SCI
8 September 2024
An atlas of genetic effects on cellular composition of the tumor microenvironment
(Nature Immunology, IF: 27.7)
Yimin Cai, Zequn Lu, Can Chen, Ying Zhu1,12, Zhirui Chen2, Zuyou Wu, Jingyi Peng, Xuanyu Zhu, Ziying Liu, Bin Li, Ming Zhang, Jinyu Huang, Yanmin Li, Yizhuo Liu, Qianying Ma, Chunyi He, Shuoni Chen, Wen Tian, Linyun Fan, Caibo Ning, Hui Geng, Bin Xu, Haijie Li, Xu Zhu, Jun Fang, Xiaoyang Wang, Shaokai Zhang, Meng Jin, Chaoqun Huang, Xiaojun Yang, Jianbo Tian & Xiaoping Miao
CORRESPONDENCE TO: tianjb@whu.edu.cn; xpmiao@whu.edu.cn
Deciphering the composition of the tumor microenvironment (TME) is critical for understanding tumorigenesis and to design immunotherapies. In the present study, we mapped genetic effects on cell-type proportions using single-cell and bulk RNA sequencing data, identifying 3,494 immunity quantitative trait loci (immunQTLs) across 23 cancer types from The Cancer Genome Atlas. Functional annotation revealed regulatory potential and we further assigned 1,668 genes that regulate TME composition. We constructed a combined immunQTL map by integrating data from European and Chinese colorectal cancer (CRC) samples. A polygenic risk score that incorporates these immunQTLs and hits on a genome-wide association study outperformed in CRC risk stratification within 447,495 multiethnic individuals. Using large-scale population cohorts, we identified that the immunQTL rs1360948 is associated with CRC risk and prognosis. Mechanistically, the rs1360948-G-allele increases CCL2 expression, recruiting regulatory T cells that can exert immunosuppressive effects on CRC progression. Blocking the CCL2–CCR2 axis enhanced anti-programmed cell death protein 1 ligand therapy. Finally, we have established a database (CancerlmmunityQTL2) to serve the research community and advance our understanding of immunogenomic interactions in cancer pathogenesis.
破译肿瘤微环境(TME)的组成对于理解肿瘤发生和设计免疫疗法至关重要。在本研究中,我们使用单细胞和大量RNA测序数据绘制了细胞类型比例的遗传影响,从癌症基因组图谱中鉴定了23种癌症类型的3494个免疫定量性状基因座(immunQTL)。功能注释揭示了调节潜力,我们进一步分配了1668个调节TME组成的基因。我们通过整合欧洲和中国结直肠癌(CRC)样本的数据构建了一个联合免疫QTL图谱。在447495名多民族个体中,结合这些免疫QTL和全基因组关联研究的多基因风险评分方法比CRC风险分层分级方法表现更为优异。使用大规模人群队列,我们发现immunQTL rs1360948与CRC风险和预后相关。从机制上讲,rs1360948-G等位基因增加了CCL2的表达,招募了可以对CRC进展产生免疫抑制作用的调节性T细胞。阻断CCL2-CCR2轴可增强抗程序性细胞死亡蛋白1配体治疗。最后,我们建立了一个数据库(CancercommunityQTL2),为研究界提供服务,并促进我们对癌症发病机制中免疫基因组相互作用的理解。