Evidence map›Paper›PMID 42552597›Full record

ArticleGenes, chromosomes & cancer2026

Accurate Prediction of Central Conventional Chondrosarcoma Risk and Outcome Using Methylation Profiling: CHROME.

Sara Cardoso, Baptiste Ameline, Sanne Venneker, Debora M Meijer, Zeynep B Erdem, Dina Ruano, Brendy E van den Akker, Anne-Marie Cleton-Jansen, Jon Brugger, Inge H Briaire-de Bruijn and 6 more

Abstract read
In one paragraph

Article in Genes, chromosomes & cancer, 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

16 authors.

Sara CardosoDepartment of Pathology, Leiden University Medical Center, Leiden, the Netherlands.ORCID https://orcid.org/0000-0003-0698-2212
Baptiste AmelineBone Tumor Reference Center at the Institute of Pathology, University Hospital Basel and University Basel, Basel, Switzerland.ORCID https://orcid.org/0000-0001-5913-7413
Sanne VennekerDepartment of Pathology, Leiden University Medical Center, Leiden, the Netherlands.ORCID https://orcid.org/0000-0002-4067-9818
Debora M MeijerDepartment of Pathology, Leiden University Medical Center, Leiden, the Netherlands.
Zeynep B ErdemDepartment of Pathology, Leiden University Medical Center, Leiden, the Netherlands.
Dina RuanoDepartment of Pathology, Leiden University Medical Center, Leiden, the Netherlands.
Brendy E van den AkkerDepartment of Pathology, Leiden University Medical Center, Leiden, the Netherlands.
Anne-Marie Cleton-JansenDepartment of Pathology, Leiden University Medical Center, Leiden, the Netherlands.ORCID https://orcid.org/0000-0002-9048-4867
Jon BruggerBone Tumor Reference Center at the Institute of Pathology, University Hospital Basel and University Basel, Basel, Switzerland.ORCID https://orcid.org/0009-0001-7914-1118
Inge H Briaire-de BruijnDepartment of Pathology, Leiden University Medical Center, Leiden, the Netherlands.
Claire H J ScholteDepartment of Orthopedic Surgery, Leiden University Medical Center, Leiden, the Netherlands.
Michiel A J van de SandeDepartment of Orthopedic Surgery, Leiden University Medical Center, Leiden, the Netherlands.ORCID https://orcid.org/0000-0002-9156-7656
Felix Haglund de FlonDepartment of Clinical Pathology and Cancer Diagnostics, Karolinska University Hospital, Stockholm, Sweden.ORCID https://orcid.org/0000-0002-7015-3841
Daniel BaumhoerBone Tumor Reference Center at the Institute of Pathology, University Hospital Basel and University Basel, Basel, Switzerland.
Noel F C C de MirandaDepartment of Pathology, Leiden University Medical Center, Leiden, the Netherlands.ORCID https://orcid.org/0000-0001-6122-1024
Judith V M G BovéeDepartment of Pathology, Leiden University Medical Center, Leiden, the Netherlands.ORCID https://orcid.org/0000-0003-1155-0481

Funding

Bone Cancer Research Trust 8922H2020 European Research Council 852832Leiden Center for computational OncologyZonMw 09150172110092
6 · The paper itself

Abstract

Chondrosarcomas are malignant cartilage-forming bone tumors with heterogeneous behavior, making prognostication and clinical management challenging. Histological grading is the primary tool for predicting clinical outcomes in conventional chondrosarcoma. However, its high interobserver variability limits reliable distinction between low- and high-risk patients, potentially leading to suboptimal clinical management. Given the increasing use of DNA methylation profiling as a valuable tool in surgical pathology for tumor classification, we investigated its prognostic value in central conventional chondrosarcoma. We generated methylation data from 69 primary central conventional chondrosarcomas profiled with Illumina's Human MethylationEPIC Array (850 k sites), and identified methylation sites individually linked to patient outcome. A LASSO Cox regression model was applied to these methylation sites to identify an optimal set of eight informative sites. With the regression coefficients of these methylation sites, we constructed a risk score that predicts central conventional Chondrosarcoma Risk Outcome from Methylation (CHROME). CHROME stratifies patients into High or Low risk groups for disease recurrence, onset of metastasis and disease-specific mortality. Survival analysis in an independent validation cohort (n = 68) demonstrated strong discriminatory performance of CHROME, with complete separation of outcomes and no adverse events observed in the Low risk group. Overview of the clinico-pathological information showed that a low grade (ACT/G1) case with an event was correctly assigned to the High risk group, while nine high grade cases without events were classified as Low risk. CHROME provides accurate risk stratification in central conventional chondrosarcoma and may represent a valuable tool for improving its prognostication and clinical management.

Indexed as

Bone NeoplasmsChondrosarcomaDNA MethylationAdultAgedBiomarkers, TumorFemaleHumansMaleMiddle AgedPrognosisBiomarkers, Tumorbone tumorchondrosarcomaCpG islandDNA methylationisocitrate dehydrogenaserisk score

Identifiers

PMID42552597
PMCPMC13437929

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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.