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Systems Biology In Cancer Immunotherapy
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Book Synopsis Systems Biology in Cancer Immunotherapy by : Mahbuba Rahman
Download or read book Systems Biology in Cancer Immunotherapy written by Mahbuba Rahman and published by Bentham Science Publishers. This book was released on 2016-06-07 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past decades, systems biology approaches have been applied in different areas of life science research including oncology. Researchers now understand the hallmarks of cancer cells such as abnormal cell growth, inflammation, dysregulated metabolic pathways and drug resistance properties at a molecular level. Systems biology approaches have enabled researchers to investigate cancer immunology by identifying cancer related biomarkers on immune cells, and to study the effect of different therapies in tissue cultures and mouse models. Systems Biology in Cancer Immunotherapy explains the scope of systems biology in understanding the immune response to neoplasms. The book introduces readers to the concepts crucial to cancer immunology before delving into the applied systems biology topics such as the metabolic pathways in cancer cells, the biomolecular roles of signal transduction molecules and their respective biochemical pathways ad cancer immunotherapy. A brief conclusion at the end also provides some information from a clinical and commercial perspective on cancer immunotherapy. This volume is intended as an introductory reference for life science and medical students, researchers and academics interested in the application of systems biology to the immune system in oncology research and chemotherapy practice.
Book Synopsis Frontiers in Cancer Immunology; Systems Biology in Cancer Immunotherapy by : Mahbuba Rahman
Download or read book Frontiers in Cancer Immunology; Systems Biology in Cancer Immunotherapy written by Mahbuba Rahman and published by Frontiers in Cancer Immunology. This book was released on 2016-06-07 with total page 166 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past decades, systems biology approaches have been applied in different areas of life science research including oncology. Researchers now understand the hallmarks of cancer cells such as abnormal cell growth, inflammation, dysregulated metabolic pathways and drug resistance properties at a molecular level. Systems biology approaches have enabled researchers to investigate cancer immunology by identifying cancer related biomarkers on immune cells, and to study the effect of different therapies in tissue cultures and mouse models. Systems Biology in Cancer Immunotherapy explains the scope of systems biology in understanding the immune response to neoplasms. The book introduces readers to the concepts crucial to cancer immunology before delving into the applied systems biology topics such as the metabolic pathways in cancer cells, the biomolecular roles of signal transduction molecules and immunotherapy. A brief conclusion at the end also provides some information from a clinical and commercial perspective on cancer immunotherapy. This volume is intended as an introductory reference for life science and medical students, researchers and academics interested in the application of systems biology to the immune system in cancer patients.
Book Synopsis Systems Biology in Cancer Research and Drug Discovery by : Asfar S Azmi
Download or read book Systems Biology in Cancer Research and Drug Discovery written by Asfar S Azmi and published by Springer Science & Business Media. This book was released on 2012-09-29 with total page 425 pages. Available in PDF, EPUB and Kindle. Book excerpt: Systems Biology in Cancer Research and Drug Discovery provides a unique collection of chapters, by world-class researchers, describing the use of integrated systems biology and network modeling in the cancer field where traditional tools have failed to deliver expected promise. This book touches four applications/aspects of systems biology (i) in understanding aberrant signaling in cancer (ii) in identifying biomarkers and prognostic markers especially focused on angiogenesis pathways (iii) in unwinding microRNAs complexity and (iv) in anticancer drug discovery and in clinical trial design. This book reviews the state-of-the-art knowledge and touches upon cutting edge newer and improved applications especially in the area of network modeling. It is aimed at an audience ranging from students, academics, basic researcher and clinicians in cancer research. This book is expected to benefit the field of translational cancer medicine by bridging the gap between basic researchers, computational biologists and clinicians who have one ultimate goal and that is to defeat cancer.
