Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Systematic Identification Of Novel Diagnostic And Prognostic Tumor Biomarkers Based On Multi Omics Data Analysis Of Solid Tumors
Download Systematic Identification Of Novel Diagnostic And Prognostic Tumor Biomarkers Based On Multi Omics Data Analysis Of Solid Tumors full books in PDF, epub, and Kindle. Read online Systematic Identification Of Novel Diagnostic And Prognostic Tumor Biomarkers Based On Multi Omics Data Analysis Of Solid Tumors ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Book Synopsis Systematic identification of novel diagnostic and prognostic tumor biomarkers based on multi-omics data analysis of solid tumors by : Ming Jun Zheng
Download or read book Systematic identification of novel diagnostic and prognostic tumor biomarkers based on multi-omics data analysis of solid tumors written by Ming Jun Zheng and published by Frontiers Media SA. This book was released on 2024-01-08 with total page 342 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Identification of Multi-Biomarker for Cancer Diagnosis and Prognosis based on Network Model and Multi-omics Data by : Chunquan Li
Download or read book Identification of Multi-Biomarker for Cancer Diagnosis and Prognosis based on Network Model and Multi-omics Data written by Chunquan Li and published by Frontiers Media SA. This book was released on 2023-03-02 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Identification of immune-related biomarkers for cancer diagnosis based on multi-omics data by : Liang Cheng
Download or read book Identification of immune-related biomarkers for cancer diagnosis based on multi-omics data written by Liang Cheng and published by Frontiers Media SA. This book was released on 2023-02-02 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis New Prognostic and Predictive Markers in Cancer Progression by : Susan Costantini Alfredo Budillon
Download or read book New Prognostic and Predictive Markers in Cancer Progression written by Susan Costantini Alfredo Budillon and published by MDPI. This book was released on 2021-02-12 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomarkers are of critical medical importance for oncologists, allowing them to predict and detect disease and to determine the best course of action for cancer patient care. Prognostic markers are used to evaluate a patient’s outcome and cancer recurrence probability after initial interventions such as surgery or drug treatments and, hence, to select follow-up and further treatment strategies. On the other hand, predictive markers are increasingly being used to evaluate the probability of benefit from clinical intervention(s), driving personalized medicine. Evolving technologies and the increasing availability of “multiomics” data are leading to the selection of numerous potential biomarkers, based on DNA, RNA, miRNA, protein, and metabolic alterations within cancer cells or tumor microenvironment, that may be combined with clinical and pathological data to greatly improve the prediction of both cancer progression and therapeutic treatment responses. However, in recent years, few biomarkers have progressed from discovery to become validated tools to be used in clinical practice. This Special Issue comprises eight review articles and five original studies on novel potential prognostic and predictive markers for different cancer types.
Book Synopsis Biomarkers in Cancer Screening and Early Detection by : Sudhir Srivastava
Download or read book Biomarkers in Cancer Screening and Early Detection written by Sudhir Srivastava and published by John Wiley & Sons. This book was released on 2017-06-05 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: Prepared by world leaders on this topic, Biomarkers in Cancer Screening and Early Detection offers a comprehensive, state-of-the-art perspective on the various research and clinical aspects of cancer biomarkers, from their discovery and development to their validation, clinical utility, and use in developing personalized cancer treatment. Offers a comprehensive, state-of-the-art perspective on the various research and clinical aspects of cancer biomarkers Provides immediately actionable information and hopefully also inspiration to move discovery and clinical application forward Offers vital knowledge to help develop personalized cancer treatment for individual patients with specific cancers
Book Synopsis Biomarkers in Breast Cancer by : Giampietro Gasparini
Download or read book Biomarkers in Breast Cancer written by Giampietro Gasparini and published by Springer Science & Business Media. This book was released on 2008-01-17 with total page 335 pages. Available in PDF, EPUB and Kindle. Book excerpt: Expert laboratory and clinical researchers from around the world review how to design and evaluate studies of tumor markers and examine their use in breast cancer patients. The authors cover both the major advances in sophisticated molecular methods and the state-of-the-art in conventional prognostic and predictive indicators. Among the topics discussed are the relevance of rigorous study design and guidelines for the validation studies of new biomarkers, gene expression profiling by tissue microarrays, adjuvant systemic therapy, and the use of estrogen, progesterone, and epidermal growth factor receptors as both prognostic and predictive indicators. Highlights include the evaluation of HER2 and EGFR family members, of p53, and of UPA/PAI-1; the detection of rare cells in blood and marrow; and the detection and analysis of soluble, circulating markers.
