| Title |
Circulating miR-375 and miR-199a-3p as potential biomarkers for the diagnosis of hepatocellular carcinoma
|
|---|---|
| Published in |
Tumor Biology, January 2015
|
| DOI | 10.1007/s13277-015-3092-0 |
| Pubmed ID | |
| Authors |
Jian Yin, Peng Hou, Zhiqiang Wu, Tao Wang, Yanxiao Nie |
| Abstract |
Aiming to find novel non-invasive biomarkers with high accuracy for the detention of early-stage hepatocellular carcinoma (HCC), we examined the predictive power of two microRNAs (miR; miR-375 and miR-199a-3p) as potential biomarkers in early-stage HCC. A total of 234 serum samples (78 samples from HCC patients, 156 samples from healthy controls) were collected. We measured the levels of the two mature microRNAs (miRNAs) (miR-375 and miR-199a-3p) with probe-based stem-loop quantitative reverse-transcriptase PCR (RT-qPCR) in all subjects. In addition, the correlation between the expression levels of two miRs and clinicopathological factors was explored. Receiver operating characteristic curve (ROC) analyses revealed that the two serum miRs could be promising biomarkers for HCC, with relatively high area under the curve (AUC) values as follows: miR-375, 0. 637 with 95 % confidence interval (CI) of 0.560-0.741; miR-199a-3p, 0. 883 with 95 % CI of 0.827-0.938. Stratified analyses indicated that circulating miR-199a-3p showed better predictive value in patients with long-term drinking. Our data suggested that circulating miR-375 and miR-199a-3p could be a novel serum biomarker for HCC. Nevertheless, further validating and improving study with larger sample should be conducted to confirm our results. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 5 | 24% |
| Other | 3 | 14% |
| Researcher | 3 | 14% |
| Student > Bachelor | 2 | 10% |
| Professor | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 4 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 33% |
| Medicine and Dentistry | 3 | 14% |
| Agricultural and Biological Sciences | 3 | 14% |
| Chemical Engineering | 1 | 5% |
| Physics and Astronomy | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 5 | 24% |
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 28 January 2015.
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#20,251,039
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Outputs from Tumor Biology
#1,834
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#295,993
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Outputs of similar age from Tumor Biology
#105
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