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Drug Resistance in Cancer Mechanisms and Models [Paperback]

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  • Category: Books (Medical)
  • Author:  Goldie, James H., Coldman, Andrew J.
  • Author:  Goldie, James H., Coldman, Andrew J.
  • ISBN-10:  0521111706
  • ISBN-10:  0521111706
  • ISBN-13:  9780521111706
  • ISBN-13:  9780521111706
  • Publisher:  Cambridge University Press
  • Publisher:  Cambridge University Press
  • Pages:  256
  • Pages:  256
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-May-2009
  • Pub Date:  01-May-2009
  • SKU:  0521111706-11-MPOD
  • SKU:  0521111706-11-MPOD
  • Item ID: 100761802
  • Seller: ShopSpell
  • Ships in: 2 business days
  • Transit time: Up to 5 business days
  • Delivery by: Dec 25 to Dec 27
  • Notes: Brand New Book. Order Now.
An accessible and sophisticated account of the biological mechanisms of drug resistance in cancer and their mathematical modelling.Drug resistance in cancer, whereby a proportion of cancer cells evades chemotherapy, poses a profound and continuing challenge for the effective treatment of cancer. The principles underlying the biological mechanisms behind this phenomenon are clearly understood and explained in this volume. However, a deeper understanding of drug resistance requires a quantitative appreciation of the dynamic forces which shape tumour growth, including spontaneous mutation and selection processes. The authors seek to explain and to simplify these complex mechanisms, and to place them in a clinical context.Drug resistance in cancer, whereby a proportion of cancer cells evades chemotherapy, poses a profound and continuing challenge for the effective treatment of cancer. The principles underlying the biological mechanisms behind this phenomenon are clearly understood and explained in this volume. However, a deeper understanding of drug resistance requires a quantitative appreciation of the dynamic forces which shape tumour growth, including spontaneous mutation and selection processes. The authors seek to explain and to simplify these complex mechanisms, and to place them in a clinical context.Drug resistance in cancer, whereby a portion of cancer cells evades chemotherapy, poses a profound and continuing challenge for the effective treatment of cancer. The principles underlying the biological mechanisms behind this phenomenon are clearly explained in this volume. A deeper understanding of drug resistance requires a quantitative appreciation of the dynamic forces that shape tumor growth, including spontaneous mutation and selection processes. The authors seek to explain and to simplify these complex mechanisms, and to place them in a clinical context. Clearly explained mathematical models are used to illustrate the biological principles and provide alÓ„
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