Title |
Estrogen-Dependent Signaling in a Molecularly Distinct Subclass of Aggressive Prostate Cancer
|
---|---|
Published in |
JNCI: Journal of the National Cancer Institute, June 2008
|
DOI | 10.1093/jnci/djn150 |
Pubmed ID | |
Authors |
Sunita R. Setlur, Kirsten D. Mertz, Yujin Hoshida, Francesca Demichelis, Mathieu Lupien, Sven Perner, Andrea Sboner, Yudi Pawitan, Ove Andrén, Laura A. Johnson, Jeff Tang, Hans-Olov Adami, Stefano Calza, Arul M. Chinnaiyan, Daniel Rhodes, Scott Tomlins, Katja Fall, Lorelei A. Mucci, Philip W. Kantoff, Meir J. Stampfer, Swen-Olof Andersson, Eberhard Varenhorst, Jan-Erik Johansson, Myles Brown, Todd R. Golub, Mark A. Rubin |
Abstract |
The majority of prostate cancers harbor gene fusions of the 5'-untranslated region of the androgen-regulated transmembrane protease serine 2 (TMPRSS2) promoter with erythroblast transformation-specific transcription factor family members. The common fusion between TMPRESS2 and v-ets erythroblastosis virus E26 oncogene homolog (avian) (ERG) is associated with a more aggressive clinical phenotype, implying the existence of a distinct subclass of prostate cancer defined by this fusion. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 22% |
Switzerland | 2 | 22% |
United States | 1 | 11% |
Unknown | 4 | 44% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 44% |
Scientists | 3 | 33% |
Practitioners (doctors, other healthcare professionals) | 1 | 11% |
Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 4% |
Germany | 1 | <1% |
Canada | 1 | <1% |
Brazil | 1 | <1% |
Unknown | 140 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 30 | 20% |
Researcher | 27 | 18% |
Professor > Associate Professor | 17 | 11% |
Student > Bachelor | 13 | 9% |
Other | 12 | 8% |
Other | 30 | 20% |
Unknown | 20 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 41 | 28% |
Medicine and Dentistry | 34 | 23% |
Biochemistry, Genetics and Molecular Biology | 29 | 19% |
Chemistry | 5 | 3% |
Computer Science | 4 | 3% |
Other | 10 | 7% |
Unknown | 26 | 17% |