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. 2018 Jun;17(6):8153-8160.
doi: 10.3892/mmr.2018.8871. Epub 2018 Apr 12.

Key signaling pathways, genes and transcription factors associated with hepatocellular carcinoma

Affiliations

Key signaling pathways, genes and transcription factors associated with hepatocellular carcinoma

Jingcheng Wang et al. Mol Med Rep. 2018 Jun.

Abstract

The purpose of the present study was to investigate the underlying molecular mechanism of hepatocellular carcinoma (HCC) using bioinformatics approaches. The microarray dataset GSE64041 was downloaded from the Gene Expression Omnibus database, which included 60 tumor liver samples and 60 matched control samples. Differentially expressed genes (DEGs) between HCC and control groups were identified. Then functional enrichment analyses, protein‑protein interaction (PPI) network, sub‑network and integrated transcription factor (TF)‑microRNA (miRNA)‑target network analyses were performed for these DEGs. A total of 378 DEGs were obtained, including 101 upregulated and 277 downregulated DEGs. In addition, functional enrichment analysis for DEGs in the sub‑network revealed 'cell division' and 'cell cycle' as key Gene Ontology (GO) terms and pathways. Topoisomerase (DNA) IIα (TOP2A) and integrin subunit α2 (ITGA2) were hub nodes in the PPI network. TOP2A, cyclin dependent kinase 1 (CDK1) and polo like kinase 1 (PLK1) were revealed to be hub nodes in the sub‑network. Finally, 4 TFs including forkhead box M1 (FOXM1), E2F transcription factor 4 (E2F4), SIN3 transcription regulator family member A (SIN3A) and transcription factor 7 like 1 (TCF7L1) were obtained through integrated network analysis. TOP2A, ITGA2, PLK1 and CDK1 may be key genes involved in HCC development. 'Cell division' and 'cell cycle' were indicated to act as key GO terms and Kyoto Encyclopedia of Genes and Genomes pathways in HCC. In addition, FOXM1, TCF7L1, E2F4 and SIN3A were revealed to be key TFs associated with HCC.

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Figures

Figure 1.
Figure 1.
Heat map of DEGs. GSM2052460, GSM2052462 and GSM2052578 are control samples; GSM2052461, GSM2052463 and GSM205579 are disease samples. The bottom axis represents the samples, the top axis represents sample clustering, the right-hand axis represents DEGs and the left-hand axis represents the clustering of DEGs. Red indicates upregulated genes and green indicates downregulated genes. DEG, differentially expressed gene.
Figure 2.
Figure 2.
GO terms of DEGs. (A) GO terms of upregulated DEGs, and (B) GO terms of downregulated DEGs. GO, Gene Ontology; MF, molecular function; CC, cellular component; BP, biological process; DEG, differentially expressed gene.
Figure 3.
Figure 3.
Protein-protein interaction network of DEGs. Red circles represent upregulated DEGs and green circles represent downregulated DEGs. DEG, differentially expressed gene.
Figure 4.
Figure 4.
Sub-network with the greatest number of DEGs. Red circles represent upregulated DEGs. DEG, differentially expressed gene.
Figure 5.
Figure 5.
TF-miRNA-target network of DEGs. Purple circles represent DEGs, white triangles represent miRNAs and green octagons represent TFs. TF, transcription factor; miRNA, microRNA; DEG, differentially expressed gene.

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