Gao Shuai-Shuai, Wang Yan-Jun, Zhang Guo-Xun, Zhang Wen-Ting
Department of Traumatology and Orthopedic Surgery, Xi'an Daxing Hospital, Shaanxi, China.
International Doctoral School, University of Seville, Spain.
J Bone Oncol. 2020 Oct 21;25:100327. doi: 10.1016/j.jbo.2020.100327. eCollection 2020 Dec.
Multiple myeloma (MM) is the second incurable hematological malignancy. In recent years, due to the rise of microRNA (miRNA), many scholars have participated in the study of its value in the diagnosis of MM, and have obtained good but inconsistent results. Therefore, in order to determine the role of miRNA in the early diagnosis of MM, we performed this -analysis.
We searched for related studies including PubMed, Web of Science, EMBASE, Cochrane Library, China National Knowledge Infrastructure (CNKI) and Wanfang Database as of July 20, 2020 to conduct this -analysis. To improve the accuracy, the quality assessment of Diagnostic Accuracy Study 2 (QUADAS-2) was used. We also applied random effects models to summarize sensitivity and specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR) and area under the curve (AUC) to measure diagnostic values, and subgroup analysis used to discover potential sources of heterogeneity.
We finally collected 32 studies from 15 articles that included a total of 2053 MM patients and 1118 healthy controls in this -analysis. The overall sensitivity, specificity, PLR, NLR, DOR and AUC were 0.81, 0.85, 5.5, 0.22, 25 and 0.90, respectively. Subgroup analysis shows that the down-regulation of microRNA clusters with larger samples size of plasma type could carry out a better diagnostic accuracy of MM patients. In addition, publication bias was not found.
Circulating miRNA could be a potential non-invasive biomarker for early diagnosis of MM. However, multi-center, more rigorous, and larger-scale studies are needed to verify our conclusions.
多发性骨髓瘤(MM)是第二大致命血液系统恶性肿瘤。近年来,由于微小RNA(miRNA)研究的兴起,许多学者参与了其在MM诊断中价值的研究,并取得了较好但不一致的结果。因此,为了确定miRNA在MM早期诊断中的作用,我们进行了本分析。
我们检索了截至2020年7月20日的相关研究,包括PubMed、Web of Science、EMBASE、Cochrane图书馆、中国知网(CNKI)和万方数据库,以进行本分析。为提高准确性,使用了诊断准确性研究2(QUADAS-2)的质量评估。我们还应用随机效应模型汇总敏感性和特异性、阳性似然比(PLR)、阴性似然比(NLR)、诊断比值比(DOR)和曲线下面积(AUC)来衡量诊断价值,并进行亚组分析以发现潜在的异质性来源。
在本分析中,我们最终从15篇文章中收集了32项研究,共纳入2053例MM患者和1118例健康对照。总体敏感性、特异性、PLR、NLR、DOR和AUC分别为0.81、0.85、5.5、0.22、25和0.90。亚组分析表明,样本量较大的血浆型微小RNA簇下调对MM患者具有更好的诊断准确性。此外,未发现发表偏倚。
循环miRNA可能是MM早期诊断的潜在非侵入性生物标志物。然而,需要多中心、更严格和更大规模的研究来验证我们的结论。