Bioinformatic analysis reveals MIR502 as a potential tumour suppressor in ovarian cancer.

ABSTRACT:

Background

Ovarian cancer (OC) is a major cause of death among women due to the lack of early screening methods and its complex pathological progression. Increasing evidence has indicated that microRNAs regulate gene expression in tumours by interacting with mRNAs. Although the research regarding OC and microRNAs is extensive, the vital role of MIR502 in OC remains unclear.

Methods

We integrated two microRNA expression arrays from GEO to identify differentially expressed genes. The Kaplan-Meier method was used to screen for miRNAs that had an influence on survival outcome. Upstream regulators of MIR502 were predicted by JASPAR and verified by ChIP-seq data. The LinkedOmics database was used to study genes that were correlated with MIR502. Gene Set Enrichment Analysis (GSEA)

SUBMITTER: Li Y 

PROVIDER: S-EPMC7359466 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature