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:Impact of tumor microenvironment on efficacy of anti-CD19 CAR T cell therapy or chemotherapy and transplant in large B cell lymphoma.
Impact of tumor microenvironment on efficacy of anti-CD19 CAR T cell therapy or chemotherapy and transplant in large B cell lymphoma.
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在二线大B细胞淋巴瘤中进行的3期ZUMA-7试验显示,抗CD19 CAR-T 细胞疗法(axicabtagene ciloleucel(axi-cel))优于标准治疗(SOC;挽救性化疗后行造血干细胞移植)(NCT03391466)。
在此,我们展示了一项预先指定的探索性分析,考察治疗前肿瘤特征与axi-cel相比SOC疗效之间的关联。B细胞基因表达特征(GES)和CD19表达与axi-cel的无事件生存期改善显著相关(B细胞GES的P = 0.0002;CD19表达的P = 0.0165),但与SOC无关(B细胞GES的P = 0.9374;CD19表达的P = 0.5526)。无论B细胞GES和CD19表达如何,axi-cel均显示出优于SOC的无事件生存期(B细胞GES高的P = 8.56 10 -9;B细胞GES低的P = 0.0019;CD19基因高的P = 3.85 10 -9;CD19基因低的P = 0.0017)。恶性细胞中CD19低表达与由免疫抑制性基质和髓系基因组成的肿瘤GES相关,突显了恶性细胞特征与免疫微环境之间的相互关系对axi-cel结局的显著影响。肿瘤负荷、乳酸脱氢酶和细胞来源对SOC结局的影响大于对axi-cel结局的影响。与axi-cel结局改善相关的T细胞活化和B细胞GES随着治疗线数增加而降低。这些数据突显了axi-cel与SOC耐药机制的差异,并支持更早使用axi-cel进行干预。
The phase 3 ZUMA-7 trial in second-line large B cell lymphoma demonstrated superiority of anti-CD19 CAR T cell therapy (axicabtagene ciloleucel (axi-cel)) over standard of care (SOC; salvage chemotherapy followed by hematopoietic transplantation) ( NCT03391466 ).
Here, we present a prespecified exploratory analysis examining the association between pretreatment tumor characteristics and the efficacy of axi-cel versus SOC. B cell gene expression signature (GES) and CD19 expression associated significantly with improved event-free survival for axi-cel (P = 0. 0002 for B cell GES; P = 0. 0165 for CD19 expression) but not SOC (P = 0. 9374 for B cell GES; P = 0. 5526 for CD19 expression). Axi-cel showed superior event-free survival over SOC irrespective of B cell GES and CD19 expression (P = 8. 56 10 -9 for B cell GES high; P = 0. 0019 for B cell GES low; P = 3. 85 10 -9 for CD19 gene high; P = 0.
0017 for CD19 gene low). Low CD19 expression in malignant cells correlated with a tumor GES consisting of immune-suppressive stromal and myeloid genes, highlighting the inter-relation between malignant cell features and immune contexture substantially impacting axi-cel outcomes.
Tumor burden, lactate dehydrogenase and cell-of-origin impacted SOC more than axi-cel outcomes. T cell activation and B cell GES, which are associated with improved axi-cel outcome, decreased with increasing lines of therapy. These data highlight differences in resistance mechanisms to axi-cel and SOC and support earlier intervention with axi-cel.
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