AI Article Synopsis

  • This study develops a universal pharmacokinetic (PK) model for MMAE-based antibody-drug conjugates (ADCs) to effectively analyze the PK of various ADCs utilized in clinical settings.
  • A thorough literature review gathered data from clinical trials, resulting in the collection of 109 PK profiles from 18 different MMAE-based ADCs, which were dose-normalized to confirm the model's applicability across multiple ADC types.
  • The study's findings enable predictions of PK exposure metrics based on dose levels, offering a crucial resource for understanding how these drugs behave in the body and establishing links between drug exposure and treatment outcomes.

Article Abstract

Aims: This study aims to develop a generalized pharmacokinetic (PK) model for monomethyl auristatin E (MMAE)-based antibody-drug conjugates (ADCs) that can simultaneously capture the PK of multiple ADC analytes commonly measured in the clinic.

Methods: A comprehensive literature review was conducted to collect PK data on MMAE-based ADCs from clinical trials. From each study, PK profiles of total antibody, the ADC, conjugated MMAE, and unconjugated MMAE, were extracted. These data were pooled and dose-normalized to evaluate the generalizability of PK across various ADCs and dose levels. Upon confirming PK generalizability, a generalized PK model for MMAE-based ADCs was developed using the entire dataset. Furthermore, exposure metrics ( and AUC) reported across the range of doses were combined to establish linear relationships between dose and exposure metrics for MMAE-based ADCs.

Results: A total of 109 PK profiles from 18 distinct MMAE-based ADCs were gathered. The dose-normalized PK profiles supported the generalizability of PK for MMAE-based ADCs. A generalized PK model was developed, which enabled capturing the PK data for 4 ADC analytes across all collected MMAE-based ADCs. A linear relationship between dose and PK exposure metrics was established, enabling the prediction of typical exposure values across different doses for MMAE-based ADCs.

Conclusions: This study comprehensively analysed clinical PK data from different valine-citrulline (vc)-MMAE-based ADCs. The generalized PK model developed here serves as an important tool for a priori prediction of the PK for multiple ADC analytes in clinical settings and lays the foundation for establishing generalized exposure-response and exposure-toxicity correlations for MMAE-based ADCs.

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http://dx.doi.org/10.1111/bcp.16057DOI Listing

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Article Synopsis
  • This study develops a universal pharmacokinetic (PK) model for MMAE-based antibody-drug conjugates (ADCs) to effectively analyze the PK of various ADCs utilized in clinical settings.
  • A thorough literature review gathered data from clinical trials, resulting in the collection of 109 PK profiles from 18 different MMAE-based ADCs, which were dose-normalized to confirm the model's applicability across multiple ADC types.
  • The study's findings enable predictions of PK exposure metrics based on dose levels, offering a crucial resource for understanding how these drugs behave in the body and establishing links between drug exposure and treatment outcomes.
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