Drug Resistance in Cancer: Mechanisms and Models

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James H. Goldie (University of British Columbia, Vancouver) Andrew J. Coldman (University of British Columbia, Vancouver)

Drug Resistance in Cancer

Mechanisms and Models

James H. Goldie (University of British Columbia, Vancouver), Andrew J. Coldman (University of British Columbia, Vancouver)

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English

Cambridge University Press
07 December 1998

Pre-clinical medicine: basic sciences; Chemotherapy; Pharmacology; Human biology

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. 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. This is the first book to provide such an integrated account, in a form accessible to the average doctor and scientist.

By: James H. Goldie (University of British Columbia Vancouver), Andrew J. Coldman (University of British Columbia, Vancouver)
Imprint: Cambridge University Press
Country of Publication: United Kingdom
Dimensions: Height: 236mm, Width: 158mm, Spine: 21mm
Weight: 530g
ISBN: 9780521482738
ISBN 10: 0521482739
Pages: 256
Publication Date: 07 December 1998
Audience: Professional and scholarly , Undergraduate
Format: Hardback
Publisher's Status: Active

Reviews for Drug Resistance in Cancer: Mechanisms and Models

'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, Annals of Oncology '... required reading for all trainees in oncology.' Paul P. Carbone, Oncology