Zhao Yue, Yu Ya-Qi, You Song, Zhang Chang-Mao, Wu Liang, Zhao Wenxiu, Wang Xiao-Min
Department of Hepatobiliary Surgery, Zhongshan Hospital, Xiamen University, Fujian Provincial Key Laboratory of Chronic Liver Disease and Hepatocellular Carcinoma, Xiamen, Fujian 361004, People's Republic of China.
Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University Munich, Munich 81377, Germany.
Onco Targets Ther. 2020 Jun 19;13:5807-5817. doi: 10.2147/OTT.S250796. eCollection 2020.
Accumulating studies have explored the potential diagnostic value of lncRNA MALAT1 in various cancers. However, there are still inconsistent results in diagnostic accuracy and reliability in individual studies. The aim of this pooled study was to summarize the overall diagnostic capacity of lncRNA MALAT1 in cancer detection and diagnosis.
Eligible studies satisfying the inclusion criteria were screened and selected from the online database. All statistical analyses were performed using Stata 14.0.
A total of 17 eligible studies were included in this pooled analysis, with 1777 cases and 1478 controls. The overall results were shown as follows: sensitivity, 0.74 (95% CI=0.65-0.81), specificity, 0.79 (95% CI=0.73-0.84), positive likelihood ratio (PLR), 3.48 (95% CI=2.79-4.32), negative likelihood, 0.33 (95% CI=0.25-0.44), diagnostic score, 2.34 (95% CI=1.99-2.69), diagnostic odds ratio, 10.41 (95% CI=7.33-14.78) and area under the curve, 0.83 (95% CI=0.80-0.86). Deeks' funnel plot asymmetry test (p = 0.66) suggested no potential publication bias.
All these results indicate that lncRNA MALAT1 achieves a relatively moderate accuracy in cancer detection and diagnosis, and could serve as a diagnostic biomarker for cancers.
越来越多的研究探索了长链非编码RNA MALAT1在各种癌症中的潜在诊断价值。然而,个别研究在诊断准确性和可靠性方面仍存在不一致的结果。这项汇总研究的目的是总结长链非编码RNA MALAT1在癌症检测和诊断中的总体诊断能力。
从在线数据库中筛选并选择符合纳入标准的合格研究。所有统计分析均使用Stata 14.0进行。
这项汇总分析共纳入17项合格研究,包括1777例病例和1478例对照。总体结果如下:敏感性为0.74(95%CI=0.65-0.81),特异性为0.79(95%CI=0.73-0.84),阳性似然比(PLR)为3.48(95%CI=2.79-4.32),阴性似然比为0.33(95%CI=0.25-0.44),诊断评分2.34(95%CI=1.99-2.69),诊断比值比10.41(95%CI=7.33-14.78),曲线下面积0.83(95%CI=0.80-0.86)。Deeks漏斗图不对称性检验(p = 0.66)表明无潜在的发表偏倚。
所有这些结果表明,长链非编码RNA MALAT1在癌症检测和诊断中具有相对中等的准确性,可作为癌症的诊断生物标志物。