PBPK modeling-based optimization of site-specific chemo-photodynamic therapy with far-red light-activatable paclitaxel prodrug.


Journal

Journal of controlled release : official journal of the Controlled Release Society
ISSN: 1873-4995
Titre abrégé: J Control Release
Pays: Netherlands
ID NLM: 8607908

Informations de publication

Date de publication:
28 08 2019
Historique:
received: 08 05 2019
revised: 03 07 2019
accepted: 08 07 2019
pubmed: 13 7 2019
medline: 2 10 2020
entrez: 13 7 2019
Statut: ppublish

Résumé

Photodynamic therapy (PDT) is a clinically approved therapeutic modality to treat certain types of cancers. However, incomplete ablation of tumor is a challenge. Visible and near IR-activatable prodrug, exhibiting the combined effects of PDT and local chemotherapy, showed better efficacy than PDT alone, without systemic side effects. Site-specifically released chemotherapeutic drugs killed cancer cells surviving from rapid PDT damage via bystander effects. Recently, we developed such a paclitaxel (PTX) prodrug that targets folate receptors. The goals of this study were to determine the optimal treatment conditions, based on modeling, for maximum antitumor efficacy in terms of drug-light interval (DLI), and to investigate the impact of rapid PDT effects on the pharmacokinetic (PK) profiles of the released PTX. PK profiles of the prodrug were determined in key organs and a quantitative systems pharmacology (QSP) model was established to simulate PK profiles of the prodrug and the released PTX. Three illumination time points (DLI = 0.5, 9, or 48 h) were selected for the treatment based on the plasma/tumor ratio of the prodrug to achieve V-PDT (vascular targeted-PDT, 0.5 h), C-PDT (cellular targeted-PDT, 48 h), or both V- and C-PDT (9 h). The anti-tumor efficacy of the PTX prodrug was greatly influenced by the DLI. The 9 h DLI group, when both tumor and plasma concentrations of the prodrug were sufficient, showed the best antitumor effect. The clearance of the released PTX from tumor seemed to be largely impacted by blood circulation. Here, QSP modeling was an invaluable tool for rational optimization of the treatment conditions and for a deeper mechanistic understanding of the positive physiological effect of the combination therapy.

Identifiants

pubmed: 31299262
pii: S0168-3659(19)30397-9
doi: 10.1016/j.jconrel.2019.07.010
pmc: PMC6710169
mid: NIHMS1535305
pii:
doi:

Substances chimiques

Antineoplastic Agents, Phytogenic 0
Prodrugs 0
Paclitaxel P88XT4IS4D

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

86-97

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM113940
Pays : United States

Informations de copyright

Copyright © 2019 Elsevier B.V. All rights reserved.

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Auteurs

Mengjie Li (M)

Department of Pharmaceutical Sciences, College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City 73117, OK, USA.

Luong Nguyen (L)

Department of Pharmaceutical Sciences, College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City 73117, OK, USA.

Bharathiraja Subramaniyan (B)

Department of Pharmaceutical Sciences, College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City 73117, OK, USA.

Moses Bio (M)

Department of Pharmaceutical Sciences, College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City 73117, OK, USA.

Cody J Peer (CJ)

Clinical Pharmacology Program, National Cancer Institute, NIH, Bethesda 20892, MD, USA.

Jessica Kindrick (J)

Clinical Pharmacology Program, National Cancer Institute, NIH, Bethesda 20892, MD, USA.

William D Figg (WD)

Clinical Pharmacology Program, National Cancer Institute, NIH, Bethesda 20892, MD, USA.

Sukyung Woo (S)

Department of Pharmaceutical Sciences, College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City 73117, OK, USA. Electronic address: sukyung-woo@ouhsc.edu.

Youngjae You (Y)

Department of Pharmaceutical Sciences, College of Pharmacy, University of Oklahoma Health Sciences Center, Oklahoma City 73117, OK, USA. Electronic address: youngjae-you@ouhsc.edu.

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