PO.CL01.12 · 临床研究
保守性及癌症特异性免疫-基质生态位的空间原型
Spatial archetypes of conserved and cancer-specific immune-stromal niches
作者与单位 Authors & Affiliations
摘要 Abstract
中文摘要
背景:空间有序的免疫-基质相互作用对肿瘤进展具有关键塑造作用,然而对人类肿瘤中保守性及癌症特异性微环境结构的系统表征仍然有限。高分辨率空间转录组学的最新进展为界定这些空间生态位、原位表征细胞邻域并阐明其作为潜在诊断或预后生物标志物的临床相关性提供了绝佳机会。
方法:我们使用Xenium 5K平台对8种癌症类型的40份癌组织及配对未受累正常组织进行单细胞空间分析,生成了逾千万个细胞的空间图谱。通过整合转录相似性、空间邻近性及细胞组成,我们采用无监督框架界定空间生态位。随后剖析肿瘤微环境(TME)的结构和功能特征。转录特征与TME之间的关联进一步利用公共空间组学数据集进行验证。
结果:我们识别出31个空间生态位(SNs),包括肿瘤相关生态位和组织特异性生态位。部分SNs在多种癌症类型中保守,而另一些则在器官特异性组织和癌症中富集,提示存在普遍性和情境依赖性的TME程序。空间异质性在肿瘤-基质界面最为显著,该处生态位多样性明显增加。若干生态位富集了不同的CAF亚群或髓系群体(如巨噬细胞和中性粒细胞),提示肿瘤间存在多样的基质重塑动态。CD8⁺ T细胞富集生态位表现出独特的空间定位和转录特征,CD8⁺ T细胞状态从活化到终末耗竭不等,说明细胞毒性应答如何受局部情境塑造。这些免疫生态位不仅在CD8⁺ T细胞状态上有差异,其周围细胞生态系统也不同,例如与调节性T细胞或趋化性髓系细胞的共富集。值得注意的是,在两个免疫治疗队列中,较高基线丰度的SN11(一个以强CD8-肿瘤相互作用为特征的生态位)与对免疫检查点阻断更佳的应答相关。
结论:本研究提出了一个大规模空间框架,用于表征肿瘤间的免疫和基质区室。我们界定了保守性及癌症特异性的微环境结构,包括具有潜在临床相关性的空间独特免疫生态位。这些生态位独特的空间和细胞组成突显了它们作为免疫状态、肿瘤进展及治疗应答空间解析生物标志物的潜力,对肿瘤学中的早期检测和患者分层具有意义。
查看英文原文 English abstract
Background : Spatially organized immune-stromal interactions critically shape tumor progression, yet a systematic characterization of conserved and cancer-specific microenvironmental architectures across human tumors remains limited. Recent advances in high-resolution spatial transcriptomics provide an exceptional opportunity to define these spatial niches, characterize cellular neighborhoods in situ, and delineate their clinical relevance as potential diagnostic or prognostic biomarkers.
Methods : We performed single-cell spatial profiling using the Xenium 5K platform on 40 cancer tissues across eight cancer types and paired uninvolved normal tissues, generating a spatial atlas of over ten million cells. By integrating transcriptional similarity, spatial proximity, and cellular composition, we defined spatial niches using an unsupervised framework. We then dissected the structural and functional characteristics of tumor microenvironments (TME). Association between transcriptional signatures and TME were further validated using public spatial-omics datasets.
Results : We identified 31 spatial niches (SNs), including both tumor-associated and tissue-specific niches. Some SNs were conserved across multiple cancer types, whereas others were enriched in organ-specific tissues and cancers, suggesting both universal and context-dependent TME programs. Spatial heterogeneity was most pronounced at tumor-stroma interfaces, where niche diversity markedly increased. Several niches were enriched for distinct CAF subsets or myeloid populations such as macrophages and neutrophils, indicating diverse stromal remodeling dynamics across tumors. CD8⁺ T cell-enriched niches exhibited distinct spatial localization and transcriptional features, with CD8⁺ T cell states ranging from activated to terminally exhausted, illustrating how cytotoxic responses are shaped by local context. These immune niches differed not only in CD8⁺ T cell states but also in their surrounding cellular ecosystems, such as co-enrichment with regulatory T cells or chemotactic myeloid cells. Notably, in two immunotherapy cohorts, higher baseline abundance of SN11-a niche characterized by strong CD8-tumor interactions-was associated with better response to immune checkpoint blockade.
Conclusions : This study presents a large-scale spatial framework to characterize immune and stromal compartments across tumors. We define conserved and cancer-specific microenvironmental architectures, including spatially distinct immune niches with potential clinical relevance. The distinct spatial and cellular compositions of these niches highlight their potential as spatially resolved biomarkers of immune state, tumor progression, and therapeutic response, with implications for early detection and patient stratification in oncology.
利益披露 Disclosure
T. Chu, None..
J. Min, None..
Y. Liu, None..
Y. Liu, None..
A. Maitra, None.