Association between NEAT1 polymorphism and the risk of lung cancer: A protocol for systematic review and meta-analysis

Medicine (Baltimore). 2021 Apr 23;100(16):e25478. doi: 10.1097/MD.0000000000025478.

Abstract

Background: Long noncoding RNAs play vital roles in development and progression of lung cancers. Nuclear paraspeckle assembly transcript 1 (NEAT1) polymorphisms were reported to be closely related to lung cancer susceptibility. Recently, numerous studies have been performed to detect the association between NEAT1 polymorphisms and lung cancer susceptibility. However, their results were inconsistent and controversial. So, we carried out a meta-analysis aiming to define the association exactly.

Methods: Appropriate studies were retrieved from searching Web of Science, PubMed, Scopus, and Google scholar databases, updated January 31, 2021. The pooled odds ratios with 95% confidence intervals were calculated to estimate the strength of the association between NEAT1 polymorphisms and lung cancer risk. All of the data were analyzed with Stata 16.0.

Results: The results of this meta-analysis will be submitted to a peer-reviewed journal for publication.

Conclusion: This meta-analysis will summarize the relationship between NEAT1 polymorphism and lung cancer.

MeSH terms

  • Gene Expression Regulation, Neoplastic
  • Genetic Predisposition to Disease*
  • Humans
  • Lung Neoplasms / epidemiology
  • Lung Neoplasms / genetics*
  • Lung Neoplasms / pathology
  • Meta-Analysis as Topic
  • Polymorphism, Single Nucleotide
  • RNA, Long Noncoding / genetics*
  • Risk Factors
  • Systematic Reviews as Topic

Substances

  • NEAT1 long non-coding RNA, human
  • RNA, Long Noncoding