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In Silico Identification and Characterization of circRNAs During Host-Pathogen Interactions
Published on: October 21, 2022
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Integrated analysis of ceRNA network in hepatocellular carcinoma using bioinformatics analysis
Yu Luo1, Hongjuan Li1, Hongli Huang1
1Department of Oncology.
Medicine
|June 4, 2021
Summary
This study reveals a competitive endogenous RNA (ceRNA) network in hepatocellular carcinoma (HCC), identifying key genes like CCNA2, CHEK1, FOXM1, and MCM2 that impact patient prognosis and offer potential therapeutic targets.
Area of Science:
- Molecular Biology
- Genomics
- Cancer Research
Background:
- Long noncoding RNAs (lncRNAs) function as microRNA (miRNA) sponges via the competitive endogenous RNA (ceRNA) mechanism.
- Imbalances in lncRNA and miRNA expression are linked to hepatocellular carcinoma (HCC) development, diagnosis, and prognosis.
Purpose of the Study:
- To investigate the role of the ceRNA regulatory network in HCC prognosis.
- To identify potential diagnostic and therapeutic targets for HCC.
Main Methods:
- Differential expression analysis of lncRNAs, miRNAs, and mRNAs from HCC datasets (GSE98269, GSE60502).
- Construction of a dysregulated ceRNA network using bioinformatics.
- Identification and functional analysis of hub genes using Cytoscape and gene set enrichment analysis.
- Validation of hub gene expression and prognostic correlation using Gene Expression Profiling Interactive Analysis.
Main Results:
- A ceRNA network comprising 4 differentially expressed (DE) lncRNAs, 7 DEmiRNAs, and 166 DEmRNAs was constructed.
- Four core genes (CCNA2, CHEK1, FOXM1, MCM2) significantly associated with HCC prognosis were identified.
Conclusions:
- The study offers insights into HCC tumorigenesis and ceRNA molecular mechanisms.
- Identified ceRNAs represent potential therapeutic targets and prognostic biomarkers for HCC.
