PO.CL05.04 · 临床研究

整合功能性生物特征与同细胞空间多组学以预测头颈癌联合检查点治疗的协同获益

Integrating functional biosignatures and same-cell spatial multiomics to predict synergistic benefit of combination checkpoint therapy in head and neck cancer

海报缩略图:整合功能性生物特征与同细胞空间多组学以预测头颈癌联合检查点治疗的协同获益
编号 6549 展板 15 时间 4/21 02:00–05:00 区域 Section 44 主讲 Yi Cui
分会场 Immune Checkpoint Blockade
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作者与单位 Authors & Affiliations

Yi Cui1, Moumita Nath2, Michael Emilio Patrick1, Claire Williams1, Daniel McGuire1, Jobin K. Paul2, Kowshik Jaganathan2, Biswajit Das2, Mohit Malhotra2, Shanshan He1, Joseph M. Beechem1, Satish Sankaran2

1Bruker Spatial Biology, Seattle, WA,2Farcast Biosciences India, Bengaluru, India

摘要 Abstract

中文摘要
有效的免疫检查点阻断(ICB)需要肿瘤微环境(TME)内免疫群体之间的协调激活、空间组织和功能性交互。Farcast TruTumor™平台以接近天然的结构保存了活的肿瘤、基质和免疫区室,符合FDA的新方法学(NAM)框架下人相关癌症模型的要求。该模型已表明,在头颈鳞状细胞癌(HNSCC)中,抗PD-1反应与细胞毒性T细胞(CTL)浸润至肿瘤巢相关,且中等应答者可通过加入抗CTLA-4而得到挽救,同时伴随CTL与调节性T(Treg)细胞之间空间分隔的增加。在此,我们将TruTumor的功能表征与CosMx®空间分子成像仪(SMI)整合,采用同细胞空间多组学(64重IO蛋白面板加全转录组RNA),以阐明nivolumab(N)联合ipilimumab(I)疗效改善的动态过程,从而更准确地得出ICB反应的预测因子。将患者来源的HNSCC外植体在TruTumor组织培养平台上培养,并用N或N+I处理72小时。采用组织病理学、切割型caspase-3免疫组化、多参数流式细胞术和NanoString nCounter bulk转录组学评估治疗效应。使用CosMx SMI同细胞多组学检测进行空间分析,能够在完整组织结构中对免疫检查点、激活和耗竭标志物、共刺激分子及全转录组特征进行亚细胞定量。分析包括空间聚类、细胞-细胞邻域建模、免疫-肿瘤界面制图以及配体-受体相互作用推断。CosMx多组学揭示了bulk检测未能捕捉的治疗依赖性免疫状态和空间生态位重塑。N+I应答者表现出:(i)细胞毒性和增殖性CTL的扩增潜能;(ii)抑制性Treg从肿瘤巢中被耗竭或空间排斥;(iii)肿瘤和髓系细胞中抗原提呈和IFN-gamma反应程序的增强;以及(iv)肿瘤-免疫边界处免疫检查点和共刺激配体-受体网络的重新布线。蛋白和RNA标志物的同细胞整合定义了离散的CTL激活和耗竭轨迹,并揭示了对联合治疗独特敏感的微环境。将功能性反应指标与空间特征相结合,产生了一种可预测治疗结局的机制驱动型生物特征。将TruTumor组织培养模型与CosMx SMI同细胞空间多组学整合,建立了一个可扩展、符合NAM理念的转化平台,能够发现用于下一代免疫肿瘤学疗法的预测性生物标志物。
查看英文原文 English abstract
Effective immune checkpoint blockade (ICB) requires coordinated activation, spatial organization, and functional cross-talk among immune populations within the tumor microenvironment (TME). Farcast TruTumor™ platform preserves viable tumor, stromal, and immune compartments in their near-native architecture, aligning with the FDA's New Approach Methodologies (NAM) framework for human-relevant cancer models. The model has shown that in head and neck squamous cell carcinoma (HNSCC) anti-PD-1 response is associated with cytotoxic T-cell (CTL) infiltration into tumor nests, and that moderate responders may be rescued by adding anti-CTLA-4, accompanied by increased spatial separation between CTLs and T regulatory (Treg) cells. Here, we integrate TruTumor's functional characterization with the CosMx® Spatial Molecular Imager (SMI) using same-cell spatial multiomics (64-plex IO protein panel plus whole-transcriptome RNA) to elucidate the dynamics of improved efficacy with nivolumab (N) plus ipilimumab (I) leading to predictors of ICB responses with greater accuracy. Patient-derived HNSCC explants were cultured on the TruTumor histoculture platform and treated for 72 hours with N or N+I. Treatment effects were assessed using histopathology, cleaved caspase-3 IHC, multiparameter flow cytometry, and NanoString nCounter bulk transcriptomics. Spatial profiling was performed using the CosMx SMI same-cell multiomic assay, enabling subcellular quantification of immune checkpoints, activation and exhaustion markers, costimulatory molecules, and whole-transcriptome signatures within intact tissue architecture. Analyses included spatial clustering, cell-cell neighborhood modeling, immune-tumor interface mapping, and ligand-receptor interaction inference. CosMx multiomics revealed treatment-dependent remodeling of immune states and spatial niches not captured by bulk assays. N+I responders exhibited: (i) expansion potential of cytotoxic and proliferative CTLs; (ii) depletion or spatial exclusion of suppressive Tregs from tumor nests; (iii) enhanced antigen-presentation and IFN-gamma-response programs in tumor and myeloid cells; and (iv) rewired immune checkpoint and costimulatory ligand-receptor networks at tumor-immune borders. Same-cell integration of protein and RNA markers defined discrete CTL activation and exhaustion trajectories and uncovered microenvironments uniquely sensitized to combination therapy. Combining functional response metrics with spatial features yielded a mechanism-driven biosignature predictive of treatment outcome. Integrating the TruTumor histoculture models with CosMx SMI same-cell spatial multiomics establishes a scalable, NAM-aligned translational platform that enables discovery of predictive biomarkers for next-generation immuno-oncology therapies.
利益披露 Disclosure
Y. Cui, None.. M. Nath, None.. M. E. Patrick, None.. C. Williams, None.. D. McGuire, None.. J. K. Paul, None.. K. Jaganathan, None.. B. Das, None.. M. Malhotra, None.. S. He, None.. J. M. Beechem, None.. S. Sankaran, None.

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