Download or read book Omics Technologies in Cancer Biomarker Discovery written by Xuewu Zhang and published by CRC Press. This book was released on 2011-03-10 with total page 150 pages. Available in PDF, EPUB and Kindle. Book excerpt: The early detection of human cancer is still one of the great challenges in the battle against this disease. Single biomarkers are not likely to provide sufficient diagnostic power and multibiomarker assays should be developed in order to reach high diagnostic accuracy for cancer screening at the population level. Omics technologies are emerging ne

Download or read book Evolution of Translational Omics written by Institute of Medicine and published by National Academies Press. This book was released on 2012-09-13 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Technologies collectively called omics enable simultaneous measurement of an enormous number of biomolecules; for example, genomics investigates thousands of DNA sequences, and proteomics examines large numbers of proteins. Scientists are using these technologies to develop innovative tests to detect disease and to predict a patient's likelihood of responding to specific drugs. Following a recent case involving premature use of omics-based tests in cancer clinical trials at Duke University, the NCI requested that the IOM establish a committee to recommend ways to strengthen omics-based test development and evaluation. This report identifies best practices to enhance development, evaluation, and translation of omics-based tests while simultaneously reinforcing steps to ensure that these tests are appropriately assessed for scientific validity before they are used to guide patient treatment in clinical trials.

Download or read book An Omics Perspective on Cancer Research written by William C.S. Cho and published by Springer Science & Business Media. This book was released on 2010-04-07 with total page 269 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Omics Approaches in Breast Cancer written by Debmalya Barh and published by Springer. This book was released on 2014-10-13 with total page 559 pages. Available in PDF, EPUB and Kindle. Book excerpt: Breast cancer is the most common cancer in females that accounts for highest cancer specific deaths worldwide. In the last few decades research has proven that breast cancer can be treated if diagnosed at early stages and proper therapeutic strategy is adopted. Omics-based recent approaches have unveiled the molecular mechanism behind the breast tumorigenesis and aid in identification of next-generation molecular markers for early diagnosis, prognosis and even the effective targeted therapy. Significant development has taken place in the field of omics in breast cancer in the last decade. The most promising omics approaches and their outcomes in breast cancer have been presented in this book for the first time. The book covers omics technologies and budding fields such as breast cancer miRNA, lipidomics, epigenomics, proteomics, nutrigenomics, stem cell, pharmacogenomics and personalized medicine and many more along with conventional topics such as breast cancer management etc. It is a research-based reference book useful for clinician-scientists, researchers, geneticists and health care industries involved in various aspects of breast cancer. The book will also be useful for students of biomedicine, pathology and pharmacy.

Download or read book The Handbook of Biomarkers written by Kewal K. Jain and published by Humana Press. This book was released on 2017-09-16 with total page 765 pages. Available in PDF, EPUB and Kindle. Book excerpt: Involved in nearly every therapeutic area, particularly cancer, biomarkers have experienced tremendous advances since the first edition of this book, both in the discovery of biomarkers and in their applications. To aid in this imperative research, Prof. Kewal K. Jain’s Handbook of Biomarkers, Second Edition features a full revision and additional chapters to thoroughly describe many different types of biomarkers and their discovery using various "-omics" technologies, along with the background information needed for the evaluation of biomarkers as well as the essential procedures for their validation and use in clinical trials. With biomarkers described first according to technologies and then according to various diseases, this detailed book features the key correlations between diseases and classifications of biomarkers, which provides the reader with a guide to sort out current and future biomarkers. Comprehensive and cutting-edge, The Handbook of Biomarkers, Second Edition serves as a vital guide to furthering our understanding of biomarkers, which, by facilitating the combination of therapeutics with diagnostics, promise to play an important role in the development of personalized medicine, one of the most important trends in healthcare today.

