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Cross-validation of genes potentially associated with neoadjuvant chemotherapy and platinum-based chemoresistance in epithelial ovarian carcinoma

Ovarian carcinomas have the poorest prognosis and the highest mortality among gynecological malignancies. Neoadjuvant chemotherapy (NACT) is considered as a novel therapeutic strategy and an alternative treatment for advanced epithelial ovarian cancer (AEOC). The aim of the present study was to iden...

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Autores principales: Zhang, Kai, Wang, Weihan, Chen, Lingli, Liu, Yulin, Hu, Jiali, Guo, Fei, Tian, Wenyan, Wang, Yingmei, Xue, Fengxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: D.A. Spandidos 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388274/
https://www.ncbi.nlm.nih.gov/pubmed/32705213
http://dx.doi.org/10.3892/or.2020.7668
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author Zhang, Kai
Wang, Weihan
Chen, Lingli
Liu, Yulin
Hu, Jiali
Guo, Fei
Tian, Wenyan
Wang, Yingmei
Xue, Fengxia
author_facet Zhang, Kai
Wang, Weihan
Chen, Lingli
Liu, Yulin
Hu, Jiali
Guo, Fei
Tian, Wenyan
Wang, Yingmei
Xue, Fengxia
author_sort Zhang, Kai
collection PubMed
description Ovarian carcinomas have the poorest prognosis and the highest mortality among gynecological malignancies. Neoadjuvant chemotherapy (NACT) is considered as a novel therapeutic strategy and an alternative treatment for advanced epithelial ovarian cancer (AEOC). The aim of the present study was to identify the core genes related to platinum-based NACT resistance in AEOC and to allow screening at the molecular level for the most appropriate ovarian cancer patients for NACT. We obtained three drug-resistant microarrays GSE114206, GSE41499 and GSE33482 from the Gene Expression Omnibus (GEO) database as well as a microarray representing NACT, GSE109934. Bioinformatics analysis revealed the nature of the four potential candidate genes for using in functional enrichment analyses and interaction network construction. The potential associations and possible genetic alterations among the DEGs were summarized using the STRING database in Cytoscape and the cBioPortal visualization tool, respectively. A total of 63 genes were identified as DEGs from GSE109934 representing NACT. From the drug-resistant GSE114206 and GSE41499 datasets, 106 DEGs containing 36 upregulated genes and 70 downregulated genes were selected, and from the drug-resistant GSE114206 and GSE33482 datasets, 406 DEGs with 157 upregulated genes and 249 downregulated genes were selected. The 36 upregulated DEGs and the 70 downregulated genes were notably abundant in the different categories. In KEGG pathway analysis, the 157 upregulated genes and the 249 downregulated genes were concentrated in distinctive signaling pathways. Four potential genes associated with NACT and platinum-based chemoresistance were screened, including nuclear factor of activated T-cells, cytoplasmic 1 (NAFTc1), Kruppel-like factor 4 (KLF4), nuclear receptor subfamily 4 group A member 3 (NR4A3) and hepatocyte growth factor (HGF). Our study showed that the mRNA expression levels of NAFTc1, NR4A3 and HGF were increased in drug-resistant OC cell lines (all P<0.01), whereas the mRNA expression levels of KLF4 were notably lower in the SKOV3-CDDP and HeyA8-CDDP cell line (all P<0.01) but higher in the A2780-CBP cell line. The NAFTc1, KLF4, NR4A3 and HGF genes may be potential therapeutic targets for NACT and platinum-based chemoresistance factors as well as candidate biomarkers in AEOC. Determination of the expression levels of these four genes in tumor tissues before planning NACT treatment or initial surgery would be beneficial for AEOC patients.
