OncoTargets and Therapy (Jun 2020)

Long Non-Coding RNA MALAT1 as a Detection and Diagnostic Molecular Marker in Various Human Cancers: A Pooled Analysis Based on 3255 Subjects

  • Zhao Y,
  • Yu Y,
  • You S,
  • Zhang C,
  • Wu L,
  • Zhao W,
  • Wang X

Journal volume & issue
Vol. Volume 13
pp. 5807 – 5817

Abstract

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Yue Zhao,1,2,* Ya-qi Yu,1,* Song You,3 Chang-mao Zhang,4 Liang Wu,5 Wenxiu Zhao,1 Xiao-min Wang1 1Department of Hepatobiliary Surgery, Zhongshan Hospital, Xiamen University, Fujian Provincial Key Laboratory of Chronic Liver Disease and Hepatocellular Carcinoma, Xiamen, Fujian 361004, People’s Republic of China; 2Department of General, Visceral, and Transplant Surgery, Ludwig-Maximilians-University Munich, Munich 81377, Germany; 3Mengchao Hepatobiliary Hospital of Fujian Medical University, The Liver Center of Fujian Province, Fujian Medical University, Fuzhou 350025, People’s Republic of China; 4Faculty of Clinical Medicine, Fujian Medical University, Fuzhou, Fujian, People’s Republic of China; 5Department of Nephrology, The First Affiliated Hospital of Xiamen University, Xiamen, Fujian 361003, People’s Republic of China*These authors contributed equally to this workCorrespondence: Xiao-min WangDepartment of Hepatobiliary Surgery, Zhongshan Hospital, Xiamen University, Fujian Provincial Key Laboratory of Chronic Liver Disease and Hepatocellular Carcinoma, Xiamen, Fujian 361004, People’s Republic of ChinaEmail [email protected]: Accumulating studies have explored the potential diagnostic value of lncRNA MALAT1 in various cancers. However, there are still inconsistent results in diagnostic accuracy and reliability in individual studies. The aim of this pooled study was to summarize the overall diagnostic capacity of lncRNA MALAT1 in cancer detection and diagnosis.Methods: Eligible studies satisfying the inclusion criteria were screened and selected from the online database. All statistical analyses were performed using Stata 14.0.Results: A total of 17 eligible studies were included in this pooled analysis, with 1777 cases and 1478 controls. The overall results were shown as follows: sensitivity, 0.74 (95% CI=0.65– 0.81), specificity, 0.79 (95% CI=0.73– 0.84), positive likelihood ratio (PLR), 3.48 (95% CI=2.79– 4.32), negative likelihood, 0.33 (95% CI=0.25– 0.44), diagnostic score, 2.34 (95% CI=1.99– 2.69), diagnostic odds ratio, 10.41 (95% CI=7.33– 14.78) and area under the curve, 0.83 (95% CI=0.80– 0.86). Deeks’ funnel plot asymmetry test (p = 0.66) suggested no potential publication bias.Conclusion: All these results indicate that lncRNA MALAT1 achieves a relatively moderate accuracy in cancer detection and diagnosis, and could serve as a diagnostic biomarker for cancers.Keywords: lncRNA, MALAT1, cancer, pooled analysis, detection, diagnosis

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