Single-cell analysis of human glioma and immune cells identifies S100A4 as an immunotherapy target.
Single-cell analysis of human glioma and immune cells identifies S100A4 as an immunotherapy target.
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DOI:
10.1038/s41467-022-28372-y
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发表时间:
2022-02-09
影响因子:
16.6
通讯作者:
Yun K
中科院分区:
文献类型:
--
作者:
Abdelfattah N;Kumar P;Wang C;Leu JS;Flynn WF;Gao R;Baskin DS;Pichumani K;Ijare OB;Wood SL;Powell SZ;Haviland DL;Parker Kerrigan BC;Lang FF;Prabhu SS;Huntoon KM;Jiang W;Kim BYS;George J;Yun K
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. Glioblastoma (GBM) is an immune cold tumour that is refractory to immunotherapy. Here, the authors identify molecular phenotypes of immune-suppressive and -promoting myeloid cells in GBM through single cell RNA sequencing and propose S100A4 as a regulator of immune suppressive T and myeloid cells in GBM.
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影响因子:
11.2
作者:
Harris MA;Yang H;Low BE;Mukherjee J;Guha A;Bronson RT;Shultz LD;Israel MA;Yun K
通讯作者:
Yun K
影响因子:
50.3
作者:
Hara T;Chanoch-Myers R;Mathewson ND;Myskiw C;Atta L;Bussema L;Eichhorn SW;Greenwald AC;Kinker GS;Rodman C;Gonzalez Castro LN;Wakimoto H;Rozenblatt-Rosen O;Zhuang X;Fan J;Hunter T;Verma IM;Wucherpfennig KW;Regev A;Suvà ML;Tirosh I
通讯作者:
Tirosh I
影响因子:
7.3
作者:
Golubinskaya, Veronika;Puttonen, Henri;Savman, Karin
通讯作者:
Savman, Karin
影响因子:
48
作者:
Korsunsky, Ilya;Millard, Nghia;Raychaudhuri, Soumya
通讯作者:
Raychaudhuri, Soumya
影响因子:
46.9
作者:
Gao R;Bai S;Henderson YC;Lin Y;Schalck A;Yan Y;Kumar T;Hu M;Sei E;Davis A;Wang F;Shaitelman SF;Wang JR;Chen K;Moulder S;Lai SY;Navin NE
通讯作者:
Navin NE