| Title |
Plasma microRNA might as a potential biomarker for hepatocellular carcinoma and chronic liver disease screening
|
|---|---|
| Published in |
Tumor Biology, April 2015
|
| DOI | 10.1007/s13277-015-3446-7 |
| Pubmed ID | |
| Authors |
Li Jiang, Xue Li, Qi Cheng, Bin-Hao Zhang |
| Abstract |
Our study aims to investigate the expression signature of plasma microRNA-106b (miRNA-106b, miR-106b) in hepatocellular carcinoma (HCC) patients and chronic liver disease (CLD) patients compared with healthy controls and further evaluate the potential clinical value of miR-106b as biomarker in HCC detection. In addition, a meta-analysis was conducted to assess the diagnostic performance of miR-106a/b as a biochemical marker for cancer screening. This study was divided into two phases. In the first phase, the expression levels of plasma miR-106b obtained from 108 subjects (47 HCC patients, 25 CLD patients, and 36 healthy controls) were measured by using qRT-PCR. Areas under receiver operating characteristic (ROC) curves (AUCs) were used to evaluate the diagnostic accuracy of plasma miR-106. In the second phase, a meta-analysis based on 11 previous researches as well as our current study was conducted to assess the potential clinical value of miR-106 in cancer detection. Plasma levels of miR-106b in HCC patients were significantly higher compared with CLD patients and healthy individuals. ROC curves suggested that plasma miR-106b yielded relative high sensitivities and specificities in differentiating HCC patients from CLD patients or healthy controls with corresponding AUC values of 0.726 and 0.879, respectively. In addition, miR-106b showed a relatively high accuracy in distinguishing CLD patients from healthy controls with its AUC value of 0.703. Furthermore, the meta-analysis for diagnostic performance of miR-106a/b showed a pooled sensitivity of 0.74, specificity of 0.75, and an AUC of 0.81. Subgroup analysis based on samples types revealed a higher diagnostic performance of miR-106 for cancer detection by using non-blood samples. Similarly, miR-106 as biomarker showed a higher diagnostic accuracy for gastric cancer detection. We found that plasma miR-106b has clinical value in the detection of HCC from healthy people and CLD patients. Further large-scale study may be needed to validate our findings. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Other | 3 | 13% |
| Lecturer | 3 | 13% |
| Student > Master | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Other | 4 | 17% |
| Unknown | 4 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 17% |
| Agricultural and Biological Sciences | 4 | 17% |
| Biochemistry, Genetics and Molecular Biology | 3 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 13% |
| Engineering | 2 | 8% |
| Other | 2 | 8% |
| Unknown | 6 | 25% |
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 02 March 2016.
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#18,407,102
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Outputs from Tumor Biology
#1,369
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#193,259
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Outputs of similar age from Tumor Biology
#56
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