Multicompartmentalized Microvascularized Tumor-on-a-Chip to Study Tumor-Stroma Interactions and Drug Resistance in

Simona Plesselova1, Kristin Calar1, Hailey Axemaker1

  • 1Present Address: Cancer Biology and Immunotherapies Group, Sanford Research, Sioux Falls, SD USA.

Abstract

Insights

A novel 3D tumor-on-a-chip model recreates the ovarian cancer tumor microenvironment (TME), revealing how cancer-associated fibroblasts promote chemoresistance. This technology can guide new ovarian cancer therapies.

Area of Science:

  • Oncology
  • Biomedical Engineering
  • Drug Discovery

Background:

  • Ovarian cancer (OC) frequently develops chemoresistance, limiting treatment efficacy.
  • The tumor microenvironment (TME) significantly influences OC progression and therapeutic response.
  • Existing models lack the complexity to fully represent TME compartmentalization and its role in drug resistance.

Purpose of the Study:

  • To develop a 3D microvascularized multiniche tumor-on-a-chip model.
  • To recapitulate ovarian cancer TME compartmentalization and study its impact on drug resistance.
  • To investigate the role of cancer-associated fibroblasts (CAFs) in chemoresistance.

Main Methods:

  • Constructed a five-chamber tumor-on-a-chip with a central cancer chamber and surrounding stromal and circulation chambers.
  • Incorporated endothelial cells, normal fibroblasts, or CAFs into the stromal chambers.
  • Analyzed TME features like vascularization, ECM remodeling, oxygen gradients, and drug penetration.
  • Assessed carboplatin/paclitaxel resistance in the presence of different stromal components.

Main Results:

  • The model successfully mimicked TME compartmentalization, including vessel-like structures and oxygen gradients.
  • Cancer-associated fibroblasts (CAFs) significantly increased chemoresistance to carboplatin/paclitaxel.
  • CAF-mediated drug resistance was linked to extracellular matrix (ECM) remodeling and could be reversed by ECM-targeted therapy.
  • Demonstrated the critical role of cellular crosstalk and spatial organization in TME-mediated drug resistance.

Conclusions:

  • The developed tumor-on-a-chip platform effectively models TME compartmentalization and its influence on ovarian cancer drug resistance.
  • This technology provides a valuable tool for understanding chemoresistance mechanisms.
  • It holds potential for designing targeted therapies to overcome chemoresistance in ovarian cancer.