Evidence map›Paper›PMID 28574840›Full record

ArticleOncotarget2017

Methylation regulates HEY1 expression in glioblastoma.

Andrew J Tsung, Maheedhara R Guda, Swapna Asuthkar, Collin M Labak, Ian J Purvis, Yining Lu, Neha Jain, Sarah E Bach, Durbaka V R Prasad, Kiran K Velpula

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 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
0.8field-weighted citation impact, top 29% 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, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Review
  4. Review
  5. Review
  6. Practical immunomodulatory landscape of glioblastoma multiforme (GBM) therapy.Journal of the Egyptian National Cancer Institute · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Short-chain fatty acids in cancer pathogenesis.Cancer metastasis reviews · 2023
    Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Article
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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.

Andrew J TsungDepartment of Cancer Biology and Pharmacology, University of Illinois College of Medicine at Peoria, Peoria, IL, USA.
Maheedhara R GudaDepartment of Cancer Biology and Pharmacology, University of Illinois College of Medicine at Peoria, Peoria, IL, USA.
Swapna AsuthkarDepartment of Cancer Biology and Pharmacology, University of Illinois College of Medicine at Peoria, Peoria, IL, USA.
Collin M LabakDepartment of Cancer Biology and Pharmacology, University of Illinois College of Medicine at Peoria, Peoria, IL, USA.
Ian J PurvisDepartment of Cancer Biology and Pharmacology, University of Illinois College of Medicine at Peoria, Peoria, IL, USA.
Yining LuDepartment of Cancer Biology and Pharmacology, University of Illinois College of Medicine at Peoria, Peoria, IL, USA.
Neha JainDepartment of Cancer Biology and Pharmacology, University of Illinois College of Medicine at Peoria, Peoria, IL, USA.
Sarah E BachDepartment of Pathology, Peoria, IL, USA.
Durbaka V R PrasadDepartment of Microbiology, Yogi Vemana University, Kadapa, India.
Kiran K VelpulaDepartment of Cancer Biology and Pharmacology, University of Illinois College of Medicine at Peoria, Peoria, IL, USA.
University of Illinois Urbana-Champaign · USIllinois College · USPeoria campus of the University of Illinois System · USPeoria Hospital · USYogi Vemana University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glioblastoma (GBM) remains one of the most lethal and difficult-to-treat cancers of the central nervous system. The poor prognosis in GBM patients is due in part to its resistance to available treatments, which calls for identifying novel molecular therapeutic targets. In this study, we identified a mediator of Notch signaling, HEY1, whose methylation status contributes to the pathogenesis of GBM. Datamining studies, immunohistochemistry and immunoblot analysis showed that HEY1 is highly expressed in GBM patient specimens. Since methylation status of HEY1 may control its expression, we conducted bisulphite sequencing on patient samples and found that the HEY1 promoter region was hypermethylated in normal brain when compared to GBM specimens. Treatment on 4910 and 5310 xenograft cell lines with sodium butyrate (NaB) significantly decreased HEY1 expression with a concomitant increase in DNMT1 expression, confirming that promoter methylation may regulate HEY1 expression in GBM. NaB treatment also induced apoptosis of GBM cells as measured by flow cytometric analysis. Further, silencing of HEY1 reduced invasion, migration and proliferation in 4910 and 5310 cells. Furthermore, immunoblot and q-PCR analysis showed the existence of a potential positive regulatory loop between HEY1 and p53. Additionally, transcription factor interaction array with HEY1 recombinant protein predicted a correlation with p53 and provided various bonafide targets of HEY1. Collectively, these studies suggest HEY1 may be an important predictive marker for GBM and potential target for future GBM therapy.

Indexed as

DNA MethylationGene Expression Regulation, NeoplasticApoptosisBasic Helix-Loop-Helix ProteinsBrain NeoplasmsButyric AcidCell CycleCell Cycle ProteinsCell Line, TumorCell ProliferationCpG IslandsGene SilencingGlioblastomaHumansModels, BiologicalPromoter Regions, GeneticBasic Helix-Loop-Helix ProteinsButyric AcidCell Cycle ProteinsHEY1 protein, humanTranscription FactorsDNMT1glioblastomamethylationp53proliferation

Identifiers

PMID28574840
PMCPMC5546488
OpenAlexW2616721791

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.