2020
DOI: 10.21203/rs.3.rs-18709/v1
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Construction and analysis of the lncRNA-miRNA-mRNA network based on competitive endogenous RNA reveal functional lncRNAs in oral cancer

Abstract: Background There is a growing body of evidence suggesting that long non-coding RNAs(lncRNAs) can function as a microRNA(miRNA) sponge in various diseases including oral cancer. However, we are still not very clear about the pathophysiological function of lncRNAs. Methods We constructed a lncRNA-miRNA-mRNA network in oral cancer based on the competitive endogenous RNA(ceRNA) theory with the human expression profiles GSE74530 from the Gene Expression Omnibus (GEO) database and used topological analysis to determ… Show more

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Cited by 2 publications
(2 citation statements)
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“…We conducted Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analyses for the mRNAs involved in the constructed lncRNA-related network using the R package “clusterprofiler”, with a set of cut-off criteria at P < 0.05 [ 24 ]. The online database Retrieval of Interacting Gene (STRING) was used to construct a protein-protein interaction (PPI) network [ 25 ].…”
Section: Methodsmentioning
confidence: 99%
“…We conducted Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analyses for the mRNAs involved in the constructed lncRNA-related network using the R package “clusterprofiler”, with a set of cut-off criteria at P < 0.05 [ 24 ]. The online database Retrieval of Interacting Gene (STRING) was used to construct a protein-protein interaction (PPI) network [ 25 ].…”
Section: Methodsmentioning
confidence: 99%
“…We conducted Gene Ontology (GO) enrichment and Kyoto Encyclopedia of Genes and Genome (KEGG) pathway analyses for the mRNAs involved in the constructed lncRNA related network using the R package "clusterpro ler", with a set of cut-off criteria at P <0.05 [24]. The online database Retrieval of Interacting Gene (STRING) was used to construct Protein-protein interaction (PPI) network [25].…”
Section: Functional Annotation and Pathway Analysismentioning
confidence: 99%