PO.TB04.01 · 肿瘤生物学

C3PO:用于脑肿瘤临床前药物测试的复杂三维患者类器官

C3PO: complex 3D patient organoids for preclinical drug testing in brain tumors

海报缩略图:C3PO:用于脑肿瘤临床前药物测试的复杂三维患者类器官
编号 681 展板 29 时间 4/19 02:00–05:00 区域 Section 27 主讲 Alessandro Carugo, MS;PhD
分会场 Ex Vivo Systems: Patient-Derived, Patient-Specific Tumor Cultures
查看 PDF 下载 PDF 🔒 查看 / 下载完整 PDF 需登录并开通下载套餐 · 查看套餐 / 开通 AACR 官方页面

作者与单位 Authors & Affiliations

Antonino Cucinotta, Maria Rosaria Battista, Francesco Scalabrì, Anastasiya Kraynyeva, Chiara Soldati, Cristina Alli, Carlo Toniatti, Alessandro Carugo, Francesca Puca

IRBM Spa, Pomezia, Italy

摘要 Abstract

中文摘要
背景:胶质母细胞瘤(GBM)仍然是最具侵袭性且治疗最具挑战性的脑肿瘤之一,现有治疗方法所能带来的生存获益十分有限。开发有效疗法的主要障碍之一是缺乏在生理上具有相关性、能够准确重现人类肿瘤微环境结构、分子和细胞复杂性的临床前模型。传统的二维培养和动物模型往往无法预测临床疗效,且伴随高变异性和有限的转化价值。 方法:为克服这些局限性,我们开发了先进的离体三维胶质母细胞瘤模型,称为复杂三维患者类器官(Complex 3D Patient Organoids,C3POs),旨在重现GBM的结构、多细胞组成和微环境梯度。每个C3PO将患者来源的胶质瘤干样细胞(PD-GSCs)与星形胶质细胞和小胶质细胞按确定比例整合,生成自组装的球状体,模拟体内观察到的肿瘤-基质相互作用。为确保生物学相关性,所有患者来源的GSC还针对通常与GBM相关的关键基因组改变进行了分析。我们建立了代表不同分子GBM亚型的不同模型,并使用高内涵成像和对各细胞群体的荧光示踪进行表征。这些模型已被用于评估专有化合物和临床使用的药物(如替莫唑胺),在能够更真实重现GBM病理生理特征的条件下进行。 结果:初步结果显示了亚型特异性的治疗反应,间叶型背景的C3POs表现出更高的耐药性,而神经前体型背景的C3POs表现出更高的敏感性,这与亚型特异性的临床结局一致。此外,三维共培养系统相比单一培养表现出更低的药物敏感性,突显了其更高的生物学保真度。目前的研究重点是将C3PO模型的体外疗效和药代动力学(PK)数据与此前在原位GBM小鼠模型中获得的结果进行关联,以定量评估其预测潜力。 结论:C3PO平台为抗GBM药物的离体药理学测试提供了一个稳健且可扩展的工具。通过提高转化预测能力并减少对动物模型的依赖,这些复杂三维系统代表了朝向更符合伦理、更具成本效益且更具临床相关性的临床前策略的一项有前景的进展,可用于开发靶向脑肿瘤的新疗法。
查看英文原文 English abstract
Background . Glioblastoma (GBM) remains one of the most aggressive and therapeutically challenging brain tumors, with current treatments offering limited survival benefits. One of the major obstacles in developing effective therapies is the lack of physiologically relevant preclinical models that can accurately recapitulate the structural, molecular, and cellular complexity of the human tumor microenvironment. Conventional 2D cultures and animal models often fail to predict clinical efficacy and are associated with high variability and limited translational value. Methods . To overcome these limitations, we have developed advanced ex vivo 3D glioblastoma models, termed Complex 3D Patient Organoids (C3POs), designed to reproduce the architecture, multicellular composition, and microenvironmental gradients of GBM. Each C3PO integrates patient-derived glioma stem-like cells (PD-GSCs) with astrocytes and microglia in defined ratios, generating self-assembled spheroids that mimic the tumor-stroma interactions observed in vivo . To ensure biological relevance, all patient-derived GSCs were also profiled for key genomic alterations commonly associated with GBM. Distinct models representing different molecular GBM subtypes were established and characterized using high-content imaging and fluorescent tracking of individual cell populations. These models have been used to evaluate both proprietary compounds and clinically used agents such as temozolomide, under conditions that more faithfully reproduce the pathophysiological features of GBM. Results . Preliminary findings revealed subtype-specific responses to treatment, with C3POs of mesenchymal background displaying higher drug resistance and C3POs of proneural background showing higher sensitivity, consistent with a subtype-specific clinical outcome. Furthermore, 3D co-culture systems exhibited reduced drug sensitivity compared to monocultures, underscoring their higher biological fidelity. Current studies are focused on correlating in vitro efficacy and pharmacokinetic (PK) data from C3PO models with results previously obtained in orthotopic GBM mouse models, to quantitatively assess their predictive potential. Conclusions . The C3PO platform provides a robust and scalable tool for ex vivo pharmacological testing of anti-GBM agents. By improving translational predictivity and reducing reliance on animal models, these complex 3D systems represent a promising advancement toward more ethical, cost-effective, and clinically relevant preclinical strategies for the development of new therapies targeting brain tumors.
利益披露 Disclosure
A. Cucinotta, None.. M. Battista, None.. F. Scalabrì, None.. A. Kraynyeva, None.. C. Soldati, None.. C. Alli, None.. C. Toniatti, None.. A. Carugo, None.. F. Puca, None.

← 返回 AACR 2026 检索