Abstract

In recent, Botulinum Neurotoxin A1 (BoNT/A1) has been suggested as a potential anticancer agent due to neuronal innervation in tumor cells. Although potential BoNT/A1’s mechanism of action for the tumor suppression has been gradually revealed so far, there were no reports to figure out the exposure-response relationships because of the difficulty of its quantitation in the biological matrix. The main objectives of this study were to measure the anticancer effect of BoNT/A1 using a syngeneic mouse model transplanted with melanoma cells (B16-F10) and developed a kinetic-pharmacodynamic (K-PD) model for quantitative exposure-response evaluation. To overcome the lack of exposure information, the K-PD model was implemented by the virtual pharmacokinetic compartment link to the pharmacodynamic compartment of Simeoni’s tumor growth inhibition model and evaluated using curve-fitting for the tumor growth-time profile after intratumoral injection of BoNT/A1. The final K-PD model was adequately explained for a pattern of tumor growth depending on represented exposure parameters and simulation studies were conducted to determine the optimal dose under various scenarios considering dose strength and frequency. The optimal dose range and regimen of ≥13.8 units kg−1 once a week or once every 3 days was predicted using the final model in B16-F10 syngeneic model and it was demonstrated with an extra in-vivo experiment. In conclusion, the K-PD model of BoNT/A1 was well developed to optimize the dosing regimen for evaluation of anticancer effect and this approach could be expandable to figure out quantitative interpretation of BoNT/A1’s efficacy in various xenograft and/or syngeneic models.

Highlights

  • Botulinum neurotoxins (BoNTs) are generated by the anaerobic bacterium Clostridium botulinum

  • We developed a mathematical model to explain the tumorsuppressing effect of Botulinum Neurotoxin A1 (BoNT/A1) in B16-F10 melanoma cancer cells

  • The virtual PK compartment of the K-PD model was used as the model setup for the PK part in a situation where PK data were not available, and the PD part of the Simeoni tumor growth inhibition (TGI) model was used to explain the tumor growth aspect in our dataset

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Summary

Introduction

Botulinum neurotoxins (BoNTs) are generated by the anaerobic bacterium Clostridium botulinum. Owing to the increased understanding of the pharmacological importance of neovascularization and neuronal signaling in maintaining the tumor microenvironment there are several studies on the anticancer effect of BoNT/A1. It has been studied in various tumor types, including glioblastoma, Model-Based BoNT/A1 Anticancer Effect Interpretation neuroblastoma, prostate, breast, and colorectal cancer (Nam et al, 2012; Proietti et al, 2012; Ulloa et al, 2015; Rust et al, 2016; Mittal and Jabbari, 2020). Melanoma can directly and precisely inject BoNT/A1 into the tumor site; we focused on it

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