Evidence map›Paper›PMID 34978357›Full record

ArticleMolecular oncology2022

Genome-wide DNA methylation profiling and identification of potential pan-cancer and tumor-specific biomarkers.

Joe Ibrahim, Ken Op de Beeck, Erik Fransen, Marc Peeters, Guy Van Camp

Open access · goldAbstract read
In one paragraph

Article in Molecular oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.1field-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

23 citing papers in PubMed, 36 citations in OpenAlex.

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  11. Epigenetics of oogenesis.Archives of gynecology and obstetrics · 2025
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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

5 authors at 1 institution in 1 country.

Joe IbrahimCenter of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.ORCID 0000-0001-9728-5273
Ken Op de BeeckCenter of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.
Erik FransenCenter of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.
Marc PeetersCenter for Oncological Research, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.
Guy Van CampCenter of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.
University of Antwerp · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation alterations have already been linked to cancer, and their usefulness for therapy and diagnosis has encouraged research into the human epigenome. Several biomarker studies have focused on identifying cancer types individually, yet common cancer and multicancer markers are still underexplored. We used The Cancer Genome Atlas (TCGA) to investigate genome-wide methylation profiles of 14 different cancer types and developed a three-step computational approach to select candidate biomarker CpG sites. In total, 1991 pan-cancer and between 75 and 1803 cancer-specific differentially methylated CpG sites were discovered. Differentially methylated blocks and regions were also discovered for the first time on such a large scale. Through a three-step computational approach, a combination of four pan-cancer CpG markers was identified from these sites and externally validated (AUC = 0.90), maintaining comparable performance across tumor stages. Additionally, 20 tumor-specific CpG markers were identified and made up the final type-specific prediction model, which could accurately differentiate tumor types (AUC = 0.87-0.99). Our study highlights the power of the methylome as a rich source of cancer biomarkers, and the signatures we identified provide a new resource for understanding cancer mechanisms on the wider genomic scale with strong applicability in the context of new minimally invasive cancer detection assays.

Indexed as

Biomarkers, TumorNeoplasmsCpG IslandsDNA MethylationEpigenesis, GeneticGenome-Wide Association StudyHumansBiomarkers, Tumorbiomarkercancergenome-wide analysismethylationpan-cancertumor-specific

Identifiers

PMID34978357
PMCPMC9208075
OpenAlexW4206327682

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.