A meta-analysis: Is there any association between MiR-608 rs4919510 polymorphism and breast cancer risks?

Jing Wang,Xiangyu Wang,Zeyu Xing,Xiangyi Kong,Yi Fang,Jidong Gao,Jie Zhai,Graham R Wallace

doi:10.1371/journal.pone.0183012

Abstract

ObjectTo combine the data from previously conducted studies about the associations between miR-608 rs4919510 polymorphism (C>G) and breast cancer risks.MethodsAccording to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a systematic review of the related literatures searched from PubMed, Embase, Cochrane Library, Web of Science, and China National Knowledge Internet (CNKI) (time: ~ December 2016). Using DerSimonian-Laird random-effects models [Pooling Model: Mantel Haenszel (MH)], odd ratios (ORs) with 95% confidence intervals (95% CIs) were estimated in the allele model, homozygote model, heterozygote model, dominant model and recessive model. Heterogeneity was analyzed using Labbr plots and I2 statistic. Publication bias was analyzed using contour-enhanced funnel plots.ResultsWe included 5 eligible studies with 7948 patients. The ORs and their 95% CIs in the 5 genetic models mentioned above were 1.009 (95% CI: 0.922, 1.104; p = 0.847), 1.098 (95% CI: 0.954, 1.264; p = 0.194), 1.076 (95% CI: 0.956, 1.211; p = 0.227), 1.043 (95% CI: 0.880, 1.236; p = 0.628), 1.007 (95% CI: 0.906, 1.118; p = 0.899), respectively.ConclusionIn the present meta-analysis, no relationships between miR-608 rs4919510 polymorphism (C>G) and the risk of breast cancer were found. More studies are warranted to further validate the conclusion.

Highlights

As one of the malignancies with the highest incidence and mortality rates globally, breast cancer accounts for more than a million cases every year[1, 2]
The odd ratios (ORs) and their 95% confidence intervals (95% CIs) in the 5 genetic models mentioned above were 1.009, 1.098, 1.076, 1.043, 1.007, respectively
In Huang’s report, the results showed that the single nucleotide polymorphism (SNP) could alter the secondary structure of primary miR-608[11]

Summary

Methods

According to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a systematic review of the related literatures searched from PubMed, Embase, Cochrane Library, Web of Science, and China National Knowledge Internet (CNKI) (time: ~ December 2016). Using DerSimonian-Laird random-effects models [Pooling Model: Mantel Haenszel (MH)], odd ratios (ORs) with 95% confidence intervals (95% CIs) were estimated in the allele model, homozygote model, heterozygote model, dominant model and recessive model. Heterogeneity was analyzed using Labbr plots and I2 statistic. Publication bias was analyzed using contour-enhanced funnel plots

Results

Conclusion

Introduction

Discussion