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.
CELL INTELLIGENCE · 肿瘤细胞治疗研究
肿瘤细胞治疗研究
英文原题:Predictive role of endothelial cell activation in cytokine release syndrome after chimeric antigen receptor T cell therapy for acute lymphoblastic leukaemia.
Predictive role of endothelial cell activation in cytokine release syndrome after chimeric antigen receptor T cell therapy for acute lymphoblastic leukaemia.
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CD19靶向嵌合抗原受体(CAR)-T细胞疗法对复发/难治性(R/R)急性淋巴细胞白血病(ALL)高度有效,但常并发细胞因子释放综合征(CRS),后者可能危及生命。内皮细胞是许多感染性疾病中CRS的核心调节因子,在CAR-T 细胞治疗后也可能发挥关键作用。
我们提供了CRS患者详细的临床、实验室描述及内皮细胞活化生物标志物。内皮细胞活化与CRS的发生、发展及严重程度相关,表现为血清血管生成素(Ang)-1水平降低,以及血管性血友病因子(VWF)、Ang-2、Ang-2:Ang-1、sE-选择素、可溶性细胞间黏附分子(sICAM-1)和可溶性血管细胞黏附分子(sVCAM)-1水平升高。
此外,内皮活化与CRS患者的肝脏、肾脏和造血功能障碍相关。输注CAR-T 细胞后,我们在随后发生CRS、尤其是重度CRS的患者中,于36小时内检测到内皮活化相关生物标志物的变化。使用top tree模型,我们可以预测哪些患者会发生CRS、尤其是重度CRS,或通过某些内皮活化生物标志物识别CRS的严重程度。这些数据提供了新的思路,并将有助于确定CRS早期干预和预防的新靶点。
CD19-target chimeric antigen receptor (CAR)-T cell therapy is highly effective for relapsed/refractory (R/R) acute lymphoblastic leukaemia (ALL), but is often complicated by cytokine release syndrome (CRS), which is potentially life-threatening. Endothelial cells are the core regulator of CRS in many infectious diseases and may also play a key role after CAR-T cell therapy.
We provided a detailed clinical, laboratory description and endothelial cell activation biomarkers in patients with CRS. Endothelial cell activation was associated with occurrence, development and severity of CRS, manifested by decreased serum angiopoietin (Ang)-1 levels and increased levels of von Willebrand Factor (VWF), Ang-2, Ang-2:Ang-1, sE-selectin, soluble intercellular adhesion molecule (sICAM-1) and soluble vascular cell adhesion molecule (sVCAM)-1. Besides, the endothelial activation was correlated with the hepatic, kidney and hematopoietic dysfunction in CRS patients.
After infusion of CAR-T cells, we detected changes of endothelial activation-related biomarkers within 36 hours in patients who subsequently developed CRS, especially severe CRS. Using top tree models, we could predict which patients would develop CRS, especially severe CRS, or identify the severity of CRS by certain biomarkers of endothelial activation. These data provide a new idea and will help identify new targets for early intervention and prevention of CRS.
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