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通过整合基因组和蛋白质组数据,在一项大型研究中鉴定乳腺癌遗传风险位点和血液风险生物标志物的靶蛋白。

Identification of target proteins for breast cancer genetic risk loci and blood risk biomarkers in a large study by integrating genomic and proteomic data.

机构信息

Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University Medical Center, Nashville, Tennessee, USA.

Department of Public Health Sciences, Center for Public Health Genomics, UVA Comprehensive Cancer Center, School of Medicine, University of Virginia, Charlottesville, Virginia, USA.

出版信息

Int J Cancer. 2023 Jun 1;152(11):2314-2320. doi: 10.1002/ijc.34472. Epub 2023 Feb 21.

Abstract

Genome-wide association studies (GWAS) have identified around 200 loci associated with breast cancer risk. However, protein targets for these loci remain largely unknown. Identifying protein targets and biomarkers can improve the understanding of cancer biology and etiology and identify high-risk individuals for cancer prevention. In this study, we investigated genetically predicted levels of 1142 circulating proteins with breast cancer risk in 133 384 cases and 113 789 controls of European ancestry included in the Breast Cancer Association Consortium (BCAC). We identified 22 blood protein biomarkers associated with the risk of overall breast cancer at a false discovery rate (FDR) <0.05, including nine proteins encoded by genes located at least 500 kb away from previously reported risk variants for breast cancer. Analyses focusing on 124 encoding genes located at GWAS-identified breast cancer risk loci found 20 proteins associated with overall breast cancer risk and one protein associated with triple-negative breast cancer risk at FDR <0.05. Adjustment for the GWAS-identified risk variants significantly attenuated the association for 13 of these proteins, suggesting that these proteins may be the targets of these GWAS-identified risk loci. The identified proteins are involved in various biological processes, including glutathione conjugation, STAT5 signaling and NF-κB signaling pathways. Our study identified novel protein targets and risk biomarkers for breast cancer risk.

摘要

全基因组关联研究(GWAS)已经确定了大约 200 个与乳腺癌风险相关的基因座。然而,这些基因座的蛋白质靶标在很大程度上仍然未知。鉴定蛋白质靶标和生物标志物可以提高对癌症生物学和病因学的理解,并确定癌症预防的高危个体。在这项研究中,我们调查了欧洲血统的 133384 例乳腺癌病例和 113789 例对照中,与乳腺癌风险相关的 1142 种循环蛋白的遗传预测水平,这些个体均包含在乳腺癌协会联盟(BCAC)中。我们确定了 22 个与总体乳腺癌风险相关的血液蛋白生物标志物,这些标志物的假发现率(FDR)<0.05,其中包括 9 个由距离先前报道的乳腺癌风险变体至少 500 kb 远的基因编码的蛋白质。针对位于 GWAS 确定的乳腺癌风险基因座的 124 个编码基因的分析发现,有 20 种蛋白质与总体乳腺癌风险相关,有一种蛋白质与三阴性乳腺癌风险相关,FDR<0.05。对 GWAS 确定的风险变体进行调整后,这些蛋白质中的 13 种与总体乳腺癌风险的关联显著减弱,表明这些蛋白质可能是这些 GWAS 确定的风险基因座的靶标。鉴定出的蛋白质参与了各种生物学过程,包括谷胱甘肽结合、STAT5 信号和 NF-κB 信号通路。我们的研究确定了乳腺癌风险的新的蛋白质靶标和风险生物标志物。

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