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Identification of microRNA differentially expressed in three subtypes of non-small cell lung cancer and in silico functional analysis
Emerging studies demonstrated that miRNAs played fundamental roles in lung cancer. In this study, we attempted to explore the clinical significance of the miRNA signature in different histological subtypes of non-small cell lung cancer (NSCLC). Three miRNome profiling datasets (GSE19945, GSE25508 an...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Impact Journals LLC
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5650362/ https://www.ncbi.nlm.nih.gov/pubmed/29088807 http://dx.doi.org/10.18632/oncotarget.20218 |
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author | Hu, Yanjun Wang, Luqing Gu, Jingxian Qu, Kai Wang, Yunxia |
author_facet | Hu, Yanjun Wang, Luqing Gu, Jingxian Qu, Kai Wang, Yunxia |
author_sort | Hu, Yanjun |
collection | PubMed |
description | Emerging studies demonstrated that miRNAs played fundamental roles in lung cancer. In this study, we attempted to explore the clinical significance of the miRNA signature in different histological subtypes of non-small cell lung cancer (NSCLC). Three miRNome profiling datasets (GSE19945, GSE25508 and GSE51853) containing lung squamous cell carcinoma (SCC), lung adenocarcinoma (ADC) and large cell lung cancer (LCLC) samples were obtained for bioinformatics and survival analysis. Moreover, pathway enrichment and coexpression network were performed to explore underlying molecular mechanism. MicroRNA-375 (miR-375), miR-203 and miR-205 were identified as differentially expressed miRNAs (DEmiRNAs) which distinguished SCC from other NSCLC subtypes. Pathway enrichment analysis suggested that Hippo signaling pathway was combinatorically affected by above mentioned three miRNAs. Coexpression analysis of three miRNAs and the Hippo signaling pathway related genes were conducted based on another dataset, GSE51852. Four hub genes (TP63, RERE, TJP1 and YWHAE) were identified as the candidate targets of three miRNAs, and three of them (TP63, TJP1 and YWHAE) were validated to be downregulated by miR-203 and miR-375, respectively. Finally, survival analysis further suggested the prognostic value of three-miRNA signature in SCC patients. Taken together, our study compared the miRNA profiles among three histological subtypes of NSCLC, and suggested that a three-miRNA signature might be potential diagnostic and prognostic biomarkers for SCC patients. |
format | Online Article Text |
id | pubmed-5650362 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Impact Journals LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-56503622017-10-30 Identification of microRNA differentially expressed in three subtypes of non-small cell lung cancer and in silico functional analysis Hu, Yanjun Wang, Luqing Gu, Jingxian Qu, Kai Wang, Yunxia Oncotarget Research Paper Emerging studies demonstrated that miRNAs played fundamental roles in lung cancer. In this study, we attempted to explore the clinical significance of the miRNA signature in different histological subtypes of non-small cell lung cancer (NSCLC). Three miRNome profiling datasets (GSE19945, GSE25508 and GSE51853) containing lung squamous cell carcinoma (SCC), lung adenocarcinoma (ADC) and large cell lung cancer (LCLC) samples were obtained for bioinformatics and survival analysis. Moreover, pathway enrichment and coexpression network were performed to explore underlying molecular mechanism. MicroRNA-375 (miR-375), miR-203 and miR-205 were identified as differentially expressed miRNAs (DEmiRNAs) which distinguished SCC from other NSCLC subtypes. Pathway enrichment analysis suggested that Hippo signaling pathway was combinatorically affected by above mentioned three miRNAs. Coexpression analysis of three miRNAs and the Hippo signaling pathway related genes were conducted based on another dataset, GSE51852. Four hub genes (TP63, RERE, TJP1 and YWHAE) were identified as the candidate targets of three miRNAs, and three of them (TP63, TJP1 and YWHAE) were validated to be downregulated by miR-203 and miR-375, respectively. Finally, survival analysis further suggested the prognostic value of three-miRNA signature in SCC patients. Taken together, our study compared the miRNA profiles among three histological subtypes of NSCLC, and suggested that a three-miRNA signature might be potential diagnostic and prognostic biomarkers for SCC patients. Impact Journals LLC 2017-08-12 /pmc/articles/PMC5650362/ /pubmed/29088807 http://dx.doi.org/10.18632/oncotarget.20218 Text en Copyright: © 2017 Hu et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) 3.0 (CC BY 3.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Paper Hu, Yanjun Wang, Luqing Gu, Jingxian Qu, Kai Wang, Yunxia Identification of microRNA differentially expressed in three subtypes of non-small cell lung cancer and in silico functional analysis |
title | Identification of microRNA differentially expressed in three subtypes of non-small cell lung cancer and in silico functional analysis |
title_full | Identification of microRNA differentially expressed in three subtypes of non-small cell lung cancer and in silico functional analysis |
title_fullStr | Identification of microRNA differentially expressed in three subtypes of non-small cell lung cancer and in silico functional analysis |
title_full_unstemmed | Identification of microRNA differentially expressed in three subtypes of non-small cell lung cancer and in silico functional analysis |
title_short | Identification of microRNA differentially expressed in three subtypes of non-small cell lung cancer and in silico functional analysis |
title_sort | identification of microrna differentially expressed in three subtypes of non-small cell lung cancer and in silico functional analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5650362/ https://www.ncbi.nlm.nih.gov/pubmed/29088807 http://dx.doi.org/10.18632/oncotarget.20218 |
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