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长链非编码 RNA 作为乳腺癌潜在的预测生物标志物:一项荟萃分析。

Long Noncoding RNA Serve as a Potential Predictive Biomarker for Breast Cancer: A Meta-Analysis.

机构信息

College of Traditional Chinese Medicine of Jinan University, Guangzhou, China.

The First Affiliated Hospital of Jinan University, Guangzhou, China.

出版信息

Biomed Res Int. 2020 May 10;2020:9045786. doi: 10.1155/2020/9045786. eCollection 2020.

DOI:10.1155/2020/9045786
PMID:32462032
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7238389/
Abstract

PURPOSE

The detection of long noncoding RNA (lncRNA) is a novel method for breast cancer diagnosis. The purpose of this meta-analysis was to evaluate the clinical significance of lncRNAs in identification of human breast cancer.

METHODS

Electronic databases, including PubMed (176), EMBASE (167), Cochrane Library (4), Web of Science (273), CNKI (41), VIP (18), and wanfang (21), were searched for relevant original articles. Diagnostic capacity of lncRNAs was assessed by pooled sensitivity and specificity, area under the summary receiver operating characteristic curve (AUC), diagnostic odds ratio (DOR), and subgroup and meta-regression analysis. Stata and Meta-Disc software were used to conduct the meta-analysis.

RESULTS

33 articles including 4500 cases were identified in our meta-analysis. lncRNAs sustained a high diagnostic efficacy; the pooled sensitivity, specificity, AUC, and DOR of lncRNAs in differentiating BC from controls were 0.74 (95% CI: 0.69-0.78), 0.78 (95% CI: 0.72-0.83), 0.82 (95% CI: 0.79-0.85), and 10.01 (95% CI: 7.13-14.06), respectively. The subgroup analysis showed that the diagnostic efficacy of lncRNAs in Asian populations was higher than that in Caucasians; lncRNAs in BC were lower than those in TNBC and were higher in plasma and serum specimens than in tissues. In addition, heterogeneity was clearly apparent but was not caused by the threshold effect.

CONCLUSION

This meta-analysis suggested that lncRNAs might be promising biomarkers for identifying breast cancer, and its clinical application warrants further investigation.

摘要

目的

长链非编码 RNA(lncRNA)的检测是一种用于乳腺癌诊断的新方法。本荟萃分析的目的是评估 lncRNA 在鉴定人乳腺癌中的临床意义。

方法

检索了包括 PubMed(176)、EMBASE(167)、Cochrane 图书馆(4)、Web of Science(273)、CNKI(41)、VIP(18)和万方(21)在内的电子数据库,以获取相关的原始文章。通过汇总敏感性和特异性、汇总受试者工作特征曲线下面积(AUC)、诊断比值比(DOR)以及亚组和荟萃回归分析来评估 lncRNA 的诊断能力。使用 Stata 和 Meta-Disc 软件进行荟萃分析。

结果

本荟萃分析共纳入了 33 篇文章,包括 4500 例病例。lncRNA 具有较高的诊断效能;lncRNA 区分 BC 与对照组的汇总敏感性、特异性、AUC 和 DOR 分别为 0.74(95% CI:0.69-0.78)、0.78(95% CI:0.72-0.83)、0.82(95% CI:0.79-0.85)和 10.01(95% CI:7.13-14.06)。亚组分析显示,lncRNA 在亚洲人群中的诊断效能高于高加索人群;在 BC 中的表达低于三阴性乳腺癌(TNBC),在血浆和血清标本中的表达高于组织。此外,明显存在异质性,但不是由阈值效应引起的。

结论

本荟萃分析表明,lncRNA 可能是识别乳腺癌的有前途的生物标志物,其临床应用值得进一步研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/e6ab8f739480/BMRI2020-9045786.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/51c926077ff0/BMRI2020-9045786.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/1678231550db/BMRI2020-9045786.002.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/2921fc7e1e7d/BMRI2020-9045786.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/231fdd148368/BMRI2020-9045786.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/90d157119642/BMRI2020-9045786.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/5ea0b78a9e28/BMRI2020-9045786.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/e6ab8f739480/BMRI2020-9045786.009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/51c926077ff0/BMRI2020-9045786.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/1678231550db/BMRI2020-9045786.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/4e04efc7f0f4/BMRI2020-9045786.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/70fd01e44258/BMRI2020-9045786.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/2921fc7e1e7d/BMRI2020-9045786.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/231fdd148368/BMRI2020-9045786.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/90d157119642/BMRI2020-9045786.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/5ea0b78a9e28/BMRI2020-9045786.008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5d6f/7238389/e6ab8f739480/BMRI2020-9045786.009.jpg

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