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Systematic review uses PBPK modeling to guide niraparib dose adjustments in hepatic impairment

Systematic review uses PBPK modeling to guide niraparib dose adjustments in hepatic impairment
Photo by Haberdoedas / Unsplash
Key Takeaway
Consider PBPK modeling data for niraparib dose adjustments in hepatic impairment defined by total bilirubin.

This systematic review employs physiologically based pharmacokinetic (PBPK) modeling to predict optimal niraparib dosing strategies for patients with hepatic impairment. The authors categorized impairment using NCI-ODWG criteria based on total bilirubin levels. The comparator group consisted of patients with normal hepatic function receiving a full dose of 300 mg. The primary focus was on steady-state niraparib total concentration in plasma AUCs and developing dose adjustment strategies. Safety data were not reported in this modeling exercise.

The modeling results indicated that under a 300 mg once-daily regimen, AUCs increased by 33%, 57%, 71%, and 101% for mild, moderate, severe60, and severe120 hepatic impairment groups respectively compared to predicted normal values. When mean AUCs were assessed after dose adjustments to 250 mg for mild, 200 mg for moderate, and 150 mg for severe60 and severe120 impairment, values remained within a plus or minus 20% range for all compartments compared to normal function patients.

The authors note that this evidence is model based on simulations rather than clinical trial data. Model validation against independent datasets confirmed performance, but findings are based on simulations. The review provides a framework for dose adjustment in patients with hepatic impairment. Clinicians should not infer clinical efficacy or safety from modeling alone. Generalization is limited to hepatic impairment defined by total bilirubin.

Study Details

Study typeSystematic review
EvidenceLevel 1
PublishedMay 2026
View Original Abstract ↓
ObjectiveTo develop a physiologically based pharmacokinetic (PBPK) model of niraparib, predictive of optimal dosage in patients with hepatic impairment and of key pharmacological factors of toxicity.MethodsA comprehensive systematic literature review was conducted in PubMed and ClinicalTrials.gov, to gather all sources reporting niraparib PK data, in accordance with PRISMA guidelines. The PBPK model of niraparib was built using the PK-Sim® software (version 12.1). Parameter calibration was performed using an Approximate Bayesian Computation Sequential Monte Carlo (ABC-SMC) approach, which was implemented in R (version 4.0.2). Model development, analysis, validation, and forward simulations were performed using the Open Systems Pharmacology (OSP) suite (version 12.3.1) in R.ResultsFive drug-specific parameters (LogP, pKa, intestinal permeability, renal clearance, and carboxylesterase 1 (CES1) metabolism specific clearance (CLspec)) were optimized to reproduce plasma concentration–time profiles across dose levels, consistent with mass balance data. Validation against independent datasets confirmed model performance. Hepatic impairment was defined by NCI-ODWG criteria, with CES1 CLspec modeled as a power function of total bilirubin (TBIL) in plasma, to capture impaired clearance. PK simulations under a 300 mg QD regimen across four hepatic impairment groups categorized by μM values of TBIL (mild, moderate, severe60, severe120) demonstrated an increase in steady-state niraparib total concentration in plasma AUCs vs. the predicted normal value of 4155 μM·min, by 33%, 57%, 71% and 101%. Upon dose adjustments to 250 mg for mild, 200 mg for moderate, and 150 mg for the severe60 and severe120 categories, simulations predicted mean AUCs which remained within a ±20% range for all compartments, as compared to patients with normal hepatic function receiving the full dose of 300 mg. A sensitivity analysis showed that pKa and CLspec were the strongest determinants of exposure in the tissue intracellular compartments.ConclusionThe PBPK model reliably reproduced clinical pharmacokinetics, supported dose adjustment strategies for hepatic impairment, and provides a framework for exploring niraparib safety and further dosing in special populations.
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