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Updated: May 18, 2026

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LINE-1 Methylation Analysis in Mesenchymal Stem Cells Treated with Osteosarcoma-Derived Extracellular Vesicles
Published on: February 1, 2020
Clinical utility of sarcoma methylation classifiers in soft tissue sarcoma diagnosis
Justus Osterloh1, David E Reuss2,3, Andreas von Deimling2,3
1Department of Plastic and Hand Surgery, Faculty of Medicine, Medical Center - University of Freiburg, Freiburg, Germany. justus.osterloh@uniklinik-freiburg.de.
Journal of Cancer Research and Clinical Oncology
|May 16, 2026
Summary
DNA methylation profiling aids in diagnosing rare soft tissue sarcomas. Version 13.1 of the classifier significantly improved diagnostic accuracy and confidence compared to version 12.3.
Area of Science:
- Oncology
- Molecular Diagnostics
- Genomics
Background:
- Soft tissue sarcomas are rare, heterogeneous tumors requiring accurate diagnosis.
- Histopathology and molecular testing are used, but diagnosis remains challenging.
- DNA methylation profiling offers an objective classification method with limited clinical implementation data in sarcomas.
Purpose of the Study:
- To evaluate the clinical utility of DNA methylation profiling for soft tissue sarcoma classification.
- To compare two versions (V12.3 and V13.1) of a sarcoma methylation classifier.
- To assess the diagnostic agreement between methylation profiling and histopathology.
Main Methods:
- Single-center study involving 40 tumor samples from 34 patients.
- Routine histopathology and array-based DNA methylation profiling were performed.
- Samples were classified using sarcoma methylation classifier versions V12.3 and V13.1.
Main Results:
- Version V12.3 achieved high classification scores (≥0.9) in 40% of samples, with 87.5% agreement with histopathology.
- Version V13.1 achieved high scores in 72.5% of samples, with 96.6% agreement with histopathology.
- V13.1 demonstrated a substantial improvement in classification confidence and agreement.
Conclusions:
- DNA methylation profiling is a valuable adjunct for confirming or refining soft tissue sarcoma diagnoses.
- The V13.1 classifier significantly enhanced diagnostic confidence and agreement over V12.3.
- Further optimization is needed for routine clinical implementation due to a subset of specimens lacking high-confidence classification.
