Abstract
Active molecular targeting has become an important aspect of nanoparticle development for oncology indications. Here, we describe molecular targeting of iron oxide nanoparticles (IONPs) to the folate receptor alpha (FOLRα) using an engineered antibody fragment (Ffab). Compared to control nanoparticles targeting the non-relevant botulinum toxin, the Ffab-IONP constructs selectively accumulated on FOLRα-overexpressing cancer cells in vitro, where they exhibited the capacity to internalize into intracellular vesicles. Similarly, Ffab-IONPs homed to FOLRα-positive tumors upon intraperitoneal administration in an orthotopic murine xenograft model of ovarian cancer, whereas negative control particles showed no detectable tumor accumulation. Interestingly, Ffab-IONPs built with custom 120 nm nanoparticles exhibited lower in vitro targeting efficiency when compared to those built with commercially sourced 180 nm nanoparticles. In vivo, however, the two Ffab-IONP platforms achieved equivalent tumor homing, although the smaller 120 nm IONPs were more prone to liver sequestration. Overall, the results show that Ffab-mediated targeting of IONPs yields specific, high-level accumulation within cancer cells, and this fact suggests that Ffab-IONPs could have future utility in ovarian cancer diagnostics and therapy.
Acknowledgments
The authors would like to thank Louisa Howard and Charles P Daghlian of the Dartmouth Electron Microscope Facility for their assistance with TEM data, and the Dartmouth Center for Cancer Nanotechnology Excellence Toxicology, Biodistribution and Pathology Core, and the Dartmouth Trace Element Core for ICP-MS data. We would also like to thank the Dartmouth Transgenic and Genetic Construct Shared Resources, and Jennifer Fields for maintaining the NSG mice. We also thank the Dartmouth CCOP Pathology Translational Research (especially Rebecca O’Meara and Eric York), for the assistance with tissue histology. Finally, we would like to thank Adimab LLC, in particular Yingda Xu and Felicia Reid, for their assistance with LC-MS data. This work was supported by NCI grant number 1 U54 CA151662-01.
Disclosure
The authors report no conflicts of interest in this work.