Metastatic dissemination of cancer is a main cause of cancer related deaths, therefore biological mechanisms implicated in metastatic process presents an essential object of cancer research. This research requires creation and utilization of adequate laboratory models. The book describes main approaches to model processes of metastatic cancer dissemination and metastases development. The book is structured in according with various metastatic pathways reflecting molecular specificity of metastatic process as well as anatomical specificity of aria of dissemination. Each chapter is introduced by short discussion of clinical aspects of certain metastatic pathway. Especial attention is paid for methods of visualization, quantification and analysis of the modeled metastases. Additional chapter is devoted to methods of mathematic modeling of tumor spread. The data presented in the book may be helpful for cancer researchers and oncologists.

Mathematical modeling, analysis and simulation are set to play crucial roles in explaining tumor behavior, and the uncontrolled growth of cancer cells over multiple time and spatial scales. This book, the first to integrate state-of-the-art numerical techniques with experimental data, provides an in-depth assessment of tumor cell modeling at multiple scales. The first part of the text presents a detailed biological background with an examination of single-phase and multi-phase continuum tumor modeling, discrete cell modeling, and hybrid continuum-discrete modeling. In the final two chapters, the authors guide the reader through problem-based illustrations and case studies of brain and breast cancer, to demonstrate the future potential of modeling in cancer research. This book has wide interdisciplinary appeal and is a valuable resource for mathematical biologists, biomedical engineers and clinical cancer research communities wishing to understand this emerging field.

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

Metastatic disease is the most lethal aspect of human malignancies, making the understanding and continued research of the process of metastasis a crucial step in treating cancer. The proposed book, entitled “Experimental and Clinical Metastasis: A Comprehensive Review” aims to provide a clear and extensive review of the clinical and experimental implications of metastatic disease. This work focuses on recent contributions to the field of metastasis, and will highlight crucial findings in the molecular understanding of disseminated disease as well as standard and personalized medicine currently being investigated in the clinic. Topics will include, among many, gene properties of metastatic cells, molecular mechanisms of tumour growth and spread, animal models of metastasis, and clinical implications, markers and treatment for metastatic disease. With the participation of worldwide experts in the field of oncology, from major academic and government centres, this book will provide a leading manual for the study of the metastatic process, from benchside science to bedside care. In this light, the proposed book will facilitate classroom learning for both medical and graduate students, as well as serve as a tool for physicians and researchers interested in the metastatic process. In addition, this book will include the latest advances in basic science as well as leading technologies and theories of targeting metastatic cells. Most importantly, not only will basic and clinical aspects be discussed, but furthermore, the translational aspect of research in metastatic diseases will be emphasized.

In Volume I, Analysis of Cells and Tissues, we presented a range of protocols aimed at mapping and analyzing the expression of various molecules of pot- tial interest in metastasis research and for examining their production at the genetic level. In this second volume of metastasis research protocols, we move to the level of living cells and tissues and present methodologies applicable to examining metastatic behavior in vitro and in whole animal models. The methods described in the first section of this volume concentrate on the separation of cell lines with high and low metastatic potential, including the genetic modification of cell lines. The assay systems to test defined aspects of the metastatic cascade are then described in Part II and include cell migration assays, assays for matrix degrading enzymes, basement membrane degrading assays, adhesion assays, and assays of angiogenesis. The role of the specific elements of the metastatic cascade assayed in each of these systems in turn must of course be put into perspective relative to their roles in entire living organisms.

This book provides a comprehensive overview of the current limitations and unmet needs in Hepatocellular Carcinoma (HCC) diagnosis, treatment, and prevention. It also provides newly emerging concepts, approaches, and technologies to address challenges. Topics covered include changing landscape of HCC etiologies in association with health disparities, framework of clinical management algorithm, new and experimental modalities of HCC diagnosis and prognostication, multidisciplinary treatment options including rapidly evolving molecular targeted therapies and immune therapies, multi-omics molecular characterization, and clinically relevant experimental models. The book is intended to assist collaboration between the diverse disciplines and facilitate forward and reverse translation between basic and clinical research by providing a comprehensive overview of relevant areas, covering epidemiological trend and population-level patient management strategies, new diagnostic and prognostic tools, recent advances in the standard care and novel therapeutic approaches, and new concepts in pathogenesis and experimental approaches and tools, by experts and opinion leaders in their respective fields. By thoroughly and concisely covering whole aspects of HCC care, Hepatocellular Carcinoma serves as a valuable reference for multidisciplinary readers, and promotes the development of personalized precision care strategies that lead to substantial improvement of disease burden and patient prognosis in HCC.

Cancer is a complex disease process that spans multiple scales in space and time. Driven by cutting-edge mathematical and computational techniques, in silico biology provides powerful tools to investigate the mechanistic relationships of genes, cells, and tissues. It enables the creation of experimentally testable hypotheses, the integration of dat