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Combination of miR-125b and miR-27a enhances sensitivity and specificity of AFP-based diagnosis of hepatocellular carcinoma

Overview of attention for article published in Tumor Biology, December 2015
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Title
Combination of miR-125b and miR-27a enhances sensitivity and specificity of AFP-based diagnosis of hepatocellular carcinoma
Published in
Tumor Biology, December 2015
DOI 10.1007/s13277-015-4545-1
Pubmed ID
Authors

Duo Zuo, Liwei Chen, Xiaoqian Liu, Xia Wang, Qing Xi, Yi Luo, Ning Zhang, Hua Guo

Abstract

Non-invasive biomarkers of early-stage hepatocellular carcinoma (HCC) could offer immense benefits. Currently available tumor markers for HCC are of not much clinical relevance. In this study, we investigated the potential for using a panel of serum microRNAs (miRNAs) as novel tumor markers in conjunction with serum alpha-fetoprotein (AFP) for diagnosis of HCC. Serum expression of four miRNAs was assessed in 150 subjects (90 cases of HCC and 60 cases without cancer) by quantitative real-time polymerase chain reaction (qRT-PCR). Logistic regression analysis was performed to assess the potential use of miRNAs for detection of HCC. Receiver operating characteristic curves were used to evaluate diagnostic accuracy. A panel of serum miRNAs (miR-125b, miR-223, miR-27a, and miR-26a) used in conjunction with AFP helped differentiate HCC patients from those in the non-cancer group after adjusting for age and gender, with the area under the curve of 0.870. In addition, the use of miR-125b/miR-27a panel differentiated HBV-related early-stage HCC with a high sensitivity (80.0 %) and specificity (87.2 %) in AFP-negative (-) subjects. A combination of serum miR-125b, miR-223, miR-27a, and miR-26a as a second-line tests could help detect HCC in AFP (-) subjects. The panel of miR-125b/miR-27a/AFP had a higher sensitivity and specificity for diagnosis of early-stage HCC as compared to that of a single marker.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 18%
Lecturer 3 18%
Student > Bachelor 2 12%
Student > Master 2 12%
Student > Doctoral Student 1 6%
Other 4 24%
Unknown 2 12%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 4 24%
Nursing and Health Professions 3 18%
Medicine and Dentistry 2 12%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Mathematics 1 6%
Other 3 18%
Unknown 3 18%
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 09 December 2015.
All research outputs
#20,297,343
of 22,834,308 outputs
Outputs from Tumor Biology
#1,834
of 2,622 outputs
Outputs of similar age
#324,904
of 387,469 outputs
Outputs of similar age from Tumor Biology
#198
of 315 outputs
Altmetric has tracked 22,834,308 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 2,622 research outputs from this source. They receive a mean Attention Score of 2.2. 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 315 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.