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.

The book presents a comprehensive and up-to-date overview of phytochemicals as efficient cancer therapeutics. Over the last few decades there has been a paradigm shift from conventional cancer therapeutic approaches to alternative and complementary medicinal approaches especially using phytoconstituents from natural products. As such, the book provides an in-depth understanding of phytochemicals targeting diverse signaling pathways involved in cancer along with the evaluation of the cancer modulatory effects of phytochemicals. It also highlights the potential modulatory effect of single nucleotide polymorphisms (SNPs) on the cancer-associated cellular pathways and their interactions with the phytochemicals. Further, it analyzes the drug delivery methods, bioavailability of active components of botanicals, and toxicity of phytochemicals. Lastly, the book elucidates the 3D cell culture and animal models systems to analyze the beneficial effects of phytochemicals in cancer.

Volume 37 will provide details on the major chemical constituents of medicinal plants and their mechanism of action as the anticancer compounds. This special issue, in addition to the previous volume (volume 36 of The Enzyme series was on Natural Products and Cancer Signaling Targets: Isoprenoids, Polyphenols and Flavonoids), will highlight the significant advance made in the field in elucidating mechanisms of anticancer effect of the major phytochemicals.

With the rapid development of biotechnologies, single-cell sequencing has become an important tool for understanding the molecular mechanisms of diseases, defining cellular heterogeneities and characteristics, and identifying intercellular communications and single-cell-based biomarkers. Providing a clear overview of the clinical applications, the book presents state-of-the-art information on immune cell function, cancer progression, infection, and inflammation gained from single-cell DNA or RNA sequencing. Furthermore, it explores the role of target gene methylation in the pathogenesis of diseases, with a focus on respiratory cancer, infection and chronic diseases. As such it is a valuable resource for clinical researchers and physicians, allowing them to refresh their knowledge and improve early diagnosis and therapy for patients.

Revealing essential roles of the tumor microenvironment in cancer progression, this book provides a comprehensive overview of the latest research on how different signaling pathways are important in the tumor microenvironment. Multiple signaling pathways are covered, including Src, Neuregulin, Adenosine, TGF , Androgen, Wnt, and more. Taken alongside its companion volumes, these books update us on what we know about various aspects of the tumor microenvironment as well as future directions. Tumor Microenvironment: Signaling Pathways - Part B is essential reading for advanced cell biology and cancer biology students as well as researchers seeking an update on research in the tumor microenvironment.

This book introduces a variety of advanced machine learning approaches covering the areas of neural networks, fuzzy logic, and hybrid intelligent systems for the determination and diagnosis of cancer. Moreover, the tactical solutions of machine learning have proved its vast range of significance and, provided novel solutions in the medical field for the diagnosis of disease. This book also explores the distinct deep learning approaches that are capable of yielding more accurate outcomes for the diagnosis of cancer. In addition to providing an overview of the emerging machine and deep learning approaches, it also enlightens an insight on how to evaluate the efficiency and appropriateness of such techniques and analysis of cancer data used in the cancer diagnosis. Therefore, this book focuses on the recent advancements in the machine learning and deep learning approaches used in the diagnosis of different types of cancer along with their research challenges and future directions for the targeted audience including scientists, experts, Ph.D. students, postdocs, and anyone interested in the subjects discussed.

This book provides a comprehensive overview of the latest research on the molecular players in the tumor microenvironment, including Cathepsin D, galectins, iron, oxygen, Phospholipase D1, leptin, extracellular vesicles, and more. Taken alongside its companion volumes, these books update us on what we know about the tumor microenvironment as well as future directions. Tumor Microenvironment: Molecular Players - Part A is essential reading for advanced cell biology and cancer biology students as well as researchers seeking an update on research in the tumor microenvironment.