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spelling pubmed-73882742020-07-31 Cross-validation of genes potentially associated with neoadjuvant chemotherapy and platinum-based chemoresistance in epithelial ovarian carcinoma Zhang, Kai Wang, Weihan Chen, Lingli Liu, Yulin Hu, Jiali Guo, Fei Tian, Wenyan Wang, Yingmei Xue, Fengxia Oncol Rep Articles Ovarian carcinomas have the poorest prognosis and the highest mortality among gynecological malignancies. Neoadjuvant chemotherapy (NACT) is considered as a novel therapeutic strategy and an alternative treatment for advanced epithelial ovarian cancer (AEOC). The aim of the present study was to identify the core genes related to platinum-based NACT resistance in AEOC and to allow screening at the molecular level for the most appropriate ovarian cancer patients for NACT. We obtained three drug-resistant microarrays GSE114206, GSE41499 and GSE33482 from the Gene Expression Omnibus (GEO) database as well as a microarray representing NACT, GSE109934. Bioinformatics analysis revealed the nature of the four potential candidate genes for using in functional enrichment analyses and interaction network construction. The potential associations and possible genetic alterations among the DEGs were summarized using the STRING database in Cytoscape and the cBioPortal visualization tool, respectively. A total of 63 genes were identified as DEGs from GSE109934 representing NACT. From the drug-resistant GSE114206 and GSE41499 datasets, 106 DEGs containing 36 upregulated genes and 70 downregulated genes were selected, and from the drug-resistant GSE114206 and GSE33482 datasets, 406 DEGs with 157 upregulated genes and 249 downregulated genes were selected. The 36 upregulated DEGs and the 70 downregulated genes were notably abundant in the different categories. In KEGG pathway analysis, the 157 upregulated genes and the 249 downregulated genes were concentrated in distinctive signaling pathways. Four potential genes associated with NACT and platinum-based chemoresistance were screened, including nuclear factor of activated T-cells, cytoplasmic 1 (NAFTc1), Kruppel-like factor 4 (KLF4), nuclear receptor subfamily 4 group A member 3 (NR4A3) and hepatocyte growth factor (HGF). Our study showed that the mRNA expression levels of NAFTc1, NR4A3 and HGF were increased in drug-resistant OC cell lines (all P<0.01), whereas the mRNA expression levels of KLF4 were notably lower in the SKOV3-CDDP and HeyA8-CDDP cell line (all P<0.01) but higher in the A2780-CBP cell line. The NAFTc1, KLF4, NR4A3 and HGF genes may be potential therapeutic targets for NACT and platinum-based chemoresistance factors as well as candidate biomarkers in AEOC. Determination of the expression levels of these four genes in tumor tissues before planning NACT treatment or initial surgery would be beneficial for AEOC patients. D.A. Spandidos 2020-09 2020-07-02 /pmc/articles/PMC7388274/ /pubmed/32705213 http://dx.doi.org/10.3892/or.2020.7668 Text en Copyright: © Zhang 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
Zhang, Kai
Wang, Weihan
Chen, Lingli
Liu, Yulin
Hu, Jiali
Guo, Fei
Tian, Wenyan
Wang, Yingmei
Xue, Fengxia
Cross-validation of genes potentially associated with neoadjuvant chemotherapy and platinum-based chemoresistance in epithelial ovarian carcinoma
title Cross-validation of genes potentially associated with neoadjuvant chemotherapy and platinum-based chemoresistance in epithelial ovarian carcinoma
title_full Cross-validation of genes potentially associated with neoadjuvant chemotherapy and platinum-based chemoresistance in epithelial ovarian carcinoma
title_fullStr Cross-validation of genes potentially associated with neoadjuvant chemotherapy and platinum-based chemoresistance in epithelial ovarian carcinoma
title_full_unstemmed Cross-validation of genes potentially associated with neoadjuvant chemotherapy and platinum-based chemoresistance in epithelial ovarian carcinoma
title_short Cross-validation of genes potentially associated with neoadjuvant chemotherapy and platinum-based chemoresistance in epithelial ovarian carcinoma
title_sort cross-validation of genes potentially associated with neoadjuvant chemotherapy and platinum-based chemoresistance in epithelial ovarian carcinoma
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7388274/
https://www.ncbi.nlm.nih.gov/pubmed/32705213
http://dx.doi.org/10.3892/or.2020.7668
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