J Clin Pharmacol
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First published on September 8, 2008, doi:10.1177/0091270008320604

The Journal of Clinical Pharmacology 2008;48:1254.

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©© 2008 American College of Clinical Pharmacology, Inc.
The Journal of Clinical Pharmacology, 10.1177/0091270008320604


Article

Importance of Characterizing Determinants of Variability in Exposure: Application to Dasatinib in Subjects With Chronic Myeloid Leukemia

Guowei Dai 1*, Marc Pfister 1, Anne Blackwood-Chirchir 2, and Amit Roy 1

1 Bristol-Myers Squibb
2 Genentech

* To whom correspondence should be addressed. E-mail: david.dai{at}bms.com.


   Abstract
Characterizing the key determinants of variability in the exposure of orally administered drugs may be important in understanding the implications of exposure variability on clinical responses. In particular, partitioning overall variability into interoccasion variability (IOV) and interindividual variability (IIV) allows a better assessment of the clinical importance of exposure variability. The IOV characterizes the dose-to-dose variability in exposure within a subject and is likely to be less clinically relevant than IIV for chronically administered drugs as the effect of IOV averages out over repeated dosing. The main aims of this model-based analysis were (1) to characterize the IOV and IIV of dasatinib, a novel, orally administered, multitargeted kinase inhibitor of BCR-ABL and SRC family kinases that is indicated for the treatment of chronic myeloid leukemia and Philadelphia-positive acute lymphoblastic leukemia and (2) to demonstrate using simulated data that it is possible to estimate IIV and IOV in relative bioavailability (FR) of an orally administered drug, given an adequate sampling scheme. Variability in dasatinib exposure was estimated to be mainly due to IOV in FR (44% coefficient of variation [CV]) and, to a lesser extent, due to IIV in FR and IIV in clearance (32% and 25% CV, respectively). The IIV is expected to be more clinically relevant than IOV for chronically administered oral drugs such as dasatinib, as the overall variability in cumulative exposure will be mainly due to IIV. The analysis of simulated data demonstrated that models ignoring either IIV or IOV in FR resulted in upwardly biased estimates of interindividual or residual variability. Thus, it may be important to account for both IIV and IOV in FR, particularly for orally administered agents that exhibit absorption-related variability in exposure.
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