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

  • Santiago Correa
  • , Natalie Boehnke
  • , Antonio E. Barberio
  • , Elad Deiss-Yehiely
  • , Aria Shi
  • , Benjamin Oberlton
  • , Sean G. Smith
  • , Ioannis Zervantonakis
  • , Erik C. Dreaden
  • , Paula T. Hammond

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)2224-2237
Number of pages14
JournalACS nano
Volume14
Issue number2
DOIs
StatePublished - Feb 25 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2020 American Chemical Society.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • layer-by-layer
  • nanomedicine
  • nanoparticles
  • ovarian cancer
  • subcellular targeting
  • surface chemistry
  • tumor-targeting

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