| Title |
Identification of a Disease-Defining Gene Fusion in Epithelioid Hemangioendothelioma
|
|---|---|
| Published in |
Science Translational Medicine, August 2011
|
| DOI | 10.1126/scitranslmed.3002409 |
| Pubmed ID | |
| Authors |
Munir R. Tanas, Andrea Sboner, Andre M. Oliveira, Michele R. Erickson-Johnson, Jessica Hespelt, Philip J. Hanwright, John Flanagan, Yuling Luo, Kerry Fenwick, Rachael Natrajan, Costas Mitsopoulos, Marketa Zvelebil, Benjamin L. Hoch, Sharon W. Weiss, Maria Debiec-Rychter, Raf Sciot, Rob B. West, Alexander J. Lazar, Alan Ashworth, Jorge S. Reis-Filho, Christopher J. Lord, Mark B. Gerstein, Mark A. Rubin, Brian P. Rubin |
| Abstract |
Integrating transcriptomic sequencing with conventional cytogenetics, we identified WWTR1 (WW domain-containing transcription regulator 1) (3q25) and CAMTA1 (calmodulin-binding transcription activator 1) (1p36) as the two genes involved in the t(1;3)(p36;q25) chromosomal translocation that is characteristic of epithelioid hemangioendothelioma (EHE), a vascular sarcoma. This WWTR1/CAMTA1 gene fusion is under the transcriptional control of the WWTR1 promoter and encodes a putative chimeric transcription factor that joins the amino terminus of WWTR1, a protein that is highly expressed in endothelial cells, in-frame to the carboxyl terminus of CAMTA1, a protein that is normally expressed only in brain. Thus, CAMTA1 expression is activated inappropriately through a promoter-switch mechanism. The gene fusion is present in virtually all EHEs tested but is absent from all other vascular neoplasms, demonstrating it to be a disease-defining genetic alteration. A sensitive and specific break-apart fluorescence in situ hybridization assay was also developed to detect the translocation and will assist in the evaluation of this diagnostically challenging neoplasm. The chimeric WWTR1/CAMTA1 transcription factor may represent a therapeutic target for EHE and offers the opportunity to shed light on the functions of two poorly characterized proteins. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 25% |
| Australia | 2 | 6% |
| India | 2 | 6% |
| United Kingdom | 1 | 3% |
| Brazil | 1 | 3% |
| Nigeria | 1 | 3% |
| Turkey | 1 | 3% |
| South Africa | 1 | 3% |
| Italy | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 12 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 63% |
| Scientists | 8 | 25% |
| Practitioners (doctors, other healthcare professionals) | 4 | 13% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 3% |
| United Kingdom | 2 | 2% |
| Unknown | 114 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 28 | 23% |
| Student > Ph. D. Student | 21 | 18% |
| Other | 14 | 12% |
| Professor > Associate Professor | 11 | 9% |
| Student > Master | 10 | 8% |
| Other | 17 | 14% |
| Unknown | 19 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 33 | 28% |
| Agricultural and Biological Sciences | 27 | 23% |
| Biochemistry, Genetics and Molecular Biology | 25 | 21% |
| Engineering | 4 | 3% |
| Computer Science | 2 | 2% |
| Other | 5 | 4% |
| Unknown | 24 | 20% |