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MicroRNAs-Proteomic Networks Characterizing Human Medulloblastoma-SLCs

  • Giuseppina Catanzaro
  • , Zein Mersini Besharat
  • , Neha Garg
  • , Maurizio Ronci
  • , Luisa Pieroni
  • , Evelina Miele
  • , Angela Mastronuzzi
  • , Andrea Carai
  • , Vincenzo Alfano
  • , Agnese Po
  • , Isabella Screpanti
  • , Franco Locatelli
  • , Andrea Urbani
  • , Elisabetta Ferretti*
  • *Corresponding author
  • University of Rome La Sapienza
  • Sapienza University
  • Gabriele d'Annunzio University
  • Santa Lucia IRCCS Foundation
  • University of South Australia
  • University of Rome Tor Vergata
  • Italian Institute of Technology
  • IRCCS Ospedale pediatrico Bambino Gesù - Roma

Research output: Contribution to journalArticle

Abstract

Medulloblastoma (MB) is the most common malignant brain tumor of pediatric age and is characterized by cells expressing stem, astroglial, and neuronal markers. Among them, stem-like cells (hMB-SLCs) represent a fraction of the tumor cell population with the potential of self-renewal and proliferation and have been associated with tumor poor prognosis. In this context, microRNAs have been described as playing a pivotal role in stem cells differentiation. In our paper, we analyze microRNAs profile and genes expression of hMB-SLCs before and after Retinoic Acid- (RA-) induced differentiation. We aimed to identify pivotal players of specific pathways sustaining stemness and/or tumor development and progression and integrate the results of our recent proteomic study. Our results uncovered 22 differentially expressed microRNAs that were used as input together with deregulated genes and proteins in the Genomatix Pathway System (GePS) analysis revealing 3 subnetworks that could be interestingly involved in the maintenance of hMB-SLCs proliferation. Taken together, our findings highlight microRNAs, genes, and proteins that are significantly modulated in hMB-SLCs with respect to their RA-differentiated counterparts and could open new perspectives for prognostic and therapeutic intervention on MB.
Original languageEnglish
Pages (from-to)1-10
Number of pages10
JournalStem Cells International
Volume2016
Issue numberN/A
DOIs
Publication statusPublished - 2016

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

All Science Journal Classification (ASJC) codes

  • Molecular Biology
  • Cell Biology

Keywords

  • CANCER STEM-CELLS
  • CYCLIN-E

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