Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Review
. 2018 Apr;97(14):e0302.
doi: 10.1097/MD.0000000000010302.

Association between PRKAA1 rs13361707 T>C polymorphism and gastric cancer risk: Evidence based on a meta-analysis

Affiliations
Review

Association between PRKAA1 rs13361707 T>C polymorphism and gastric cancer risk: Evidence based on a meta-analysis

You Jiang et al. Medicine (Baltimore). 2018 Apr.

Abstract

Background: Recently, several published studies investigating the relationship between protein kinase catalytic subunit alpha-1 gene (PRKAA1) rs13361707 T>C polymorphism and gastric cancer (GC) susceptibility reported controversial results. The purpose of this meta-analysis was to estimate the strength of the relationship.

Methods: Qualified studies were identified form a comprehensive search conducted in the Embase, Pubmed, Wangfang, and China National Knowledge Infrastructure (CNKI) databases for studies published before February 12, 2018. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the relationship between the PRKAA1 rs13361707 T>C polymorphism and GC risk.

Results: Fifteen independent case-control studies, which included 14,615 GC patients and 18,143 control subjects, were included in this present meta-analysis. The overall analysis of the 15 studies indicated that the PRKAA1 rs13361707 T>C polymorphism significantly increased susceptibility for GC in all genetic models. When stratified analysis was carried out by country and source of controls, similar results were found in each subgroup, except for the Hispanic Americans. There was no publication bias in our study. Omitting each study 1 at a time in the sensitivity analysis of the PRKAA1 rs13361707 T>C polymorphism and GC risk had no noticeable influence on the pooled OR, which identified the reliability of the meta-analysis. False-positive report probability analysis and trial sequential analysis demonstrated that such relationship was confirmed in the present study.

Conclusions: The meta-analysis reveals that the PRKAA1 rs13361707 T>C polymorphism has a significant relationship with increased GC risk. To confirm the risk identified in the present meta-analysis, well-designed and large-scale case-control studies are warranted to investigate the relationship, especially among non-Asian ethnicity.

PubMed Disclaimer

Conflict of interest statement

The authors declare that there were no conflicts of interest.

Figures

Figure 1
Figure 1
Flow chart of studies selection in this meta-analysis.
Figure 2
Figure 2
Forest plots of the PRKAA1 rs13361707 T>C polymorphism and gastric cancer risk (heterozygous: CC vs CT).
Figure 3
Figure 3
Forest plots of the PRKAA1 rs13361707 T>C polymorphism and gastric cancer risk in subgroup by country (heterozygous: CC vs CT).
Figure 4
Figure 4
Forest plots of the PRKAA1 rs13361707 T>C polymorphism and gastric cancer risk in subgroup by source of controls (heterozygous: CC vs CT).
Figure 5
Figure 5
Sensitivity analysis of the PRKAA1 rs13361707 T>C polymorphism and gastric cancer risk (heterozygous: CC vs CT).
Figure 6
Figure 6
Funnel plot assessing evidence of publication bias (heterozygous: CC vs CT).

References

    1. Torre LA, Bray F, Siegel RL, et al. Global cancer statistics, 2012. CA Cancer J Clin 2015;65:87–108. - PubMed
    1. Ferlay J, Soerjomataram I, Dikshit R, et al. Cancer incidence and mortality worldwide: sources, methods and major patterns in GLOBOCAN 2012. Int J Cancer 2015;136:E359–86. - PubMed
    1. Chen W, Zheng R, Baade PD, et al. Cancer Statistics in China, 2015. CA Cancer J Clin 2016;66:115–32. - PubMed
    1. Siegel RL, Miller KD, Jemal A. Cancer statistics, 2016. CA Cancer J Clin 2016;66:7–30. - PubMed
    1. Crew KD, Neugut AI. Epidemiology of gastric cancer. World J Gastroenterol 2006;12:354–62. - PMC - PubMed

Substances