Diagnostic performance of microRNA-34a, let-7f and microRNA-31 in epithelial ovarian cancer prediction.

ABSTRACT:

Objective

To correlate the genome-wide methylation signature of microRNA genes with dysregulated expression of selected candidate microRNA in tissue and serum samples of epithelial ovarian cancer (EOC) and control using quantitative reverse transcription polymerase chain reaction (qRT-PCR), and evaluation of EOC predictive value of candidate microRNA at an early stage.

Methods

We performed Methylated DNA Immunoprecipitation coupled with NGS (MeDIP-NGS) sequencing of 6 EOC and 2 normal tissue samples of the ovary. Expression of selected microRNA from tissue (EOC=85, normal=30) and serum (EOC=50, normal=15) samples was evaluated using qRT-PCR. We conducted bioinformatics analysis to identify the candidate miRNA's potential target and functional role.

Results

MeDIP-NGS s

SUBMITTER: Kumar V 

PROVIDER: S-EPMC9250857 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature