LBPO.PS01 · 人群科学 · Late-Breaking

编码药物代谢酶和药物转运体基因中遗传变异的多基因风险评分与发热性中性粒细胞减少的关联

Polygenic risk score of genetic variants in genes encoding drug-metabolizing enzymes and drug transporters, in association with febrile neutropenia

海报缩略图:编码药物代谢酶和药物转运体基因中遗传变异的多基因风险评分与发热性中性粒细胞减少的关联
编号 LB385 展板 15 时间 4/21 02:00–05:00 区域 Section 55 主讲 Sang Nguyen, MD;PhD
分会场 Late-Breaking Research: Population Sciences
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作者与单位 Authors & Affiliations

Sang Minh Nguyen1, Jirong Long2, Michael J. Robinson2, Vicki Keedy2, Travis Osterman2, Tuya Pal2, Ben Ho Park2, Debra L. Friedman2, Xiao Ou Shu2

1Vanderbilt University Medical Center, Nashville, TN,2Vanderbilt-Ingram Cancer Center, Nashville, TN

摘要 Abstract

中文摘要
编码药物代谢酶和药物转运体基因中的遗传变异可能影响化疗的疗效和毒性。多基因风险评分(PRS)捕捉这些遗传变异的聚合效应,可能有助于识别治疗毒性风险增加的患者。我们开展了一项研究,纳入分别接受蒽环类、烷化剂、紫杉烷类、铂类和抗代谢物为基础方案的1,710、1,897、4,143、4,398和4,779名欧洲血统癌症患者,以评估药物诱导发热性中性粒细胞减少(FN)的PRS。我们分析中使用的数据来自电子健康记录以及约96,000名Vanderbilt生物库(BioVU)参与者的遗传数据。FN定义为绝对中性粒细胞计数<1000/μL,或伴有中性粒细胞减少和发热诊断编码的住院、细菌/真菌感染诊断编码或抗生素使用。急性髓系白血病、骨髓移植以及使用预防性粒细胞集落刺激因子(G-CSF)的患者未纳入本研究。在接受蒽环类、烷化剂、紫杉烷类、铂类和抗代谢物药物的癌症患者中,分别有21.1%、16.7%、8.1%、9.1%和10.5%发生了FN。我们进行了对性别、年龄和前五个主成分校正的逻辑回归模型,以研究常见单核苷酸多态性(SNP)的关联。我们基于两组FN相关SNP推导PRS:1)靶向基因方法:研究药物代谢酶和药物转运体基因中错误发现率(FDR)校正后p<0.2的SNP;2)全局非靶向方法:基于FN全基因组关联研究(GWAS)中p<5×10^-6的SNP。在靶向基因方法中,我们基于涉及代谢或转运蒽环类、烷化剂、紫杉烷类、铂类和抗代谢物药物的17、11、14、13和19个靶向基因中的6、4、15、10和6个SNP构建了PRS。这些PRS每增加一个标准差与FN风险增加相关,比值比(OR)和p值分别为1.87(1.00x10^-17)、1.58(3.41x10^-22)、2.03(1.07x10^-29)、1.78(3.12x10^-28)和1.60(5.40x10^-20)。在全局非靶向方法中,我们基于与蒽环类、烷化剂、紫杉烷类、铂类和抗代谢物诱导FN显著相关的8、12、20、12和6个SNP构建了PRS,PRS每增加一个标准差与FN风险增加相关,OR分别为2.52(2.29x10^-32)、2.52(3.92x10^-33)、2.83(1.01x10^-59)、2.27(1.07x10^-47)和1.58(1.70x10^-28)。目前已有250,000名BioVU参与者的全基因组测序数据,这将提高GWAS的统计功效,并使我们能够验证PRS,以及在推导PRS时纳入药物代谢和转运基因中已知有功能但罕见的变异。更新结果将在会议上呈现。
查看英文原文 English abstract
Genetic variants in genes encoding drug-metabolizing enzymes and drug transporters may influence the efficacy and toxicity of chemotherapy. A polygenic risk score (PRS), capturing the aggregated effects of these genetic variants, may help to identify patients at increased risk of treatment toxicity. We conducted a study of 1,710, 1,897, 4,143, 4,398, and 4,779 European ancestry cancer patients who received anthracycline-, alkylating-, taxane-, platinum-, and antimetabolite-based regimens to evaluate the PRS of drug-induced febrile neutropenia (FN). Data utilized in our analysis were from electronic health records and genetic data from ~96,000 Vanderbilt Biobank (BioVU) participants. FN was defined as an absolute neutrophil count <1000/µL, or hospitalization with diagnosis codes of neutropenia, and fever, diagnosis code for bacterial/fungal infection, or antibiotic use. Patients with acute myeloid leukemia, bone marrow transplantation, and use of prophylactic Granulocyte Colony-Stimulating Factor (G-CSF) were not included in our study. Among cancer patients who received anthracycline, alkylating, taxane, platinum, and antimetabolite agents, 21.1%, 16.7%, 8.1%, 9.1%, and 10.5% experienced FN, respectively. We performed logistic regression models with adjustment for sex, age, and the first five principal components to investigate the association of common single-nucleotide polymorphisms (SNPs). We derived PRSs based on two sets of FN-related SNPs: 1) targeted gene approach: SNPs with false discovery rate (FDR)-corrected p<0.2 for metabolizing enzyme and drug transporter genes of study drugs; and 2) global untargeted approach: SNPs with p<5×10 -6 based on genome-wide association study (GWAS) of FN. In the targeted gene approach, we built PRSs based on 6, 4, 15, 10, and 6 SNPs in targeted 17, 11, 14, 13, and 19 genes involved in metabolizing or transporting anthracycline, alkylating, taxane, platinum, and antimetabolite agents. Per SD increase of these PRGs was associated with an increased risk of FN, with Odds ratio (OR) and p-value of 1.87 (1.00x10 -17 ), 1.58 (3.41x10 -22 ), 2.03 (1.07x10 -29 ), 1.78 (3.12x10 -28 ), and 1.60 (5.40 x10 -20 ), respectively. In the global untargeted approach, we built PRSs based on 8, 12, 20, 12, and 6 SNPs that were significantly associated with anthracycline-, alkylating-, taxane-, platinum-, and antimetabolite-induced FN, with a per-SD increase in the PRSs being associated with an increased risk of FN, OR of 2.52 (2.29x10 -32 ), 2.52 (3.92 x10 -33 ), 2.83 (1.01x10 -59 ), 2.27 (1.07 x10 -47 ), and 1.58 (1.70x10 -28 ). Whole-genome sequencing data are now available for 250,000 BioVu participants, which will increase the statistical power of GWAS and enable us to validate the PRSs and to include known functional, but rare, variants in drug metabolism and transport genes when deriving PRSs. Updated results will be presented at the conference.
利益披露 Disclosure
S. M. Nguyen, None.. J. Long, None.. M. J. Robinson, None.. V. Keedy, None.. T. Osterman, None.. T. Pal, None.. B. H. Park, None.. D. L. Friedman, None.. X. Shu, None.

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