Work

Bioinformatics analysis of aberrantly methylated-differentially expressed genes and pathways in hepatocellular carcinoma

Year: 2018

Type: article

Abstract: AIM: To discover methylated-differentially expressed genes (MDEGs) in hepatocellular carcinoma (HCC) and to explore relevant hub genes and potential pathways. METHODS: The data of expression profiling GSE25097 and methylation profiling GSE57956 were gained from GEO Datasets. We analyzed the differentially methylated genes and differentially expressed genes online using GEO2R. Functional and enrichment analyses of MDEGs were conducted using the DAVID database. A protein-protein interaction (PPI) network was performed by STRING and then visualized in Cytoscape. Hub genes were ranked by cytoHubba, and a module analysis of the PPI network was conducted by MCODE in Cytoscape software. RESULTS: were hub genes for Hypo-HGs by combining six ranked methods of cytoHubba. CONCLUSION: , can be used as biomarkers based on aberrant methylation for the accurate diagnosis and treatment of HCC.

Source: World Journal of Gastroenterology

DOI: 10.3748/wjg.v24.i24.2605

Authors: Liang Sang, Xue-Mei Wang, Dong-Yang Xu, Wen-Jing Zhao

Institution: First Hospital of China Medical University

Language: English

Topic: Epigenetics and DNA Methylation

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

SDG: Good health and well-being

Open Access status: hybrid

OpenAlex ID: W2810690816

FWCI: 3.434

Cites: 48

Cited by: 66

Related to: 10