PK/PD Mediated Dose Optimization of Emactuzumab, a CSF1R Inhibitor, in Patients With Advanced Solid Tumors and Diffuse-Type Tenosynovial Giant Cell Tumor.
Antibodies, Monoclonal, Humanized
/ administration & dosage
Antineoplastic Agents, Immunological
/ administration & dosage
Clinical Trials, Phase I as Topic
Drug Administration Schedule
Drug Dosage Calculations
Giant Cell Tumor of Tendon Sheath
/ drug therapy
Humans
Models, Biological
Molecular Targeted Therapy
Receptors, Granulocyte-Macrophage Colony-Stimulating Factor
/ antagonists & inhibitors
Signal Transduction
Treatment Outcome
Journal
Clinical pharmacology and therapeutics
ISSN: 1532-6535
Titre abrégé: Clin Pharmacol Ther
Pays: United States
ID NLM: 0372741
Informations de publication
Date de publication:
09 2020
09 2020
Historique:
received:
08
04
2020
accepted:
04
06
2020
pubmed:
24
6
2020
medline:
26
5
2021
entrez:
24
6
2020
Statut:
ppublish
Résumé
Targeted biological therapies may achieve maximal therapeutic efficacy at doses below the maximum tolerated dose (MTD); therefore, the search for the MTD in clinical studies may not be ideal for these agents. Emactuzumab is an investigational monoclonal antibody that binds to and inhibits the activation of the cell surface colony-stimulating factor-1 receptor. Here, we show how modeling target-mediated drug disposition coupled with pharmacodynamic end points was used to optimize the dose of emactuzumab without defining an MTD. The model could be used to recommend doses across different disease indications. The approach recommended an optimal biological dose of emactuzumab for dosing every 2 weeks (q2w) ≥ 900 mg, approximately three-fold lower than the highest dose tested clinically. The model predicted that emactuzumab doses ≥ 900 mg q2w would achieve target saturation in excess of 90% over the entire dosing cycle. Subsequently, a dose of 1,000 mg q2w was used in the extension phase of a phase I study of emactuzumab in patients with advanced solid tumors or diffuse-type tenosynovial giant cell tumor. Clinical data from this study were consistent with model predictions. The model was also used to predict the optimum dose of emactuzumab for use with dosing every 3 weeks, enabling dosing flexibility with respect to comedications. In summary, this work demonstrates the value of quantitative clinical pharmacology approaches to dose selection in oncology as opposed to traditional MTD methods.
Identifiants
pubmed: 32575160
doi: 10.1002/cpt.1964
pmc: PMC7589268
doi:
Substances chimiques
Antibodies, Monoclonal, Humanized
0
Antineoplastic Agents, Immunological
0
CSF1R protein, human
0
Receptors, Granulocyte-Macrophage Colony-Stimulating Factor
0
emactuzumab
6FY6EI1X8R
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
616-624Informations de copyright
© 2020 The Authors. Clinical Pharmacology & Therapeutics published by Wiley Periodicals LLC on behalf of American Society for Clinical Pharmacology and Therapeutics.
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