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DOI 10.1002/jcph.627

Медицинская библиотека · Journal of clinical pharmacology · 2015

UGT1A1 genotype-dependent dose adjustment of belinostat in patients with advanced cancers using population pharmacokinetic modeling and simulation.

Peer Cody J, Goey Andrew K L, Sissung Tristan M, Erlich Sheryl, Lee Min-Jung, Tomita Yusuke, Trepel Jane B, Piekarz Richard, Balasubramaniam Sanjeeve, Bates Susan E, Figg William D

Клиническое исследованиеСтатьяResearch Support, N.I.H., IntramuralПеревод пока не подготовлен

Аннотация

Belinostat is a second-generation zinc-binding histone deacetylase inhibitor that is approved for peripheral T-cell lymphoma and is currently being studied in small cell lung cancer and other advanced carcinomas as a 48-hour continuous intravenous infusion. Belinostat is predominantly metabolized by UGT1A1, which is polymorphic. Preliminary analyses revealed a difference in belinostat clearance based on UGT1A1 genotype. A 2-compartment population pharmacokinetic (PK) model was developed and validated that incorporated the UGT1A1 genotype, albumin, and creatinine clearance on the clearance parameter; body weight was a significant covariate on volume. Simulated doses of 600 and 400 mg/m(2) /24 h given to patients considered extensive or impaired metabolizers, respectively, provided equivalent AUCs. This model and subsequent simulations supported additional PK/toxicity and pharmacogenomics/toxicity analyses to suggest a UGT1A1 genotype-based dose adjustment to normalize belinostat exposure and allow for more tolerable therapy. In addition, global protein lysine acetylation was modeled with PK and demonstrated a reversible belinostat exposure/response relationship, consistent with previous reports.

Для цитирования: Peer Cody J, Goey Andrew K L, Sissung Tristan M, Erlich Sheryl, Lee Min-Jung, Tomita Yusuke, Trepel Jane B, Piekarz Richard, Balasubramaniam Sanjeeve, Bates Susan E, Figg William D. UGT1A1 genotype-dependent dose adjustment of belinostat in patients with advanced cancers using population pharmacokinetic modeling and simulation.. Journal of clinical pharmacology. 2015. DOI: 10.1002/jcph.627.

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