Evidence map›Paper›PMID 29029452›Full record

ArticleOncotarget2017

The H3K27me3-demethylase KDM6A is suppressed in breast cancer stem-like cells, and enables the resolution of bivalency during the mesenchymal-epithelial transition.

Joseph H Taube, Nathalie Sphyris, Kelsey S Johnson, Keighley N Reisenauer, Taylor A Nesbit, Robiya Joseph, Geraldine V Vijay, Tapasree R Sarkar, Neeraja A Bhangre, Joon Jin Song and 4 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing papers in PubMed
3.2field-weighted citation impact, top 7% 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

40 citing papers in PubMed, 67 citations in OpenAlex.

  1. Article
  2. Review
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  4. Article
  5. Review
  6. Overexpression ofBioMed research international · 2025
    Article
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  8. Article
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  10. Review
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  12. Review
  13. Epigenetic factor competition reshapes the EMT landscape.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. EGFR transcriptionally upregulates UTX via STAT3 in non-small cell lung cancer.Journal of cancer research and clinical oncology · 2022
    Article
  19. Article
  20. Article
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 at 4 institutions in 1 country.

Joseph H TaubeDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Nathalie SphyrisDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Kelsey S JohnsonDepartment of Biology, Baylor University, Waco, Texas, USA.
Keighley N ReisenauerDepartment of Biology, Baylor University, Waco, Texas, USA.
Taylor A NesbitDepartment of Biology, Baylor University, Waco, Texas, USA.
Robiya JosephDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Geraldine V VijayDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Tapasree R SarkarDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Neeraja A BhangreDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Joon Jin SongDepatment of Statistical Science, Baylor University, Waco, Texas, USA.
Jeffrey T ChangCenter for Clinical and Translational Sciences, The University of Texas Health Science Center at Houston, Texas, USA.
Min Gyu LeeDepartment of Molecular and Cellular Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Rama SoundararajanDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Sendurai A ManiDepartment of Translational Molecular Pathology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
The University of Texas MD Anderson Cancer Center · USBaylor University · USTexas A&M University · USThe University of Texas Health Science Center at Houston · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
NCI NIH HHS P30 CA016672
6 · The paper itself

Abstract

The deposition of the activating H3K4me3 and repressive H3K27me3 histone modifications within the same promoter, forming a so-called bivalent domain, maintains gene expression in a repressed but transcription-ready state. We recently reported a significantly increased incidence of bivalency following an epithelial-mesenchymal transition (EMT), a process associated with the initiation of the metastatic cascade. The reverse process, known as the mesenchymal-epithelial transition (MET), is necessary for efficient colonization. Here, we identify numerous genes associated with differentiation, proliferation and intercellular adhesion that are repressed through the acquisition of bivalency during EMT, and re-expressed following MET. The majority of EMT-associated bivalent domains arise through H3K27me3 deposition at H3K4me3-marked promoters. Accordingly, we show that the expression of the H3K27me3-demethylase KDM6A is reduced in cells that have undergone EMT, stem-like subpopulations of mammary cell lines and stem cell-enriched triple-negative breast cancers. Importantly, KDM6A levels are restored following MET, concomitant with

Indexed as

bivalent genesepithelial-mesenchymal transitionGSK-J4KDM6Amesenchymal-epithelial transition

Identifiers

PMID29029452
PMCPMC5630352
OpenAlexW2734740032

What OpenQuestion holds

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LicenceCC BY
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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.