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UGT1A1 genotype-dependent dose adjustment of belinostat in patients with advanced cancers using population
Cody J Peer1, Andrew K L Goey1, Tristan M Sissung1
1Clinical Pharmacology Program, National Cancer Institute, NIH, Bethesda, MD, USA.
Abstract:
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.
Insights
Belinostat
Area of Science:
- Pharmacology
- Oncology
- Genetics
Background:
- Belinostat is a histone deacetylase inhibitor used for peripheral T-cell lymphoma.
- Its metabolism is primarily influenced by the polymorphic UGT1A1 enzyme.
- Patient UGT1A1 genotype may affect belinostat clearance.
Purpose of the Study:
- To develop and validate a pharmacokinetic model for belinostat.
- To investigate the impact of UGT1A1 genotype on belinostat exposure.
- To explore genotype-based dose adjustments for improved tolerability.
Main Methods:
- A 2-compartment population pharmacokinetic model was developed.
- Covariates included UGT1A1 genotype, albumin, and creatinine clearance.
- Simulations were used to assess dose adjustments for different metabolizer phenotypes.
Main Results:
- UGT1A1 genotype, albumin, and creatinine clearance significantly impacted belinostat clearance.
- Body weight was a covariate on volume.
- Simulated doses normalized area under the curve (AUC) between extensive and impaired metabolizers.
Conclusions:
- A UGT1A1 genotype-based dose adjustment can normalize belinostat exposure.
- This approach may lead to more tolerable belinostat therapy.
- A reversible belinostat exposure/response relationship was observed.
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