MiRNA profiling from C13K and OV2008 ovarian cancer cell lines
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ABSTRACT:
PROVIDER: PRJNA492314 | ENA |
REPOSITORIES: ENA
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Project description:We investigated whether levels of serum microRNAs (miRNAs) could discriminate women with high-grade serous ovarian epithelial cancer (SEOC) from age matched healthy volunteers. miRNA expression profiling was performed on 4 SEOC cell lines and normal human ovarian surface epithelial cells (HOSE). miR-182, miR-200a, b and c were highly overexpressed in the SEOC cell lines. miR-103, miR-92a and miR-638 displayed relatively invariant expression and with RNU48, were assessed, as putative serum miRNA normalizers. The 7 miRNA and RNU48 were assessed in serum from SEOC patients (n = 30) and age-matched healthy volunteers (n = 32) by qRT-PCR following pre-amplification. No correlation between age and miRNA or RNU48 levels was observed (age range 30-79 years). miR-103 demonstrated the least variance and was chosen to normalize serum volume adjusted results. miR-200a, b and c were significantly elevated in SEOC serum (P = 0.002; 0.003; 0.0003 respectively) and a multivariate model was the best predictive classifier of SEOC (ROC-AUC = 0.806). A correlation between high miR-200b levels and residual macroscopic disease following cytoreductive surgery was identified (P = 0.006). Our results suggest that serum miR-200a, b and c may have utility as diagnostic biomarkers for SEOC.
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