000			02211nam a22003498i 4500
001			CR9780511666544
003			UkCbUP
005			20200124160247.0
006			m|||||o||d||||||||
007			cr||||||||||||
008			091217s1998||||enk o ||1 0|eng|d
020			_a9780511666544 (ebook)
020			_z9780521482738 (hardback)
020			_z9780521111706 (paperback)
040			_aUkCbUP _beng _erda _cUkCbUP
050	0	0	_aRC271.C5 _bG63 1998
082	0	0	_a616.99/4061 _221
100	1		_aGoldie, James H., _eauthor.
245	1	0	_aDrug resistance in cancer : _bmechanisms and models / _cJ.H. Goldie and A.J. Coldman.
264		1	_aCambridge : _bCambridge University Press, _c1998.
300			_a1 online resource (viii, 247 pages) : _bdigital, PDF file(s).
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
500			_aTitle from publisher's bibliographic system (viewed on 05 Oct 2015).
520			_aWhen this volume was first published in 1998, 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.
650		0	_aDrug resistance in cancer cells.
650		0	_aDrug resistance in cancer cells _xMathematical models.
700	1		_aColdman, Andrew James, _d1952- _eauthor.
776	0	8	_iPrint version: _z9780521482738
856	4	0	_uhttps://doi.org/10.1017/CBO9780511666544
999			_c519131 _d519129