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A novel approach for first-in-human dose selection using population dose-response modelling to find a minimum
Lin Yuan1, Meghana Kulkarni2, Evan Chiswick2
1Fractal Therapeutics, Lexington, MA, USA.
Selecting the first-in-human dose using a population modeling approach based on the minimum anticipated biological effect level (MABEL) ensured the safe clinical translation of a novel stimulator of interferon response cGAMP interactor 1 (STING) agonist.
Area of Science:
- Pharmacology
- Immunology
- Clinical Trial Design
Background:
- First-in-human (FIH) dose selection is critical for Phase I participant safety and achieving therapeutic dose ranges.
- Novel small molecule stimulator of interferon response cGAMP interactor 1 (STING) agonists require robust dose selection strategies.
Purpose of the Study:
- To present a population concentration-response modeling approach for selecting the FIH starting dose of SNX281, a novel STING agonist.
- To establish a methodology for determining the minimum anticipated biological effect level (MABEL) for FIH dose selection.
Main Methods:
- A population concentration-response model was fitted to ex vivo whole blood assay data measuring cytokine induction.
- The MABEL was defined as the lower 10th percentile of the concentration eliciting 10% maximal interferon-β response.
- Ex vivo MABEL was translated to a human MABEL dose using allometric scaling of preclinical pharmacokinetic data.
Main Results:
- The population modeling approach successfully predicted the human dose-peak concentration relationship within 2-fold of clinical findings.
- The MABEL dose, adjusted by a safety factor, was administered in Phase I trials without dose-limiting toxicities.
Conclusions:
- A novel population modeling-based MABEL strategy facilitated the successful clinical translation of a small molecule STING agonist.
- This approach enhances the safety and efficiency of FIH dose selection for immunomodulatory agents.
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