Evidence map›Paper›PMID 42142152›Full record

ArticleJournal of cancer research and clinical oncology2026

Clinical utility of sarcoma methylation classifiers in soft tissue sarcoma diagnosis.

Justus Osterloh, David E Reuss, Andreas von Deimling, Hannah Füllgraf, Jannis Heyer, Konrad Kurowski, Clara Kirchhof, Anna Meiertoberens, Ute Lausch, Adrian Schmid and 3 more

Abstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Justus OsterlohDepartment of Plastic and Hand Surgery, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany. justus.osterloh@uniklinik-freiburg.de.ORCID http://orcid.org/0009-0001-9216-0807
David E ReussDepartment of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Andreas von DeimlingDepartment of Neuropathology, Institute of Pathology, Heidelberg University Hospital, Heidelberg, Germany.
Hannah FüllgrafInstitute for Surgical Pathology, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Jannis HeyerInstitute for Surgical Pathology, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Konrad KurowskiInstitute for Surgical Pathology, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Clara KirchhofDepartment of Plastic and Hand Surgery, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Anna MeiertoberensDepartment of Plastic and Hand Surgery, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Ute LauschDepartment of Plastic and Hand Surgery, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Adrian SchmidDepartment of Plastic and Hand Surgery, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Steffen U EisenhardtDepartment of Plastic and Hand Surgery, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
David BraigDepartment of Plastic and Hand Surgery, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.
Alexander RunkelDepartment of Plastic and Hand Surgery, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeSoft tissue sarcomas are rare malignant tumors of mesenchymal origin characterized by their heterogeneity and diagnosis is challenging despite integrated histopathology and molecular testing. DNA methylation profiling offers an objective approach for tumor classification, but clinical implementation data in soft tissue sarcoma remain limited.

methodsIn this single-center study, 40 tumor samples from 34 patients were evaluated by routine pathology and array-based DNA methylation profiling and classified using two versions of the sarcoma methylation classifier (V12.3 and V13.1).

resultsWith version V12.3, 16 samples (40%) achieved a high calibrated score ≥ 0.9, among which 87.5% (14/16) were consistent with the histopathologic diagnosis. With V13.1, 29 samples (72.5%) reached a high calibrated score (≥ 0.9) and the classifier's diagnosis aligned with the histopathologic diagnosis in 28 cases (96.6%).

conclusionOverall, DNA methylation-based classification is a valuable adjunct diagnostic tool to confirm or refine the histopathologic diagnosis. V13.1 substantially improved classification confidence and agreement compared with V12.3. However, a considerable subset of specimens remained below the high-confidence threshold, underscoring the need for further technical and workflow optimization before routine clinical implementation.

Indexed as

DNA MethylationSarcomaAdultAgedFemaleHumansMaleMiddle AgedDNA methylationMolecular diagnosticsSoft tissue sarcomaTumor classifier

Identifiers

PMID42142152
PMCPMC13179970

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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.