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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, Zein Mersini Besharat, Andrea Carai, Natalie Jäger, Elena Splendiani, Carole Colin, Agnese Po, Martina Chiacchiarini, Anna Citarella, Francesca Gianno, Antonella Cacchione, Evelina Miele, Francesca Diomedi Camassei, Marco Gessi, Luca Massimi, Franco Locatelli, David Jones, Dominique Figarella‑branger, Stefan Pfister, Angela Mastronuzzi, Felice Giangaspero, Elisabetta Ferretti

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

Science & Mathematics Published 2022 Verification Pending

Overview & Synopsis

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

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Document Information

Document Title MiR-1248: a new prognostic biomarker able to identify supratentorial hemispheric pediatric low-grade gliomas patients associated with progression
Author / Organization Giuseppina Catanzaro, Zein Mersini Besharat, Andrea Carai, Natalie Jäger, Elena Splendiani, Carole Colin, Agnese Po, Martina Chiacchiarini, Anna Citarella, Francesca Gianno, Antonella Cacchione, Evelina Miele, Francesca Diomedi Camassei, Marco Gessi, Luca Massimi, Franco Locatelli, David Jones, Dominique Figarella‑branger, Stefan Pfister, Angela Mastronuzzi, Felice Giangaspero, Elisabetta Ferretti
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2022
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-55887
Original Source Link Visit Source Page on hal.science »