Deciphering the Genomic Landscape and Pharmacological Profile of Uncommon Entities of Adult Rhabdomyosarcomas.
Alessandro De VitaSilvia VanniValentina FaustiClaudia CocchiFederica RecineGiacomo MiserocchiChiara LiveraniChiara SpadazziMassimo BassiManlio GessaroliAngelo CampobassiGiovanni De LucaFederica PieriAnna FarnediEugenia FranchiniAnna FerrariChiara DomizioEnrico CavagnaLorena GurrieriAlberto BongiovanniNada RivaSebastiano CalponaGiandomenico Di MennaSilvia Angela DebonisToni IbrahimLaura MercataliPublished in: International journal of molecular sciences (2021)
Adult rhabdomyosarcoma (RMS) represents an uncommon entity with an incidence of less than 3% of all soft tissue sarcomas (STS). Consequently, the natural history and the clinical management of this disease are infrequently reported. In order to fill this gap, we investigated the molecular biology of an adult RMS case series. The expression of epithelial mesenchymal transition-related gene and chemoresistance-related gene panels were evaluated. Moreover, taking advantage of our STS translational model combining patient-derived primary culture and 3D-scaffold, the pharmacological profile of an adult head and neck sclerosing RMS was assessed. Furthermore, NGS, microsatellite instability, and in silico analyses were carried out. RT-PCR identified the upregulation of CDH1, SLUG, MMP9, RAB22a, S100P, and LAPTM4b, representing promising biomarkers for this disease. Pharmacological profiling showed the highest sensitivity with anthracycline-based regimen in both 2D and 3D culture systems. NGS analysis detected RAB3IP-HMGA2 in frame gene rearrangement and FGFR4 mutation; microsatellite instability analysis did not detect any alteration. In silico analysis confirmed the mutation of FGFR4 as a promising marker for poor prognosis and a potential therapeutic target. We report for the first time the molecular and pharmacological characterization of rare entities of adult head and neck and posterior trunk RMS. These preliminary data could shed light on this poorly understood disease.
Keyphrases
- poor prognosis
- epithelial mesenchymal transition
- long non coding rna
- copy number
- genome wide
- soft tissue
- risk assessment
- genome wide identification
- transcription factor
- dna methylation
- cell proliferation
- single cell
- signaling pathway
- machine learning
- mass spectrometry
- climate change
- single molecule
- high grade
- high resolution
- childhood cancer