Title |
VAV3 mediates resistance to breast cancer endocrine therapy
|
---|---|
Published in |
Breast Cancer Research, May 2014
|
DOI | 10.1186/bcr3664 |
Pubmed ID | |
Authors |
Helena Aguilar, Ander Urruticoechea, Pasi Halonen, Kazuma Kiyotani, Taisei Mushiroda, Xavier Barril, Jordi Serra-Musach, Abul Islam, Livia Caizzi, Luciano Di Croce, Ekaterina Nevedomskaya, Wilbert Zwart, Josefine Bostner, Elin Karlsson, Gizeh Pérez Tenorio, Tommy Fornander, Dennis C Sgroi, Rafael Garcia-Mata, Maurice PHM Jansen, Nadia García, Núria Bonifaci, Fina Climent, María Teresa Soler, Alejo Rodríguez-Vida, Miguel Gil, Joan Brunet, Griselda Martrat, Laia Gómez-Baldó, Ana I Extremera, Agnes Figueras, Josep Balart, Robert Clarke, Kerry L Burnstein, Kathryn E Carlson, John A Katzenellenbogen, Miguel Vizoso, Manel Esteller, Alberto Villanueva, Ana B Rodríguez-Peña, Xosé R Bustelo, Yusuke Nakamura, Hitoshi Zembutsu, Olle Stål, Roderick L Beijersbergen, Miguel Angel Pujana |
Abstract |
Endocrine therapies targeting cell proliferation and survival mediated by estrogen receptor α (ERα) are among the most effective systemic treatments for ERα-positive breast cancer. However, most tumors initially responsive to these therapies acquire resistance through mechanisms that involve ERα transcriptional regulatory plasticity. Herein we identify VAV3 as a critical component in this process. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 4 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 3 | 4% |
United Kingdom | 1 | 1% |
Netherlands | 1 | 1% |
United States | 1 | 1% |
Unknown | 74 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 15% |
Student > Ph. D. Student | 10 | 13% |
Student > Master | 8 | 10% |
Professor | 7 | 9% |
Student > Bachelor | 7 | 9% |
Other | 16 | 20% |
Unknown | 20 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 16 | 20% |
Biochemistry, Genetics and Molecular Biology | 14 | 18% |
Medicine and Dentistry | 13 | 16% |
Computer Science | 3 | 4% |
Chemistry | 3 | 4% |
Other | 8 | 10% |
Unknown | 23 | 29% |