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Assessment of Ovarian Cancer Spheroid Attachment and Invasion of Mesothelial Cells in Real Time
Published on: May 20, 2014
Cisplatin Resistant Spheroids Model Clinically Relevant Survival Mechanisms in Ovarian Tumors
Winyoo Chowanadisai1,2, Shanta M Messerli2, Daniel H Miller3,4
1Department of Nutritional Sciences, Oklahoma State University, Stillwater, Oklahoma, United States of America, 74078.
Abstract:
The majority of ovarian tumors eventually recur in a drug resistant form. Using cisplatin sensitive and resistant cell lines assembled into 3D spheroids we profiled gene expression and identified candidate mechanisms and biological pathways associated with cisplatin resistance. OVCAR-8 human ovarian carcinoma cells were exposed to sub-lethal concentrations of cisplatin to create a matched cisplatin-resistant cell line, OVCAR-8R. Genome-wide gene expression profiling of sensitive and resistant ovarian cancer spheroids identified 3,331 significantly differentially expressed probesets coding for 3,139 distinct protein-coding genes (Fc >2, FDR < 0.05) (S2 Table). Despite significant expression changes in some transporters including MDR1, cisplatin resistance was not associated with differences in intracellular cisplatin concentration. Cisplatin resistant cells were significantly enriched for a mesenchymal gene expression signature. OVCAR-8R resistance derived gene sets were significantly more biased to patients with shorter survival. From the most differentially expressed genes, we derived a 17-gene expression signature that identifies ovarian cancer patients with shorter overall survival in three independent datasets. We propose that the use of cisplatin resistant cell lines in 3D spheroid models is a viable approach to gain insight into resistance mechanisms relevant to ovarian tumors in patients. Our data support the emerging concept that ovarian cancers can acquire drug resistance through an epithelial-to-mesenchymal transition.
Insights
Drug-resistant ovarian cancer spheroids reveal new insights into treatment failure. A 17-gene signature predicts shorter survival in ovarian cancer patients, highlighting the epithelial-to-mesenchymal transition in resistance.
Area of Science:
- Oncology
- Genomics
- Drug Resistance
Background:
- Ovarian tumors frequently recur as drug-resistant forms, posing a significant clinical challenge.
- Understanding the molecular mechanisms underlying cisplatin resistance is crucial for improving patient outcomes.
Purpose of the Study:
- To investigate gene expression profiles in cisplatin-sensitive and resistant ovarian cancer spheroids.
- To identify molecular pathways and develop predictive biomarkers associated with cisplatin resistance in ovarian cancer.
Main Methods:
- Generation of a cisplatin-resistant ovarian cancer cell line (OVCAR-8R) from sensitive cells (OVCAR-8).
- Utilized 3D spheroid models to mimic in vivo tumor microenvironments.
- Performed genome-wide gene expression profiling to compare sensitive and resistant cell lines.
Main Results:
- Identified 3,139 differentially expressed genes between sensitive and resistant ovarian cancer spheroids.
- Cisplatin resistance was not linked to altered intracellular drug concentration but showed enrichment for a mesenchymal gene signature.
- A 17-gene signature derived from resistant cells accurately predicted shorter overall survival in independent patient datasets.
Conclusions:
- 3D spheroid models of cisplatin-resistant ovarian cancer are effective for studying resistance mechanisms.
- The epithelial-to-mesenchymal transition is implicated in the acquisition of cisplatin resistance in ovarian cancer.
- The identified 17-gene signature serves as a potential prognostic biomarker for ovarian cancer patients.

