Na Li1, Zhigang Cui2, Sixuan Li1, Mingyang Song1, Ying Wang1, Lianwei Tong1, Min Gao1, Zhihua Yin3. 1. Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China; Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, PR China. 2. School of Nursing, China Medical University, Shenyang, China. 3. Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China; Key Laboratory of Cancer Etiology and Intervention, University of Liaoning Province, Shenyang, PR China. Electronic address: zhyin@cmu.edu.cn.
Abstract
BACKGROUND: Most studies revealed that microRNAs could play important roles in the development of various types of cancers. However, the findings remain inconsistent and controversial. To get more accurate results about the association of miR-26a-1 rs7372209 and miR-423 rs6505162 polymorphisms with risk of cancer, we conduct this meta-analysis. MATERIALS AND METHODS: We have searched relevant articles from the PubMed, Web of Science, Wanfang, and Chinese National Knowledge Infrastructure databases up to May 3, 2019. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were analyzed to assess the relationship between these two genetic polymorphisms and susceptibility to cancer. All statistical analyses were performed with Stata 12.0 software. RESULTS: Thirty-five articles were eligible in this meta-analysis, including 17,746 cases and 21,808 controls. Our results suggested that the miR-26a-1 rs7372209 polymorphism was associated with the susceptibility to overall cancer significantly in homozygote comparison and recessive model (TT versus CC: OR = 1.167, 95% CI: 1.025-1.329, P = 0.020; TT versus CT + CC: OR = 1.162, 95% CI: 1.025-1.318, P = 0.019). For miR-423 rs6505162, this study showed that the relationship between it and overall cancer susceptibility was statistically significant among five genetic models (CA versus CC: OR = 0.884, 95% CI: 0.806-0.969, P = 0.009; AA + CA versus CC: OR = 0.870, 95% CI: 0.789-0.959, P = 0.005; AA versus CA + CC: OR = 0.904, 95% CI: 0.827-0.988, P = 0.026; A versus C: OR = 0.899, 95% CI: 0.834-0.970, P = 0.006) rather than homozygote model. CONCLUSIONS: Rs7372209 in miR-26a-1 and rs6505162 in miR-423 are associated with overall cancer susceptibility.
BACKGROUND: Most studies revealed that microRNAs could play important roles in the development of various types of cancers. However, the findings remain inconsistent and controversial. To get more accurate results about the association of miR-26a-1 rs7372209 and miR-423 rs6505162 polymorphisms with risk of cancer, we conduct this meta-analysis. MATERIALS AND METHODS: We have searched relevant articles from the PubMed, Web of Science, Wanfang, and Chinese National Knowledge Infrastructure databases up to May 3, 2019. Pooled odds ratios (ORs) and 95% confidence intervals (CIs) were analyzed to assess the relationship between these two genetic polymorphisms and susceptibility to cancer. All statistical analyses were performed with Stata 12.0 software. RESULTS: Thirty-five articles were eligible in this meta-analysis, including 17,746 cases and 21,808 controls. Our results suggested that the miR-26a-1 rs7372209 polymorphism was associated with the susceptibility to overall cancer significantly in homozygote comparison and recessive model (TT versus CC: OR = 1.167, 95% CI: 1.025-1.329, P = 0.020; TT versus CT + CC: OR = 1.162, 95% CI: 1.025-1.318, P = 0.019). For miR-423 rs6505162, this study showed that the relationship between it and overall cancer susceptibility was statistically significant among five genetic models (CA versus CC: OR = 0.884, 95% CI: 0.806-0.969, P = 0.009; AA + CA versus CC: OR = 0.870, 95% CI: 0.789-0.959, P = 0.005; AA versus CA + CC: OR = 0.904, 95% CI: 0.827-0.988, P = 0.026; A versus C: OR = 0.899, 95% CI: 0.834-0.970, P = 0.006) rather than homozygote model. CONCLUSIONS: Rs7372209 in miR-26a-1 and rs6505162 in miR-423 are associated with overall cancer susceptibility.