Book Synopsis Systems Biology of Tumor Microenvironment by : Katarzyna A. Rejniak
Download or read book Systems Biology of Tumor Microenvironment written by Katarzyna A. Rejniak and published by Springer. This book was released on 2016-10-13 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume discusses the complexity of tumor microenvironments during cancer development, progression and treatment. Each chapter presents a different mathematical model designed to investigate the interactions between tumor cells and the surrounding stroma and stromal cells. The topics covered in this book include the quantitative image analysis of a tumor microenvironment, the microenvironmental barriers in oxygen and drug delivery to tumors, the development of tumor microenvironmental niches and sanctuaries, intravenous transport of the circulating tumor cells, the role of the tumor microenvironment in chemotherapeutic interventions, the interactions between tumor cells, the extracellular matrix, the interstitial fluid, and the immune and stromal cells. Mathematical models discussed here embrace both continuous and agent-based approaches, as well as mathematical frameworks of solid mechanics, fluid dynamics and optimal control theory. The topics in each chapter will be of interest to a biological community wishing to apply the mathematical methods to interpret their experimental data, and to a biomathematical audience interested in exploring how mathematical models can be used to address complex questions in cancer biology.
Book Synopsis Recent Developments in Cancer Systems Biology by : Raghu Sinha
Download or read book Recent Developments in Cancer Systems Biology written by Raghu Sinha and published by MDPI. This book was released on 2021-08-18 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Cancer Systems Biology, Bioinformatics and Medicine by : Alfredo Cesario
Download or read book Cancer Systems Biology, Bioinformatics and Medicine written by Alfredo Cesario and published by Springer Science & Business Media. This book was released on 2011-08-21 with total page 496 pages. Available in PDF, EPUB and Kindle. Book excerpt: This teaching monograph on systems approaches to cancer research and clinical applications provides a unique synthesis, by world-class scientists and doctors, of laboratory, computational, and clinical methods, thereby establishing the foundations for major advances not possible with current methods. Specifically, the book: 1) Sets the stage by describing the basis of systems biology and bioinformatics approaches, and the clinical background of cancer in a systems context; 2) Summarizes the laboratory, clinical, data systems analysis and bioinformatics tools, along with infrastructure and resources required; 3) Demonstrates the application of these tools to cancer research; 4) Extends these tools and methods to clinical diagnosis, drug development and treatment applications; and 5) Finishes by exploring longer term perspectives and providing conclusions. This book reviews the state-of-the-art, and goes beyond into new applications. It is written and highly referenced as a textbook and practical guide aimed at students, academics, doctors, clinicians, industrialists and managers in cancer research and therapeutic applications. Ideally, it will set the stage for integration of available knowledge to optimize communication between basic and clinical researchers involved in the ultimate fight against cancer, whatever the field of specific interest, whatever the area of activity within translational research.
Book Synopsis Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling by : Dominik Wodarz
Download or read book Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling written by Dominik Wodarz and published by World Scientific. This book was released on 2005-01-24 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book shows how mathematical and computational models can be used to study cancer biology. It introduces the concept of mathematical modeling and then applies it to a variety of topics in cancer biology. These include aspects of cancer initiation and progression, such as the somatic evolution of cells, genetic instability, and angiogenesis. The book also discusses the use of mathematical models for the analysis of therapeutic approaches such as chemotherapy, immunotherapy, and the use of oncolytic viruses.
