A girl, born with a posterior lumbosacral giant congenital nevus, developed a central nodule that expanded over a period of 14 months into a 10‐cm pedunculated mass. Histological analysis of the mass revealed melanoma of myxoid, small round‐cell type with areas of rhabdomyosarcomatous transformation confirmed by immunohistochemistry. RNA sequencing identified an in‐frame SASS6(e14)‐RAF1(e8) fusion in both components and the nevus. A RAF1 FISH break‐apart test found a balanced rearrangement pattern in the nevus and an unbalanced pattern in the malignant areas. Wild‐type status of NRAS and BRAF was confirmed by NGS techniques. The array‐CGH profile displayed copy number alterations commonly found in rhabdomyosarcomas. Despite intensive treatment, widespread metastatic evolution of the melanomatous component was observed.
Many neoplasms remain unclassified after histopathological examination, which requires further molecular analysis. To this regard, mesenchymal neoplasms are particularly challenging due to the combination of their rarity and the large number of subtypes, and many entities still lack robust diagnostic hallmarks. RNA transcriptomic profiles have proven to be a reliable basis for the classification of previously unclassified tumors and notably for mesenchymal neoplasms. Using exome-based RNA capture sequencing on more than 5000 samples of archival material (formalin-fixed, paraffin-embedded), the combination of expression profiles analyzes (including several clustering methods), fusion genes, and small nucleotide variations has been developed at the Centre Léon Bérard (CLB) in Lyon for the molecular diagnosis of challenging neoplasms and the discovery of new entities. The molecular basis of the technique, the protocol, and the bioinformatics algorithms used are described herein, as well as its advantages and limitations.
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