| Title |
Oncogenic effects of miR-10b in glioblastoma stem cells
|
|---|---|
| Published in |
Journal of Neuro-Oncology, April 2013
|
| DOI | 10.1007/s11060-013-1047-0 |
| Pubmed ID | |
| Authors |
Fadila Guessous, Melissa Alvarado-Velez, Lukasz Marcinkiewicz, Ying Zhang, Jungeun Kim, Simon Heister, Benjamin Kefas, Jakub Godlewski, David Schiff, Benjamin Purow, Roger Abounader |
| Abstract |
MicroRNAs and cancer stem cells have emerged as critical players in glioblastoma, one of the deadliest human cancers. In this study, we investigated the expression and function of microRNA-10b in glioblastoma cells and stem cells. An analysis of The Cancer Genome Atlas data revealed a correlation between high miR-10b levels and poor prognosis in glioblastoma patients. We measured the levels of miR-10b and found that it is upregulated in human glioblastoma tissues, glioblastoma cell and stem cell lines as compared to normal human tissues or astrocytes. Inhibition of miR-10b with a specific antagomir inhibited the proliferation of glioblastoma established and stem cell lines. Inhibition of miR-10b strongly reduced cell invasion and migration in glioblastoma cell and stem cell lines while overexpression of miR-10b induced cell migration and invasion. We also investigated several predicted targets of miR-10b but could not verify any of them experimentally. Additionally, miR-10b inhibition significantly decreased the in vivo growth of stem cell-derived orthotopic GBM xenografts. Altogether, our findings confirm the oncogenic effects of miR-10b in GBM cells and show for the first time a role of this microRNA in GBM stem cells. Targeting miR-10b might therefore inhibit glioblastoma stem cells, which are thought to be at the origin of glioblastoma and to contribute its recurrence and resistance to therapy. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 1% |
| Unknown | 73 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 26% |
| Student > Master | 12 | 16% |
| Student > Bachelor | 10 | 14% |
| Researcher | 9 | 12% |
| Student > Doctoral Student | 4 | 5% |
| Other | 7 | 9% |
| Unknown | 13 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 16 | 22% |
| Biochemistry, Genetics and Molecular Biology | 13 | 18% |
| Medicine and Dentistry | 9 | 12% |
| Neuroscience | 8 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 5% |
| Other | 8 | 11% |
| Unknown | 16 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 13 January 2013.
All research outputs
#18,326,065
of 22,693,205 outputs
Outputs from Journal of Neuro-Oncology
#2,224
of 2,955 outputs
Outputs of similar age
#151,766
of 200,155 outputs
Outputs of similar age from Journal of Neuro-Oncology
#22
of 35 outputs
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