Evidence map›Paper›PMID 33949149›Full record

ArticleThe journal of pathology. Clinical research2021

DNA methylation-based profiling of bone and soft tissue tumours: a validation study of the 'DKFZ Sarcoma Classifier'.

Iben Lyskjaer, Solange De Noon, Roberto Tirabosco, Ana Maia Rocha, Daniel Lindsay, Fernanda Amary, Hongtao Ye, Daniel Schrimpf, Damian Stichel, Martin Sill and 5 more

Abstract read
In one paragraph

Article in The journal of pathology. Clinical research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing 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

35 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Transcriptomic Subgroups in Soft Tissue Tumors Correlate with Morphologic Subtype, Genomic Features, and Outcome.Clinical cancer research : an official journal of the American Association for Cancer Research · 2026
    Article
  8. Review
  9. Article
  10. Low-Grade Fibro-Osseous Lesions With Isolated Chromosome 12 Chromothripsis: A Distinct Entity Or a Low-Grade Central Osteosarcoma With a Novel Driver?Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2026
    Article
  11. Review
  12. Clinicopathologic and Molecular Genetic Features of Spindle Cell Rhabdomyosarcoma Harboring ZFP64::NCOA2/3 Fusions: A Series of 14 Cases.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025
    Article
  13. Article
  14. Article
  15. The DNA methylation landscape of musculoskeletal sarcomas.Exploration of targeted anti-tumor therapy · 2025
    Review
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

15 authors.

Iben Lyskjaer *Research Department of Pathology, University College London, UCL Cancer Institute, London, UK.ORCID 0000-0003-3446-1182
Solange De Noon *Research Department of Pathology, University College London, UCL Cancer Institute, London, UK.ORCID 0000-0002-6380-8117
Roberto TiraboscoDepartment of Histopathology, Royal National Orthopaedic Hospital, Stanmore, UK.
Ana Maia RochaResearch Department of Pathology, University College London, UCL Cancer Institute, London, UK.
Daniel LindsayResearch Department of Pathology, University College London, UCL Cancer Institute, London, UK.
Fernanda AmaryResearch Department of Pathology, University College London, UCL Cancer Institute, London, UK.
Hongtao YeDepartment of Histopathology, Royal National Orthopaedic Hospital, Stanmore, UK.
Daniel SchrimpfDepartment of Neuropathology, University of Heidelberg, Heidelberg, Germany.
Damian StichelClinical Cooperation Unit Neuropathology, German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany.
Martin SillHopp-Children's Cancer Center (KiTZ), Heidelberg, Germany.
Christian KoelscheDepartment of Neuropathology, University of Heidelberg, Heidelberg, Germany.ORCID 0000-0001-8763-8864
Nischalan PillayResearch Department of Pathology, University College London, UCL Cancer Institute, London, UK.
Andreas Von DeimlingDepartment of Neuropathology, University of Heidelberg, Heidelberg, Germany.
Stephan BeckMedical Genomics Research Group, University College London, UCL Cancer Institute, London, UK.
Adrienne M FlanaganResearch Department of Pathology, University College London, UCL Cancer Institute, London, UK.ORCID 0000-0002-2832-1303

Funding

Cancer Research UK 18387Cancer Research UK 29315Department of Health
6 · The paper itself

Abstract

Diagnosing bone and soft tissue neoplasms remains challenging because of the large number of subtypes, many of which lack diagnostic biomarkers. DNA methylation profiles have proven to be a reliable basis for the classification of brain tumours and, following this success, a DNA methylation-based sarcoma classification tool from the Deutsches Krebsforschungszentrum (DKFZ) in Heidelberg has been developed. In this study, we assessed the performance of their classifier on DNA methylation profiles of an independent data set of 986 bone and soft tissue tumours and controls. We found that the 'DKFZ Sarcoma Classifier' was able to produce a diagnostic prediction for 55% of the 986 samples, with 83% of these predictions concordant with the histological diagnosis. On limiting the validation to the 820 cases with histological diagnoses for which the DKFZ Classifier was trained, 61% of cases received a prediction, and the histological diagnosis was concordant with the predicted methylation class in 88% of these cases, findings comparable to those reported in the DKFZ Classifier paper. The classifier performed best when diagnosing mesenchymal chondrosarcomas (CHSs, 88% sensitivity), chordomas (85% sensitivity), and fibrous dysplasia (83% sensitivity). Amongst the subtypes least often classified correctly were clear cell CHSs (14% sensitivity), malignant peripheral nerve sheath tumours (27% sensitivity), and pleomorphic liposarcomas (29% sensitivity). The classifier predictions resulted in revision of the histological diagnosis in six of our cases. We observed that, although a higher tumour purity resulted in a greater likelihood of a prediction being made, it did not correlate with classifier accuracy. Our results show that the DKFZ Classifier represents a powerful research tool for exploring the pathogenesis of sarcoma; with refinement, it has the potential to be a valuable diagnostic tool.

Indexed as

Biomarkers, TumorBone NeoplasmsBrain NeoplasmsClassificationDiagnosis, DifferentialDNA MethylationGene Expression ProfilingGenetic TechniquesHumansSarcomaSoft Tissue NeoplasmsBiomarkers, Tumorboneclassifiermethylation profilingsarcomasoft tissue

Identifiers

PMID33949149
PMCPMC8185366

What OpenQuestion holds

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Registered trials

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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.