Abstract:Objective: To construct a competing endogenous RNA (ceRNA) network of lncRNA-miRNA-mRNA, and to screen the long non-coding RNA (lncRNA) associated with the survival prognosis of uveal melanoma (UM). Methods: In this study, the expression data set of lncRNA was screened from the Tumor Genome Atlas Database through disease prognosis correlation analysis and a subcellular localization search of lncRNA using bioinformatics methods. Target microRNAs (miRNAs) corresponding to lncRNAs were found by the mircode database, targetscan database, and common miRNAs associated with UM prognosis were screened out by Venn analysis. The common miRNA-mRNA was screened from multiple databases simultaneously. Through KEGG enrichment and lncRNA-miRNA-mRNA network visualization, candidate lncRNAs related to the survival prognosis of UM were finally identified. Results: In the prediction of downstream target miRNAs and the functional genes of lncRNAs, 630 pairs of candidate miRNA-mRNA were identified. Based on the mechanism of gene expression regulation by ceRNAs, 9 lncRNAs that might play the role of ceRNAs were screened out. KEGG analysis showed that the downstream regulatory genes of lncRNAs were mainly enriched in the signaling pathways involved in the pathological process of tumors. SHNG6 may regulate miRNAs such as has-miR-214-5p, has-miR-214-3p, has-miR-let-7b-5p, and has-miR-let-7c-3p, the regulators of downstream functional genes BAX, IGF1R, KRAS, PIK3R1, PDGFD and so on. Conclusions: Through the mechanism of ceRNAs, lncRNAs regulate the expression of a series of oncogenes involved in tumor genesis and development, and affect the prognosis and treatment of UM. lncRNAs such as SHNG6 and LINC01278 may play an important role in its occurrence, development, migration and invasion.
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