Department of Surgery II, School of Medicine, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan.
Institute of Medical Genetics, School of Medicine, Tokyo Women's Medical University, 8-1 Kawada-cho, Shinjuku-ku, Tokyo 162-8666, Japan.
Pharmacogenomics. 2019 Apr;20(5):353-365. doi: 10.2217/pgs-2018-0100. Epub 2019 Feb 8.
The aim of this study was to identify pharmacogenomic biomarkers to predict tegafur-uracil (UFT)-induced liver dysfunction. A total of 68 patients, who were administered UFT, were evaluated using a two-step pharmacogenomics analysis. The first screening revealed the association between five SNPs and UFT-induced hepatic dysfunction. In the second step, (rs4149056) was found to be the only SNP associated with UFT treatment-related elevation of aspartate aminotransferase (odds ratio: C/C vs T/T = 7.8, C/T vs T/T = 5.7; p = 0.037) and alanine transaminase (odds ratio: C/C vs T/T = 12.2, C/T vs T/T = 4.1; p = 0.034) levels. The polymorphisms are possible predictors of UFT treatment-related hepatic dysfunction.
本研究旨在确定预测替加氟-尿嘧啶(UFT)诱导肝损伤的药物基因组生物标志物。共 68 例接受 UFT 治疗的患者采用两步药物基因组学分析进行评估。第一步筛选发现五个 SNP 与 UFT 诱导的肝损伤之间存在关联。在第二步中,发现 (rs4149056) 是唯一与 UFT 治疗相关的天门冬氨酸氨基转移酶(丙氨酸氨基转移酶)升高相关的 SNP(比值比:C/C 比 T/T = 7.8,C/T 比 T/T = 5.7;p = 0.037)。多态性可能是 UFT 治疗相关肝损伤的预测因子。