miR-33a promotes glioma-initiating cell self-renewal via PKA and NOTCH pathways.

Journal Article

Glioblastoma (GBM) is the most common and lethal brain tumor in adults. Glioma-initiating cells (GICs) are stem-like cells that have been implicated in glioblastoma progression and recurrence; however, the distinct properties of GICs and non-GICs within GBM tumors are largely uncharacterized. Here, we evaluated stem cell-associated microRNA (miR) expression in GICs from GBM patients and GICs derived from xenografted human glioma cell lines and determined that miR-33a promotes GIC growth and self-renewal. Moreover, evaluation of a GBM tissue array revealed that higher miR-33a expression was associated with poor prognosis of GBM patients. Antagonizing miR-33a function in GICs reduced self-renewal and tumor progression in immune-compromised mice, whereas overexpression of miR-33a in non-GICs promoted the display of features associated with GICs. We identified the mRNAs encoding phosphodiesterase 8A (PDE8A) and UV radiation resistance-associated gene (UVRAG) as direct miR-33a targets. PDE8A and UVRAG negatively regulated the cAMP/PKA and NOTCH pathways, respectively; therefore, miR-33a-dependent reduction of these proteins promoted growth and self-renewal of GICs by enhancing PKA and NOTCH activity. Furthermore, in GBM specimens, there was an inverse correlation between the expression levels of miR-33a and PDE8A and UVRAG expression. These findings reveal a miR-33a-centered signaling network that promotes GIC maintenance and has potential as a therapeutic target for GBM treatment.

Full Text

Duke Authors

Cited Authors

  • Wang, H; Sun, T; Hu, J; Zhang, R; Rao, Y; Wang, S; Chen, R; McLendon, RE; Friedman, AH; Keir, ST; Bigner, DD; Li, Q-J; Wang, H; Wang, X-F

Published Date

  • October 2014

Published In

Volume / Issue

  • 124 / 10

Start / End Page

  • 4489 - 4502

PubMed ID

  • 25202981

Electronic International Standard Serial Number (EISSN)

  • 1558-8238

International Standard Serial Number (ISSN)

  • 0021-9738

Digital Object Identifier (DOI)

  • 10.1172/jci75284

Language

  • eng