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Conditional Selection of Genomic Alterations Dictates Cancer Evolution and Oncogenic Dependencies

Overview of attention for article published in Cancer Cell, July 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

Mentioned by

news
7 news outlets
twitter
109 X users
patent
1 patent
facebook
2 Facebook pages

Citations

dimensions_citation
95 Dimensions

Readers on

mendeley
329 Mendeley
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Title
Conditional Selection of Genomic Alterations Dictates Cancer Evolution and Oncogenic Dependencies
Published in
Cancer Cell, July 2017
DOI 10.1016/j.ccell.2017.06.010
Pubmed ID
Authors

Marco Mina, Franck Raynaud, Daniele Tavernari, Elena Battistello, Stephanie Sungalee, Sadegh Saghafinia, Titouan Laessle, Francisco Sanchez-Vega, Nikolaus Schultz, Elisa Oricchio, Giovanni Ciriello

Abstract

Cancer evolves through the emergence and selection of molecular alterations. Cancer genome profiling has revealed that specific events are more or less likely to be co-selected, suggesting that the selection of one event depends on the others. However, the nature of these evolutionary dependencies and their impact remain unclear. Here, we designed SELECT, an algorithmic approach to systematically identify evolutionary dependencies from alteration patterns. By analyzing 6,456 genomes from multiple tumor types, we constructed a map of oncogenic dependencies associated with cellular pathways, transcriptional readouts, and therapeutic response. Finally, modeling of cancer evolution shows that alteration dependencies emerge only under conditional selection. These results provide a framework for the design of strategies to predict cancer progression and therapeutic response.

X Demographics

X Demographics

The data shown below were collected from the profiles of 109 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 329 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 329 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 91 28%
Student > Ph. D. Student 67 20%
Student > Master 25 8%
Other 20 6%
Student > Doctoral Student 16 5%
Other 49 15%
Unknown 61 19%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 102 31%
Agricultural and Biological Sciences 61 19%
Medicine and Dentistry 39 12%
Computer Science 13 4%
Immunology and Microbiology 12 4%
Other 32 10%
Unknown 70 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 112. 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 29 September 2022.
All research outputs
#381,254
of 25,736,439 outputs
Outputs from Cancer Cell
#223
of 3,181 outputs
Outputs of similar age
#7,964
of 328,215 outputs
Outputs of similar age from Cancer Cell
#6
of 37 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,181 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 37.7. This one has done particularly well, scoring higher than 92% 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 328,215 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 97% of its contemporaries.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.