Molecular photoacoustic imaging of breast cancer using an actively targeted conjugated polymer

Molecular photoacoustic imaging of breast cancer using an actively targeted conjugated polymer
Title:
Molecular photoacoustic imaging of breast cancer using an actively targeted conjugated polymer
Other Titles:
International Journal of Nanomedicine
Keywords:
Publication Date:
08 January 2015
Citation:
Volume 2015:10(1) Pages 387—397
Abstract:
Conjugated polymers (CPs) are upcoming optical contrast agents in view of their unique optical properties and versatile synthetic chemistry. Biofunctionalization of these polymer-based nanoparticles enables molecular imaging of biological processes. In this work, we propose the concept of using a biofunctionalized CP for noninvasive photoacoustic (PA) molecular imaging of breast cancer. In particular, after verifying the PA activity of a CP nanoparticle (CP dots) in phantoms and the targeting efficacy of a folate-functionalized version of the same (folate-CP dots) in vitro, we systemically administered the probe into a folate receptor-positive (FR+ve) MCF-7 breast cancer xenograft model to demonstrate the possible application of folate-CP dots for imaging FR+ve breast cancers in comparison to CP dots with no folate moieties. We observed a strong PA signal at the tumor site of folate-CP dots-administered mice as early as 1 hour after administration as a result of the active targeting of the folate-CP dots to the FR+ve tumor cells but a weak PA signal at the tumor site of CP-dots-administered mice as a result of the passive accumulation of the probe by enhanced permeability and retention effect. We also observed that folate-CP dots produced ~4-fold enhancement in the PA signal in the tumor, when compared to CP dots. These observations demonstrate the great potential of this active-targeting CP to be used as a contrast agent for molecular PA diagnostic imaging in various biomedical applications.
License type:
http://creativecommons.org/licenses/by-nc/4.0/
Funding Info:
Description:
ISSN:
1176-9114
1178-2013
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