages | : 745 |
Release | : 2007-11-09 |
Genre | : Medical |
ISBN | : 1592598935 |
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.
Author | : Charles Brenner |
Publisher | : John Wiley & Sons |
Total Pages | : 411 |
Release | : 2004-11-19 |
Genre | : Medical |
ISBN | : 0471476641 |
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.
Author | : Franco Dammacco |
Publisher | : Academic Press |
Total Pages | : 722 |
Release | : 2018-10-30 |
Genre | : Science |
ISBN | : 0128117869 |
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
Author | : |
Publisher | : Academic Press |
Total Pages | : 1571 |
Release | : 2020-08-24 |
Genre | : Science |
ISBN | : 0128160780 |
Technological advances in generated molecular and cell biological data are transforming biomedical research. Sequencing, multi-omics and imaging technologies are likely to have deep impact on the future of medical practice. In parallel to technological developments, methodologies to gather, integrate, visualize and analyze heterogeneous and large-scale data sets are needed to develop new approaches for diagnosis, prognosis and therapy. Systems Medicine: Integrative, Qualitative and Computational Approaches is an innovative, interdisciplinary and integrative approach that extends the concept of systems biology and the unprecedented insights that computational methods and mathematical modeling offer of the interactions and network behavior of complex biological systems, to novel clinically relevant applications for the design of more successful prognostic, diagnostic and therapeutic approaches. This 3 volume work features 132 entries from renowned experts in the fields and covers the tools, methods, algorithms and data analysis workflows used for integrating and analyzing multi-dimensional data routinely generated in clinical settings with the aim of providing medical practitioners with robust clinical decision support systems. Importantly the work delves into the applications of systems medicine in areas such as tumor systems biology, metabolic and cardiovascular diseases as well as immunology and infectious diseases amongst others. This is a fundamental resource for biomedical students and researchers as well as medical practitioners who need to need to adopt advances in computational tools and methods into the clinical practice. Encyclopedic coverage: ‘one-stop’ resource for access to information written by world-leading scholars in the field of Systems Biology and Systems Medicine, with easy cross-referencing of related articles to promote understanding and further research Authoritative: the whole work is authored and edited by recognized experts in the field, with a range of different expertise, ensuring a high quality standard Digitally innovative: Hyperlinked references and further readings, cross-references and diagrams/images will allow readers to easily navigate a wealth of information
Author | : Raghu Sinha |
Publisher | : MDPI |
Total Pages | : 272 |
Release | : 2021-08-18 |
Genre | : Science |
ISBN | : 3036514724 |
This book includes original research articles and reviews to update readers on the state of the art systems approach to not only discover novel diagnostic and prognostic biomarkers for several cancer types, but also evaluate methodologies to map out important genomic signatures. In addition, therapeutic targets and drug repurposing have been emphasized for a variety of cancer types. In particular, new and established researchers who desire to learn about cancer systems biology and why it is possibly the leading front to a personalized medicine approach will enjoy reading this book.
Author | : Zhiwei Ji |
Publisher | : Frontiers Media SA |
Total Pages | : 203 |
Release | : 2021-11-30 |
Genre | : Science |
ISBN | : 2889717178 |
Author | : Malcolm Atkinson |
Publisher | : John Wiley & Sons |
Total Pages | : 423 |
Release | : 2013-03-19 |
Genre | : Computers |
ISBN | : 1118540301 |
Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first time a new systematic approach for tackling the challenges of data-intensive computing, providing decision makers and technical experts alike with practical tools for dealing with our exploding data collections. Emphasizing data-intensive thinking and interdisciplinary collaboration, The Data Bonanza: Improving Knowledge Discovery in Science, Engineering, and Business examines the essential components of knowledge discovery, surveys many of the current research efforts worldwide, and points to new areas for innovation. Complete with a wealth of examples and DISPEL-based methods demonstrating how to gain more from data in real-world systems, the book: Outlines the concepts and rationale for implementing data-intensive computing in organizations Covers from the ground up problem-solving strategies for data analysis in a data-rich world Introduces techniques for data-intensive engineering using the Data-Intensive Systems Process Engineering Language DISPEL Features in-depth case studies in customer relations, environmental hazards, seismology, and more Showcases successful applications in areas ranging from astronomy and the humanities to transport engineering Includes sample program snippets throughout the text as well as additional materials on a companion website The Data Bonanza is a must-have guide for information strategists, data analysts, and engineers in business, research, and government, and for anyone wishing to be on the cutting edge of data mining, machine learning, databases, distributed systems, or large-scale computing.
Author | : Aman Chandra Kaushik |
Publisher | : Royal Society of Chemistry |
Total Pages | : 304 |
Release | : 2023-09-08 |
Genre | : Science |
ISBN | : 1839166045 |
The cost of drug development is increasing, and investment returns are decreasing. The number of drugs approved by FDA is in decline in terms of the number of new molecular entities (NMEs). Amongst the reasons noted for this are the adverse side effects and reduced efficiency of many of the potential compounds. This is a problem both for the pharmaceutical industry and for those suffering from diseases for which there are no or few available treatments. Advances in computational chemistry, computer science, structural biology and molecular biology have all contributed to improved drug design strategies and reduced the time taken for drug discovery. By interfacing cheminformatics and bioinformatics with systems biology we can create a powerful tool for understanding the mechanisms of patho-physiological systems and identifying lead molecules for various diseases. This integration of drug design approaches can also play a crucial role in the prediction and rationalization of drug effects and side effects, improving safety and efficacy and leading to better approval rates. Addressing the lack of knowledge on the fundamental aspects of the various computational tools for drug discovery, this book is a compilation of recent bioinformatics and cheminformatics approaches, and their integration with systems biology. Written primarily for researchers and academics in chem- and bioinformatics, it may also be a useful resource for advanced-level students.
Author | : Xin Wei Wang |
Publisher | : Springer Science & Business Media |
Total Pages | : 390 |
Release | : 2010-11-08 |
Genre | : Medical |
ISBN | : 1441960821 |
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.
Author | : Chiara Romualdi |
Publisher | : Frontiers Media SA |
Total Pages | : 187 |
Release | : 2020-12-03 |
Genre | : Medical |
ISBN | : 2889661512 |
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