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Diagnostic significance of elevated expression of HBME-1 in papillary thyroid carcinoma

Overview of attention for article published in Tumor Biology, January 2016
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Title
Diagnostic significance of elevated expression of HBME-1 in papillary thyroid carcinoma
Published in
Tumor Biology, January 2016
DOI 10.1007/s13277-015-4169-5
Pubmed ID
Authors

Yang-Jing Chen, Rui-Min Zhao, Qian Zhao, Bai-Ya Li, Qing-Yong Ma, Xiao Li, Xia Chen

Abstract

This study examined the association between hector battifora mesothelial antigen-1 (HBME-1) expression and papillary thyroid carcinoma (PTC). A total of 206 patients were enrolled in the current study including 96 PTC patients and 110 patients with benign thyroid nodules (BTN). Immunohistochemistry (Envision) were performed to assess the expression of HBME-1. Receiver operating characteristic curve (ROC) curves were applied to evaluate the diagnostic tumor node metastasis (TNM) value of HBME-1. Specimens from 96 patients with PTC and 110 patients with BTC were reviewed. HBME-1 was positively immunostained in PTC tissue, which was significantly higher than that in BTN tissues (77.1 vs. 5.77 %, P < 0.05). Immunohistochemistry also identified that HBME-1 expression did not show any statistically significant differences based on gender, age, tumor size, TNM stage, and lymph node metastasis (P > 0.05). Importantly, HBME-1 expression was correlated with infiltration levels and differential levels in PTC (both P < 0.05). HBME-1 was found to have high sensitivity (94.5 %) and specificity (77.08 %) for PTC diagnosis. Moreover, HBME-1 had a high specificity (83.33 %) at identifying the differential levels of PTC, but a low sensitivity (22.92 %). The sensitivity and specificity of HBME-1 identifying the infiltration levels of PTC were, respectively, 72.70 and 72.00 %. HBME-1 was highly expressed in PTC tissues, and HBME-1 can serve as a potential biomarker in the diagnosis of PTC.

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Mendeley readers

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The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 23%
Professor > Associate Professor 2 15%
Student > Ph. D. Student 1 8%
Lecturer 1 8%
Professor 1 8%
Other 1 8%
Unknown 4 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 23%
Medicine and Dentistry 3 23%
Social Sciences 1 8%
Nursing and Health Professions 1 8%
Unknown 5 38%
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 08 January 2016.
All research outputs
#20,300,248
of 22,837,982 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#330,607
of 393,726 outputs
Outputs of similar age from Tumor Biology
#184
of 288 outputs
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