摘要
背景:循环microRNAs (miRNAs, miRs)现在被用作各种恶性肿瘤的无创诊断指标。 目的:我们的目的是使用荟萃分析来评估循环miRNA在胃癌中的诊断性能。 方法:在2021年10月15日之前,我们审查了数据库并有条不紊地获取了论文进行分析。随机效应荟萃分析用于构建合并诊断参数。为了发现异质性的原因,我们进行了spearman阈值效应分析和亚组分析。采用I2检验和卡方检验检验异质性。亚组分析基于样本类型(血清/血浆/血液)、归一化基因(U6、miR-16和miR-39)、qPCR母料(SYBR和Taqman)和国家进行。最后,采用Egger's漏斗图不对称检验估计发表偏倚。 结果:共纳入40篇文章,涵盖73项研究(59个microrna),包含11022名参与者(6324例病例和4698例对照)。总体合并敏感性、特异性、阳性似然比(PLR)、阴性似然比(NLR)、诊断优势比(DOR)和曲线下面积(AUC)分别为0.75 (95% CI: 0.74-0.77)、0.79 (95% CI: 0.78-0.80)、4.081 (95% CI: 3.43-4.85)、0.28 (95% CI: 0.25-0.32)、16.08 (95% CI: 12.34-20.95)和0.877 (CI: 0.84-0.90)。我们进行了诊断价值的亚组分析,结果显示血清型、U6内参基因、SYBR母料混合物和东亚国家(中国和日本)具有更好的诊断价值。 结论:循环miRs可作为胃癌的诊断性生物标志物。然而,在胃癌的诊断,特别是早期筛查中,仍需要发现特异性的miRNA。
关键词: 胃癌,循环miRNA,诊断,生物标志物,荟萃分析,无创诊断指标。
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