Mendelian randomization analyses of genetically predicted circulating levels of cytokines with risk of breast cancer

利用孟德尔随机化分析基因预测的循环细胞因子水平与乳腺癌风险的关系

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Abstract

To determine whether genetically predicted circulating levels of cytokines are associated with risk of overall breast cancer (BC), estrogen receptor (ER)-positive and ER-negative BC, we conducted two-sample MR analyses using data from the most comprehensive genome-wide association studies (GWAS) on cytokines in 8293 Finnish participants and the largest BC GWAS from the Breast Cancer Association Consortium (BCAC) with totally 122,977 BC cases and 105,974 healthy controls. We systematically screened 41 cytokines (of which 24 cytokines have available instruments) and identified that genetically predicted circulating levels (1-SD increase) of MCP1 (OR: 1.08; 95% CIs: 1.03-1.12; P value: 3.55 × 10(-4)), MIP1b (OR: 1.02; 95% CIs: 1.01-1.04; P value: 2.70 × 10(-3)) and IL13 (OR: 1.06; 95% CIs: 1.03-1.10; P value: 3.33 × 10(-4)) were significantly associated with increased risk of overall BC, as well as ER-positive BC. In addition, higher levels of MIP1b and IL13 were also significantly associated with increased risk of ER-negative BC. These findings suggest the crucial role of cytokines in BC carcinogenesis and potential of targeting specific inflammatory cytokines for BC prevention.

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