Book Synopsis Recent Advancements in Biomarkers and Early Detection of Gastrointestinal Cancers by : Pallaval Veera Bramhachari
Download or read book Recent Advancements in Biomarkers and Early Detection of Gastrointestinal Cancers written by Pallaval Veera Bramhachari and published by Springer Nature. This book was released on 2020-07-21 with total page 238 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes various novel biomarkers for the early diagnosis of gastrointestinal (GI) cancers. It also highlights recent advances in understanding the role of molecular markers and biomarkers, such as volatile biomarkers, serum biomarkers, predictive and prognostic molecular markers for the early detection of GI cancers. Further, it discusses novel biomarkers, including circulating microRNAs, serum microRNA and plasma microRNA in GI cancer. The book presents breakthrough technologies like ultra-sensitive nano-chips, nanosensors, nanodevices, biosensors, electrochemical biosensors, optical biosensors, DNA biosensors, synthetic biology devices, and 'omics' technologies for the early diagnosis of gastrointestinal cancer. In addition it examines the potential of genome-wide association studies, big data analytics, computation biology, systems biology, and nanotechnology for early diagnostics and therapeutics for gastrointestinal cancer, with a focus on personalized cancer treatment. The book is a valuable source for researchers and clinicians engaged in detection and diagnosis of gastrointestinal cancers.
Book Synopsis Cancer Biomarkers by : Debmalya Barh
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.
Book Synopsis Developing Biomarker-Based Tools for Cancer Screening, Diagnosis, and Treatment by : Institute of Medicine
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 2006-11-18 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.
Book Synopsis Recognition of Multiomics-Based Molecule-Pattern Biomarker for Precise Prediction, Diagnosis, and Prognostic Assessment in Cancer by : Xianquan Zhan
Download or read book Recognition of Multiomics-Based Molecule-Pattern Biomarker for Precise Prediction, Diagnosis, and Prognostic Assessment in Cancer written by Xianquan Zhan and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cancer is a complex whole-body chronic disease, is involved in multiple causes, multiple processes, and multiple consequences, which are associated with a series of molecular alterations in the different levels of genome, transcriptome, proteome, metabolome, and radiome, with between-molecule mutual interactions. Those molecule-panels are the important resources to recognize the reliable molecular pattern biomarkers for precise prediction, diagnosis, and prognostic assessment in cancer. Pattern recognition is an effective methodology to identify those molecule-panels. The rapid development of computation biology, systems biology, and multiomics is driving the development of pattern recognition to discover reliable molecular pattern biomarkers for cancer treatment. This book chapter addresses the concept of pattern recognition and pattern biomarkers, status of multiomics-based molecular patterns, and future perspective in prediction, diagnosis, and prognostic assessment of a cancer.
Book Synopsis New Prognostic and Predictive Markers in Cancer Progression by : Susan Costantini
Download or read book New Prognostic and Predictive Markers in Cancer Progression written by Susan Costantini and published by . This book was released on 2021 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: Biomarkers are of critical medical importance for oncologists, allowing them to predict and detect disease and to determine the best course of action for cancer patient care. Prognostic markers are used to evaluate a patient's outcome and cancer recurrence probability after initial interventions such as surgery or drug treatments and, hence, to select follow-up and further treatment strategies. On the other hand, predictive markers are increasingly being used to evaluate the probability of benefit from clinical intervention(s), driving personalized medicine. Evolving technologies and the increasing availability of “multiomics” data are leading to the selection of numerous potential biomarkers, based on DNA, RNA, miRNA, protein, and metabolic alterations within cancer cells or tumor microenvironment, that may be combined with clinical and pathological data to greatly improve the prediction of both cancer progression and therapeutic treatment responses. However, in recent years, few biomarkers have progressed from discovery to become validated tools to be used in clinical practice. This Special Issue comprises eight review articles and five original studies on novel potential prognostic and predictive markers for different cancer types.
