Mitochondria and Cancer

Mitochondria and Cancer

Author: Keshav Singh

Publisher: Springer Science & Business Media

Published: 2009-04-05

Total Pages: 294

ISBN-13: 0387848355

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Nearly a century of scientific research has revealed that mitochondrial dysfunction is one of the most common and consistent phenotypes of cancer cells. A number of notable differences in the mitochondria of normal and cancer cells have been described. These include differences in mitochondrial metabolic activity, molecular composition of mitochondria and mtDNA sequence, as well as in alteration of nuclear genes encoding mitochondrial proteins. This book, Mitochondria and Cancer, edited by Keshav K. Singh and Leslie C. Costello, presents thorough analyses of mitochondrial dysfunction as one of the hallmarks of cancer, discusses the clinical implications of mitochondrial defects in cancer, and as unique cellular targets for novel and selective anti-cancer therapy.


Cancer Evolution

Cancer Evolution

Author: Charles Swanton

Publisher: Perspectives Cshl

Published: 2017

Total Pages: 350

ISBN-13: 9781621821434

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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.


Molecular Biomarkers for Gastric Cancer, 2nd edition

Molecular Biomarkers for Gastric Cancer, 2nd edition

Author: Kecheng Zhang

Publisher: Frontiers Media SA

Published: 2024-07-31

Total Pages: 394

ISBN-13: 2832552366

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Gastric cancer (GC) represents a serious health problem on a global scale. Despite some recent advances in the field, the prognosis in GC remains poor. A better understanding of molecular biology, which would lead to improved treatment options, is needed. Many potential biomarkers of prognostic significance have been identified. However, inhibition of only HER2 protein has led to a modest survival benefit. A deeper understanding of the pathogenesis and biological features of gastric cancer, including the identification and characterization of diagnostic, prognostic, predictive, and therapeutic biomarkers, hopefully will provide improved clinical outcomes. This Research Topic aims to provide a comprehensive overview on recent progress in emerging molecular biomarkers for gastric cancer. We welcome the submission of Review and Original Research articles covering, but not limited to, the following topics: 1)Novel diagnostic molecules to improve the early detection rate for gastric cancer 2)Novel prognostic molecules to stratify gastric cancer patients into different risk 3)Novel therapeutic biomarker which could serve as target for treating gastric cancer 4)Novel biomarker to predict chemotherapy response of gastric cancer patients


Evolution of Translational Omics

Evolution of Translational Omics

Author: Institute of Medicine

Publisher: National Academies Press

Published: 2012-09-13

Total Pages: 354

ISBN-13: 0309224187

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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.


Transcriptome and Single-Cell Sequencing Analyses to Classify Immune Subtypes, Uncover Novel Biomarkers, and Assess Immunotherapeutic Responses in Cancer

Transcriptome and Single-Cell Sequencing Analyses to Classify Immune Subtypes, Uncover Novel Biomarkers, and Assess Immunotherapeutic Responses in Cancer

Author: Hongda Liu

Publisher: Frontiers Media SA

Published: 2024-07-24

Total Pages: 242

ISBN-13: 2832552064

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According to the most recent projections of the International Agency for Research on Cancer (IARC), there would be around 19.3 million new cases of cancer and 10 million cancer-related deaths globally in 2022. Cancer research has never halted. In particular, research into the cancer immunological microenvironment is gaining popularity.


Application of Bioinformatics in Cancers

Application of Bioinformatics in Cancers

Author: Chad Brenner

Publisher: MDPI

Published: 2019-11-20

Total Pages: 418

ISBN-13: 3039217887

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This collection of 25 research papers comprised of 22 original articles and 3 reviews is brought together from international leaders in bioinformatics and biostatistics. The collection highlights recent computational advances that improve the ability to analyze highly complex data sets to identify factors critical to cancer biology. Novel deep learning algorithms represent an emerging and highly valuable approach for collecting, characterizing and predicting clinical outcomes data. The collection highlights several of these approaches that are likely to become the foundation of research and clinical practice in the future. In fact, many of these technologies reveal new insights about basic cancer mechanisms by integrating data sets and structures that were previously immiscible. Accordingly, the series presented here bring forward a wide range of artificial intelligence approaches and statistical methods that can be applied to imaging and genomics data sets to identify previously unrecognized features that are critical for cancer. Our hope is that these articles will serve as a foundation for future research as the field of cancer biology transitions to integrating electronic health record, imaging, genomics and other complex datasets in order to develop new strategies that improve the overall health of individual patients.