Establishment and validation of a population pharmacokinetic model for apatinib in patients with tumors

Abstract Objective This study aimed to develop a population pharmacokinetic (PPK) model for oral apatinib in Chinese oncology patients and investigate the factors influencing the pharmacokinetics of apatinib. Methods We gathered 199 blood concentration monitoring data points from 91 inpatient oncolo...

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Main Authors: Li’an Zuo, Jing Ling, Nan Hu, Rong Chen
Format: Article
Language:English
Published: BMC 2024-11-01
Series:BMC Cancer
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Online Access:https://doi.org/10.1186/s12885-024-13118-4
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author Li’an Zuo
Jing Ling
Nan Hu
Rong Chen
author_facet Li’an Zuo
Jing Ling
Nan Hu
Rong Chen
author_sort Li’an Zuo
collection DOAJ
description Abstract Objective This study aimed to develop a population pharmacokinetic (PPK) model for oral apatinib in Chinese oncology patients and investigate the factors influencing the pharmacokinetics of apatinib. Methods We gathered 199 blood concentration monitoring data points from 91 inpatient oncology participants receiving oral apatinib at the Third Affiliated Hospital of Soochow University. Covariates, such as age, gender, body weight, and indices of liver and renal function, were examined to assess their influence on the pharmacokinetic parameters of apatinib. The PPK model was developed using the nonlinear mixed-effects modeling procedure (NONMEM), and model validation was conducted using the bootstrap method and normalized prediction distribution error (NPDE) method. Results The structural model adopted a one-compartment structure with first-order elimination. Notably, aspartate aminotransferase (AST) and the co-administered drug type emerged as primary covariates affecting apatinib clearance (CL/F). The finalized model was expressed as CL/F (L/h) = 56.7 × (AST/26.6)−0.298 × θ, when apatinib was combined with monoclonal antibodies, θ was 1; when combined with paclitaxel, θ was 0.58; when combined with other drugs (e.g., platinum, capecitabine, or the combination of tegafur, gimeracil, and oteracil potassium), θ was 1.60; When used as monotherapy, θ was 1.38. V/F = 674 L, and the absorption rate constant (Ka) was fixed at 0.08 h−1. Bootstrap results affirmed the model’s reliability and stability, while NPDE outcomes attested to the model’s fit. Conclusion Our study successfully established a PPK model for apatinib in oncology patients, revealing that liver function status and co-administered drug types significantly impacted apatinib CL/F. This finding underscored the potential necessity for dose adjustments to optimize efficacy, particularly in patients undergoing different chemotherapy regimens involving apatinib.
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spelling doaj-art-1e9096f01ffd4f5b9f7365060cb85dfe2025-08-20T02:18:28ZengBMCBMC Cancer1471-24072024-11-012411910.1186/s12885-024-13118-4Establishment and validation of a population pharmacokinetic model for apatinib in patients with tumorsLi’an Zuo0Jing Ling1Nan Hu2Rong Chen3Department of Pharmacy, The First People’s Hospital of Changzhou, The Third Affiliated Hospital of Soochow UniversityDepartment of Pharmacy, The First People’s Hospital of Changzhou, The Third Affiliated Hospital of Soochow UniversityDepartment of Pharmacy, The First People’s Hospital of Changzhou, The Third Affiliated Hospital of Soochow UniversityDepartment of Pharmacy, The First People’s Hospital of Changzhou, The Third Affiliated Hospital of Soochow UniversityAbstract Objective This study aimed to develop a population pharmacokinetic (PPK) model for oral apatinib in Chinese oncology patients and investigate the factors influencing the pharmacokinetics of apatinib. Methods We gathered 199 blood concentration monitoring data points from 91 inpatient oncology participants receiving oral apatinib at the Third Affiliated Hospital of Soochow University. Covariates, such as age, gender, body weight, and indices of liver and renal function, were examined to assess their influence on the pharmacokinetic parameters of apatinib. The PPK model was developed using the nonlinear mixed-effects modeling procedure (NONMEM), and model validation was conducted using the bootstrap method and normalized prediction distribution error (NPDE) method. Results The structural model adopted a one-compartment structure with first-order elimination. Notably, aspartate aminotransferase (AST) and the co-administered drug type emerged as primary covariates affecting apatinib clearance (CL/F). The finalized model was expressed as CL/F (L/h) = 56.7 × (AST/26.6)−0.298 × θ, when apatinib was combined with monoclonal antibodies, θ was 1; when combined with paclitaxel, θ was 0.58; when combined with other drugs (e.g., platinum, capecitabine, or the combination of tegafur, gimeracil, and oteracil potassium), θ was 1.60; When used as monotherapy, θ was 1.38. V/F = 674 L, and the absorption rate constant (Ka) was fixed at 0.08 h−1. Bootstrap results affirmed the model’s reliability and stability, while NPDE outcomes attested to the model’s fit. Conclusion Our study successfully established a PPK model for apatinib in oncology patients, revealing that liver function status and co-administered drug types significantly impacted apatinib CL/F. This finding underscored the potential necessity for dose adjustments to optimize efficacy, particularly in patients undergoing different chemotherapy regimens involving apatinib.https://doi.org/10.1186/s12885-024-13118-4ApatinibPopulation pharmacokineticsNONMEMGOFNPDE
spellingShingle Li’an Zuo
Jing Ling
Nan Hu
Rong Chen
Establishment and validation of a population pharmacokinetic model for apatinib in patients with tumors
BMC Cancer
Apatinib
Population pharmacokinetics
NONMEM
GOF
NPDE
title Establishment and validation of a population pharmacokinetic model for apatinib in patients with tumors
title_full Establishment and validation of a population pharmacokinetic model for apatinib in patients with tumors
title_fullStr Establishment and validation of a population pharmacokinetic model for apatinib in patients with tumors
title_full_unstemmed Establishment and validation of a population pharmacokinetic model for apatinib in patients with tumors
title_short Establishment and validation of a population pharmacokinetic model for apatinib in patients with tumors
title_sort establishment and validation of a population pharmacokinetic model for apatinib in patients with tumors
topic Apatinib
Population pharmacokinetics
NONMEM
GOF
NPDE
url https://doi.org/10.1186/s12885-024-13118-4
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AT jingling establishmentandvalidationofapopulationpharmacokineticmodelforapatinibinpatientswithtumors
AT nanhu establishmentandvalidationofapopulationpharmacokineticmodelforapatinibinpatientswithtumors
AT rongchen establishmentandvalidationofapopulationpharmacokineticmodelforapatinibinpatientswithtumors