Cargando…

An integrated methylation and gene expression microarray analysis reveals significant prognostic biomarkers in oral squamous cell carcinoma

Oral squamous cell carcinoma (OSCC) is a life-threatening disease with a poor prognosis. Although previous studies have reported that the methylation of certain genes is associated with the pathogenesis of OSCC, the methylation of genes that have relevance to OSCC progression is not clearly document...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhao, Chenguang, Zou, Huiru, Zhang, Jun, Wang, Jinhui, Liu, Hao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151890/
https://www.ncbi.nlm.nih.gov/pubmed/30226546
http://dx.doi.org/10.3892/or.2018.6702
_version_ 1783357251164045312
author Zhao, Chenguang
Zou, Huiru
Zhang, Jun
Wang, Jinhui
Liu, Hao
author_facet Zhao, Chenguang
Zou, Huiru
Zhang, Jun
Wang, Jinhui
Liu, Hao
author_sort Zhao, Chenguang
collection PubMed
description Oral squamous cell carcinoma (OSCC) is a life-threatening disease with a poor prognosis. Although previous studies have reported that the methylation of certain genes is associated with the pathogenesis of OSCC, the methylation of genes that have relevance to OSCC progression is not clearly documented. The present study aimed to gain insights into the mechanisms underlying DNA methylation regulation associated with OSCC progression and to identify potential prognostic markers for OSCC treatment. DNA methylation dataset GSE41114 and gene expression dataset GSE74530 were downloaded from the Gene Expression Omnibus database. The global methylation status of OSCC tumor samples and normal control samples was determined, and differentially methylated genes (DMGs) in OSCC samples compared with control samples were identified. The mRNA expression data were then integrated to identify differentially expressed genes (DEGs) in OSCC samples compared with control samples. Overlapping genes between DEGs and DMGs were identified, and functional enrichment analysis was performed. In addition, survival analysis of the overlapping genes was performed to screen genes with prognostic significance in OSCC. A total of 40,115 differential methylation CpG sites spanning 3,360 DMGs were identified; CpG sites in the promoter, gene body and intergenic regions were generally highly hypermethylated or hypomethylated. Additionally, 508 DEGs in OSCC samples were identified, including 332 upregulated and 176 downregulated genes. A total of 82 overlapping genes between DEGs and DMGs were found, which were mainly involved in protein metabolism, regulation of the metabolic process and the immune system. Additionally, differential methylation or expression of several genes, including fibroblast activation protein α (FAP), interferon α inducible protein 27 (IFI27), laminin subunit γ2 (LAMC2), matrix metallopeptidase 1 (MMP1), serine peptidase inhibitor Kazal-type 5 (SPINK5) and zinc finger protein 662 (ZNF662), was significantly associated with the survival of OSCC patients, and their differential expression in OSCC patients was further confirmed by reverse transcription-quantitative polymerase chain reaction in OSCC and normal oral cell lines. Overall, FAP, IFI27, LAMC2, MMP1, SPINK5 and ZNF662 genes caused by epigenetic changes via DNA methylation may be associated with the development and progression of OSCC, and should be valuable OSCC therapeutic biomarkers.
