Sun Lei, Wan Arabella H, Yan Shijia, Liu Ruonian, Li Jiarui, Zhou Zhuolong, Wu Ruirui, Chen Dongshi, Bu Xianzhang, Ou Jingxing, Li Kai, Lu Xiongbin, Wan Guohui, Ke Zunfu
Department of Pathology, the First Affiliated Hospital, Sun Yat-sen University, Guangzhou 510080, China.
National-Local Joint Engineering Laboratory of Druggability and New Drug Evaluation, National Engineering Research Center for New Drug and Druggability (Cultivation), Guangdong Province Key Laboratory of New Drug Design and Evaluation, School of Pharmaceutical Sciences, Sun Yat-sen University, Guangzhou 510006, China.
Acta Pharm Sin B. 2024 Jan;14(1):223-240. doi: 10.1016/j.apsb.2023.09.015. Epub 2023 Sep 25.
Lenvatinib, a second-generation multi-receptor tyrosine kinase inhibitor approved by the FDA for first-line treatment of advanced liver cancer, facing limitations due to drug resistance. Here, we applied a multidimensional, high-throughput screening platform comprising patient-derived resistant liver tumor cells (PDCs), organoids (PDOs), and xenografts (PDXs) to identify drug susceptibilities for conquering lenvatinib resistance in clinically relevant settings. Expansion and passaging of PDCs and PDOs from resistant patient liver tumors retained functional fidelity to lenvatinib treatment, expediting drug repurposing screens. Pharmacological screening identified romidepsin, YM155, apitolisib, NVP-TAE684 and dasatinib as potential antitumor agents in lenvatinib-resistant PDC and PDO models. Notably, romidepsin treatment enhanced antitumor response in syngeneic mouse models by triggering immunogenic tumor cell death and blocking the EGFR signaling pathway. A combination of romidepsin and immunotherapy achieved robust and synergistic antitumor effects against lenvatinib resistance in humanized immunocompetent PDX models. Collectively, our findings suggest that patient-derived liver cancer models effectively recapitulate lenvatinib resistance observed in clinical settings and expedite drug discovery for advanced liver cancer, providing a feasible multidimensional platform for personalized medicine.
乐伐替尼是一种经美国食品药品监督管理局(FDA)批准用于一线治疗晚期肝癌的第二代多受体酪氨酸激酶抑制剂,但因耐药性面临局限。在此,我们应用了一个多维、高通量筛选平台,该平台包含患者来源的耐药性肝肿瘤细胞(PDC)、类器官(PDO)和异种移植瘤(PDX),以在临床相关环境中确定克服乐伐替尼耐药性的药物敏感性。来自耐药患者肝肿瘤的PDC和PDO的扩增与传代保留了对乐伐替尼治疗的功能保真度,加快了药物重新利用筛选。药理学筛选确定罗米地辛、YM155、阿哌利西布、NVP-TAE684和达沙替尼为乐伐替尼耐药的PDC和PDO模型中的潜在抗肿瘤药物。值得注意的是,罗米地辛治疗通过触发免疫原性肿瘤细胞死亡和阻断表皮生长因子受体(EGFR)信号通路,增强了同基因小鼠模型中的抗肿瘤反应。罗米地辛与免疫疗法的联合在人源化免疫活性PDX模型中对乐伐替尼耐药性产生了强大的协同抗肿瘤作用。总体而言,我们的研究结果表明,患者来源的肝癌模型有效地重现了临床环境中观察到的乐伐替尼耐药性,并加快了晚期肝癌的药物发现,为个性化医疗提供了一个可行的多维平台。