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01.12.2017 | Research | Ausgabe 1/2017 Open Access

World Journal of Surgical Oncology 1/2017

Identification and interaction analysis of key genes and microRNAs in hepatocellular carcinoma by bioinformatics analysis

Zeitschrift:
World Journal of Surgical Oncology > Ausgabe 1/2017
Autoren:
Tong Mou, Di Zhu, Xufu Wei, Tingting Li, Daofeng Zheng, Junliang Pu, Zhen Guo, Zhongjun Wu
Wichtige Hinweise

Electronic supplementary material

The online version of this article (doi:10.​1186/​s12957-017-1127-2) contains supplementary material, which is available to authorized users.

Abstract

Background

Hepatocellular carcinoma (HCC) is the most common liver malignancy worldwide. However, present studies of its multiple gene interaction and cellular pathways still could not explain the initiation and development of HCC perfectly. To find the key genes and miRNAs as well as their potential molecular mechanisms in HCC, microarray data GSE22058, GSE25097, and GSE57958 were analyzed.

Methods

The microarray datasets GSE22058, GSE25097, and GSE57958, including mRNA and miRNA profiles, were downloaded from the GEO database and were analyzed using GEO2R. Functional and pathway enrichment analyses were performed using the DAVID database, and the protein–protein interaction (PPI) network was constructed using the Cytoscape software. Finally, miRDB was applied to predict the targets of the differentially expressed miRNAs (DEMs).

Results

A total of 115 differentially expressed genes (DEGs) were found in HCC, including 52 up-regulated genes and 63 down-regulated genes. The gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses from DAVID showed that up-regulated genes were significantly enriched in chromosome segregation and cell division, while the down-regulated genes were mainly involved in complement activation, protein activation cascades, carboxylic acid metabolic processes, oxoacid metabolic processes, and the immune response. From the PPI network, the 18 nodes with the highest degree were screened as hub genes. Among them, ESR1 was found to have close interactions with FOXO1, CXCL12, and GNAO1. In addition, a total of 64 DEMs were identified, which included 58 up-regulated miRNAs and 6 down-regulated miRNAs. ESR1 was potentially targeted by five miRNAs, including hsa-mir-18a and hsa-mir-221.

Conclusions

The roles of DEMs like hsa-mir-221 in HCC through interactions with DEGs such as ESR1 and CXCL12 may provide new clues for the diagnosis and treatment of HCC patients.
Zusatzmaterial
Additional file 1: Complete list of differentially expressed genes (DEGs) in GSE22058. (DOCX 183 kb)
12957_2017_1127_MOESM1_ESM.docx
Additional file 2: Complete list of differentially expressed genes (DEGs) in GSE25097. (DOCX 103 kb)
12957_2017_1127_MOESM2_ESM.docx
Additional file 3: Complete list of differentially expressed genes (DEGs) in GSE57958. (DOCX 50 kb)
12957_2017_1127_MOESM3_ESM.docx
Additional file 4: Complete list of differentially expressed miRNAs (DEMs) in GSE22058. (DOCX 19 kb)
12957_2017_1127_MOESM4_ESM.docx
Literatur
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