Evidence map›Paper›PMID 30993897›Full record

ArticleCancer medicine2019

Methylation analysis of Gasdermin E shows great promise as a biomarker for colorectal cancer.

Joe Ibrahim, Ken Op de Beeck, Erik Fransen, Lieselot Croes, Matthias Beyens, Arvid Suls, Wim Vanden Berghe, Marc Peeters, Guy Van Camp

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
54citing papers in PubMed, 1 pooled it
3.4field-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

54 citing papers in PubMed, 1 synthesis or guideline pooled it, 75 citations in OpenAlex.

  1. Bibliometric analysis and mini-review of global research on pyroptosis in the field of cancer.Apoptosis : an international journal on programmed cell death · 2023
    Pooled it
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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

9 authors at 1 institution in 1 country.

Joe IbrahimCentre of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.ORCID 0000-0001-9728-5273
Ken Op de BeeckCentre of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.ORCID 0000-0001-5527-6838
Erik FransenCentre of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.ORCID 0000-0001-7785-4790
Lieselot CroesCentre of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.
Matthias BeyensCentre of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.ORCID 0000-0003-3304-0706
Arvid SulsCentre of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.
Wim Vanden BergheLaboratory of Protein Chemistry, Proteomics and Epigenetic Signaling, Department of Biomedical Sciences, University of Antwerp, Antwerp, Belgium.ORCID 0000-0003-0161-7355
Marc PeetersCentre for Oncological Research, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.ORCID 0000-0003-4969-2303
Guy Van CampCentre of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.ORCID 0000-0001-5105-9000
University of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In addition to its implication in hereditary hearing loss, the Gasdermin E (GSDME) gene is also a tumor suppressor involved in cancer progression through programmed cell death. GSDME epigenetic silencing through methylation has been shown in some cancer types, but studies are yet to fully explore its diagnostic/prognostic potential in colorectal cancer on a large-scale. We used public data from The Cancer Genome Atlas (TCGA) to investigate differences in GSDME methylation and expression between colorectal cancer and normal colorectal tissue, and between left- and right-sided colorectal cancers in 432 samples. We also explored GSDME's diagnostic capacity as a biomarker for colorectal cancer. We observed differential methylation in all 22 GSDME CpGs between tumor and normal tissues, and in 18 CpGs between the left- and right-sided groups. In the cancer tissue, putative promoter probes were hypermethylated and gene body probes were hypomethylated, while this pattern was inversed in normal tissues. Both putative promoter and gene body CpGs correlated well together but formed distinct methylation patterns with the putative promoter exhibiting the most pronounced methylation differences between tumor and normal tissues. Clinicopathological parameters, excluding age, did not show any effect on CpG methylation. Although the methylation of 5 distinct probes was a good predictor of gene expression, we could not identify an association between GSDME methylation and expression in general. Survival analysis showed no association between GSDME methylation and expression on 5-year patient survival. Through logistic regression, we identified a combination of 2 CpGs, that can discriminate between cancer and normal tissue with high accuracy (AUC = 0.95) irrespective of age and tumor stage. We also validated our model in 3 external methylation datasets, from the Gene Expression Omnibus database, and similar results were reached. Our results suggest that GSDME is a promising biomarker for the detection of colorectal cancer.

Indexed as

DNA MethylationDown-RegulationBiomarkers, TumorColorectal NeoplasmsCpG IslandsEpigenesis, GeneticFemaleGasderminsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLogistic ModelsMaleNeoplasm StagingPromoter Regions, GeneticReceptors, EstrogenBiomarkers, TumorGasderminsGSDME protein, humanReceptors, EstrogenBiomarkerColorectal cancerDiagnosisDNA methylationGSDME

Identifiers

PMID30993897
PMCPMC6536921
OpenAlexW2936835725

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.