Polymeric nanoparticles targeting Sialyl-Tn in gastric cancer: A live tracking under flow conditions

Francisca Diniz1,2,3, Maria Azevedo1, Flávia Sousa1,4,5

  • 1i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, 4200-135 Porto, Portugal.

Materials Today. Bio
|September 15, 2022
PubMed

Insights

Novel nanoparticles targeting cancer's Sialyl-Tn (STn) glycan show specific binding to gastric cancer cells. This study highlights the importance of flow conditions for evaluating targeted nanoparticle drug delivery systems.

Area of Science:

  • Biomedical Engineering
  • Nanotechnology
  • Cancer Research

Background:

  • Nanoparticles (NPs) offer targeted drug delivery for cancers like gastric cancer (GC).
  • Aberrant glycan expression on cancer cells presents opportunities for targeted therapies.
  • Sialyl-Tn (STn) glycan is a promising target in epithelial tumors, including GC.

Purpose of the Study:

  • To develop and evaluate NPs functionalized with an anti-STn antibody for targeted cancer therapy.
  • To assess the specificity and recognition capacity of these targeted NPs.
  • To investigate the impact of physiological flow conditions on NP-target interactions.

Main Methods:

  • Surface functionalization of NPs with an antibody targeting the STn glycan.
  • In vitro evaluation of NP recognition by STn-expressing cells under static conditions.
  • Live cell monitoring of NP-target interactions under simulated physiological flow (shear stress).

Main Results:

  • NPs functionalized with anti-STn antibody demonstrated efficient recognition of STn-expressing cells.
  • Flow conditions revealed distinct binding behaviors compared to static assays.
  • No non-specific binding of NP agglomerates was observed under flow, unlike in static tests.

Conclusions:

  • Surface-functionalized NPs show potential for targeted drug delivery in STn-expressing cancers.
  • Biomechanical parameters like shear stress are critical for evaluating NP-based delivery systems.
  • The developed methodology enables robust in vitro assessment of targeted NPs under physiological flow, informing in vivo studies.