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Mouse p53-Deficient Cancer Models as Platforms for Obtaining Genomic Predictors of Human Cancer Clinical Outcomes

Overview of attention for article published in PLOS ONE, August 2012
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  • Good Attention Score compared to outputs of the same age (68th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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1 Redditor

Citations

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7 Dimensions

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33 Mendeley
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1 CiteULike
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Title
Mouse p53-Deficient Cancer Models as Platforms for Obtaining Genomic Predictors of Human Cancer Clinical Outcomes
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0042494
Pubmed ID
Authors

Marta Dueñas, Mirentxu Santos, Juan F. Aranda, Concha Bielza, Ana B. Martínez-Cruz, Corina Lorz, Miquel Taron, Eva M. Ciruelos, José L. Rodríguez-Peralto, Miguel Martín, Pedro Larrañaga, Jubrail Dahabreh, George P. Stathopoulos, Rafael Rosell, Jesús M. Paramio, Ramón García-Escudero

Abstract

Mutations in the TP53 gene are very common in human cancers, and are associated with poor clinical outcome. Transgenic mouse models lacking the Trp53 gene or that express mutant Trp53 transgenes produce tumours with malignant features in many organs. We previously showed the transcriptome of a p53-deficient mouse skin carcinoma model to be similar to those of human cancers with TP53 mutations and associated with poor clinical outcomes. This report shows that much of the 682-gene signature of this murine skin carcinoma transcriptome is also present in breast and lung cancer mouse models in which p53 is inhibited. Further, we report validated gene-expression-based tests for predicting the clinical outcome of human breast and lung adenocarcinoma. It was found that human patients with cancer could be stratified based on the similarity of their transcriptome with the mouse skin carcinoma 682-gene signature. The results also provide new targets for the treatment of p53-defective tumours.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 24%
Professor > Associate Professor 5 15%
Professor 3 9%
Student > Ph. D. Student 3 9%
Student > Doctoral Student 1 3%
Other 3 9%
Unknown 10 30%
Readers by discipline Count As %
Medicine and Dentistry 7 21%
Biochemistry, Genetics and Molecular Biology 7 21%
Agricultural and Biological Sciences 5 15%
Computer Science 2 6%
Arts and Humanities 1 3%
Other 1 3%
Unknown 10 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 25 September 2012.
All research outputs
#6,913,570
of 22,673,450 outputs
Outputs from PLOS ONE
#81,362
of 193,525 outputs
Outputs of similar age
#49,730
of 166,600 outputs
Outputs of similar age from PLOS ONE
#1,487
of 4,137 outputs
Altmetric has tracked 22,673,450 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 193,525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 56% 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 166,600 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 68% of its contemporaries.
We're also able to compare this research output to 4,137 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 62% of its contemporaries.