modelGefitinib_1

Diagram of Gefitinib_1

Extends from Pharmacolibrary.Drugs.ATC.L.L01EB01_1.

Information

name:Gefitinib_1
ATC code:L01EB01_1
route:oral
compartments:2
dosage:250mg
volume of distribution:1120L
clearance:24.9L/h
other parameters in model implementation

Gefitinib is an oral, selective epidermal growth factor receptor (EGFR) tyrosine kinase inhibitor used primarily in the treatment of non-small cell lung cancer (NSCLC) harboring EGFR mutations. It is approved and widely used for advanced NSCLC therapy.

Pharmacokinetics

Population PK in Chinese NSCLC patients, both sexes, median age ~55; normal hepatic and renal function.

References

  1. Ballard, P, et al., & Cross, D (2016). Preclinical Comparison of Osimertinib with Other EGFR-TKIs in EGFR-Mutant NSCLC Brain Metastases Models, and Early Evidence of Clinical Brain Metastases Activity. Clinical cancer research : an official journal of the American Association for Cancer Research 22(20) 5130–5140. DOI:10.1158/1078-0432.CCR-16-0399 PUBMED:https://pubmed.ncbi.nlm.nih.gov/27435396

  2. Xiong, W, et al., & Girard, P (2022). Population pharmacokinetic analysis of tepotinib, an oral MET kinase inhibitor, including data from the VISION study. Cancer chemotherapy and pharmacology 89(5) 655–669. DOI:10.1007/s00280-022-04423-5 PUBMED:https://pubmed.ncbi.nlm.nih.gov/35385993

  3. Sanford, M, & Scott, LJ (2009). Gefitinib: a review of its use in the treatment of locally advanced/metastatic non-small cell lung cancer. Drugs 69(16) 2303–2328. DOI:10.2165/10489100-000000000-00000 PUBMED:https://pubmed.ncbi.nlm.nih.gov/19852530

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)