↓ Skip to main content

A Pan-Cancer Compendium of Genes Deregulated by Somatic Genomic Rearrangement across More Than 1,400 Cases

Overview of attention for article published in Cell Reports, July 2018
Altmetric Badge

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 (94th percentile)

Mentioned by

news
9 news outlets
blogs
1 blog
twitter
51 X users
facebook
2 Facebook pages
googleplus
1 Google+ user

Citations

dimensions_citation
71 Dimensions

Readers on

mendeley
136 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
A Pan-Cancer Compendium of Genes Deregulated by Somatic Genomic Rearrangement across More Than 1,400 Cases
Published in
Cell Reports, July 2018
DOI 10.1016/j.celrep.2018.06.025
Pubmed ID
Authors

Yiqun Zhang, Lixing Yang, Melanie Kucherlapati, Fengju Chen, Angela Hadjipanayis, Angeliki Pantazi, Christopher A. Bristow, Eunjung A. Lee, Harshad S. Mahadeshwar, Jiabin Tang, Jianhua Zhang, Sahil Seth, Semin Lee, Xiaojia Ren, Xingzhi Song, Huandong Sun, Jonathan Seidman, Lovelace J. Luquette, Ruibin Xi, Lynda Chin, Alexei Protopopov, Wei Li, Peter J. Park, Raju Kucherlapati, Chad J. Creighton

Abstract

A systematic cataloging of genes affected by genomic rearrangement, using multiple patient cohorts and cancer types, can provide insight into cancer-relevant alterations outside of exomes. By integrative analysis of whole-genome sequencing (predominantly low pass) and gene expression data from 1,448 cancers involving 18 histopathological types in The Cancer Genome Atlas, we identified hundreds of genes for which the nearby presence (within 100 kb) of a somatic structural variant (SV) breakpoint is associated with altered expression. While genomic rearrangements are associated with widespread copy-number alteration (CNA) patterns, approximately 1,100 genes-including overexpressed cancer driver genes (e.g., TERT, ERBB2, CDK12, CDK4) and underexpressed tumor suppressors (e.g., TP53, RB1, PTEN, STK11)-show SV-associated deregulation independent of CNA. SVs associated with the disruption of topologically associated domains, enhancer hijacking, or fusion transcripts are implicated in gene upregulation. For cancer-relevant pathways, SVs considerably expand our understanding of how genes are affected beyond point mutation or CNA.

X Demographics

X Demographics

The data shown below were collected from the profiles of 51 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 136 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 21%
Student > Ph. D. Student 27 20%
Student > Bachelor 16 12%
Student > Doctoral Student 7 5%
Other 6 4%
Other 22 16%
Unknown 30 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 47 35%
Agricultural and Biological Sciences 28 21%
Medicine and Dentistry 12 9%
Computer Science 5 4%
Engineering 3 2%
Other 7 5%
Unknown 34 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 105. 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 05 October 2018.
All research outputs
#401,574
of 25,385,509 outputs
Outputs from Cell Reports
#705
of 12,965 outputs
Outputs of similar age
#8,758
of 341,606 outputs
Outputs of similar age from Cell Reports
#18
of 308 outputs
Altmetric has tracked 25,385,509 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 12,965 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.3. This one has done particularly well, scoring higher than 94% 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 341,606 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 308 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.