PO.TB04.01 · 肿瘤生物学

一种用于个性化评估药物直接反应和免疫介导反应的患者来源离体平台

A patient-derived ex vivo platform for personalized evaluation of both direct and immune-mediated drug responses

海报缩略图:一种用于个性化评估药物直接反应和免疫介导反应的患者来源离体平台
编号 656 展板 4 时间 4/19 02:00–05:00 区域 Section 27 主讲 Jie Wen, PhD
分会场 Ex Vivo Systems: Patient-Derived, Patient-Specific Tumor Cultures
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作者与单位 Authors & Affiliations

Jie Wen, Hao Cheng, Nan Yang

PharmaLegacy Laboratories, Shanghai, China

摘要 Abstract

中文摘要
患者来源异种移植(PDX)模型是临床前肿瘤学研究的一个里程碑,作为一种在小鼠体内评估药物疗效并为潜在个性化治疗策略提供依据的宝贵体内系统。然而,PDX模型的广泛应用受到移植成功耗时长且不稳定、成功率相对较低以及运营成本高昂等因素的限制。此外,人体肿瘤微环境(TME)逐渐被小鼠基质成分所取代,削弱了PDX模型的保真度,尤其是在评估免疫调节剂时,后者需要完整的人体免疫环境。虽然患者来源类器官(PDO)提供了一种更快速、更高效的替代建模方式,但其应用受到以下因素的限制:缺乏具代表性的TME、检测标准化困难,以及对特定癌细胞克隆的固有选择偏倚。这些局限使人们对其能否可靠预测复杂治疗方案疗效产生担忧,从而推动了更为整体的离体方法的开发。 在本研究中,我们建立了一个离体组织培养平台,利用新鲜切除的患者肿瘤,在一组患者肿瘤中评估受试品的抗肿瘤疗效。手术获得的肿瘤样本立即通过组织切片处理成均匀的切片,并在暴露于各种刺激物和/或受试品的transwell系统中培养。孵育后,对培养的肿瘤组织进行多项下游分析,包括肿瘤杀伤评估、免疫细胞分析、生物标志物分析、免疫组化(IHC)和免疫荧光(IF)。分析培养基以检测分泌的细胞因子和趋化因子。一个示例应用:在该平台上评估采集自肺癌患者的肿瘤组织,以比较抗PD1反应。采集自抗PD1有反应患者的肿瘤显示出明显的肿瘤抑制,其特征为流式细胞术检测到CD8⁺CD103⁺ T细胞增加25%、CD163⁺巨噬细胞减少22%,caspase-3染色增强,IF检测到Ki-67和TGF-beta信号降低,以及Luminex检测到与免疫抑制和TAM募集相关的细胞因子表达水平升高,这些共同将该谱型与无反应者区分开来。 这一离体组织培养系统在保持天然结构和细胞异质性的同时,极大地拓展了临床标本的应用价值。它能够快速、直接地评估治疗反应,并与体内结果显示出强相关性,弥合了传统体外检测与后续体内研究之间的关键鸿沟。该方法可能加速抗癌药物发现与开发的流程。
查看英文原文 English abstract
Patient-derived xenograft (PDX) models represent a milestone of preclinical oncology research, serving as a valuable in vivo system for evaluating drug efficacy in mice and informing potential personalized therapeutic strategies. However, widespread application of PDX models has been limited by prolonged and variable engraftment timelines, relatively low success rates, and substantial operational costs. Moreover, the gradual replacement of human tumor microenvironment (TME) with murine stromal components compromises the fidelity of PDX models, particularly for evaluating immunomodulatory agents, which requires an intact human immune context. While patient-derived organoids (PDOs) offer a faster and more efficient modeling alternative, their utility is limited by absence of a representative TME, difficulties in assay standardization, and inherent selection bias towards specific cancer cell clones. These limitations raise concerns regarding their ability to provide reliable prediction on efficacy to complex treatment regimens, thereby motivating the development of more holistic ex vivo approaches. In the current study, we established an ex vivo tissue culture platform utilizing freshly resected patient tumors to evaluate anti-tumor efficacy of test articles across a panel of patient tumors. Tumor samples obtained from surgery were processed immediately into uniform sections by tissue slicing and cultured in a trans-well system exposed to various stimulants and/or test articles. Post incubation, the cultured tumor tissues were subjected to multiple downstream analyses, including tumor killing assessment, immune cell profiling, biomarker analysis, immunohistochemistry (IHC) and immunofluorescence (IF). The culture medium was analyzed to profile secreted cytokines and chemokines. An illustrative application: tumor tissues collected from lung cancer patients were evaluated on this platform to compare anti-PD1 responses. Tumor collected from anti-PD1 responsive patient revealed pronounced tumor suppression characterized by a 25% increase in CD8⁺CD103⁺ T cells and a 22% reduction in CD163⁺ macrophages by flow cytometry, enhanced caspase-3 staining, decreased Ki-67 and TGF-beta signals via IF, and elevated expression levels of cytokines associated with immune suppression and TAM recruitment as measured by Luminex, collectively distinguishing this profile from that of non-responders. This ex vivo tissue culture system dramatically expands the utility of clinical specimens while maintaining native architecture and cellular heterogeneity. It enables rapid and direct assessment of therapeutic responses and shows strong correlation with in vivo outcomes, bridging a critical gap between traditional in vitro assays and subsequent in vivo studies. This approach may accelerate the pipeline for anti-cancer drug discovery and development.
利益披露 Disclosure
J. Wen, None.. H. Cheng, None.. N. Yang, None.

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