Illuminating Colorectal Cancer Genomics By Next Generation Sequencing

This book reviews the potential of next-generation sequencing (NGS) in research on and management of colorectal cancer (CRC), a leading cause of death worldwide and one of the most biologically and clinically heterogeneous cancers. It critically discusses findings from recent large-scale studies, clinical trials and meta-analyses and offers an introduction to the management of CRC in the era of precision medicine. In CRC, dozens of driver and passenger mutations are associated with the malignant transformation of epithelial cells. Consequently, the book discusses recent advances in our understanding of the genetics of CRC as a biomarker, the advent of NGS technologies in modern genomics, and the impact of NGS technology on the management of CRC. Furthermore, it highlights the potential of NGS in the context of liquid biopsy and single-cell sequencing in CRC, as well as its role in shedding light on the link between gut microbiota, immune-checkpoint blockade and CRC. The book concludes with a chapter on the limitations and cost-effectiveness of NGS in CRC. Given its scope, the book will appeal to all those interested in learning about the potential of NGS in advancing CRC research and patient care.

Latest generation sequencing revolutionizes the fields of cancer research and oncology. This follow-up volume focuses more extensively on single cell sequencing of cancer and trials in drug resistance. Another exciting feature is the bioinformatics tools given, that can be used on cancer genome studies. Scientists around the world are attempting to find the root cause of cancer. A reasonable cancer treatment plan and potential cure is more optimistic now with the unfolding of the cancer genome. The collective knowledge of how to leverage next generation sequencing in cancer research is paving the way. The important information provided in this volume will move the field forward in developing novel targeted cancer therapies.

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.

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.

This volume focuses on defining the unique attributes of using the zebrafish cancer model for discovering important pathways and potential drug targets for the treatment of human cancers. Using the zebrafish model, the volume explores oncogene and tumor suppressor discovery, chemical genetic approaches, genomics, epigenetics, cancer imaging, and cell transplantation. Contributed chapters come from the most prominent laboratories working in this field, which provides a unique perspective on zebrafish models from a wide spectrum of the research community. In addition, the book offers a detailed analysis of the most current research in the area for specific zebrafish cancer models, including T cell leukemia, rhabdomyosarcoma, liver and pancreatic cancer, melanoma, neuroblastoma, germ cell tumors, and malignant peripheral sheath tumors. A chapter is also dedicated to the development and utilization of other piscine models of cancer. The compilation of chapters in the volume culminates into a comprehensive and definitive text on zebrafish and cancer, providing a much needed resource on the powerful attributes of the zebrafish model system.

Genetic susceptibility refers to how variations in a person’s genes increase or decrease his or her susceptibility to environmental factors, such as chemicals, radiation and lifestyle (diet and smoking). This volume will explore the latest findings in the area of genetic susceptibility to gastrointestinal cancers, focusing on molecular epidemiology, DNA repair, and gene-environment interactions to identify factors that affect the incidence of GI cancers. Topics will include germline susceptibility, including Mendelian patterns of inheritance and gene-environment interactions that lead to cancer etiology.

This book covers the discovery of molecular biomarkers, the development of laboratory testing techniques and their clinical applications, focusing on basic research to clinical practice. It introduces new and crucial knowledge and ethics of clinical molecular diagnosis. This book emphasizes the applications of clinical molecular diagnostic test on health management, especially from different diseased organs. It lets readers to understand and realize precision healthcare.