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Dataset Information

Selection of endogenous control and identification of significant microRNA deregulations in cervical cancer.


ABSTRACT:

Introduction

Cervical cancer causes approximately 350,000 deaths each year. The availability of sensitive and specific diagnostic tests to detect cervical cancer in its early stages is essential to improve survival rates.

Methods

In this study, we compared two strategies for selecting endogenous controls: miRNA profiling by small-RNA sequencing and a commercially available microfluidic card with 30 recommended endogenous controls preloaded by the manufacturer. We used the RefFinder algorithm and coefficient of variation to select endogenous controls. We selected the combination of miR-181a-5p and miR-423-3p as the most optimal normalizer. In the second part of this study, we determined the differential expression (between tumor/non-tumor groups) of microRNA in cervical cance

SUBMITTER: Stverakova T 

PROVIDER: S-EPMC10164982 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature