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:[(18)F]FDG PET/CT for prognosis and toxicity prediction of diffuse large B-cell lymphoma patients with chimeric antigen receptor T-cell therapy.
[(18)F]FDG PET/CT for prognosis and toxicity prediction of diffuse large B-cell lymphoma patients with chimeric antigen receptor T-cell therapy.
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在这组接受 CAR-T 细胞治疗的 DLBCL 患者中,M1 时的 SUV max、M1 时的 TLG 和 IPI 是 PFS 的独立危险因素,M1 时的 SUV max 和 SUV max % 是 OS 的独立危险因素。
CAR-T 细胞疗法已证实可使复发和/或难治性弥漫性大B细胞淋巴瘤(DLBCL)患者获益。准确及时地预测CAR-T 疗效和毒性非常重要。本研究评估将[18F]氟脱氧葡萄糖正电子发射断层显像/计算机断层扫描([18F]FDG PET/CT)与临床及实验室指标结合,用于预测抗CD19 CAR-T 治疗DLBCL患者结局和毒性的价值。
回顾性分析38例接受CAR-T 治疗的DLBCL患者;其在CAR-T 输注前3个月内及输注后1个月(M1)均接受[18F]FDG PET/CT检查,并进行定期随访。记录输注前和M1时最大标准化摄取值(SUVmax)、总病灶糖酵解(TLG)、代谢肿瘤体积(MTV)、临床指标和实验室指标,并计算其变化。以无进展生存期(PFS)和总生存期(OS)为终点,基于多变量Cox回归建立并评估两个预测模型。并使用输注前指标预测毒性反应中的细胞因子释放综合征(CRS)分级。
中位随访18.2个月的生存分析显示,国际预后指数(IPI)、M1时SUVmax及M1时TLG高于最佳阈值的患者PFS较短:中位PFS分别为IPI≥2组8.1个月、IPI<2组26.2个月(P=0.025);SUVmax≥5.69组3.1个月、<5.69组26.8个月(P<0.001);TLG≥23.79组3.1个月、<23.79组26.8个月(P<0.001)。此外,M1时SUVmax及SUVmax变化率高于各自最佳阈值的患者OS较短:SUVmax≥15.93组12.6个月,而<15.93组未达到(P<0.001);SUVmax变化率≥−46.76组32.5个月,而低于−46.76组未达到(P=0.012)。研究以列线图展示了两种新型PFS和OS预测模型;校准分析和决策曲线显示模型表现良好。Spearman秩相关分析显示,CRS分级与输注前SUVmax强相关(rs=0.806,P<0.001),与输注前TLG中度相关(rs=0.534,P<0.001)。多项Logistic回归显示,输注前SUVmax与发生较高级别CRS的风险相关(P<0.001)。
在该组接受CAR-T 的DLBCL患者中,M1时SUVmax、M1时TLG及IPI是PFS独立危险因素;M1时SUVmax和SUVmax变化率是OS独立危险因素。基于这些指标建立并验证了两个模型,可评估PFS和OS。此外,输注前SUVmax与后续CRS严重程度相关。[18F]FDG PET/CT代谢参数可识别最可能从CAR-T 获益的DLBCL患者,输注前数值还可能提前预测毒性。
Chimeric antigen receptor (CAR) T-cell therapy has been confirmed to benefit patients with relapsed and/or refractory diffuse large B-cell lymphoma (DLBCL). It is important to provide precise and timely predictions of the efficacy and toxicity of CAR T-cell therapy. In this study, we evaluated the value of [ 18 F]fluorodeoxyglucose positron emission tomography/computed tomography ([ 18 F]FDG PET/CT) combining with clinical indices and laboratory indicators in predicting outcomes and toxicity of anti-CD19 CAR T-cell therapy for DLBCL patients.
Thirty-eight DLBCL patients who received CAR T-cell therapy and underwent [ 18 F]FDG PET/CT within 3 months before (pre-infusion) and 1 month after CAR T-cell infusion (M1) were retrospectively reviewed and regularly followed up. Maximum standardized uptake value (SUV max ), total lesion glycolysis (TLG), metabolic tumor volume (MTV), clinical indices, and laboratory indicators were recorded at pre-infusion and M1 time points, and changes in these indices were calculated. Progression-free survival (PFS) and overall survival (OS) were as endpoints. Based on the multivariate Cox regression analysis, two predictive models for PFS and OS were developed and evaluated the efficiency. Pre-infusion indices were subjected to predict the grade of cytokine release syndrome (CRS) resulting from toxic reactions.
For survival analysis at a median follow-up time of 18.2 months, patients with values of international prognostic index (IPI), SUV max at M1, and TLG at M1 above their optimal thresholds had a shorter PFS (median PFS: 8.1 months [IPI 2] vs. 26.2 months [IPI < 2], P = 0.025; 3.1 months [SUV max 5.69] vs. 26.8 months [SUV max < 5.69], P < 0.001; and 3.1 months [TLG 23.79] vs. 26.8 months [TLG < 23.79], P < 0.001). In addition, patients with values of SUV max at M1 and SUV max % above their optimal thresholds had a shorter OS (median OS: 12.6 months [SUV max 15.93] vs. 'not reached' [SUV max < 15.93], P < 0.001; 32.5 months [ SUV max % -46.76] vs. 'not reached' [ SUV max % < -46.76], P = 0.012). Two novel predictive models for PFS and OS were visualized using nomogram. The calibration analysis and the decision curves demonstrated good performance of the models. Spearman's rank correlation (r s ) analysis revealed that the CRS grade correlated strongly with the pre-infusion SUV max (r s = 0.806, P < 0.001) and moderately with the pre-infusion TLG (r s = 0.534, P < 0.001). Multinomial logistic regression analysis revealed that the pre-infusion value of SUV max correlated with the risk of developing a higher grade of CRS (P < 0.001).
In this group of DLBCL patients who underwent CAR T-cell therapy, SUV max at M1, TLG at M1, and IPI were independent risk factors for PFS, and SUV max at M1 and SUV max % for OS. Based on these indicators, two novel predictive models were established and verified the efficiency for evaluating PFS and OS. Moreover, pre-infusion SUV max correlated with the severity of any subsequent CRS. We conclude that metabolic parameters measured using [ 18 F]FDG PET/CT can identify DLBCL patients who will benefit most from CAR T-cell therapy, and the value before CAR T-cell infusion may predict its toxicity in advance.
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