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Shifting patterns of genomic variation in the somatic evolution of papillary thyroid carcinoma

Overview of attention for article published in BMC Cancer, August 2016
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Title
Shifting patterns of genomic variation in the somatic evolution of papillary thyroid carcinoma
Published in
BMC Cancer, August 2016
DOI 10.1186/s12885-016-2665-7
Pubmed ID
Authors

Jill C. Rubinstein, Taylor C. Brown, Emily R. Christison-Lagay, Yawei Zhang, John W. Kunstman, C. Christofer Juhlin, Carol Nelson-Williams, Gerald Goh, Courtney E. Quinn, Glenda G. Callender, Robert Udelsman, Richard P. Lifton, Reju Korah, Tobias Carling

Abstract

Cancer is increasingly understood to arise in the context of dynamically evolving genomes with continuously generated variants subject to selective pressures. Diverse mutations have been identified in papillary thyroid carcinoma (PTC), but unifying theories underlying genomic change are lacking. Applying a framework of somatic evolution, we sought to broaden understanding of the PTC genome through identification of global trends that help explain risk of tumorigenesis. Exome sequencing was performed on 53 PTC and matched adjacent non-tumor thyroid tissues (ANT). Single nucleotide substitution (SNS) signatures from each sample pair were divided into three subsets based on their presence in tumor, non-tumor thyroid, or both. Nine matched blood samples were sequenced and SNS signatures intersected with these three subsets. The intersected genomic signatures were used to define branch-points in the evolution of the tumor genome, distinguishing variants present in the tissues' common ancestor cells from those unique to each tissue type and therefore acquired after genomic divergence of the tumor, non-tumor, and blood samples. Single nucleotide substitutions shared by the tumor and the non-tumor thyroid were dominated by C-to-T transitions, whereas those unique to either tissue type were enriched for C-to-A transversions encoding non-synonymous, predicted-deleterious variants. On average, SNSs of matched blood samples were 81 % identical to those shared by tumor and non-tumor thyroid, but only 12.5 % identical to those unique to either tissue. Older age and BRAF mutation were associated with increased SNS burden. The current study demonstrates novel patterns of genomic change in PTC, supporting a theory of somatic evolution in which the zygote's germline genome undergoes continuous remodeling to produce progressively differentiated, tissue-specific signatures. Late somatic events in thyroid tissue demonstrate shifted mutational spectra compared to earlier polymorphisms. These late events are enriched for predicted-deleterious variants, suggesting a mechanism of genomic instability in PTC tumorigenesis.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 22%
Other 3 13%
Professor > Associate Professor 3 13%
Student > Ph. D. Student 2 9%
Student > Bachelor 1 4%
Other 2 9%
Unknown 7 30%
Readers by discipline Count As %
Medicine and Dentistry 6 26%
Biochemistry, Genetics and Molecular Biology 2 9%
Agricultural and Biological Sciences 2 9%
Immunology and Microbiology 1 4%
Nursing and Health Professions 1 4%
Other 0 0%
Unknown 11 48%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 September 2017.
All research outputs
#17,812,737
of 22,883,326 outputs
Outputs from BMC Cancer
#4,980
of 8,326 outputs
Outputs of similar age
#247,996
of 343,111 outputs
Outputs of similar age from BMC Cancer
#152
of 290 outputs
Altmetric has tracked 22,883,326 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,326 research outputs from this source. They receive a mean Attention Score of 4.3. This one is in the 34th percentile – i.e., 34% of its peers scored the same or lower than it.
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 343,111 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 290 others from the same source and published within six weeks on either side of this one. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.