Related Experiment Video
Updated: Jun 3, 2025

Author Spotlight: Unveiling the Role of TMOD3 in Platinum Resistance and Immune Infiltration in Ovarian Cancer
Published on: August 2, 2024
Doxorubicin and topotecan resistance in ovarian cancer: Gene expression and microenvironment analysis in 2D and 3D
Monika Świerczewska1, Marta Nowacka2, Piotr Stasiak3
1Department of Histology and Embryology, Poznan University of Medical Sciences, Święcickiego 6 St., Poznan 61-781, Poland; Institute of Health Sciences, Collegium Medicum, University of Zielona Góra, Zyty 28 St., Zielona Góra 65-046, Poland.
Abstract:
This study explores the mechanisms underlying chemotherapy resistance in ovarian cancer (OC) using doxorubicin (DOX) and topotecan (TOP)-resistant cell lines derived from the drug-sensitive A2780 ovarian cancer cell line. Both two-dimensional (2D) monolayer cell cultures and three-dimensional (3D) spheroid models were employed to examine the differential drug responses in these environments. The results revealed that 3D spheroids demonstrated significantly higher resistance to DOX and TOP than 2D cultures, suggesting a closer mimicry of in vivo tumour conditions. Molecular analyses identified overexpression of essential drug resistance-related genes, including MDR1 and BCRP, and extracellular matrix (ECM) components, such as MYOT and SPP1, which were more pronounced in resistant cell lines. MDR1 and BCRP overexpression contribute to chemotherapy resistance in OC by expelling drugs like DOX and TOP. Targeting these transporters with inhibitors or gene silencing could improve drug efficacy, making them key therapeutic targets to enhance treatment outcomes for drug-resistant OC. The study further showed that EMT-associated markers, including VIM, SNAIL1, and SNAIL2, were upregulated in the 3D spheroids, reflecting a more mesenchymal phenotype. These findings suggest that factors beyond gene expression, such as spheroid architecture, cell-cell interactions, and drug penetration, contribute to the enhanced resistance observed in 3D cultures. These results highlight the importance of 3D cell culture models for a more accurate representation of tumour drug resistance mechanisms in ovarian cancer, providing valuable insights for therapeutic development.
Insights
Three-dimensional ovarian cancer models show increased chemotherapy resistance compared to 2D cultures. This resistance is linked to drug efflux pumps (MDR1, BCRP) and epithelial-mesenchymal transition (EMT) markers.
Area of Science:
- Oncology
- Cell Biology
- Pharmacology
Background:
- Ovarian cancer (OC) often develops resistance to chemotherapy drugs like doxorubicin (DOX) and topotecan (TOP).
- Understanding the mechanisms of drug resistance is crucial for improving treatment efficacy in OC.
Purpose of the Study:
- To investigate the mechanisms of chemotherapy resistance in ovarian cancer using 2D and 3D cell culture models.
- To compare drug responses and molecular changes in 2D versus 3D spheroid models of drug-resistant OC.
Main Methods:
- Established doxorubicin (DOX) and topotecan (TOP)-resistant ovarian cancer (OC) cell lines from the A2780 cell line.
- Utilized both two-dimensional (2D) monolayer and three-dimensional (3D) spheroid cell culture models.
- Performed molecular analyses to assess gene and protein expression, including drug resistance markers and EMT markers.
Main Results:
- 3D spheroids exhibited significantly higher resistance to DOX and TOP compared to 2D cultures, mimicking in vivo tumor conditions.
- Resistant cell lines showed overexpression of drug resistance genes (MDR1, BCRP) and extracellular matrix components (MYOT, SPP1).
- Epithelial-mesenchymal transition (EMT)-associated markers (VIM, SNAIL1, SNAIL2) were upregulated in 3D spheroids, indicating a mesenchymal phenotype.
Conclusions:
- 3D spheroid models provide a more accurate representation of ovarian cancer drug resistance than 2D cultures.
- Overexpression of MDR1, BCRP, and EMT markers contributes to enhanced chemotherapy resistance in 3D OC models.
- Targeting drug efflux pumps and EMT pathways presents potential therapeutic strategies for overcoming drug resistance in ovarian cancer.
More Related Videos
07:59Evaluating the Angiogenetic Properties of Ovarian Cancer Stem-Like Cells using the Three-Dimensional Co-Culture System, NICO-1
Published on: December 5, 2020
10:27Testing Targeted Therapies in Cancer using Structural DNA Alteration Analysis and Patient-Derived Xenografts
Published on: July 25, 2020