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Published on: October 5, 2020
Preclinical to Clinical Translation of Pharmacokinetic-Pharmacodynamic Relationship in EGFR Exon20Ins Mutations: A
Adriana Savoca1, Diana Zindel2, Radoslaw Polanski3
1Clinical Pharmacology and Quantitative Pharmacology, Clinical Pharmacology and Safety Sciences, R&D, AstraZeneca (United Kingdom), Cambridge, United Kingdom.
Abstract:
Epidermal growth factor receptor (EGFR) Exon20 insertions (Exon20Ins) constitute the third most common EGFR activating mutation in non-small cell lung cancer. We developed a semimechanistic pharmacodynamic model for irreversible inhibitors of EGFR Exon20Ins mutations by integrating kinetic data of proprietary compounds with a mechanistic description of EGFR turnover and phosphorylation to investigate the preclinical relationship between phosphorylated EGFR (phosEGFR) reduction and efficacy, and its translation to the clinical setting. In engineered NCI-H2073 cells hosting the Exon20 SVDIns mutation, EGFR turnover was studied via stable isotopic labeling by amino acids in cell culture mass spectrometry and phosEGFR time-course analyzed via ELISA. Kinetic parameters were determined using a biochemical binding assay. These data were integrated into the model to describe phosEGFR inhibition in vitro and in vivo. Tumor volume data from xenograft studies were then used to quantify the relationship between phosEGFR inhibition and antitumor activity. We found that sustained >84% phosEGFR inhibition is required for tumor regression. Clinical phosEGFR simulations were generated for two proprietary inhibitors, providing an early estimation of their active human doses. We also explored clinical phosEGFR reduction induced by the third-generation tyrosine kinase inhibitor osimertinib, suggesting that limited target engagement (TE) may explain modest response achieved in EGFR Exon20Ins at the clinically investigated doses. The developed model is a valuable tool to understand the impact of kinetic characteristics on phosEGFR reduction and related efficacy, select a TE-based criterion for therapeutic dose predictions, and provide interpretation and insights on observed clinical efficacy of irreversible inhibitors in EGFR Exon20Ins.
Insights
Achieving over 84% sustained phosphorylated EGFR (phosEGFR) inhibition is crucial for tumor regression in non-small cell lung cancer with EGFR Exon20 insertions. This pharmacodynamic model aids in predicting effective doses for irreversible inhibitors.
Area of Science:
- Oncology
- Pharmacology
- Biochemistry
Background:
- EGFR Exon20 insertions (Exon20Ins) are a significant driver mutation in non-small cell lung cancer (NSCLC).
- Developing effective therapies for Exon20Ins mutations remains a clinical challenge.
- Understanding the pharmacodynamic relationship between target inhibition and efficacy is critical for drug development.
Purpose of the Study:
- To develop a semi-mechanistic pharmacodynamic model for irreversible EGFR inhibitors targeting Exon20Ins mutations.
- To investigate the preclinical relationship between phosphorylated EGFR (phosEGFR) reduction and anti-tumour efficacy.
- To translate preclinical findings to predict clinical efficacy and guide therapeutic dosing.
Main Methods:
- Integrated kinetic data of proprietary compounds with mechanistic EGFR turnover and phosphorylation models.
- Utilized SILAC MS and ELISA for EGFR turnover and phosEGFR analysis in engineered cell lines.
- Employed xenograft studies to correlate phosEGFR inhibition with tumour volume reduction.
- Generated clinical simulations for proprietary inhibitors and osimertinib.
Main Results:
- Sustained inhibition of phosphorylated EGFR (phosEGFR) exceeding 84% is required for tumour regression.
- The model successfully described in vitro and in vivo phosEGFR inhibition.
- Clinical simulations provided early estimations of active human doses for proprietary inhibitors.
- Limited target engagement of osimertinib may explain modest responses in EGFR Exon20Ins patients.
Conclusions:
- The developed pharmacodynamic model is a valuable tool for understanding drug efficacy in EGFR Exon20Ins NSCLC.
- It enables the selection of target engagement criteria for predicting therapeutic doses.
- The model offers insights into the clinical efficacy of irreversible inhibitors and TKIs in this patient population.
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