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Developing DNA methylation‐based prognostic biomarkers of acute myeloid leukemia
Author(s) -
Gao Chundi,
Zhuang Jing,
Zhou Chao,
Liu Lijuan,
Liu Cun,
Li Huayao,
Zhao Minzhang,
Liu Gongxi,
Sun Changgang
Publication year - 2018
Publication title -
journal of cellular biochemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.028
H-Index - 165
eISSN - 1097-4644
pISSN - 0730-2312
DOI - 10.1002/jcb.27336
Subject(s) - myeloid leukemia , dna methylation , methylation , cancer research , medicine , leukemia , computational biology , dna , biology , immunology , genetics , gene , gene expression
Acute myeloid leukemia (AML) is a heterogeneous clonal neoplasm characterized by complex genomic alterations. The incidence of AML increases with age, and most cases experience serious illness and poor prognosis. To explore the relationship between abnormal DNA methylation and the occurrence and development of AML based on the Gene Expression Database (GEO), this study extracted data related to methylation in AML and identified a methylated CpG site that was significantly different in terms of expression and distribution between the primary cells of AML patients, and hematopoietic stem/progenitor cells from normal bone marrow. To further investigate the differences caused by the dysfunction of methylation sites, bioinformatics analysis was used to screen methylation‐related biomarkers, and the potential prognostic genes were selected by univariate and multivariate Cox proportional hazards regressions. Finally, five independent prognostic indicators were identified. In addition, these results provide new insight into the molecular mechanisms of methylation.