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Updated: May 7, 2026

DNA-barcode-based Multiplex Immunofluorescence Imaging to Analyze FFPE Specimens from Genetically Reprogrammed Murine Melanoma
Published on: June 6, 2025
A diagnostic algorithm to distinguish desmoplastic from spindle cell melanoma
Stephanie E Weissinger1, Philipp Keil1, David N Silvers2
1Institute of Pathology, University of Ulm, Ulm, Germany.
Spindle cell and desmoplastic melanomas are hard to distinguish. New biomarkers and an algorithm using MelanA and trichrome can now differentiate these melanoma types with 94% sensitivity.
Area of Science:
- Dermatopathology
- Oncology
- Molecular Diagnostics
Background:
- Spindle cell melanoma (SCM) and desmoplastic melanoma (DM) present overlapping histopathological features, complicating accurate diagnosis.
- Clinical prognosis and therapeutic strategies differ between SCM and DM, highlighting the need for precise diagnostic tools.
- A direct comparison of diagnostic and therapeutic biomarkers for SCM and DM has been lacking.
Purpose of the Study:
- To conduct a comprehensive comparison of diagnostic and therapeutic biomarkers in SCM and DM.
- To identify key immunophenotypic differences to aid in distinguishing SCM from DM.
- To develop a diagnostic algorithm for improved differentiation of these melanoma subtypes.
Main Methods:
- Meta-review of existing literature on SCM and DM clinicopathological differences.
- Analysis of 38 archival melanoma cases (16 SCM, 18 DM, 4 mixed) using 50 routine diagnostic biomarkers.
- Assessment of gene amplification and expression status for drugable targets (e.g., HER2, EGFR, MET, MDM2, TP53, ALK, MYC, FLI-1, KIT) via fluorescent in situ hybridization (FISH).
- BRAF mutation analysis.
Main Results:
- S100 remains a reliable marker for melanoma diagnosis in both subtypes.
- Nine biomarkers showed distinct labeling patterns: SCM (laminin, p75, HMB45, c-kit, MelanA) and DM (collagen IV, trichrome, CD68, MDM2).
- A diagnostic algorithm utilizing MelanA and trichrome achieved 94% sensitivity in distinguishing DM from SCM.
- Protein overexpression of drugable targets was found in 92% of cases; BRAF mutations occurred in 16% overall (31% SCM, 5% DM).
Conclusions:
- This study provides the first comprehensive screening of diagnostic and therapeutic biomarkers for SCM and DM.
- The developed algorithm offers a reliable method for differentiating SCM from DM when histology is ambiguous.
- High rates of protein overexpression in drugable targets suggest potential therapeutic avenues for these melanoma subtypes.
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