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Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray

Cervical cancer is the second most commonly diagnosed type of cancer and the third leading cause of cancer-associated mortality in women. The current study aimed to determine the genes associated with cervical cancer development. Microarray data (GSE55940 and GSE46306) were downloaded from Gene Expr...

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Autores principales: LIU, MING-YAN, ZHANG, HONG, HU, YUAN-JING, CHEN, YU-WEI, ZHAO, XIAO-NAN
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4907103/
https://www.ncbi.nlm.nih.gov/pubmed/27347167
http://dx.doi.org/10.3892/ol.2016.4658
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author LIU, MING-YAN
ZHANG, HONG
HU, YUAN-JING
CHEN, YU-WEI
ZHAO, XIAO-NAN
author_facet LIU, MING-YAN
ZHANG, HONG
HU, YUAN-JING
CHEN, YU-WEI
ZHAO, XIAO-NAN
author_sort LIU, MING-YAN
collection PubMed
description Cervical cancer is the second most commonly diagnosed type of cancer and the third leading cause of cancer-associated mortality in women. The current study aimed to determine the genes associated with cervical cancer development. Microarray data (GSE55940 and GSE46306) were downloaded from Gene Expression Omnibus. Overlapping genes between the differentially expressed genes (DEGs) in GSE55940 (identified by Limma package) and the differentially methylated genes were screened. Gene Ontology (GO) enrichment analysis was subsequently performed for these genes using the ToppGene database. In GSE55940, 91 downregulated and 151 upregulated DEGs were identified. In GSE46306, 561 overlapping differentially methylated genes were obtained through the differential methylation analysis at the CpG site level, CpG island level and gene level. A total of 5 overlapping genes [dipeptidyl peptidase 4 (DPP4); endothelin 3 (EDN3); fibroblast growth factor 14 (FGF14); tachykinin, precursor 1 (TAC1); and wingless-type MMTV integration site family, member 16 (WNT16)] between the 561 overlapping differentially methylated genes and the 242 DEGs were identified, which were downregulated and hypermethylated simultaneously in cervical cancer samples. Enriched GO terms were receptor binding (involving DPP4, EDN3, FGF14, TAC1 and WNT16), ameboidal-type cell migration (DPP4, EDN3 and TAC1), mitogen-activated protein kinase cascade (FGF14, EDN3 and WNT16) and cell proliferation (EDN3, WNT16, DPP4 and TAC1). These results indicate that DPP4, EDN3, FGF14, TAC1 and WNT16 may be involved in the pathogenesis of cervical cancer.
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spelling pubmed-49071032016-06-24 Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray LIU, MING-YAN ZHANG, HONG HU, YUAN-JING CHEN, YU-WEI ZHAO, XIAO-NAN Oncol Lett Articles Cervical cancer is the second most commonly diagnosed type of cancer and the third leading cause of cancer-associated mortality in women. The current study aimed to determine the genes associated with cervical cancer development. Microarray data (GSE55940 and GSE46306) were downloaded from Gene Expression Omnibus. Overlapping genes between the differentially expressed genes (DEGs) in GSE55940 (identified by Limma package) and the differentially methylated genes were screened. Gene Ontology (GO) enrichment analysis was subsequently performed for these genes using the ToppGene database. In GSE55940, 91 downregulated and 151 upregulated DEGs were identified. In GSE46306, 561 overlapping differentially methylated genes were obtained through the differential methylation analysis at the CpG site level, CpG island level and gene level. A total of 5 overlapping genes [dipeptidyl peptidase 4 (DPP4); endothelin 3 (EDN3); fibroblast growth factor 14 (FGF14); tachykinin, precursor 1 (TAC1); and wingless-type MMTV integration site family, member 16 (WNT16)] between the 561 overlapping differentially methylated genes and the 242 DEGs were identified, which were downregulated and hypermethylated simultaneously in cervical cancer samples. Enriched GO terms were receptor binding (involving DPP4, EDN3, FGF14, TAC1 and WNT16), ameboidal-type cell migration (DPP4, EDN3 and TAC1), mitogen-activated protein kinase cascade (FGF14, EDN3 and WNT16) and cell proliferation (EDN3, WNT16, DPP4 and TAC1). These results indicate that DPP4, EDN3, FGF14, TAC1 and WNT16 may be involved in the pathogenesis of cervical cancer. D.A. Spandidos 2016-07 2016-06-01 /pmc/articles/PMC4907103/ /pubmed/27347167 http://dx.doi.org/10.3892/ol.2016.4658 Text en Copyright: © Liu 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
LIU, MING-YAN
ZHANG, HONG
HU, YUAN-JING
CHEN, YU-WEI
ZHAO, XIAO-NAN
Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray
title Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray
title_full Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray
title_fullStr Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray
title_full_unstemmed Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray
title_short Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray
title_sort identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4907103/
https://www.ncbi.nlm.nih.gov/pubmed/27347167
http://dx.doi.org/10.3892/ol.2016.4658
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