Skip to main content Accessibility help
×
  • Cited by 52
Publisher:
Cambridge University Press
Online publication date:
May 2010
Print publication year:
1998
Online ISBN:
9780511666544

Book description

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 that 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. Clearly explained mathematical models are used to illustrate the biological principles and provide an insight into tumour development and the effectiveness and limitations of drug treatment. It is suitable for those with a non-mathematical background and aims to enhance the effectiveness of cancer therapy.

Reviews

‘However, this volume provides a very good overview of the drug resistance field with special emphasis on mathematical models and can be recommended to everyone interested in the field. Even those who see math as an alien subject will find this book useful, since the mathematical portions of the text have been kept as straightforward as possible. The book is a good source of references and suggestions for further reading and should interest a wide readership including clinicians, molecular biologists, and researchers interested in tumor growth, tumor killing and mutation models.’

V. Spataro Source: Annals of Oncology

‘… required reading for all trainees in oncology.’

Paul P. Carbone Source: Oncology

Refine List

Actions for selected content:

Select all | Deselect all
  • View selected items
  • Export citations
  • Download PDF (zip)
  • Save to Kindle
  • Save to Dropbox
  • Save to Google Drive

Save Search

You can save your searches here and later view and run them again in "My saved searches".

Please provide a title, maximum of 40 characters.
×

Contents

Metrics

Full text views

Total number of HTML views: 0
Total number of PDF views: 0 *
Loading metrics...

Book summary page views

Total views: 0 *
Loading metrics...

* Views captured on Cambridge Core between #date#. This data will be updated every 24 hours.

Usage data cannot currently be displayed.