Work

Integrated intravital microscopy and mathematical modeling to optimize nanotherapeutics delivery to tumors

Year: 2012

Type: article

Abstract: Inefficient vascularization hinders the optimal transport of cell nutrients, oxygen, and drugs to cancer cells in solid tumors. Gradients of these substances maintain a heterogeneous cell-scale microenvironment through which drugs and their carriers must travel, significantly limiting optimal drug exposure. In this study, we integrate intravital microscopy with a mathematical model of cancer to evaluate the behavior of nanoparticle-based drug delivery systems designed to circumvent biophysical barriers. We simulate the effect of doxorubicin delivered via porous 1000 x 400 nm plateloid silicon particles to a solid tumor characterized by a realistic vasculature, and vary the parameters to determine how much drug per particle and how many particles need to be released within the vasculature in order to achieve remission of the tumor. We envision that this work will contribute to the development of quantitative measures of nanoparticle design and drug loading in order to optimize cancer treatment via nanotherapeutics.

Source: AIP Advances

DOI: 10.1063/1.3699060

Authors: Anne L. van de Ven, Min Wu, John Lowengrub, Steven R. McDougall, Mark A. J. Chaplain, Vittorio Cristini, Mauro Ferrari, Hermann B. Frieboes

Institutions: Houston Methodist, Houston Methodist Research Institute, University of California, Irvine, Heriot-Watt University, University of Dundee, University of New Mexico, University of Louisville

Language: English

Topic: Nanoparticle-Based Drug Delivery

Subfield: Biomaterials

Field: Materials Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: gold

Estimated APC paid: $1,350

Funders: National Science Foundation, National Institutes of Health, University of California, Irvine, Biotechnology and Biological Sciences Research Council, National Cancer Institute, National Institute of General Medical Sciences, Division of Mathematical Sciences

Awards: G1885747215, Collaborative Research: Multiscale Modeling of Solid Tumor Growth, Texas Center for Cancer Nanomedicine, G2460814184, G2704802626, Systems Biology of Morphogeneisis and Spatial Information Flow, Multi-scale Complex Systems Transdisciplinary Analysis of Response to Therapy (MC, Center for Systematic Modeling of Cancer Development, G684665474, Guidance cues and pattern prediction in the developing retinal vasculature: A combined experimental and theoretical modelling approach, G7541321769, G8384729141, Center for Transport Oncophysics, G9000011381

OpenAlex ID: W2009148111

FWCI: 4.453

Cites: 53

Cited by: 97

Related to: 10