Five Common Functional Polymorphisms in microRNAs (rs2910164, rs2292832, rs11614913, rs3746444, rs895819) and the Susceptibility to Breast Cancer: Evidence from 8361 Cancer Cases and 8504 Controls

Author(s): Zhi-Jun Dai, Yong-Ping Shao, Xi-Jing Wang, Dan Xu, Hua-Feng Kang, Hong-Tao Ren, Wei-Li Min, Shuai Lin, Meng Wang, Zhang-Jun Song.

Journal Name: Current Pharmaceutical Design

Volume 21 , Issue 11 , 2015

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Abstract:

Objectives: To evaluate the relationship between the five common polymorphisms in miRNAs (miR-146a rs2910164 G>C, miR-149 rs2292832 C>T, miR-196a2 rs11614913 C>T, miR-499 rs3746444 A>G and miR-27a rs895819 A>G), and breast cancer (BC) risk.

Methods: Meta-analyses were performed on 15 published studies involving 8, 361 BC patients and 8, 504 cancer-free controls. There were 8 studies with 4, 314 cases and 4, 485 controls for rs2910164, 3 studies with 1, 439 cases and 1, 508 controls for rs2292832, 10 studies with 4, 618 cases and 5, 590 controls for rs11614913, 5 studies with 2, 924 cases and 3, 563 controls for rs3746444, and 5 studies with 2, 912 cases and 3, 697 controls for rs895819. Summary odds ratios (ORs) and 95% confidence intervals (CIs) were used to evaluate the BC risk.

Results: Meta-analyses showed that rs2910164 (miR-146a) was associated with BC risk in Caucasian population (homozygote comparison: OR = 1.29, 95%CI = 1.02-1.63, P=0.03; dominant model: OR = 1.31, 95% CI = 1.05-1.65, P=0.02), whereas negative results were obtained for Asians in all genetic models. rs11614913 (miR-196a2) was associated with BC risk in the overall population based on the recessive model (OR = 0.89, 95% CI = 0.80-0.99, P=0.03). Association of rs3746444 (miR-499) with BC risk was detected under three genetic models (allele contrast genetic model: OR = 1.13, 95%CI = 1.03-1.23, P=0.007; homozygote comparison: OR = 1.36, 95 %CI = 1.10-1.69, P=0.005 and recessive model: OR = 1.38, 95% CI = 1.12-1.70, P=0.003). When stratified by ethnicity, the effects remained in Asians. rs895819 (miR-27a) was associated with BC risk in the overall population based on the allele contrast genetic model (OR = 0.91, 95%CI = 0.85-0.98, P=0.02); heterozygote comparison (OR = 0.89, 95 %CI = 0.80-0.99, P=0.03) and the dominant model (OR = 0.89, 95% CI = 0.80-0.98, P=0.02). However, there was no association between rs2292832 (miR-149) polymorphism and BC susceptibility.

Conclusion: Our meta-analysis results suggested that the rs2910164 and rs3746444 polymorphisms are associated with increased BC risk, while the rs11614913 and rs895819 polymorphisms correlate with reduced BC risk.

Keywords: Breast cancer, miRNAs, single nucleotide polymorphism, cancer susceptibility, meta-analysis.

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Article Details

VOLUME: 21
ISSUE: 11
Year: 2015
Page: [1455 - 1463]
Pages: 9
DOI: 10.2174/1381612821666141208143533
Price: $58

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