Book Synopsis Computational Systems Biology Approaches in Cancer Research by : Inna Kuperstein
Download or read book Computational Systems Biology Approaches in Cancer Research written by Inna Kuperstein and published by CRC Press. This book was released on 2019-09-09 with total page 167 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for Computational Systems BiologyApproaches in Cancer Research: "Complex concepts are written clearly and with informative illustrations and useful links. The book is enjoyable to read yet provides sufficient depth to serve as a valuable resource for both students and faculty." — Trey Ideker, Professor of Medicine, UC Xan Diego, School of Medicine "This volume is attractive because it addresses important and timely topics for research and teaching on computational methods in cancer research. It covers a broad variety of approaches, exposes recent innovations in computational methods, and provides acces to source code and to dedicated interactive web sites." — Yves Moreau, Department of Electrical Engineering, SysBioSys Centre for Computational Systems Biology, University of Leuven With the availability of massive amounts of data in biology, the need for advanced computational tools and techniques is becoming increasingly important and key in understanding biology in disease and healthy states. This book focuses on computational systems biology approaches, with a particular lens on tackling one of the most challenging diseases - cancer. The book provides an important reference and teaching material in the field of computational biology in general and cancer systems biology in particular. The book presents a list of modern approaches in systems biology with application to cancer research and beyond. It is structured in a didactic form such that the idea of each approach can easily be grasped from the short text and self-explanatory figures. The coverage of topics is diverse: from pathway resources, through methods for data analysis and single data analysis to drug response predictors, classifiers and image analysis using machine learning and artificial intelligence approaches. Features Up to date using a wide range of approaches Applicationexample in each chapter Online resources with useful applications’
Book Synopsis Systems Biology of Cancer by : Sam Thiagalingam
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 Systems Biology written by Hsueh-Fen Juan and published by World Scientific. This book was released on 2012 with total page 339 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume presents an overview of recent developments in systems biology and their applications in cancer-related research. The ongoing advances in our understanding of genomics and proteomics, coupled with the development of new and more robust tools, have led to an emphasis on analyzing biological systems at multiple levels. Thus, there is a need to integrate different types of data into a comprehensive "systems" view. Written by active researchers in the emerging areas, this book gives senior undergraduate students, graduate students and new researchers an idea of where the frontiers of systems biology are and an opportunity to learn high-throughput techniques in use. One of the particular emphases of the book is to elucidate the molecular mechanisms in cancer. The discovery of biomarkers and anti-cancer drugs using systems biology approach is also extensively discussed.
Book Synopsis Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer by : Osbaldo Resendis-Antonio
Download or read book Systems Biology and the Challenge of Deciphering the Metabolic Mechanisms Underlying Cancer written by Osbaldo Resendis-Antonio and published by Frontiers Media SA. This book was released on 2017-11-23 with total page 144 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the discovery of the Warburg effect in the 1920s cancer has been tightly associated with the genetic and metabolic state of the cell. One of the hallmarks of cancer is the alteration of the cellular metabolism in order to promote proliferation and undermine cellular defense mechanisms such as apoptosis or detection by the immune system. However, the strategies by which this is achieved in different cancers and sometimes even in different patients of the same cancer is very heterogeneous, which hinders the design of general treatment options. Recently, there has been an ongoing effort to study this phenomenon on a genomic scale in order to understand the causality underlying the disease. Hence, current “omics” technologies have contributed to identify and monitor different biological pieces at different biological levels, such as genes, proteins or metabolites. These technological capacities have provided us with vast amounts of clinical data where a single patient may often give rise to various tissue samples, each of them being characterized in detail by genomescale data on the sequence, expression, proteome and metabolome level. Data with such detail poses the imminent problem of extracting meaningful interpretations and translating them into specific treatment options. To this purpose, Systems Biology provides a set of promising computational tools in order to decipher the mechanisms driving a healthy cell’s metabolism into a cancerous one. However, this enterprise requires bridging the gap between large data resources, mathematical analysis and modeling specifically designed to work with the available data. This is by no means trivial and requires high levels of communication and adaptation between the experimental and theoretical side of research.
Book Synopsis Understanding Cancer from a Systems Biology Point of View by : Irina Kareva
Download or read book Understanding Cancer from a Systems Biology Point of View written by Irina Kareva and published by Academic Press. This book was released on 2018-02-07 with total page 120 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding Cancer from a Systems Biology Point of View: From Observation to Theory and Back starts with a basic question, why do we sometimes observe accelerated metastatic growth after resection of primary tumors? Next, it helps readers understand the systemic nature of cancer and how it affects treatment approaches and decisions. The book puts together aspects of cancer that many readers have most likely never combined, using unfamiliar, novel methods. It is a valuable resource for cancer researchers, cancer biologists, mathematicians and members of the biomedical field who are interested in applying systems biology methodologies for understanding and treating cancer. Explains the systemic nature of cancer and how it affects decisions on treatment Brings a variety of methods together, showing, in detail, the logical approach to finding answers to complex questions Discusses the theoretical underpinnings of cancer as a systemic disease, providing the reader with valuable information on applicable cases
Book Synopsis Application of Systems Biology in Molecular Characterization and Diagnosis of Cancer by : Cheng Zhang
Download or read book Application of Systems Biology in Molecular Characterization and Diagnosis of Cancer written by Cheng Zhang and published by Frontiers Media SA. This book was released on 2021-07-27 with total page 138 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Immunology, Systems Biology, and Immunotherapy of Breast Cancer by :
Download or read book Immunology, Systems Biology, and Immunotherapy of Breast Cancer written by and published by . This book was released on 2010 with total page 41 pages. Available in PDF, EPUB and Kindle. Book excerpt: In year 4, the foundation we have built over the first three years of this award have enabled us to make substantial progress in multiple areas of this project. We now have an efficient system in place to recruit patients into this study and procure their samples, with a total of 240 subjects recruited to-date. Limited amounts of clinical materials available from each subject remains major challenges to the success of this project? we continually attempt to address and solve this issue by reducing the cell numbers that we need for each assay. We have further enhanced and refined a powerful set of immunological assays and molecular tools to study these samples in greater detail than previously possible. We continue to uncover dramatic changes in the immune cell populations within tumors, TDLNs, and peripheral blood from breast cancer patients. These findings are reported above, and have led to a high profile publication in PNAS, with more to come in year 5. The coming final year of this award will see more progress and insights.
