Zheng C, Hao H, Chen L, Shao J
Department of General Surgery, Second Affiliated Hospital of Nanchang University, Nanchang, 330000, China.
Jiangxi Province Key Laboratory of Molecular Medicine, Nanchang, 330000, China.
Clin Transl Oncol. 2017 Aug;19(8):961-968. doi: 10.1007/s12094-017-1626-1. Epub 2017 Feb 10.
Long noncoding RNAs (lncRNAs) are outstanding as novel cancer biomarkers with great prospects. Herein, we focused on summarizing the overall diagnostic evaluation of lncRNAs for hepatocellular carcinoma (HCC).
Relevant literature was collected from the online databases. The Quality Assessment for Studies of Diagnostic Accuracy checklist was used to assess the quality of included studies. The pooled sensitivity, specificity, and diagnostic odds ratio (DOR) were plotted using random-effects models. Summary receiver operating characteristic curve and the area under the curve (AUC) were used to estimate the overall test performance. Statistical analysis was performed by STATA 14.0 and Meta-DiSc 1.4 software.
Ten studies with a total of 820 HCC patients and 785 healthy controls were included. For overall lncRNAs, the pooled sensitivity, specificity, and DOR to predict HCC patients were 80% [95% confidence interval (CI) 77-82%], 79% (95% CI 76-81%), and 27.66 (95% CI 14.26-53.63), respectively, corresponding to an AUC of 0.91.
LncRNAs were a high diagnostic value for HCC and its expression could potentially be used as auxiliary biomarker in confirming HCC.
长链非编码RNA(lncRNAs)作为具有巨大前景的新型癌症生物标志物备受关注。在此,我们着重总结lncRNAs对肝细胞癌(HCC)的整体诊断评估。
从在线数据库收集相关文献。使用诊断准确性研究质量评估清单来评估纳入研究的质量。采用随机效应模型绘制合并敏感性、特异性和诊断比值比(DOR)。汇总受试者工作特征曲线和曲线下面积(AUC)用于估计整体测试性能。通过STATA 14.0和Meta-DiSc 1.4软件进行统计分析。
纳入了10项研究,共820例HCC患者和785例健康对照。对于总体lncRNAs,预测HCC患者的合并敏感性、特异性和DOR分别为80%[95%置信区间(CI)77 - 82%]、79%(95% CI 76 - 81%)和27.66(95% CI 14.26 - 53.63),对应的AUC为0.91。
LncRNAs对HCC具有较高的诊断价值,其表达有可能作为辅助生物标志物用于确诊HCC。