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 gene expression signatures associated with outcome in large B-cell lymphoma treated with CD19-directed CAR T-cell therapy (axicabtagene ciloleucel).
Tumor gene expression signatures associated with outcome in large B-cell lymphoma treated with CD19-directed CAR T-cell therapy (axicabtagene ciloleucel).
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我们的转录组分析识别出了可能预测 CD19 靶向 CAR-T 细胞治疗结局的基因表达特征,这些发现对风险分层和下一代产品的开发具有参考价值。
CAR-T 细胞疗法为B细胞淋巴瘤患者带来了变革性结局;然而,很大一部分患者仍面临复发风险,这凸显了揭示耐药机制和预测性生物标志物的必要性。在此,我们利用ZUMA-7 III期随机试验,该试验针对接受axicabtagene ciloleucel(axi-cel;靶向CD19的CAR-T 细胞)治疗的复发/难治性大B细胞淋巴瘤(LBCL)患者,以发现与结局相关的肿瘤基因表达特征(GES)。
利用134例axi-cel患者的肿瘤转录组学数据,我们采用多变量惩罚Cox模型分析无事件生存期(EFS)、无进展生存期(PFS)和缓解持续时间(DOR)。结果与讨论:我们识别出两个新的GES,一个六基因/转录本特征(6-GES;CD19、CD45RA、CCL22、KLRK1、SOX11、SIGLEC5)与axi-cel治疗后改善的结局相关(EFS的HR:0.27,95% CI:0.16-0.44),代表具有丰富靶抗原(CD19)表达、黏附分子以及相对低免疫浸润(主要由细胞毒性淋巴细胞(T和NK细胞)和DCs组成)的淋巴瘤;其次,一个17基因/转录本特征(17-GES;CD45RO、BCL2、IL-18R1、TNFSF4 [OX40L]、KLRB1 [CD161]、KIR3DL2、ITGB8、DUSP5、GPC4、PSMB5、RPS6KB1、SERPINA9、NBN、GLUD1、ESR1、ARID1A和SLC16A1)与axi-cel治疗后疾病进展相关(EFS的HR:6.12,95% CI:3.57-10.50),与高免疫炎症和逃逸机制一致,例如参与受损DNA修复或染色质重塑的基因上调、凋亡抑制以及代谢限制性环境。这些特征与ZUMA-7标准治疗组(化疗,随后移植)或一线治疗中的结局不相关,支持其预测性而非预后性价值。这些发现在通过RNA-seq分析的ZUMA-7样本子集中得到了技术性重现(axi-cel,n=124;SOC,n=125)。在axi-cel治疗后进展时,6-GES降低,而17-GES升高,这与这些特征代表CAR-T 细胞治疗应答和耐药相关特征的概念一致。
With tumor transcriptomics from 134 axi-cel patients, we employed multivariate penalized Cox models analyzing event-free survival (EFS), progression-free survival (PFS), and duration of response (DOR). RESULTS AND DISCUSSION: We identified two novel GES, a six-gene/transcript signature (6-GES; CD19, CD45RA, CCL22, KLRK1, SOX11, SIGLEC5) correlated with improved outcome after axi-cel (HR: 0.27, 95% CI: 0.16-0.44 for EFS), representing lymphomas with abundant target antigen (CD19) expression, adhesion molecules, and relatively low immune infiltration mostly composed of cytotoxic lymphocytes (T and NK cells) and DCs, and secondly, a 17-gene/transcript signature (17-GES; CD45RO, BCL2, IL-18R1, TNFSF4 [OX40L], KLRB1 [CD161], KIR3DL2, ITGB8, DUSP5, GPC4, PSMB5, RPS6KB1, SERPINA9, NBN,GLUD1, ESR1, ARID1A, and SLC16A1) correlated with disease progression after axi-cel (HR: 6.12, 95% CI: 3.57-10.50 for EFS), consistent with high immune inflammation and escape mechanisms, such as the upregulation of genes involved in repair of damaged DNA or chromatin remodeling, inhibition of apoptosis, and a metabolically restrictive environment. These signatures did not correlate with outcome in the standard-of-care arm of ZUMA-7 (chemotherapy, followed by transplant) or frontline therapy, supporting their predictive rather than prognostic value. The findings were technically reproduced in a subset of ZUMA-7 samples profiled by RNA-seq (axi-cel, n=124; SOC, n=125). The 6-GES was reduced, whereas the 17-GES was elevated at progression post axi-cel, consistent with the notion that these signatures represent features relevant for response and resistance to CAR T-cell therapy.
Our transcriptomic analysis identified gene expression signatures potentially predictive of outcome with CD19-directed CAR T-cell therapy, and these findings are informative for risk stratification and development of next-generation products.
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