Book Synopsis Systems Biology of Tumor Dormancy by : Heiko Enderling
Download or read book Systems Biology of Tumor Dormancy written by Heiko Enderling and published by Springer Science & Business Media. This book was released on 2012-11-09 with total page 298 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is based on the Workshop on Systems Biology of Tumor Dormancy meeting, held July 25th to July 28th, 2011. The first annual CCSB workshop brought together biologists, clinicians, mathematicians, and computer scientists to discuss various aspects of tumor dormancy and develop novel mathematical/computational models with the keynote speakers. Specific topics included the angiogenic switch, immune system interactions, cancer stem cells and signaling.
Book Synopsis Computational Systems Biology of Cancer by : Emmanuel Barillot
Download or read book Computational Systems Biology of Cancer written by Emmanuel Barillot and published by CRC Press. This book was released on 2012-08-25 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: The future of cancer research and the development of new therapeutic strategies rely on our ability to convert biological and clinical questions into mathematical models—integrating our knowledge of tumour progression mechanisms with the tsunami of information brought by high-throughput technologies such as microarrays and next-generation sequencing. Offering promising insights on how to defeat cancer, the emerging field of systems biology captures the complexity of biological phenomena using mathematical and computational tools. Novel Approaches to Fighting Cancer Drawn from the authors’ decade-long work in the cancer computational systems biology laboratory at Institut Curie (Paris, France), Computational Systems Biology of Cancer explains how to apply computational systems biology approaches to cancer research. The authors provide proven techniques and tools for cancer bioinformatics and systems biology research. Effectively Use Algorithmic Methods and Bioinformatics Tools in Real Biological Applications Suitable for readers in both the computational and life sciences, this self-contained guide assumes very limited background in biology, mathematics, and computer science. It explores how computational systems biology can help fight cancer in three essential aspects: Categorising tumours Finding new targets Designing improved and tailored therapeutic strategies Each chapter introduces a problem, presents applicable concepts and state-of-the-art methods, describes existing tools, illustrates applications using real cases, lists publically available data and software, and includes references to further reading. Some chapters also contain exercises. Figures from the text and scripts/data for reproducing a breast cancer data analysis are available at www.cancer-systems-biology.net.
Book Synopsis Systems Biomedicine Approaches in Cancer Research by : Shailza Singh
Download or read book Systems Biomedicine Approaches in Cancer Research written by Shailza Singh and published by Springer Nature. This book was released on 2022-08-10 with total page 170 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the applications of systems biology and synthetic biology in cancer medicine. It highlights the use of computational and mathematical models to decipher the complexity of cancer heterogeneity. The book emphasizes the modeling approaches for predicting behavior of cancer cells, tissues in context of drug response, and angiogenesis. It introduces cell-based therapies for the treatment of various cancers and reviews the role of neural networks for drug response prediction. Further, it examines the system biology approaches for the identification of medicinal plants in cancer drug discovery. It explores the opportunities for metabolic engineering in the realm of cancer research towards development of new cancer therapies based on metabolically derived targets. Lastly, it discusses the applications of data mining techniques in cancer research. This book is an excellent guide for oncologists and researchers who are involved in the latest cancer research.
