Accurately profiling systemic immune responses to cancer initiation and progression is necessary for understanding tumor surveillance and, ultimately, improving therapy. Here, we describe the SYLARAS software tool (systemic lymphoid architecture response assessment) and a dataset collected with SYLARAS that describes the frequencies of immune cells in primary and secondary lymphoid organs and in the tumor microenvironment of mice engrafted with a standard syngeneic glioblastoma (GBM) model. The data resource involves profiles of 5 lymphoid tissues in 48 mice and shows that GBM causes wide-spread changes in the local and systemic immune architecture. We use SYLARAS to identify a subset of CD45R/B220⁺ CD8⁺ T cells that is depleted from circulation but accumulates in the tumor mass and confirm this finding using multiplexed immunofluorescence microscopy. SYLARAS is freely available for download at (https://github.com/gjbaker/sylaras). A record of this paper’s transparent peer review process is included in the Supplemental Information.

准确分析对癌症发生和进展的全身免疫反应对于了解肿瘤监测并最终改善治疗是必要的。在这里，我们描述了 SYLARAS 软件工具（系统淋巴样结构反应评估）和一个用 SYLARAS 收集的数据集，该数据集描述了原发性和继发性淋巴器官中免疫细胞的频率以及植入标准同基因胶质母细胞瘤 (GBM) 的小鼠的肿瘤微环境中的免疫细胞频率模型。数据资源涉及 48 只小鼠的 5 个淋巴组织的概况，并显示 GBM 导致局部和全身免疫结构的广泛变化。我们使用 SYLARAS 来识别 CD45R/B220 ⁺ CD8 ⁺的子集从循环中耗尽但在肿瘤块中积聚的 T 细胞，并使用多重免疫荧光显微镜证实了这一发现。SYLARAS 可在 (https://github.com/gjbaker/sylaras) 免费下载。本文的透明同行评审过程的记录包含在补充信息中。