Introduction: It is reported that there is a close association between interleukin-1β (IL-1β) gene polymorphisms and breast cancer risk. However, the results remain controversial. Material and methods: Eligible published articles were searched in PubMed, Embase, and Web of Science databases up to June 2018. Odds ratios with 95% confidence intervals were used to identify potential links between IL-1β genetic polymorphisms and the risk of breast cancer. Results: From our results, we found that three common polymorphisms in IL-1β (rs16944, rs1143634, rs1143627) had no significant associations with breast cancer risk in all genetic models. Based on the analysis from ethnic subgroups, there was a higher risk of breast cancer for rs16944 polymorphism in the recessive model and heterozygous model among Asians (TT vs. CC+CT: 1.229, 95% CI: 1.063-1.422, p = 0.005; TT vs. CT: 1.211, 95% CI: 1.057-1.388, p = 0.006). For the rs1143627 polymorphism, a significantly decreased breast cancer risk was observed in the dominant model only in Asians (CT+TT vs. CC: OR = 0.944, 95% CI: 0.897-0.994, p = 0.027). After stratifying patients according to the menopausal state, we found that polymorphism of rs1143627 correlated with reduced breast cancer risk among post-menopausal women in three genotype models: allele, recessive model and homozygous model (T vs C: 0.859, 95% CI: 0.753-0.98, p = 0.024; TT vs. CC+CT: 0.727, 95% CI: 0.576-0.918, p = 0.007; TT vs. CC: 0.743, 95% CI: 0.626-0.882, p = 0.001). As for other analyses with reference to source of controls and genotyping methods, no significant association between IL-1β polymorphism and breast cancer risk was demonstrated. Conclusions: The rs16944 and rs1143627 polymorphisms are significantly associated with the risk of breast cancer only in Asian people and in postmenopausal women respectively.
CITATION STYLE
Wang, B., & Yuan, F. (2022). The association between interleukin-1β gene polymorphisms and the risk of breast cancer: A systematic review and meta-analysis. Archives of Medical Science. Termedia Publishing House Ltd. https://doi.org/10.5114/aoms/99839
Mendeley helps you to discover research relevant for your work.