Liu Yedan, Zhang Qiming, Xing Baocai, Luo Nan, Gao Ranran, Yu Kezhuo, Hu Xueda, Bu Zhaode, Peng Jirun, Ren Xianwen, Zhang Zemin
BIOPIC, School of Life Sciences, Beijing Advanced Innovation Center for Genomics, Peking-Tsinghua Center for Life Sciences, Peking University, Beijing 100871, China.
Department of Hepatopancreatobiliary Surgery I, Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Peking University Cancer Hospital & Institute, Beijing 100142, China.
Cancer Cell. 2022 Apr 11;40(4):424-437.e5. doi: 10.1016/j.ccell.2022.02.013. Epub 2022 Mar 17.
The tumor microenvironment (TME) is connected to immunotherapy responses, but it remains unclear how cancer cells and host tissues differentially influence the immune composition within TME. Here, we performed single-cell analyses for autologous samples from liver metastasized colorectal cancer to disentangle factors shaping TME. By aligning CD45 cells across different tissues, we classified exhausted CD8 T cells (Texs) and activated regulatory T cells as M-type, whose phenotypes were associated with the malignancy, while natural killer and mucosal-associated invariant T cells were defined as N-type, whose phenotypes were associated with the niche. T cell receptor sharing between Texs in primary and metastatic tumors implicated the presence of common peripheral non-exhausted precursors. For myeloid cells, a subset of dendritic cells (DC3s) and SPP1 macrophages were M-type, and the latter were predominant in liver metastasis, indicating its pro-metastasis role. Our analyses bridge immune phenotypes of primary and metastatic tumors, thereby helping to understand the tumor-specific contexture and identify the pro-metastasis components.
肿瘤微环境(TME)与免疫治疗反应相关,但癌细胞和宿主组织如何不同地影响TME内的免疫组成仍不清楚。在这里,我们对肝转移结直肠癌的自体样本进行了单细胞分析,以厘清塑造TME的因素。通过比对不同组织中的CD45细胞,我们将耗竭的CD8 T细胞(Texs)和活化的调节性T细胞归类为M型,其表型与恶性肿瘤相关,而自然杀伤细胞和黏膜相关恒定T细胞被定义为N型,其表型与生态位相关。原发性和转移性肿瘤中Texs之间的T细胞受体共享暗示存在共同的外周非耗竭前体。对于髓样细胞,树突状细胞亚群(DC3s)和SPP1巨噬细胞为M型,后者在肝转移中占主导地位,表明其促转移作用。我们的分析连接了原发性和转移性肿瘤的免疫表型,从而有助于理解肿瘤特异性结构并识别促转移成分。