Home > Publications database > MiR-1248: a new prognostic biomarker able to identify supratentorial hemispheric pediatric low-grade gliomas patients associated with progression. > print |
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041 | _ | _ | |a English |
082 | _ | _ | |a 610 |
100 | 1 | _ | |a Catanzaro, Giuseppina |b 0 |
245 | _ | _ | |a MiR-1248: a new prognostic biomarker able to identify supratentorial hemispheric pediatric low-grade gliomas patients associated with progression. |
260 | _ | _ | |a London |c 2022 |b Biomed Central |
336 | 7 | _ | |a article |2 DRIVER |
336 | 7 | _ | |a Output Types/Journal article |2 DataCite |
336 | 7 | _ | |a Journal Article |b journal |m journal |0 PUB:(DE-HGF)16 |s 1655727742_1692 |2 PUB:(DE-HGF) |
336 | 7 | _ | |a ARTICLE |2 BibTeX |
336 | 7 | _ | |a JOURNAL_ARTICLE |2 ORCID |
336 | 7 | _ | |a Journal Article |0 0 |2 EndNote |
520 | _ | _ | |a 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.We identified and validated supratentorial incompletey resected pLGG-specific microRNAs in independent cohorts from four European Pediatric Neuro-Oncology Centres.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.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. |
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650 | _ | 7 | |a Pediatric low-grade gliomas |2 Other |
650 | _ | 7 | |a Personalized medicine |2 Other |
650 | _ | 7 | |a Prognostic biomarker |2 Other |
650 | _ | 7 | |a Risk stratification |2 Other |
650 | _ | 7 | |a Tumour progression |2 Other |
650 | _ | 7 | |a miR-1248 |2 Other |
700 | 1 | _ | |a Besharat, Zein Mersini |b 1 |
700 | 1 | _ | |a Carai, Andrea |b 2 |
700 | 1 | _ | |a Jäger, Natalie |0 P:(DE-He78)bff9e3e3d86865d2b0836bb8f3ce98f3 |b 3 |u dkfz |
700 | 1 | _ | |a Splendiani, Elena |b 4 |
700 | 1 | _ | |a Colin, Carole |b 5 |
700 | 1 | _ | |a Po, Agnese |b 6 |
700 | 1 | _ | |a Chiacchiarini, Martina |b 7 |
700 | 1 | _ | |a Citarella, Anna |b 8 |
700 | 1 | _ | |a Gianno, Francesca |b 9 |
700 | 1 | _ | |a Cacchione, Antonella |b 10 |
700 | 1 | _ | |a Miele, Evelina |b 11 |
700 | 1 | _ | |a Diomedi Camassei, Francesca |b 12 |
700 | 1 | _ | |a Gessi, Marco |b 13 |
700 | 1 | _ | |a Massimi, Luca |b 14 |
700 | 1 | _ | |a Locatelli, Franco |b 15 |
700 | 1 | _ | |a Jones, David |0 P:(DE-He78)551bb92841f634070997aa168d818492 |b 16 |u dkfz |
700 | 1 | _ | |a Figarella-Branger, Dominique |b 17 |
700 | 1 | _ | |a Pfister, Stefan |0 P:(DE-He78)f746aa965c4e1af518b016de3aaff5d9 |b 18 |u dkfz |
700 | 1 | _ | |a Mastronuzzi, Angela |b 19 |
700 | 1 | _ | |a Giangaspero, Felice |b 20 |
700 | 1 | _ | |a Ferretti, Elisabetta |b 21 |
773 | _ | _ | |a 10.1186/s40364-022-00389-x |g Vol. 10, no. 1, p. 44 |0 PERI:(DE-600)2699926-2 |n 1 |p 44 |t Biomarker Research |v 10 |y 2022 |x 2050-7771 |
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