Download or read book Biomarker Discovery in the Developing World Dissecting the Pipeline for Meeting the Challenges written by Sanjeeva Srivastava and published by Springer. This book was released on 2016-09-30 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is oriented towards post-graduates and researchers with interest in proteomics and its applications in clinical biomarker discovery pipeline. Biomarker discovery has long been the research focus of many life scientists globally. However, the pipeline starting from discovery to validation to regulation as a diagnostic or therapeutic molecule follows a complex trajectory. This book aims to provide an in-depth synopsis on each of these developmental phases attendant to biomarker “life cycle” with emphasis on the emerging and significant role of proteomics. The book begins with a perspective on the role of biorepositories and need for biobanking practices in the developing world. The next chapter focuses on disease heterogeneity in context to geographical bias towards susceptibility to the disease and the role of multi-omics techniques to devise disruptive innovations towards biomarker discovery. Chapter 3 focuses on various omics-based platforms that are currently being used for biomarker discovery, their principles and workflow. Mass spectrometry is emerging as a powerful technology for discovery based studies and targeted validation. Chapter 4 aims at providing a glimpse of the basic workflow and considerations in mass spectrometry based studies. Rapid and aptly targeted research funding has often been deemed as one of the decisive factors enabling excellent science and path breaking innovations. With the need for sophistication required in multi-omics research, Chapter 5 focuses on innovative funding strategies such as crowdfunding and Angel philanthropy. Chapter 6 provides the latest advances in education innovation, the premise and reality of bioeconomy especially in a specific context of the developing world, not to mention the new concept of “social innovation” to link biomarkers with socially responsible and sustainable applications. Chapter 7, in ways similar to biomarkers, discusses the biosimilars as a field that has received much focus and prominence recently due to their immense potential in clinical and pharmaceutical innovation literatures. The broader goal post-biomarker discovery is to translate their use in clinics. However, the road from bench-to-bed side is arduous and complex that is subject to oversight from various national and international regulatory bodies. Chapter 8 underscores these regulatory science considerations and provides a concise overview on intellectual property rights in biomarker discovery. Thus, this book contributed by eminent biomarker scientists, clinicians, translational researchers and social scientists holistically covers the various facets of the biomarker discovery journey from “cell to society” in developing world. The lessons learned and highlighted here are of interest to the life sciences community in a global and interdependent world.

Download or read book Cancer Genomics written by Janet E. Dancey and published by Elsevier Inc. Chapters. This book was released on 2013-11-21 with total page 37 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many hope that the promise that “omics” science holds for medicine will be realized through the development of better biomarkers for patient management. However, the development of omic technologies magnifies the issues and challenges of performing high quality biomarker studies. The complexity of these technologies and of the resulting high-dimensional data require rigorous technical, statistical, bioinformatics, laboratory, and clinical procedures to develop, evaluate and validate these tests. A number of considerations are key to the design and successful execution of genomic biomarker studies. These include the assessment of (1) the complexity and heterogeneity of cancer samples, (2) the quality and quantity of tumor specimens, (3) the potential bias inherent in the assays, (4) the availability of appropriatecontrols or standards, (5) technical validation of assays and bioinformatics analysis, and (6) the validity of the final interpretation of results. In this chapter, we review these key considerations required to design and conduct biomarker studies that will yield results that can confidently inform future clinical research and clinical practice.

