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HNF4A expression as a potential diagnostic tool to discriminate primary gastric cancer from breast cancer metastasis in a Brazilian cohort

Overview of attention for article published in Diagnostic Pathology, June 2017
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Title
HNF4A expression as a potential diagnostic tool to discriminate primary gastric cancer from breast cancer metastasis in a Brazilian cohort
Published in
Diagnostic Pathology, June 2017
DOI 10.1186/s13000-017-0635-2
Pubmed ID
Authors

Patrícia Chaves de Freitas Campos Jucá, Stephany Corrêa, Giselle Maria Vignal, Maria Theresa de Souza Accioly, Suzana Angélica Silva Lustosa, Eliana Abdelhay, Delcio Matos

Abstract

Among the many challenges in cancer diagnosis is the early distinction between metastatic cancer and a secondary tumor. This difficulty stems from the lack of markers that offer high sensitivity and specificity and can be easily applied in routine laboratory work. An example of this challenge is distinguishing gastric metastases originating from breast cancer from a gastric primary tumor. Hepatocyte nuclear factor 4 alpha (HNF4A) has been suggested as a potential marker in these cases. The aim of this study was to analyze the expression of HNF4A, estrogen receptor (ER), progesterone receptor (PR) and gross cystic disease fluid protein 15 (GCDFP-15) in a Brazilian cohort. We performed immunohistochemistry analysis of HNF4A, ER, PR and GCDFP-15 in 126 patients divided into three cohorts: primary breast cancer, primary gastric cancer and both types of tumors. Our data confirmed the sensitivity and specificity of the HNF4A marker compared to other currently used clinical markers. HNF4A alone could be a gold standard marker for distinguishing primary gastric cancer from breast metastasis, thus validating its potential clinical use, especially in populations with high genetic diversity.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 14%
Student > Ph. D. Student 3 14%
Student > Doctoral Student 2 10%
Other 2 10%
Professor > Associate Professor 2 10%
Other 5 24%
Unknown 4 19%
Readers by discipline Count As %
Medicine and Dentistry 6 29%
Social Sciences 3 14%
Biochemistry, Genetics and Molecular Biology 2 10%
Nursing and Health Professions 1 5%
Agricultural and Biological Sciences 1 5%
Other 5 24%
Unknown 3 14%
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 07 June 2017.
All research outputs
#20,427,593
of 22,979,862 outputs
Outputs from Diagnostic Pathology
#950
of 1,135 outputs
Outputs of similar age
#275,988
of 317,195 outputs
Outputs of similar age from Diagnostic Pathology
#11
of 13 outputs
Altmetric has tracked 22,979,862 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 1,135 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 13 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.