Model-based prediction of nanoparticle and dissolved form ratios using total concentration data: a case study of SNB-101
This reduced exposure to dissolved SN-38 and irinotecan likely underpins the favorable safety profile observed in dose-escalation studies. This model-based approach underscores the utility of nanoparticle formulations in improving drug delivery and highlights the importance of distinguishing between NP and S forms for accurate efficacy and toxicity predictions. The framework may provide a useful tool for optimizing dose selection and accelerating the clinical development of nanoparticle-based therapeutics.
Authors
- Sangil Jeon (ORCID: https://orcid.org/0000-0002-8256-7611)
- Seunghoon Han (ORCID: https://orcid.org/0000-0002-9976-5120)
- Jong‐Eun Park (ORCID: https://orcid.org/0000-0003-0718-3463)
- Soo Hyeon Bae (ORCID: https://orcid.org/0000-0001-5896-5938)
- Dong Cheol Lee (ORCID: https://orcid.org/0000-0002-1570-3118)
- Young Hwan Park
Institutions
- Korea Research Institute of Bioscience and Biotechnology (KR)
- Catholic University of Korea (KR)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2025-08-21
- DOI
- https://doi.org/10.3389/fphar.2025.1556618
- Primary Topic
- Cancer therapeutics and mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.00