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Bioinformatics analyses combined microarray identify the deregulated microRNAs in oral cancer

MicroRNAs (miRNAs) are important in the regulation of cell growth, differentiation, apoptosis and carcinogenesis. The overexpression of oncogenic miRNAs or the underexpression of tumor suppressor miRNAs exhibits a critical function in the tumorigenesis of oral cancer. The aim of the present study wa...

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Autores principales: CUI, JING, LI, DALU, ZHANG, WENMEI, SHEN, LIANG, XU, XIN
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4063566/
https://www.ncbi.nlm.nih.gov/pubmed/24959249
http://dx.doi.org/10.3892/ol.2014.2070
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author CUI, JING
LI, DALU
ZHANG, WENMEI
SHEN, LIANG
XU, XIN
author_facet CUI, JING
LI, DALU
ZHANG, WENMEI
SHEN, LIANG
XU, XIN
author_sort CUI, JING
collection PubMed
description MicroRNAs (miRNAs) are important in the regulation of cell growth, differentiation, apoptosis and carcinogenesis. The overexpression of oncogenic miRNAs or the underexpression of tumor suppressor miRNAs exhibits a critical function in the tumorigenesis of oral cancer. The aim of the present study was to identify differentially expressed miRNAs (DE-miRNAs), which may differentiate oral cancer from normal tissues, as well as the molecular signatures that differ in tumor histology. The miRNA expression profiles of GSE28100 [the Gene Expression Omnibus (GEO) accession number] were downloaded from the GEO database and an independent sample t-test was used to identify statistical differences between the DE-miRNAs of the oral cancer patients and the healthy control subjects. The target genes of DE-miRNA were retrieved from the miRecords database. Furthermore, a protein-protein interaction network was constructed using the Search Tools for the Retrieval of Interacting Genes database and Cytoscape software. A total of 15 DE-miRNAs were identified and among them, hsa-miR-15a drew specific attention. Gene Ontology analysis revealed that the target genes of fibroblast growth factor (FGF)2 are involved in the progression of oral cancer. Furthermore, functional analysis indicated that the FGF-receptor signaling pathway was significantly upregulated in oral cancer. hsa-miR-15a is important in the regulation of oral cancer and thus, may present a potential biomarker for the prediction of oral cancer progression.
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spelling pubmed-40635662014-06-23 Bioinformatics analyses combined microarray identify the deregulated microRNAs in oral cancer CUI, JING LI, DALU ZHANG, WENMEI SHEN, LIANG XU, XIN Oncol Lett Articles MicroRNAs (miRNAs) are important in the regulation of cell growth, differentiation, apoptosis and carcinogenesis. The overexpression of oncogenic miRNAs or the underexpression of tumor suppressor miRNAs exhibits a critical function in the tumorigenesis of oral cancer. The aim of the present study was to identify differentially expressed miRNAs (DE-miRNAs), which may differentiate oral cancer from normal tissues, as well as the molecular signatures that differ in tumor histology. The miRNA expression profiles of GSE28100 [the Gene Expression Omnibus (GEO) accession number] were downloaded from the GEO database and an independent sample t-test was used to identify statistical differences between the DE-miRNAs of the oral cancer patients and the healthy control subjects. The target genes of DE-miRNA were retrieved from the miRecords database. Furthermore, a protein-protein interaction network was constructed using the Search Tools for the Retrieval of Interacting Genes database and Cytoscape software. A total of 15 DE-miRNAs were identified and among them, hsa-miR-15a drew specific attention. Gene Ontology analysis revealed that the target genes of fibroblast growth factor (FGF)2 are involved in the progression of oral cancer. Furthermore, functional analysis indicated that the FGF-receptor signaling pathway was significantly upregulated in oral cancer. hsa-miR-15a is important in the regulation of oral cancer and thus, may present a potential biomarker for the prediction of oral cancer progression. D.A. Spandidos 2014-07 2014-04-15 /pmc/articles/PMC4063566/ /pubmed/24959249 http://dx.doi.org/10.3892/ol.2014.2070 Text en Copyright © 2014, Spandidos Publications http://creativecommons.org/licenses/by/3.0 This is an open-access article licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License. The article may be redistributed, reproduced, and reused for non-commercial purposes, provided the original source is properly cited.
spellingShingle Articles
CUI, JING
LI, DALU
ZHANG, WENMEI
SHEN, LIANG
XU, XIN
Bioinformatics analyses combined microarray identify the deregulated microRNAs in oral cancer
title Bioinformatics analyses combined microarray identify the deregulated microRNAs in oral cancer
title_full Bioinformatics analyses combined microarray identify the deregulated microRNAs in oral cancer
title_fullStr Bioinformatics analyses combined microarray identify the deregulated microRNAs in oral cancer
title_full_unstemmed Bioinformatics analyses combined microarray identify the deregulated microRNAs in oral cancer
title_short Bioinformatics analyses combined microarray identify the deregulated microRNAs in oral cancer
title_sort bioinformatics analyses combined microarray identify the deregulated micrornas in oral cancer
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4063566/
https://www.ncbi.nlm.nih.gov/pubmed/24959249
http://dx.doi.org/10.3892/ol.2014.2070
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