决定异体 CAR T 细胞排斥与扩增的细胞和分子机制
Cellular and molecular mechanisms determining allogeneic CAR T cell rejection and expansion.
我们评估了11例接受单一批次cemacabtagene ansegedleucel(cema-cel)治疗的大B细胞淋巴瘤患者,cemacabtagene ansegedleucel是一种异体抗CD19 CAR T产品。
英文原题:Fludarabine Lymphodepletion Exposure is Associated with Toxicities after Idecabtagene-Vicleucel in Relapsed/Refractory Multiple Myeloma: Real-World Experience from the US Myeloma Immunotherapy Consortium.
在该真实世界中接受 ide-cel 治疗的人群中,预测的 Flu 暴露是 CAR-T 毒性的独立预测因素。
背景:伊德卡布他基因-维克乐赛(ide-cel)是一种靶向BCMA的CAR-T疗法,在复发/难治性多发性骨髓瘤(RRMM)中应答率较高,但应答持续时间有限,且多数患者会出现毒性。氟达拉滨(Flu)是淋巴细胞清除方案的重要组成部分,但其药代动力学(PK)变异显著。目的:鉴于Flu暴露量(AUC)可预测CD19靶向CAR-T治疗结局,我们假设其也可预测ide-cel治疗结局。本研究旨在确定标准治疗(SOC)ide-cel治疗后氟达拉滨AUC与临床结局的关联。研究设计:回顾性分析美国多发性骨髓瘤免疫治疗联盟10个中心接受ide-cel治疗的RRMM患者。采用基于累积Flu剂量及估算肾小球滤过率(eGFR)、体重(BW)等PK协变量的群体PK方法,预测Flu AUC和Cmax,并通过单变量及多变量分析进行检验。结果:共分析285例患者,预测Flu AUC中位数为19.01(11.23–41.47)mg·h/L。Flu AUC与第90天总缓解率(ORR)呈关联趋势(OR 2.11;95% CI 0.99–4.68;P=.057)。Flu AUC与1级细胞因子释放综合征(CRS,P=.013)及1级免疫效应细胞相关神经毒性综合征(ICANS,P=.032)显著相关,这与患者托珠单抗及皮质类固醇使用增加相一致。Flu AUC还与第60天3/4级血小板减少相关(P=.03)。此外,第90天发生3/4级中性粒细胞减少(P=.058)和感染(P=.017)的概率虽未达到统计学显著性,但增幅具有临床意义。结论:在这一真实世界ide-cel治疗人群中,预测的Flu暴露量是CAR-T毒性的独立预测因素。仍需通过前瞻性治疗药物监测验证这些发现,以进一步了解个体化Flu剂量能否减轻ide-cel治疗后的毒性。
BACKGROUND: Idecabtagene vicleucel (ide-cel) is a BCMA-directed CAR-T associated with high response rates in relapsed/refractory multiple myeloma (RRMM), yet responses are not durable and most patients experience toxicities. Fludarabine (Flu) is a key component of lymphodepletion but exhibits significant pharmacokinetic (PK) variability. OBJECTIVE: Given Flu exposure (AUC) predicts outcomes after CD19-directed CAR-T, we hypothesized it would predict outcomes after ide-cel. Our objective was to determine the association between fludarabine AUC and clinical outcomes after standard-of-care (SOC) ide-cel. STUDY DESIGN: RRMM patients receiving ide-cel from 10 US Multiple Myeloma Immunotherapy Consortium centers were retrospectively analyzed. A population PK approach using cumulative Flu dose and PK covariates, eGFR and body weight (BW), was used to predict Flu AUC and C max and these were tested in univariable and multivariable analysis. RESULTS: 285 patients were analyzed, and the median predicted Flu AUC was 19.01 (11.23-41.47) mg * h/L. We observed an association between Flu AUC and Day 90 ORR (OR 2.11; 95% CI 0.99-4.68; P = .057). Flu AUC was significantly associated with grade 1 CRS (P = .013), and grade 1 ICANS (P = .032), which was consistent with the observed increase in tocilizumab and corticosteroid use in these patients. Flu AUC was also associated with day 60 grade 3/4 thrombocytopenia (P = .03). A non-statistical but clinically significant increase in the odds of occurrence of day 90 grade 3/4 neutropenia (P = .058) and infection (P = .017) was also observed. CONCLUSION: Predicted Flu exposure is an independent predictor of CAR-T toxicities in this real-world ide-cel-treated population. Validation of these findings with prospective therapeutic drug monitoring is needed to gain further insight into how personalized Flu dosing can mitigate these toxicities after ide-cel.
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