Candidate lncRNA-miRNA-mRNA network in predicting hepatocarcinogenesis with cirrhosis: an integrated bioinformatics analysis.

ABSTRACT:

Purpose

This study aimed to explore the potential competing endogenous RNA (ceRNA) network in forecasting HCC development in patients with cirrhosis through a comprehensive bioinformatic analysis.

Methods

Data mining from GEO and TCGA databases was employed to dig a spectrum of differentially expressed mRNA, lncRNA and miRNA profiles. Their expression was confirmed by RT-PCR in matched HCC cohorts (n = 6/group). The ceRNA network was constructed by co-expression analysis. Their reciprocal regulations and their roles in epithelial-to-mesenchymal transition (EMT) process were validated by gain- and loss-of-function experiments at the cellular level. Kaplan-Meier method was applied to reveal prognostic values.

Results

By intersecting differentially expressed genes (DEGs)

SUBMITTER: Zhang R 

PROVIDER: S-EPMC11804427 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature