Evidence map›Paper›PMID 40899628›Full record

ReviewEpigenomics2025

DNA methylation profile to aid in the diagnosis of pancreatic ductal adenocarcinoma and its role in disease progression.

Elena Grafenhorst, Teodor G Calina, Mihnea P Dragomir

Abstract readReview
In one paragraph

Review in Epigenomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. 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

3 authors.

Elena GrafenhorstInstitute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0009-0001-4250-0172
Teodor G CalinaFaculty of Physics, Babeș-Bolyai University, Cluj-Napoca, Romania.ORCID 0000-0003-2972-2093
Mihnea P DragomirInstitute of Pathology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin, Berlin, Germany.ORCID 0000-0002-5550-3516

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is no immunohistochemical or molecular marker to confirm the histologic diagnosis of pancreatic ductal adenocarcinoma (PDAC). This is particularly important in a scenario of unknown primary. Molecularly, PDAC is characterized by a limited set of driver mutations, and new predictive and prognostic markers are needed to guide novel therapies. Recent data show that DNA methylation profiles combined with complex machine learning algorithms are ideal tools to improve the diagnosis of PDAC. In addition, DNA methylation can be used to gain a deeper understanding of PDAC pathogenesis and further stratify this entity. Furthermore, exciting technologies have emerged, such as nanopore sequencing, which can be used to move these diagnostic tools from the postoperative to the intraoperative setting, or even as a liquid biopsy approach.

Indexed as

Biomarkers, TumorCarcinoma, Pancreatic DuctalDNA MethylationPancreatic NeoplasmsDisease ProgressionHumansPrognosisBiomarkers, Tumordiagnostic pathologyDNA methylationepigenetic technologiesmachine learningpancreatic ductal adenocarcinoma

Identifiers

PMID40899628
PMCPMC12562727

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.