Download or read book Cancer Subtyping Detection Using Biomarker Discovery in Multi Omics Tensor Datasets written by Farnoosh Koleini and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This thesis begins with a thorough review of research trends from 2015 to 2022, examining the challenges and issues related to biomarker discovery in multi-omics datasets. The review covers areas of application, proposed methodologies, evaluation criteria used to assess performance, as well as limitations and drawbacks that require further investigation and improvement. This comprehensive overview serves to provide a deeper understanding of the current state of research in this field and the opportunities for future research. It will be particularly useful for those who are interested in this area of study and seeking to expand their knowledge. In the second part of this thesis, a novel methodology is proposed for the identification of significant biomarkers in a multi-omics colon cancer dataset. The integration of clinical features with biomarker discovery has the potential to facilitate the early identification of mortality risk and the development of personalized therapies for a range of diseases, including cancer and stroke. Recent advancements in "omics" technologies have opened up new avenues for researchers to identify disease biomarkers through system-level analysis. Machine learning methods, particularly those based on tensor decomposition techniques, have gained popularity due to the challenges associated with integrative analysis of multi-omics data owing to the complexity of biological systems. Despite extensive efforts towards discovering disease-associated biomolecules by analyzing data from various "omics" experiments, such as genomics, transcriptomics, and metabolomics, the poor integration of diverse forms of 'omics' data has made the integrative analysis of multi-omics data a daunting task. Our research includes ANOVA simultaneous component analysis (ASCA) and Tucker3 modeling to analyze a multivariate dataset with an underlying experimental design. By comparing the spaces spanned by different model components we showed how the two methods can be used for confirmatory analysis and provide complementary information. we demonstrated the novel use of ASCA to analyze the residuals of Tucker3 models to find the optimum one. Increasing the model complexity to more factors removed the last remaining ASCA detectable structure in the residuals. Bootstrap analysis of the core matrix values of the Tucker3 models used to check that additional triads of eigenvectors were needed to describe the remaining structure in the residuals. Also, we developed a new simple, novel strategy for aligning Tucker3 bootstrap models with the Tucker3 model of the original data so that eigenvectors of the three modes, the order of the values in the core matrix, and their algebraic signs match the original Tucker3 model without the need for complicated bookkeeping strategies or performing rotational transformations. Additionally, to avoid getting an overparameterized Tucker3 model, we used the bootstrap method to determine 95% confidence intervals of the loadings and core values. Also, important variables for classification were identified by inspection of loading confidence intervals. The experimental results obtained using the colon cancer dataset demonstrate that our proposed methodology is effective in improving the performance of biomarker discovery in a multi-omics cancer dataset. Overall, our study highlights the potential of integrating multi-omics data with machine learning methods to gain deeper insights into the complex biological mechanisms underlying cancer and other diseases. The experimental results using NIH colon cancer dataset demonstrate that the successful application of our proposed methodology in cancer subtype classification provides a foundation for further investigation into its utility in other disease areas.

Download or read book Cancer Biomarkers written by Mahmoud H. Hamdan and published by John Wiley & Sons. This book was released on 2007-04-23 with total page 408 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Download or read book Developing Biomarker Based Tools for Cancer Screening Diagnosis and Treatment written by Institute of Medicine and published by National Academies Press. This book was released on 2006-10-18 with total page 112 pages. Available in PDF, EPUB and Kindle. Book excerpt: Research has long sought to identify biomarkers that could detect cancer at an early stage, or predict the optimal cancer therapy for specific patients. Fueling interest in this research are recent technological advances in genomics, proteomics, and metabolomics that can enable researchers to capture the molecular fingerprints of specific cancers and fine-tune their classification according to the molecular defects they harbor. The discovery and development of new markers of cancer could potentially improve cancer screening, diagnosis, and treatment. Given the potential impact cancer biomarkers could have on the cost effectiveness of cancer detection and treatment, they could profoundly alter the economic burden of cancer as well. Despite the promise of cancer biomarkers, few biomarker-based cancer tests have entered the market, and the translation of research findings on cancer biomarkers into clinically useful tests seems to be lagging. This is perhaps not surprising given the technical, financial, regulatory, and social challenges linked to the discovery, development, validation, and incorporation of biomarker tests into clinical practice. To explore those challenges and ways to overcome them, the National Cancer Policy Forum held the conference "Developing Biomarker-Based Tools for Cancer Screening, Diagnosis and Treatment: The State of the Science, Evaluation, Implementation, and Economics" in Washington, D.C., from March 20 to 22, 2006. At this conference, experts gave presentations in one of six sessions. In addition, seven small group discussions explored the policy implications surrounding biomarker development and adoption into clinical practice. Developing Biomarker-based Tools for Developing Cancer Screening, Diagnosis, and Treatment: The State of the Science, Evaluation, Implementation, and Economics-Workshop Summary presents the conference proceedings and will be used by an Institute of Medicine (IOM) committee to develop consensus-based recommendations for moving the field of cancer biomarkers forward.

