A multilayered cancer-on-a-chip model to analyze the effectiveness of new-generation photosensitizers

Magdalena Flont1, Elżbieta Jastrzębska, Zbigniew Brzózka

  • 1Chair of Medical Biotechnology, Faculty of Chemistry, Warsaw University of Technology, Noakowskiego 3, 00-664 Warsaw, Poland. brzozka@ch.pw.edu.pl.

The Analyst
|August 28, 2020
PubMed

Insights

This study introduces a novel 3D ovarian cancer model using microfluidics. The model effectively simulates tumor tissue, enhancing the evaluation of new anticancer drugs and photodynamic therapy efficacy.

Area of Science:

  • Oncology
  • Biotechnology
  • Materials Science

Background:

  • Ovarian cancer presents significant diagnostic and treatment challenges.
  • Effective in vitro models are crucial for developing new anticancer therapies.
  • Current models often fail to replicate the complex tumor microenvironment.

Purpose of the Study:

  • To develop a novel 3D cellular model of ovarian cancer.
  • To mimic the heterogeneous structure of ovarian cancer tissue, including stromal components.
  • To evaluate the model's utility in drug screening and personalized medicine.

Main Methods:

  • Utilized Lab-on-a-chip technology to create a microfluidic system for culturing cellular multilayers.
  • Co-cultured human ovarian fibroblasts (HOF) with ovarian cancer cells (A2780).
  • Assessed the efficacy of novel photosensitizers (PS) in photodynamic therapy (PDT) and measured reactive oxygen species (ROS) levels.

Main Results:

  • The 3D model successfully mimicked ovarian cancer tissue, comprising cancer cells and stromal fibroblasts.
  • Co-culture with fibroblasts stimulated ovarian cancer cell proliferation, relevant to tumor progression.
  • Tested photosensitizers demonstrated increased efficacy in PDT for ovarian cancer treatment.
  • The model proved suitable for rapid drug screening and assessing PDT mechanisms.

Conclusions:

  • The developed 3D microfluidic model accurately represents ovarian cancer tissue heterogeneity.
  • This model enhances the in vitro assessment of anticancer drugs, including photodynamic therapy.
  • The 3D model shows potential for clinical applications in personalized medicine for ovarian cancer treatment.

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