← 返回

B 细胞恶性肿瘤患者 CD19 CAR-T 细胞输注后,CAR(+) 与 CAR(-) T 细胞共享向 NK 样亚群的分化轨迹

英文原题:CAR(+) and CAR(-) T cells share a differentiation trajectory into an NK-like subset after CD19 CAR T cell infusion in patients with B cell malignancies.

查看英文原题

CAR(+) and CAR(-) T cells share a differentiation trajectory into an NK-like subset after CD19 CAR T cell infusion in patients with B cell malignancies.

PubMed 2023/11/27(内容时间) Nat Commun Q1 · IF 18.1(JCR 2025)

分数与星级只用于站内排序 —— 不代表疗效、安全性或个人适用性。

中文摘要

靶向CD19的嵌合抗原受体(CAR)T细胞疗法治疗B细胞恶性肿瘤有效,但产品组成、患者淋巴细胞清除预处理及免疫重建等因素如何影响功能性CAR阳性T细胞的持久性,尚未充分明确。为深入了解这一问题,我们对CARTELL研究(ACTRN12617001579381)患者中供者来源、靶向CD19的4-1BB CAR产品进行单细胞多组学分析,比较CAR阳性和CAR阴性T细胞从输注前至输注后1个月的转录、克隆及表型特征。输注后CAR阳性和CAR阴性T细胞呈现相似的分化谱,克隆扩增细胞群分布于多种异质表型,显示出克隆谱系关系和表型可塑性。我们在31例接受CD19 CAR-T 治疗的大B细胞淋巴瘤患者中验证了这些发现。对纵向质谱流式数据分析后发现,CAR阳性和CAR阴性T细胞中的NK样亚群均与6个月临床结局相关。这些结果提示,非CAR来源的信号可提供患者免疫恢复信息,并可作为具有临床相关性的指标。

展开英文摘要原文

Chimeric antigen receptor (CAR) T cell therapy is effective in treating B cell malignancies, but factors influencing the persistence of functional CAR + T cells, such as product composition, patients' lymphodepletion, and immune reconstitution, are not well understood.

To shed light on this issue, here we conduct a single-cell multi-omics analysis of transcriptional, clonal, and phenotypic profiles from pre- to 1-month post-infusion of CAR + and CAR - T cells from patients from a CARTELL study (ACTRN12617001579381) who received a donor-derived 4-1BB CAR product targeting CD19. Following infusion, CAR + T cells and CAR - T cells shows similar differentiation profiles with clonally expanded populations across heterogeneous phenotypes, demonstrating clonal lineages and phenotypic plasticity.

We validate these findings in 31 patients with large B cell lymphoma treated with CD19 CAR T therapy. For these patients, we identify using longitudinal mass-cytometry data an association between NK-like subsets and clinical outcomes at 6 months with both CAR + and CAR - T cells. These results suggest that non-CAR-derived signals can provide information about patients' immune recovery and be used as correlate of clinically relevant parameters.

论文信息

作者
Louie RHY、Cai C、Samir J、Singh M、Deveson IW、Ferguson JM、Amos TG、McGuire HM
第一作者单位
School of Computer Science and Engineering, UNSW Sydney, Sydney, NSW, Australia.Australia
通讯作者单位
Kirby Institute for Infection and Immunity, UNSW Sydney, Sydney, NSW, Australia. luciani@unsw.edu.au.Australia
文献类型
美国 NIH 资助研究
期刊
Nature communications2023 Nov 27
原文标识
PubMed 38012187 · DOI 10.1038/s41467-023-43656-7