Dose-response in the treatment of breast cancer: a critical review.

1988 ◽  
Vol 6 (9) ◽  
pp. 1501-1515 ◽  
Author(s):  
I C Henderson ◽  
D F Hayes ◽  
R Gelman

In animal tumor models the dose-response curve for cytotoxic agents, especially cyclophosphamide, may be steep, but the slope and shape of this curve depends not only on the drug used but on the schedule of drug administration, the specific tumor type, tumor cell kinetics, and tumor mass. It might be anticipated from these studies that the human tumors most sensitive to dose effects would be leukemia, lymphoma, small-cell carcinoma of the lung, and testicular tumors rather than the low growth fraction, relatively less responsive tumors such as breast cancer. However, the clinical evidence for a steep dose-response curve in any tumor type is limited. For breast cancer such evidence is largely retrospective or derived from uncontrolled trials. The data available from randomized trials makes it seem unlikely that small, or even moderate, reductions in drug dose for nontrivial reasons will compromise the survival of patients with either early or metastatic disease. In spite of promising data from small trials, there is, as yet, inadequate evidence to justify the use of very-high-dose therapy and autologous marrow transplant outside the setting of a well-designed clinical trial. The value of high-dose therapy, intensive dose rate, and cumulative drug dose should each be studied in randomized controlled trials.

2001 ◽  
Vol 14 (1) ◽  
pp. 3-7
Author(s):  
Bryan Hennessy ◽  
M. John Kennedy

Dose-Response ◽  
2009 ◽  
Vol 7 (2) ◽  
pp. dose-response.0 ◽  
Author(s):  
Abraham Peper

It is generally assumed that there exists a well-defined relationship between drug dose and drug effect and that this can be expressed by a dose-response curve. This paper argues that there is no such clear relation and that the dose-response curve provides only limited information about the drug effect. It is demonstrated that tolerance development during the measurement of the dose-response curve may cause major distortion of the curve and it is argued that the curve may only be used to indicate the response to the first administration of a drug, before tolerance has developed. The precise effect of a drug on an individual depends on the dynamic relation between several variables, particularly the level of tolerance, the dose anticipated by the organism and the actual drug dose. Simulations with a previously published mathematical model of drug tolerance demonstrate that the effect of a dose smaller than the dose the organism has developed tolerance to is difficult to predict and may be opposite to the action of the usual dose.


1994 ◽  
Vol 298 (1) ◽  
pp. 171-180 ◽  
Author(s):  
P W Kühl

A kinetic model, called the Recovery Model, which incorporates an obligatory recovery phase of fixed duration (tr) in the operation cycle of a macromolecule (enzyme, receptor) is proposed. Binding of a ligand (substrate, agonist) during tr disturbs the recovery process and causes inhibition (substrate inhibition, agonist autoinhibition). A quantitative stochastic analysis of a minimal version of the Recovery Model reveals that (1) plotting the response versus the logarithm of the ligand concentration never yields a strictly symmetrical bell-shaped dose-response curve, (2) the position and shape of the descent of the dose-response curve can vary greatly in dependence of the kinetic parameters of the system, and (3) a minimal steepness of the descent with a Hill coefficient of 1 exists provided that the response can be totally inhibited by high ligand concentrations. The Recovery Model is equally applicable to macromolecules that can bind single or multiple ligands, and suggests new ways to explain such diverse phenomena as partial agonism, pulse generation, desensitization, memory effects and ultrasensitivity. In addition, substrate inhibition and agonist autoinhibition are regarded as phenomena closely related to other kinds of non-Michaelian behaviour because of a common temporal mechanism, namely the temporal interference of arriving ligand molecules with timing-sensitive phases of the operation cycle.


1996 ◽  
Vol 2 (1 Suppl) ◽  
pp. 11-17 ◽  
Author(s):  
K. K. Fields ◽  
J. S. Partyka ◽  
J. B. Perkins ◽  
G. J. Elfenbein

Blood Reviews ◽  
1995 ◽  
Vol 9 (3) ◽  
pp. 191-200 ◽  
Author(s):  
L. Vahdat ◽  
K. Antman

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