AI Article Synopsis
- Acute myeloid leukemia (AML) is a complex cancer that becomes more common with age and often leads to a poor prognosis.
- This study investigates the role of abnormal DNA methylation in AML by analyzing data from the Gene Expression Database (GEO) and identifying a significant methylation difference between cancerous cells and normal stem cells.
- The research utilized bioinformatics to discover potential prognostic biomarkers, ultimately identifying five independent prognostic indicators and enhancing understanding of the molecular mechanisms of methylation in AML.
Article Abstract
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.
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| http://dx.doi.org/10.1002/jcb.27336 | DOI Listing |
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