High-throughput microRNA profiling of pediatric high-grade gliomas. Issue 2 (4th December 2013)

• Record Type: Journal Article
• Authors: Miele, Evelina; Buttarelli, Francesca Romana; Arcella, Antonella; Begalli, Federica; Garg, Neha; Silvano, Marianna; Po, Agnese; Baldi, Caterina; Carissimo, Giuseppe; Antonelli, Manila; Spinelli, Gian Paolo; Capalbo, Carlo; Donofrio, Vittoria; Morra, Isabella; Nozza, Paolo; Gulino, Alberto; Giangaspero, Felice; Ferretti, Elisabetta
• Is Part Of: Neuro-oncology. Volume 16:Issue 2(2014:Feb.)
• Page Start: 228
• Page End: 240
• Publication Date: 2013-12-04
• Subjects: cancer -- expression profiling -- microRNA -- pediatric gliomas; Brain Neoplasms -- Periodicals; Brain -- Tumors -- Periodicals; Brain -- Cancer -- Periodicals; Nervous system -- Cancer -- Periodicals; 616.99481
• DOI: 10.1093/neuonc/not215
• Languages: English
• ISSNs: 1522-8517

Abstract

Abstract: Background: High-grade gliomas (HGGs) account for 15% of all pediatric brain tumors and are a leading cause of cancer-related mortality and morbidity. Pediatric HGGs (pHGGs) are histologically indistinguishable from their counterpart in adulthood. However, recent investigations indicate that differences occur at the molecular level, thus suggesting that the molecular path to gliomagenesis in childhood is distinct from that of adults. MicroRNAs (miRNAs) have been identified as key molecules in gene expression regulation, both in development and in cancer. miRNAs have been investigated in adult high-grade gliomas (aHGGs), but scant information is available for pHGGs. Methods: We explored the differences in microRNAs between pHGG and aHGG, in both fresh-frozen and paraffin-embedded tissue, by high-throughput miRNA profiling. We also evaluated the biological effects of miR-17-92 cluster silencing on a pHGG cell line. Results: Comparison of miRNA expression patterns in formalin versus frozen specimens resulted in high correlation between both types of samples. The analysis of miRNA profiling revealed a specific microRNA pattern in pHGG with an overexpression and a proliferative role of the miR-17-92 cluster. Moreover, we highlighted a possible quenching function of miR-17-92 cluster on its target gene PTEN, together with an activation of tumorigenic signaling such as sonic hedgehog in pHGG. Conclusions: Our results suggest that microRNA profiling represents a tool to distinguishing pediatric from adult HGG and that miR-17-92 cluster sustains pHGG.