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Aging is an inevitable part of life, and is becoming a worldwide social, economic and health problem due to the fact that an increasing proportion of individuals in the advanced age category have a higher probability of developing age-related disorders. New therapeutic approaches are still in need to decrease or slow the effects of such diseases in this aging society. Advances in ‘omic technologies such as genomics, transcriptomics, proteomics and metabolomics have significantly advanced our understanding of diseases in multiple medical areas. It is hoped that emerging hits from these analyses might be prioritized for further screening as potential novel drug targets for increasing the human healthspan in line with the lifespan, which will in turn lead to new therapeutic strategies and drug development projects by the pharmaceutical industry. This new book presents a series of reviews describing studies which have resulted in the identification of potential new drug targets for age-related disorders. Much of this information has come from ‘omic comparisons of healthy and disease states or from testing the effects of potential new therapeutic approaches. Each chapter will be presented in the context of specific chronic diseases or different therapeutic strategies, providing important information on disease mechanisms related to the aging process. This book will be of interest to researchers in the areas of aging and chronic disease, as well as clinical scientists, physicians, and major drug companies. With contributors from Australia, Brazil, Canada, France, Germany, India, Iran, Iraq, South Africa, South Korea, Thailand, Ukraine, United Kingdom, United States of America, Uruguay and Vietnam, this is a timely follow up to Guest’s previous book Reviews on New Drug Targets in Age-Related Disorders.
Cancer and Noncoding RNAs offers an in-depth exploration of noncoding RNAs and their role in epigenetic regulation of complex human disease, most notably cancer. In addition to examining microRNAs, this volume provides a unique evaluation of more recently profiled noncoding RNAs now implicated in carcinogenesis, including lncRNAs, piRNAs, circRNAs, and tRNAs, identifying differences in function between these noncoding RNAs and how they interact with the rest of the epigenome. A broad range of chapters from experts in the field detail epigenetic regulation of various cancer types, along with recent next generation sequencing technologies, genome-wide association studies (GWAS) and bioinformatics approaches. This book will help researchers in genomic medicine and cancer biology better understand the role of noncoding RNAs in epigenetics, aiding in the development of useful biomarkers for diagnosis, prognosis and new RNA-based disease therapies. - Provides a comprehensive analysis of noncoding RNAs implicated in epigenetic regulation of gene expression and chromatin dynamics - Educates researchers and graduate students by highlighting, in addition to miRNAs, a range of noncoding RNAs newly associated with carcinogenesis - Applies current knowledge of noncoding RNAs and epigenomics towards developing cancer and RNA-based disease therapies - Features contributions by leading experts in the field
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.
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.
This volume presents techniques needed for the study of long non-coding RNAs (lncRNAs) in cancer from their identification to functional characterization. Chapters guide readers through identification of lncRNA expression signatures in cancer tissue or liquid biopsies by RNAseq, single Cell RNAseq, Phospho RNAseq or Nanopore Sequencing techniques; validation of lncRNA signatures by Real time PCR, digital PCR or in situ hybridization; and functional analysis by siRNA or CRISPR based methods for lncRNA silencing or overexpression. Lipid based nanoparticles for delivery of siRNAs in vivo, lncRNA-protein interactions, viral lncRNAs and circRNAs are also treated in this volume. Written in the format of the highly successful Methods in Molecular Biology series, each chapter includes an introduction to the topic, lists necessary materials and reagents, includes tips on troubleshooting and known pitfalls, and step-by-step, readily reproducible protocols. Authoritative and practical, Long Non-Coding RNAs in Cancer aims to provide a collection of laboratory protocols, bioinformatic pipelines, and review chapters to further research in this vital field.
Human skin cancers, the most common type of tumors, represent a significant health burden. The deadliest is unquestionably melanoma. Half of melanomas have an activating mutation in the BRAF gene, prompting development of novel drugs, vemurafenib and dabrafenib, specifically targeting mutated BRAF. Trametinib and cobimetinib, which block MEK, a BRAF effector protein, have been used in combination with BRAF inhibitors. A promising new melanoma treatment is immunotherapy, approach that boosts patient's own immune system to attack cancer. Pembrolizumab and nivolumab inhibit PD-1, whereas Ipilimumab targets CTLA-4, another immunity check point, to boost the immune response. Here we focus on pathways, mechanisms, targets and treatments of human skin cancers, with particular emphasis on the new developments in the research on melanomas.
This book provides a detailed evidence-based overview of the latest developments in how the structure of the human genome is relevant to the health professional. It features comprehensive reviews of genome science including human chromosomal and mitochondrial DNA structure, protein-coding and noncoding genes, and the diverse classes of repeat elements of the human genome. These concepts are then built upon to provide context as to how they functionally relate to differences in phenotypic traits that can be observed in human populations. Guidance is also provided on how this information can be applied by the medical practitioner in day-to-day clinical practice. Human Genome Structure, Function and Clinical Considerations collates the latest developments in genome science and current methods for genome analysis that are relevant for the clinician, researcher and scientist who utilises precision medicine techniques and is an essential resource for any such practitioner.
This contributed volume offers a comprehensive and detailed overview of the various aspects of long non-coding RNAs and discusses their emerging significance. Written by leading experts in the field, it motivates young researchers around the globe, and offers graduate and postgraduate students fascinating insights into genes and their regulation in eukaryotes and higher organisms.