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Identification of Seven Aberrantly Methylated and Expressed Genes in Adrenocortical Carcinoma

Background: Adrenocortical carcinoma (ACC) is a rare endocrine malignancy with an unfavorable prognosis and limited treatment options. Nevertheless, no clinically applicable molecular markers have been identified for the progression of ACCs. DNA methylation alterations were found to contribute to th...

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Autores principales: Xiao, He, He, Weixiang, Chen, Ping, Xu, Deqiang, Zeng, Guang, Li, Zhuo, Huang, Mingliu, Wang, Xinghuan, DiSanto, Michael E., Zhang, Xinhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6640086/
https://www.ncbi.nlm.nih.gov/pubmed/31354635
http://dx.doi.org/10.3389/fendo.2019.00472
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author Xiao, He
He, Weixiang
Chen, Ping
Xu, Deqiang
Zeng, Guang
Li, Zhuo
Huang, Mingliu
Wang, Xinghuan
DiSanto, Michael E.
Zhang, Xinhua
author_facet Xiao, He
He, Weixiang
Chen, Ping
Xu, Deqiang
Zeng, Guang
Li, Zhuo
Huang, Mingliu
Wang, Xinghuan
DiSanto, Michael E.
Zhang, Xinhua
author_sort Xiao, He
collection PubMed
description Background: Adrenocortical carcinoma (ACC) is a rare endocrine malignancy with an unfavorable prognosis and limited treatment options. Nevertheless, no clinically applicable molecular markers have been identified for the progression of ACCs. DNA methylation alterations were found to contribute to the development of ACC in recent decades. Material and Methods: The aims of the current study was to identify the abnormally methylated differentially expressed genes (DEGs) in ACCs, and to elucidate the mechanistic basis for these changes. Analyses were conducted on gene expression and gene methylation profile datasets to identify the aberrantly methylated DEGs. The DAVID software was used to conduct the analyses of functional enrichment on screened genes. Finally, expression was validated, and the relationship between abnormally methylated DEGs and clinical features was determined via the Oncomine database and The Cancer Genome Atlas (TCGA). To further verify the altered expression and methylation status of our identified genes we also validated these changes at the tissue and cellular levels. Results: We screened and identified 92 differentially expressed genes and 802 abnormally methylated genes. Furthermore, seven aberrantly methylated and dysregulated genes were identified and validated, along with a number of functional enriched pathways. Among these seven genes, the expression or methylation status is significantly correlated with different pathological stages and overall rates of survival. In validation, the expression of seven genes were significantly altered and five genes were hypermethylated in ACC. Conclusions: Our study identified abnormally methylated DEGs and potentially affected pathways in ACCs, from which we could begin to understand the basic molecular mechanisms of these alterations. Moreover, these abnormally methylated genes might serve as therapeutic targets and biomarkers to allow ACC patients to be more precisely diagnosed and effectively treated.
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spelling pubmed-66400862019-07-26 Identification of Seven Aberrantly Methylated and Expressed Genes in Adrenocortical Carcinoma Xiao, He He, Weixiang Chen, Ping Xu, Deqiang Zeng, Guang Li, Zhuo Huang, Mingliu Wang, Xinghuan DiSanto, Michael E. Zhang, Xinhua Front Endocrinol (Lausanne) Endocrinology Background: Adrenocortical carcinoma (ACC) is a rare endocrine malignancy with an unfavorable prognosis and limited treatment options. Nevertheless, no clinically applicable molecular markers have been identified for the progression of ACCs. DNA methylation alterations were found to contribute to the development of ACC in recent decades. Material and Methods: The aims of the current study was to identify the abnormally methylated differentially expressed genes (DEGs) in ACCs, and to elucidate the mechanistic basis for these changes. Analyses were conducted on gene expression and gene methylation profile datasets to identify the aberrantly methylated DEGs. The DAVID software was used to conduct the analyses of functional enrichment on screened genes. Finally, expression was validated, and the relationship between abnormally methylated DEGs and clinical features was determined via the Oncomine database and The Cancer Genome Atlas (TCGA). To further verify the altered expression and methylation status of our identified genes we also validated these changes at the tissue and cellular levels. Results: We screened and identified 92 differentially expressed genes and 802 abnormally methylated genes. Furthermore, seven aberrantly methylated and dysregulated genes were identified and validated, along with a number of functional enriched pathways. Among these seven genes, the expression or methylation status is significantly correlated with different pathological stages and overall rates of survival. In validation, the expression of seven genes were significantly altered and five genes were hypermethylated in ACC. Conclusions: Our study identified abnormally methylated DEGs and potentially affected pathways in ACCs, from which we could begin to understand the basic molecular mechanisms of these alterations. Moreover, these abnormally methylated genes might serve as therapeutic targets and biomarkers to allow ACC patients to be more precisely diagnosed and effectively treated. Frontiers Media S.A. 2019-07-12 /pmc/articles/PMC6640086/ /pubmed/31354635 http://dx.doi.org/10.3389/fendo.2019.00472 Text en Copyright © 2019 Xiao, He, Chen, Xu, Zeng, Li, Huang, Wang, DiSanto and Zhang. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Endocrinology
Xiao, He
He, Weixiang
Chen, Ping
Xu, Deqiang
Zeng, Guang
Li, Zhuo
Huang, Mingliu
Wang, Xinghuan
DiSanto, Michael E.
Zhang, Xinhua
Identification of Seven Aberrantly Methylated and Expressed Genes in Adrenocortical Carcinoma
title Identification of Seven Aberrantly Methylated and Expressed Genes in Adrenocortical Carcinoma
title_full Identification of Seven Aberrantly Methylated and Expressed Genes in Adrenocortical Carcinoma
title_fullStr Identification of Seven Aberrantly Methylated and Expressed Genes in Adrenocortical Carcinoma
title_full_unstemmed Identification of Seven Aberrantly Methylated and Expressed Genes in Adrenocortical Carcinoma
title_short Identification of Seven Aberrantly Methylated and Expressed Genes in Adrenocortical Carcinoma
title_sort identification of seven aberrantly methylated and expressed genes in adrenocortical carcinoma
topic Endocrinology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6640086/
https://www.ncbi.nlm.nih.gov/pubmed/31354635
http://dx.doi.org/10.3389/fendo.2019.00472
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