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Competing endogenous RNA regulatory network in papillary thyroid carcinoma

The present study aimed to screen all types of RNAs involved in the development of papillary thyroid carcinoma (PTC). RNA-sequencing data of PTC and normal samples were used for screening differentially expressed (DE) microRNAs (DE-miRNAs), long non-coding RNAs (DE-lncRNAs) and genes (DEGs). Subsequ...

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Autores principales: Chen, Shouhua, Fan, Xiaobin, Gu, He, Zhang, Lili, Zhao, Wenhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059698/
https://www.ncbi.nlm.nih.gov/pubmed/29767230
http://dx.doi.org/10.3892/mmr.2018.9009
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author Chen, Shouhua
Fan, Xiaobin
Gu, He
Zhang, Lili
Zhao, Wenhua
author_facet Chen, Shouhua
Fan, Xiaobin
Gu, He
Zhang, Lili
Zhao, Wenhua
author_sort Chen, Shouhua
collection PubMed
description The present study aimed to screen all types of RNAs involved in the development of papillary thyroid carcinoma (PTC). RNA-sequencing data of PTC and normal samples were used for screening differentially expressed (DE) microRNAs (DE-miRNAs), long non-coding RNAs (DE-lncRNAs) and genes (DEGs). Subsequently, lncRNA-miRNA, miRNA-gene (that is, miRNA-mRNA) and gene-gene interaction pairs were extracted and used to construct regulatory networks. Feature genes in the miRNA-mRNA network were identified by topological analysis and recursive feature elimination analysis. A support vector machine (SVM) classifier was built using 15 feature genes, and its classification effect was validated using two microarray data sets that were downloaded from the Gene Expression Omnibus (GEO) database. In addition, Gene Ontology function and Kyoto Encyclopedia Genes and Genomes pathway enrichment analyses were conducted for genes identified in the ceRNA network. A total of 506 samples, including 447 tumor samples and 59 normal samples, were obtained from The Cancer Genome Atlas (TCGA); 16 DE-lncRNAs, 917 DEGs and 30 DE-miRNAs were screened. The miRNA-mRNA regulatory network comprised 353 nodes and 577 interactions. From these data, 15 feature genes with high predictive precision (>95%) were extracted from the network and were used to form an SVM classifier with an accuracy of 96.05% (486/506) for PTC samples downloaded from TCGA, and accuracies of 96.81 and 98.46% for GEO downloaded data sets. The ceRNA regulatory network comprised 596 lines (or interactions) and 365 nodes. Genes in the ceRNA network were significantly enriched in ‘neuron development’, ‘differentiation’, ‘neuroactive ligand-receptor interaction’, ‘metabolism of xenobiotics by cytochrome P450’, ‘drug metabolism’ and ‘cytokine-cytokine receptor interaction’ pathways. Hox transcript antisense RNA, miRNA-206 and kallikrein-related peptidase 10 were nodes in the ceRNA regulatory network of the selected feature gene, and they may serve import roles in the development of PTC.
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spelling pubmed-60596982018-07-26 Competing endogenous RNA regulatory network in papillary thyroid carcinoma Chen, Shouhua Fan, Xiaobin Gu, He Zhang, Lili Zhao, Wenhua Mol Med Rep Articles The present study aimed to screen all types of RNAs involved in the development of papillary thyroid carcinoma (PTC). RNA-sequencing data of PTC and normal samples were used for screening differentially expressed (DE) microRNAs (DE-miRNAs), long non-coding RNAs (DE-lncRNAs) and genes (DEGs). Subsequently, lncRNA-miRNA, miRNA-gene (that is, miRNA-mRNA) and gene-gene interaction pairs were extracted and used to construct regulatory networks. Feature genes in the miRNA-mRNA network were identified by topological analysis and recursive feature elimination analysis. A support vector machine (SVM) classifier was built using 15 feature genes, and its classification effect was validated using two microarray data sets that were downloaded from the Gene Expression Omnibus (GEO) database. In addition, Gene Ontology function and Kyoto Encyclopedia Genes and Genomes pathway enrichment analyses were conducted for genes identified in the ceRNA network. A total of 506 samples, including 447 tumor samples and 59 normal samples, were obtained from The Cancer Genome Atlas (TCGA); 16 DE-lncRNAs, 917 DEGs and 30 DE-miRNAs were screened. The miRNA-mRNA regulatory network comprised 353 nodes and 577 interactions. From these data, 15 feature genes with high predictive precision (>95%) were extracted from the network and were used to form an SVM classifier with an accuracy of 96.05% (486/506) for PTC samples downloaded from TCGA, and accuracies of 96.81 and 98.46% for GEO downloaded data sets. The ceRNA regulatory network comprised 596 lines (or interactions) and 365 nodes. Genes in the ceRNA network were significantly enriched in ‘neuron development’, ‘differentiation’, ‘neuroactive ligand-receptor interaction’, ‘metabolism of xenobiotics by cytochrome P450’, ‘drug metabolism’ and ‘cytokine-cytokine receptor interaction’ pathways. Hox transcript antisense RNA, miRNA-206 and kallikrein-related peptidase 10 were nodes in the ceRNA regulatory network of the selected feature gene, and they may serve import roles in the development of PTC. D.A. Spandidos 2018-07 2018-05-11 /pmc/articles/PMC6059698/ /pubmed/29767230 http://dx.doi.org/10.3892/mmr.2018.9009 Text en Copyright: © Chen 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
Chen, Shouhua
Fan, Xiaobin
Gu, He
Zhang, Lili
Zhao, Wenhua
Competing endogenous RNA regulatory network in papillary thyroid carcinoma
title Competing endogenous RNA regulatory network in papillary thyroid carcinoma
title_full Competing endogenous RNA regulatory network in papillary thyroid carcinoma
title_fullStr Competing endogenous RNA regulatory network in papillary thyroid carcinoma
title_full_unstemmed Competing endogenous RNA regulatory network in papillary thyroid carcinoma
title_short Competing endogenous RNA regulatory network in papillary thyroid carcinoma
title_sort competing endogenous rna regulatory network in papillary thyroid carcinoma
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6059698/
https://www.ncbi.nlm.nih.gov/pubmed/29767230
http://dx.doi.org/10.3892/mmr.2018.9009
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