Cargando…
Integrated microRNA-mRNA analysis revealing the potential roles of microRNAs in tongue squamous cell cancer
Tongue squamous cell carcinoma (TSCC) is a rare and aggressive type of cancer, which is associated with a poor prognosis. Identification of patients at high risk of TSCC tumorigenesis may provide information for the early detection of metastases, and for potential treatment strategies. MicroRNA (miR...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4438953/ https://www.ncbi.nlm.nih.gov/pubmed/25760063 http://dx.doi.org/10.3892/mmr.2015.3467 |
_version_ | 1782372426159489024 |
---|---|
author | ZHOU, XIAO-LI WU, JUN-HUA WANG, XIN-JUAN GUO, FU-JUN |
author_facet | ZHOU, XIAO-LI WU, JUN-HUA WANG, XIN-JUAN GUO, FU-JUN |
author_sort | ZHOU, XIAO-LI |
collection | PubMed |
description | Tongue squamous cell carcinoma (TSCC) is a rare and aggressive type of cancer, which is associated with a poor prognosis. Identification of patients at high risk of TSCC tumorigenesis may provide information for the early detection of metastases, and for potential treatment strategies. MicroRNA (miRNA; miR) and mRNA expression profiling of TSCC tissue samples and normal control tissue samples were obtained from three Gene Expression Omnibus (GEO) data series. Bioinformatics analyses, including the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes were used to identify genes and pathways specifically associated with miRNA-associated TSCC oncology. A total of 25 miRNAs and 769 mRNAs were differentially expressed in the two groups assessed, and all the differentially expressed miRNA and mRNA target interactions were analyzed. The miRNA target genes were predominantly associated with 38 GO terms and 13 pathways. Of the genes differentially expressed between the two groups, and confirmed in another GEO series, miRNA-494, miRNA-96, miRNA-183, runt-related transcription factor 1, programmed cell death protein 4 and membrane-associated guanylate kinase were the most significantly altered, and may be central in the regulation of TSCC. Bioinformatics may be used to analyze large quantities of data in microarrays through rigorous experimental planning, statistical analysis and the collection of complete data on TSCC. In the present study, a novel differential miRNA-mRNA expression network was constructed, and further investigation may provide novel targets for the diagnosis of TSCC. |
format | Online Article Text |
id | pubmed-4438953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-44389532015-06-05 Integrated microRNA-mRNA analysis revealing the potential roles of microRNAs in tongue squamous cell cancer ZHOU, XIAO-LI WU, JUN-HUA WANG, XIN-JUAN GUO, FU-JUN Mol Med Rep Articles Tongue squamous cell carcinoma (TSCC) is a rare and aggressive type of cancer, which is associated with a poor prognosis. Identification of patients at high risk of TSCC tumorigenesis may provide information for the early detection of metastases, and for potential treatment strategies. MicroRNA (miRNA; miR) and mRNA expression profiling of TSCC tissue samples and normal control tissue samples were obtained from three Gene Expression Omnibus (GEO) data series. Bioinformatics analyses, including the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes were used to identify genes and pathways specifically associated with miRNA-associated TSCC oncology. A total of 25 miRNAs and 769 mRNAs were differentially expressed in the two groups assessed, and all the differentially expressed miRNA and mRNA target interactions were analyzed. The miRNA target genes were predominantly associated with 38 GO terms and 13 pathways. Of the genes differentially expressed between the two groups, and confirmed in another GEO series, miRNA-494, miRNA-96, miRNA-183, runt-related transcription factor 1, programmed cell death protein 4 and membrane-associated guanylate kinase were the most significantly altered, and may be central in the regulation of TSCC. Bioinformatics may be used to analyze large quantities of data in microarrays through rigorous experimental planning, statistical analysis and the collection of complete data on TSCC. In the present study, a novel differential miRNA-mRNA expression network was constructed, and further investigation may provide novel targets for the diagnosis of TSCC. D.A. Spandidos 2015-07 2015-03-11 /pmc/articles/PMC4438953/ /pubmed/25760063 http://dx.doi.org/10.3892/mmr.2015.3467 Text en Copyright © 2015, 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 ZHOU, XIAO-LI WU, JUN-HUA WANG, XIN-JUAN GUO, FU-JUN Integrated microRNA-mRNA analysis revealing the potential roles of microRNAs in tongue squamous cell cancer |
title | Integrated microRNA-mRNA analysis revealing the potential roles of microRNAs in tongue squamous cell cancer |
title_full | Integrated microRNA-mRNA analysis revealing the potential roles of microRNAs in tongue squamous cell cancer |
title_fullStr | Integrated microRNA-mRNA analysis revealing the potential roles of microRNAs in tongue squamous cell cancer |
title_full_unstemmed | Integrated microRNA-mRNA analysis revealing the potential roles of microRNAs in tongue squamous cell cancer |
title_short | Integrated microRNA-mRNA analysis revealing the potential roles of microRNAs in tongue squamous cell cancer |
title_sort | integrated microrna-mrna analysis revealing the potential roles of micrornas in tongue squamous cell cancer |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4438953/ https://www.ncbi.nlm.nih.gov/pubmed/25760063 http://dx.doi.org/10.3892/mmr.2015.3467 |
work_keys_str_mv | AT zhouxiaoli integratedmicrornamrnaanalysisrevealingthepotentialrolesofmicrornasintonguesquamouscellcancer AT wujunhua integratedmicrornamrnaanalysisrevealingthepotentialrolesofmicrornasintonguesquamouscellcancer AT wangxinjuan integratedmicrornamrnaanalysisrevealingthepotentialrolesofmicrornasintonguesquamouscellcancer AT guofujun integratedmicrornamrnaanalysisrevealingthepotentialrolesofmicrornasintonguesquamouscellcancer |