title: MicroRNA-21 as a potential diagnostic biomarker for breast cancer patients: a pooled analysis of individual studies.
abstract: MicroRNA-21 (miR-21) has been reported as the potential novel diagnostic biomarker for breast cancer in several studies, but their results were inconsistent. Therefore, we conducted a systematic analysis to evaluate the diagnostic value of miR-21 in detecting breast cancer. A comprehensive electronic and manual search was conducted for relevant literatures through several databases up to November 9, 2015. QUADAS-2 was used to assess the quality of the studies included in the study. All statistical analyses were performed using Meta-Disc 1.4 and Stata 12.0. Eleven studies with a total of 918 breast cancer patients and 613 controls were included. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), and diagnostic odds ratio (DOR) with their 95% confidence intervals (CIs) were 0.72 (95% CI: 0.69-0.75), 0.80 (95% CI: 0.77-0.83), 3.37 (95% CI: 2.24-5.07), 0.30 (95% CI: 0.19-0.50), and 11.79 (95% CI: 5.23-26.57), respectively. The area under the curve of SROC was 0.8517. In conclusion, our analyses suggested that miR-21 is a promising biomarker in diagnosing breast cancer. For clinical purpose, further large-scale studies are warranted to validate its clinical application.
authors.affiliation: Department of Health Service Management, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.|Department of Cancer Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
authors.forename: Ying
authors.initials: Y
authors.lastname: Gao
authors.affiliation: Department of Urology, The Second Hospital of Tianjin Medical University, Tianjin, 300211, China.
authors.forename: Qiliang
authors.initials: Q
authors.lastname: Cai
authors.affiliation: Department of Cancer Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
authors.forename: Yubei
authors.initials: Y
authors.lastname: Huang
authors.affiliation: Department of Health Service Management, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
authors.forename: Shu
authors.initials: S
authors.lastname: Li
authors.affiliation: Department of Health Service Management, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
authors.forename: Hongxi
authors.initials: H
authors.lastname: Yang
authors.affiliation: Department of Health Service Management, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
authors.forename: Li
authors.initials: L
authors.lastname: Sun
authors.affiliation: Department of Cancer Epidemiology and Biostatistics, Tianjin Medical University Cancer Institute and Hospital, Tianjin, 300060, China.
authors.forename: Kexin
authors.initials: K
authors.lastname: Chen
authors.affiliation: Department of Health Service Management, School of Public Health, Tianjin Medical University, Tianjin, 300070, China.
authors.forename: Yaogang
authors.initials: Y
authors.lastname: Wang
mesh_terms: D014408:Biomarkers, Tumor / Q000235:genetics*; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000235:genetics*; D016208:Databases, Factual; D005260:Female; D006801:Humans; D035683:MicroRNAs / Q000235:genetics*
chemical_list: D014408:Biomarkers, Tumor; C524940:MIRN21 microRNA, human; D035683:MicroRNAs
keywords: biomarker; breast cancer; diagnostic; meta-analysis; microRNA-21