modelPazopanib

Diagram of Pazopanib

Extends from Pharmacolibrary.Drugs.ATC.L.L01EX03.

Information

name:Pazopanib
ATC code:L01EX03
route:oral
compartments:2
dosage:800mg
volume of distribution:111L
clearance:5.4L/h
other parameters in model implementation

Pazopanib is an oral, small-molecule tyrosine kinase inhibitor that targets vascular endothelial growth factor receptor (VEGFR), platelet-derived growth factor receptor (PDGFR), and c-Kit. It is primarily used for the treatment of advanced renal cell carcinoma and advanced soft tissue sarcoma. Pazopanib is approved by regulatory agencies and is currently in clinical use for these indications.

Pharmacokinetics

Pharmacokinetic parameters in adult patients with advanced solid tumors; healthy male and female, multiple ethnicities, after oral administration of pazopanib tablets.

References

  1. Imbs, DC, et al., & Chatelut, E (2014). Pharmacokinetics of pazopanib administered in combination with bevacizumab. Cancer chemotherapy and pharmacology 73(6) 1189–1196. DOI:10.1007/s00280-014-2455-3 PUBMED:https://pubmed.ncbi.nlm.nih.gov/24705975

  2. Turner, DC, et al., & Stewart, CF (2013). Combination metronomic oral topotecan and pazopanib: a pharmacokinetic study in patients with gynecological cancer. Anticancer research 33(9) 3823–3829. PUBMED:https://pubmed.ncbi.nlm.nih.gov/24023315

  3. McLaughlin, MM, et al., & Kim, RY (2013). Initial exploration of oral pazopanib in healthy participants and patients with age-related macular degeneration. JAMA ophthalmology 131(12) 1595–1601. DOI:10.1001/jamaophthalmol.2013.5002 PUBMED:https://pubmed.ncbi.nlm.nih.gov/24113783

Parameters

TypeNameDefaultDescription
Modelica.Units.SI.Massweight (from PK_1C)75patient weight (kg)
Modelica.Units.SI.SpecificVolumeVdPerKg (from PK_1C)0.9Volume of distribution (L/kg)
Modelica.Units.SI.MassFractionF (from PK_1C)0.8bioavailiability (0-1)
Pharmacolibrary.Types.ClearanceCl (from PK_1C)20clearance
Modelica.Units.SI.TimeadminTime (from PK_1C)60first administration time (s)
Modelica.Units.SI.TimeadminDuration (from PK_1C)600administration duration (s)
Modelica.Units.SI.TimeadminPeriod (from PK_1C)8*60*60period of administration (default 8 hours)(s)
Pharmacolibrary.Types.MassadminMass (from PK_1C)1000administration mass (mg)
IntegeradminCount (from PK_1C)8number of dose administered (1)
Pharmacolibrary.Types.VolumeVd (from PK_1C)VdPerKg*weightVolume of distribution (m3)
Pharmacolibrary.Types.MassConcentrationCmin (from PK_1C)0.004minimal therapeutic range
Pharmacolibrary.Types.MassConcentrationCmax (from PK_1C)0.008minimal therapeutic range
Pharmacolibrary.Types.MassConcentrationCtox_peak (from PK_1C)0.012toxicity peak level
Pharmacolibrary.Types.MassConcentrationCtox_trough (from PK_1C)0.006toxicity trough level
Pharmacolibrary.Types.VolumeVdp (from PK_2C)VdpPerKg*weightVolume of distribution (m3)
Modelica.Units.SI.SpecificVolumeVdpPerKg (from PK_2C)0.9Volume of distribution peripheral(l/kg)
Pharmacolibrary.Types.Clearancek12 (from PK_2C)1intercompartmental C-P clearance
Pharmacolibrary.Types.Clearancek21 (from PK_2C)1intercompartmental P-C clearance
Pharmacolibrary.Types.TransferRateka (from PK_2C_enteral)0.016666666666666666first order absorption rate
Modelica.Units.SI.TimeTlag (from PK_2C_enteral)600delay between oral administration and absorption (default 10min)

Connectors

TypeNameDefaultDescription
Types.ConcentrationOutputC_central (from PK_1C)
Interfaces.ConcentrationPort_bcentralCPort (from PK_1C)
Interfaces.ConcentrationPort_bperipheralCPort (from PK_2C)
Pharmacolibrary.Types.ConcentrationOutputC_peripheral1 (from PK_2C)

Components

TypeNameDefaultDescription
Pharmacokinetic.NoPerfusedTissueCompartmentcentral (from PK_1C)
Pharmacokinetic.ClearanceDrivenEliminationelim (from PK_1C)
Sources.PeriodicDoseperiodicDose (from PK_1C)
Modelica.Units.SI.Timet1_2 (from PK_1C)elimination half-life
Pharmacolibrary.Pharmacokinetic.TransferFirstOrderNonSymtransfer (from PK_2C)
Pharmacolibrary.Pharmacokinetic.NoPerfusedTissueCompartmentperipheral (from PK_2C)

Revisions

  • 06/2025 Tomas Kulhanek, generated model from data extracted from PUBMED, DrugBank and LLM(GPT4.1)