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Cutaneous carcinosarcoma: further insights into its mutational landscape through massive parallel genome sequencing

Overview of attention for article published in Virchows Archiv, July 2014
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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3 X users
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1 Google+ user

Citations

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32 Mendeley
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1 CiteULike
Title
Cutaneous carcinosarcoma: further insights into its mutational landscape through massive parallel genome sequencing
Published in
Virchows Archiv, July 2014
DOI 10.1007/s00428-014-1628-0
Pubmed ID
Authors

Alberto Paniz-Mondolfi, Rajesh Singh, George Jour, Mandana Mahmoodi, A. Hafeez Diwan, Bedia A. Barkoh, Ronald Cason, Yve Huttenbach, Gustavo Benaim, John Galbincea, Rajyalakshmi Luthra

Abstract

Cutaneous carcinosarcoma (CCS) is an extraordinarily rare neoplasm with a biphasic morphological pattern exhibiting both epithelial and sarcomatoid components. Although its histogenesis and biological aspects remain poorly understood, previous studies have postulated that this tumor may arise from single cancer stem cells which subsequently differentiate into distinct tumor lineages. In this study, we explored a wide array of mutational hot spot regions, through high-depth next-generation sequencing of 47 cancer-associated genes in order to assess the mutational landscape of these tumors and investigate whether the epithelial and mesenchymal components shared the same genetic signatures. Results from this study confirm that despite their striking phenotypic differences, both elements of this infrequent tumor indeed share a common clonal origin. Additionally, CCS appears to embrace a heterogeneous spectrum with specific underlying molecular signatures correlating with the defining epithelial morphotype, with those carcinosarcomas exhibiting a squamous cell carcinoma epithelial component exhibiting diverse point mutations and deletions in the TP53 gene, and those with a basal cell carcinoma morphotype revealing a more complex mutational landscape involving several genes. Also, the fact that our findings involve several targetable gene pathways suggests that the underlying molecular events driving the pathogenesis of CCS may represent future potential targets for personalized therapies.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 3%
Unknown 31 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 22%
Student > Master 5 16%
Student > Bachelor 4 13%
Professor 4 13%
Student > Doctoral Student 3 9%
Other 4 13%
Unknown 5 16%
Readers by discipline Count As %
Medicine and Dentistry 15 47%
Biochemistry, Genetics and Molecular Biology 8 25%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Agricultural and Biological Sciences 1 3%
Nursing and Health Professions 1 3%
Other 0 0%
Unknown 6 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 03 September 2014.
All research outputs
#12,609,671
of 22,761,738 outputs
Outputs from Virchows Archiv
#934
of 1,945 outputs
Outputs of similar age
#90,273
of 204,690 outputs
Outputs of similar age from Virchows Archiv
#7
of 22 outputs
Altmetric has tracked 22,761,738 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,945 research outputs from this source. They receive a mean Attention Score of 4.0. This one has gotten more attention than average, scoring higher than 51% 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 204,690 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 55% of its contemporaries.
We're also able to compare this research output to 22 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 63% of its contemporaries.