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Population pharmacokinetic-pharmacodynamic modeling of serum biomarkers as predictors of tumor dynamics following lenvatinib treatment in patients with radioiodine-refractory differentiated thyroid cancer (RR-DTC).
- Source :
-
CPT: pharmacometrics & systems pharmacology [CPT Pharmacometrics Syst Pharmacol] 2024 Jun; Vol. 13 (6), pp. 954-969. Date of Electronic Publication: 2024 Mar 26. - Publication Year :
- 2024
-
Abstract
- Lenvatinib is a receptor tyrosine kinase (RTK) inhibitor targeting vascular endothelial growth factor (VEGF) receptors 1-3, fibroblast growth factor (FGF) receptors 1-4, platelet-derived growth factor receptor-α (PDGFRα), KIT, and RET that have been implicated in pathogenic angiogenesis, tumor growth, and cancer. The primary objective of this work was to evaluate, by establishing quantitative relationships, whether lenvatinib exposure and longitudinal serum biomarker data (VEGF, Ang-2, Tie-2, and FGF-23) are predictors for change in longitudinal tumor size which was assessed based on data from 558 patients with radioiodine-refractory differentiated thyroid cancer (RR-DTC) receiving either lenvatinib or placebo treatment. Lenvatinib PK was best described by a 3-compartment model with simultaneous first- and zero-order absorption and linear elimination from the central compartment with significant covariates (body weight, albumin <30 g/dL, ALP>ULN, RR-DTC, RCC, HCC subjects, and concomitant CYP3A inhibitors). Except for body weight, none of the covariates have any clinically meaningful effect on exposure to lenvatinib. Longitudinal biomarker measurements over time were reasonably well defined by a PK/PD model with common EC <subscript>50</subscript> , E <subscript>max</subscript> , and a slope for disease progression for all biomarkers. Longitudinal tumor measurements over time were reasonably well defined by a tumor growth inhibition E <subscript>max</subscript> model, which in addition to lenvatinib exposure, included model-predicted relative changes from baseline over time for Tie-2 and Ang-2 as having significant association with tumor response. The developed PK/PD models pave the way for dose optimization and potential prediction of clinical response.<br /> (© 2024 The Authors. CPT: Pharmacometrics & Systems Pharmacology published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.)
- Subjects :
- Humans
Male
Female
Middle Aged
Adult
Aged
Biomarkers, Tumor blood
Models, Biological
Antineoplastic Agents pharmacokinetics
Antineoplastic Agents therapeutic use
Antineoplastic Agents administration & dosage
Antineoplastic Agents pharmacology
Protein Kinase Inhibitors pharmacokinetics
Protein Kinase Inhibitors administration & dosage
Protein Kinase Inhibitors therapeutic use
Protein Kinase Inhibitors pharmacology
Protein Kinase Inhibitors blood
Vascular Endothelial Growth Factor A blood
Receptor, TIE-2 blood
Young Adult
Angiopoietin-2 blood
Quinolines pharmacokinetics
Quinolines administration & dosage
Quinolines therapeutic use
Quinolines blood
Quinolines pharmacology
Phenylurea Compounds pharmacokinetics
Phenylurea Compounds administration & dosage
Phenylurea Compounds therapeutic use
Phenylurea Compounds blood
Phenylurea Compounds pharmacology
Thyroid Neoplasms drug therapy
Thyroid Neoplasms blood
Thyroid Neoplasms pathology
Iodine Radioisotopes pharmacokinetics
Iodine Radioisotopes therapeutic use
Subjects
Details
- Language :
- English
- ISSN :
- 2163-8306
- Volume :
- 13
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- CPT: pharmacometrics & systems pharmacology
- Publication Type :
- Academic Journal
- Accession number :
- 38528813
- Full Text :
- https://doi.org/10.1002/psp4.13130