Download or read book Computational Toxicology written by Hong Fang and published by Elsevier Inc. Chapters. This book was released on 2013-06-04 with total page 35 pages. Available in PDF, EPUB and Kindle. Book excerpt: Current advances in genomics, proteomics, and metabolomics are widely anticipated to translate in the future to a constellation of benefits in human health. However, few biomarkers for risk assessment using “omics” technologies have been reported in the last decade. Nevertheless, the potential application for omics technologies is tremendous. The use of biomarker-based monitoring approaches as a tool for environmental risk assessment is often critically limited by a lack of integrated bioinformatics approaches, statistical analyses, and predictive models. In this chapter we discuss the key steps for omics biomarker discovery and also present the use of the decision forest (DF) classification method as an example with specific application to microarray gene expression data, proteomics, and SNP genotypic data. An integrated bioinformatics approach with the correct choice of samples, omics technologies, and statistical techniques will allow the development of powerful new biomarkers for safety assessment.

Download or read book Cancer Biomarkers written by Debmalya Barh and published by CRC Press. This book was released on 2014-01-30 with total page 992 pages. Available in PDF, EPUB and Kindle. Book excerpt: Gleaning information from more than 100 experts in the field of cancer diagnosis, prognosis, and therapy worldwide, Cancer Biomarkers: Non-Invasive Early Diagnosis and Prognosis determines the significance of clinical validation approaches for several markers. This book examines the use of noninvasive or minimally invasive molecular cancer markers that are under development or currently in use. It deals with a majority of commonly prevalent cancers and can help anyone working in the health-care industry to recommend or develop early diagnostics, at-risk tests, and prognostic biomarkers for various cancers. It explores the practice of determining biomarkers by their characteristics and relative methodologies, and presents the most recent data as well as a number of current and upcoming early diagnostic noninvasive molecular markers for many common cancers. It also considers the sensitivity and specificity of markers, biomarker market, test providers, and patent information. Approximately 30-35 Cancer Specific Noninvasive Molecular Diagnostic Markers in a Single Volume The book details the general and technical aspects of noninvasive cancer markers. It covers imaging, cutting-edge molecular technologies for biomarker development, and noninvasive or minimally invasive sources of molecular markers, as well as quality control and ethical issues in cancer biomarker discovery. It also provides a detailed account of brain, head and neck, and oral cancer markers, and provides information on a number of gastrointestinal cancers, lung cancer, and mesothelioma markers. Emphasizes the Importance of Volatile Markers in Early Cancer Diagnosis Presents noninvasive early molecular markers in urological cancers Describes gynecological and endocrine cancer markers Details noninvasive markers of breast, ovarian, cervical, and thyroid cancers Addresses hematological malignancies Contains information on noninvasive molecular markers in myelodysplastic syndromes, acute myeloid leukemia, Hodgkin’s lymphoma, and multiple myeloma Provides comprehensive information on diagnostic and prognostic biomarkers in cutaneous melanoma This text considers molecular technologies for biomarker development, noninvasive or minimally invasive sources of molecular markers, and quality control and ethical issues in cancer biomarker discovery.

Download or read book Cancer Biomarkers written by Institute of Medicine and published by National Academies Press. This book was released on 2007-03-27 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many cancer patients are diagnosed at a stage in which the cancer is too far advanced to be cured, and most cancer treatments are effective in only a minority of patients undergoing therapy. Thus, there is tremendous opportunity to improve the outcome for people with cancer by enhancing detection and treatment approaches. Biomarkers will be instrumental in making that transition. Advances in biotechnology and genomics have given scientists new hope that biomarkers can be used to improve cancer screening and detection, to improve the drug development process, and to enhance the effectiveness and safety of cancer care by allowing physicians to tailor treatment for individual patients—an approach known as personalized medicine. However, progress overall has been slow, despite considerable effort and investment, and there are still many challenges and obstacles to overcome before this paradigm shift in oncology can become a reality.

