Yu Guozheng, Zhang Wei, Zhu Linyan, Xia Lin
Department of General Surgery, Huangshi Central Hospital of Edong Healthcare Group, Affiliated Hospital of Hubei Polytechnic University.
Hubei Key Laboratory of Kidney Disease Pathogenesis and Intervention.
Onco Targets Ther. 2018 Mar 16;11:1491-1499. doi: 10.2147/OTT.S152241. eCollection 2018.
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.
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.
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.
Upregulated lncRNAs reveal an immense potential as novel non-invasive biomarker(s) that could complement BC diagnosis.
聚焦最新文献,长链非编码RNA(lncRNA)失调在乳腺癌(BC)研究中已得到广泛探索。本荟萃分析的目的是综合异常表达的lncRNA对BC诊断性能的证据。
在多个电子数据库中检索相关研究。应用诊断准确性研究质量评估II标准评估纳入研究的质量。使用Stata 12.0软件应用双变量荟萃分析模型来综合诊断参数。根据Deek漏斗图不对称性检验判断发表偏倚。
我们纳入了10项符合条件的研究,本荟萃分析共纳入835例BC患者和725例配对对照。上调的lncRNA表达特征在确诊BC时的合并灵敏度、特异度、诊断比值比、阳性似然比、阴性似然比和曲线下面积(AUC)分别为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)和0.86。分层分析显示,基于血清分析的灵敏度为0.83(95%CI:0.80 - 0.86),高于基于血浆的分析,而基于血浆的分析显示特异度更高,为0.88(95%CI:0.85 - 0.91)。此外,lncRNA - 同源基因(HOX)转录反义RNA的合并特异度为0.89(95%CI:0.84 - 0.93),AUC为0.86,在诊断BC方面优于lncRNA - 转移相关肺腺癌转录本 - 1和 - H19的表现。值得注意的是,基于癌症亚型的分析表明,lncRNA表达特征可以区分三阴性BC(缺乏雌激素受体、孕激素受体和人表皮生长因子受体2表达)和非三阴性BC,AUC为0.85。
上调的lncRNAs作为新型非侵入性生物标志物显示出巨大潜力,可补充BC诊断。