Zhang Yang, Zhong Qi, Chen Xiaohong, Fang Jugao, Huang Zhigang
Department of Otolaryngology-Head and Neck Surgery, Beijing Tongren Hospital, Key Laboratory of Otolaryngology Head and Neck Surgery, Capital Medical University, No.1 Dongjiaominxiang Street, Dongcheng District, Beijing, 100730, China.
Tumour Biol. 2014 Sep;35(9):9343-53. doi: 10.1007/s13277-014-2209-1. Epub 2014 Jun 19.
Many studies have suggested that microRNAs (miRNAs) might serve as novel diagnostic indicators of thyroid cancer (TC). However, inconsistent results have also been reported. This meta-analysis was conducted to assess the diagnostic value of miRNAs in discriminating malignant thyroid nodules from benign ones on fine-needle aspiration samples. A systematic literature search for relevant literature published up to April 5, 2014 was conducted in PubMed, Embase, Chinese National Knowledge Infrastructure (CNKI), and Chinese Biological Medicine (CBM) databases. Data from different studies were pooled to estimate the summary sensitivity (SEN), specificity (SPE), positive likelihood ratios (PLR), negative likelihood ratios (NLR), diagnostic odds ratio (DOR), using the random-effect model. Summary receiver operator characteristic curves (SROCs) were plotted and areas under the SROC curve (AUC) were calculated to evaluate the overall test performance. Between-study heterogeneity was tested using the Q tests and the I (2) statistics. Potential sources of heterogeneity were analyzed through subgroup analyses and meta-regression. Deeks' funnel plot asymmetry test was performed to evaluate publication bias. All analyses were performed using STATA 12.0 software. Eighteen studies from 7 articles, including 543 patients with malignant thyroid nodules (n = 266) and benign ones (n = 277), were included in this meta-analysis. The pooled SEN was 0.77 (95 % CI: 0.70-0.83), SPN was 0.75 (95 % CI: 0.68-0.81), PLR was 3.1 (95 % CI: 2.4-4.0), NLR was 0.30 (95 % CI: 0.23-0.39), DOR was 10 (95 % CI: 7-16), and AUC was 0.83 (95 %CI: 0.79-0.86). Subgroup analyses indicated that multiple miRNAs assays showed a higher diagnostic accuracy than single miRNA assays. In conclusion, this meta-analysis suggests that miRNAs analysis can significantly improve diagnostic accuracy for differentiating malignant thyroid nodules from benign indeterminate ones on fine-needle aspiration (FNA) samples. With further confirmation, multiple miRNAs assays may play a critical role as a complement to fine-needle aspiration biopsy (FNAB).
许多研究表明,微小RNA(miRNA)可能作为甲状腺癌(TC)的新型诊断指标。然而,也有报道结果不一致。本荟萃分析旨在评估miRNA在细针穿刺样本中鉴别甲状腺恶性结节与良性结节的诊断价值。在PubMed、Embase、中国知网(CNKI)和中国生物医学数据库(CBM)中对截至2014年4月5日发表的相关文献进行了系统检索。采用随机效应模型汇总不同研究的数据,以估计汇总敏感度(SEN)、特异度(SPE)、阳性似然比(PLR)、阴性似然比(NLR)、诊断比值比(DOR)。绘制汇总受试者工作特征曲线(SROC)并计算曲线下面积(AUC)以评估总体检验性能。使用Q检验和I²统计量检验研究间异质性。通过亚组分析和Meta回归分析异质性的潜在来源。进行Deeks漏斗图不对称性检验以评估发表偏倚。所有分析均使用STATA 12.0软件进行。本荟萃分析纳入了7篇文章中的18项研究,包括543例甲状腺恶性结节患者(n = 266)和良性结节患者(n = 277)。汇总SEN为0.77(95%CI:0.70-0.83),SPN为0.75(95%CI:0.68-0.81),PLR为3.1(95%CI:2.4-4.0),NLR为0.30(95%CI:0.23-0.39),DOR为10(95%CI:7-16),AUC为0.83(95%CI:0.79-0.86)。亚组分析表明,多种miRNA检测的诊断准确性高于单一miRNA检测。总之,本荟萃分析表明,miRNA分析可显著提高细针穿刺(FNA)样本中鉴别甲状腺恶性结节与良性不确定结节的诊断准确性。经进一步证实,多种miRNA检测可能作为细针穿刺活检(FNAB)的补充发挥关键作用。