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Clonal Architectures and Driver Mutations in Metastatic Melanomas

Overview of attention for article published in PLOS ONE, November 2014
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87 Mendeley
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Title
Clonal Architectures and Driver Mutations in Metastatic Melanomas
Published in
PLOS ONE, November 2014
DOI 10.1371/journal.pone.0111153
Pubmed ID
Authors

Li Ding, Minjung Kim, Krishna L. Kanchi, Nathan D. Dees, Charles Lu, Malachi Griffith, David Fenstermacher, Hyeran Sung, Christopher A. Miller, Brian Goetz, Michael C. Wendl, Obi Griffith, Lynn A. Cornelius, Gerald P. Linette, Joshua F. McMichael, Vernon K. Sondak, Ryan C. Fields, Timothy J. Ley, James J. Mulé, Richard K. Wilson, Jeffrey S. Weber

Abstract

To reveal the clonal architecture of melanoma and associated driver mutations, whole genome sequencing (WGS) and targeted extension sequencing were used to characterize 124 melanoma cases. Significantly mutated gene analysis using 13 WGS cases and 15 additional paired extension cases identified known melanoma genes such as BRAF, NRAS, and CDKN2A, as well as a novel gene EPHA3, previously implicated in other cancer types. Extension studies using tumors from another 96 patients discovered a large number of truncation mutations in tumor suppressors (TP53 and RB1), protein phosphatases (e.g., PTEN, PTPRB, PTPRD, and PTPRT), as well as chromatin remodeling genes (e.g., ASXL3, MLL2, and ARID2). Deep sequencing of mutations revealed subclones in the majority of metastatic tumors from 13 WGS cases. Validated mutations from 12 out of 13 WGS patients exhibited a predominant UV signature characterized by a high frequency of C->T transitions occurring at the 3' base of dipyrimidine sequences while one patient (MEL9) with a hypermutator phenotype lacked this signature. Strikingly, a subclonal mutation signature analysis revealed that the founding clone in MEL9 exhibited UV signature but the secondary clone did not, suggesting different mutational mechanisms for two clonal populations from the same tumor. Further analysis of four metastases from different geographic locations in 2 melanoma cases revealed phylogenetic relationships and highlighted the genetic alterations responsible for differential drug resistance among metastatic tumors. Our study suggests that clonal evaluation is crucial for understanding tumor etiology and drug resistance in melanoma.

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The data shown below were collected from the profiles of 2 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Unknown 86 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 26%
Researcher 10 11%
Student > Master 8 9%
Student > Bachelor 6 7%
Student > Postgraduate 6 7%
Other 12 14%
Unknown 22 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 28%
Medicine and Dentistry 18 21%
Agricultural and Biological Sciences 16 18%
Pharmacology, Toxicology and Pharmaceutical Science 3 3%
Immunology and Microbiology 2 2%
Other 1 1%
Unknown 23 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 January 2015.
All research outputs
#13,923,205
of 22,770,070 outputs
Outputs from PLOS ONE
#112,332
of 194,252 outputs
Outputs of similar age
#130,138
of 258,732 outputs
Outputs of similar age from PLOS ONE
#2,400
of 4,984 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 194,252 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. This one is in the 40th percentile – i.e., 40% 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 258,732 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4,984 others from the same source and published within six weeks on either side of this one. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.