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Big data-based identification of methylated genes associated with drug resistance and prognosis in ovarian cancer

It is imperative to further the understanding of the drug resistance mechanisms of ovarian cancer (OC) and to identify useful biological markers for prognosis prediction. Cormine, cBioportal, and The Cancer Genome Atlas databases were used to search microarray data of gene methylation related to OC,...

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Autores principales: Yan, Bingbing, Xiong, Chunqiu, Huang, Feifeng, Zhang, Mingming, Mo, Yan, Bai, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337574/
https://www.ncbi.nlm.nih.gov/pubmed/32629664
http://dx.doi.org/10.1097/MD.0000000000020802
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author Yan, Bingbing
Xiong, Chunqiu
Huang, Feifeng
Zhang, Mingming
Mo, Yan
Bai, Hua
author_facet Yan, Bingbing
Xiong, Chunqiu
Huang, Feifeng
Zhang, Mingming
Mo, Yan
Bai, Hua
author_sort Yan, Bingbing
collection PubMed
description It is imperative to further the understanding of the drug resistance mechanisms of ovarian cancer (OC) and to identify useful biological markers for prognosis prediction. Cormine, cBioportal, and The Cancer Genome Atlas databases were used to search microarray data of gene methylation related to OC, drug resistance in OC, and prognosis, and to analyze methylated genes potentially inducing the drug resistance in OC. Fifty-five DNA-methylated genes significantly associated with drug resistance in OC were screened, and the regulatory mechanisms underlying changes in methylation levels of these genes were systematically integrated. Enrichment and annotation of biological processes indicated that most of the above DNA-methylated genes were significantly associated with cell proliferation and cell cycle. In addition, pathway enrichment demonstrated that the above DNA-methylated genes were significantly associated with PI3K-AKT and P53 signaling pathways. Among the 55 genes, 4 were significantly associated with OC prognostic disease-free survival, namely bromodomain containing 4, PDZ domain containing 1 (PDZK1), phosphatase and tensin homolog, and TNF receptor superfamily member 10c; 5 were significantly related to overall survival, namely bromodomain containing 4, PDZK1, PIK3C2B, Rh associated glycoprotein, and DYRK; among them, the degree of methylation of TNF receptor superfamily member 10c, PDZK1, and Rh associated glycoprotein genes was significantly correlated with mRNA expression. Furthermore, PDZK1, Rh associated glycoprotein, and TNF receptor superfamily member 10c genes showed significant hypomethylation in drug-resistance tissues of OC, and their mRNAs had significantly high expression. The association between the methylation of these 55 genes and OC and drug resistance in OC, in addition to bioinformatics analyses clarify the important mechanisms of gene methylation in the development, progression, and drug resistance of OC.
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spelling pubmed-73375742020-07-14 Big data-based identification of methylated genes associated with drug resistance and prognosis in ovarian cancer Yan, Bingbing Xiong, Chunqiu Huang, Feifeng Zhang, Mingming Mo, Yan Bai, Hua Medicine (Baltimore) 5750 It is imperative to further the understanding of the drug resistance mechanisms of ovarian cancer (OC) and to identify useful biological markers for prognosis prediction. Cormine, cBioportal, and The Cancer Genome Atlas databases were used to search microarray data of gene methylation related to OC, drug resistance in OC, and prognosis, and to analyze methylated genes potentially inducing the drug resistance in OC. Fifty-five DNA-methylated genes significantly associated with drug resistance in OC were screened, and the regulatory mechanisms underlying changes in methylation levels of these genes were systematically integrated. Enrichment and annotation of biological processes indicated that most of the above DNA-methylated genes were significantly associated with cell proliferation and cell cycle. In addition, pathway enrichment demonstrated that the above DNA-methylated genes were significantly associated with PI3K-AKT and P53 signaling pathways. Among the 55 genes, 4 were significantly associated with OC prognostic disease-free survival, namely bromodomain containing 4, PDZ domain containing 1 (PDZK1), phosphatase and tensin homolog, and TNF receptor superfamily member 10c; 5 were significantly related to overall survival, namely bromodomain containing 4, PDZK1, PIK3C2B, Rh associated glycoprotein, and DYRK; among them, the degree of methylation of TNF receptor superfamily member 10c, PDZK1, and Rh associated glycoprotein genes was significantly correlated with mRNA expression. Furthermore, PDZK1, Rh associated glycoprotein, and TNF receptor superfamily member 10c genes showed significant hypomethylation in drug-resistance tissues of OC, and their mRNAs had significantly high expression. The association between the methylation of these 55 genes and OC and drug resistance in OC, in addition to bioinformatics analyses clarify the important mechanisms of gene methylation in the development, progression, and drug resistance of OC. Wolters Kluwer Health 2020-07-02 /pmc/articles/PMC7337574/ /pubmed/32629664 http://dx.doi.org/10.1097/MD.0000000000020802 Text en Copyright © 2020 the Author(s). Published by Wolters Kluwer Health, Inc. http://creativecommons.org/licenses/by-nc/4.0 This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0
spellingShingle 5750
Yan, Bingbing
Xiong, Chunqiu
Huang, Feifeng
Zhang, Mingming
Mo, Yan
Bai, Hua
Big data-based identification of methylated genes associated with drug resistance and prognosis in ovarian cancer
title Big data-based identification of methylated genes associated with drug resistance and prognosis in ovarian cancer
title_full Big data-based identification of methylated genes associated with drug resistance and prognosis in ovarian cancer
title_fullStr Big data-based identification of methylated genes associated with drug resistance and prognosis in ovarian cancer
title_full_unstemmed Big data-based identification of methylated genes associated with drug resistance and prognosis in ovarian cancer
title_short Big data-based identification of methylated genes associated with drug resistance and prognosis in ovarian cancer
title_sort big data-based identification of methylated genes associated with drug resistance and prognosis in ovarian cancer
topic 5750
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7337574/
https://www.ncbi.nlm.nih.gov/pubmed/32629664
http://dx.doi.org/10.1097/MD.0000000000020802
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