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A panel of DNA methylation signature from peripheral blood may predict colorectal cancer susceptibility
BACKGROUND: Differential DNA methylation panel derived from peripheral blood could serve as biomarkers of CRC susceptibility. However, most of the previous studies utilized post-diagnostic blood DNA which may be markers of disease rather than susceptibility. In addition, only a few studies have eval...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382833/ https://www.ncbi.nlm.nih.gov/pubmed/32711505 http://dx.doi.org/10.1186/s12885-020-07194-5 |
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author | Onwuka, Justina Ucheojor Li, Dapeng Liu, Yupeng Huang, Hao Xu, Jing Liu, Ying Zhang, Yuanyuan Zhao, Yashuang |
author_facet | Onwuka, Justina Ucheojor Li, Dapeng Liu, Yupeng Huang, Hao Xu, Jing Liu, Ying Zhang, Yuanyuan Zhao, Yashuang |
author_sort | Onwuka, Justina Ucheojor |
collection | PubMed |
description | BACKGROUND: Differential DNA methylation panel derived from peripheral blood could serve as biomarkers of CRC susceptibility. However, most of the previous studies utilized post-diagnostic blood DNA which may be markers of disease rather than susceptibility. In addition, only a few studies have evaluated the predictive potential of differential DNA methylation in CRC in a prospective cohort and on a genome-wide basis. The aim of this study was to identify a potential panel of DNA methylation biomarkers in peripheral blood that is associated with CRC risk and therefore serve as epigenetic biomarkers of disease susceptibility. METHODS: DNA methylation profile of a nested case-control study with 166 CRC and 424 healthy normal subjects were obtained from the Gene Expression Omnibus (GEO) database. The differentially methylated markers were identified by moderated t-statistics. The DNA methylation panel was constructed by stepwise logistic regression and the least absolute shrinkage and selection operator in the training dataset. A methylation risk score (MRS) model was constructed and the association between MRS and CRC risk assessed. RESULTS: We identified 48 differentially methylated CpGs sites, of which 33 were hypomethylated. Of these, sixteen-CpG based MRS that was associated with CRC risk (OR = 2.68, 95% CI: 2.13, 3.38, P < 0.0001) was constructed. This association is confirmed in the testing dataset (OR = 2.02, 95% CI: 1.48, 2.74, P < 0.0001) and persisted in both males and females, younger and older subjects, short and long time-to-diagnosis. The MRS also predicted CRC with AUC 0.82 (95% CI: 0.76, 0.88), indicating high accuracy. CONCLUSIONS: Our study has identified a novel DNA methylation panel that is associated with CRC and could, if validated be useful for the prediction of CRC risk in the future. |
format | Online Article Text |
id | pubmed-7382833 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-73828332020-07-28 A panel of DNA methylation signature from peripheral blood may predict colorectal cancer susceptibility Onwuka, Justina Ucheojor Li, Dapeng Liu, Yupeng Huang, Hao Xu, Jing Liu, Ying Zhang, Yuanyuan Zhao, Yashuang BMC Cancer Research Article BACKGROUND: Differential DNA methylation panel derived from peripheral blood could serve as biomarkers of CRC susceptibility. However, most of the previous studies utilized post-diagnostic blood DNA which may be markers of disease rather than susceptibility. In addition, only a few studies have evaluated the predictive potential of differential DNA methylation in CRC in a prospective cohort and on a genome-wide basis. The aim of this study was to identify a potential panel of DNA methylation biomarkers in peripheral blood that is associated with CRC risk and therefore serve as epigenetic biomarkers of disease susceptibility. METHODS: DNA methylation profile of a nested case-control study with 166 CRC and 424 healthy normal subjects were obtained from the Gene Expression Omnibus (GEO) database. The differentially methylated markers were identified by moderated t-statistics. The DNA methylation panel was constructed by stepwise logistic regression and the least absolute shrinkage and selection operator in the training dataset. A methylation risk score (MRS) model was constructed and the association between MRS and CRC risk assessed. RESULTS: We identified 48 differentially methylated CpGs sites, of which 33 were hypomethylated. Of these, sixteen-CpG based MRS that was associated with CRC risk (OR = 2.68, 95% CI: 2.13, 3.38, P < 0.0001) was constructed. This association is confirmed in the testing dataset (OR = 2.02, 95% CI: 1.48, 2.74, P < 0.0001) and persisted in both males and females, younger and older subjects, short and long time-to-diagnosis. The MRS also predicted CRC with AUC 0.82 (95% CI: 0.76, 0.88), indicating high accuracy. CONCLUSIONS: Our study has identified a novel DNA methylation panel that is associated with CRC and could, if validated be useful for the prediction of CRC risk in the future. BioMed Central 2020-07-25 /pmc/articles/PMC7382833/ /pubmed/32711505 http://dx.doi.org/10.1186/s12885-020-07194-5 Text en © The Author(s) 2020 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. 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 in a credit line to the data. |
spellingShingle | Research Article Onwuka, Justina Ucheojor Li, Dapeng Liu, Yupeng Huang, Hao Xu, Jing Liu, Ying Zhang, Yuanyuan Zhao, Yashuang A panel of DNA methylation signature from peripheral blood may predict colorectal cancer susceptibility |
title | A panel of DNA methylation signature from peripheral blood may predict colorectal cancer susceptibility |
title_full | A panel of DNA methylation signature from peripheral blood may predict colorectal cancer susceptibility |
title_fullStr | A panel of DNA methylation signature from peripheral blood may predict colorectal cancer susceptibility |
title_full_unstemmed | A panel of DNA methylation signature from peripheral blood may predict colorectal cancer susceptibility |
title_short | A panel of DNA methylation signature from peripheral blood may predict colorectal cancer susceptibility |
title_sort | panel of dna methylation signature from peripheral blood may predict colorectal cancer susceptibility |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7382833/ https://www.ncbi.nlm.nih.gov/pubmed/32711505 http://dx.doi.org/10.1186/s12885-020-07194-5 |
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