PO.IM01.11 · 免疫学
用于表征和预测患者特异性免疫治疗药物反应的离体微肿瘤检测平台
Ex vivo micro-tumor testing platform to characterize and predict patient-specific immunotherapy drug responses
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
背景。免疫疗法已显示出显著的临床获益,但预先识别出癌症对治疗敏感的患者仍是一大挑战。我们此前已证明,能够保留肿瘤微环境(TME)的离体微肿瘤平台可预测对铂类治疗的临床反应(Koedoot等,npj precision oncology,2025)。在此,我们展示该平台还能实现针对免疫检查点抑制剂(ICI)和双特异性T细胞衔接器(BiTE)的患者特异性药物敏感性和免疫活性分析。
方法。从原发或复发性结直肠癌(CRC,N=6)、非小细胞肺癌(NSCLC,N=23)和卵巢癌(OC,N=85)患者处采集新鲜肿瘤组织。从手术切除标本、腹水或胸水中分离出包含TME的微肿瘤,包埋于水凝胶中,并暴露于化疗药物、六种ICI和/或CD3xMUC16 BiTE ubamatamab。通过从高通量三维成像中提取形态学特征来量化药物反应。治疗敏感性由具有统计学意义的免疫细胞扩增和微肿瘤杀伤来定义。敏感性谱与免疫细胞群体相关联。使用多重免疫生物标志物分析检测治疗后收集的上清液中分泌的细胞因子、趋化因子和细胞毒性介质。采用原始患者肿瘤组织报告的PD-L1肿瘤比例评分(TPS)(NSCLC)。
结果。在50%的OC、27%的早期NSCLC和33%的转移性NSCLC样本中观察到显著的离体ICI反应,且连续样本间结果可重复。大多数OC样本的T细胞、巨噬细胞和NK细胞标志物呈阳性,但B细胞标志物呈阴性。在高CD3(p=0.01)或高CD68(p=0.003)表达的OC样本中观察到更强的免疫反应。重要的是,免疫敏感性与PD-L1 TPS相关(p=0.13,NSCLC)。Ubamatamab在42%(8/19)的OC样本中诱导了显著的免疫扩增,其中一半还显示出显著的肿瘤杀伤。与无反应者相比,具有有效肿瘤杀伤的ubamatamab反应者表现出T细胞效应细胞因子(IFN-gamma、IL-2)、细胞毒性介质(Granzyme B、Perforin)和促炎细胞因子(CXCL9、CXCL11)强劲而同步的上调。
结论。本研究通过表征免疫群体并报告其与已知临床标志物(PD-L1)的相关性,实现了对自体患者特异性ICI和BiTE敏感性的分类、表征和预测。我们的离体微肿瘤平台能够对患者特异性免疫治疗反应进行功能性分析,支持生物标志物发现和新兴免疫疗法的患者筛选。下一步是将离体敏感性与实际临床结局相关联。
查看英文原文 English abstract
Background. Immunotherapies have shown significant clinical benefit, but upfront identification of patients with therapy-sensitive cancers remains a major challenge. We have previously demonstrated that our ex vivo micro-tumor platform, which preserves the tumor microenvironment (TME), is predictive for clinical responses to platinum-based therapy (Koedoot et al., npj precision oncology, 2025). Here, we show that the platform also enables patient-specific profiling of drug sensitivity and immune activity for immune checkpoint inhibitors (ICIs) and bispecific T cell engagers (BiTEs).
Methods. Fresh tumor tissues were collected from colorectal cancer (CRC, N=6), non-small cell lung cancer (NSCLC, N=23) and ovarian cancer (OC, N=85) patients with primary or recurrent disease. Micro-tumors including the TME were isolated from resections, ascites or pleural fluid, embedded in hydrogel and exposed to chemotherapeutics, six ICIs and/or CD3xMUC16 BiTE ubamatamab. Drug responses were quantified by extracting morphological features from high-throughput 3D imaging. Treatment sensitivity was defined by statistically significant immune cell expansion and micro-tumor killing. Sensitivity profiles were correlated with immune cell populations. Supernatants collected after treatment were analyzed for secreted cytokines, chemokines and cytotoxic mediators using multiplex immune biomarker profiling. PD-L1 tumor proportion scoring (TPS) reported on original patient tumor tissue was used (NSCLC).
Results. Significant ex vivo ICI responses were observed in 50% of OC, 27% of early NSCLC, and 33% of metastatic NSCLC samples, with reproducible results across serial samples. Most OC samples were positive for T-cell, macrophage and NK-cell markers but not for B-cell markers. Stronger immune responses were observed in OC samples with high CD3 (p=0.01) or CD68 (p=0.003) expression. Importantly, immune sensitivity correlated with PD-L1 TPS (p=0.13, NSCLC). Ubamatamab induced significant immune expansion in 42% (8/19) of OC samples, half of which also showed significant tumor killing. When compared to non-responders, ubamatamab responders with effective tumor killing exhibited robust and simultaneous upregulation of T cell effector cytokines (IFN-gamma, IL-2), cytotoxic mediators (Granzyme B, Perforin) and pro-inflammatory cytokines (CXCL9, CXCL11).
Conclusions. This study reports classification, characterization and prediction of autologous patient-specific sensitivity to ICIs and BiTEs by characterizing immune populations and reporting correlation with known clinical markers (PD-L1). Our ex vivo micro-tumor platform enables functional profiling of patient-specific immunotherapy responses, supporting biomarker discovery and selection of patients for emerging immunotherapies. The next step is to correlate the ex vivo sensitivity to actual clinical outcome.
利益披露 Disclosure
F. M. Behr,
VitroScan Employment.
E. Koedoot,
VitroScan Employment.
T. J. P. Sijsenaar,
VitroScan Employment.
L. Le Large,
VitroScan Employment.
C. D. de Kroon, None..
A. van Altena, None.
F. Khoraminia,
VitroScan Employment.
L. C. Steinbusch, None..
C. M. Steendam, None.
D. J. van der Meer,
VitroScan Employment.
W. Vader,
VitroScan Employment.
N. Ottevanger, None.