Gatzweiler Charlotte, Ridinger Johannes, Herter Sonja, Gerloff Xenia F, ElHarouni Dina, Berker Yannick, Imle Roland, Schmitt Lukas, Kreth Sina, Stainczyk Sabine, Ayhan Simay, Najafi Sara, Krunic Damir, Frese Karen, Meder Benjamin, Reuss David, Fiesel Petra, Schramm Kathrin, Blattner-Johnson Mirjam, Jones David T W, Banito Ana, Westermann Frank, Oppermann Sina, Milde Till, Peterziel Heike, Witt Olaf, Oehme Ina
Hopp Children's Cancer Center Heidelberg (KiTZ), 69120 Heidelberg, Germany.
Clinical Cooperation Unit Pediatric Oncology, German Cancer Research Center (DKFZ) and German Cancer Consortium (DKTK), 69120 Heidelberg, Germany.
Cancers (Basel). 2022 Feb 8;14(3):849. doi: 10.3390/cancers14030849.
The survival rate among children with relapsed tumors remains poor, due to tumor heterogeneity, lack of directly actionable tumor drivers and multidrug resistance. Novel personalized medicine approaches tailored to each tumor are urgently needed to improve cancer treatment. Current pediatric precision oncology platforms, such as the INFORM (INdividualized Therapy FOr Relapsed Malignancies in Childhood) study, reveal that molecular profiling of tumor tissue identifies targets associated with clinical benefit in a subgroup of patients only and should be complemented with functional drug testing. In such an approach, patient-derived tumor cells are exposed to a library of approved oncological drugs in a physiological setting, e.g., in the form of animal avatars injected with patient tumor cells. We used molecularly fully characterized tumor samples from the INFORM study to compare drug screen results of individual patient-derived cell models in functional assays: (i) patient-derived spheroid cultures within a few days after tumor dissociation; (ii) tumor cells reisolated from the corresponding mouse PDX; (iii) corresponding long-term organoid-like cultures and (iv) drug evaluation with the corresponding zebrafish PDX (zPDX) model. Each model had its advantage and complemented the others for drug hit and drug combination selection. Our results provide evidence that in vivo zPDX drug screening is a promising add-on to current functional drug screening in precision medicine platforms.
复发肿瘤患儿的生存率仍然很低,这是由于肿瘤异质性、缺乏直接可作用的肿瘤驱动因素以及多药耐药性。迫切需要针对每种肿瘤的新型个性化医疗方法来改善癌症治疗。当前的儿科精准肿瘤学平台,如INFORM(儿童复发性恶性肿瘤个体化治疗)研究表明,肿瘤组织的分子谱分析仅在部分患者亚组中识别出与临床获益相关的靶点,因此应辅以功能药物测试。在这种方法中,将患者来源的肿瘤细胞在生理环境中,例如以注射患者肿瘤细胞的动物模型的形式,暴露于一系列已获批的肿瘤药物中。我们使用来自INFORM研究的分子特征完全明确的肿瘤样本,在功能测定中比较单个患者来源的细胞模型的药物筛选结果:(i)肿瘤解离后几天内的患者来源的球体培养物;(ii)从相应小鼠PDX重新分离的肿瘤细胞;(iii)相应的长期类器官培养物;以及(iv)使用相应的斑马鱼PDX(zPDX)模型进行药物评估。每个模型都有其优势,并且在药物靶点和药物组合选择方面相互补充。我们的结果证明,体内zPDX药物筛选是精准医学平台当前功能药物筛选的一种有前景的补充方法。