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MiR-1248: a new prognostic biomarker able to identify supratentorial hemispheric pediatric low-grade gliomas patients associated with progression

  • Giuseppina Catanzaro (Creatore)
  • Zein Mersini Besharat (Creatore)
  • Andrea Carai (Creatore)
  • Natalie Jäger (Creatore)
  • Elena Splendiani (Creatore)
  • Carole Colin (Creatore)
  • Agnese Po (Creatore)
  • Martina Chiacchiarini (Creatore)
  • Anna Citarella (Creatore)
  • Francesca Gianno (Creatore)
  • Antonella Cacchione (Creatore)
  • Evelina Miele (Creatore)
  • Francesca Diomedi-Camassei (Creatore)
  • Marco Gessi (Creatore)
  • Luca Massimi (Creatore)
  • Franco Locatelli (Creatore)
  • David T.W. Jones (Creatore)
  • Dominique Figarella-Branger (Creatore)
  • Stefan M. Pfister (Creatore)
  • Angela Mastronuzzi (Creatore)
  • Felice Giangaspero (Creatore)
  • Elisabetta Ferretti (Creatore)

Dataset

Description

Abstract Background Pediatric low-grade gliomas (pLGGs), particularly incompletely resected supratentorial tumours, can undergo progression after surgery. However to date, there are no predictive biomarkers for progression. Here, we aimed to identify pLGG-specific microRNA signatures and evaluate their value as a prognostic tool. Methods We identified and validated supratentorial incompletey resected pLGG-specific microRNAs in independent cohorts from four European Pediatric Neuro-Oncology Centres. Results These microRNAs demonstrated high accuracy in differentiating patients with or without progression. Specifically, incompletely resected supratentorial pLGGs with disease progression showed significantly higher miR-1248 combined with lower miR-376a-3p and miR-888-5p levels than tumours without progression. A significant (p < 0.001) prognostic performance for miR-1248 was reported with an area under the curve (AUC) of 1.00. We also highlighted a critical oncogenic role for miR-1248 in gliomas tumours. Indeed, high miR-1248 levels maintain low its validated target genes (CDKN1A (p21)/FRK/SPOP/VHL/MTAP) and consequently sustain the activation of oncogenic pathways. Conclusions Altogether, we provide a novel molecular biomarker able to successfully identify pLGG patients associated with disease progression that could support the clinicians in the decision-making strategy, advancing personalized medicine.
Dati resi disponibili2022
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