Wang Yanni, Liao Haiyan, Zheng Tongsen, Wang Jingyuan, Guo Dagang, Lu Zhihao, Li Zhongwu, Chen Yiyou, Shen Lin, Zhang Yanqiao, Gao Jing
Department of Gastrointestinal Oncology, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Peking University Cancer Hospital and Institute Beijing, China.
National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College Shenzhen 518116, China.
Am J Cancer Res. 2020 Jan 1;10(1):249-262. eCollection 2020.
Preclinical models, including patient-derived xenograft (PDX) and organoid and primary cell culture, are essential for studies of cancer cell biology and facilitate translational research and individualization of therapy. We explored the optimum preclinical model by modifying the conventional conditional reprogramming (CR) system followed by screening effective targeted drug combinations against colorectal cancer (CRC). By modifying the ingredients of the culture medium used in a conventional CR system, a novel individualized CR system (termed i-CR) was established. Tumor samples from CRC patients were collected and PDX models were derived followed by high-throughput i-CR drug screening and validation of the effective targeted drug combinations. The i-CR system selectively expanded tumor cells rather than normal epithelial cells and facilitated high-throughput drug screening when combined with high-content imaging and quantitative analysis of cell proliferation. Using inhibitors targeting multiple signaling pathways identified by high-throughput i-CR drug screening, we discovered that inhibition of the EGFR and MEK or CDK4/6 pathways exerted a synergistic inhibitory effect against CRC, and we noted super-synergistic effects when EGFR, MEK, and CDK4/6 inhibitors were used simultaneously. These data were validated using paired PDX models, which showed marked inhibition of tumor growth. The novel i-CR system combined with PDX models will enable individualization of therapy and drug discovery, and strategies combining EGFR, MEK, and CDK4/6 inhibitors warrant clinical validation.
临床前模型,包括患者来源的异种移植(PDX)、类器官和原代细胞培养,对于癌细胞生物学研究至关重要,并有助于转化研究和治疗个体化。我们通过改进传统的条件重编程(CR)系统,随后筛选针对结直肠癌(CRC)的有效靶向药物组合,探索了最佳的临床前模型。通过修改传统CR系统中使用的培养基成分,建立了一种新型的个体化CR系统(称为i-CR)。收集CRC患者的肿瘤样本并建立PDX模型,随后进行高通量i-CR药物筛选和有效靶向药物组合的验证。i-CR系统选择性地扩增肿瘤细胞而非正常上皮细胞,并且在与细胞增殖的高内涵成像和定量分析相结合时,有助于高通量药物筛选。使用通过高通量i-CR药物筛选确定的靶向多种信号通路的抑制剂,我们发现抑制表皮生长因子受体(EGFR)和丝裂原活化蛋白激酶(MEK)或细胞周期蛋白依赖性激酶4/6(CDK4/6)通路对CRC具有协同抑制作用,并且当同时使用EGFR、MEK和CDK4/6抑制剂时,我们注意到存在超协同效应。使用配对的PDX模型验证了这些数据,该模型显示出对肿瘤生长的显著抑制。新型i-CR系统与PDX模型相结合将实现治疗个体化和药物发现,并且联合使用EGFR、MEK和CDK4/6抑制剂的策略值得进行临床验证。