Journal article

Single-Cell Transcriptomic Analysis Reveals BCMA CAR-T Cell Dynamics in a Patient with Refractory Primary Plasma Cell Leukemia

Xue Li, Xin Guo, Yuqing Zhu, Guoqing Wei, Yanlei Zhang, Xia Li, Huijun Xu, Jiazhen Cui, Wenjun Wu, Jingsong He, Matthew E Ritchie, Taylor M Weiskittel, Hu Li, Hua Yu, Lijuan Ding, Mi Shao, Qian Luo, Xiaoxiao Xu, Xinyi Teng, Alex H Chang Show all

MOLECULAR THERAPY | CELL PRESS | Published : 2021

Abstract

Chimeric antigen receptor T cell (CAR-T) therapy has revolutionized the clinical treatment of hematological malignancies due to the prominent anti-tumor effects. B cell maturation antigen (BCMA) CAR-T cells have demonstrated promising effects in patients with relapsed/refractory multiple myeloma. However, the dynamics of CAR-T cell proliferation and cytotoxicity in clinical patients remains unexplored. Here, we longitudinally profiled the transcriptomes of 55,488 T cells including CAR-T products, CAR-T cells, and endogenous T cells at the peak and remission phases in a plasma cell leukemia (PCL) patient treated with BCMA CAR-T cells by single-cell transcriptomic analysis. Our results showed ..

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University of Melbourne Researchers

Grants

Awarded by Natural Science Foundation of China


Awarded by Key Project of Science and Technology Department of Zhejiang Province


Awarded by National Key Research and Development Program of China


Awarded by National Natural Science Foundation Projects of China


Awarded by Zhejiang Natural Science Foundation Projects of China


Awarded by Zhejiang Innovation Team grant


Funding Acknowledgements

The authors would like to thank Pengxu Qian and Luyi Tian for helpful discussions on data analysis. This work was supported by the Natural Science Foundation of China (grant nos. 81730008, 81770201, 81970137, 81870153) and the Key Project of Science and Technology Department of Zhejiang Province (grant no. 2019C03016,2018C03016-2). J.Z. is supported by the National Key Research and Development Program of China (2018YFA0107100, 2018YFA0107103, and 2018YFC1005002); the National Natural Science Foundation Projects of China (31871453 and 91857116); the Zhejiang Natural Science Foundation Projects of China (LR19C120001); and the Zhejiang Innovation Team grant (2019R01004).