Clinically relevant circulating microRNA profiling studies in pancreatic cancer using meta-analysis.
Clinically relevant circulating microRNA profiling studies in pancreatic cancer using meta-analysis.
复制标题
使用荟萃分析对胰腺癌进行临床相关的循环 microRNA 分析研究。
DOI：
10.18632/oncotarget.15148
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发表时间：
2017-04-04
期刊：
影响因子：
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通讯作者：
Wang J
中科院分区：
文献类型：
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作者：
Pei Z;Liu SM;Huang JT;Zhang X;Yan D;Xia Q;Ji C;Chen W;Zhang X;Xu J;Wang J
胰腺癌（PaCa）是最致命的胃肠道肿瘤。尽管已经发表了许多关于差异表达mirna作为胰腺癌候选生物标志物的研究，但这些研究结果的可靠性仍然不清楚，这些研究结果是在单一实验室环境下进行的。这项荟萃分析纳入了29篇文章，共2225名患者和1618名对照。合并敏感性为82% (95% CI, 79-85%)；特异性为85% (95% CI, 79-89%)；曲线下面积（AUC）为0.89 （95% CI, 0.86 ~ 0.92）。亚组分析表明，在循环miRNA分析中，高加索人和亚洲人亚组之间存在显著差异。为了全面研究mirna作为疾病生物标志物的潜在用途，我们检索了PubMed、Medline、Embase、谷歌Scholar和中国知网数据库中使用mirna诊断PaCa的出版物。采用敏感性（SEN）、特异性（SPE）和总受试者工作特征（SROC）曲线对试验的总体性能进行检验，并采用I2检验分析异质性。我们的分析表明，多个miRNA （SEN: 85%; SPE: 89%; AUC: 0.93）诊断PaCa比单个miRNA （SEN: 78%; SPE: 79%; AUC: 0.84）更准确，未来的研究仍需证实这些混合miRNA对PaCa的诊断价值。
Pancreatic cancer (PaCa) is the most lethal gastrointestinal (GI) tumor. Although many studies on differentially expressed miRNAs as candidate biomarkers of pancreatic cancer have been published, reliability of these findings generated from investigations performed in single laboratory settings remain unclear. There were 29 articles with a total of 2,225 patients and 1,618 controls included in this meta-analysis. The pooled sensitivity was 82% (95% CI, 79–85%); the specificity was 85% (95% CI, 79–89%); and area under the curve (AUC) was 0.89 (95% CI, 0.86–0.92). Subgroup analyses indicated that there were significant divergences between Caucasian and Asian subgroups for circulating miRNA analysis. To comprehensively investigate the potential utility of miRNAs as biomarkers of the disease, we searched publications diagnosing PaCa using miRNAs from PubMed, Medline, Embase, Google Scholar and Chinese National Knowledge Infrastructure (CNKI) databases. The sensitivity (SEN), specificity (SPE), and summary receiver operating characteristic (SROC) curve were used to examine the overall test performance, and heterogeneity was analyzed with the I2 test. Our analysis demonstrated that multiple miRNAs (SEN: 85%; SPE: 89%; AUC: 0.93) were more accurate for diagnosing PaCa than a single miRNA (SEN: 78%; SPE: 79%; AUC: 0.84), and future studies are still needed to confirm the diagnostic value of these pooled miRNAs for PaCa.