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基因预测的循环蛋白浓度与子宫内膜癌风险之间的关联。

Associations between Genetically Predicted Circulating Protein Concentrations and Endometrial Cancer Risk.

作者信息

Zhu Jingjing, O'Mara Tracy A, Liu Duo, Setiawan Veronica Wendy, Glubb Dylan, Spurdle Amanda B, Fasching Peter A, Lambrechts Diether, Buchanan Daniel, Kho Pik Fang, Cook Linda S, Friedenreich Christine, Lacey James V, Chen Chu, Wentzensen Nicolas, De Vivo Immaculata, Sun Yan, Long Jirong, Du Mengmeng, Shu Xiao-Ou, Zheng Wei, Wu Lang, Yu Herbert

机构信息

Population Sciences in the Pacific Program, Cancer Epidemiology Division, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA.

Department of Genetics and Computational Biology, QIMR Berghofer Medical Research Institute, Brisbane, QLD 4006, Australia.

出版信息

Cancers (Basel). 2021 Apr 26;13(9):2088. doi: 10.3390/cancers13092088.

Abstract

Endometrial cancer (EC) is the leading female reproductive tract malignancy in developed countries. Currently, genome-wide association studies (GWAS) have identified 17 risk loci for EC. To identify novel EC-associated proteins, we used previously reported protein quantitative trait loci for 1434 plasma proteins as instruments to evaluate associations between genetically predicted circulating protein concentrations and EC risk. We studied 12,906 cases and 108,979 controls of European descent included in the Endometrial Cancer Association Consortium, the Epidemiology of Endometrial Cancer Consortium, and the UK Biobank. We observed associations between genetically predicted concentrations of nine proteins and EC risk at a false discovery rate of <0.05 (-values range from 1.14 × 10 to 3.04 × 10). Except for vascular cell adhesion protein 1, all other identified proteins were independent from known EC risk variants identified in EC GWAS. The respective odds ratios (95% confidence intervals) per one standard deviation increase in genetically predicted circulating protein concentrations were 1.21 (1.13, 1.30) for DNA repair protein RAD51 homolog 4, 1.27 (1.14, 1.42) for desmoglein-2, 1.14 (1.07, 1.22) for MHC class I polypeptide-related sequence B, 1.05 (1.02, 1.08) for histo-blood group ABO system transferase, 0.77 (0.68, 0.89) for intestinal-type alkaline phosphatase, 0.82 (0.74, 0.91) for carbohydrate sulfotransferase 15, 1.07 (1.03, 1.11) for D-glucuronyl C5-epimerase, and 1.07 (1.03, 1.10) for CD209 antigen. In conclusion, we identified nine potential EC-associated proteins. If validated by additional studies, our findings may contribute to understanding the pathogenesis of endometrial tumor development and identifying women at high risk of EC along with other EC risk factors and biomarkers.

摘要

子宫内膜癌(EC)是发达国家女性生殖道最常见的恶性肿瘤。目前,全基因组关联研究(GWAS)已确定了17个EC风险位点。为了鉴定新的EC相关蛋白,我们使用先前报道的1434种血浆蛋白的蛋白质数量性状位点作为工具,来评估基因预测的循环蛋白浓度与EC风险之间的关联。我们研究了纳入子宫内膜癌协会联盟、子宫内膜癌流行病学联盟和英国生物银行的12906例欧洲血统病例和108979例对照。我们观察到9种蛋白的基因预测浓度与EC风险之间存在关联,错误发现率<0.05(P值范围为1.14×10至3.04×10)。除血管细胞粘附蛋白1外,所有其他鉴定出的蛋白均独立于EC GWAS中鉴定出的已知EC风险变异。基因预测的循环蛋白浓度每增加一个标准差,相应的优势比(95%置信区间)分别为:DNA修复蛋白RAD51同源物4为1.21(1.13,1.30),桥粒芯糖蛋白-2为1.27(1.14,1.42),MHC I类多肽相关序列B为1.14(1.07,1.22),组织血型ABO系统转移酶为1.05(1.02,1.08),肠型碱性磷酸酶为0.77(0.68,0.89),碳水化合物硫酸转移酶15为0.82(0.74,0.91),D-葡萄糖醛酸C5-表异构酶为1.07(1.03,1.11),CD209抗原为1.07(1.03,1.10)。总之,我们鉴定出9种潜在的EC相关蛋白。如果通过进一步研究得到验证,我们的发现可能有助于理解子宫内膜肿瘤发生的机制,并识别出EC高危女性以及其他EC风险因素和生物标志物。

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