Evidence map›Paper›PMID 37709492›Full record

ArticleGut2023

DNA-methylation signature accurately differentiates pancreatic cancer from chronic pancreatitis in tissue and plasma.

Yenan Wu, Isabelle Seufert, Fawaz N Al-Shaheri, Roman Kurilov, Andrea S Bauer, Mehdi Manoochehri, Evgeny A Moskalev, Benedikt Brors, Christin Tjaden, Nathalia A Giese and 3 more

Registry-linked trialAbstract read
In one paragraph

Article in Gut, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07045571 (Methylation Signature of Circulating Tumour DNA as a Prognostic and Theranostic Tool for Managing Pancreatic Ductal Adenocarcinoma), which is not on this map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
–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.

NCT07045571 recruitingnot on this map

Methylation Signature of Circulating Tumour DNA as a Prognostic and Theranostic Tool for Managing Pancreatic Ductal Adenocarcinoma

TypeobservationalSponsorYingbin Liu, MD, PhD, FACSRan2022 to 2026Enrolled1,000ConditionsPancreatic Neoplasm, Pancreas Cancer
3 · Its place in the literature

Who cites it

29 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Liver Kinase B1 in CD11cAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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

13 authors.

Yenan WuDivision of Functional Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Isabelle SeufertDivision of Functional Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany.ORCID 0000-0001-9811-3836
Fawaz N Al-ShaheriDivision of Functional Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Roman KurilovDivision of Applied Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Andrea S BauerDivision of Functional Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Mehdi ManoochehriDivision of Functional Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Evgeny A MoskalevInstitute of Pathology, Universitätsklinikum Erlangen, Friedrich Alexander Universität Erlangen-Nürnberg, Erlangen, Germany.
Benedikt BrorsDivision of Applied Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Christin TjadenDepartment of Surgery, Heidelberg University Hospital, Heidelberg, Germany.
Nathalia A GieseDepartment of Surgery, Heidelberg University Hospital, Heidelberg, Germany.
Thilo Hackert *Department of Surgery, Heidelberg University Hospital, Heidelberg, Germany.
Markus W Büchler *Department of Surgery, Heidelberg University Hospital, Heidelberg, Germany.
Jörg D Hoheisel *Division of Functional Genome Analysis, German Cancer Research Center (DKFZ), Heidelberg, Germany j.hoheisel@dkfz.de.ORCID 0000-0002-1583-5049

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivePancreatic ductal adenocarcinoma (PDAC) is a lethal malignancy. Differentiation from chronic pancreatitis (CP) is currently inaccurate in about one-third of cases. Misdiagnoses in both directions, however, have severe consequences for patients. We set out to identify molecular markers for a clear distinction between PDAC and CP.

designGenome-wide variations of DNA-methylation, messenger RNA and microRNA level as well as combinations thereof were analysed in 345 tissue samples for marker identification. To improve diagnostic performance, we established a random-forest machine-learning approach. Results were validated on another 48 samples and further corroborated in 16 liquid biopsy samples.

resultsMachine-learning succeeded in defining markers to differentiate between patients with PDAC and CP, while low-dimensional embedding and cluster analysis failed to do so. DNA-methylation yielded the best diagnostic accuracy by far, dwarfing the importance of transcript levels. Identified changes were confirmed with data taken from public repositories and validated in independent sample sets. A signature of six DNA-methylation sites in a CpG-island of the protein kinase C beta type gene achieved a validated diagnostic accuracy of 100% in tissue and in circulating free DNA isolated from patient plasma.

conclusionThe success of machine-learning to identify an effective marker signature documents the power of this approach. The high diagnostic accuracy of discriminating PDAC from CP could have tremendous consequences for treatment success, once the result from still a limited number of liquid biopsy samples would be confirmed in a larger cohort of patients with suspected pancreatic cancer.

Indexed as

Carcinoma, Pancreatic DuctalPancreatic NeoplasmsPancreatitis, ChronicBiomarkers, TumorDNADNA MethylationHumansBiomarkers, TumorDNAchronic pancreatitispancreatic cancer

Identifiers

PMID37709492
PMCPMC10715533

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Registered trials

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.