DNA Methylation–Based Classification of Soft Tissue and Bone Sarcomas: Systematic Review of Diagnostic Performance, Copy Number Insights, and Clinical Integration
Soft tissue and bone sarcomas are diagnostically challenging due to their morphological overlap. Genome-wide DNA methylation profiling has emerged as an ancillary tool for classification, providing both a supervised diagnostic call and inferred copy-number alterations (CNAs) from a single assay. This systematic review synthesizes the evidence on its diagnostic performance, clinical utility, and integration into practice. Following PRISMA 2020 guidelines, a systematic literature search of PubMed and Google Scholar was conducted for studies published between 2010 and 2025. Eligible studies reported on the use of methylation-based classifiers for sarcoma diagnosis against an integrated histomolecular reference standard. Nine studies were included. In validation cohorts, methylation classifiers provided high-confidence predictions (calibrated score ≥0.9) in 55-75% of cases. When a high-confidence prediction was made, concordance with the reference diagnosis was high (83-88%). Discrepant high-confidence calls prompted diagnostic re-evaluation, leading to revised diagnoses in a significant proportion of cases. Methylation-derived CNAs provided critical diagnostic information for key differentials, such as MDM2 amplification in liposarcoma and 22q loss in SMARCB1-deficient tumors. Performance was robust in fusion-driven sarcomas but lower in selected benign entities. Technical success was influenced by tumor purity and specimen type (FFPE vs. frozen). Evidence for nanopore-based methods remains preliminary. DNA methylation-based classification is a clinically validated tool that augments the diagnosis of sarcomas, offering high diagnostic concordance and valuable copy-number insights. Its integration requires careful interpretation within a multidisciplinary framework. Further prospective validation and standardization of emerging sequencing technologies are warranted.
Authors
- S.C. Bagheri
- Hamidreza Mousazadeh Meibodi
- Mashalah Babashahi
- Parisa Keyhanpajooh
Institutions
- Shahrekord University of Medical Sciences (IR)
- Shiraz University of Medical Sciences (IR)
- Medical University of Ilam (IR)
- Ilam University (IR)
- Fasa University of Medical Sciences (IR)
Publication Details
- Journal
- Studies in Multidisciplinary Medical Research
- Published
- 2025-08-18
- DOI
- https://doi.org/10.61882/smmr.202501.07.04
- Primary Topic
- Sarcoma Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00