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Metronomic dose-finding approach in oral chemotherapy by experimentally-driven integrative mathematical modeling: Mathematical modeling for oral metronomic therapy of doxorubicin

Cited 1 time in Web of Science Cited 2 time in Scopus
Authors

Kweon, Seho; Jeong, Yoo-Seong; Chung, Seung Woo; Lee, Hanul; Lee, Ha Kyeong; Park, Seong Jin; Choi, Jeong Uk; Park, Jooho; Chung, Suk-Jae; Byun, Youngro

Issue Date
2022-07
Publisher
Pergamon Press Ltd.
Citation
Biomaterials, Vol.286, p. 121584
Abstract
© 2022 Elsevier LtdIn conventional chemotherapy, maximum tolerated dose approach is considered as a first-line medication for cancer treatment in clinics. In contrast to the conventional chemotherapy which has heavy tumor burdens arising from high dose treatment, metronomic chemotherapy (MCT) engages relatively low dose without drug-free breaks, and is recognized as a promising strategy for a long-term management of the disease. Although doxorubicin (DOX), an anthracycline anti-cancer drug, showed a potential of maintenance effect in vitro, further study on in vivo-relevant concentration to achieve tumor suppression with no toxicity is required to apply the MCT in clinicals. Therefore, the objective of this study was to identify an optimal MCT regimen of DOX by determining concentration-response relationships of tumor suppression (pharmacodynamic; PD) and cardiac toxicity (toxicodynamic; TD). Utilizing an oral DOX formulation complexed with deoxycholic acid (DOX/DOCA complex) which has enhanced bioavailability, physiologically-based pharmacokinetic (PBPK) model was linked to TD and PD models to generate drug profiles from the combined PK, TD, and PD parameters. The integrated model was validated for various scenarios of administration route, formulation, dose, and frequency. The established mathematical model facilitated calculations of adequate in vivo-relevant dosages and intervals, suggesting the optimum oral metronomic regimen of DOX. It is expected to serve as a useful guideline for the design and evaluation of oral DOX formulations in future preclinical/clinical studies.
ISSN
0142-9612
URI
https://hdl.handle.net/10371/184875
DOI
https://doi.org/10.1016/j.biomaterials.2022.121584
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