免疫系统
生物
卵巢癌
免疫检查点
自然杀伤细胞
癌症研究
转录组
免疫疗法
免疫学
癌症
细胞毒性T细胞
遗传学
基因
基因表达
体外
作者
Christine Y. Yeh,Karmen Aguirre,Olivia Laveroni,Subin Kim,Aihui Wang,Brooke Liang,Xiaoming Zhang,Lucy M. Han,Raeline Valbuena,Michael C. Bassik,Young‐Min Kim,Sylvia K. Plevritis,M Snyder,Brooke E. Howitt,Livnat Jerby‐Arnon
标识
DOI:10.1038/s41590-024-01943-5
摘要
The drivers of immune evasion are not entirely clear, limiting the success of cancer immunotherapies. Here we applied single-cell spatial and perturbational transcriptomics to delineate immune evasion in high-grade serous tubo-ovarian cancer. To this end, we first mapped the spatial organization of high-grade serous tubo-ovarian cancer by profiling more than 2.5 million cells in situ in 130 tumors from 94 patients. This revealed a malignant cell state that reflects tumor genetics and is predictive of T cell and natural killer cell infiltration levels and response to immune checkpoint blockade. We then performed Perturb-seq screens and identified genetic perturbations—including knockout of PTPN1 and ACTR8—that trigger this malignant cell state. Finally, we show that these perturbations, as well as a PTPN1/PTPN2 inhibitor, sensitize ovarian cancer cells to T cell and natural killer cell cytotoxicity, as predicted. This study thus identifies ways to study and target immune evasion by linking genetic variation, cell-state regulators and spatial biology. Here the authors provide a resource for ovarian cancer combining spatial transcriptomics, genomics, CRISPR Perturb-seq screens and in silico methods to focus on T cells and natural killer cells in the tumor and their role in immune evasion.
科研通智能强力驱动
Strongly Powered by AbleSci AI