Book Synopsis Deep Learning for Cancer Diagnosis by : Utku Kose
Download or read book Deep Learning for Cancer Diagnosis written by Utku Kose and published by Springer Nature. This book was released on 2020-09-12 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores various applications of deep learning to the diagnosis of cancer,while also outlining the future face of deep learning-assisted cancer diagnostics. As is commonly known, artificial intelligence has paved the way for countless new solutions in the field of medicine. In this context, deep learning is a recent and remarkable sub-field, which can effectively cope with huge amounts of data and deliver more accurate results. As a vital research area, medical diagnosis is among those in which deep learning-oriented solutions are often employed. Accordingly, the objective of this book is to highlight recent advanced applications of deep learning for diagnosing different types of cancer. The target audience includes scientists, experts, MSc and PhD students, postdocs, and anyone interested in the subjects discussed. The book can be used as a reference work to support courses on artificial intelligence, medical and biomedicaleducation.
Book Synopsis Ovarian Cancer Biomarkers by : Khalid El Bairi
Download or read book Ovarian Cancer Biomarkers written by Khalid El Bairi and published by Springer Nature. This book was released on 2021-10-09 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book comprehensively summarizes the biology, etiology, and pathology of ovarian cancer and explores the role of deep molecular and cellular profiling in the advancement of precision medicine. The initial chapter discusses our current understanding of the origin, development, progression and tumorigenesis of ovarian cancer. In turn, the book highlights the development of resistance, disease occurrence, and poor prognosis that are the hallmarks of ovarian cancer. The book then reviews the role of deep molecular and cellular profiling to overcome challenges that are associated with the treatment of ovarian cancer. It explores the use of genome-wide association analysis to identify genetic variants for the evaluation of ovarian carcinoma risk and prognostic prediction. Lastly, it highlights various diagnostic and prognostic ovarian cancer biomarkers for the development of molecular-targeted therapy.
Book Synopsis Cancer Evolution by : Charles Swanton
Download or read book Cancer Evolution written by Charles Swanton and published by Perspectives Cshl. This book was released on 2017 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt: Tumor progression is driven by mutations that confer growth advantages to different subpopulations of cancer cells. As a tumor grows, these subpopulations expand, accumulate new mutations, and are subjected to selective pressures from the environment, including anticancer interventions. This process, termed clonal evolution, can lead to the emergence of therapy-resistant tumors and poses a major challenge for cancer eradication efforts. Written and edited by experts in the field, this collection from Cold Spring Harbor Perspectives in Medicine examines cancer progression as an evolutionary process and explores how this way of looking at cancer may lead to more effective strategies for managing and treating it. The contributors review efforts to characterize the subclonal architecture and dynamics of tumors, understand the roles of chromosomal instability, driver mutations, and mutation order, and determine how cancer cells respond to selective pressures imposed by anticancer agents, immune cells, and other components of the tumor microenvironment. They compare cancer evolution to organismal evolution and describe how ecological theories and mathematical models are being used to understand the complex dynamics between a tumor and its microenvironment during cancer progression. The authors also discuss improved methods to monitor tumor evolution (e.g., liquid biopsies) and the development of more effective strategies for managing and treating cancers (e.g., immunotherapies). This volume will therefore serve as a vital reference for all cancer biologists as well as anyone seeking to improve clinical outcomes for patients with cancer.
Book Synopsis Role of Biomarkers in Medicine by : Mu Wang
Download or read book Role of Biomarkers in Medicine written by Mu Wang and published by BoD – Books on Demand. This book was released on 2016-08-17 with total page 262 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of biomarkers in basic and clinical research has become routine in many areas of medicine. They are accepted as molecular signatures that have been well characterized and repeatedly shown to be capable of predicting relevant disease states or clinical outcomes. In Role of Biomarkers in Medicine, expert researchers in their individual field have reviewed many biomarkers or potential biomarkers in various types of diseases. The topics address numerous aspects of medicine, demonstrating the current conceptual status of biomarkers as clinical tools and as surrogate endpoints in clinical research. This book highlights the current state of biomarkers and will aid scientists and clinicians to develop better and more specific biomarkers for disease management.
Book Synopsis Integration of Multisource Heterogenous Omics Information in Cancer by : Victor Jin
Download or read book Integration of Multisource Heterogenous Omics Information in Cancer written by Victor Jin and published by Frontiers Media SA. This book was released on 2020-01-30 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt: Multisource heterogenous omics data can provide unprecedented perspectives and insights into cancer studies, but also pose great analytical problems for researchers due to the vast amount of data produced. This Research Topic aims to provide a forum for sharing ideas, tools and results among researchers from various computational cancer biology fields such as genetic/epigenetic and genome-wide studies.
Book Synopsis Evolution of Translational Omics by : Institute of Medicine
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.