Differential expression and function prediction of miRNAs in Hepatocellular carcinoma based on bioinformatics

Objective:To analyze the differential expression and function prediction of miRNAs in Hepatocellular carcinoma (HCC) based on Bioinformatics, and to provide new ideas for early diagnosis and late intervention of HCC.Methods: The expression dataset of HCC non-coding RNA was obtained by GEO database, and differential miRNAs were screened and visualized by limma R package and pheatmap R package using R (v 3.6.0). Transcriptional factors of differential miRNAs were predicted, signaling pathway analysis and GO enrichment analysis were performed and visualized.Results: A total of 37 miRNAs were selected in HCC tissues with differential expressions, and the significant transcription factors were EGR1, POU2F1, SP1, NKX6-1, MEF2A, FOXA1, SP4, NFIC, RREB1, ARID3A, HOXA5, HNF4A, HOXD8, RORA, LHX3, POU3F2, FOXJ2, POU5F1, NKX2-1, SOX1. Differential miRNAs were found to be mainly located in the Nucleus and Cytoplasm, It has molecular functions such as Protein serine/threonine kinase activity, Receptor signaling complex scaffold activity, Transcription regulator activity and Transcription factor activity, Involved in Nucleic acid metabolism and Signal transduction and Cell communication. Through The epidermal growth factor receptor (EGFR), IGF-1,γ-IFN, Plasma membrane estrogen receptor signaling pathways play a role, and differential miRNAs is associated with VEGF, VEGFR, PDGF, Hepatocyte Growth Factor Receptor (c-Met), Protein serine/threonine kinase mediated signaling events.Conclusion:Differential mirnas in hepatocellular carcinoma are closely related to tumor development and progression, and differential miRNAs can be used as potential markers for early diagnosis of HCC, providing new ideas for late intervention.