Ecology and Evolution of Cancer
| Author | : Beata Ujvari |
| Publisher | : Academic Press |
| Total Pages | : 292 |
| Release | : 2017-02-08 |
| ISBN-10 | : 9780128043806 |
| ISBN-13 | : 0128043806 |
| Rating | : 4/5 (806 Downloads) |
Download or read book Ecology and Evolution of Cancer written by Beata Ujvari and published by Academic Press. This book was released on 2017-02-08 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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
Top