MicroRNA expression profiles in pediatric dysembryoplastic neuroepithelial tumors.

Maria Braoudaki, Lambrou, Papadodima, Stefanaki, Prodromou, Kanavakis

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)
23 Downloads (Pure)

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.
Original languageEnglish
Pages (from-to)1-7
Number of pages7
JournalMedical Oncology
Volume33
Issue number5
Early online date23 Dec 2015
DOIs
Publication statusPublished - 30 Jan 2016

Keywords

  • pediatric
  • brain tumours
  • microRNA
  • microarrays
  • qRT-PCR
  • Biomarkers
  • ROC curves

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