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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrative genomic profiling of large-cell neuroendocrine carcinomas reveals distinct subtypes of high-grade neuroendocrine lung tumors
|
|---|---|
| Published in |
Nature Communications, March 2018
|
| DOI | 10.1038/s41467-018-03099-x |
| Pubmed ID | |
| Authors |
Julie George, Vonn Walter, Martin Peifer, Ludmil B. Alexandrov, Danila Seidel, Frauke Leenders, Lukas Maas, Christian Müller, Ilona Dahmen, Tiffany M. Delhomme, Maude Ardin, Noemie Leblay, Graham Byrnes, Ruping Sun, Aurélien De Reynies, Anne McLeer-Florin, Graziella Bosco, Florian Malchers, Roopika Menon, Janine Altmüller, Christian Becker, Peter Nürnberg, Viktor Achter, Ulrich Lang, Peter M. Schneider, Magdalena Bogus, Matthew G. Soloway, Matthew D. Wilkerson, Yupeng Cun, James D. McKay, Denis Moro-Sibilot, Christian G. Brambilla, Sylvie Lantuejoul, Nicolas Lemaitre, Alex Soltermann, Walter Weder, Verena Tischler, Odd Terje Brustugun, Marius Lund-Iversen, Åslaug Helland, Steinar Solberg, Sascha Ansén, Gavin Wright, Benjamin Solomon, Luca Roz, Ugo Pastorino, Iver Petersen, Joachim H. Clement, Jörg Sänger, Jürgen Wolf, Martin Vingron, Thomas Zander, Sven Perner, William D. Travis, Stefan A. Haas, Magali Olivier, Matthieu Foll, Reinhard Büttner, David Neil Hayes, Elisabeth Brambilla, Lynnette Fernandez-Cuesta, Roman K. Thomas |
| Abstract |
Pulmonary large-cell neuroendocrine carcinomas (LCNECs) have similarities with other lung cancers, but their precise relationship has remained unclear. Here we perform a comprehensive genomic (n = 60) and transcriptomic (n = 69) analysis of 75 LCNECs and identify two molecular subgroups: "type I LCNECs" with bi-allelic TP53 and STK11/KEAP1 alterations (37%), and "type II LCNECs" enriched for bi-allelic inactivation of TP53 and RB1 (42%). Despite sharing genomic alterations with adenocarcinomas and squamous cell carcinomas, no transcriptional relationship was found; instead LCNECs form distinct transcriptional subgroups with closest similarity to SCLC. While type I LCNECs and SCLCs exhibit a neuroendocrine profile with ASCL1high/DLL3high/NOTCHlow, type II LCNECs bear TP53 and RB1 alterations and differ from most SCLC tumors with reduced neuroendocrine markers, a pattern of ASCL1low/DLL3low/NOTCHhigh, and an upregulation of immune-related pathways. In conclusion, LCNECs comprise two molecularly defined subgroups, and distinguishing them from SCLC may allow stratified targeted treatment of high-grade neuroendocrine lung tumors. |
X Demographics
The data shown below were collected from the profiles of 47 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 14 | 30% |
| United Kingdom | 3 | 6% |
| Spain | 3 | 6% |
| France | 3 | 6% |
| Sweden | 1 | 2% |
| Switzerland | 1 | 2% |
| Ireland | 1 | 2% |
| Portugal | 1 | 2% |
| New Zealand | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 19 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 25 | 53% |
| Scientists | 12 | 26% |
| Practitioners (doctors, other healthcare professionals) | 8 | 17% |
| Science communicators (journalists, bloggers, editors) | 2 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 208 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 208 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 44 | 21% |
| Student > Ph. D. Student | 26 | 13% |
| Other | 17 | 8% |
| Student > Master | 14 | 7% |
| Student > Doctoral Student | 9 | 4% |
| Other | 27 | 13% |
| Unknown | 71 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 50 | 24% |
| Biochemistry, Genetics and Molecular Biology | 43 | 21% |
| Agricultural and Biological Sciences | 13 | 6% |
| Immunology and Microbiology | 5 | 2% |
| Computer Science | 4 | 2% |
| Other | 11 | 5% |
| Unknown | 82 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 23 April 2023.
All research outputs
#1,128,241
of 25,765,370 outputs
Outputs from Nature Communications
#17,853
of 58,371 outputs
Outputs of similar age
#25,087
of 352,997 outputs
Outputs of similar age from Nature Communications
#463
of 1,225 outputs
Altmetric has tracked 25,765,370 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 58,371 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 55.4. This one has gotten more attention than average, scoring higher than 69% of its peers.
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 352,997 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 1,225 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.