| Title |
Serum microRNA-21 as a potential diagnostic biomarker for breast cancer: a systematic review and meta-analysis
|
|---|---|
| Published in |
Clinical and Experimental Medicine, December 2014
|
| DOI | 10.1007/s10238-014-0332-3 |
| Pubmed ID | |
| Authors |
Shichao Li, Xiaorong Yang, Jinmei Yang, Jiesheng Zhen, Dechun Zhang |
| Abstract |
Serum microRNA-21 (miR-21) expression has been shown to be significantly up-regulated in breast cancer, which implies that it could be a biomarker to discriminate breast cancer patients from healthy controls. We therefore performed this meta-analysis to assess the diagnostic value of miR-21 for breast cancer. Relevant articles were collected from PubMed, Scopus, Embase, the Cochrane Library, BioMed Central, ISI Web of Knowledge, China National Knowledge Infrastructure, Wan Fang Data and Technology of Chongqing databases, from inception to June 10, 2014 by two independent researchers. Diagnostic capacity of miR-21 for breast cancer was assessed using pooled sensitivity and specificity, diagnostic odds ratio (DOR), area under the summary receiver operating characteristic (AUC) and Fagan's nomogram. Meta-Disc software and Stata SE 12.0 were used to investigate the source of heterogeneity and to perform the meta-analysis. We used six studies with a total of 438 patients and 228 healthy controls in this meta-analysis. The pooled sensitivity, specificity and DOR were 0.79 [95 % confidence interval (CI) 0.66-0.87], 0.85 (95 % CI 0.75-0.91) and 19.46 (95 % CI 8.74-43.30), respectively; positive and negative likelihood ratios were 5 and 0.25, and AUC was 0.89 (95 % CI 0.86-0.91). In addition, heterogeneity was clearly apparent but was not caused by the threshold effect. This meta-analysis suggests that miR-21 is a potential biomarker for early diagnosis of breast cancer with high sensitivity and specificity, and its clinical application warrants further investigation. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 18% |
| Student > Bachelor | 10 | 14% |
| Researcher | 8 | 11% |
| Student > Ph. D. Student | 7 | 10% |
| Lecturer | 5 | 7% |
| Other | 7 | 10% |
| Unknown | 23 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 19% |
| Biochemistry, Genetics and Molecular Biology | 13 | 18% |
| Agricultural and Biological Sciences | 8 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 4% |
| Immunology and Microbiology | 3 | 4% |
| Other | 8 | 11% |
| Unknown | 24 | 33% |
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 18 December 2014.
All research outputs
#22,759,452
of 25,374,647 outputs
Outputs from Clinical and Experimental Medicine
#452
of 594 outputs
Outputs of similar age
#296,883
of 347,654 outputs
Outputs of similar age from Clinical and Experimental Medicine
#3
of 5 outputs
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