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Individualized analysis reveals CpG sites with methylation aberrations in almost all lung adenocarcinoma tissues
BACKGROUND: Due to the heterogeneity of cancer, identifying differentially methylated (DM) CpG sites between a set of cancer samples and a set of normal samples cannot tell us which patients have methylation aberrations in a particular DM CpG site. METHODS: We firstly showed that the relative methyl...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299650/ https://www.ncbi.nlm.nih.gov/pubmed/28178989 http://dx.doi.org/10.1186/s12967-017-1122-y |
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author | Yan, Haidan Guan, Qingzhou He, Jun Lin, Yunqing Zhang, Juan Li, Hongdong Liu, Huaping Gu, Yunyan Guo, Zheng He, Fei |
author_facet | Yan, Haidan Guan, Qingzhou He, Jun Lin, Yunqing Zhang, Juan Li, Hongdong Liu, Huaping Gu, Yunyan Guo, Zheng He, Fei |
author_sort | Yan, Haidan |
collection | PubMed |
description | BACKGROUND: Due to the heterogeneity of cancer, identifying differentially methylated (DM) CpG sites between a set of cancer samples and a set of normal samples cannot tell us which patients have methylation aberrations in a particular DM CpG site. METHODS: We firstly showed that the relative methylation-level orderings (RMOs) of CpG sites within individual normal lung tissues are highly stable but widely disrupted in lung adenocarcinoma tissues. This finding provides the basis of using the RankComp algorithm, previously developed for differential gene expression analysis at the individual level, to identify DM CpG sites in each cancer tissue compared with its own normal state. Briefly, through comparing with the highly stable normal RMOs predetermined in a large collection of samples for normal lung tissues, the algorithm finds those CpG sites whose hyper- or hypo-methylations may lead to the disrupted RMOs of CpG site pairs within a disease sample based on Fisher’s exact test. RESULTS: Evaluated in 59 lung adenocarcinoma tissues with paired adjacent normal tissues, RankComp reached an average precision of 94.26% for individual-level DM CpG sites. Then, after identifying DM CpG sites in each of the 539 lung adenocarcinoma samples from TCGA, we found five and 44 CpG sites hypermethylated and hypomethylated in above 90% of the disease samples, respectively. These findings were validated in 140 publicly available and eight additionally measured paired cancer-normal samples. Gene expression analysis revealed that four of the five genes, HOXA9, TAL1, ATP8A2, ENG and SPARCL1, each harboring one of the five frequently hypermethylated CpG sites within its promoters, were also frequently down-regulated in lung adenocarcinoma. CONCLUSIONS: The common DNA methylation aberrations in lung adenocarcinoma tissues may be important for lung adenocarcinoma diagnosis and therapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-017-1122-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5299650 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-52996502017-02-13 Individualized analysis reveals CpG sites with methylation aberrations in almost all lung adenocarcinoma tissues Yan, Haidan Guan, Qingzhou He, Jun Lin, Yunqing Zhang, Juan Li, Hongdong Liu, Huaping Gu, Yunyan Guo, Zheng He, Fei J Transl Med Research BACKGROUND: Due to the heterogeneity of cancer, identifying differentially methylated (DM) CpG sites between a set of cancer samples and a set of normal samples cannot tell us which patients have methylation aberrations in a particular DM CpG site. METHODS: We firstly showed that the relative methylation-level orderings (RMOs) of CpG sites within individual normal lung tissues are highly stable but widely disrupted in lung adenocarcinoma tissues. This finding provides the basis of using the RankComp algorithm, previously developed for differential gene expression analysis at the individual level, to identify DM CpG sites in each cancer tissue compared with its own normal state. Briefly, through comparing with the highly stable normal RMOs predetermined in a large collection of samples for normal lung tissues, the algorithm finds those CpG sites whose hyper- or hypo-methylations may lead to the disrupted RMOs of CpG site pairs within a disease sample based on Fisher’s exact test. RESULTS: Evaluated in 59 lung adenocarcinoma tissues with paired adjacent normal tissues, RankComp reached an average precision of 94.26% for individual-level DM CpG sites. Then, after identifying DM CpG sites in each of the 539 lung adenocarcinoma samples from TCGA, we found five and 44 CpG sites hypermethylated and hypomethylated in above 90% of the disease samples, respectively. These findings were validated in 140 publicly available and eight additionally measured paired cancer-normal samples. Gene expression analysis revealed that four of the five genes, HOXA9, TAL1, ATP8A2, ENG and SPARCL1, each harboring one of the five frequently hypermethylated CpG sites within its promoters, were also frequently down-regulated in lung adenocarcinoma. CONCLUSIONS: The common DNA methylation aberrations in lung adenocarcinoma tissues may be important for lung adenocarcinoma diagnosis and therapy. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12967-017-1122-y) contains supplementary material, which is available to authorized users. BioMed Central 2017-02-08 /pmc/articles/PMC5299650/ /pubmed/28178989 http://dx.doi.org/10.1186/s12967-017-1122-y Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 | Research Yan, Haidan Guan, Qingzhou He, Jun Lin, Yunqing Zhang, Juan Li, Hongdong Liu, Huaping Gu, Yunyan Guo, Zheng He, Fei Individualized analysis reveals CpG sites with methylation aberrations in almost all lung adenocarcinoma tissues |
title | Individualized analysis reveals CpG sites with methylation aberrations in almost all lung adenocarcinoma tissues |
title_full | Individualized analysis reveals CpG sites with methylation aberrations in almost all lung adenocarcinoma tissues |
title_fullStr | Individualized analysis reveals CpG sites with methylation aberrations in almost all lung adenocarcinoma tissues |
title_full_unstemmed | Individualized analysis reveals CpG sites with methylation aberrations in almost all lung adenocarcinoma tissues |
title_short | Individualized analysis reveals CpG sites with methylation aberrations in almost all lung adenocarcinoma tissues |
title_sort | individualized analysis reveals cpg sites with methylation aberrations in almost all lung adenocarcinoma tissues |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5299650/ https://www.ncbi.nlm.nih.gov/pubmed/28178989 http://dx.doi.org/10.1186/s12967-017-1122-y |
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