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Screening of potentially crucial genes and regulatory factors involved in epithelial ovarian cancer using microarray analysis

The present study aimed to screen potential genes implicated in epithelial ovarian cancer (EOC) and to further understand the molecular pathogenesis of EOC. In order to do this, datasets GSE14407 (containing 12 human ovarian cancer epithelia samples and 12 normal epithelia samples) and GSE29220 (con...

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Autores principales: Shi, Can, Zhang, Zhenyu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5494615/
https://www.ncbi.nlm.nih.gov/pubmed/28693226
http://dx.doi.org/10.3892/ol.2017.6183
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author Shi, Can
Zhang, Zhenyu
author_facet Shi, Can
Zhang, Zhenyu
author_sort Shi, Can
collection PubMed
description The present study aimed to screen potential genes implicated in epithelial ovarian cancer (EOC) and to further understand the molecular pathogenesis of EOC. In order to do this, datasets GSE14407 (containing 12 human ovarian cancer epithelia samples and 12 normal epithelia samples) and GSE29220 (containing 11 salivary transcriptomes from ovarian cancer patients with serous papillary adenocarcinoma and 11 matched controls) were obtained from the Gene Expression Omnibus. Differentially expressed genes (DEGs) within these datasets were screened using the Linear Models for Microarray Data package, and potential gene functions were predicted by functional and pathway enrichment analyses. Additionally, module analysis of protein-protein interaction networks was performed using MCODE software in Cytoscape. The potential microRNAs (miRNAs/miRs) and transcription factors (TFs) regulating DEGs were also analyzed, and the integrated TF-DEG and miRNA-DEG regulatory networks were visualized with Cytoscape. In total, 31 upregulated DEGs and 64 downregulated DEGs were screened. The upregulated DEGs, such as centromere protein F (CENPF) and ubiquitin like with PHD and ring finger domains 1 (UHRF1), were significantly associated with the cell cycle and were regulated by the TF nuclear transcription factor Y (NF-Y). CENPF was modulated by miR-373, and UHRF1 was regulated by miR-146a. The downregulated DEGs, such as aldehyde dehydrogenase 1 family member A2 (ALDH1A2), were distinctly involved in the response to estrogen stimulus and modulated by tumor protein 53 (TP53); protocadherin 9 (PCDH9) was regulated by TP53, miR-92b-3p and miR-137. The DEGs, including CENPF, UHRF1, ALDH1A2 and PCDH9, and a set of gene regulators, including all NFY genes, TP53, miR-373, miR-146a, miR-92b-3p and miR-137, may be involved in the pathogenesis of EOC.
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spelling pubmed-54946152017-07-07 Screening of potentially crucial genes and regulatory factors involved in epithelial ovarian cancer using microarray analysis Shi, Can Zhang, Zhenyu Oncol Lett Articles The present study aimed to screen potential genes implicated in epithelial ovarian cancer (EOC) and to further understand the molecular pathogenesis of EOC. In order to do this, datasets GSE14407 (containing 12 human ovarian cancer epithelia samples and 12 normal epithelia samples) and GSE29220 (containing 11 salivary transcriptomes from ovarian cancer patients with serous papillary adenocarcinoma and 11 matched controls) were obtained from the Gene Expression Omnibus. Differentially expressed genes (DEGs) within these datasets were screened using the Linear Models for Microarray Data package, and potential gene functions were predicted by functional and pathway enrichment analyses. Additionally, module analysis of protein-protein interaction networks was performed using MCODE software in Cytoscape. The potential microRNAs (miRNAs/miRs) and transcription factors (TFs) regulating DEGs were also analyzed, and the integrated TF-DEG and miRNA-DEG regulatory networks were visualized with Cytoscape. In total, 31 upregulated DEGs and 64 downregulated DEGs were screened. The upregulated DEGs, such as centromere protein F (CENPF) and ubiquitin like with PHD and ring finger domains 1 (UHRF1), were significantly associated with the cell cycle and were regulated by the TF nuclear transcription factor Y (NF-Y). CENPF was modulated by miR-373, and UHRF1 was regulated by miR-146a. The downregulated DEGs, such as aldehyde dehydrogenase 1 family member A2 (ALDH1A2), were distinctly involved in the response to estrogen stimulus and modulated by tumor protein 53 (TP53); protocadherin 9 (PCDH9) was regulated by TP53, miR-92b-3p and miR-137. The DEGs, including CENPF, UHRF1, ALDH1A2 and PCDH9, and a set of gene regulators, including all NFY genes, TP53, miR-373, miR-146a, miR-92b-3p and miR-137, may be involved in the pathogenesis of EOC. D.A. Spandidos 2017-07 2017-05-17 /pmc/articles/PMC5494615/ /pubmed/28693226 http://dx.doi.org/10.3892/ol.2017.6183 Text en Copyright: © Shi 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
Shi, Can
Zhang, Zhenyu
Screening of potentially crucial genes and regulatory factors involved in epithelial ovarian cancer using microarray analysis
title Screening of potentially crucial genes and regulatory factors involved in epithelial ovarian cancer using microarray analysis
title_full Screening of potentially crucial genes and regulatory factors involved in epithelial ovarian cancer using microarray analysis
title_fullStr Screening of potentially crucial genes and regulatory factors involved in epithelial ovarian cancer using microarray analysis
title_full_unstemmed Screening of potentially crucial genes and regulatory factors involved in epithelial ovarian cancer using microarray analysis
title_short Screening of potentially crucial genes and regulatory factors involved in epithelial ovarian cancer using microarray analysis
title_sort screening of potentially crucial genes and regulatory factors involved in epithelial ovarian cancer using microarray analysis
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5494615/
https://www.ncbi.nlm.nih.gov/pubmed/28693226
http://dx.doi.org/10.3892/ol.2017.6183
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