Long Noncoding Rna Malat1 Acts As A Potential Biomarker in Cancer Diagnosis and Detection: A Meta-Analysis

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

Financial & competing interests disclosure

This research was supported by Health Care 3F Project of Shenzhen (Peking University First Hospital-The Second People’s Hospital of Shenzhen, Academician YingluGuo’s Team), the Shenzhen Key Medical Discipline Fund, Special Support Funds of Shenzhen for Introduced High-Level Medical Team, Shenzhen Foundation of Science and Technology (JCYJ20150330102720182) and Shenzhen Health and Family Planning Commission Scientific Research Project (201601025, 201606019). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed.

No writing assistance was utilized in the production of this manuscript.

Additional information

Funding

This research was supported by Health Care 3F Project of Shenzhen (Peking University First Hospital-The Second Peopleös Hospital of Shenzhen, Academician YingluGuoös Team), the Shenzhen Key Medical Discipline Fund, Special Support Funds of Shenzhen for Introduced High-Level Medical Team, Shenzhen Foundation of Science and Technology (JCYJ20150330102720182) and Shenzhen Health and Family Planning Commission Scientific Research Project (201601025, 201606019). The authors have no other relevant affiliations or financial involvement with any organization or entity with a financial interest in or financial conflict with the subject matter or materials discussed in the manuscript apart from those disclosed. No writing assistance was utilized in the production of this manuscript.