Handbook of Cancer Models with Applications


Book Description

Composed of contributions from an international team of leading researchers, this book pulls together the most recent research results in the field of cancer modeling to provide readers with the most advanced mathematical models of cancer and their applications.Topics included in the book cover oncogenetic trees, stochastic multistage models of carcinogenesis, effects of ionizing radiation on cell cycle and genomic instability, induction of DNA damage by ionizing radiation and its repair, epigenetic cancer models, bystander effects of radiation, multiple pathway models of human colon cancer, and stochastic models of metastasis. The book also provides some important applications of cancer models to the assessment of cancer risk associated with various hazardous environmental agents, to cancer screening by MRI, and to drug resistance in cancer chemotherapy. An updated statistical design and analysis of xenograft experiments as well as a statistical analysis of cancer occult clinical data are also provided.The book will serve as a useful source of reference for researchers in biomathematics, biostatistics and bioinformatics; for clinical investigators and medical doctors employing quantitative methods to develop procedures for cancer diagnosis, prevention, control and treatment; and for graduate students.




Protocol Handbook for Cancer Biology


Book Description

Protocol Handbook for Cancer Biology brings together a comprehensive collection of the methods used for cancer assessment, diagnostics, and therapeutics. Various protocols are discussed along with alternative strategies, including the advantages and limitations of techniques that have been used in labs globally. These protocols are presented by cancer biology experts based on their real-world experience. The protocols in this book will be a valuable resource for cancer researchers and graduate students, who can utilize the techniques described to conduct research more efficiently and successfully. - Presents comprehensive protocols used for cancer assessment, diagnostics, and therapeutics all in one place - Encompasses alternative strategies considering the requirements of the end user and taking into consideration diverse research settings - Discusses limitations and advantages of each method in experimental design and execution, thus saving time during the research process




Stochastic Models Of Tumor Latency And Their Biostatistical Applications


Book Description

This research monograph discusses newly developed mathematical models and methods that provide biologically meaningful inferences from data on cancer latency produced by follow-up and discrete surveillance studies. Methods for designing optimal strategies of cancer surveillance are systematically presented for the first time in this book. It offers new approaches to the stochastic description of tumor latency, employs biologically-based models for making statistical inference from data on tumor recurrence and also discusses methods of statistical analysis of data resulting from discrete surveillance strategies. It also offers insight into the role of prognostic factors based on the interpretation of their effects in terms of parameters endowed with biological meaning, as well as methods for designing optimal schedules of cancer screening and surveillance. Last but not least, it discusses survival models allowing for cure rates and the choice of optimal treatment based on covariate information, and presents numerous examples of real data analysis.




Handbook of Research on Natural Products and Their Bioactive Compounds as Cancer Therapeutics


Book Description

Many chemotherapeutic agents are available in today’s market that are highly effective against a variety of cancer types; however, the major drawbacks of these chemotherapeutic agents are the many side effects. As an alternative to these chemotherapeutic agents, there are a number of natural agents that are effective against cancer that have been tested in preclinical and clinical models over the years. These natural products must be documented and discussed in order to provide a thorough overview of all the options available for cancer treatment. The Handbook of Research on Natural Products and Their Bioactive Compounds as Cancer Therapeutics emphasizes the list of natural agents against all types of cancers and discusses the current state of research in the fields of natural products and their derivatives against cancer in preclinical and clinical models. This book also provides insight into the applications of meditation and mindfulness-based interventions in clinical and non-clinical conditions. Covering topics such as cancer therapy, antioxidants, and flavonoids, it is ideal for students, research scholars, academicians, professors, scientists, oncologists, doctors, and medical practitioners.




Animal Models in Cancer Drug Discovery


Book Description

Animal Models in Cancer Drug Discovery brings forward the most cutting-edge developments in tumor model systems for translational cancer research. The reader can find under this one volume virtually all types of existing and emerging tumor models in use by the research community. This book provides a deeper insight on how these newer models could de-risk modern drug discovery. Areas covered include up to date information on latest organoid derived models and newer genetic models. Additionally, the book discusses humanized animal tumor models for cancer immunotherapy and how they leverage personalized therapies. The chapter on larger animal, canine models and their use in and their use in pre-investigational new drug (pre-IND) development makes the volume unique. Unlike before, the incorporation of several simplified protocols, breeding methodologies, handling and assessment procedures to study drug intervention makes this book a must read. Animal Models in Cancer Drug Discovery is a valuable resource for basic and translational cancer researchers, drug discovery researchers, contract research organizations, and knowledge seekers at all levels in the biomedical field.




Theory at a Glance


Book Description




Computational Biology Of Cancer: Lecture Notes And Mathematical Modeling


Book Description

The book shows how mathematical and computational models can be used to study cancer biology. It introduces the concept of mathematical modeling and then applies it to a variety of topics in cancer biology. These include aspects of cancer initiation and progression, such as the somatic evolution of cells, genetic instability, and angiogenesis. The book also discusses the use of mathematical models for the analysis of therapeutic approaches such as chemotherapy, immunotherapy, and the use of oncolytic viruses.




Multiscale Modeling of Cancer


Book Description

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.




Handbook of Nanomaterials for Cancer Theranostics


Book Description

Handbook of Nanomaterials for Cancer Theranostics focuses on recent developments in advanced theranostic nanomedicines from a chemical and biological perspective where the advantages of theranostics are achieved by combining multiple components. The authors explore the pros and cons of theranostic nanomaterials developed in cancer research in the last 15 years, with the different strategies compared and scrutinized. In addition, the book explores how nanomaterials may overcome the regulatory hurdles facing theranostic nanomedicines. This is an important research reference for postgraduates and researchers in nanomedicine and cancer research who want to learn more on how nanomaterials can help create more effective cancer treatments. - Highlights the development of smart theranostic nanomaterials to tackle biomedical problems in cancer therapy and diagnostics - Explores the regulatory hurdles facing theranostic nanomedicine - Discusses how the use of nanomaterials can help create more effective cancer treatments




Tumor Organoids


Book Description

Cancer cell biology research in general, and anti-cancer drug development specifically, still relies on standard cell culture techniques that place the cells in an unnatural environment. As a consequence, growing tumor cells in plastic dishes places a selective pressure that substantially alters their original molecular and phenotypic properties.The emerging field of regenerative medicine has developed bioengineered tissue platforms that can better mimic the structure and cellular heterogeneity of in vivo tissue, and are suitable for tumor bioengineering research. Microengineering technologies have resulted in advanced methods for creating and culturing 3-D human tissue. By encapsulating the respective cell type or combining several cell types to form tissues, these model organs can be viable for longer periods of time and are cultured to develop functional properties similar to native tissues. This approach recapitulates the dynamic role of cell–cell, cell–ECM, and mechanical interactions inside the tumor. Further incorporation of cells representative of the tumor stroma, such as endothelial cells (EC) and tumor fibroblasts, can mimic the in vivo tumor microenvironment. Collectively, bioengineered tumors create an important resource for the in vitro study of tumor growth in 3D including tumor biomechanics and the effects of anti-cancer drugs on 3D tumor tissue. These technologies have the potential to overcome current limitations to genetic and histological tumor classification and development of personalized therapies.