Suppr超能文献

基于循环脂肪因子和 C 反应蛋白的孟德尔随机化分析与乳腺癌风险的关联。

Mendelian randomisation analysis of circulating adipokines and C-reactive protein on breast cancer risk.

机构信息

Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

MRC Integrative Epidemiology Unit, Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK.

出版信息

Int J Cancer. 2020 Sep 15;147(6):1597-1603. doi: 10.1002/ijc.32947. Epub 2020 Mar 13.

Abstract

Circulating adipokines and C-reactive protein (CRP) have been linked to breast cancer risk in observational epidemiological studies. The causal nature of these associations is unclear because of the susceptibility of conventional observational designs to residual confounding, reverse causation and other forms of bias. Mendelian randomisation (MR) uses genetic variants as proxies for risk factors to strengthen causal inference in observational settings. We performed a MR analysis to evaluate the causal relevance of six previously reported circulating adipokines [adiponectin, hepatocyte growth factor (HGF), interleukin-6, leptin receptor, plasminogen activator inhibitor-1 and resistin] and CRP in risk of overall and oestrogen receptor-stratified breast cancer in up to 122,977 cases and 105,974 controls of European ancestry. Genetic instruments were constructed from single-nucleotide polymorphisms robustly (p < 5 × 10 ) associated with risk factors in genome-wide association studies. Colocalisation was performed as a sensitivity analysis to examine whether findings reflected shared causal variants or genomic confounding. In MR analyses, there was evidence for an association of HGF with oestrogen receptor-negative cancer (odds ratio per standard deviation increase: 1.17, 95% confidence interval: 1.01-1.35; p = 0.035) but little evidence for associations of other adipokines or CRP with overall or oestrogen receptor-stratified breast cancer. Colocalisation analysis suggested that the association of HGF with oestrogen receptor-negative breast cancer was unlikely to reflect a causal association. Collectively, these findings do not support an important aetiological role of various adipokines or CRP in overall or oestrogen receptor-specific breast cancer risk.

摘要

循环脂肪因子和 C 反应蛋白 (CRP) 在观察性流行病学研究中与乳腺癌风险相关。由于传统观察性设计易受残余混杂、反向因果关系和其他形式偏倚的影响,这些关联的因果性质尚不清楚。孟德尔随机化 (MR) 使用遗传变异作为危险因素的替代物,以加强观察性环境中的因果推断。我们进行了一项 MR 分析,以评估先前报道的六种循环脂肪因子 [脂联素、肝细胞生长因子 (HGF)、白细胞介素 6、瘦素受体、纤溶酶原激活物抑制剂 1 和抵抗素] 和 CRP 与整体和雌激素受体分层乳腺癌风险的因果关系,在欧洲血统的多达 122977 例病例和 105974 例对照中进行了研究。遗传工具是从全基因组关联研究中与危险因素显著相关(p < 5×10)的单核苷酸多态性构建而成。共定位分析作为一种敏感性分析,用于检查研究结果是否反映了共同的因果变异或基因组混杂。在 MR 分析中,HGF 与雌激素受体阴性癌症呈正相关(每标准偏差增加的比值比:1.17,95%置信区间:1.01-1.35;p = 0.035),但其他脂肪因子或 CRP 与整体或雌激素受体分层乳腺癌的相关性证据很少。共定位分析表明,HGF 与雌激素受体阴性乳腺癌的相关性不太可能反映因果关系。总的来说,这些发现不支持各种脂肪因子或 CRP 在整体或雌激素受体特异性乳腺癌风险中具有重要的病因作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3cdd/7497166/b0ca10f56a1f/IJC-147-1597-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验