Literature DB >> 31299262

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

Mengjie Li1, Luong Nguyen1, Bharathiraja Subramaniyan1, Moses Bio1, Cody J Peer2, Jessica Kindrick2, William D Figg2, Sukyung Woo3, Youngjae You4.   

Abstract

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

Entities:  

Keywords:  Combination therapy; Drug delivery; Paclitaxel prodrug; Photodynamic therapy; Physiologically based pharmacokinetic model; Quantitative system pharmacology

Year:  2019        PMID: 31299262      PMCID: PMC6710169          DOI: 10.1016/j.jconrel.2019.07.010

Source DB:  PubMed          Journal:  J Control Release        ISSN: 0168-3659            Impact factor:   9.776


  52 in total

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Review 5.  Vascular effects of photodynamic therapy.

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Journal:  J Cell Biochem       Date:  2001-03-26       Impact factor: 4.429

Review 7.  Folate receptor-mediated drug targeting: from therapeutics to diagnostics.

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Journal:  J Pharm Sci       Date:  2005-10       Impact factor: 3.534

8.  The folate receptor alpha is frequently overexpressed in osteosarcoma samples and plays a role in the uptake of the physiologic substrate 5-methyltetrahydrofolate.

Authors:  Rui Yang; E Anders Kolb; Jing Qin; Alexander Chou; Rebecca Sowers; Bang Hoang; John H Healey; Andrew G Huvos; Paul A Meyers; Richard Gorlick
Journal:  Clin Cancer Res       Date:  2007-05-01       Impact factor: 12.531

9.  The photodegradation of porphyrins in cells can be used to estimate the lifetime of singlet oxygen.

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Journal:  Photochem Photobiol       Date:  1991-04       Impact factor: 3.421

10.  Timing of illumination is essential for effective and safe photodynamic therapy: a study in the normal rat oesophagus.

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Journal:  Br J Cancer       Date:  1999-02       Impact factor: 7.640

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  6 in total

1.  Local and Systemic Antitumor Effects of Photo-activatable Paclitaxel Prodrug on Rat Breast Tumor Models.

Authors:  Bharathiraja Subramaniyan; Pallavi Rajaputra; Luong Nguyen; Mengjie Li; Cody J Peer; Jessica Kindrick; William D Figg; Sukyung Woo; Youngjae You
Journal:  Photochem Photobiol       Date:  2020-03-09       Impact factor: 3.421

Review 2.  Development of Prodrugs for PDT-Based Combination Therapy Using a Singlet-Oxygen-Sensitive Linker and Quantitative Systems Pharmacology.

Authors:  Luong Nguyen; Mengjie Li; Sukyung Woo; Youngjae You
Journal:  J Clin Med       Date:  2019-12-13       Impact factor: 4.241

Review 3.  Recent applications of quantitative systems pharmacology and machine learning models across diseases.

Authors:  Sara Sadat Aghamiri; Rada Amin; Tomáš Helikar
Journal:  J Pharmacokinet Pharmacodyn       Date:  2021-10-20       Impact factor: 2.410

4.  Low-Intensity Light-Responsive Anticancer Activity of Platinum(II) Complex Nanocolloids on 2D and 3D In Vitro Cancer Cell Model.

Authors:  Viviana Vergaro; Francesca Baldassarre; Federica De Castro; Danilo Migoni; Maria Michela Dell'Anna; Piero Mastrorilli; Francesco Paolo Fanizzi; Giuseppe Ciccarella
Journal:  Bioinorg Chem Appl       Date:  2022-04-23       Impact factor: 4.724

5.  Multiphysics pharmacokinetic model for targeted nanoparticles.

Authors:  Emma M Glass; Sahil Kulkarni; Christina Eng; Shurui Feng; Avishi Malaviya; Ravi Radhakrishnan
Journal:  Front Med Technol       Date:  2022-07-15

6.  A Quantitative Pharmacology Model of Exosome-Mediated Drug Efflux and Perturbation-Induced Synergy.

Authors:  Jin Wang; Bertrand Z Yeung; M Guillaume Wientjes; Minjian Cui; Cody J Peer; Ze Lu; William D Figg; Sukyung Woo; Jessie L-S Au
Journal:  Pharmaceutics       Date:  2021-06-30       Impact factor: 6.321

  6 in total

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