Peking-Tsinghua Center for Life Sciences, Academy for Advanced Interdisciplinary Studies, Peking University, Beijing 100871, China.
BIOPIC, Beijing Advanced Innovation Center for Genomics, School of Life Sciences, Peking University, Beijing 100871, China.
Science. 2021 Dec 17;374(6574):abe6474. doi: 10.1126/science.abe6474.
T cells play a central role in cancer immunotherapy, but we lack systematic comparison of the heterogeneity and dynamics of tumor-infiltrating T cells across cancer types. We built a single-cell RNA-sequencing pan-cancer atlas of T cells for 316 donors across 21 cancer types and revealed distinct T cell composition patterns. We found multiple state-transition paths in the exhaustion of CD8 T cells and the preference of those paths among different tumor types. Certain T cell populations showed specific correlation with patient properties such as mutation burden, shedding light on the possible determinants of the tumor microenvironment. T cell compositions within tumors alone could classify cancer patients into groups with clinical trait specificity, providing new insights into T cell immunity and precision immunotherapy targeting T cells.
T 细胞在癌症免疫疗法中发挥着核心作用,但我们缺乏对跨癌症类型的肿瘤浸润 T 细胞异质性和动态的系统比较。我们针对 21 种癌症类型的 316 名供体构建了一个 T 细胞单细胞 RNA 测序泛癌症图谱,揭示了不同的 T 细胞组成模式。我们在 CD8 T 细胞耗竭中发现了多个状态转换路径,以及这些路径在不同肿瘤类型中的偏好。某些 T 细胞群体与患者特征(如突变负担)表现出特定的相关性,为肿瘤微环境的可能决定因素提供了线索。仅肿瘤内的 T 细胞组成就可以将癌症患者分为具有临床特征特异性的组,为 T 细胞免疫和针对 T 细胞的精准免疫疗法提供了新的见解。
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