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A cluster of cooperating tumor-suppressor gene candidates in chromosomal deletions

Overview of attention for article published in Proceedings of the National Academy of Sciences of the United States of America, May 2012
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

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1 news outlet
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4 X users
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1 patent
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1 research highlight platform

Citations

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128 Dimensions

Readers on

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151 Mendeley
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1 CiteULike
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Title
A cluster of cooperating tumor-suppressor gene candidates in chromosomal deletions
Published in
Proceedings of the National Academy of Sciences of the United States of America, May 2012
DOI 10.1073/pnas.1206062109
Pubmed ID
Authors

Wen Xue, Thomas Kitzing, Stephanie Roessler, Johannes Zuber, Alexander Krasnitz, Nikolaus Schultz, Kate Revill, Susann Weissmueller, Amy R. Rappaport, Janelle Simon, Jack Zhang, Weijun Luo, James Hicks, Lars Zender, Xin Wei Wang, Scott Powers, Michael Wigler, Scott W. Lowe

Abstract

The large chromosomal deletions frequently observed in cancer genomes are often thought to arise as a "two-hit" mechanism in the process of tumor-suppressor gene (TSG) inactivation. Using a murine model system of hepatocellular carcinoma (HCC) and in vivo RNAi, we test an alternative hypothesis, that such deletions can arise from selective pressure to attenuate the activity of multiple genes. By targeting the mouse orthologs of genes frequently deleted on human 8p22 and adjacent regions, which are lost in approximately half of several other major epithelial cancers, we provide evidence suggesting that multiple genes on chromosome 8p can cooperatively inhibit tumorigenesis in mice, and that their cosuppression can synergistically promote tumor growth. In addition, in human HCC patients, the combined down-regulation of functionally validated 8p TSGs is associated with poor survival, in contrast to the down-regulation of any individual gene. Our data imply that large cancer-associated deletions can produce phenotypes distinct from those arising through loss of a single TSG, and as such should be considered and studied as distinct mutational events.

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
Spain 2 1%
Canada 1 <1%
Brazil 1 <1%
Unknown 143 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 43 28%
Researcher 34 23%
Student > Master 12 8%
Professor > Associate Professor 9 6%
Student > Bachelor 9 6%
Other 27 18%
Unknown 17 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 65 43%
Biochemistry, Genetics and Molecular Biology 37 25%
Medicine and Dentistry 18 12%
Computer Science 4 3%
Mathematics 2 1%
Other 5 3%
Unknown 20 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 June 2023.
All research outputs
#2,200,802
of 24,625,114 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#26,246
of 101,438 outputs
Outputs of similar age
#13,210
of 167,306 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#248
of 913 outputs
Altmetric has tracked 24,625,114 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 101,438 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.8. This one has gotten more attention than average, scoring higher than 74% 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 167,306 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 913 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 72% of its contemporaries.