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Dose Optimization of ClpP Agonists Using an In Vitro Microfluidic Perfusion Platform and In Silico
Ronald W Bucher1, Lee M Graves2, Derek W Bartlett3
1Division of Pharmacotherapy and Experimental Therapeutics, Eshelman School of Pharmacy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Abstract:
Small molecule activators of the mitochondrial caseinolytic protease P (ClpP agonists) can disrupt tumor metabolism and deprive tumors of their energy needs. The imipridone, ONC201, is a ClpP agonist currently undergoing clinical evaluation across multiple cancer types, while additional analogs with improved potency and selectivity are in preclinical development. Preclinical studies in mice have demonstrated a unique pharmacokinetic-pharmacodynamic (PK-PD) relationship for ONC201 characterized by prolonged pharmacology following a single dose. This motivated the selection of an initial human dosing regimen of every three weeks, and subsequent dose exploration studies in mice led to dose intensification in human patients. However, a systematic analysis of ClpP agonist PK-PD relationships has not been performed, and the optimal exposure profile for ClpP agonists remains undefined. To address this gap, we combined PK-PD modeling with a microfluidic perfusion platform as an animal-alternative approach for translational PK-PD of ClpP agonists. We demonstrate that the anti-proliferative effect on triple negative breast cancer cells correlates with the magnitude and duration of ClpP agonist exposure above a threshold concentration required for ClpP activation. Moreover, we demonstrate that PK-PD model simulations using parameters derived from microfluidic perfusion datasets can successfully predict the anti-tumor efficacy of a ClpP agonist in a mouse tumor xenograft study. These studies support the translational relevance of the animal-alternative in vitro PK-PD platform and its utility to help guide dose optimization of ClpP agonists as cancer therapeutics.
Insights
Small molecule ClpP agonists disrupt cancer metabolism. An animal-alternative platform predicts anti-tumor efficacy by correlating cell proliferation with drug exposure duration and concentration, guiding cancer therapeutic development.
Area of Science:
- Oncology
- Pharmacology
- Biochemistry
Background:
- Small molecule activators of mitochondrial caseinolytic protease P (ClpP agonists) target tumor metabolism.
- ONC201, an imipridone ClpP agonist, is in clinical trials; analogs are in preclinical development.
- Previous studies showed a unique, prolonged pharmacokinetic-pharmacodynamic (PK-PD) relationship for ONC201 in mice, influencing human dosing strategies.
Purpose of the Study:
- To systematically analyze PK-PD relationships for ClpP agonists.
- To define the optimal exposure profile for ClpP agonists as cancer therapeutics.
- To validate an animal-alternative platform for translational PK-PD studies of ClpP agonists.
Main Methods:
- Combined PK-PD modeling with a microfluidic perfusion platform.
- Assessed anti-proliferative effects on triple-negative breast cancer cells.
- Validated PK-PD model predictions in a mouse tumor xenograft study.
Main Results:
- Anti-proliferative effects correlated with the magnitude and duration of ClpP agonist exposure above a ClpP activation threshold.
- PK-PD model simulations using microfluidic data successfully predicted in vivo anti-tumor efficacy.
- Demonstrated translational relevance of the in vitro PK-PD platform.
Conclusions:
- The microfluidic platform provides a viable animal-alternative for translational PK-PD studies of ClpP agonists.
- This approach can guide dose optimization for ClpP agonists in cancer therapy.
- Understanding PK-PD relationships is crucial for developing effective ClpP agonist cancer treatments.
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