Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece.
Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary's Campus, London, W2 1PG, UK.
BMC Med. 2022 Jan 11;20(1):3. doi: 10.1186/s12916-021-02193-0.
Epidemiological and experimental evidence has linked chronic inflammation to cancer aetiology. It is unclear whether associations for specific inflammatory biomarkers are causal or due to bias. In order to examine whether altered genetically predicted concentration of circulating cytokines are associated with cancer development, we performed a two-sample Mendelian randomisation (MR) analysis.
Up to 31,112 individuals of European descent were included in genome-wide association study (GWAS) meta-analyses of 47 circulating cytokines. Single nucleotide polymorphisms (SNPs) robustly associated with the cytokines, located in or close to their coding gene (cis), were used as instrumental variables. Inverse-variance weighted MR was used as the primary analysis, and the MR assumptions were evaluated in sensitivity and colocalization analyses and a false discovery rate (FDR) correction for multiple comparisons was applied. Corresponding germline GWAS summary data for five cancer outcomes (breast, endometrial, lung, ovarian, and prostate), and their subtypes were selected from the largest cancer-specific GWASs available (cases ranging from 12,906 for endometrial to 133,384 for breast cancer).
There was evidence of inverse associations of macrophage migration inhibitory factor with breast cancer (OR per SD = 0.88, 95% CI 0.83 to 0.94), interleukin-1 receptor antagonist with endometrial cancer (0.86, 0.80 to 0.93), interleukin-18 with lung cancer (0.87, 0.81 to 0.93), and beta-chemokine-RANTES with ovarian cancer (0.70, 0.57 to 0.85) and positive associations of monokine induced by gamma interferon with endometrial cancer (3.73, 1.86 to 7.47) and cutaneous T-cell attracting chemokine with lung cancer (1.51, 1.22 to 1.87). These associations were similar in sensitivity analyses and supported in colocalization analyses.
Our study adds to current knowledge on the role of specific inflammatory biomarker pathways in cancer aetiology. Further validation is needed to assess the potential of these cytokines as pharmacological or lifestyle targets for cancer prevention.
流行病学和实验证据将慢性炎症与癌症病因联系起来。目前尚不清楚特定炎症生物标志物的相关性是因果关系还是由于偏见所致。为了研究循环细胞因子的遗传预测浓度改变是否与癌症发展相关,我们进行了两样本孟德尔随机化(MR)分析。
纳入了欧洲血统的 31112 名个体,对 47 种循环细胞因子的全基因组关联研究(GWAS)荟萃分析进行了研究。位于或靠近其编码基因(顺式)的与细胞因子强相关的单核苷酸多态性(SNP)被用作工具变量。反方差加权 MR 被用作主要分析,在敏感性和共定位分析中评估了 MR 假设,并应用错误发现率(FDR)校正进行了多次比较。从可用的最大癌症特异性 GWAS 中选择了五个癌症结局(乳腺、子宫内膜、肺、卵巢和前列腺)及其亚型的相应种系 GWAS 汇总数据(从子宫内膜的 12906 例到乳腺癌的 133384 例)。
有证据表明巨噬细胞移动抑制因子与乳腺癌呈负相关(每标准差 OR = 0.88,95%CI 0.83 至 0.94),白细胞介素-1 受体拮抗剂与子宫内膜癌呈负相关(0.86,0.80 至 0.93),白细胞介素-18 与肺癌呈负相关(0.87,0.81 至 0.93),β-趋化因子-RANTES 与卵巢癌呈正相关(0.70,0.57 至 0.85),γ干扰素诱导的单核细胞增多症与子宫内膜癌呈正相关(3.73,1.86 至 7.47),皮肤 T 细胞吸引趋化因子与肺癌呈正相关(1.51,1.22 至 1.87)。这些相关性在敏感性分析中相似,并在共定位分析中得到支持。
我们的研究增加了关于特定炎症生物标志物途径在癌症病因学中的作用的现有知识。需要进一步验证来评估这些细胞因子作为癌症预防的药理学或生活方式靶点的潜力。