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Mutational landscape of mucinous ovarian carcinoma and its neoplastic precursors

Overview of attention for article published in Genome Medicine, August 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)

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1 policy source
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7 X users

Citations

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126 Dimensions

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71 Mendeley
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1 CiteULike
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Title
Mutational landscape of mucinous ovarian carcinoma and its neoplastic precursors
Published in
Genome Medicine, August 2015
DOI 10.1186/s13073-015-0210-y
Pubmed ID
Authors

Georgina L. Ryland, Sally M. Hunter, Maria A. Doyle, Franco Caramia, Jason Li, Simone M. Rowley, Michael Christie, Prue E. Allan, Andrew N. Stephens, David D L Bowtell, Australian Ovarian Cancer Study Group, Ian G. Campbell, Kylie L. Gorringe

Abstract

Mucinous ovarian tumors are an unusual group of rare neoplasms with an apparently clear progression from benign to borderline to carcinoma, yet with a controversial cell of origin in the ovarian surface epithelium. They are thought to be molecularly distinct from other ovarian tumors but there have been no exome-level sequencing studies performed to date. To understand the genetic etiology of mucinous ovarian tumors and assess the presence of novel therapeutic targets or pathways, we undertook exome sequencing of 24 tumors encompassing benign (5), borderline (8) and carcinoma (11) histologies and also assessed a validation cohort of 58 tumors for specific gene regions including exons 4-9 of TP53. The predominant mutational signature was of C>T transitions in a NpCpG context, indicative of deamination of methyl-cytosines. As well as mutations in known drivers (KRAS, BRAF and CDKN2A), we identified a high percentage of carcinomas with TP53 mutations (52 %), and recurrent mutations in RNF43, ELF3, GNAS, ERBB3 and KLF5. The diversity of mutational targets suggests multiple routes to tumorigenesis in this heterogeneous group of tumors that is generally distinct from other ovarian subtypes.

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
Canada 1 1%
Unknown 69 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 15%
Student > Ph. D. Student 10 14%
Student > Master 10 14%
Student > Bachelor 8 11%
Student > Postgraduate 5 7%
Other 9 13%
Unknown 18 25%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 26 37%
Medicine and Dentistry 12 17%
Agricultural and Biological Sciences 6 8%
Computer Science 2 3%
Psychology 2 3%
Other 2 3%
Unknown 21 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 01 January 2016.
All research outputs
#4,494,397
of 22,821,814 outputs
Outputs from Genome Medicine
#866
of 1,441 outputs
Outputs of similar age
#56,838
of 264,084 outputs
Outputs of similar age from Genome Medicine
#25
of 35 outputs
Altmetric has tracked 22,821,814 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,441 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 25.6. This one is in the 39th percentile – i.e., 39% 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 264,084 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 78% of its contemporaries.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.