Download or read book Systems Biology of Cancer written by Sam Thiagalingam and published by Cambridge University Press. This book was released on 2015-04-09 with total page 597 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.

Download or read book Translational Research and Onco Omics Applications in the Era of Cancer Personal Genomics written by Erika Ruiz-Garcia and published by Springer Nature. This book was released on 2019-11-11 with total page 171 pages. Available in PDF, EPUB and Kindle. Book excerpt: Being a complex disease that affects millions of people world over, cancer research has assumed great significance. Translational cancer research transforms scientific discoveries in the laboratory into clinical application to reduce incidence of cancer, morbidity and mortality. On the other hand, personalized medicine in cancer is the concept that selection of a treatment should be tailored according to the individual patient’s specific genomic characteristics, including mutations, chromosomal aberrations, protein interactions, and SNPs, and even more, taking into account the inmume system, the metabolism and maybe in the next future also the microbiome.

Download or read book Biomarker Discovery Using Urinary Metabolomics for Noninvasive Early Cancer Detection written by Casey Franklin Burton and published by . This book was released on 2017 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The development of new screening methods for the early detection of cancer remains one of the foremost challenges facing modern cancer research. The emergence of new analytical technologies and their application to 'omics'-based approaches has provided researchers with powerful new tools for molecular biomarker discovery that may benefit early screening of cancer. This dissertation outlines several key advances made toward the application of urinary metabolomics to cancer biomarker discovery. The term urinary metabolomics here refers to the investigation of small metabolites in urine as potential disease biomarkers. The advantage of using this approach lies in its noninvasive sampling characteristics and robust analytical feasibility. The dissertation begins with the development of two analytical methods for the determination of sarcosine in urine for the early detection of prostate cancer. The next three papers discuss the analytical challenges facing the determination of pteridine derivatives in biological samples and present a new method to adjust their levels to patient hydration status and time since last urination. Briefly, pteridines and their derivatives function as intermediates in the metabolism of various vitamins and cofactors, where altered levels of pteridines have been reported in the urine of patients with several types of epithelial cancers, among other diseases. The following paper explores the possibility of using urinary metals as potential cancer biomarkers in a proof-of-concept study. The final two papers investigate the biological variation of urinary pteridines in order to better understand how urinary metabolites naturally fluctuate, and apply this information to a new method for the comprehensive determination of pteridine derivatives in urine. Taken together, this body of research presents new opportunities and challenges in the discovery of new cancer biomarkers"--Abstract, page iv.

Download or read book The Handbook of Biomarkers written by Kewal K. Jain and published by Springer Science & Business Media. This book was released on 2010-02-06 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: Of the thousands of biomarkers that are currently being discovered, relatively few are being validated for further applications, and the potential of a biomarker can be quite difficult to evaluate. To aid in this imperative research, Dr. Kewal K. Jain’s Handbook of Biomarkers thoroughly describes many different types of biomarkers and their discovery using various "-omics" technologies, such as proteomics and metabolomics, along with the background information needed for the evaluation of biomarkers as well as the essential procedures for their validation and use in clinical trials. With biomarkers described first according to technologies and then according to various diseases, this detailed book features the key correlations between diseases and classifications of biomarkers, which provides the reader with a guide to sort out current and future biomarkers. Comprehensive and cutting-edge, The Handbook of Biomarkers serves as a vital guide to furthering our understanding of biomarkers, which, by facilitating the combination of therapeutics with diagnostics, promise to play an important role in the development of personalized medicine, one of the most important emerging trends in healthcare today.