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Systems biology approach to stage-wise characterization of epigenetic genes in lung adenocarcinoma

BACKGROUND: Epigenetics refers to the reversible functional modifications of the genome that do not correlate to changes in the DNA sequence. The aim of this study is to understand DNA methylation patterns across different stages of lung adenocarcinoma (LUAD). RESULTS: Our study identified 72, 93 an...

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Autores principales: Pradhan, Meeta P, Desai, Akshay, Palakal, Mathew J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3882327/
https://www.ncbi.nlm.nih.gov/pubmed/24369052
http://dx.doi.org/10.1186/1752-0509-7-141
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author Pradhan, Meeta P
Desai, Akshay
Palakal, Mathew J
author_facet Pradhan, Meeta P
Desai, Akshay
Palakal, Mathew J
author_sort Pradhan, Meeta P
collection PubMed
description BACKGROUND: Epigenetics refers to the reversible functional modifications of the genome that do not correlate to changes in the DNA sequence. The aim of this study is to understand DNA methylation patterns across different stages of lung adenocarcinoma (LUAD). RESULTS: Our study identified 72, 93 and 170 significant DNA methylated genes in Stages I, II and III respectively. A set of common 34 significant DNA methylated genes located in the promoter section of the true CpG islands were found across stages, and these were: HOX genes, FOXG1, GRIK3, HAND2, PRKCB, etc. Of the total significant DNA methylated genes, 65 correlated with transcription function. The epigenetic analysis identified the following novel genes across all stages: PTGDR, TLX3, and POU4F2. The stage-wise analysis observed the appearance of NEUROG1 gene in Stage I and its re-appearance in Stage III. The analysis showed similar epigenetic pattern across Stage I and Stage III. Pathway analysis revealed important signaling and metabolic pathways of LUAD to correlate with epigenetics. Epigenetic subnetwork analysis identified a set of seven conserved genes across all stages: UBC, KRAS, PIK3CA, PIK3R3, RAF1, BRAF, and RAP1A. A detailed literature analysis elucidated epigenetic genes like FOXG1, HLA-G, and NKX6-2 to be known as prognostic targets. CONCLUSION: Integrating epigenetic information for genes with expression data can be useful for comprehending in-depth disease mechanism and for the ultimate goal of better target identification.
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spelling pubmed-38823272014-01-08 Systems biology approach to stage-wise characterization of epigenetic genes in lung adenocarcinoma Pradhan, Meeta P Desai, Akshay Palakal, Mathew J BMC Syst Biol Research Article BACKGROUND: Epigenetics refers to the reversible functional modifications of the genome that do not correlate to changes in the DNA sequence. The aim of this study is to understand DNA methylation patterns across different stages of lung adenocarcinoma (LUAD). RESULTS: Our study identified 72, 93 and 170 significant DNA methylated genes in Stages I, II and III respectively. A set of common 34 significant DNA methylated genes located in the promoter section of the true CpG islands were found across stages, and these were: HOX genes, FOXG1, GRIK3, HAND2, PRKCB, etc. Of the total significant DNA methylated genes, 65 correlated with transcription function. The epigenetic analysis identified the following novel genes across all stages: PTGDR, TLX3, and POU4F2. The stage-wise analysis observed the appearance of NEUROG1 gene in Stage I and its re-appearance in Stage III. The analysis showed similar epigenetic pattern across Stage I and Stage III. Pathway analysis revealed important signaling and metabolic pathways of LUAD to correlate with epigenetics. Epigenetic subnetwork analysis identified a set of seven conserved genes across all stages: UBC, KRAS, PIK3CA, PIK3R3, RAF1, BRAF, and RAP1A. A detailed literature analysis elucidated epigenetic genes like FOXG1, HLA-G, and NKX6-2 to be known as prognostic targets. CONCLUSION: Integrating epigenetic information for genes with expression data can be useful for comprehending in-depth disease mechanism and for the ultimate goal of better target identification. BioMed Central 2013-12-26 /pmc/articles/PMC3882327/ /pubmed/24369052 http://dx.doi.org/10.1186/1752-0509-7-141 Text en Copyright © 2013 Desai 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.
spellingShingle Research Article
Pradhan, Meeta P
Desai, Akshay
Palakal, Mathew J
Systems biology approach to stage-wise characterization of epigenetic genes in lung adenocarcinoma
title Systems biology approach to stage-wise characterization of epigenetic genes in lung adenocarcinoma
title_full Systems biology approach to stage-wise characterization of epigenetic genes in lung adenocarcinoma
title_fullStr Systems biology approach to stage-wise characterization of epigenetic genes in lung adenocarcinoma
title_full_unstemmed Systems biology approach to stage-wise characterization of epigenetic genes in lung adenocarcinoma
title_short Systems biology approach to stage-wise characterization of epigenetic genes in lung adenocarcinoma
title_sort systems biology approach to stage-wise characterization of epigenetic genes in lung adenocarcinoma
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3882327/
https://www.ncbi.nlm.nih.gov/pubmed/24369052
http://dx.doi.org/10.1186/1752-0509-7-141
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