How ‘Optimal’ are Optimal Sampling Times for Tyrosine Kinase Inhibitors in Cancer? Practical Considerations
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- 作者：Michael B. Ward ; Stephanie E. Reuter ; Jennifer H. Martin
- 刊名：Clinical Pharmacokinetics
- 出版年：2016
- 出版时间：October 2016
- 年：2016
- 卷：55
- 期：10
- 页码：1171-1177
- 全文大小：493 KB
- 刊物主题：Pharmacotherapy; Pharmacology/Toxicology; Internal Medicine;
- 出版者：Springer International Publishing
- ISSN：1179-1926
- 卷排序：55
文摘
Tyrosine kinase inhibitors have been marketed as a fixed dose, ‘one size fits all’ treatment strategy. Physicians have also been interested in this method of dosing, knowing the complex planning of other current cancer therapies administered on a mg/m2 or mg/kg basis and subsequent occurrence of dosing error or concern for underdosing. The ‘simple and safe’ strategy of a single dose of tyrosine kinase inhibitor for cancer has thus been widely adopted. However, the benefits purported to exist in the clinical trials do not appear to be borne out in clinical practice, particularly in solid tumours. In order to investigate whether pharmacokinetic variability is a contributor to the variable outcomes, pharmacokinetic targets to enable individualisation of tyrosine kinase inhibitor administration are now emerging. Evidence suggests there is not a clear relationship of a single dose to maximum plasma concentration (Cmax), steady-state trough concentration (Ctrough) or area under the curve (AUC). Furthermore, a significant number of questions remain related to the specific timing and frequency of sample collection required to achieve optimal outcomes. This article reviews the wide variability in the literature on this topic, specifically the different pharmacokinetic targets of the same drug for different cancers, for different states of cancer, and changing pharmacokinetic parameters over a treatment interval in cancer. It appears the optimal sampling times to enable appropriate dose recommendations across patients and diseases may vary, and are not always trough concentrations at steady state. Importantly, the need to be pragmatic in a clinical setting is paramount. Lastly, international collaborations to increase sample size are highly recommended to ensure enough patients are sampled to be sure of a clinical benefit from this concentration-directed methodology.