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Negative selection in tumor genome evolution acts on essential cellular functions and the immunopeptidome

Overview of attention for article published in Genome Biology, May 2018
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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 (96th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Citations

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90 Dimensions

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mendeley
143 Mendeley
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2 CiteULike
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Title
Negative selection in tumor genome evolution acts on essential cellular functions and the immunopeptidome
Published in
Genome Biology, May 2018
DOI 10.1186/s13059-018-1434-0
Pubmed ID
Authors

Luis Zapata, Oriol Pich, Luis Serrano, Fyodor A. Kondrashov, Stephan Ossowski, Martin H. Schaefer

Abstract

Natural selection shapes cancer genomes. Previous studies used signatures of positive selection to identify genes driving malignant transformation. However, the contribution of negative selection against somatic mutations that affect essential tumor functions or specific domains remains a controversial topic. Here, we analyze 7546 individual exomes from 26 tumor types from TCGA data to explore the portion of the cancer exome under negative selection. Although we find most of the genes neutrally evolving in a pan-cancer framework, we identify essential cancer genes and immune-exposed protein regions under significant negative selection. Moreover, our simulations suggest that the amount of negative selection is underestimated. We therefore choose an empirical approach to identify genes, functions, and protein regions under negative selection. We find that expression and mutation status of negatively selected genes is indicative of patient survival. Processes that are most strongly conserved are those that play fundamental cellular roles such as protein synthesis, glucose metabolism, and molecular transport. Intriguingly, we observe strong signals of selection in the immunopeptidome and proteins controlling peptide exposition, highlighting the importance of immune surveillance evasion. Additionally, tumor type-specific immune activity correlates with the strength of negative selection on human epitopes. In summary, our results show that negative selection is a hallmark of cell essentiality and immune response in cancer. The functional domains identified could be exploited therapeutically, ultimately allowing for the development of novel cancer treatments.

X Demographics

X Demographics

The data shown below were collected from the profiles of 70 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 143 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 143 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 27%
Researcher 30 21%
Student > Bachelor 18 13%
Student > Master 10 7%
Student > Postgraduate 7 5%
Other 11 8%
Unknown 28 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 45 31%
Agricultural and Biological Sciences 34 24%
Medicine and Dentistry 11 8%
Immunology and Microbiology 5 3%
Computer Science 5 3%
Other 11 8%
Unknown 32 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 80. 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 26 October 2022.
All research outputs
#535,709
of 25,382,440 outputs
Outputs from Genome Biology
#310
of 4,468 outputs
Outputs of similar age
#11,860
of 344,075 outputs
Outputs of similar age from Genome Biology
#4
of 36 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,468 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done particularly well, scoring higher than 93% 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 344,075 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 96% of its contemporaries.
We're also able to compare this research output to 36 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.