Guan Shaoxing, Chen Xi, Chen Youhao, Wan Guohui, Su Qibiao, Liang Heng, Yang Yunpeng, Fang Wenfeng, Huang Yan, Zhao Hongyun, Zhuang Wei, Liu Shu, Wang Fei, Feng Wei, Zhang Xiaoxu, Huang Min, Wang Xueding, Zhang Li
Laboratory of Drug Metabolism and Pharmacokinetics, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510060, China.
State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou 510060, China.
Acta Pharm Sin B. 2022 Sep;12(9):3639-3649. doi: 10.1016/j.apsb.2022.02.006. Epub 2022 Feb 15.
Hepatotoxicity is a common side effect for patients treated with gefitinib, but the related pathogenesis is unclear and lacks effective predictor and management strategies. A multi-omics approach integrating pharmacometabolomics, pharmacokinetics and pharmacogenomics was employed in non-small cell lung cancer patients to identify the effective predictor for gefitinib-induced hepatotoxicity and explore optional therapy substitution. Here, we found that patients with rs4946935 AA, located in Forkhead Box O3 () which is a well-known autophagic regulator, had a higher risk of hepatotoxicity than those with the GA or GG variant (OR = 18.020, 95%CI = 2.473 to 459.1784, = 0.018) in a gefitinib-concentration dependent pattern. Furthermore, functional experiments identified that rs4946935_A impaired the expression of by inhibiting the promotor activity, increasing the threshold of autophagy initiation and inhibiting the autophagic activity which contributed to gefitinib-induced liver injury. In contrast, erlotinib-induced liver injury was independent on the variant and expression levels of . This study reveals that mutation, leading to autophagic imbalance, plays important role in gefitinib-induced hepatotoxicity, especially for patients with high concentration of gefitinib. In conclusion, mutation is an effective predictor and erlotinib might be an appropriately and well-tolerated treatment option for patients carrying rs4946935 AA.
肝毒性是接受吉非替尼治疗患者的常见副作用,但相关发病机制尚不清楚,且缺乏有效的预测指标和管理策略。本研究采用药物代谢组学、药代动力学和药物基因组学相结合的多组学方法,在非小细胞肺癌患者中识别吉非替尼诱导肝毒性的有效预测指标,并探索可选的治疗替代方案。在此,我们发现位于叉头框蛋白O3(FOXO3)(一种著名的自噬调节因子)上的rs4946935 AA基因型患者,比携带GA或GG变异的患者发生肝毒性的风险更高(OR = 18.020,95%CI = 2.473至459.1784,P = 0.018),且呈吉非替尼浓度依赖性。此外,功能实验表明,rs4946935_A通过抑制启动子活性、提高自噬起始阈值和抑制自噬活性,损害了FOXO3的表达,进而导致吉非替尼诱导的肝损伤。相比之下,厄洛替尼诱导的肝损伤与FOXO3的变异和表达水平无关。本研究表明,FOXO3突变导致自噬失衡,在吉非替尼诱导的肝毒性中起重要作用,尤其是对于吉非替尼浓度较高的患者。总之,FOXO3突变是一个有效的预测指标,对于携带rs4946935 AA的患者,厄洛替尼可能是一种合适且耐受性良好的治疗选择。