Association between Matrix Metalloproteinase 1, 2, 3, and 7 Gene Polymorphisms and Susceptibility to Cervical Cancer: A Meta-Analysis

Chenchen Yang, Can Shi

Article ID: 7079
Vol 37, Issue 1, 2023
DOI: https://doi.org/10.23812/j.biol.regul.homeost.agents.20233701.29
Received: 8 February 2023; Accepted: 8 February 2023; Available online: 8 February 2023; Issue release: 8 February 2023

Abstract

Objective: This meta-analysis aimed to study the correlation between four polymorphisms in the matrix metalloproteinase (MMP) gene and risk of cervical cancer. Methods: Eligible studies were retrieved from PubMed, Cochrane Library, and Embase. Case-control studies that focused on polymorphic loci rs1799750 in MMP-1, rs243865 in MMP-2, rs3025058 in MMP-3, and rs11568818 in MMP-7 were included in the meta-analysis. Odds ratios (ORs) and 95% confidence intervals (CIs) were used to measure the effects of interest. Quality assessment, heterogeneity analysis, publication bias evaluation, and sensitivity analyses were performed to confirm the reliability of this meta-analysis. Results: Nine studies with 3790 subjects were included. There was significant heterogeneity for rs11568818 GA vs. AA, rs3025058 5A6A vs. 6A6A, and all genetic models of rs243865. There were significant differences in rs11568818 G vs. A (OR [95% CI]: 1.3059 [1.1484;1.4851], p value < 0.0001), GG vs. AA (OR [95% CI]: 1.6884 [1.2912;2.2078], p value: 0.0001), GG vs. AA+GA (OR [95% CI]: 1.6884 [1.2912;2.2078], p value: 0.0001), and GG+GA vs. AA genotype (OR [95% CI]: 1.3805 [1.1459;1.6632], p value: 0.0007);And rs3025058 5A vs. 6A (OR [95% CI]: 1.2078 [1.0379;1.4056], p value: 0.0147), 5A5A vs. 6A6A (OR [95% CI]: 1.4787 [1.0876;2.0103], p value: 0.0126), and 5A5A+5A6A vs. 6A6A (OR [95% CI]: 1.2747 [1.0104;1.6081], p value: 0.0406). There was no significant difference in any of the genetic models for rs1799750 and rs243865. No publication bias was observed in any of the genetic models. Conclusions: MMP-7 rs11568818 G/A and MMP-3 rs3025058 5A/6A were significantly associated with cervical cancer susceptibility.


Keywords

cervical cancer;MMP gene polymorphism;quality assessment;sensibility analysis


References

Supporting Agencies



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