An atlas of genetic effects on cellular composition of the tumor microenvironment.
Yimin CaiZequn LuCan ChenYing ZhuZhirui ChenZuyou WuJingyi PengXuanyu ZhuZiying LiuBin LiMing ZhangJinyu HuangYanmin LiYizhuo LiuQianying MaChunyi HeShuoni ChenWen TianLinyun FanCaibo NingHui GengBin XuHaijie LiXu ZhuJun FangXiaoyang WangShaokai ZhangMeng JinChaoqun HuangXiaojun YangJian-Bo TianXiaoping MiaoPublished in: Nature immunology (2024)
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.
Keyphrases
- single cell
- regulatory t cells
- genome wide
- papillary thyroid
- rna seq
- genome wide association study
- squamous cell
- dendritic cells
- healthcare
- electronic health record
- stem cells
- mental health
- liver injury
- big data
- emergency department
- squamous cell carcinoma
- mass spectrometry
- binding protein
- risk assessment
- artificial intelligence
- young adults
- childhood cancer
- bone marrow
- drug induced
- climate change
- genome wide identification