Yu Xingxing, Zhang Yanyu, Lin Yuxiang, Zou Shuqing, Zhu Pingxiu, Song Mengjie, Fu Fangmeng, Yang Haomin
Department of Epidemiology and Health Statistics, School of Public Health, Fujian Medical University, Fuzhou, China.
Department of Breast Surgery, Fujian Medical University Union Hospital, Fuzhou, China.
Front Genet. 2023 Jan 4;13:1004931. doi: 10.3389/fgene.2022.1004931. eCollection 2022.
Despite the potential role of several chemokines in the migration of cytotoxic immune cells to prohibit breast cancer cell proliferation, a comprehensive view of chemokines and the risk and prognosis of breast cancer is scarce, and little is known about their causal associations. With a two-sample Mendelian randomization (MR) approach, genetic instruments associated with 30 plasma chemokines were created. Their genetic associations with breast cancer and its survival by molecular subtypes were extracted from the recent genome-wide association study of 133,384 breast cancer cases and 113,789 controls, with available survival information for 96,661 patients. We further tested the associations between the polygenic risk score (PRS) for chemokines and breast cancer in the UK Biobank cohort using logistic regression models, while the association with breast cancer survival was tested using Cox regression models. In addition, the association between chemokine expression in tumors and breast cancer survival was also analyzed in the TCGA cohort using Cox regression models. Plasma CCL5 was causally associated with breast cancer in the MR analysis, which was significant in the luminal and HER-2 enriched subtypes and further confirmed using PRS analysis (OR = 0.94, 95% CI = 0.89-1.00). A potential causal association with breast cancer survival was only found for plasma CCL19, especially for ER-positive patients. Although not replicated in the UK Biobank, we still found an inverse association between CCL19 expression in tumors and breast cancer overall and relapse-free survival in the TCGA cohort (HR = 0.58, 95% CI = 0.35-0.95). We observed an inverse association between genetic predisposition to CCL5 and breast cancer, while CCL19 was associated with breast cancer survival. These associations suggested the potential of these chemokines as tools for breast cancer prevention and treatment.
尽管多种趋化因子在细胞毒性免疫细胞迁移以抑制乳腺癌细胞增殖方面具有潜在作用,但关于趋化因子与乳腺癌风险及预后的全面观点却很匮乏,对它们之间的因果关联也知之甚少。采用两样本孟德尔随机化(MR)方法,构建了与30种血浆趋化因子相关的遗传工具。从最近一项对133384例乳腺癌病例和113789例对照进行的全基因组关联研究中提取了它们与乳腺癌及其按分子亚型划分的生存情况的遗传关联,其中96661例患者有可用的生存信息。我们在英国生物银行队列中使用逻辑回归模型进一步测试了趋化因子的多基因风险评分(PRS)与乳腺癌之间的关联,同时使用Cox回归模型测试了与乳腺癌生存的关联。此外,在TCGA队列中也使用Cox回归模型分析了肿瘤中趋化因子表达与乳腺癌生存之间的关联。在MR分析中,血浆CCL5与乳腺癌存在因果关联,在管腔型和HER-2富集亚型中具有显著性,并通过PRS分析得到进一步证实(OR = 0.94,95%CI = 0.89 - 1.00)。仅发现血浆CCL19与乳腺癌生存存在潜在因果关联,尤其是对于雌激素受体阳性患者。尽管在英国生物银行中未得到重复验证,但我们在TCGA队列中仍发现肿瘤中CCL19表达与乳腺癌总体及无复发生存呈负相关(HR = 0.58,95%CI = 0.35 - 0.95)。我们观察到CCL5的遗传易感性与乳腺癌呈负相关,而CCL19与乳腺癌生存相关。这些关联表明这些趋化因子作为乳腺癌预防和治疗工具的潜力。