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Updated: Jun 3, 2026

Analysis of Side Population in Solid Tumor Cell Lines
Published on: February 23, 2021
Population pharmacokinetic analysis of sorafenib in patients with solid tumours
Lokesh Jain1, Sukyung Woo, Erin R Gardner
1Clinical Pharmacology Program Medical Oncology Branch, National Cancer Institute, NIH, Bethesda, MD 20892, USA.
What Is Already Known About This Subject:
Sorafenib is a multikinase inhibitor with activity against B-raf, C-raf, VEGFR2, PDGFRβ and FGFR1. Sorafenib is clinically approved for the treatment of renal cell carcinoma (RCC) and hepatocellular carcinoma (HCC). The pharmacokinetics (PK) of sorafenib are highly variable between subjects. Sorafenib exposure increases less than dose proportionally (likely due to limited solubility). Sorafenib undergoes enterohepatic recycling (EHC).
What This Study Adds:
This is the first study to characterize the PK of sorafenib using a model based on sorafenib's known disposition characteristics such as delayed/solubility-limited GI absorption and EHC. The parameterization of the EHC model used a square wave function to describe the gall bladder emptying. This study evaluated the effect of baseline bodyweight, BSA, age, gender, liver function parameters, kidney function parameters and genotype with respect to CYP3A4*1B, CYP3A5*3C, UGT1A9*3 and UGT1A9*5 on sorafenib PK. No clinically important covariates were identified. This model can be used to simulate and explore alternative dosing regimens and to develop exposure-response relationships for sorafenib.
Aims:
To characterize the pharmacokinetics (PK) of sorafenib in patients with solid tumours and to evaluate the possible effects of demographic, clinical and pharmacogenetic (CYP3A4*1B, CYP3A5*3C, UGT1A9*3 and UGT1A9*5) covariates on the disposition of sorafenib.
Methods:
PK were assessed in 111 patients enrolled in five phase I and II clinical trials, where sorafenib 200 or 400 mg was administered twice daily as a single agent or in combination therapy. All patients were genotyped for polymorphisms in metabolic enzymes for sorafenib. Population PK analysis was performed by using nonlinear mixed effects modelling (NONMEM). The final model was validated using visual predictive checks and nonparametric bootstrap analysis.
Results:
A one compartment model with four transit absorption compartments and enterohepatic circulation (EHC) adequately described sorafenib disposition. Baseline bodyweight was a statistically significant covariate for distributional volume, accounting for 4% of inter-individual variability (IIV). PK model parameter estimates (range) for an 80 kg patient were clearance 8.13 l h(-1) (3.6-22.3 l h(-1) ), volume 213 l (50-1000 l), mean absorption transit time 1.98 h (0.5-13 h), fraction undergoing EHC 50% and average time to gall bladder emptying 6.13 h.
Conclusions:
Overall, population PK analysis was consistent with known biopharmaceutical/PK characteristics of oral sorafenib. No clinically important PK covariates were identified.
Insights
This study characterized sorafenib pharmacokinetics (PK) in cancer patients, revealing no significant impact from demographic or genetic factors on drug disposition. The developed model aids in optimizing sorafenib dosing and understanding exposure-response relationships.
Area of Science:
- Pharmacology
- Oncology
- Clinical Pharmacy
Background:
- Sorafenib is a multikinase inhibitor approved for renal cell carcinoma (RCC) and hepatocellular carcinoma (HCC).
- Sorafenib exhibits high inter-individual pharmacokinetic variability, likely due to limited solubility and enterohepatic recycling (EHC).
Purpose of the Study:
- To characterize sorafenib pharmacokinetics (PK) in solid tumor patients.
- To assess the influence of demographic, clinical, and pharmacogenetic factors on sorafenib disposition.
Main Methods:
- Population PK analysis using NONMEM in 111 patients receiving sorafenib (200 or 400 mg BID).
- Assessment of covariates including bodyweight, BSA, age, gender, liver/kidney function, and CYP3A4/CYP3A5/UGT1A9 genotypes.
- Model validation through visual predictive checks and nonparametric bootstrap analysis.
Main Results:
- A one-compartment model with four transit absorption compartments and EHC accurately described sorafenib PK.
- Baseline bodyweight was a significant covariate for volume of distribution, explaining 4% of inter-individual variability.
- Key PK parameters were estimated, including clearance, volume, absorption time, and fraction undergoing EHC.
Conclusions:
- The population PK model aligns with known characteristics of oral sorafenib, including delayed absorption and EHC.
- No clinically significant covariates were identified, suggesting limited impact of tested factors on sorafenib PK.
- The model can support simulations for alternative dosing strategies and exposure-response analyses.
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