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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recurrent chromosomal gains and heterogeneous driver mutations characterise papillary renal cancer evolution
|
|---|---|
| Published in |
Nature Communications, March 2015
|
| DOI | 10.1038/ncomms7336 |
| Pubmed ID | |
| Authors |
Michal Kovac, Carolina Navas, Stuart Horswell, Max Salm, Chiara Bardella, Andrew Rowan, Mark Stares, Francesc Castro-Giner, Rosalie Fisher, Elza C. de Bruin, Monika Kovacova, Maggie Gorman, Seiko Makino, Jennet Williams, Emma Jaeger, Angela Jones, Kimberley Howarth, James Larkin, Lisa Pickering, Martin Gore, David L. Nicol, Steven Hazell, Gordon Stamp, Tim O’Brien, Ben Challacombe, Nik Matthews, Benjamin Phillimore, Sharmin Begum, Adam Rabinowitz, Ignacio Varela, Ashish Chandra, Catherine Horsfield, Alexander Polson, Maxine Tran, Rupesh Bhatt, Luigi Terracciano, Serenella Eppenberger-Castori, Andrew Protheroe, Eamonn Maher, Mona El Bahrawy, Stewart Fleming, Peter Ratcliffe, Karl Heinimann, Charles Swanton, Ian Tomlinson |
| Abstract |
Papillary renal cell carcinoma (pRCC) is an important subtype of kidney cancer with a problematic pathological classification and highly variable clinical behaviour. Here we sequence the genomes or exomes of 31 pRCCs, and in four tumours, multi-region sequencing is undertaken. We identify BAP1, SETD2, ARID2 and Nrf2 pathway genes (KEAP1, NHE2L2 and CUL3) as probable drivers, together with at least eight other possible drivers. However, only ~10% of tumours harbour detectable pathogenic changes in any one driver gene, and where present, the mutations are often predicted to be present within cancer sub-clones. We specifically detect parallel evolution of multiple SETD2 mutations within different sub-regions of the same tumour. By contrast, large copy number gains of chromosomes 7, 12, 16 and 17 are usually early, monoclonal changes in pRCC evolution. The predominance of large copy number variants as the major drivers for pRCC highlights an unusual mode of tumorigenesis that may challenge precision medicine approaches. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 1 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 117 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Spain | 1 | <1% |
| France | 1 | <1% |
| Switzerland | 1 | <1% |
| Unknown | 113 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 26 | 22% |
| Student > Ph. D. Student | 24 | 21% |
| Student > Bachelor | 12 | 10% |
| Student > Doctoral Student | 9 | 8% |
| Professor > Associate Professor | 8 | 7% |
| Other | 26 | 22% |
| Unknown | 12 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 29 | 25% |
| Agricultural and Biological Sciences | 28 | 24% |
| Medicine and Dentistry | 23 | 20% |
| Social Sciences | 3 | 3% |
| Computer Science | 3 | 3% |
| Other | 8 | 7% |
| Unknown | 23 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 16 August 2015.
All research outputs
#12,725,419
of 22,796,179 outputs
Outputs from Nature Communications
#37,474
of 46,926 outputs
Outputs of similar age
#117,499
of 263,733 outputs
Outputs of similar age from Nature Communications
#543
of 762 outputs
Altmetric has tracked 22,796,179 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 46,926 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.6. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 263,733 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 762 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.