Long noncoding RNA MALAT1 acts as a potential biomarker in cancer diagnosis and detection: a meta-analysis

Biomark Med. 2019 Jan;13(1):45-54. doi: 10.2217/bmm-2018-0128. Epub 2018 Dec 18.

Abstract

Aim: it has been reported that metastasis-associated lung adenocarcinoma transcript 1 is abnormally expressed in various cancers.

Methods: eligible studies fulfilling the search criteria were selected from the online databases. Statistical analysis was performed based on the platforms of STATA 14.0.

Results: 12 studies were included in this study comprising 741 cases and 794 controls. The pooled results were shown as follows: sensitivity, 0.74 (95% CI: 0.64-0.82), specificity, 0.83 (95% CI: 0.75-0.88), positive likelihood ratio (PLR), 4.2 (95% CI: 3.00-5.90), negative likelihood, 0.32 (95% CI: 0.23-0.43), diagnostic odds ratio, 13 (95%CI: 8.00-21.00) and area under the curve, 0.85 (95%CI: 0.82-0.88). Deeks' funnel plot asymmetry test (p = 0.70) suggested no potential publication bias.

Conclusion: long noncoding RNA Metastasis-associated lung adenocarcinoma transcript 1 might be a usable biomarker for cancer diagnosis and detection.

Keywords: cancer; diagnosis; long noncoding RNA MALAT1; meta-analysis; prognosis.

Publication types

  • Meta-Analysis
  • Research Support, Non-U.S. Gov't
  • Systematic Review

MeSH terms

  • Biomarkers, Tumor / genetics*
  • Case-Control Studies
  • Humans
  • Neoplasm Metastasis
  • Neoplasms / diagnosis*
  • Prognosis
  • RNA, Long Noncoding / genetics*

Substances

  • Biomarkers, Tumor
  • MALAT1 long non-coding RNA, human
  • RNA, Long Noncoding