Watanabe Aimi, Yamamoto Kazuhiro, Ioroi Takeshi, Hirata Sachi, Harada Kenichi, Miyake Hideaki, Fujisawa Masato, Nakagawa Tsutomu, Yano Ikuko, Hirai Midori
Division of Pharmacokinetics, Kobe University Graduate School of Medicine.
Biol Pharm Bull. 2017;40(4):458-464. doi: 10.1248/bpb.b16-00875.
Signal transducer and activator of transcription (STAT) 3 is a key factor in homeostasis of the oral mucosa by regulating the production of inflammatory cytokines. Sunitinib is a substrate of P-glycoprotein (multidrug resistance (MDR)-1/ABCB1) and breast-cancer resistance protein (BCRP/ABCG2). In this retrospective study, we evaluated the association between sunitinib-induced stomatitis and STAT3, ABCB1, and ABCG2 polymorphisms in patients with metastatic renal cell carcinoma (mRCC). Fifty-two Japanese patients with RCC treated with sunitinib were retrospectively genotyped to elucidate a potential association between STAT3, ABCB1, and ABCG2 polymorphisms and stomatitis development. Stomatitis occurred in 22 out of 52 patients. The TT+TC genotypes at STAT3 rs744166 had an odds ratio of 5.00 against CC genotype for the stomatitis development (95% confident interval, 0.97-25.8). In the Kaplan-Meier method for the cumulative incidence of stomatitis, a statistically significant difference was observed between the TT+TC and CC genotypes in STAT3 rs744166 (p=0.037). Both multiple logistic regression analysis and Cox proportional-hazards regression analysis show STAT3 rs744166 TT+TC genotypes and serum creatinine in each patient were significant independent factors for stomatitis development. In conclusion, STAT3 polymorphism may be a novel risk factor for sunitinib-induced stomatitis in patients with mRCC.
信号转导与转录激活因子(STAT)3是通过调节炎性细胞因子的产生来维持口腔黏膜稳态的关键因素。舒尼替尼是P-糖蛋白(多药耐药(MDR)-1/ABCB1)和乳腺癌耐药蛋白(BCRP/ABCG2)的底物。在这项回顾性研究中,我们评估了转移性肾细胞癌(mRCC)患者中舒尼替尼诱导的口腔炎与STAT3、ABCB1和ABCG2基因多态性之间的关联。对52例接受舒尼替尼治疗的日本RCC患者进行回顾性基因分型,以阐明STAT3、ABCB1和ABCG2基因多态性与口腔炎发生之间的潜在关联。52例患者中有22例发生口腔炎。STAT3 rs744166位点的TT + TC基因型发生口腔炎的优势比相对于CC基因型为5.00(95%置信区间,0.97 - 25.8)。在口腔炎累积发生率的Kaplan-Meier方法中,观察到STAT3 rs744166位点的TT + TC和CC基因型之间存在统计学显著差异(p = 0.037)。多元逻辑回归分析和Cox比例风险回归分析均显示,每位患者的STAT3 rs744166 TT + TC基因型和血清肌酐是口腔炎发生的显著独立因素。总之,STAT3基因多态性可能是mRCC患者中舒尼替尼诱导口腔炎的一个新的危险因素。