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Case with triple-negative breast cancer shows overexpression of both cFOS and TGF-β1 in node-positive tissue

Overview of attention for article published in Personalized Medicine, November 2016
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Mentioned by

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2 tweeters

Citations

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1 Dimensions

Readers on

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3 Mendeley
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Title
Case with triple-negative breast cancer shows overexpression of both cFOS and TGF-β1 in node-positive tissue
Published in
Personalized Medicine, November 2016
DOI 10.2217/pme-2016-0032
Pubmed ID
Authors

Vesna Ivanović, Nasta Dedović-Tanić, Zorka Milovanović, Silvana Lukić, Srdjan Nikolić, Vladimir Baltić, Bratislav Stojiljković, Miroslav Demajo, Vesna Mandušić, Bogomir Dimitrijević

Abstract

We present herein a case report style article on a rare advanced triple-negative breast cancer (TNBC) patient with 6-month disease-free interval, and 10-month overall survival. Our results demonstrate that the poor clinical outcome of this patient was associated with pronounced, more than fivefold higher, overexpression of both cFOS and TGF-β1 proteins in its metastatic nodal tissue extracts, when compared with the values of the two non-TNBC controls (with 'zero' disease-free interval and overall survival). This original observation suggests, for the first time, that both the cFOS and TGF-β1 may be considered as a pair of biomarkers for an early assessment of poor prognosis for TNBC patients. The possible clinical implication of this observation is discussed.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 33%
Student > Bachelor 1 33%
Lecturer 1 33%
Readers by discipline Count As %
Medicine and Dentistry 2 67%
Nursing and Health Professions 1 33%

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 26 October 2016.
All research outputs
#4,590,830
of 8,569,826 outputs
Outputs from Personalized Medicine
#180
of 281 outputs
Outputs of similar age
#138,477
of 251,328 outputs
Outputs of similar age from Personalized Medicine
#10
of 11 outputs
Altmetric has tracked 8,569,826 research outputs across all sources so far. This one is in the 27th percentile – i.e., 27% of other outputs scored the same or lower than it.
So far Altmetric has tracked 281 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one is in the 24th percentile – i.e., 24% 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 251,328 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.