Experimental and Clinical Pharmacology, Centro di Riferimento Oncologico di Aviano (CRO) IRCCS, via Franco Gallini n. 2, 33081 Aviano PN, Italy.
Fondazione IRCCS Istituto Nazionale dei Tumori di Milano, Department of Applied Research and Technological Development, Via Giacomo Venezian 1, 20133 Milano, Italy.
Biomed Pharmacother. 2022 Oct;154:113644. doi: 10.1016/j.biopha.2022.113644. Epub 2022 Sep 2.
Preemptive targeted pharmacogenetic testing of candidate variations in DPYD is currently being used to limit toxicity associated with fluoropyrimidines. The use of innovative next generation sequencing (NGS) approaches could unveil additional rare (minor allele frequency <1%) genetic risk variants. However, their predictive value and management in clinical practice are still controversial, at least partly due to the challenges associated with functional analyses of rare variants. The aim of this study was to define the predictive power of rare DPYD variants burden on the risk of severe fluoropyrimidine-related toxicity. The DPYD coding sequence and untranslated regions were analyzed by NGS in 120 patients developing grade 3-5 (NCI-CTC vs3.0) fluoropyrimidine-related toxicity and 104 matched controls (no-toxicity). The functional impact of rare variants was assessed using two different in silico predictive tools (i.e., Predict2SNP and ADME Prediction Framework) and structural modeling. Plasma concentrations of uracil (U) and dihydrouracil (UH2) were quantified in carriers of the novel variants. Here, we demonstrate that the burden of rare variants was significantly higher in patients with toxicity compared to controls (p = 0.007, Mann-Whitney test). Carriers of at least one rare missense DPYD variant had a 16-fold increased risk in the first cycle and an 11-fold increased risk during the entire course of chemotherapy of developing a severe adverse event compared to controls (p = 0.013 and p = 0.0250, respectively by multinomial regression model). Quantification of plasmatic U/UH2 metabolites and in silico visualization of the encoded protein were consistent with the predicted functional effect for the novel variations. Analysis and consideration of rare variants by DPYD-sequencing could improve prevention of severe toxicity of fluoropyrimidines and improve patients' quality of life.
目前,针对 DPYD 候选变异的抢先靶向遗传检测被用于限制与氟嘧啶相关的毒性。创新性的下一代测序(NGS)方法的使用可能会揭示其他罕见(次要等位基因频率 <1%)的遗传风险变异。然而,它们在临床实践中的预测价值和管理仍存在争议,这至少部分是由于与罕见变异的功能分析相关的挑战所致。本研究旨在定义罕见 DPYD 变异负担对严重氟嘧啶相关毒性风险的预测能力。通过 NGS 分析了 120 名发生 3-5 级(NCI-CTC vs3.0)氟嘧啶相关毒性的患者和 104 名匹配对照(无毒性)的 DPYD 编码序列和非翻译区。使用两种不同的计算预测工具(即 Predict2SNP 和 ADME 预测框架)和结构建模评估罕见变异的功能影响。对携带新型变异的个体的尿嘧啶(U)和二氢尿嘧啶(UH2)的血浆浓度进行定量。在这里,我们证明与对照组相比,毒性患者的罕见变异负担明显更高(p = 0.007,Mann-Whitney 检验)。与对照组相比,在第一个周期中,至少携带一种罕见错义 DPYD 变异的患者发生严重不良事件的风险增加了 16 倍,在整个化疗过程中发生严重不良事件的风险增加了 11 倍(p = 0.013 和 p = 0.0250,分别为多元回归模型)。对血浆 U/UH2 代谢物的定量和编码蛋白的计算可视化与新型变异的预测功能效应一致。通过 DPYD 测序分析和考虑罕见变异可能会提高氟嘧啶严重毒性的预防效果,并提高患者的生活质量。