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Updated: May 2, 2026

Preparation and Characterization of Lipophilic Doxorubicin Pro-drug Micelles
Published on: August 2, 2016
Application of pharmacokinetic and pharmacodynamic analysis to the development of liposomal formulations for oncology
Sihem Ait-Oudhia1, Donald E Mager2, Robert M Straubinger3
1Department of Pharmaceutical Sciences, University at Buffalo, State University of New York, Amherst, NY 14214, USA. Sihema@buffalo.edu.
Abstract:
Liposomal formulations of anticancer agents have been developed to prolong drug circulating lifetime, enhance anti-tumor efficacy by increasing tumor drug deposition, and reduce drug toxicity by avoiding critical normal tissues. Despite the clinical approval of numerous liposome-based chemotherapeutics, challenges remain in the development and clinical deployment of micro- and nano-particulate formulations, as well as combining these novel agents with conventional drugs and standard-of-care therapies. Factors requiring optimization include control of drug biodistribution, release rates of the encapsulated drug, and uptake by target cells. Quantitative mathematical modeling of formulation performance can provide an important tool for understanding drug transport, uptake, and disposition processes, as well as their role in therapeutic outcomes. This review identifies several relevant pharmacokinetic/pharmacodynamic models that incorporate key physical, biochemical, and physiological processes involved in delivery of oncology drugs by liposomal formulations. They capture observed data, lend insight into factors determining overall antitumor response, and in some cases, predict conditions for optimizing chemotherapy combinations that include nanoparticulate drug carriers.
Insights
Liposomal formulations improve anticancer drug delivery by enhancing tumor deposition and reducing toxicity. Mathematical models help optimize these advanced drug delivery systems for better therapeutic outcomes.
Area of Science:
- Oncology
- Pharmaceutics
- Biomedical Engineering
Background:
- Liposomal formulations enhance anticancer agent delivery, prolonging circulation and improving tumor deposition.
- Challenges persist in optimizing nanoparticle formulations and combining them with conventional therapies.
Purpose of the Study:
- To review pharmacokinetic/pharmacodynamic models for liposomal anticancer drug delivery.
- To understand factors influencing drug biodistribution, release, and cellular uptake.
Main Methods:
- Identification and analysis of relevant quantitative mathematical models.
- Review of models incorporating physical, biochemical, and physiological processes.
Main Results:
- Models capture observed data on liposomal drug delivery and disposition.
- Models provide insights into factors governing antitumor response.
Conclusions:
- Mathematical modeling is crucial for understanding and optimizing liposomal drug delivery systems.
- Models can predict optimal conditions for chemotherapy combinations involving nanoparticulate carriers.
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