CAR-T(CAR-T)细胞疗法在非肿瘤性疾病中的应用
Chimeric antigen receptor T (CAR-T) cell therapy in non-oncological diseases.
CAR-T(CAR-T)细胞在血液系统恶性肿瘤中的应用推动了这种免疫治疗形式的显著进展。
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Tumor-intrinsic CD21 expression impacts the response of B-cell malignancy cells to CD19-CAR-T cells.
Tumor-intrinsic CD21 expression impacts the response of B-cell malignancy cells to CD19-CAR-T cells.
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基于CD19的嵌合抗原受体(CAR)T细胞疗法在复发/难治性B细胞恶性肿瘤患者中已产生有希望的临床反应。然而,相当一部分成熟B细胞来源的恶性肿瘤患者,包括慢性淋巴细胞白血病(CLL)和非霍奇金淋巴瘤(NHL),对CD19-CAR-T 细胞疗法无反应。癌细胞本身固有的任何特征和生物标志物是否能预测CD19-CAR-T 细胞治疗反应,目前仍很大程度上未知。令人惊讶的是,通过使用实验模型,我们在此表明,携带CD21(一种成熟B细胞标志物)的恶性B细胞不能被CD19-CAR-T 细胞有效杀伤。CD19、CD21和CD81与CD225一起形成B细胞共受体复合物,增强B细胞介导的信号传导。
我们的结果表明,CD21影响了CD19-CAR-T 细胞对CD19阳性肿瘤细胞的识别,并损害了这些效应细胞的抗肿瘤能力。
我们不仅揭示了CD19-CAR-T 细胞在成熟B细胞来源的CLL和NHL中功能受损的机制,还提出了一种可能预测CD19-CAR-T 细胞治疗反应的预处理生物标志物,从而防止可预见的治疗失败并建议最佳个体化治疗。
CD19-chimeric antigen receptor (CAR)-based T-cell therapy has produced promising clinical responses in patients with relapsed or refractory B-cell malignancies.
However, a significant portion of patients with mature B cell-derived malignancies, including chronic lymphocytic leukemia (CLL) and non-Hodgkin's lymphoma (NHL), do not respond to CD19-CAR-T cell therapy. Whether any characteristics and biomarkers intrinsic to cancer cells themselves can predict the CD19-CAR-T cell therapeutic response remains largely unknown.
Surprisingly, by using experimental models, we show here that malignant B cells bearing CD21, a mature B cell marker, could not be efficiently killed by CD19-CAR-T cells. CD19, CD21, and CD81, together with CD225, form the B cell coreceptor complex that enhances B cell-mediated signaling.
Our results indicated that CD21 affected the recognition of CD19-positive tumor cells by CD19-CAR-T cells and impaired the antitumor capacities of these effector cells.
We have not only uncovered a mechanism underlying the impairment of CD19-CAR-T cells in mature B cell-derived CLL and NHL, but also proposed a pretreatment biomarker that may predict CD19-CAR-T cell therapeutic response, thus preventing foreseeable therapy failure and suggesting optimal personized therapies.
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