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Patient-derived xenografts of triple-negative breast cancer reproduce molecular features of patient tumors and respond to mTOR inhibition

Overview of attention for article published in Breast Cancer Research, April 2014
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Mentioned by

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1 Facebook page

Citations

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56 Dimensions

Readers on

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106 Mendeley
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1 CiteULike
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Title
Patient-derived xenografts of triple-negative breast cancer reproduce molecular features of patient tumors and respond to mTOR inhibition
Published in
Breast Cancer Research, April 2014
DOI 10.1186/bcr3640
Pubmed ID
Authors

Haiyu Zhang, Adam L Cohen, Sujatha Krishnakumar, Irene L Wapnir, Selvaraju Veeriah, Glenn Deng, Marc A Coram, Caroline M Piskun, Teri A Longacre, Michael Herrler, Daniel O Frimannsson, Melinda L Telli, Frederick M Dirbas, AC Matin, Shanaz H Dairkee, Banafshe Larijani, Gennadi V Glinsky, Andrea H Bild, Stefanie S Jeffrey

Abstract

Triple-negative breast cancer (TNBC) is aggressive and lacks targeted therapies. Phosphatidylinositide 3-kinase (PI3K)/mammalian target of rapamycin (mTOR) pathways are frequently activated in TNBC patient tumors at the genome, gene expression and protein levels, and mTOR inhibitors have been shown to inhibit growth in TNBC cell lines. We describe a panel of patient-derived xenografts representing multiple TNBC subtypes and use them to test preclinical drug efficacy of two mTOR inhibitors, sirolimus (rapamycin) and temsirolimus (CCI-779).

Mendeley readers

The data shown below were compiled from readership statistics for 106 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Germany 1 <1%
Unknown 104 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 22%
Student > Ph. D. Student 18 17%
Student > Master 12 11%
Student > Bachelor 8 8%
Student > Doctoral Student 7 7%
Other 18 17%
Unknown 20 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 24%
Biochemistry, Genetics and Molecular Biology 20 19%
Medicine and Dentistry 19 18%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Computer Science 3 3%
Other 12 11%
Unknown 23 22%

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 08 April 2014.
All research outputs
#11,843,097
of 13,349,046 outputs
Outputs from Breast Cancer Research
#1,374
of 1,497 outputs
Outputs of similar age
#184,337
of 221,669 outputs
Outputs of similar age from Breast Cancer Research
#2
of 2 outputs
Altmetric has tracked 13,349,046 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,497 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 1st percentile – i.e., 1% 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 221,669 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one.