Identifiction of Potential Regulatory Network in Colorectal with Liver Metastasis

Abstract

Background Liver metastasis is an important cause of death in patients with colorectal cancer(CRC). Increasing evidences indicates that microRNAs (miRNAs) are involved in the pathogenesis of colorectal with liver metastasis(CRLM). This study aims to explore potential miRNA–mRNA regulatory network. Methods The GEO database download the microarray datasets GSE56350 and GSE73178. GEO2R was used to conduct differentially expressed miRNAs (DEMs) between CRC and CRLM. The common miRNAs appeared in the two datasets. The transcription factors were predicted by FunRich and miRNet. Then, GO and KEGG pathway analysis for differentially expressed genes (DEGs) performed via DAVID. Besides, these hub genes network was used the STRING and identified by Cytoscape. Finally, the expression of the hub gene expression was used to assess by the GSE81558.Results Four DEMs were selected in the datasets. The SP1 was likely to adjust the up-regulated DEMs, however, the YY1 could regulate both up-regulated and down-regulated DEMs. The total of the 3925 genes were predicted( 3447 up-regulated DEM genes and 478 down-regulated DEM genes). These predicted genes were mainly linked to Platinum drug resistance, Cellular senescence and ErbB signaling pathway. Through the gene network construction, most of the hub genes were modulated by hsa-miR-204-5p, hsa-miR-122-5p, hsa-miR-95-3p and hsa-miR-552-3p. Among the top 20 hub genes, the expression of CREB1, RHOA and EGFR was significantly different in the GSE81558 dataset.Conclusion In this study, miRNA-mRNA in CRLM were screened between CRC patients and CRLM patients to provide a new method to predict for the pathogenesis and development of CRC.