Cui Zhaolei, Lin Donghong, Song Wenfang, Chen Meihuan, Li Dan
Department of Clinical Laboratory, School of Medical Technology and Engineering, Fujian Medical University, 88 Jiaotong Road, Taijiang, Fuzhou, 350004, Fujian, China.
Tumour Biol. 2015 Feb;36(2):829-39. doi: 10.1007/s13277-014-2700-8. Epub 2014 Oct 9.
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.
最近的研究为循环微RNA（miRNA）对乳腺癌（BCa）的诊断价值提供了新的见解。然而，研究结果的不一致阻碍了miRNA在临床中的广泛应用。为了系统评估循环miRNA在BCa中的潜在诊断价值，我们进行了一项全面的荟萃分析。通过检索电子数据库获取符合条件的研究。根据诊断准确性研究的质量评估（QUADAS）标准对研究质量进行评估。采用双变量荟萃分析模型总结诊断指标并绘制汇总接受者操作特征（SROC）曲线。本荟萃分析共纳入15项研究，涉及1368例BCa患者和849例健康对照。我们的双变量随机效应荟萃分析得出曲线下面积（AUC）值为0.9217，使用miRNA区分BCa患者与健康对照的灵敏度为0.82（95%置信区间（CI）0.80 - 0.83），特异性为0.82（95%CI 0.80 - 0.85）。值得注意的是，我们的亚组分析表明，多种miRNA组合（AUC、灵敏度和特异性分别为0.9518、0.87和0.88）似乎比基于单一miRNA的检测方法（AUC、灵敏度和特异性分别为0.8923、0.79和0.77）具有更高的准确性。总之，我们的数据表明，循环miRNA谱有潜力用作BCa的筛查试验，其中，检测多种miRNA组合可能比单个miRNA是更全面的指标。
