A MiRNA Signature for Defining Aggressive Phenotype and Prognosis in Gliomas

• DOI: 10.1371/journal.pone.0108950
• Publication Date: 2014-10-03T17:52:15Z
• Authors: Raffaela Barbano; Orazio Palumbo; Barbara Pasculli; Marco Galasso; Stefano Volinia; Vincenzo D'Angelo; Nadia Icolaro; Michelina Coco; Lucia Dimitri; Paolo Graziano; Massimiliano Copetti; Vanna Maria Valori; Evaristo Maiello; Massimo Carella; Vito Michele Fazio; Paola Parrella
• Keywords: Adult; Male; Science; Adult; Aged; Biomarkers, Tumor; Brain Neoplasms; Female; Gene Expression Profiling; Gene Expression Regulation, Neoplastic; Glioma; Humans; Male; MicroRNAs; Middle Aged; Neoplasm Invasiveness; Phenotype; Prognosis; Agricultural and Biological Sciences (all); Biochemistry, Genetics and Molecular Biology (all); Medicine (all); 03 medical and health sciences; 0302 clinical medicine; Biomarkers, Tumor; Humans; Neoplasm Invasiveness; Aged; Brain Neoplasms; Gene Expression Profiling; Q; R; Glioma; Middle Aged; Prognosis; 3. Good health; Gene Expression Regulation, Neoplastic; MicroRNAs; Phenotype; Medicine; Female; miRNA; glioma; prognosis; Research Article

Gliomas represent a disparate group of tumours for which there are to date no cure. Thus, is recognized need new diagnostic and therapeutic approaches based on increased understanding their molecular nature. We performed the comparison microRNA (miRNA) profile 8 WHO grade II gliomas 24 higher (2 III 22 glioblastomas) by using Affymetrix GeneChip miRNA Array v. 1.0. A relative quantification method (RT-qPCR) with standard curve was used confirm signature resulted array analysis. The prognostic performances confirmed miRNAs were estimated Tumor Cancer Genome Atlas (TCGA) datasets. identified distinguishing from tumours. RT-qPCR differential expression in two patients' groups 13 out miRNAs. analysis Glioblastoma Multiforme (GBM) Lower Grade Glioma (LGG) datasets TCGA demonstrated association prognosis 6 those Moreover, GBM dataset miR-21 miR-210 predictors worse both univariable multivariable Cox regression analyses (HR 1.19, p = 0.04, HR 1.18, 0.029 respectively). Our results support direct contribution glioma cancerogenesis suggest that may play role aggressive clinical behaviour glioblastomas.