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Meta-analysis of the value of long-chain non-coding RNA-UCA1 in the diagnosis of bladder cancer |
LUO Xiaoli* XIAO Yanping* LIN Yingfeng* CUI Zhaolei CHEN Yan |
Laboratory of Biochemistry and Molecular Biology Research, Department of Clinical Laboratory, Fujian Cancer Hospital and Fujian Medical University Cancer Hospital, Fujian Province, Fuzhou 350014, China |
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Abstract 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; QUADAS-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-UCA1 based on GAPDH as internal reference (AUC: 0.98) was higher than that of non-GAPDH (AUC: 0.85); the detection efficiency of lncRNA-UCA1 based on urine as detection matrix was higher (sensitivity: 0.78; specificity: 0.86; AUC: 0.93). Conclusion lncRNA-UCA1 has high clinical value in the diagnosis of bladder cancer.
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