Evidence map›Paper›PMID 32938585›Full record

ArticleCancer discovery2020

Somatic Mutations Drive Specific, but Reversible, Epigenetic Heterogeneity States in AML.

Sheng Li, Xiaowen Chen, Jiahui Wang, Cem Meydan, Jacob L Glass, Alan H Shih, Ruud Delwel, Ross L Levine, Christopher E Mason, Ari M Melnick

Open access · greenAbstract read
In one paragraph

Article in Cancer discovery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.5field-weighted citation impact, top 6% of its field
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

21 citing papers in PubMed, 38 citations in OpenAlex.

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  16. Epialleles and epiallelic heterogeneity in hematological malignancies.Medical oncology (Northwood, London, England) · 2022
    Review
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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

10 authors at 5 institutions in 2 countries.

Sheng Li *The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut. amm2014@med.cornell.edu sheng.li@jax.org.ORCID https://orcid.org/0000-0002-9543-6274
Xiaowen Chen *The Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
Jiahui WangThe Jackson Laboratory for Genomic Medicine, Farmington, Connecticut.
Cem MeydanDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, New York.ORCID https://orcid.org/0000-0002-0663-6216
Jacob L GlassLeukemia Service, Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, New York.
Alan H ShihCenter for Hematologic Malignancies, Memorial Sloan Kettering Cancer Center, New York, New York.
Ruud DelwelDepartment of Hematology, Erasmus University Medical Center and Oncode Institute, Rotterdam, the Netherlands.
Ross L LevineHuman Oncology and Pathogenesis Program, Memorial Sloan Kettering Cancer Center, New York, New York.
Christopher E MasonDepartment of Physiology and Biophysics, Weill Cornell Medicine, New York, New York.ORCID https://orcid.org/0000-0002-1850-1642
Ari M MelnickDivision of Hematology/Oncology, Weill Cornell Medicine, New York, New York. amm2014@med.cornell.edu sheng.li@jax.org.ORCID https://orcid.org/0000-0002-8074-2287
Cornell University · USMemorial Sloan Kettering Cancer Center · USJackson Laboratory · USErasmus MC · NLUniversity of Connecticut · US

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI SELWYN M VICKERS · 1985 to 2026
$347.4M
Shared Resource ManagementP30CA034196 · NCI · JACKSON LABORATORY · PI Paul Robson · 1985 to 2026
$61.9M
ECOG-ACRIN Integrated Leukemia Translational Science Center (LTSC)UG1CA233332 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CAI, SHENG, LEVINE, ROSS L · 2019 to 2025
$6.2M
Understanding and Targeting Chemotherapy Resistance in Acute Myeloid LeukemiaR01CA198089 · NCI · UNIVERSITY OF PENNSYLVANIA · PI CARROLL, MARTIN · 2015 to 2019
$3.3M
An Integrative Computational Framework for DNA Hydroxymethylation Data Mining and InterpretationR35GM133562 · NIGMS · JACKSON LABORATORY · PI LI, SHENG · 2019 to 2023
$2.4M
Analysis of TET2 function in acute leukemiaK08CA181507 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI SHIH, ALAN · 2016 to 2020
$900k
NCI NIH HHS K08 CA181507NCI NIH HHS P30 CA008748NCI NIH HHS P30 CA034196NCI NIH HHS R01 CA198089NCI NIH HHS UG1 CA233332NIGMS NIH HHS R35 GM133562
6 · The paper itself

Abstract

Epigenetic allele diversity is linked to inferior prognosis in acute myeloid leukemia (AML). However, the source of epiallele heterogeneity in AML is unknown. Herein we analyzed epiallele diversity in a genetically and clinically annotated AML cohort. Notably, AML driver mutations linked to transcription factors and favorable outcome are associated with epigenetic destabilization in a defined set of susceptible loci. In contrast, AML subtypes linked to inferior prognosis manifest greater abundance and highly stochastic epiallele patterning. We report an epiallele outcome classifier supporting the link between epigenetic diversity and treatment failure. Mouse models with

Indexed as

Epigenesis, GeneticFemaleHumansLeukemia, Myeloid, AcuteMaleMutation

Identifiers

PMID32938585
PMCPMC7710625
OpenAlexW3087207017

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.