Biological basis of extensive pleiotropy between blood traits and cancer risk

IF 10.4 1区 生物学 Q1 GENETICS & HEREDITY
Miguel Angel Pardo-Cea, Xavier Farré, Anna Esteve, Joanna Palade, Roderic Espín, Francesca Mateo, Eric Alsop, Marc Alorda, Natalia Blay, Alexandra Baiges, Arzoo Shabbir, Francesc Comellas, Antonio Gómez, Montserrat Arnan, Alex Teulé, Monica Salinas, Laura Berrocal, Joan Brunet, Paula Rofes, Conxi Lázaro, Miquel Conesa, Juan Jose Rojas, Lars Velten, Wojciech Fendler, Urszula Smyczynska, Dipanjan Chowdhury, Yong Zeng, Housheng Hansen He, Rong Li, Kendall Van Keuren-Jensen, Rafael de Cid, Miquel Angel Pujana
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引用次数: 0

Abstract

The immune system has a central role in preventing carcinogenesis. Alteration of systemic immune cell levels may increase cancer risk. However, the extent to which common genetic variation influences blood traits and cancer risk remains largely undetermined. Here, we identify pleiotropic variants and predict their underlying molecular and cellular alterations. Multivariate Cox regression was used to evaluate associations between blood traits and cancer diagnosis in cases in the UK Biobank. Shared genetic variants were identified from the summary statistics of the genome-wide association studies of 27 blood traits and 27 cancer types and subtypes, applying the conditional/conjunctional false-discovery rate approach. Analysis of genomic positions, expression quantitative trait loci, enhancers, regulatory marks, functionally defined gene sets, and bulk- and single-cell expression profiles predicted the biological impact of pleiotropic variants. Plasma small RNAs were sequenced to assess association with cancer diagnosis. The study identified 4093 common genetic variants, involving 1248 gene loci, that contributed to blood–cancer pleiotropism. Genomic hotspots of pleiotropism include chromosomal regions 5p15-TERT and 6p21-HLA. Genes whose products are involved in regulating telomere length are found to be enriched in pleiotropic variants. Pleiotropic gene candidates are frequently linked to transcriptional programs that regulate hematopoiesis and define progenitor cell states of immune system development. Perturbation of the myeloid lineage is indicated by pleiotropic associations with defined master regulators and cell alterations. Eosinophil count is inversely associated with cancer risk. A high frequency of pleiotropic associations is also centered on the regulation of small noncoding Y-RNAs. Predicted pleiotropic Y-RNAs show specific regulatory marks and are overabundant in the normal tissue and blood of cancer patients. Analysis of plasma small RNAs in women who developed breast cancer indicates there is an overabundance of Y-RNA preceding neoplasm diagnosis. This study reveals extensive pleiotropism between blood traits and cancer risk. Pleiotropism is linked to factors and processes involved in hematopoietic development and immune system function, including components of the major histocompatibility complexes, and regulators of telomere length and myeloid lineage. Deregulation of Y-RNAs is also associated with pleiotropism. Overexpression of these elements might indicate increased cancer risk.
血液特征与癌症风险之间广泛多效性的生物学基础
免疫系统在防止癌变方面发挥着核心作用。全身免疫细胞水平的改变可能会增加患癌风险。然而,常见基因变异对血液特征和癌症风险的影响程度在很大程度上仍未确定。在此,我们确定了多效应变异,并预测了其潜在的分子和细胞改变。我们使用多变量 Cox 回归评估英国生物库中病例的血液特征与癌症诊断之间的关联。通过对 27 种血液特征和 27 种癌症类型及亚型的全基因组关联研究进行汇总统计,并采用条件/联合假发现率方法,确定了共有的遗传变异。对基因组位置、表达定量性状位点、增强子、调控标记、功能定义基因集以及批量和单细胞表达谱的分析预测了多向变异的生物学影响。对血浆小 RNA 进行了测序,以评估其与癌症诊断的关联性。研究发现了4093个常见的基因变异,涉及1248个基因位点,这些变异导致了血癌的多向性。多向性的基因组热点包括染色体区域 5p15-TERT 和 6p21-HLA。其产物参与调节端粒长度的基因被发现富含多向变异。多向变异基因候选者通常与转录程序有关,而转录程序可调节造血过程并确定免疫系统发育的祖细胞状态。髓系的干扰表现为多向变异与确定的主调节因子和细胞改变有关。嗜酸性粒细胞数量与癌症风险成反比。嗜酸性粒细胞数量与癌症风险成反比。多向性关联的高频率还集中在对小型非编码 Y-RNA 的调控上。预测的多向性 Y-RNAs 显示出特定的调控标记,并且在癌症患者的正常组织和血液中含量过高。对罹患乳腺癌的女性血浆小 RNA 的分析表明,在确诊肿瘤之前,Y-RNA 的数量过多。这项研究揭示了血液特征与癌症风险之间广泛的多向性。多向性与造血发育和免疫系统功能相关的因素和过程有关,包括主要组织相容性复合物的成分以及端粒长度和髓系的调节因子。Y-RNA 的失调也与多向性有关。这些元素的过度表达可能预示着癌症风险的增加。
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来源期刊
Genome Medicine
Genome Medicine GENETICS & HEREDITY-
CiteScore
20.80
自引率
0.80%
发文量
128
审稿时长
6-12 weeks
期刊介绍: Genome Medicine is an open access journal that publishes outstanding research applying genetics, genomics, and multi-omics to understand, diagnose, and treat disease. Bridging basic science and clinical research, it covers areas such as cancer genomics, immuno-oncology, immunogenomics, infectious disease, microbiome, neurogenomics, systems medicine, clinical genomics, gene therapies, precision medicine, and clinical trials. The journal publishes original research, methods, software, and reviews to serve authors and promote broad interest and importance in the field.
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