ArticleCancer medicine2020
Genome-wide DNA methylome analysis reveals methylation subtypes with different clinical outcomes for acute myeloid leukemia patients.
Article in Cancer medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 9 citations in OpenAlex.
- Liquid Biopsy and Epigenetic Signatures in AML, ALL, and CNS Tumors: Diagnostic and Monitoring Perspectives.International journal of molecular sciences · 2025Review
- Epigenomic insights and computational advances in hematologic malignancies.Molecular cytogenetics · 2025Review
- Identification and validation of pyroptosis patterns in AML via comprehensive bioinformatics analysis.Discover oncology · 2025Article
- Identification of Novel DNA Methylation Prognostic Biomarkers for AML With Normal Cytogenetics.JCO clinical cancer informatics · 2024Article
- Development of a prognostic model for personalized prediction of colon adenocarcinoma (COAD) patient outcomes using methylation-driven genes.Journal of applied genetics · 2023Article
- Targeting DNA Methylation in Leukemia, Myelodysplastic Syndrome, and Lymphoma: A Potential Diagnostic, Prognostic, and Therapeutic Tool.International journal of molecular sciences · 2022Review
- Prognostic and therapeutic prediction by screening signature combinations from transcriptome-methylome interactions in oral squamous cell carcinoma.Scientific reports · 2022Article
- Genome-wide DNA methylome analysis reveals methylation subtypes with different clinical outcomes for acute myeloid leukemia patients.Cancer medicine · 2020Article
- Integrative Analysis of Multi-Omics Identified the Prognostic Biomarkers in Acute Myelogenous Leukemia.Frontiers in oncology · 2020Article
Corrections and comments
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Leukemia is the second common blood cancer after lymphoma, and its incidence rate has an increasing trend in recent years. Acute myeloid leukemia (AML) is one of the prevalent forms of leukemia. Although previous studies have investigated the methylation profile for AML patients, the AML methylation subtypes based on the genome-wide methylome are still unclear. In the present study, we identified three methylation subtypes for AML samples based on the methylation profiles at CGI, CGI shore, CGI shelf, and opensea genomic contexts. Analyzing the molecular characteristics and clinical factors of the three subtypes revealed different methylation patterns and clinical outcomes between them. Further analysis revealed subtype dependent marker genes and their promoter CpG sites with regulatory function. Finally, we found that combining the AML patient age and methylation pattern brought better clinical outcome classification. In conclusion, we identified AML methylation subtypes and their marker genes, these results may help to excavate potential targets for clinical therapy and the development of precision medicine for AML patients.
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Registered trials
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