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March 1, 2026Sensors0 citationsOpen Access

An Advanced 3D Model of Vascularized Epithelial Ovarian Cancer in a Tumor-on-a-Chip System Based on Multi-Cell Culture

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MFMagdalena FlontWarsaw University of TechnologyAŻAgnieszka ŻuchowskaWarsaw University of TechnologyOTOliwia TadkoWarsaw University of Technology

Key Points

  • The aim is to develop a 3D model of epithelial ovarian cancer that replicates tumor microenvironment elements to study its biology and treatment.
  • Developed a microfluidic tumor-on-a-chip system for epithelial ovarian cancer modeling.
  • Incorporated endothelial cells within a collagen matrix to simulate vascularization.
  • Evaluated the model for cellular functionality and long-term culture responses.
  • Endothelial cells successfully migrated towards cancerous tissue in the model.
  • The tumor construct secreted pro-angiogenic factors promoting vascularization.
  • Long-term culture conditions mirrored inflammatory responses associated with tumor progression.

Abstract

Epithelial ovarian cancer (EOC) is a highly lethal malignancy characterized by significant heterogeneity and poor prognosis due to late-stage diagnosis and chemotherapy resistance. Traditional two-dimensional (2D) models fail to replicate the complexity of the tumor microenvironment (TME), necessitating the development of advanced in vitro systems. Here, we present a novel microfluidic tumor-on-a-chip (ToC) system that accurately models key features of EOC, including heterogeneity and vascularization. The developed cellular model was evaluated for functionality. It was demonstrated that endothelial cells of blood vessels within a collagen matrix successfully migrated toward the cancerous tissue, while the multicellular and multilayered tumor construct secreted pro-angiogenic factors. Additionally, long-term culture conditions induced inflammatory responses, mimicking in vivo tumor progression. This innovative platform enables precise investigations into EOC biology, angiogenesis, and TME interactions. Furthermore, it holds significant potential for drug screening, assessing therapeutic efficacy, and advancing personalized oncology approaches.

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Cite This Study

Flont et al. (2026) studied this question.

synapsesocial.com/papers/69a3d8d8ec16d51705d30142https://doi.org/10.3390/s26051503
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