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Meta-Analysis
. 2021 Feb 26;41(2):BSR20193877.
doi: 10.1042/BSR20193877.

Predicted the P2RX7 rs3751143 polymorphism is associated with cancer risk: a meta-analysis and systematic review

Affiliations
Meta-Analysis

Predicted the P2RX7 rs3751143 polymorphism is associated with cancer risk: a meta-analysis and systematic review

Bi-Jun Wang et al. Biosci Rep. .

Abstract

Background: Both meta-analyses and systematic reviews were used to assess the relationship between purinergic receptor P2X ligand-gated ion channel 7 (P2RX7) rs3751143 polymorphism and the risk of cancer.

Materials and methods: The data used in this research were collected from Google Scholar, Web of Science, CNKI, and Wan Fang Data databases. The final retrieval ended on 22 February 2019. The strength of correlation was assessed using odds ratios and 95% confidence intervals. Based on the heterogeneity test results, fixed-effect (Mantel-Haenszel) or random-effects (DerSimonian-Laird) models were selected to summarise the collective effects.

Results: Eight separate studies containing 1462 cancer cases and 3037 controls were enrolled. Overall, there was no significant association between P2RX7 rs3751143 polymorphism and the risk of cancer in the allelic, homozygous, heterozygous, dominant, or recessive models.

Conclusions: Our meta-analysis indicates that there is no significant association between P2RX7 rs3751143 polymorphism and the risk of cancer in the allelic, homozygous, heterozygous, dominant, and recessive models.

Keywords: P2RX7; cancer; meta analysis; polymorphism; rs3751143.

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Conflict of interest statement

The authors declare that there are no competing interests associated with the manuscript.

Figures

Figure 1
Figure 1. The flow diagram of included/excluded studies
Figure 2
Figure 2. Begg’s funnel plot for P2RX7 gene rs3751143 polymorphism (M vs. W)
The x-axis log (OR) and the y-axis is natural logarithm of OR. The horizontal line in the figure represents the overall estimated log (OR). The two diagonal lines indicate the pseudo 95% confidence limits of the effect estimate. Log (OR) = log-transformed OR, OR = odds ratio.

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