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Comprehensive analysis of long non-coding RNA using an associated competitive endogenous RNA network in Wilms tumor

Wilms tumor (WT) is the most common malignant renal neoplasm in children; however, the underlying molecular mechanisms are not well understood. According to the competing endogenous RNA (ceRNA) theory, long non-coding RNAs (lncRNAs) can regulate the expression of target genes by adsorbing microRNAs...

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Autores principales: Wang, Zhichao, Cheng, Huiyan, Qi, Lingli, Sui, Dayun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7252721/
https://www.ncbi.nlm.nih.gov/pubmed/32377711
http://dx.doi.org/10.3892/mmr.2020.11124
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author Wang, Zhichao
Cheng, Huiyan
Qi, Lingli
Sui, Dayun
author_facet Wang, Zhichao
Cheng, Huiyan
Qi, Lingli
Sui, Dayun
author_sort Wang, Zhichao
collection PubMed
description Wilms tumor (WT) is the most common malignant renal neoplasm in children; however, the underlying molecular mechanisms are not well understood. According to the competing endogenous RNA (ceRNA) theory, long non-coding RNAs (lncRNAs) can regulate the expression of target genes by adsorbing microRNAs (miRNAs/miRs). However, the role of lncRNAs in WT has not been fully elucidated. The aim of the present study was to construct a ceRNA network to identify the potential lncRNAs involved in WT. The expression profiles of lncRNAs, miRNAs and mRNAs in 120 WT and six normal tissues were obtained from the Therapeutically Applicable Research to Generate Effective Treatments database. A total of 442 lncRNAs, 214 miRNAs and 4,912 mRNAs were identified as differentially expressed in WT and were enriched in 472 Gene Ontology terms (355 biological processes, 89 cellular components and 29 molecular functions) and 18 Kyoto Encyclopedia of Genes and Genomes pathways. A lncRNA-miRNA-mRNA ceRNA network of WT consisting of with 32 lncRNAs, 14 miRNAs and 158 mRNAs was constructed, based on the bioinformatics analysis of the miR target prediction database and the miRNAcode, miRTarBase and TargetScan databases. Subsequently, three lncRNAs, three miRNAs and 17 mRNAs, which had a significant effect on the overall survival rate of patients with WT, were identified based on the survival analysis. The three lncRNAs were also differentially expressed in the late and early stages of WT and were validated using the GSE66405 dataset obtained from the Gene Expression Omnibus database. In conclusion, the present study generated a specific lncRNA-related ceRNA network of WT, which may provide a novel perspective on the molecular mechanisms underlying the progression and prognosis of the disease.
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spelling pubmed-72527212020-05-28 Comprehensive analysis of long non-coding RNA using an associated competitive endogenous RNA network in Wilms tumor Wang, Zhichao Cheng, Huiyan Qi, Lingli Sui, Dayun Mol Med Rep Articles Wilms tumor (WT) is the most common malignant renal neoplasm in children; however, the underlying molecular mechanisms are not well understood. According to the competing endogenous RNA (ceRNA) theory, long non-coding RNAs (lncRNAs) can regulate the expression of target genes by adsorbing microRNAs (miRNAs/miRs). However, the role of lncRNAs in WT has not been fully elucidated. The aim of the present study was to construct a ceRNA network to identify the potential lncRNAs involved in WT. The expression profiles of lncRNAs, miRNAs and mRNAs in 120 WT and six normal tissues were obtained from the Therapeutically Applicable Research to Generate Effective Treatments database. A total of 442 lncRNAs, 214 miRNAs and 4,912 mRNAs were identified as differentially expressed in WT and were enriched in 472 Gene Ontology terms (355 biological processes, 89 cellular components and 29 molecular functions) and 18 Kyoto Encyclopedia of Genes and Genomes pathways. A lncRNA-miRNA-mRNA ceRNA network of WT consisting of with 32 lncRNAs, 14 miRNAs and 158 mRNAs was constructed, based on the bioinformatics analysis of the miR target prediction database and the miRNAcode, miRTarBase and TargetScan databases. Subsequently, three lncRNAs, three miRNAs and 17 mRNAs, which had a significant effect on the overall survival rate of patients with WT, were identified based on the survival analysis. The three lncRNAs were also differentially expressed in the late and early stages of WT and were validated using the GSE66405 dataset obtained from the Gene Expression Omnibus database. In conclusion, the present study generated a specific lncRNA-related ceRNA network of WT, which may provide a novel perspective on the molecular mechanisms underlying the progression and prognosis of the disease. D.A. Spandidos 2020-07 2020-05-05 /pmc/articles/PMC7252721/ /pubmed/32377711 http://dx.doi.org/10.3892/mmr.2020.11124 Text en Copyright: © Wang et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.
spellingShingle Articles
Wang, Zhichao
Cheng, Huiyan
Qi, Lingli
Sui, Dayun
Comprehensive analysis of long non-coding RNA using an associated competitive endogenous RNA network in Wilms tumor
title Comprehensive analysis of long non-coding RNA using an associated competitive endogenous RNA network in Wilms tumor
title_full Comprehensive analysis of long non-coding RNA using an associated competitive endogenous RNA network in Wilms tumor
title_fullStr Comprehensive analysis of long non-coding RNA using an associated competitive endogenous RNA network in Wilms tumor
title_full_unstemmed Comprehensive analysis of long non-coding RNA using an associated competitive endogenous RNA network in Wilms tumor
title_short Comprehensive analysis of long non-coding RNA using an associated competitive endogenous RNA network in Wilms tumor
title_sort comprehensive analysis of long non-coding rna using an associated competitive endogenous rna network in wilms tumor
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7252721/
https://www.ncbi.nlm.nih.gov/pubmed/32377711
http://dx.doi.org/10.3892/mmr.2020.11124
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