| Title |
Comprehensive analysis of the transcriptional profile of the Mediator complex across human cancer types
|
|---|---|
| Published in |
Oncotarget, March 2016
|
| DOI | 10.18632/oncotarget.8469 |
| Pubmed ID | |
| Authors |
Isabella Syring, Niklas Klümper, Anne Offermann, Martin Braun, Mario Deng, Diana Boehm, Angela Queisser, Anne von Mässenhausen, Johannes Brägelmann, Wenzel Vogel, Doris Schmidt, Michael Majores, Anne Schindler, Glen Kristiansen, Stefan C. Müller, Jörg Ellinger, David Adler, Sven Perner |
| Abstract |
The Mediator complex is a key regulator of gene transcription and several studies demonstrated altered expressions of particular subunits in diverse human diseases, especially cancer. However a systematic study deciphering the transcriptional expression of the Mediator across different cancer entities is still lacking.We therefore performed a comprehensive in silico cancer vs. benign analysis of the Mediator complex subunits (MEDs) for 20 tumor entities using Oncomine datasets. The transcriptional expression profiles across almost all cancer entities showed differentially expressed MEDs as compared to benign tissue. Differential expression of MED8 in renal cell carcinoma (RCC) and MED12 in lung cancer (LCa) were validated and further investigated by immunohistochemical staining on tissue microarrays containing large numbers of specimen. MED8 in clear cell RCC (ccRCC) associated with shorter survival and advanced TNM stage and showed higher expression in metastatic than primary tumors. In vitro, siRNA mediated MED8 knockdown significantly impaired proliferation and motility in ccRCC cell lines, hinting at a role for MED8 to serve as a novel therapeutic target in ccRCC. Taken together, our Mediator complex transcriptome proved to be a valid tool for identifying cancer-related shifts in Mediator complex composition, revealing that MEDs do exhibit cancer specific transcriptional expression profiles. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 17% |
| Researcher | 5 | 17% |
| Student > Ph. D. Student | 5 | 17% |
| Student > Doctoral Student | 4 | 14% |
| Student > Bachelor | 3 | 10% |
| Other | 3 | 10% |
| Unknown | 4 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 24% |
| Medicine and Dentistry | 7 | 24% |
| Computer Science | 2 | 7% |
| Agricultural and Biological Sciences | 2 | 7% |
| Nursing and Health Professions | 1 | 3% |
| Other | 5 | 17% |
| Unknown | 5 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 24. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 24 April 2018.
All research outputs
#1,366,964
of 22,860,626 outputs
Outputs from Oncotarget
#619
of 14,326 outputs
Outputs of similar age
#25,060
of 300,647 outputs
Outputs of similar age from Oncotarget
#16
of 1,306 outputs
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