Title |
Targeting Netrin-1 in glioblastoma stem-like cells inhibits growth, invasion, and angiogenesis
|
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Published in |
Tumor Biology, September 2016
|
DOI | 10.1007/s13277-016-5314-5 |
Pubmed ID | |
Authors |
Tanwarat Sanvoranart, Aungkura Supokawej, Pakpoom Kheolamai, Yaowalak U-pratya, Niphon Poungvarin, Sith Sathornsumetee, Surapol Issaragrisil |
Abstract |
Glioblastoma (GBM) is an aggressive malignant brain tumor that still lacks effective therapy. Glioblastoma stem cells (GBM-SCs) were identified to contribute to aggressive phenotypes and poor clinical outcomes for GBM. Netrin-1, an axon guidance molecule, has been found in several tumors in adults. However, the role of Netrin-1 in GBM-SCs remains largely unknown. In this study, CD133-positive U251 GBM cells were used as a putative GBM-SC population to identify the functions of Netrin-1. Using lentiviral transduction, Netrin-1 miR RNAi vectors were transduced into CD133-positive U251 cells. We demonstrated that cell proliferation and survival were decreased following targeted deletion of Netrin-1. Cell invasion was dramatically diminished in Netrin-1 knockdown GBM-SCs. Moreover, Netrin-1 knockdown GBM-SCs exhibited less proangiogenic activity. In conclusion, Netrin-1 may represent a therapeutic target in glioblastoma. |
X Demographics
Geographical breakdown
Country | Count | As % |
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Unknown | 3 | 100% |
Demographic breakdown
Type | Count | As % |
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Science communicators (journalists, bloggers, editors) | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 6 | 21% |
Researcher | 6 | 21% |
Student > Ph. D. Student | 4 | 14% |
Student > Doctoral Student | 2 | 7% |
Professor | 2 | 7% |
Other | 3 | 10% |
Unknown | 6 | 21% |
Readers by discipline | Count | As % |
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Neuroscience | 6 | 21% |
Biochemistry, Genetics and Molecular Biology | 6 | 21% |
Medicine and Dentistry | 4 | 14% |
Agricultural and Biological Sciences | 1 | 3% |
Computer Science | 1 | 3% |
Other | 4 | 14% |
Unknown | 7 | 24% |