Evidence map›Paper›PMID 33707228›Full record

ArticleGenome research2021

DNA methylation epitypes highlight underlying developmental and disease pathways in acute myeloid leukemia.

Brian Giacopelli, Min Wang, Ada Cleary, Yue-Zhong Wu, Anna Reister Schultz, Maximilian Schmutz, James S Blachly, Ann-Kathrin Eisfeld, Bethany Mundy-Bosse, Sebastian Vosberg and 10 more

Open access · bronzeAbstract read
In one paragraph

Article in Genome research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

34 citing papers in PubMed, 1 synthesis or guideline pooled it, 49 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

20 authors at 7 institutions in 2 countries.

Brian GiacopelliDivision of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio 43210, USA.
Min WangDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio 43210, USA.
Ada ClearyDivision of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio 43210, USA.
Yue-Zhong WuDivision of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio 43210, USA.
Anna Reister SchultzKnight Cancer Institute, Oregon Health and Science University, Portland, Oregon 97239, USA.
Maximilian SchmutzHematology and Oncology, Medical Faculty, University of Augsburg, 86159 Augsburg, Germany.
James S BlachlyDivision of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio 43210, USA.ORCID 0000-0002-4275-5562
Ann-Kathrin EisfeldDivision of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio 43210, USA.
Bethany Mundy-BosseDivision of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio 43210, USA.
Sebastian VosbergDepartment of Medicine III, University Hospital, LMU Munich, 80539 Munich, Germany.
Philipp A GreifDepartment of Medicine III, University Hospital, LMU Munich, 80539 Munich, Germany.
Rainer ClausDepartment of Medicine II, Stem Cell Transplantation Unit, Klinikum Augsburg, Ludwig-Maximilians University Munich, 86156 Munich, Germany.
Lars BullingerDepartment of Hematology, Oncology and Tumorimmunology, Charité-Universitätsmedizin, 13353 Berlin, Germany.
Ramiro GarzonDivision of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio 43210, USA.
Kevin R CoombesDepartment of Biomedical Informatics, The Ohio State University, Columbus, Ohio 43210, USA.
Clara D BloomfieldDivision of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio 43210, USA.
Brian J DrukerKnight Cancer Institute, Oregon Health and Science University, Portland, Oregon 97239, USA.
Jeffrey W TynerKnight Cancer Institute, Oregon Health and Science University, Portland, Oregon 97239, USA.
John C ByrdDivision of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio 43210, USA.
Christopher C OakesDivision of Hematology, Department of Internal Medicine, The Ohio State University, Columbus, Ohio 43210, USA.
The Ohio State University · USOregon Health & Science University · USCenter for Environmental Health · USCharité - Universitätsmedizin Berlin · DEGerman Cancer Research Center · DEUniversity Hospital Augsburg · DEUniversity of Augsburg · DE

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
Tumor Intrinsic and Microenvironmental Mechanisms Driving Drug Combination Efficacy and Resistance in AMLU54CA224019 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Jeffrey Wallace Tyner · 2017 to 2026
$13.9M
Functional Genomic Discovery of Pathway Targeted and Immune Modulatory Therapeutic Combinations in Hematologic MalignanciesU01CA217862 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI DRUKER, BRIAN J, TYNER, JEFFREY WALLACE · 2017 to 2021
$5.3M
NCI NIH HHS P30 CA016058NCI NIH HHS U01 CA217862NCI NIH HHS U54 CA224019
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a molecularly complex disease characterized by heterogeneous tumor genetic profiles and involving numerous pathogenic mechanisms and pathways. Integration of molecular data types across multiple patient cohorts may advance current genetic approaches for improved subclassification and understanding of the biology of the disease. Here, we analyzed genome-wide DNA methylation in 649 AML patients using Illumina arrays and identified a configuration of 13 subtypes (termed "epitypes") using unbiased clustering. Integration of genetic data revealed that most epitypes were associated with a certain recurrent mutation (or combination) in a majority of patients, yet other epitypes were largely independent. Epitypes showed developmental blockage at discrete stages of myeloid differentiation, revealing epitypes that retain arrested hematopoietic stem-cell-like phenotypes. Detailed analyses of DNA methylation patterns identified unique patterns of aberrant hyper- and hypomethylation among epitypes, with variable involvement of transcription factors influencing promoter, enhancer, and repressed regions. Patients in epitypes with stem-cell-like methylation features showed inferior overall survival along with up-regulated stem cell gene expression signatures. We further identified a DNA methylation signature involving STAT motifs associated with

Indexed as

DNA MethylationLeukemia, Myeloid, AcuteHumansMutationPromoter Regions, Genetic

Identifiers

PMID33707228
PMCPMC8092005
OpenAlexW3134965298

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.