PO.TB10.17 · 肿瘤生物学

在患者来源的肿瘤外植体(PDEs)中探索GSK5764227抗体-药物偶联物的靶向及非靶向(旁观者)效应

Exploring both targeted and untargeted (bystander) effects of GSK5764227 antibody‑drug conjugate in patient‑derived tumor explants (PDEs)

编号 3524 展板 17 时间 4/20 02:00–05:00 区域 Section 32 主讲 Debayan Mukherjee, PhD
分会场 Therapeutic Modulation of the Tumor Microenvironment: New Targets and Approaches 1
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作者与单位 Authors & Affiliations

Debayan Mukherjee1, Jenny Wade1, Morgan Heycock1, Mint Htun1, Benjamin Miller2, Zeinab Mokhtari3, Diana Munera1, Anna Pasto1, Paul Barber1, Tony NG1, Sue Griffin1

1Oncology Translational Research, GSK, Stevenage, United Kingdom,2Development Biostatistics, GSK, Stevenage, United Kingdom,3Oncology Translational Research, GSK, Heidelberg, Germany

摘要 Abstract

中文摘要
背景:B7-H3是B7家族免疫检查点分子的一员,由于其在多种癌症中过表达并与不良临床结局相关,正成为一个有前景的治疗靶点。GSK5764227是一种针对B7-H3的全人源化IgG-1单克隆抗体,偶联拓扑异构酶1(TOP1)抑制剂。GSK5764227预计通过递送强效载荷选择性靶向肿瘤细胞,然而直接杀伤与对旁观者肿瘤细胞效应各自的作用尚不清楚。 方法:本研究中,我们通过空间成像终点,评估手术切除的NSCLC肿瘤样本(IB-IIIB期)中B7-H3及相关基因/蛋白的表达。随后我们建立了NSCLC患者来源肿瘤外植体(PDE)模型,该模型重现了病理性肿瘤微环境(TME),并用抗B7-H3 ADC(GSK5764227)、裸抗B7-H3单抗(GSK5764224)和人IgG1对照单抗对PDE片段进行72小时培养处理。使用多重成像终点,我们评估GSK5764227及载荷(TOP1抑制剂)在关键细胞亚群中的空间分布和结合,并评估TME内的细胞杀伤(切割型半胱天冬酶-3)。 结果:在NSCLC肿瘤组织中,B7-H3蛋白在增殖性肿瘤上皮细胞和癌相关成纤维细胞(CAFs)中大量表达,但在邻近正常组织中低表达。TOP1和TOP1抑制剂敏感性基因在增殖性肿瘤上皮细胞和成纤维细胞中大量表达,提示这些细胞可能对ADC敏感。在PDE模型中,GSK5764227及载荷显示对B7-H3阳性上皮细胞(EpCam+)、成纤维细胞(aSMA+)和巨噬细胞(CD68+)亚群的优先结合。在一部分B7-H3阴性细胞中也检测到载荷,提示要么是ADC结合后B7-H3受体经内化被下调/降解,要么是载荷向B7-H3阴性细胞扩散(旁观者效应)。这与载荷阳性肿瘤上皮细胞、巨噬细胞和成纤维细胞中切割型半胱天冬酶-3+染色的显著增加相关,提示细胞杀伤可能由载荷在靶细胞群中的直接沉积所驱动,且这三种细胞类型均对TOP1抑制剂载荷的杀伤敏感。 结论:我们的结果可能有助于从机制上理解ADC结合与载荷沉积、旁观者效应及肿瘤应答异质性之间的相互作用,这将支持未来GSK5764227临床试验的设计。
查看英文原文 English abstract
Background: B7-H3, a member of the B7 family of immune checkpoint molecules, is emerging as a promising therapeutic target due to its overexpression in several cancers and association with poor clinical outcome. GSK5764227 is a fully humanized IgG-1 monoclonal antibody against B7-H3 conjugated to a topoisomerase 1 (TOP1) inhibitor. GSK5764227 is predicted to selectively target the tumor cells by delivering potent payload, however the role of direct killing vs effects on bystander tumor cells is unknown. Methods : In this study by using spatial imaging endpoints, we evaluate the expression of B7-H3 and associated genes/ proteins in surgically resected NSCLC tumors samples (Stage IB-IIIB). We then establish a NSCLC patient derived tumor explants (PDE) model, which re-capitulates the pathological tumor microenvironment (TME), and treat the PDE fragments with anti-B7-H3 ADC (GSK5764227), naked anti-B7-H3mAb (GSK5764224), and human-IgG1 control mAb in culture for 72hrs. Using multiplex imaging endpoints, we assess the spatial distribution and binding of GSK5764227 and payload (TOP1 inhibitor) in key cellular subsets and evaluate cell killing (Cleaved Caspase-3) within the TME. Results: In NSCLC tumor tissues, the B7-H3 protein is abundantly expressed in proliferative tumor epithelial and cancer associated fibroblast (CAFs) cells, but at low-levels in adjacent normal tissue. TOP1 and TOP1 inhibitor sensitivity genes are abundantly expressed in proliferative tumor epithelial and fibroblasts, suggesting that these cells maybe be sensitive to ADC. In PDE models, GSK5764227 and payload showed preferential binding to B7-H3 positive epithelial (EpCam+), fibroblast (aSMA+) and macrophage (CD68+) subsets. In a subset of B7-H3 negative cells, the payload was also detected, suggestive of either downregulation/degradation via internalization of B7-H3 receptor after binding to the ADC, or payload diffusion in B7-H3 negative cells (bystander-effect). This correlated with significant increase in cleaved caspase-3+ staining in payload+ tumor epithelial, macrophages and fibroblast, suggestive that the cell killing could be driven by direct payload deposition in the target population and that all 3-cell types are sensitive to killing by the TOP1 inhibitor payload. Conclusions: Our results potentially aid in mechanistic understanding of the inter-play between ADC binding and payload deposition, bystander effect and heterogeneity of tumor response, which will support the future design of clinical trials with GSK5764227.
利益披露 Disclosure
D. Mukherjee, GSK Employment. J. Wade, GSK Employment. M. Heycock, GSK Employment. M. Htun, GSK Employment. B. Miller, GSK Employment. Z. Mokhtari, GSK Employment. D. Munera, GSK Employment. A. Pasto, GSK Employment. P. Barber, GSK Employment. T. Ng, GSK Employment. S. Griffin, GSK Employment.

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