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空间组学技术有可能推动肿瘤免疫治疗的进展。

Spatial omics technology potentially promotes the progress of tumor immunotherapy.

作者信息

Lan Zhen, Yang Yuanyuan, Li Lingling, Wang Chaoguan, Sun Zhenqiang, Wang Qiming, Liu Yang

机构信息

Department of Radiotherapy, Affiliated Cancer Hospital of Zhengzhou University, Henan Cancer Hospital, Zhengzhou, 450008, China.

Department of Colorectal Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450008, China.

出版信息

Br J Cancer. 2025 Jun 2. doi: 10.1038/s41416-025-03075-5.

Abstract

Immunotherapy has become an indispensable modality in the treatment of cancer, yet challenges such as resistance and substantial variability in therapeutic responses among patients remain significant obstacles. Key technologies, including spatial omics, have emerged as critical methods for exploring the complex tumor microenvironment. Increasing evidence suggests that, compared to single-cell sequencing, spatial omics technologies offer the advantage of preserving spatial context and integrating multimodal analyses, thereby advancing our understanding of complex interactions within biological tissues. In this perspective article, we present a comprehensive overview of the origins, classifications, and characteristics of various modalities of spatial omics analyses. Furthermore, we discuss the heterogeneity of the TME in the spatial context, such as the phenotypic differences between B cells and T cells near normal versus tumorous tissues-where they predominantly express immune-suppressive receptors in proximity to the tumor. Additionally, we summarize the applications of spatial omics in different cancer therapies, recent advancements in exploring cellular interactions and tertiary lymphoid structures, and the challenges faced in clinical translation. In light of these findings, we advocate for a broader application of spatial omics, combined with other technologies, as this will unveil overlooked therapeutic targets and could potentially realize precision immunotherapy for cancer.

摘要

免疫疗法已成为癌症治疗中不可或缺的一种方式,但诸如耐药性以及患者间治疗反应存在显著差异等挑战,仍然是重大障碍。包括空间组学在内的关键技术,已成为探索复杂肿瘤微环境的重要方法。越来越多的证据表明,与单细胞测序相比,空间组学技术具有保留空间背景并整合多模态分析的优势,从而增进了我们对生物组织内复杂相互作用的理解。在这篇观点文章中,我们全面概述了空间组学分析各种模式的起源、分类和特征。此外,我们讨论了空间背景下肿瘤微环境的异质性,例如正常组织与肿瘤组织附近B细胞和T细胞的表型差异——在肿瘤附近它们主要表达免疫抑制受体。此外,我们总结了空间组学在不同癌症治疗中的应用、在探索细胞相互作用和三级淋巴结构方面的最新进展,以及临床转化中面临的挑战。鉴于这些发现,我们主张更广泛地应用空间组学,并与其他技术相结合,因为这将揭示被忽视的治疗靶点,并有可能实现癌症的精准免疫治疗。

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