Upregulated long non-coding RNAs demonstrate promising efficacy for breast cancer detection: a meta-analysis

被引:13
|
作者
Yu, Guozheng [1 ,2 ]
Zhang, Wei [2 ,3 ]
Zhu, Linyan [1 ,2 ]
Xia, Lin [2 ,4 ]
机构
[1] Hubei Polytech Univ, Dept Gen Surg, Huangshi Cent Hosp, Edong Healthcare Grp,Affiliated Hosp, Huangshi, Peoples R China
[2] Hubei Polytech Univ, Affiliated Hosp, Hubei Key Lab Kidney Dis Pathogenesis & Intervent, Huangshi Cent Hosp,Edong Healthcare Grp, Huangshi, Peoples R China
[3] Hubei Polytech Univ, Affiliated Hosp, Dept Clin Lab, Huangshi Cent Hosp,Edong Healthcare Grp, Huangshi, Peoples R China
[4] Hubei Polytech Univ, Affiliated Hosp, Dept Med Oncol, Huangshi Cent Hosp,Edong Healthcare Grp, 293 Yiyuan St, Huangshi 435000, Hubei, Peoples R China
来源
ONCOTARGETS AND THERAPY | 2018年 / 11卷
关键词
lncRNA; breast cancer; diagnosis; meta-analysis; CLINICAL-SIGNIFICANCE; BIOMARKER; EXPRESSION; DIAGNOSIS; PLASMA; SERUM;
D O I
10.2147/OTT.S152241
中图分类号
Q81 [生物工程学(生物技术)]; Q93 [微生物学];
学科分类号
071005 ; 0836 ; 090102 ; 100705 ;
摘要
Purpose: Focusing on the latest literature, dysregulated long non-coding RNAs (lncRNAs) have been extensively explored in breast cancer (BC) research. The purpose of this meta-analysis is to synthesize the evidence on the diagnostic performance of abnormally expressed lncRNAs for BC. Materials and methods: Relevant studies were searched in multiple electronic databases. The Quality Assessment of Diagnosis Accuracy Studies II criteria were applied to assess the quality of included studies. The bivariate meta-analysis model was applied to synthesize the diagnostic parameters using Stata 12.0 software. Publication bias was judged in terms of the Deek's funnel plot asymmetry test. Results: We included 10 eligible studies, which comprised 835 BC patients and 725 paired controls for this meta-analysis. The pooled sensitivity, specificity, diagnostic odds ratio, likelihood ratio positive, likelihood ratio negative, and area under the curve (AUC) of upregulated lncRNA expression signature in confirming BC were 0.79 (95% CI: 0.70-0.85), 0.80 (95% CI: 0.73-0.85), 14.61 (95% CI: 10.91-19.55), 3.90 (95% CI: 3.03-5.02), 0.27 (95% CI: 0.20-0.36), and 0.86, respectively. Stratified analyses yielded a sensitivity of 0.83 (95% CI: 0.80-0.86) for serum-based analysis, which was higher than plasma-based analysis, whereas plasma-based analysis revealed a greater specificity of 0.88 (95% CI: 0.85-0.91). Moreover, lncRNA-homeotic genes (HOX) transcript antisense RNA showed a pooled specificity of 0.89 (95% CI: 0.84-0.93) and AUC of 0.86, which were superior to performances by lncRNA-metastasis-associated lung adenocarcinoma transcript-1 and -H19 in diagnosing BC. Notably, the analysis based on cancer subtypes demonstrated that lncRNA expression signature could distinguish triple-negative BC (lacks estrogen receptor, progesterone receptor, and human epidermal growth factor receptor 2 expression) from non-triple-negative BC, with an AUC of 0.85. Conclusion: Upregulated lncRNAs reveal an immense potential as novel non-invasive biomarker(s) that could complement BC diagnosis.
引用
收藏
页码:1491 / 1499
页数:9
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