| Title |
Analysis of circulating microRNA biomarkers for breast cancer detection: a meta-analysis
|
|---|---|
| Published in |
Tumor Biology, September 2014
|
| DOI | 10.1007/s13277-014-2533-5 |
| Pubmed ID | |
| Authors |
Lihua Liu, Shan Wang, Xiutang Cao, Jianchao Liu |
| Abstract |
Circulating microRNAs (miRNAs) have been reported to be aberrantly expressed in patients with breast cancer (BC) and thus may serve as potential diagnostic biomarkers. This meta-analysis aimed to assess the potential diagnostic value of using circulating miRNAs for BC. The summary receiver operator characteristic (SROC) curve was used to assess the overall diagnostic performance of circulating miRNA. All analyses were performed using STATA 12.0 software. Thirty-one studies from 16 publications with a total of 1,668 BC patients and 1,111 healthy controls were included in this meta-analysis. Our results showed that the pooled sensitivity (SEN) for miRNAs assays was 0.77 (95 % CI 0.69-0.84), specificity (SPE) was 0.88 (95 % CI 0.79-0.93), positive likelihood ratio (PLR) was 4.2 (95 % CI 3.0-6.0), negative LR (NLR) was 0.29 (95 % CI 0.21-0.40), and diagnostic odds ratio (DOR) was 18 (95 % CI 10-32). The area under the SROC curve (AUC) was 0.89 (95 % CI 0.86-0.91). Subgroup analysis suggested that employing a combination of multiple miRNAs was better than using a single miRNA in SEN (0.88 vs. 0.69), SPE (0.88 vs. 0.89), PLR (6.3 vs. 3.3), NLR (0.14 vs. 0.41), DOR (48 vs. 10), and AUC (0.94 vs. 0.83). In conclusion, our meta-analysis suggested that the expression profiles of circulating miRNAs, especially using a combination of them, have potential to facilitate accurate breast tumor detection. However, there are still challenges that need to be addressed to establish these new biomarkers before they can be applied to routine clinical procedures. |
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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 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 32% |
| Student > Master | 3 | 16% |
| Student > Ph. D. Student | 3 | 16% |
| Lecturer | 2 | 11% |
| Librarian | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 32% |
| Biochemistry, Genetics and Molecular Biology | 4 | 21% |
| Agricultural and Biological Sciences | 2 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Immunology and Microbiology | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 21% |
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 10 September 2014.
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#20,236,620
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#1,834
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Outputs of similar age from Tumor Biology
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