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Validation and clinicopathologic associations of a urine-based bladder cancer biomarker signature

Overview of attention for article published in Diagnostic Pathology, November 2014
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Title
Validation and clinicopathologic associations of a urine-based bladder cancer biomarker signature
Published in
Diagnostic Pathology, November 2014
DOI 10.1186/s13000-014-0200-1
Pubmed ID
Authors

Ge Zhang, Evan Gomes-Giacoia, Yunfeng Dai, Adrienne Lawton, Makito Miyake, Hideki Furuya, Steve Goodison, Charles J Rosser

Abstract

BackgroundTo validate the expression of a urine-based bladder cancer associated diagnostic signature comprised of 10 targets; ANG, CA9, MMP9, MMP10, SERPINA1, APOE, SDC1, VEGFA, SERPINE1 and IL8 in bladder tumor tissues.MethodsImmunohistochemical analyses were performed on tumor specimens from 213 bladder cancer patients (transitional cell carcinoma only) and 74 controls. Staining patterns were digitally captured and quantitated (Aperio, Vista, CA), and expression was correlated with tumor stage, tumor grade and outcome measures.ResultsWe revealed a positive association of 9 of the 10 proteins (excluding VEGF) in bladder cancer. Relative to control cases, a reduction in SDC1 and overexpression of MMP9, MMP10, SERPINE1, IL8, APOE, SERPINA1, ANG were associated with high stage bladder cancer. Reduced VEGF and increased SERPINA1 were associated with high-grade bladder cancer. Disease-specific survival was significantly reduced in tumors with high expression of SERPINE1 and/or IL8.ConclusionsThese findings confirm that the proteins in a urine-based diagnostic signature are aberrantly expressed in bladder tumor tissues, and support the potential additional utility of selected biomarkers for the clinicopathological evaluation of excised tissue or biopsy material.Virtual SlidesThe virtual slide(s) for this article can be found here: http://www.diagnosticpathology.diagnomx.eu/vs/13000_2014_200.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 4%
Unknown 26 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 22%
Student > Ph. D. Student 5 19%
Student > Postgraduate 4 15%
Student > Bachelor 2 7%
Professor > Associate Professor 2 7%
Other 3 11%
Unknown 5 19%
Readers by discipline Count As %
Medicine and Dentistry 6 22%
Biochemistry, Genetics and Molecular Biology 5 19%
Agricultural and Biological Sciences 2 7%
Immunology and Microbiology 2 7%
Computer Science 1 4%
Other 2 7%
Unknown 9 33%
Attention Score in Context

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 14 November 2014.
All research outputs
#15,310,081
of 22,770,070 outputs
Outputs from Diagnostic Pathology
#535
of 1,123 outputs
Outputs of similar age
#150,834
of 258,738 outputs
Outputs of similar age from Diagnostic Pathology
#22
of 46 outputs
Altmetric has tracked 22,770,070 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,123 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 40th percentile – i.e., 40% of its peers scored the same or lower than it.
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We're also able to compare this research output to 46 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.