format Online
Article
Text
id pubmed-6151890
institution National Center for Biotechnology Information
language English
publishDate 2018
publisher D.A. Spandidos
record_format MEDLINE/PubMed
spelling pubmed-61518902018-09-25 An integrated methylation and gene expression microarray analysis reveals significant prognostic biomarkers in oral squamous cell carcinoma Zhao, Chenguang Zou, Huiru Zhang, Jun Wang, Jinhui Liu, Hao Oncol Rep Articles Oral squamous cell carcinoma (OSCC) is a life-threatening disease with a poor prognosis. Although previous studies have reported that the methylation of certain genes is associated with the pathogenesis of OSCC, the methylation of genes that have relevance to OSCC progression is not clearly documented. The present study aimed to gain insights into the mechanisms underlying DNA methylation regulation associated with OSCC progression and to identify potential prognostic markers for OSCC treatment. DNA methylation dataset GSE41114 and gene expression dataset GSE74530 were downloaded from the Gene Expression Omnibus database. The global methylation status of OSCC tumor samples and normal control samples was determined, and differentially methylated genes (DMGs) in OSCC samples compared with control samples were identified. The mRNA expression data were then integrated to identify differentially expressed genes (DEGs) in OSCC samples compared with control samples. Overlapping genes between DEGs and DMGs were identified, and functional enrichment analysis was performed. In addition, survival analysis of the overlapping genes was performed to screen genes with prognostic significance in OSCC. A total of 40,115 differential methylation CpG sites spanning 3,360 DMGs were identified; CpG sites in the promoter, gene body and intergenic regions were generally highly hypermethylated or hypomethylated. Additionally, 508 DEGs in OSCC samples were identified, including 332 upregulated and 176 downregulated genes. A total of 82 overlapping genes between DEGs and DMGs were found, which were mainly involved in protein metabolism, regulation of the metabolic process and the immune system. Additionally, differential methylation or expression of several genes, including fibroblast activation protein α (FAP), interferon α inducible protein 27 (IFI27), laminin subunit γ2 (LAMC2), matrix metallopeptidase 1 (MMP1), serine peptidase inhibitor Kazal-type 5 (SPINK5) and zinc finger protein 662 (ZNF662), was significantly associated with the survival of OSCC patients, and their differential expression in OSCC patients was further confirmed by reverse transcription-quantitative polymerase chain reaction in OSCC and normal oral cell lines. Overall, FAP, IFI27, LAMC2, MMP1, SPINK5 and ZNF662 genes caused by epigenetic changes via DNA methylation may be associated with the development and progression of OSCC, and should be valuable OSCC therapeutic biomarkers. D.A. Spandidos 2018-11 2018-09-12 /pmc/articles/PMC6151890/ /pubmed/30226546 http://dx.doi.org/10.3892/or.2018.6702 Text en Copyright: © Zhao 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
Zhao, Chenguang
Zou, Huiru
Zhang, Jun
Wang, Jinhui
Liu, Hao
An integrated methylation and gene expression microarray analysis reveals significant prognostic biomarkers in oral squamous cell carcinoma
title An integrated methylation and gene expression microarray analysis reveals significant prognostic biomarkers in oral squamous cell carcinoma
title_full An integrated methylation and gene expression microarray analysis reveals significant prognostic biomarkers in oral squamous cell carcinoma
title_fullStr An integrated methylation and gene expression microarray analysis reveals significant prognostic biomarkers in oral squamous cell carcinoma
title_full_unstemmed An integrated methylation and gene expression microarray analysis reveals significant prognostic biomarkers in oral squamous cell carcinoma
title_short An integrated methylation and gene expression microarray analysis reveals significant prognostic biomarkers in oral squamous cell carcinoma
title_sort integrated methylation and gene expression microarray analysis reveals significant prognostic biomarkers in oral squamous cell carcinoma
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6151890/
https://www.ncbi.nlm.nih.gov/pubmed/30226546
http://dx.doi.org/10.3892/or.2018.6702
work_keys_str_mv AT zhaochenguang anintegratedmethylationandgeneexpressionmicroarrayanalysisrevealssignificantprognosticbiomarkersinoralsquamouscellcarcinoma
AT zouhuiru anintegratedmethylationandgeneexpressionmicroarrayanalysisrevealssignificantprognosticbiomarkersinoralsquamouscellcarcinoma
AT zhangjun anintegratedmethylationandgeneexpressionmicroarrayanalysisrevealssignificantprognosticbiomarkersinoralsquamouscellcarcinoma
AT wangjinhui anintegratedmethylationandgeneexpressionmicroarrayanalysisrevealssignificantprognosticbiomarkersinoralsquamouscellcarcinoma
AT liuhao anintegratedmethylationandgeneexpressionmicroarrayanalysisrevealssignificantprognosticbiomarkersinoralsquamouscellcarcinoma
AT zhaochenguang integratedmethylationandgeneexpressionmicroarrayanalysisrevealssignificantprognosticbiomarkersinoralsquamouscellcarcinoma
AT zouhuiru integratedmethylationandgeneexpressionmicroarrayanalysisrevealssignificantprognosticbiomarkersinoralsquamouscellcarcinoma
AT zhangjun integratedmethylationandgeneexpressionmicroarrayanalysisrevealssignificantprognosticbiomarkersinoralsquamouscellcarcinoma
AT wangjinhui integratedmethylationandgeneexpressionmicroarrayanalysisrevealssignificantprognosticbiomarkersinoralsquamouscellcarcinoma
AT liuhao integratedmethylationandgeneexpressionmicroarrayanalysisrevealssignificantprognosticbiomarkersinoralsquamouscellcarcinoma