Ecology And Evolution Of Cancer

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    Ecology and Evolution of Cancer
    By: Beata Ujvari
    Publisher:
    Academic Press
    Print ISBN: 9780128043103, 0128043105
    eText ISBN: 9780128043806, 0128043806
    Copyright year: 2017
    Format: EPUB
    Available from $ 29.99 USD
    SKU 9780128043806R30
    Ecology and Evolution of Cancer is a timely work outlining ideas that not only represent a substantial and original contribution to the fields of evolution, ecology, and cancer, but also goes beyond by connecting the interfaces of these disciplines. This work engages the expertise of a multidisciplinary research team to collate and review the latest knowledge and developments in this exciting research field.
    The evolutionary perspective of cancer has gained significant international recognition and interest, which is fully understandable given that somatic cellular selection and evolution are elegant explanations for carcinogenesis. Cancer is now generally accepted to be an evolutionary and ecological process with complex interactions between tumor cells and their environment sharing many similarities with organismal evolution. As a critical contribution to this field of research the book is important and relevant for the applications of evolutionary biology to understand the origin of cancers, to control neoplastic progression, and to prevent therapeutic failures.
    Covers all aspects of the evolution of cancer, appealing to researchers seeking to understand its origins and effects of treatments on its progression, as well as to lecturers in evolutionary medicine
    Functions as both an introduction to cancer and evolution and a review of the current research on this burgeoning, exciting field, presented by an international group of leading editors and contributors
    Improves understanding of the origin and the evolution of cancer, aiding efforts to determine how this disease interferes with biotic interactions that govern ecosystems
    Highlights research that intends to apply evolutionary principles to help predict emergence and metastatic progression with the aim of improving therapies
     

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