Dysfunctions associated with methylation, microRNA expression and gene expression in lung cancer.

Integrating high-throughput data obtained from different molecular levels is essential for understanding the mechanisms of complex diseases such as cancer. In this study, we integrated the methylation, microRNA and mRNA data from lung cancer tissues and normal lung tissues using functional gene sets...

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Autores principales:	Tao Huang, Min Jiang, Xiangyin Kong, Yu-Dong Cai
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2012
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/c74ab6361a6640f6b3b84b51222840b1
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spelling	oai:doaj.org-article:c74ab6361a6640f6b3b84b51222840b12021-11-18T07:08:21ZDysfunctions associated with methylation, microRNA expression and gene expression in lung cancer.1932-620310.1371/journal.pone.0043441https://doaj.org/article/c74ab6361a6640f6b3b84b51222840b12012-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22912875/?tool=EBIhttps://doaj.org/toc/1932-6203Integrating high-throughput data obtained from different molecular levels is essential for understanding the mechanisms of complex diseases such as cancer. In this study, we integrated the methylation, microRNA and mRNA data from lung cancer tissues and normal lung tissues using functional gene sets. For each Gene Ontology (GO) term, three sets were defined: the methylation set, the microRNA set and the mRNA set. The discriminating ability of each gene set was represented by the Matthews correlation coefficient (MCC), as evaluated by leave-one-out cross-validation (LOOCV). Next, the MCCs in the methylation sets, the microRNA sets and the mRNA sets were ranked. By comparing the MCC ranks of methylation, microRNA and mRNA for each GO term, we classified the GO sets into six groups and identified the dysfunctional methylation, microRNA and mRNA gene sets in lung cancer. Our results provide a systematic view of the functional alterations during tumorigenesis that may help to elucidate the mechanisms of lung cancer and lead to improved treatments for patients.Tao HuangMin JiangXiangyin KongYu-Dong CaiPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 7, Iss 8, p e43441 (2012)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Tao Huang Min Jiang Xiangyin Kong Yu-Dong Cai Dysfunctions associated with methylation, microRNA expression and gene expression in lung cancer.
description	Integrating high-throughput data obtained from different molecular levels is essential for understanding the mechanisms of complex diseases such as cancer. In this study, we integrated the methylation, microRNA and mRNA data from lung cancer tissues and normal lung tissues using functional gene sets. For each Gene Ontology (GO) term, three sets were defined: the methylation set, the microRNA set and the mRNA set. The discriminating ability of each gene set was represented by the Matthews correlation coefficient (MCC), as evaluated by leave-one-out cross-validation (LOOCV). Next, the MCCs in the methylation sets, the microRNA sets and the mRNA sets were ranked. By comparing the MCC ranks of methylation, microRNA and mRNA for each GO term, we classified the GO sets into six groups and identified the dysfunctional methylation, microRNA and mRNA gene sets in lung cancer. Our results provide a systematic view of the functional alterations during tumorigenesis that may help to elucidate the mechanisms of lung cancer and lead to improved treatments for patients.
format	article
author	Tao Huang Min Jiang Xiangyin Kong Yu-Dong Cai
author_facet	Tao Huang Min Jiang Xiangyin Kong Yu-Dong Cai
author_sort	Tao Huang
title	Dysfunctions associated with methylation, microRNA expression and gene expression in lung cancer.
title_short	Dysfunctions associated with methylation, microRNA expression and gene expression in lung cancer.
title_full	Dysfunctions associated with methylation, microRNA expression and gene expression in lung cancer.
title_fullStr	Dysfunctions associated with methylation, microRNA expression and gene expression in lung cancer.
title_full_unstemmed	Dysfunctions associated with methylation, microRNA expression and gene expression in lung cancer.
title_sort	dysfunctions associated with methylation, microrna expression and gene expression in lung cancer.
publisher	Public Library of Science (PLoS)
publishDate	2012
url	https://doaj.org/article/c74ab6361a6640f6b3b84b51222840b1
work_keys_str_mv	AT taohuang dysfunctionsassociatedwithmethylationmicrornaexpressionandgeneexpressioninlungcancer AT minjiang dysfunctionsassociatedwithmethylationmicrornaexpressionandgeneexpressioninlungcancer AT xiangyinkong dysfunctionsassociatedwithmethylationmicrornaexpressionandgeneexpressioninlungcancer AT yudongcai dysfunctionsassociatedwithmethylationmicrornaexpressionandgeneexpressioninlungcancer
_version_	1718423881318924288

Dysfunctions associated with methylation, microRNA expression and gene expression in lung cancer.

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