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MicroRNA-155 as a potential biomarker for breast cancer screening: a systematic review and meta-analysis

机译:MicroRNA-155作为乳腺癌筛查的潜在生物标志物:系统评价和荟萃分析

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摘要

1. Clinical significance of miR-155 on diagnosing human breast cancer is discussed. 2. The meta-analysis was conducted using STATA SE 12.0. 3. The results indicate that miR-155 exhibits satisfactory performance on diagnosis for breast. Background: It is aimed to evaluate the clinical significance of miR-155 on diagnosing human breast cancer. Methods: Eligible studies were identified through multiple search strategies. The search was updated up until April 10, 2020. Fagan’s nomogram, Publication bias, meta-regression, sensitive analysis, area under the summary receiver operating characteristic (AUC), diagnostic odds ratio as well as pooled sensitivity and specificity were utilized to assess the capacity of miR-155 for diagnosis. The meta-analysis was conducted and the origin of the heterogenic property was investigated by Stata SE 12.0 and Meta-Disc software. Results: The meta-analysis contained nine articles totally with the AUC, diagnostic odds ratio, specificity, pooled sensitivity of 0.90 (95% CI, 0.88–0.93), 28.63 (95% CI, 11.22–73.04), 0.82 (95% CI, 0.72–0.89) and 0.86 (95% CI, 0.76–0.93) separately. The negative and positive likelihood ratios were 0.14 and 5. Moreover, the heterogeneity was apparent but resulted from neither sensitivity analyses nor threshold effect. Conclusion: The evidence from this study indicates that miR-155 exhibits satisfactory performance on diagnosis for breast cancer.
机译:讨论了miR-155对诊断人乳腺癌的临床意义。 2.使用STATA SE 12.0进行META分析。 3.结果表明,MIR-155对乳房的诊断表现出令人满意的性能。背景:旨在评估miR-155对诊断人乳腺癌的临床意义。方法:通过多种搜索策略确定合格的研究。该搜索已更新到4月10日,2020年4月10日。Fagan的拓图,出版物偏见,元回归,敏感性分析,在总结接收器操作特征(AUC),诊断赔率比以及汇集的敏感性和特异性下,分析评估miR-155的能力诊断。进行了META分析,并通过STATA SE 12.0和Meta-Disc软件研究了异丙菌性质的来源。结果:META分析含有九篇文章,完全具有AUC,诊断差距,特异性,汇总敏感性0.90(95%CI,0.88-0.93),28.63(95%CI,11.22-73.04),0.82(95%CI分别为0.72-0.89)和0.86(95%CI,0.76-0.93)。阴性和阳性可能性比率为0.14和5.此外,异质性是明显的,但由于敏感性分析,因此导致敏感性分析也不是阈值效应。结论:本研究中的证据表明MIR-155对乳腺癌的诊断表现出令人满意的性能。

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