CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Spatial ecotype in tumor immune exclusion: from spatial architecture to therapeutic strategies.
Spatial ecotype in tumor immune exclusion: from spatial architecture to therapeutic strategies.
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肿瘤微环境(TME)表现出广泛的免疫表型异质性。基于空间免疫背景,肿瘤免疫谱可分为免疫炎症型、免疫排斥型和免疫荒漠型。免疫排斥型肿瘤是一种独特的肿瘤免疫表型,其特征是免疫细胞(尤其是CD8+ T细胞)存在于肿瘤附近,但免疫细胞与肿瘤细胞之间缺乏直接的物理接触。越来越多的证据表明,肿瘤免疫排斥是一种空间组织化且被主动维持的微环境状态,与不良预后、T细胞浸润受损以及免疫治疗耐药相关。
然而,该表型背后的生物学机制和空间图谱仍不清楚。空间组学技术和分析工具的进步使得解析免疫排斥型肿瘤的复杂空间结构成为可能。在本综述中,我们描述了关于免疫排斥型肿瘤核心细胞亚群和空间相互作用网络的最新见解,并结合空间免疫背景,为靶向空间生态型以增强T细胞浸润并使免疫排斥型肿瘤对免疫治疗敏感提供新的理论基础和干预策略。
总体而言,这些发现支持从以细胞为中心的模式向以生态型为中心的框架转变,在该框架中,空间协调的细胞联盟调控免疫可及性和治疗反应。
此外,我们讨论了该领域当前的挑战,包括空间多组学数据整合的标准化、动态时空演变的实时监测以及临床转化路径的优化。未来的研究应纳入长期采样、类器官模型和篮式试验设计,以实现基于空间生态型的精准免疫干预策略。
The tumor microenvironment (TME) exhibits widespread immunophenotypic heterogeneity. Based on the spatial immune contexture, tumor immune profiles can be classified as immune-inflamed, excluded, or desert. Immune-excluded tumors, a distinct tumor immune phenotype, are characterized by the presence of immune cells (especially CD8 + T cells) near tumors but a lack of direct physical contact between immune and tumor cells.
Accumulating evidence indicates that tumor immune exclusion is a spatially organized and actively maintained microenvironmental state associated with poor prognosis, impaired T cell infiltration, and resistance to immunotherapy.
However, the biological mechanisms and spatial profiling underlying this phenotype remain unclear. Advances in spatial omics technologies and analytical tools have enabled the dissection of the complex spatial architecture of immune-excluded tumors.
In this review, we describe recent insights into the core cellular subsets and spatial interaction networks of immune-excluded tumors, incorporating the spatial immune contexture, to provide new theoretical foundations and intervention strategies targeting spatial ecotypes to enhance T cell infiltration and sensitize immune-excluded tumors to immunotherapy.
Collectively, these findings support a shift from cell-centric models towards ecotype-centered frameworks in which spatially coordinated cellular alliances govern immune accessibility and therapeutic response.
Furthermore, we discuss current challenges in this field, including standardization of spatial multi-omics data integration, real-time monitoring of dynamic spatiotemporal evolution, and optimization of clinical translation pathways. Future investigations should incorporate long-term sampling, organoid models, and basket trial designs to enable precise immune-intervention strategies based on spatial ecotypes.
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