NDLI: Diagnostic value of circulating microRNAs as biomarkers for breast cancer: a meta-analysis study.

Content Provider	World Health Organization (WHO)-Global Index Medicus
Author	Cui, Zhaolei Lin, Donghong Song, Wenfang Chen, Meihuan Li, Dan
Description	Country affiliation: China Author Affiliation: Cui Z ( Department of Clinical Laboratory, School of Medical Technology and Engineering, Fujian Medical University, 88 Jiaotong Road, Taijiang, Fuzhou, 350004, Fujian, China.)
Abstract	Recent studies have provided new insights into the diagnostic value of circulating microRNAs (miRNAs) for breast cancer (BCa). However, the inconsistent results between studies have prevented the widespread usage of miRNAs in clinics. To systematically assess the potential diagnostic value of circulating miRNAs in BCa, we performed a comprehensive meta-analysis. Eligible studies were retrieved by searching electronic databases. The quality of the studies was assessed on the basis of quality assessment for studies of diagnostic accuracy (QUADAS) criteria. The bivariate meta-analysis model was employed to summarize the diagnostic indices and plot the summary receiver operator characteristic (SROC) curve. A total of 15 studies were included in this meta-analysis, involving 1368 BCa patients and 849 healthy controls. Our bivariate random effects meta-analysis yielded an area under curve (AUC) value of 0.9217, with a sensitivity of 0.82 (95 % confidence interval (CI) 0.80-0.83) and specificity of 0.82 (95% CI 0.80-0.85) for the use of miRNAs in differentiating BCa patients from healthy controls. Notably, our subgroup analysis suggested that a combination of multiple miRNAs (AUC, sensitivity, and specificity of 0.9518, 0.87, and 0.88, respectively) seemed to harbor higher accuracy than single miRNA-based assays (AUC, sensitivity, and specificity of 0.8923, 0.79, and 0.77, respectively). Altogether, our data indicate that circulating miRNA profiling has a potential to be used as a screening test for BCa, among which, the detection of a combined multiple miRNAs may be a more comprehensive indicator than individual miRNA.
File Format	HTM / HTML
ISSN	10104283
Issue Number	2
Volume Number	36
e-ISSN	14230380
Journal	Tumor Biology
Language	English
Publisher	Springer
Publisher Date	2015-02-01
Publisher Place	Netherlands
Access Restriction	Subscribed
Subject Keyword	Discipline Medicine__semicolon__oncology Tumor Markers, Biological Genetics Breast Neoplasms Diagnosis Micrornas Area Under Curve Blood Female Humans Neoplastic Cells, Circulating Journal Article Meta-analysis Research Support, Non-u.s. Gov't
Content Type	Text
Resource Type	Article
Subject	Medicine Cancer Research

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