结合种系药物基因组负担预测氟嘧啶相关毒性——PREPARE试验的二次分析

IF 7.3 1区 医学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY
Elena De Mattia, Yoomi Park, Elena Peruzzi, Yitian Zhou, Rossana Roncato, Jerry Polesel, Lucia Scarabel, Matthias Schwab, Henk-Jan Guchelaar, Jesse Joachim Swen, Michele Spina, Fabio Puglisi, Giuseppe Toffoli, Volker M Lauschke, Erika Cecchin
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引用次数: 0

摘要

目前在临床实践中实施了四种二氢嘧啶脱氢酶(DPYD)变体(DPYD* 2a, DPYD*13, c.2846 A > T, DPYD- hapb3)的检测,以预防氟嘧啶(FLs)相关的毒性,但灵敏度有限。本研究旨在利用PREPARE试验(NCT03093818)的数据,确定fl相关基因中的新遗传因素,以增强风险预测。对274名接受以fl为基础的严重毒性化疗的患者进行了60个候选基因测序。基因和通路水平的关联分析主要集中在罕见变异上,使用专门的统计检验,包括基因变异负担(GVB)分析。四种常规检测标记之外的DPYD种系变异负担出现有助于毒性,这表明更罕见的遗传变异可以帮助改进最佳FL剂量(p
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration of germline pharmacogenomic burden to predict fluoropyrimidine-related toxicity - A secondary analysis of the PREPARE trial.

Testing for four dihydropyrimidine dehydrogenase (DPYD) variants (DPYD*2 A, DPYD*13, c.2846 A > T, DPYD-HapB3) is currently implemented in clinical practice to prevent fluoropyrimidines (FLs) related toxicity but with limited sensitivity. This study aimed to identify novel genetic factors in FL-related genes to enhance risk prediction using data from the PREPARE trial (NCT03093818). Two hundred seventy-four patients receiving FL-based chemotherapy with severe toxicity were sequenced for 60 candidate genes. Gene and pathway-level association analyses focusing mainly on rare variants were performed using dedicated statistical tests, including gene-wise variant burden (GVB) analysis. DPYD germline variant burden beyond the four routinely tested markers emerged to contribute to toxicity, indicating that rarer genetic variants could help in refining the optimal FL dosage (p < 0.1). Functional rare variant burden in ABCB5, PARP1, ENOSF1, CYP3A4 and nuclear receptors pathway impacted on toxicity risk (p < 0.05 in at least one statistical test). GVB analysis confirmed ABCB5 as a significant risk gene and highlighted ABCC4, HNF4A, and XRCC3 as additional candidates. A predictive model combining genetic burden scores with clinical variables improved the identification of high-risk patients (sensitivity=0.71, specificity=0.74, accuracy=0.73). This study indicated a paradigm shift from population to individual-level arguing for an extension of testing beyond the four DPYD currently considered variants to predict FL-related toxicity.

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来源期刊
Oncogene
Oncogene 医学-生化与分子生物学
CiteScore
15.30
自引率
1.20%
发文量
404
审稿时长
1 months
期刊介绍: Oncogene is dedicated to advancing our understanding of cancer processes through the publication of exceptional research. The journal seeks to disseminate work that challenges conventional theories and contributes to establishing new paradigms in the etio-pathogenesis, diagnosis, treatment, or prevention of cancers. Emphasis is placed on research shedding light on processes driving metastatic spread and providing crucial insights into cancer biology beyond existing knowledge. Areas covered include the cellular and molecular biology of cancer, resistance to cancer therapies, and the development of improved approaches to enhance survival. Oncogene spans the spectrum of cancer biology, from fundamental and theoretical work to translational, applied, and clinical research, including early and late Phase clinical trials, particularly those with biologic and translational endpoints.
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