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Comprehensive genomic profiles of small cell lung cancer

Overview of attention for article published in Nature, July 2015
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • Good Attention Score compared to outputs of the same age and source (73rd percentile)

Citations

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1651 Dimensions

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1233 Mendeley
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5 CiteULike
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Title
Comprehensive genomic profiles of small cell lung cancer
Published in
Nature, July 2015
DOI 10.1038/nature14664
Pubmed ID
Authors

Julie George, Jing Shan Lim, Se Jin Jang, Yupeng Cun, Luka Ozretić, Gu Kong, Frauke Leenders, Xin Lu, Lynnette Fernández-Cuesta, Graziella Bosco, Christian Müller, Ilona Dahmen, Nadine S. Jahchan, Kwon-Sik Park, Dian Yang, Anthony N. Karnezis, Dedeepya Vaka, Angela Torres, Maia Segura Wang, Jan O. Korbel, Roopika Menon, Sung-Min Chun, Deokhoon Kim, Matt Wilkerson, Neil Hayes, David Engelmann, Brigitte Pützer, Marc Bos, Sebastian Michels, Ignacija Vlasic, Danila Seidel, Berit Pinther, Philipp Schaub, Christian Becker, Janine Altmüller, Jun Yokota, Takashi Kohno, Reika Iwakawa, Koji Tsuta, Masayuki Noguchi, Thomas Muley, Hans Hoffmann, Philipp A. Schnabel, Iver Petersen, Yuan Chen, Alex Soltermann, Verena Tischler, Chang-min Choi, Yong-Hee Kim, Pierre P. Massion, Yong Zou, Dragana Jovanovic, Milica Kontic, Gavin M. Wright, Prudence A. Russell, Benjamin Solomon, Ina Koch, Michael Lindner, Lucia A. Muscarella, Annamaria la Torre, John K. Field, Marko Jakopovic, Jelena Knezevic, Esmeralda Castaños-Vélez, Luca Roz, Ugo Pastorino, Odd-Terje Brustugun, Marius Lund-Iversen, Erik Thunnissen, Jens Köhler, Martin Schuler, Johan Botling, Martin Sandelin, Montserrat Sanchez-Cespedes, Helga B. Salvesen, Viktor Achter, Ulrich Lang, Magdalena Bogus, Peter M. Schneider, Thomas Zander, Sascha Ansén, Michael Hallek, Jürgen Wolf, Martin Vingron, Yasushi Yatabe, William D. Travis, Peter Nürnberg, Christian Reinhardt, Sven Perner, Lukas Heukamp, Reinhard Büttner, Stefan A. Haas, Elisabeth Brambilla, Martin Peifer, Julien Sage, Roman K. Thomas

Abstract

We have sequenced the genomes of 110 small cell lung cancers (SCLC), one of the deadliest human cancers. In nearly all the tumours analysed we found bi-allelic inactivation of TP53 and RB1, sometimes by complex genomic rearrangements. Two tumours with wild-type RB1 had evidence of chromothripsis leading to overexpression of cyclin D1 (encoded by the CCND1 gene), revealing an alternative mechanism of Rb1 deregulation. Thus, loss of the tumour suppressors TP53 and RB1 is obligatory in SCLC. We discovered somatic genomic rearrangements of TP73 that create an oncogenic version of this gene, TP73Δex2/3. In rare cases, SCLC tumours exhibited kinase gene mutations, providing a possible therapeutic opportunity for individual patients. Finally, we observed inactivating mutations in NOTCH family genes in 25% of human SCLC. Accordingly, activation of Notch signalling in a pre-clinical SCLC mouse model strikingly reduced the number of tumours and extended the survival of the mutant mice. Furthermore, neuroendocrine gene expression was abrogated by Notch activity in SCLC cells. This first comprehensive study of somatic genome alterations in SCLC uncovers several key biological processes and identifies candidate therapeutic targets in this highly lethal form of cancer.

X Demographics

X Demographics

The data shown below were collected from the profiles of 132 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,233 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 <1%
United Kingdom 5 <1%
Germany 2 <1%
India 2 <1%
Switzerland 1 <1%
Japan 1 <1%
Canada 1 <1%
Unknown 1213 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 231 19%
Student > Ph. D. Student 212 17%
Student > Master 104 8%
Student > Bachelor 100 8%
Other 72 6%
Other 197 16%
Unknown 317 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 305 25%
Medicine and Dentistry 233 19%
Agricultural and Biological Sciences 171 14%
Computer Science 28 2%
Immunology and Microbiology 26 2%
Other 122 10%
Unknown 348 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 183. 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 28 February 2024.
All research outputs
#221,466
of 25,559,053 outputs
Outputs from Nature
#12,925
of 98,240 outputs
Outputs of similar age
#2,190
of 276,372 outputs
Outputs of similar age from Nature
#257
of 964 outputs
Altmetric has tracked 25,559,053 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,240 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.6. This one has done well, scoring higher than 86% 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 276,372 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 99% of its contemporaries.
We're also able to compare this research output to 964 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 73% of its contemporaries.