Computational Modeling of Tumor Response to Drug Release from Vasculature-Bound Nanoparticles.

ABSTRACT: Systemically injected nanoparticle (NPs) targeting tumor vasculature offer a venue for anti-angiogenic therapies as well as cancer detection and imaging. Clinical application has been limited, however, due to the challenge of elucidating the complex interplay of nanotechnology, drug, and tumor parameters. A critical factor representing the likelihood of endothelial adhesion is the NP vascular affinity, a function of vascular receptor expression and NP size and surface-bound ligand density. We propose a theoretical framework to simulate the tumor response to vasculature-bound drug-loaded NPs and examine the interplay between NP distribution and accumulation as a function of NP vascular affinity, size, and drug loading and release characteristics. The results show that uniform spatial distri

SUBMITTER: Curtis LT 

PROVIDER: S-EPMC4682796 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature