PO.TB10.10 · 肿瘤生物学
空间多组学揭示脑转移瘤中三级淋巴结构的功能多样性
Spatial multi-omics reveals functional diversity of tertiary lymphoid structures in brain metastases
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摘要 Abstract
中文摘要
三级淋巴结构(TLS)日益被认为是抗肿瘤免疫的重要驱动因素,以及多种非中枢神经系统癌症中生存和免疫治疗反应的预测指标。然而,其在脑转移瘤(BrM)中的作用仍未充分了解。为了更好地推进对其在免疫抑制性脑肿瘤微环境中作用的理解,我们采用多模态方法,在2015年至2022年间于法兰克福大学癌症中心收集的来自不同原发组织的461例BrM样本的回顾性队列中,检查了TLS的患病率、空间组织和临床相关性。使用CD20免疫组化筛查淋巴样聚集体,并对TLS阳性和阴性肿瘤的一个子集进行了全面的分子和空间分析。为深入表征TLS,我们采用了多种空间技术,包括用于空间分辨细胞表型分析和TLS识别的7重免疫荧光成像、感兴趣区域的全转录组空间分析、用于全组织制图的亚细胞分辨率空间转录组学(468基因面板),以及使用40个标志物进行的空间蛋白质组学分析以评估免疫和基质相互作用。在50%的BrM中检测到TLS,最常见于肺至脑转移瘤中。值得注意的是,大多数TLS缺乏成熟生发中心的特征,表明BrM微环境内可能存在减弱或失调的免疫反应。生存分析显示TLS阳性肿瘤具有良好的预后,且对免疫检查点抑制剂的反应改善。BrM肿瘤免疫微环境的空间表征揭示了促进不同免疫细胞聚集体形成模式和细胞间相互作用的细胞生态位,这是患者内部和跨原发部位表型异质性的基础。全转录组数据分析进一步揭示了细胞外基质的重塑,以及肿瘤富集区域中代谢重编程的证据,以及在B细胞富集生态位中抗原呈递、免疫反应调节和激活等过程的富集。整合的单细胞空间转录组学和蛋白质组学,使得能够对跨患者的TLS亚型进行表型分析,捕捉不同的成熟阶段和组织化水平。这种空间分辨的多模态方法为理解BrM中的TLS生物学提供了全面的资源,并可能指导基于微环境的策略以改善转移性脑疾病的免疫治疗结局。
查看英文原文 English abstract
Tertiary lymphoid structures (TLS) are increasingly recognized as important drivers of anti-tumor immunity and predictors of survival and immunotherapy response in multiple non-central nervous system cancers. However, their role in brain metastases (BrM) remains poorly understood. To better advance understanding of their role in the immunosuppressive brain tumor microenvironment, we applied a multimodal approach to examine TLS prevalence, spatial organization, and clinical relevance in a retrospective cohort of 461 BrM samples from diverse primary tissues, collected between 2015 - 2022 at the University Cancer Center Frankfurt. CD20 immunohistochemistry was used to screen for lymphoid aggregates, and a subset of TLS-positive and negative tumors were subjected to comprehensive molecular and spatial profiling. For an in-depth characterization of TLS, we employed multiple spatial technologies, including 7-plex immunofluorescence imaging for spatially resolved cellular phenotyping and TLS identification, whole-transcriptome spatial profiling of regions of interest, subcellular-resolution spatial transcriptomics (468-gene panel) for whole-tissue mapping, and spatial proteomic profiling using 40 markers to assess immune and stromal interactions. TLS were detected in 50% of BrM, most frequently in lung-to-brain metastases. Notably, the majority of TLS lacked features characteristic of mature germinal centers, indicating a potentially attenuated or dysregulated immune response within the BrM microenvironment. Survival analyses revealed a favorable prognosis associated with TLS-positive tumors and an improved response to immune checkpoint inhibitors. Spatial characterization of the BrM tumor immune microenvironment revealed cellular niches that promote distinct patterns of immune cell aggregate formation and cell-cell interactions, underlying phenotypic heterogeneity within patients and across primary sites. Analysis of whole transcriptomic data further revealed remodeling of extracellular matrix and evidence of metabolic reprogramming in tumor rich areas and enrichment of processes such as antigen presentation, regulation and activation of immune response in B cell-rich niches. Integrative single-cell spatial transcriptomics and proteomics, enabled phenotyping of TLS subtypes across patients, capturing different stages of maturation and levels of organization. This spatially resolved, multimodal approach provides a comprehensive resource for understanding TLS biology in BrM and may guide microenvironment-informed strategies to improve immunotherapeutic outcomes in metastatic brain disease.
利益披露 Disclosure
S. S. Mughal, None..
J. H. Lun, None..
K. Martinez, None..
J. Macas, None..
J. Schupp, None..
T. Starzetz, None..
S. Voglis, None..
B. Brors, None..
K. H. Plate, None..
Y. Reiss, None.