Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA.
Department of Pathology, University of California, San Francisco, San Francisco, CA 94143, USA; ImmunoX Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF Immunoprofiler Initiative, University of California, San Francisco, San Francisco, CA 94143, USA; UCSF CoLabs, University of California, San Francisco, San Francisco, CA 94143, USA.
Cell. 2022 Jan 6;185(1):184-203.e19. doi: 10.1016/j.cell.2021.12.004. Epub 2021 Dec 27.
Cancers display significant heterogeneity with respect to tissue of origin, driver mutations, and other features of the surrounding tissue. It is likely that individual tumors engage common patterns of the immune system-here "archetypes"-creating prototypical non-destructive tumor immune microenvironments (TMEs) and modulating tumor-targeting. To discover the dominant immune system archetypes, the University of California, San Francisco (UCSF) Immunoprofiler Initiative (IPI) processed 364 individual tumors across 12 cancer types using standardized protocols. Computational clustering of flow cytometry and transcriptomic data obtained from cell sub-compartments uncovered dominant patterns of immune composition across cancers. These archetypes were profound insofar as they also differentiated tumors based upon unique immune and tumor gene-expression patterns. They also partitioned well-established classifications of tumor biology. The IPI resource provides a template for understanding cancer immunity as a collection of dominant patterns of immune organization and provides a rational path forward to learn how to modulate these to improve therapy.
癌症在起源组织、驱动突变和周围组织的其他特征方面表现出显著的异质性。单个肿瘤可能采用常见的免疫系统模式——在这里称为“原型”——形成典型的非破坏性肿瘤免疫微环境(TME)并调节肿瘤靶向。为了发现主要的免疫系统原型,加州大学旧金山分校(UCSF)免疫分析计划(IPI)使用标准化方案对 12 种癌症类型中的 364 个肿瘤进行了处理。对从细胞亚区获得的流式细胞术和转录组数据进行的计算聚类揭示了癌症中免疫成分的主要模式。这些原型非常重要,因为它们还根据独特的免疫和肿瘤基因表达模式区分了肿瘤。它们也很好地划分了肿瘤生物学的既定分类。IPI 资源为理解癌症免疫作为主导免疫组织模式的集合提供了模板,并为学习如何调节这些模式以改善治疗提供了合理的途径。