Systems Biology of Cancer

Systems Biology of Cancer

Author: Sam Thiagalingam

Publisher: Cambridge University Press

Published: 2015-04-09

Total Pages: 597

ISBN-13: 0521493390

DOWNLOAD EBOOK

An overview of the current systems biology-based knowledge and the experimental approaches for deciphering the biological basis of cancer.


The Heterogeneity of Cancer Metabolism

The Heterogeneity of Cancer Metabolism

Author: Anne Le

Publisher: Springer

Published: 2018-06-26

Total Pages: 186

ISBN-13: 331977736X

DOWNLOAD EBOOK

Genetic alterations in cancer, in addition to being the fundamental drivers of tumorigenesis, can give rise to a variety of metabolic adaptations that allow cancer cells to survive and proliferate in diverse tumor microenvironments. This metabolic flexibility is different from normal cellular metabolic processes and leads to heterogeneity in cancer metabolism within the same cancer type or even within the same tumor. In this book, we delve into the complexity and diversity of cancer metabolism, and highlight how understanding the heterogeneity of cancer metabolism is fundamental to the development of effective metabolism-based therapeutic strategies. Deciphering how cancer cells utilize various nutrient resources will enable clinicians and researchers to pair specific chemotherapeutic agents with patients who are most likely to respond with positive outcomes, allowing for more cost-effective and personalized cancer therapeutic strategies.


The Science and Applications of Synthetic and Systems Biology

The Science and Applications of Synthetic and Systems Biology

Author: Institute of Medicine

Publisher: National Academies Press

Published: 2011-12-30

Total Pages: 570

ISBN-13: 0309219396

DOWNLOAD EBOOK

Many potential applications of synthetic and systems biology are relevant to the challenges associated with the detection, surveillance, and responses to emerging and re-emerging infectious diseases. On March 14 and 15, 2011, the Institute of Medicine's (IOM's) Forum on Microbial Threats convened a public workshop in Washington, DC, to explore the current state of the science of synthetic biology, including its dependency on systems biology; discussed the different approaches that scientists are taking to engineer, or reengineer, biological systems; and discussed how the tools and approaches of synthetic and systems biology were being applied to mitigate the risks associated with emerging infectious diseases. The Science and Applications of Synthetic and Systems Biology is organized into sections as a topic-by-topic distillation of the presentations and discussions that took place at the workshop. Its purpose is to present information from relevant experience, to delineate a range of pivotal issues and their respective challenges, and to offer differing perspectives on the topic as discussed and described by the workshop participants. This report also includes a collection of individually authored papers and commentary.


Systems Biology in Cancer Research and Drug Discovery

Systems Biology in Cancer Research and Drug Discovery

Author: Asfar S Azmi

Publisher: Springer Science & Business Media

Published: 2012-09-29

Total Pages: 424

ISBN-13: 9400748183

DOWNLOAD EBOOK

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.


Computational Intelligence Methods for Bioinformatics and Biostatistics

Computational Intelligence Methods for Bioinformatics and Biostatistics

Author: Paolo Cazzaniga

Publisher: Springer Nature

Published: 2020-12-09

Total Pages: 354

ISBN-13: 3030630617

DOWNLOAD EBOOK

This book constitutes revised selected papers from the 16th International Meeting on Computational Intelligence Methods for Bioinformatics and Biostatistics, CIBB 2019, which was held in Bergamo, Italy, during September 4-6, 2019. The 28 full papers presented in this volume were carefully reviewed and selected from 55 submissions. The papers are grouped in topical sections as follows: Computational Intelligence Methods for Bioinformatics and Biostatistics; Algebraic and Computational Methods for the Study of RNA Behaviour; Intelligence methods for molecular characterization medicine; Machine Learning in Healthcare Informatics and Medical Biology; Modeling and Simulation Methods for Computational Biology and Systems Medicine.


Cancer as a Metabolic Disease

Cancer as a Metabolic Disease

Author: Thomas Seyfried

Publisher: John Wiley & Sons

Published: 2012-05-18

Total Pages: 482

ISBN-13: 1118310306

DOWNLOAD EBOOK

The book addresses controversies related to the origins of cancer and provides solutions to cancer management and prevention. It expands upon Otto Warburg's well-known theory that all cancer is a disease of energy metabolism. However, Warburg did not link his theory to the "hallmarks of cancer" and thus his theory was discredited. This book aims to provide evidence, through case studies, that cancer is primarily a metabolic disease requring metabolic solutions for its management and prevention. Support for this position is derived from critical assessment of current cancer theories. Brain cancer case studies are presented as a proof of principle for metabolic solutions to disease management, but similarities are drawn to other types of cancer, including breast and colon, due to the same cellular mutations that they demonstrate.


How Tobacco Smoke Causes Disease

How Tobacco Smoke Causes Disease

Author: United States. Public Health Service. Office of the Surgeon General

Publisher:

Published: 2010

Total Pages: 728

ISBN-13:

DOWNLOAD EBOOK

This report considers the biological and behavioral mechanisms that may underlie the pathogenicity of tobacco smoke. Many Surgeon General's reports have considered research findings on mechanisms in assessing the biological plausibility of associations observed in epidemiologic studies. Mechanisms of disease are important because they may provide plausibility, which is one of the guideline criteria for assessing evidence on causation. This report specifically reviews the evidence on the potential mechanisms by which smoking causes diseases and considers whether a mechanism is likely to be operative in the production of human disease by tobacco smoke. This evidence is relevant to understanding how smoking causes disease, to identifying those who may be particularly susceptible, and to assessing the potential risks of tobacco products.


Cancer Metabolomics

Cancer Metabolomics

Author: Shen Hu

Publisher: Springer Nature

Published: 2021-04-01

Total Pages: 317

ISBN-13: 3030516520

DOWNLOAD EBOOK

Cancer metabolomics is a rapidly evolving field that aims for a comprehensive dissection of the metabolic phenotypes and functional network of metabolites in human cancers. State of the art metabolomics tools have been developed and applied to studying cancer metabolism and developing metabolic targets for improved diagnosis, prognosis and therapeutic treatment of human cancers. Chapters are written by subject experts in the field of cancer metabolomics with cross-disciplinary contributions. Coverage includes advanced metabolomics technologies and methodologies, including chemical isotope labelling liquid chromatography - mass spectrometry, capillary ion chromatography - mass spectrometry, 2-D gas chromatography – mass spectrometry, capillary electrophoresis – mass spectrometry, nuclear magnetic resonance spectroscopy, shotgun lipidomics, tracer-based metabolomics, microbial metabolomics, mass spectrometry imaging for single cell metabolomics and functional metabolomics. In addition, the book highlights new discoveries in cancer metabolism such as hypoxia inducible factor pathway, isocitrate dehydrogenase 1 mutation and oncometabolites. Finally, contributors focus on the translational applications of metabolomics in human cancers such as glioma, head and neck cancer, and gastric cancer. This new volume will be a unique reference source for cancer researchers and promote applications of metabolomics in understanding cancer metabolism.