Tuning Nanoparticle Interactions with Ovarian Cancer through Layer-by-Layer Modification of Surface Chemistry

Santiago Correa(Massachusetts Institute of Technology), Natalie Boehnke(Massachusetts Institute of Technology), Antonio E. Barberio(Massachusetts Institute of Technology), Elad Deiss‐Yehiely(Massachusetts Institute of Technology), Aria C. Shi(Massachusetts Institute of Technology), Benjamin Oberlton(Massachusetts Institute of Technology), Sean G. Smith(Massachusetts Institute of Technology), Ioannis K. Zervantonakis(Harvard University), Erik C. Dreaden(Massachusetts Institute of Technology), Paula T. Hammond(Institute for Soldier Nanotechnologies)
ACS Nano
January 23, 2020
Cited by 109Open Access
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Abstract

Nanoparticle surface chemistry is a fundamental engineering parameter that governs tumor-targeting activity. Electrostatic assembly generates controlled polyelectrolyte complexes through the process of adsorption and charge overcompensation utilizing synthetic polyions and natural biomacromolecules; it can yield films with distinctive hydration, charge, and presentation of functional groups. Here, we used electrostatic layer-by-layer (LbL) assembly to screen 10 different surface chemistries for their ability to preferentially target human ovarian cancer in vitro. Our screen identified that poly-l-aspartate, poly-l-glutamate, and hyaluronate-coated LbL nanoparticles have striking specificity for ovarian cancer, while sulfated poly(β-cyclodextrin) nanoparticles target noncancerous stromal cells. We validated top candidates for tumor-homing ability with a murine model of metastatic disease and with patient-derived ovarian cancer spheroids. Nanoparticle surface chemistry also influenced subcellular trafficking, indicating strategies to target the cell membrane, caveolae, and perinuclear vesicles. Our results confirm LbL is a powerful tool to systematically engineer nanoparticles and achieve specific targeting.


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