Department of Biostatistics, School of Public Health, Fudan University, Shanghai, China.
Key Lab of Health Technology Assessment, Ministry of Health (Fudan University), Shanghai, China.
Adv Ther. 2019 Oct;36(10):2881-2894. doi: 10.1007/s12325-019-01056-8. Epub 2019 Aug 19.
Chimeric antigen receptor T cells (CAR-T) with anti-CD19 have shown great promise in the treatment of relapsed and refractory non-Hodgkin lymphoma (NHL) and acute lymphoblastic leukemia (ALL). Cytokine release syndrome (CRS) is the most significant and life-threatening side effect. This individual patient data (IPD) meta-analysis is to investigate the association of severe CRS with CAR-T dose and baseline factors.
We collected the individual patient-level data of 237 patients with NHL or ALL from 16 published papers. A logistic model was used to analyze the association of severe CRS incidence with CAR-T dose and baseline factors including age and baseline tumor burden. A generalized additive model (GAM) with logit link function was used to estimate the nonlinear response for severe CRS incidence with CAR-T dose and baseline factors.
Severe CRS incidence was positively associated with current proposed CAR-T treatment infusion dose at a range of 0.2 × 10-5.0 × 10 T cells per kg of body weight in patients less than or equal to 25 years old. For patients over 25 years old the association was not significant. Significant association between severe CRS incidence and baseline tumor burden was also shown in this study.
Our results provide novel insights that association between CAR-T treatment dose and severe CRS incidence only exists in patients less than or equal to 25 years old. Severe CRS incidence is associated with baseline tumor burden which indicates that tumor burden needs to be controlled with induced chemotherapy before CAR-T treatment.
嵌合抗原受体 T 细胞(CAR-T)针对 CD19 的治疗在复发和难治性非霍奇金淋巴瘤(NHL)和急性淋巴细胞白血病(ALL)的治疗中显示出巨大的潜力。细胞因子释放综合征(CRS)是最显著和最具威胁生命的副作用。这项个体患者数据(IPD)的荟萃分析旨在研究严重 CRS 与 CAR-T 剂量和基线因素的关系。
我们从 16 篇已发表的论文中收集了 237 例 NHL 或 ALL 患者的个体患者水平数据。使用逻辑模型分析严重 CRS 发生率与 CAR-T 剂量和基线因素(包括年龄和基线肿瘤负荷)的关系。使用带有 logit 链接函数的广义加性模型(GAM)来估计严重 CRS 发生率与 CAR-T 剂量和基线因素之间的非线性关系。
在年龄小于或等于 25 岁的患者中,严重 CRS 发生率与目前提出的 CAR-T 治疗输注剂量呈正相关,范围在 0.2×10-5.0×10 T 细胞/kg 体重。对于年龄大于 25 岁的患者,这种关联不显著。本研究还显示了严重 CRS 发生率与基线肿瘤负荷之间的显著关联。
我们的结果提供了新的见解,即 CAR-T 治疗剂量与严重 CRS 发生率之间的关联仅存在于年龄小于或等于 25 岁的患者中。严重 CRS 发生率与基线肿瘤负荷有关,这表明在 CAR-T 治疗前需要通过诱导化疗控制肿瘤负荷。