@article{3086556,
    title = "MicroRNA expression profiles in pediatric dysembryoplastic neuroepithelial tumors",
    author = "Braoudaki, M. and Lambrou, G.I. and Papadodima, S.A. and Stefanaki, K. and Prodromou, N. and Kanavakis, E.",
    journal = "Medical Oncology",
    year = "2016",
    volume = "33",
    number = "1",
    pages = "1-7",
    publisher = "Humana Press Inc.",
    issn = "1357-0560, 1559-131X",
    doi = "10.1007/s12032-015-0719-3",
    keywords = "biological marker;  microRNA;  microRNA 1909;  microRNA 3138;  unclassified drug;  untranslated RNA;  microRNA;  microRNA1909 microRNA, human;  microRNA3138 microRNA, human;  transcriptome;  tumor marker, Article;  child;  childhood cancer;  clinical article;  cohort analysis;  controlled study;  diagnostic test accuracy study;  diagnostic value;  down regulation;  dysembryoplastic neuroepithelial tumor;  false positive result;  female;  gene expression profiling;  genetic screening;  human;  human tissue;  male;  microarray analysis;  neuroepithelioma;  oncogene;  priority journal;  quantitative analysis;  real time polymerase chain reaction;  receiver operating characteristic;  RNA extraction;  sensitivity and specificity;  tumor suppressor gene;  upregulation;  area under the curve;  biosynthesis;  brain tumor;  DNA microarray;  genetics;  neuroepithelioma;  preschool child, Area Under Curve;  Biomarkers, Tumor;  Brain Neoplasms;  Child;  Child, Preschool;  Female;  Humans;  Male;  MicroRNAs;  Neoplasms, Neuroepithelial;  Oligonucleotide Array Sequence Analysis;  Real-Time Polymerase Chain Reaction;  ROC Curve;  Transcriptome",
    abstract = "Among noncoding RNAs, microRNAs (miRNAs) have been most extensively studied, and their biology has repeatedly been proven critical for central nervous system pathological conditions. The diagnostic value of several miRNAs was appraised in pediatric dysembryoplastic neuroepithelial tumors (DNETs) using miRNA microarrays and receiving operating characteristic curves analyses. Overall, five pediatric DNETs were studied. As controls, 17 samples were used: the FirstChoice Human Brain Reference RNA and 16 samples from deceased children who underwent autopsy and were not present with any brain malignancy. The miRNA extraction was carried out using the mirVANA miRNA Isolation Kit, while the experimental approach included miRNA microarrays covering 1211 miRNAs. Quantitative real-time polymerase chain reaction was performed to validate the expression profiles of miR-1909* and miR-3138 in all samples initially screened with miRNA microarrays. Our findings indicated that miR-3138 might act as a tumor suppressor gene when down-regulated and miR-1909* as a putative oncogenic molecule when up-regulated in pediatric DNETs compared to the control cohort. Subsequently, both miRNA signatures might serve as putative diagnostic biomarkers for pediatric DNETs. © 2015, Springer Science+Business Media New York."
}