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Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets

BACKGROUND: Aberrant DNA methylation is often associated with cancers. Thus, screening genes with cancer-associated aberrant DNA methylation is a useful method to identify candidate cancer-causing genes. Aberrant DNA methylation is also genotype dependent. Thus, the selection of genes with genotype-...

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Autores principales: Kinoshita, Ryoichi, Iwadate, Mitsuo, Umeyama, Hideaki, Taguchi, Y-h
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4080267/
https://www.ncbi.nlm.nih.gov/pubmed/24565165
http://dx.doi.org/10.1186/1752-0509-8-S1-S4
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author Kinoshita, Ryoichi
Iwadate, Mitsuo
Umeyama, Hideaki
Taguchi, Y-h
author_facet Kinoshita, Ryoichi
Iwadate, Mitsuo
Umeyama, Hideaki
Taguchi, Y-h
author_sort Kinoshita, Ryoichi
collection PubMed
description BACKGROUND: Aberrant DNA methylation is often associated with cancers. Thus, screening genes with cancer-associated aberrant DNA methylation is a useful method to identify candidate cancer-causing genes. Aberrant DNA methylation is also genotype dependent. Thus, the selection of genes with genotype-specific aberrant DNA methylation in cancers is potentially important for tailor-made medicine. The selected genes are important candidate drug targets. RESULTS: The recently proposed principal component analysis based selection of genes with aberrant DNA methylation was applied to genotype and DNA methylation patterns in squamous cell carcinoma measured using single nucleotide polymorphism (SNP) arrays. SNPs that are frequently found in cancers are usually highly methylated, and the genes that were selected using this method were reported previously to be related to cancers. Thus, genes with genotype-specific DNA methylation patterns will be good therapeutic candidates. The tertiary structures of the proteins encoded by the selected genes were successfully inferred using two profile-based protein structure servers, FAMS and Phyre2. Candidate drugs for three of these proteins, tyrosine kinase receptor (ALK), EGLN3 protein, and NUAK family SNF1-like kinase 1 (NUAK1), were identified by ChooseLD. CONCLUSIONS: We detected genes with genotype-specific DNA methylation in squamous cell carcinoma that are candidate drug targets. Using in silico drug discovery, we successfully identified several candidate drugs for the ALK, EGLN3 and NUAK1 genes that displayed genotype-specific DNA methylation.
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spelling pubmed-40802672014-07-14 Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets Kinoshita, Ryoichi Iwadate, Mitsuo Umeyama, Hideaki Taguchi, Y-h BMC Syst Biol Proceedings BACKGROUND: Aberrant DNA methylation is often associated with cancers. Thus, screening genes with cancer-associated aberrant DNA methylation is a useful method to identify candidate cancer-causing genes. Aberrant DNA methylation is also genotype dependent. Thus, the selection of genes with genotype-specific aberrant DNA methylation in cancers is potentially important for tailor-made medicine. The selected genes are important candidate drug targets. RESULTS: The recently proposed principal component analysis based selection of genes with aberrant DNA methylation was applied to genotype and DNA methylation patterns in squamous cell carcinoma measured using single nucleotide polymorphism (SNP) arrays. SNPs that are frequently found in cancers are usually highly methylated, and the genes that were selected using this method were reported previously to be related to cancers. Thus, genes with genotype-specific DNA methylation patterns will be good therapeutic candidates. The tertiary structures of the proteins encoded by the selected genes were successfully inferred using two profile-based protein structure servers, FAMS and Phyre2. Candidate drugs for three of these proteins, tyrosine kinase receptor (ALK), EGLN3 protein, and NUAK family SNF1-like kinase 1 (NUAK1), were identified by ChooseLD. CONCLUSIONS: We detected genes with genotype-specific DNA methylation in squamous cell carcinoma that are candidate drug targets. Using in silico drug discovery, we successfully identified several candidate drugs for the ALK, EGLN3 and NUAK1 genes that displayed genotype-specific DNA methylation. BioMed Central 2014-01-24 /pmc/articles/PMC4080267/ /pubmed/24565165 http://dx.doi.org/10.1186/1752-0509-8-S1-S4 Text en Copyright © 2014 Kinoshita et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Proceedings
Kinoshita, Ryoichi
Iwadate, Mitsuo
Umeyama, Hideaki
Taguchi, Y-h
Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets
title Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets
title_full Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets
title_fullStr Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets
title_full_unstemmed Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets
title_short Genes associated with genotype-specific DNA methylation in squamous cell carcinoma as candidate drug targets
title_sort genes associated with genotype-specific dna methylation in squamous cell carcinoma as candidate drug targets
topic Proceedings
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4080267/
https://www.ncbi.nlm.nih.gov/pubmed/24565165
http://dx.doi.org/10.1186/1752-0509-8-S1-S4
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