ArticleOncotarget2017
Detection of prognostic methylation markers by methylC-capture sequencing in acute myeloid leukemia.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Identification of Novel DNA Methylation Prognostic Biomarkers for AML With Normal Cytogenetics.JCO clinical cancer informatics · 2024Article
- DNA methylation landscape reveals GNAS as a decitabine-responsive marker in patients with acute myeloid leukemia.Neoplasia (New York, N.Y.) · 2024Article
- DNA methylation landscape reveals LIN7A as a decitabine-responsive marker in patients with t(8;21) acute myeloid leukemia.Clinical epigenetics · 2023Article
- Inflammatory bone marrow signaling in pediatric acute myeloid leukemia distinguishes patients with poor outcomes.Nature communications · 2022Article
- Single-cell analysis of transcription factor regulatory networks reveals molecular basis for subtype-specific dysregulation in acute myeloid leukemia.Blood science (Baltimore, Md.) · 2022Article
- High Expression of CLEC11A Predicts Favorable Prognosis in Acute Myeloid Leukemia.Frontiers in oncology · 2021Article
- Aberrant DNA Methylation in Acute Myeloid Leukemia and Its Clinical Implications.International journal of molecular sciences · 2019Review
Corrections and comments
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Authors and funding
14 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Clinical and genetic features incompletely predict outcome in acute myeloid leukemia (AML). The value of clinical methylation assays for prognostic markers has not been extensively explored. We assess the prognostic implications of methylC-capture sequencing (MCC-Seq) in patients with de novo AML by integrating DNA methylation and genetic risk stratification. MCC-Seq assessed DNA methylation level in 44 samples. The differentially methylated regions associated with prognostic genetic information were identified. The selected prognostic DNA methylation markers were independently validated in two sets. MCC-Seq exhibited good performance in AML patients. A panel of 12 differentially methylated genes was identified with promoter hyper-differentially methylated regions associated with the outcome. Compared with a low M-value, a high M-value was associated with failure to achieve complete remission (
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Registered trials
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