PO.ET02.03 · 实验与分子治疗
功能性类器官筛选揭示TROP2 ADC的靶点依赖性和旁观者杀伤效应
Functional organoid screening uncovers target dependency and bystander killing in TROP2 ADCs
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
引言:TROP2靶向抗体偶联药物(ADC)代表了一类针对多种TROP2高表达肿瘤类型的有前景的治疗药物。膜通透性载荷可诱导旁观者杀伤,因此具有功能性、生理相关性的检测至关重要。我们开发了一种先进的基于类器官的ADC评估工作流程,结合了大规模患者来源(异种移植)类器官(PD(X)O)筛选、CRISPR工程化的同基因模型以及三维高内涵成像(HCI),以评估效力、靶点依赖性和旁观者效应。
方法:在类器官筛选平台中评估了两种TROP2 ADC——一种通过亲水性、可裂解连接子偶联的实验性依喜替康(exatecan)为基础的ADC,以及datopotamab-deruxtecan(Dato-Dxd;DS-1062),模型的选择不考虑TROP2表达水平。依喜替康为基础的ADC在涵盖十种癌症类型的109个PD(X)O(101个肿瘤,8个正常)中使用九点剂量反应进行了检测。Dato-Dxd在涵盖九种肿瘤类型的142个PD(X)O(132个肿瘤;10个正常)中使用六点剂量反应实验进行了筛选。药物孵育持续五天,疗效通过基于ATP的细胞活力检测确定。游离载荷依喜替康和Dxd(裸载荷及连接子偶联形式)作为对照。CRISPR/Cas9生成的TROP2敲除(KO)类器官配对用荧光/发光报告基因标记,用于基于HCI的靶点依赖性和旁观者效应检测。
结果:依喜替康为基础的ADC显示出较高的整体疗效(在1 μM最高剂量下,68.6%的模型显示>50%抑制),胰腺模型甚至显示100%敏感,32.4%的类器官达到IC50 < 0.1 μM。单独载荷在大多数模型中具有强细胞毒性(93.3%的模型敏感,IC50 < 0.03 μM),依喜替康和Dxd的效力相似,而连接子偶联的Dxd细胞毒性显著较低(平均IC50 > 0.1 μM)。Dato-Dxd在PD(X)O组合中的反应各不相同(54%在0.1 μM时显示>50%抑制,37%达到IC50 < 0.1 μM)。对于两种TROP2 ADC,均观察到疗效与TROP2 mRNA丰度之间的相关性。在同基因KO类器官模型中,TROP2的缺失消除了Dato-Dxd的反应,证实了靶点依赖性。混合培养检测量化了Dato-Dxd的旁观者杀伤,验证了膜通透性载荷对邻近细胞的作用。
结论:类器官筛选与HCI相结合的工作流程为ADC评估提供了一个稳健、具有转化相关性的平台,整合了疗效分析、机制验证和功能性旁观者效应建模。CRISPR生成的同基因类器官能够精确剖析靶点依赖性和耐药性,支持TROP2靶向ADC的临床前优化。
查看英文原文 English abstract
Introduction: TROP2-targeted antibody-drug conjugates (ADCs) represent a promising therapeutic class for multiple tumor types with elevated TROP2 expression. Membrane-permeable payloads can induce bystander killing, making functional, physiologically relevant testing crucial. We developed an advanced organoid-based ADC evaluation workflow combining large-scale patient-derived (xenograft) organoid (PD(X)O) screening, CRISPR-engineered isogenic models, and 3D high-content imaging (HCI) to assess potency, target dependency, and bystander effects.
Methods: Two TROP2 ADCs - an experimental exatecan-based ADC linked via a hydrophilic, cleavable linker, and datopotamab-deruxtecan (Dato-Dxd; DS‑1062) - were evaluated in the organoid screening platform, where models were selected irrespective of TROP2 expression. The exatecan-based ADC was tested in 109 PD(X)Os (101 tumor, 8 normal) across ten cancer types using nine-point dose-response. Dato-Dxd was screened using six-point dose-response assays in 142 PD(X)Os (132 tumor; 10 normal) spanning nine tumor types. Drug incubation ran over five days, and efficacy was determined by ATP-based cell viability assay. Free payloads exatecan and Dxd (both naked and linker-conjugated) served as controls. CRISPR/Cas9-generated TROP2 knockout (KO) organoid pairs were labeled with fluorescent/luminescent reporters for target HCI-based dependency and bystander effect assays.
Results: The exatecan-based ADC demonstrated high overall efficacy (68.6% showed >50% inhibition at the highest dose of 1 µM), with pancreatic models even showing 100% sensitivity, and 32.4% of organoids achieving IC 50 < 0.1 µM. Payloads alone were strongly cytotoxic in most models (93.3% of models sensitive with IC 50 < 0.03 µM) with similar potency for exatecan and Dxd, whereas linker-conjugated Dxd was significantly less cytotoxic (average IC 50 > 0.1µM). Dato-Dxd responses varied across the PD(X)O panel (54% showed >50% inhibition at 0.1µM, 37% IC 50 < 0.1µM). For both TROP2 ADCs, a correlation between efficacy and TROP2 mRNA abundance was observed. In isogenic KO organoid models, loss of TROP2 abrogated Dato-Dxd responses, confirming target dependency. Mixed-culture assays quantified Dato-Dxd bystander killing, validating membrane-permeable payload action in neighboring cells.
Conclusion: The combined organoid screening and HCI workflow provides a robust, translationally relevant platform for ADC evaluation, integrating efficacy profiling, mechanistic validation, and functional bystander effect modeling. CRISPR-generated isogenic organoids enable precise dissection of target dependency and resistance, supporting the preclinical optimization of TROP2-targeted ADCs.
利益披露 Disclosure
J. Sun, None..
M. Hornsveld, None..
L. Krenning, None..
D. Verstegen, None..
P. Han, None..
Z. Sun, None..
C. Hulsebosch, None..
D. Blok, None..
P. van Schaik, None..
M. He, None..
H. Ju, None..
Y. Sun, None..
M. Madej, None..
H. Bange, None..
J. Zhou, None..
P. Wang, None..
L. Bourre, None..
M. Putker, None.