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Identification of DNA methylation prognostic signature of acute myelocytic leukemia
BACKGROUND: The aim of this study is to find the potential survival related DNA methylation signature capable of predicting survival time for acute myelocytic leukemia (AML) patients. METHODS: DNA methylation data were downloaded. DNA methylation signature was identified in the training group, and s...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6014658/ https://www.ncbi.nlm.nih.gov/pubmed/29933410 http://dx.doi.org/10.1371/journal.pone.0199689 |
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author | Zhang, Haiguo Song, Guanli Song, Guanbo Li, Ruolei Gao, Min Ye, Ling Zhang, Chengfang |
author_facet | Zhang, Haiguo Song, Guanli Song, Guanbo Li, Ruolei Gao, Min Ye, Ling Zhang, Chengfang |
author_sort | Zhang, Haiguo |
collection | PubMed |
description | BACKGROUND: The aim of this study is to find the potential survival related DNA methylation signature capable of predicting survival time for acute myelocytic leukemia (AML) patients. METHODS: DNA methylation data were downloaded. DNA methylation signature was identified in the training group, and subsequently validated in an independent validation group. The overall survival of DNA methylation signature was performed. Functional analysis was used to explore the function of corresponding genes of DNA methylation signature. Differentially methylated sites and CpG islands were also identified in poor-risk group. RESULTS: A DNA methylation signature involving 8 DNA methylation sites and 6 genes were identified. Functional analysis showed that protein binding and cytoplasm were the only two enriched Gene Ontology terms. A total of 70 differentially methylated sites and 6 differentially methylated CpG islands were identified in poor-risk group. CONCLUSIONS: The identified survival related DNA methylation signature adds to the prognostic value of AML. |
format | Online Article Text |
id | pubmed-6014658 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-60146582018-07-06 Identification of DNA methylation prognostic signature of acute myelocytic leukemia Zhang, Haiguo Song, Guanli Song, Guanbo Li, Ruolei Gao, Min Ye, Ling Zhang, Chengfang PLoS One Research Article BACKGROUND: The aim of this study is to find the potential survival related DNA methylation signature capable of predicting survival time for acute myelocytic leukemia (AML) patients. METHODS: DNA methylation data were downloaded. DNA methylation signature was identified in the training group, and subsequently validated in an independent validation group. The overall survival of DNA methylation signature was performed. Functional analysis was used to explore the function of corresponding genes of DNA methylation signature. Differentially methylated sites and CpG islands were also identified in poor-risk group. RESULTS: A DNA methylation signature involving 8 DNA methylation sites and 6 genes were identified. Functional analysis showed that protein binding and cytoplasm were the only two enriched Gene Ontology terms. A total of 70 differentially methylated sites and 6 differentially methylated CpG islands were identified in poor-risk group. CONCLUSIONS: The identified survival related DNA methylation signature adds to the prognostic value of AML. Public Library of Science 2018-06-22 /pmc/articles/PMC6014658/ /pubmed/29933410 http://dx.doi.org/10.1371/journal.pone.0199689 Text en © 2018 Zhang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Zhang, Haiguo Song, Guanli Song, Guanbo Li, Ruolei Gao, Min Ye, Ling Zhang, Chengfang Identification of DNA methylation prognostic signature of acute myelocytic leukemia |
title | Identification of DNA methylation prognostic signature of acute myelocytic leukemia |
title_full | Identification of DNA methylation prognostic signature of acute myelocytic leukemia |
title_fullStr | Identification of DNA methylation prognostic signature of acute myelocytic leukemia |
title_full_unstemmed | Identification of DNA methylation prognostic signature of acute myelocytic leukemia |
title_short | Identification of DNA methylation prognostic signature of acute myelocytic leukemia |
title_sort | identification of dna methylation prognostic signature of acute myelocytic leukemia |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6014658/ https://www.ncbi.nlm.nih.gov/pubmed/29933410 http://dx.doi.org/10.1371/journal.pone.0199689 |
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