胶质瘤
间质细胞
髓样
免疫疗法
癌症研究
免疫系统
生物
肿瘤异质性
癌症免疫疗法
免疫学
癌症
计算生物学
细胞
遗传学
作者
Nourhan Abdelfattah,Parveen Kumar,Caiyi Wang,Jia-Shiun Leu,William F. Flynn,Ruli Gao,David S. Baskin,Kumar Pichumani,Omkar B. Ijare,Stephanie L. Wood,Suzanne Z. Powell,David L. Haviland,Brittany Parker Kerrigan,Frederick F. Lang,Sujit S. Prabhu,Kristin Huntoon,Wen Jiang,Betty Y.S. Kim,Joshy George,Kyuson Yun
标识
DOI:10.1038/s41467-022-28372-y
摘要
Abstract A major rate-limiting step in developing more effective immunotherapies for GBM is our inadequate understanding of the cellular complexity and the molecular heterogeneity of immune infiltrates in gliomas. Here, we report an integrated analysis of 201,986 human glioma, immune, and other stromal cells at the single cell level. In doing so, we discover extensive spatial and molecular heterogeneity in immune infiltrates. We identify molecular signatures for nine distinct myeloid cell subtypes, of which five are independent prognostic indicators of glioma patient survival. Furthermore, we identify S100A4 as a regulator of immune suppressive T and myeloid cells in GBM and demonstrate that deleting S100a4 in non-cancer cells is sufficient to reprogram the immune landscape and significantly improve survival. This study provides insights into spatial, molecular, and functional heterogeneity of glioma and glioma-associated immune cells and demonstrates the utility of this dataset for discovering therapeutic targets for this poorly immunogenic cancer.
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