Open AccessIdentification of DNA methylation prognostic signature of acute myelocytic leukemia
Author(s) -
Haiguo Zhang,
Guodong Song,
Guanbo Song,
Ruolei Li,
Min Gao,
Ling Ye,
Chengfang Zhang
Publication year - 2018
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0199689
Subject(s) - dna methylation , methylation , biology , cpg site , illumina methylation assay , differentially methylated regions , dna , genetics , microbiology and biotechnology , gene , computational biology , gene expression
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.