Title |
Structural Decoding of the Netrin-1/UNC5 Interaction and its Therapeutical Implications in Cancers
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Published in |
Cancer Cell, February 2016
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DOI | 10.1016/j.ccell.2016.01.001 |
Pubmed ID | |
Authors |
Mélodie Grandin, Markus Meier, Jean Guy Delcros, Denise Nikodemus, Raphael Reuten, Trushar R. Patel, David Goldschneider, George Orriss, Natalie Krahn, Amina Boussouar, Riad Abes, Yann Dean, David Neves, Agnes Bernet, Stephane Depil, Fiona Schneiders, Kate Poole, Robert Dante, Manuel Koch, Patrick Mehlen, Jörg Stetefeld |
Abstract |
Netrin-1 has been shown to be up-regulated in a fraction of human cancers as a mechanism to allow these tumors to escape the pro-apoptotic activity of some of its main dependence receptors, the UNC5 homologs (UNC5H). Here we identify the V-2 domain of netrin-1 to be important for its interaction with the Ig1/Ig2 domains of UNC5H2. We generate a humanized anti-netrin-1 antibody that disrupts the interaction between netrin-1 and UNC5H2 and triggers death of netrin-1-expressing tumor cells in vitro. We also present evidence that combining the anti-netrin-1 antibody with epidrugs such as decitabine could be effective in treating tumors showing no or modest netrin-1 expression. These results support that this antibody is a promising drug candidate. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 2 | 40% |
United States | 1 | 20% |
Brazil | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 1 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | <1% |
Canada | 1 | <1% |
Unknown | 119 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 22 | 18% |
Researcher | 19 | 16% |
Student > Bachelor | 13 | 11% |
Other | 10 | 8% |
Student > Master | 7 | 6% |
Other | 21 | 17% |
Unknown | 29 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 28 | 23% |
Agricultural and Biological Sciences | 19 | 16% |
Medicine and Dentistry | 11 | 9% |
Chemistry | 7 | 6% |
Neuroscience | 4 | 3% |
Other | 18 | 15% |
Unknown | 34 | 28% |