种系罕见有害变异负荷会改变癌症风险、发病年龄和肿瘤特征。
Germline rare deleterious variant load alters cancer risk, age of onset and tumor characteristics.
作者信息
Esai Selvan Myvizhi, Onel Kenan, Gnjatic Sacha, Klein Robert J, Gümüş Zeynep H
机构信息
Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
Center for Thoracic Oncology, Tisch Cancer Institute, Icahn School of Medicine at Mount Sinai, New York, NY, 10029, USA.
出版信息
NPJ Precis Oncol. 2023 Jan 27;7(1):13. doi: 10.1038/s41698-023-00354-3.
Recent studies show that rare, deleterious variants (RDVs) in certain genes are critical determinants of heritable cancer risk. To more comprehensively understand RDVs, we performed the largest-to-date germline variant calling analysis in a case-control setting for a multi-cancer association study from whole-exome sequencing data of 20,789 participants, split into discovery and validation cohorts. We confirm and extend known associations between cancer risk and germline RDVs in specific gene-sets, including DNA repair (OR = 1.50; p-value = 8.30e-07; 95% CI: 1.28-1.77), cancer predisposition (OR = 1.51; p-value = 4.58e-08; 95% CI: 1.30-1.75), and somatic cancer drivers (OR = 1.46; p-value = 4.04e-06; 95% CI: 1.24-1.72). Furthermore, personal RDV load in these gene-sets associated with increased risk, younger age of onset, increased M1 macrophages in tumor and, increased tumor mutational burden in specific cancers. Our findings can be used towards identifying high-risk individuals, who can then benefit from increased surveillance, earlier screening, and treatments that exploit their tumor characteristics, improving prognosis.
最近的研究表明,某些基因中的罕见有害变异(RDV)是遗传性癌症风险的关键决定因素。为了更全面地了解RDV,我们在一项多癌症关联研究的病例对照研究中,对20789名参与者的全外显子测序数据进行了迄今为止最大规模的种系变异检测分析,这些数据被分为发现队列和验证队列。我们证实并扩展了癌症风险与特定基因集中种系RDV之间的已知关联,包括DNA修复(比值比=1.50;p值=8.30×10⁻⁷;95%置信区间:1.28-1.77)、癌症易感性(比值比=1.51;p值=4.58×10⁻⁸;95%置信区间:1.30-1.75)和体细胞癌症驱动因素(比值比=1.46;p值=4.04×10⁻⁶;95%置信区间:1.24-1.72)。此外,这些基因集中的个人RDV负荷与风险增加、发病年龄较轻、肿瘤中M1巨噬细胞增加以及特定癌症中肿瘤突变负担增加相关。我们的研究结果可用于识别高危个体,这些个体随后可受益于加强监测、早期筛查以及利用其肿瘤特征的治疗,从而改善预后。
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