Evidence map›Paper›PMID 33789109›Full record

ArticleCell reports2021

Epigenomic tensor predicts disease subtypes and reveals constrained tumor evolution.

Jacob R Leistico, Priyanka Saini, Christopher R Futtner, Miroslav Hejna, Yasuhiro Omura, Pritin N Soni, Poorva Sandlesh, Magdy Milad, Jian-Jun Wei, Serdar Bulun and 4 more

Abstract read
In one paragraph

Article in Cell reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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  4. Article
  5. UTERINE FIBROIDS.Physiological reviews · 2025
    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

14 authors.

Jacob R LeisticoDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Priyanka SainiDepartment of Obstetrics and Gynecology, Northwestern University, Chicago, IL, USA; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Christopher R FuttnerDepartment of Medicine, Northwestern University, Chicago, IL, USA; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Miroslav HejnaDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA.
Yasuhiro OmuraDepartment of Medicine, Northwestern University, Chicago, IL, USA; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Pritin N SoniDepartment of Obstetrics and Gynecology, Northwestern University, Chicago, IL, USA; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Poorva SandleshDepartment of Obstetrics and Gynecology, Northwestern University, Chicago, IL, USA; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Magdy MiladDepartment of Obstetrics and Gynecology, Northwestern University, Chicago, IL, USA; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Jian-Jun WeiDepartment of Pathology, Northwestern University, Chicago, IL, USA; Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Serdar BulunDepartment of Obstetrics and Gynecology, Northwestern University, Chicago, IL, USA; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
J Brandon ParkerDepartment of Obstetrics and Gynecology, Northwestern University, Chicago, IL, USA; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Grant D BarishDepartment of Medicine, Northwestern University, Chicago, IL, USA; Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Jun S SongDepartment of Physics, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Carl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL, USA; Cancer Center at Illinois, University of Illinois at Urbana-Champaign, Urbana, IL, USA. Electronic address: songj@illinois.edu.
Debabrata ChakravartiDepartment of Obstetrics and Gynecology, Northwestern University, Chicago, IL, USA; Department of Pharmacology, Northwestern University, Chicago, IL, USA; Robert H. Lurie Comprehensive Cancer Center, Northwestern University, Chicago, IL, USA. Electronic address: debu@northwestern.edu.

Funding

Uterine Leiomyoma Research Center ProgramP01HD057877 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BULUN, SERDAR E. · 2009 to 2019
$12.2M
The Origin and Cellular Heterogeneity of Uterine LeiomyomasP50HD098580 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BULUN, SERDAR E. · 2019 to 2023
$7.4M
Predicting Transcriptional and Epigenetic Networks in Cancer from Sequencing DataR01CA163336 · NCI · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Jun S Song · 2012 to 2026
$4.4M
Nuclear Repressors in Genomic Control of Healthful ObesityR01DK108987 · NIDDK · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BARISH, GRANT D · 2016 to 2024
$3.4M
Integrative Genomics, Epigenomics and Bioinformatics Analyses of Human Uterine FibroidsR01HD089552 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI BARISH, GRANT D, BULUN, SERDAR E. · 2016 to 2020
$3.4M
Integrating Epigenomic and Nuclear Receptor Signaling in Castrate Resistant Prostate CancerR01CA196270 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI ABDULKADIR, SARKI A., CHAKRAVARTI, DEBABRATA · 2015 to 2019
$2.2M
Gut Microbiome and Steroid HormonesR21TR003105 · NCATS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI BULUN, SERDAR E., MUTLU, ECE A. · 2020 to 2021
$446k
NCATS NIH HHS R21 TR003105NCI NIH HHS R01 CA163336NCI NIH HHS R01 CA196270NICHD NIH HHS P01 HD057877NICHD NIH HHS P50 HD098580NICHD NIH HHS R01 HD089552NIDDK NIH HHS R01 DK108987
6 · The paper itself

Abstract

Understanding the epigenomic evolution and specificity of disease subtypes from complex patient data remains a major biomedical problem. We here present DeCET (decomposition and classification of epigenomic tensors), an integrative computational approach for simultaneously analyzing hierarchical heterogeneous data, to identify robust epigenomic differences among tissue types, differentiation states, and disease subtypes. Applying DeCET to our own data from 21 uterine benign tumor (leiomyoma) patients identifies distinct epigenomic features discriminating normal myometrium and leiomyoma subtypes. Leiomyomas possess preponderant alterations in distal enhancers and long-range histone modifications confined to chromatin contact domains that constrain the evolution of pathological epigenomes. Moreover, we demonstrate the power and advantage of DeCET on multiple publicly available epigenomic datasets representing different cancers and cellular states. Epigenomic features extracted by DeCET can thus help improve our understanding of disease states, cellular development, and differentiation, thereby facilitating future therapeutic, diagnostic, and prognostic strategies.

Indexed as

EpigenomeCell DifferentiationChromatinCluster AnalysisEnhancer Elements, GeneticEpigenesis, GeneticExtracellular MatrixFemaleGene Expression Regulation, NeoplasticGenes, HomeoboxHEK293 CellsHumansLeiomyomaMyometriumNucleotide MotifsTranscription FactorsChromatinTranscription FactorscancerepigenomicsHOXA13leiomyomasupport tensor machinetensor decomposition

Identifiers

PMID33789109
PMCPMC8111960

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.