Norepinephrine-Induced DNA Damage in Ovarian Cancer Cells.
Rocio Lamboy-CaraballoCarmen Ortiz-SanchezArelis Acevedo-SantiagoJaime L MattaAlvaro N A MonteiroGuillermo N Armaiz-PenaPublished in: International journal of molecular sciences (2020)
Multiple studies have shown that psychological distress in epithelial ovarian cancer (EOC) patients is associated with worse quality of life and poor treatment adherence. This may influence chemotherapy response and prognosis. Moreover, although stress hormones can reduce cisplatin efficacy in EOC treatment, their effect on the integrity of DNA remains poorly understood. In this study, we investigated whether norepinephrine and epinephrine can induce DNA damage and modulate cisplatin-induced DNA damage in three EOC cell lines. Our data show that norepinephrine and epinephrine exposure led to increased nuclear γ-H2AX foci formation in EOC cells, a marker of double-strand DNA breaks. We further characterized norepinephrine-induced DNA damage by subjecting EOC cells to alkaline and neutral comet assays. Norepinephrine exposure caused DNA double-strand breaks, but not single-strand breaks. Interestingly, pre-treatment with propranolol abrogated norepinephrine-induced DNA damage indicating that its effects may be mediated by β-adrenergic receptors. Lastly, we determined the effects of norepinephrine on cisplatin-induced DNA damage. Our data suggest that norepinephrine reduced cisplatin-induced DNA damage in EOC cells and that this effect may be mediated independently of β-adrenergic receptors. Taken together, these results suggest that stress hormones can affect DNA integrity and modulate cisplatin resistance in EOC cells.
Keyphrases
- dna damage
- induced apoptosis
- oxidative stress
- dna repair
- cell cycle arrest
- diabetic rats
- circulating tumor
- cell free
- single molecule
- end stage renal disease
- chronic kidney disease
- cell death
- signaling pathway
- ejection fraction
- newly diagnosed
- electronic health record
- prognostic factors
- endoplasmic reticulum stress
- skeletal muscle
- big data
- mass spectrometry
- metabolic syndrome
- physical activity
- data analysis
- circulating tumor cells