AhRR and PPP1R3C: Potential Prognostic Biomarkers for Serous Ovarian Cancer.
Alessandra ArdizzoiaAndrea JemmaSerena RedaelliMarco SilvaAngela BentivegnaMaria Luisa LavitranoDonatella ConconiPublished in: International journal of molecular sciences (2023)
The lack of effective screening and successful treatment contributes to high ovarian cancer mortality, making it the second most common cause of gynecologic cancer death. Development of chemoresistance in up to 75% of patients is the cause of a poor treatment response and reduced survival. Therefore, identifying potential and effective biomarkers for its diagnosis and prognosis is a strong critical need. Copy number alterations are frequent in cancer, and relevant for molecular tumor stratification and patients' prognoses. In this study, array-CGH analysis was performed in three cell lines and derived cancer stem cells (CSCs) to identify genes potentially predictive for ovarian cancer patients' prognoses. Bioinformatic analyses of genes involved in copy number gains revealed that AhRR and PPP1R3C expression negatively correlated with ovarian cancer patients' overall and progression-free survival. These results, together with a significant association between AhRR and PPP1R3C expression and ovarian cancer stemness markers, suggested their potential role in CSCs. Furthermore, AhRR and PPP1R3C's increased expression was maintained in some CSC subpopulations, reinforcing their potential role in ovarian cancer. In conclusion, we reported for the first time, to the best of our knowledge, a prognostic role of AhRR and PPP1R3C expression in serous ovarian cancer.
Keyphrases
- copy number
- poor prognosis
- cancer stem cells
- mitochondrial dna
- end stage renal disease
- free survival
- genome wide
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- high grade
- dna methylation
- binding protein
- healthcare
- long non coding rna
- high throughput
- type diabetes
- papillary thyroid
- peritoneal dialysis
- cardiovascular disease
- squamous cell carcinoma
- mass spectrometry
- gene expression
- risk factors
- cardiovascular events
- single cell
- climate change
- coronary artery disease
- single molecule
- patient reported
- patient reported outcomes
- childhood cancer