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Recurrent somatic mutation of FAT1 in multiple human cancers leads to aberrant Wnt activation

Overview of attention for article published in Nature Genetics, January 2013
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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 (89th percentile)
  • Average Attention Score compared to outputs of the same age and source

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5 patents

Citations

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298 Dimensions

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264 Mendeley
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2 CiteULike
Title
Recurrent somatic mutation of FAT1 in multiple human cancers leads to aberrant Wnt activation
Published in
Nature Genetics, January 2013
DOI 10.1038/ng.2538
Pubmed ID
Authors

Luc G T Morris, Andrew M Kaufman, Yongxing Gong, Deepa Ramaswami, Logan A Walsh, Şevin Turcan, Stephanie Eng, Kasthuri Kannan, Yilong Zou, Luke Peng, Victoria E Banuchi, Phillip Paty, Zhaoshi Zeng, Efsevia Vakiani, David Solit, Bhuvanesh Singh, Ian Ganly, Linda Liau, Timothy C Cloughesy, Paul S Mischel, Ingo K Mellinghoff, Timothy A Chan

Abstract

Aberrant Wnt signaling can drive cancer development. In many cancer types, the genetic basis of Wnt pathway activation remains incompletely understood. Here, we report recurrent somatic mutations of the Drosophila melanogaster tumor suppressor-related gene FAT1 in glioblastoma (20.5%), colorectal cancer (7.7%), and head and neck cancer (6.7%). FAT1 encodes a cadherin-like protein, which we found is able to potently suppress cancer cell growth in vitro and in vivo by binding β-catenin and antagonizing its nuclear localization. Inactivation of FAT1 via mutation therefore promotes Wnt signaling and tumorigenesis and affects patient survival. Taken together, these data strongly point to FAT1 as a tumor suppressor gene driving loss of chromosome 4q35, a prevalent region of deletion in cancer. Loss of FAT1 function is a frequent event during oncogenesis. These findings address two outstanding issues in cancer biology: the basis of Wnt activation in non-colorectal tumors and the identity of a 4q35 tumor suppressor.

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 264 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 2%
France 2 <1%
Japan 2 <1%
South Africa 1 <1%
Malaysia 1 <1%
Netherlands 1 <1%
Canada 1 <1%
Unknown 251 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 62 23%
Student > Ph. D. Student 54 20%
Student > Master 25 9%
Student > Bachelor 21 8%
Student > Doctoral Student 20 8%
Other 38 14%
Unknown 44 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 76 29%
Biochemistry, Genetics and Molecular Biology 62 23%
Medicine and Dentistry 55 21%
Computer Science 4 2%
Pharmacology, Toxicology and Pharmaceutical Science 3 1%
Other 11 4%
Unknown 53 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 21 June 2022.
All research outputs
#2,689,347
of 22,711,242 outputs
Outputs from Nature Genetics
#3,131
of 7,176 outputs
Outputs of similar age
#29,185
of 281,823 outputs
Outputs of similar age from Nature Genetics
#38
of 74 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,176 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 41.0. This one has gotten more attention than average, scoring higher than 56% 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 281,823 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 74 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 50% of its contemporaries.