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空间肿瘤学:将上下文生物学转化为临床实践。

Spatial oncology: Translating contextual biology to the clinic.

机构信息

Center for Systems Biology, Department of Radiation Oncology, Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Massachusetts Institute of Technology, Cambridge, MA, USA.

Center for Systems Biology, Department of Radiation Oncology, Center for Cancer Research, Massachusetts General Hospital, Boston, MA, USA; Broad Institute of MIT and Harvard, Cambridge, MA, USA; Harvard University, Graduate School of Arts and Sciences, Cambridge, MA, USA; Harvard Medical School, Boston, MA, USA.

出版信息

Cancer Cell. 2024 Oct 14;42(10):1653-1675. doi: 10.1016/j.ccell.2024.09.001. Epub 2024 Oct 3.


DOI:10.1016/j.ccell.2024.09.001
PMID:39366372
Abstract

Microscopic examination of cells in their tissue context has been the driving force behind diagnostic histopathology over the past two centuries. Recently, the rise of advanced molecular biomarkers identified through single cell profiling has increased our understanding of cellular heterogeneity in cancer but have yet to significantly impact clinical care. Spatial technologies integrating molecular profiling with microenvironmental features are poised to bridge this translational gap by providing critical in situ context for understanding cellular interactions and organization. Here, we review how spatial tools have been used to study tumor ecosystems and their clinical applications. We detail findings in cell-cell interactions, microenvironment composition, and tissue remodeling for immune evasion and therapeutic resistance. Additionally, we highlight the emerging role of multi-omic spatial profiling for characterizing clinically relevant features including perineural invasion, tertiary lymphoid structures, and the tumor-stroma interface. Finally, we explore strategies for clinical integration and their augmentation of therapeutic and diagnostic approaches.

摘要

在过去的两个世纪中,对组织细胞的微观检查一直是诊断病理学生物学的主要驱动力。最近,通过单细胞分析鉴定的先进分子生物标志物的出现增加了我们对癌症中细胞异质性的认识,但尚未对临床护理产生重大影响。整合分子分析与微环境特征的空间技术有望通过提供细胞相互作用和组织构成的关键原位背景来弥合这一转化差距。在这里,我们回顾了空间工具如何用于研究肿瘤生态系统及其临床应用。我们详细介绍了细胞间相互作用、微环境组成以及免疫逃避和治疗抵抗的组织重塑方面的发现。此外,我们还强调了多组学空间分析在描述包括神经周围浸润、三级淋巴结构和肿瘤-基质界面在内的临床相关特征方面的新兴作用。最后,我们探讨了临床整合的策略及其对治疗和诊断方法的增强作用。

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本文引用的文献

[1]
Spatially resolved analysis of pancreatic cancer identifies therapy-associated remodeling of the tumor microenvironment.

Nat Genet. 2024-11

[2]
Multiscale topology classifies cells in subcellular spatial transcriptomics.

Nature. 2024-6

[3]
The future of rapid and automated single-cell data analysis using reference mapping.

Cell. 2024-5-9

[4]
A blueprint for tumor-infiltrating B cells across human cancers.

Science. 2024-5-3

[5]
3D genomic mapping reveals multifocality of human pancreatic precancers.

Nature. 2024-5

[6]
Integrative spatial analysis reveals a multi-layered organization of glioblastoma.

Cell. 2024-5-9

[7]
Spatial transcriptomics reveals segregation of tumor cell states in glioblastoma and marked immunosuppression within the perinecrotic niche.

Acta Neuropathol Commun. 2024-4-22

[8]
Spatiotemporal architecture of immune cells and cancer-associated fibroblasts in high-grade serous ovarian carcinoma.

Sci Adv. 2024-4-19

[9]
Circumventing drug resistance in gastric cancer: A spatial multi-omics exploration of chemo and immuno-therapeutic response dynamics.

Drug Resist Updat. 2024-5

[10]
Spatial transcriptomics reveals discrete tumour microenvironments and autocrine loops within ovarian cancer subclones.

Nat Commun. 2024-4-3

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