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Updated: Dec 10, 2025

In Vitro and In Vivo Evaluation of Photocontrolled Biologically Active Compounds - Potential Drug Candidates for Cancer Photopharmacology
Published on: September 29, 2023
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.
Abstract:
Three-dimensional (3D) cellular models of cancer tissue are necessary tools to analyze new anticancer drugs under in vitro conditions. Diagnostics and treatment of ovarian cancer are major challenges for current medicine. In our report we propose a new three-dimensional (3D) cellular model of ovarian cancer which can mimic a fragment of heterogeneous cancer tissue. We used Lab-on-a-chip technology to create a microfluidic system that allows cellular multilayer to be cultured. Cellular multilayer mimics the structure of two important elements of cancer tissue: flesh and stroma. For this reason, it has an advantage over other in vitro cellular models. We used human ovarian fibroblasts (HOF) and human ovarian cancer cells in our research (A2780). In the first stage of the study, we proved that the presence of non-malignant fibroblasts in co-culture with ovarian cancer cells stimulates the proliferation of cancer cells, which is important in the progression of ovarian cancer. In the next stage of the research, we tested the usefulness of the newly-developed cellular model in the analysis of anticancer drugs and therapies under in vitro conditions. We tested two photosensitizers (PS): free and nanoencapsulated meso-tetrafenylporphyrin, and we evaluated the potential of these drugs in anticancer photodynamic therapy (PDT) of ovarian cancer. We also studied the mechanism of PDT based on the analysis of the level of reactive oxygen species (ROS) in cell cultures. Our research confirmed that the use of new-generation PS can significantly increase the efficacy of PDT in the treatment of ovarian cancer. We also proved that the newly-developed 3D cellular model is suitable for rapid screening of anticancer drugs and has the potential to be used clinically in the future, e.g. in the selection of treatment methods for anticancer personalized medicine.
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.

