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Identification and validation of novel candidate protein biomarkers for the detection of human gastric cancer

Overview of attention for article published in Biochimica et Biophysica Acta (BBA), February 2014
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

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4 news outlets
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1 X user

Citations

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53 Dimensions

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48 Mendeley
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Title
Identification and validation of novel candidate protein biomarkers for the detection of human gastric cancer
Published in
Biochimica et Biophysica Acta (BBA), February 2014
DOI 10.1016/j.bbapap.2014.01.018
Pubmed ID
Authors

Julia M. Humphries, Megan A.S. Penno, Florian Weiland, Manuela Klingler-Hoffmann, Agnieszka Zuber, Alex Boussioutas, Matthias Ernst, Peter Hoffmann

Abstract

The timely detection of gastric cancer will contribute significantly towards effective treatment and is aided by the availability and reliability of appropriate biomarkers. A combination of several biomarkers can improve the sensitivity and specificity of cancer detection and this work reports results from a panel of 4 proteins. By combining a validated preclinical mouse model with a proteomic approach we have recently discovered novel biomarkers for the detection of gastric cancer. Here, we investigate the specificity of four of those biomarkers (afamin, clusterin, VDBP and haptoglobin) for the detection of gastric cancer using two independent methods of validation: ELISA, and a non antibody based method: Multiple Reaction Monitoring with High Resolution Mass Spectrometry (MRM-HR). All four biomarkers reliably differentiated GC from benign patient serum, and also in a small cohort of 11 early stage cases. We also present a novel isoform specific biomarker alpha-1-antitrypsin (A1AT) that was identified using a mouse model for gastric cancer. This isoform is distinct in charge and mobility in a pH gradient and was validated using human samples by isoelectric focussing and Western-blot (IEF-WB). This article is part of a Special Issue entitled: Biomarkers: A Proteomic Challenge.

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 1 2%
Thailand 1 2%
Unknown 46 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 25%
Student > Master 11 23%
Researcher 10 21%
Student > Doctoral Student 3 6%
Student > Postgraduate 2 4%
Other 4 8%
Unknown 6 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 25%
Biochemistry, Genetics and Molecular Biology 10 21%
Medicine and Dentistry 6 13%
Chemistry 3 6%
Immunology and Microbiology 2 4%
Other 4 8%
Unknown 11 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 22 April 2014.
All research outputs
#1,271,424
of 25,373,627 outputs
Outputs from Biochimica et Biophysica Acta (BBA)
#96
of 19,218 outputs
Outputs of similar age
#14,128
of 322,489 outputs
Outputs of similar age from Biochimica et Biophysica Acta (BBA)
#3
of 212 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 19,218 research outputs from this source. They receive a mean Attention Score of 4.4. This one has done particularly well, scoring higher than 99% 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 322,489 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 212 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.