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Pharmacokinetic models for first-in-human dose selection of immune-activating products in oncology.
Saber, Haleh; Thompson, Matthew D; Leighton, John K.
Afiliação
  • Saber H; US Food and Drug Administration, Center for Drug Evaluation and Research, Office of Oncologic Diseases, 10903 New Hampshire Ave, Silver Spring, MD, 20903, United States. Electronic address: haleh.saber@fda.hhs.gov.
  • Thompson MD; US Food and Drug Administration, Center for Drug Evaluation and Research, Office of Oncologic Diseases, 10903 New Hampshire Ave, Silver Spring, MD, 20903, United States.
  • Leighton JK; US Food and Drug Administration, Center for Drug Evaluation and Research, Office of Oncologic Diseases, 10903 New Hampshire Ave, Silver Spring, MD, 20903, United States.
Regul Toxicol Pharmacol ; 149: 105616, 2024 May.
Article em En | MEDLINE | ID: mdl-38561147
ABSTRACT
Pharmacokinetic (PK) models are increasingly submitted to the FDA to support first-in-human (FIH) dose selection of immune-oncology products. To examine whether a simple PK modeling (SPM) using clearance for scaling was acceptable for dose estimation, FIH(SPM) doses were computed and compared to doses that were safely administered to patients. We concluded that the SPM approach is acceptable in FIH dose estimation, but the variables should be carefully selected for CD3 constructs. For CD3 constructs, use of 60 kg BWh, a clearance exponent of 0.75, and a targeted plasma concentration based on relevant and/or sensitive activity assays was an acceptable approach for FIH dose selection; use of 0.85 as the scaling factor is questionable at this time as it resulted in a FIH dose that was too close to the AHD for one product (7%). Immune activating mAbs were not sensitive to changes in the clearance exponent (0.75-0.85) or body weight (60-70 kg). For PD-1/PD-L1 mAbs, using products' in vitro EC50 in the model resulted in suboptimal FIH doses and clinical data of closely related products informed FIH dose selection. PK models submitted by sponsors were diverse in methods, assumptions, and variables, and the resulting FIH doses were not always optimal.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Biológicos Limite: Humans Idioma: En Revista: Regul Toxicol Pharmacol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Modelos Biológicos Limite: Humans Idioma: En Revista: Regul Toxicol Pharmacol Ano de publicação: 2024 Tipo de documento: Article