长链非编码RNA-UCA1对膀胱癌诊断价值的Meta分析

摘要

目的 通过Meta分析系统性评价长链非编码RNA尿路上皮癌相关1基因(lncRNA-UCAl)对膀脒癌的诊断价值.方法 检索PubMed、Web of Science、EMBASE、CNKI、万方、维普等数据库,收集lncRNA-UCA1用于膀胱癌诊断的相关文献,起止时间为建库至2018年7月31日.根据纳人与排除标准筛选文献、提取资料;应用 QUADAS-2条目工具评价文献质量,采用Meta-Disc 1.4和Stata 12.0软件进行统计分析,合并UCA1用于膀胱癌诊断的统计量.结果 共纳人6篇文献,其共含膀胱癌患者919例,非癌对照418例.lncRNA-UCAl用于区分膀胱癌和非癌对照的合并敏感度为0.7805％CI:0.76～0.80),特异度为0.87(95％CI:0.85～0.90),曲线下面积(AUC)为0.93.亚组分析结果 显示,基于GAPDH为内参的lncRNA-UCA1检测效能(AUC:0.98)高于非GAPDH(AUC: 0.85);以尿液为检测基质的lncRNA-UCA1分析具有较高的诊断效能(敏感度:0.78;特异度:0.86;AUC:0.93).结论 lncRNA-UCA1对膀胱癌有较高的临床辅助诊断价值.%Objective To systematically evaluate the diagnostic value of long-chain non-coding RNA urothelial carcinoma associated gene 1 (lncRNA-UCA1) for bladder cancer by meta-analysis. Methods PubMed, Web of Science, EMBASE, CNKI, Wanfang and VIP databases were retrieved. Literatures related to the use of lncRNA-UCA1 in the diagnosis of bladder cancer were collected, starting from the establishment of the database until July 31, 2018. According to inclusion and exclusion criteria, literatures were screened and data were extracted; QUAD AS-2 item tool was used to evaluate the quality of literature, Meta-Disc 1.4 and Stata 12.0 software were used for statistical analysis, and statistics on UCA1 for the diagnosis of bladder cancer were combined. Results A total of 6 articles were included, including 919 cases of bladder cancer and 418 cases of non-cancer control. The combined sensitivity of lncRNA-UCA1 was 0.78 (95％ CI: 0.76-0.80), specificity was 0.87 (95％ CI: 0.85-0.90),and area under curve (AUC) was 0.93. Subgroup analysis showed that the detection efficiency of lncRNA-UCAl based on GAPDH as internal reference (AUC: 0.98) was higher than that of non-GAPDH (AUC: 0.85); the detection efficiency of lncRNA-UCAl based on urine as detection matrix was higher (sensitivity: 0.78; specificity: 0.86; AUC: 0.93). Conclusion lncRNA-UCAl has high clinical value in the diagnosis of bladder cancer.