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:Rapid identification of early infections in febrile patients after CD19 target CAR-T cell therapy for B-cell malignancies.
Rapid identification of early infections in febrile patients after CD19 target CAR-T cell therapy for B-cell malignancies.
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CRS 和既往异基因 HCT 是发热性 B 细胞恶性肿瘤患者 CTI 后感染的独立危险因素。我们使用 PCT 和 CRP 识别用于预测感染的新模型,以及使用 PCT 和 CRS 识别用于预测严重感染的新模型,为未来指导治疗决策和提高 CAR-T 细胞疗法疗效提供了可能。
CD19靶向CAR-T(CAR-T)细胞疗法是一种革命性干预手段,在难治/复发性(R/R)B细胞恶性肿瘤患者中展现出显著的缓解率。然而,该疗法的潜在副作用,尤其是细胞因子释放综合征(CRS)和感染,因其临床特征重叠而构成重大挑战。在CD19靶向CAR-T 细胞输注(CTI)后迅速区分CRS与感染仍是临床难题。本研究旨在分析B细胞恶性肿瘤患者CTI后30天内发热患者中感染的发生率,并确定早期感染检测的关键指标。
在这项回顾性队列研究中,对104例连续接受CAR-T 治疗的R/R B细胞恶性肿瘤患者队列进行了回顾。收集了包括年龄、性别、CRS、ICANS、治疗史、感染发生率和治疗反应在内的临床数据。采用化学发光法分析血清生物标志物降钙素原(PCT)、白细胞介素-6(IL-6)和C反应蛋白(CRP)水平。统计分析采用Pearson卡方检验、t检验、Mann-Whitney U检验、Kaplan-Meier生存分析、Cox比例风险回归模型、Spearman秩相关以及受试者工作特征(ROC)曲线分析,以评估诊断准确性,并通过多因素logistic回归建立预测模型。
在本研究中,38例患者(36.5%)在CAR-T 细胞输注后前30天内发生感染(30例细菌、5例真菌和3例病毒感染)。总体而言,细菌、真菌和病毒感染分别在CAR-T 细胞输注后中位7、8和9天被检出。既往异基因造血细胞移植(HCT)是感染的独立危险因素(Hazard Ratio [HR]: 4.432 [1.262-15.565], P = 0.020)。此外,CRS是感染(HR: 2.903 [1.577-5.345], P < 0.001)和严重感染(9.040 [2.256-36.232], P < 0.001)的独立危险因素。血清PCT、IL-6和CRP在CAR-T 治疗后早期感染预测中具有价值,尤其是PCT,其ROC曲线下面积(AUC)最高,为0.897。纳入PCT和CRP的诊断模型AUC为0.903,敏感性和特异性均高于83%。对于严重感染,纳入CRS严重程度和PCT的模型显示出卓越的AUC为0.991,具有完美的敏感性和高特异性。基于上述分析,我们提出了一个在CAR-T 细胞治疗期间快速识别早期感染的工作流程。
CD19-targeted chimeric antigen receptor T (CAR-T) cell therapy stands out as a revolutionary intervention, exhibiting remarkable remission rates in patients with refractory/relapsed (R/R) B-cell malignancies. However, the potential side effects of therapy, particularly cytokine release syndrome (CRS) and infections, pose significant challenges due to their overlapping clinical features. Promptly distinguishing between CRS and infection post CD19 target CAR-T cell infusion (CTI) remains a clinical dilemma. Our study aimed to analyze the incidence of infections and identify key indicators for early infection detection in febrile patients within 30 days post-CTI for B-cell malignancies.
In this retrospective cohort study, a cohort of 104 consecutive patients with R/R B-cell malignancies who underwent CAR-T therapy was reviewed. Clinical data including age, gender, CRS, ICANS, treatment history, infection incidence, and treatment responses were collected. Serum biomarkers procalcitonin (PCT), interleukin-6 (IL-6), and C-reactive protein (CRP) levels were analyzed using chemiluminescent assays. Statistical analyses employed Pearson's Chi-square test, t-test, Mann-Whitney U-test, Kaplan-Meier survival analysis, Cox proportional hazards regression model, Spearman rank correlation, and receiver operating characteristic (ROC) curve analysis to evaluate diagnostic accuracy and develop predictive models through multivariate logistic regression.
In this study, 38 patients (36.5%) experienced infections (30 bacterial, 5 fungal, and 3 viral) within the first 30 days of CAR T-cell infusion. In general, bacterial, fungal, and viral infections were detected at a median of 7, 8, and 9 days, respectively, after CAR T-cell infusion. Prior allogeneic hematopoietic cell transplantation (HCT) was an independent risk factor for infection (Hazard Ratio [HR]: 4.432 [1.262-15.565], P = 0.020). Furthermore, CRS was an independent risk factor for both infection ((HR: 2.903 [1.577-5.345], P < 0.001) and severe infection (9.040 [2.256-36.232], P < 0.001). Serum PCT, IL-6, and CRP were valuable in early infection prediction post-CAR-T therapy, particularly PCT with the highest area under the ROC curve (AUC) of 0.897. A diagnostic model incorporating PCT and CRP demonstrated an AUC of 0.903 with sensitivity and specificity above 83%. For severe infections, a model including CRS severity and PCT showed an exceptional AUC of 0.991 with perfect sensitivity and high specificity. Based on the aforementioned analysis, we proposed a workflow for the rapid identification of early infection during CAR-T cell therapy.
CRS and prior allogeneic HCT are independent infection risk factors post-CTI in febrile B-cell malignancy patients. Our identification of novel models using PCT and CRP for predicting infection, and PCT and CRS for predicting severe infection, offers potential to guide therapeutic decisions and enhance the efficacy of CAR-T cell therapy in the future.
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