Evidence map›Paper›PMID 41369980›Full record

ReviewEpigenetics2025

The technology landscape for detection of DNA methylation in cancer liquid biopsies.

Isabelle Neefs, Joe Ibrahim, Marc Peeters, Guy Van Camp, Ken Op de Beeck

Abstract readReview
In one paragraph

Review in Epigenetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. 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

5 authors.

Isabelle NeefsCenter of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.
Joe IbrahimCenter of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.
Marc PeetersCenter for Oncological Research (CORE), University of Antwerp, Wilrijk, Belgium.
Guy Van CampCenter of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.
Ken Op de BeeckCenter of Medical Genetics, University of Antwerp and Antwerp University Hospital, Edegem, Belgium.ORCID 0000-0001-5527-6838

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

DNA methylation is a well-studied epigenetic factor and has become a powerful player in the cancer biomarker research field. Together with the rising interest in methylation biomarkers, the technological advances for the detection of DNA methylation have been immense. This has led to a plethora of different methods. The first methods were established for DNA methylation detection in genomic DNA, while new methods have focused more on compatibility with the emerging interest of cell-free DNA (cfDNA) from liquid biopsies. As DNA methylation detection in cfDNA brings its own challenges, a shift from the gold standard bisulfite conversion towards enzymatic conversion methods can be observed in recent years. In this review, we aim to summarize the classic and more recent DNA methylation detection methods for liquid biopsies. Importantly, the few existing European Certified In Vitro Diagnostics (CE-IVD) clinical applications for liquid biopsies are also described, underlining the potential of DNA methylation as a detection biomarker in cfDNA. Furthermore, we provide some insights into how the field might evolve in the future, where we believe enzymatic conversion might become a new gold standard and direct sequencing methods, such as ONT-sequencing, will get an important place in the epigenetic research field. Lastly, we believe that multi-omics technologies, which can combine diverse types of biomarkers, will most likely become more important in future clinical applications. Moreover, novel recent technologies are being developed and show promising clinical applications. Taken together, methylation biomarkers are becoming more important for clinical implementation.

Indexed as

Biomarkers, TumorDNA MethylationNeoplasmsCell-Free Nucleic AcidsEpigenesis, GeneticHumansLiquid BiopsySequence Analysis, DNABiomarkers, TumorCell-Free Nucleic AcidscancerdetectionDNA methylation

Identifiers

PMID41369980
PMCPMC11792835

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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.