modelDoxorubicin

Diagram of Doxorubicin

Extends from Pharmacolibrary.Drugs.ATC.L.L01DB01.

Information

name:Doxorubicin
ATC code:L01DB01
route:intravenous
compartments:2
dosage:60mg
volume of distribution:25L
clearance:35L/h/m2
other parameters in model implementation

Doxorubicin is an anthracycline antibiotic that is widely used as a cytotoxic agent in the treatment of various cancers, including breast cancer, lymphomas, leukemias, and sarcomas. It works primarily by intercalating DNA and inhibiting topoisomerase II, resulting in inhibition of DNA replication and apoptosis of cancer cells. Doxorubicin is FDA approved and commonly used today, but its use is limited by its potential for cardiotoxicity.

Pharmacokinetics

Pharmacokinetic parameters in adult cancer patients (both sexes), following intravenous administration of a single dose.

References

  1. Xu, G, et al., & Fang, L (2023). Population pharmacokinetics and toxicity correlation analysis of free and liposome-encapsulated doxorubicin in Chinese patients with advanced breast cancer. Cancer chemotherapy and pharmacology 92(3) 181–192. DOI:10.1007/s00280-023-04559-y PUBMED:https://pubmed.ncbi.nlm.nih.gov/37378676

  2. Ismael, G, et al., & Jackisch, C (2012). Subcutaneous versus intravenous administration of (neo)adjuvant trastuzumab in patients with HER2-positive, clinical stage I-III breast cancer (HannaH study): a phase 3, open-label, multicentre, randomised trial. The Lancet. Oncology 13(9) 869–878. DOI:10.1016/S1470-2045(12)70329-7 PUBMED:https://pubmed.ncbi.nlm.nih.gov/22884505

  3. Kontny, NE, et al., & Hempel, G (2013). Population pharmacokinetics of doxorubicin: establishment of a NONMEM model for adults and children older than 3 years. Cancer chemotherapy and pharmacology 71(3) 749–763. DOI:10.1007/s00280-013-2069-1 PUBMED:https://pubmed.ncbi.nlm.nih.gov/23314734

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

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)