Department of Clinical Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, China.
Department of Pathology, Chengdu First People's Hospital, Chengdu, China.
Biomed Res Int. 2020 Mar 23;2020:4947381. doi: 10.1155/2020/4947381. eCollection 2020.
Cervical cancer (CC) is one of the most common female malignant tumors. And cervical intraepithelial neoplasia (CIN) is the precancerous lesion of CC, which can progress to invasive CC. MicroRNAs (miRNAs) have been found to be potential diagnostic biomarkers for CIN or CC. However, recently, the lack of sufficient studies about the diagnostic value of miRNAs for CIN made it challenging to separately investigate the diagnostic efficacy of miRNAs for CIN. Likewise, the conclusions among those studies were discordant. Therefore, we conducted this meta-analysis, aimed at evaluating the diagnostic efficacy of miRNAs for CIN and CC patients.
Literature search was performed in PubMed, Embase, and Web of Science databases. Pooled sensitivity, specificity, and other diagnostic parameters were calculated through Stata 14.0 software. Furthermore, subgroup analyses and metaregression analysis were conducted to explore the main sources of heterogeneity.
Ten articles covering 50 studies were eligible, which included 5,908 patients and 4,819 healthy individuals. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) were 0.81 (95% CI, 0.77-0.85), 0.86 (95% CI, 0.83-0.89), 5.9 (95% CI, 4.5-7.7), 0.22 (95% CI, 0.17-0.28), 27 (95% CI, 17-44), and 0.91 (95% CI, 0.88-0.93), respectively. Additionally, the ethnicity and internal reference were the main sources of heterogeneity.
Circulating miRNAs can be a promising noninvasive diagnostic biomarker for CIN and early CC, especially miR-9 and miR-205, which need to be verified by large-scale studies.
宫颈癌（CC）是女性最常见的恶性肿瘤之一。宫颈上皮内瘤变（CIN）是 CC 的癌前病变，可以进展为浸润性 CC。已经发现 microRNAs（miRNAs）是 CIN 或 CC 的潜在诊断生物标志物。然而，最近由于缺乏足够的关于 miRNAs 对 CIN 的诊断价值的研究，使得分别研究 miRNAs 对 CIN 的诊断效能变得具有挑战性。同样，这些研究的结论也存在不一致。因此，我们进行了这项荟萃分析，旨在评估 miRNAs 对 CIN 和 CC 患者的诊断效能。
在 PubMed、Embase 和 Web of Science 数据库中进行文献检索。通过 Stata 14.0 软件计算合并的敏感性、特异性和其他诊断参数。此外，还进行了亚组分析和荟萃回归分析，以探讨异质性的主要来源。
纳入了 10 篇文章涵盖的 50 项研究，共包括 5908 名患者和 4819 名健康个体。合并的敏感性、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 0.81（95%CI，0.77-0.85）、0.86（95%CI，0.83-0.89）、5.9（95%CI，4.5-7.7）、0.22（95%CI，0.17-0.28）、27（95%CI，17-44）和 0.91（95%CI，0.88-0.93）。此外，种族和内部参考是异质性的主要来源。
循环 miRNAs 可能是 CIN 和早期 CC 的一种很有前途的非侵入性诊断生物标志物，特别是 miR-9 和 miR-205，需要通过大规模研究来验证。
