lncRNA-UCA1 in the diagnosis of bladder cancer: A meta-analysis

Medicine (Baltimore). 2021 Mar 19;100(11):e24805. doi: 10.1097/MD.0000000000024805.

Abstract

Background: The main purpose of this study is to systematically evaluate the diagnostic value of long-chain non-coding RNA urothelial carcinoembryonic antigen 1 (lncRNA-UCA1) for bladder cancer, and to provide a scientific basis for the diagnosis of bladder cancer.

Methods: By searching PubMed, Web of Science, EMBASE, CNKI, Wanfang, Weipu and other databases, in order to collect relevant literature of lncRNA-UCA1 for diagnosis of bladder cancer. The starting and ending time of the search is from the establishment of the database to December 31, 2019. Screen documents and extract data according to inclusion and exclusion criteria. QUADAS entry tool was used to evaluate the quality of literature. Meta-Disc 1.4 and Stata 12.0 software were used for statistical analysis, and UCA1 was combined for the statistics of bladder cancer diagnosis.

Results: A total of 7 articles were included in this study, including 954 cases of bladder cancer patients and 482 cases of non-bladder cancer patients. The receiver operating characteristic curve (ROC) curve AUC of lncRNA-UCA1 used to diagnose bladder cancer was 0.86. The sensitivity was 0.83 (95% CI: 0.80-0.85), and the specificity was 0.86 (95% CI: 0.82-0.89). The positive likelihood ratio is 6.38 (95% CI: 3.01-13.55), and the negative likelihood ratio is 0.20 (95% CI: 0.13-0.31). The diagnostic odds ratio is 33.13 (95% CI: 11.16-98.33).

Conclusion: lncRNA-UCA1 has a high value of clinical auxiliary diagnosis for bladder cancer, and it can be further promoted and applied clinically.

Publication types

  • Meta-Analysis
  • Systematic Review

MeSH terms

  • Adult
  • Area Under Curve
  • Biomarkers, Tumor / analysis
  • Case-Control Studies
  • Female
  • Humans
  • Male
  • Middle Aged
  • Odds Ratio
  • Predictive Value of Tests
  • RNA, Long Noncoding / analysis*
  • ROC Curve
  • Sensitivity and Specificity
  • Urinary Bladder Neoplasms / diagnosis*
  • Urinary Bladder Neoplasms / genetics

Substances

  • Biomarkers, Tumor
  • RNA, Long Noncoding
  • UCA1 RNA, human