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Exome sequencing of a colorectal cancer family reveals shared mutation pattern and predisposition circuitry along tumor pathways

Overview of attention for article published in Frontiers in Genetics, September 2015
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

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2 X users
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1 Wikipedia page

Citations

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10 Dimensions

Readers on

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54 Mendeley
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2 CiteULike
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Title
Exome sequencing of a colorectal cancer family reveals shared mutation pattern and predisposition circuitry along tumor pathways
Published in
Frontiers in Genetics, September 2015
DOI 10.3389/fgene.2015.00288
Pubmed ID
Authors

Suleiman H. Suleiman, Mahmoud E. Koko, Wafaa H. Nasir, Ommnyiah Elfateh, Ubai K. Elgizouli, Mohammed O. E. Abdallah, Khalid O. Alfarouk, Ayman Hussain, Shima Faisal, Fathelrahamn M. A. Ibrahim, Maurizio Romano, Ali Sultan, Lawrence Banks, Melanie Newport, Francesco Baralle, Ahmed M. Elhassan, Hiba S. Mohamed, Muntaser E. Ibrahim

Abstract

The molecular basis of cancer and cancer multiple phenotypes are not yet fully understood. Next Generation Sequencing promises new insight into the role of genetic interactions in shaping the complexity of cancer. Aiming to outline the differences in mutation patterns between familial colorectal cancer cases and controls we analyzed whole exomes of cancer tissues and control samples from an extended colorectal cancer pedigree, providing one of the first data sets of exome sequencing of cancer in an African population against a background of large effective size typically with excess of variants. Tumors showed hMSH2 loss of function SNV consistent with Lynch syndrome. Sets of genes harboring insertions-deletions in tumor tissues revealed, however, significant GO enrichment, a feature that was not seen in control samples, suggesting that ordered insertions-deletions are central to tumorigenesis in this type of cancer. Network analysis identified multiple hub genes of centrality. ELAVL1/HuR showed remarkable centrality, interacting specially with genes harboring non-synonymous SNVs thus reinforcing the proposition of targeted mutagenesis in cancer pathways. A likely explanation to such mutation pattern is DNA/RNA editing, suggested here by nucleotide transition-to-transversion ratio that significantly departed from expected values (p-value 5e-6). NFKB1 also showed significant centrality along with ELAVL1, raising the suspicion of viral etiology given the known interaction between oncogenic viruses and these proteins.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 2%
Germany 1 2%
Canada 1 2%
Unknown 51 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 19%
Student > Master 10 19%
Researcher 7 13%
Student > Postgraduate 5 9%
Student > Bachelor 4 7%
Other 9 17%
Unknown 9 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 19 35%
Agricultural and Biological Sciences 10 19%
Medicine and Dentistry 5 9%
Computer Science 2 4%
Neuroscience 2 4%
Other 4 7%
Unknown 12 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 07 November 2019.
All research outputs
#6,290,058
of 22,826,360 outputs
Outputs from Frontiers in Genetics
#1,873
of 11,809 outputs
Outputs of similar age
#74,825
of 268,887 outputs
Outputs of similar age from Frontiers in Genetics
#15
of 66 outputs
Altmetric has tracked 22,826,360 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 11,809 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 83% 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 268,887 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.