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CAR-T 细胞治疗的早期剂量探索设计

英文原题:Early Phase Dose-Finding Designs for CAR-T Cell Therapies.

查看英文原题

Early Phase Dose-Finding Designs for CAR-T Cell Therapies.

PubMed 2026/07/01(内容时间) Pharm Stat Q2 · IF 1.5(JCR 2025)

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中文摘要

嵌合抗原受体(CAR)T细胞是一种免疫疗法,已革新复发/难治性淋巴瘤和白血病的治疗。与标准治疗相比,该疗法缓解率及中长期总生存率更高,毒性更低。

然而,由于缺少剂量限制性毒性(DLT)且剂量-效应关系不明确,传统I期临床试验设计无法准确确定最佳剂量(OD)。除临床结局外,研究者还会在多个时间点测量连续血样中的CAR-T 细胞扩增情况。

我们提出一种新型CAR-T 早期剂量探索设计,同时利用毒性和活性终点确定OD。以外周血CAR-T 细胞数量作为活性指标,相较传统采用的短期临床应答更为敏感。对每位患者的重复细胞计数采用双指数模型,并在贝叶斯框架下进行估计。该模型基于生物学考量提出,且足够灵活,可适配不同形态的细胞扩增曲线。研究考察了三种活性标准:(1)特定时间点的细胞数量;(2)所有细胞被清除前的持续时间;(3)细胞扩增曲线下面积。模拟研究显示,即使样本量较小,该方法仍可高准确度地选择最佳剂量。

展开英文摘要原文

Chimeric Antigen Receptor (CAR)-T cell is an immunotherapy which revolutionised the treatment of relapsed/refractory lymphoma and leukaemia. It is shown to have a higher response rate, higher mid-to-long term overall survival, and lower toxicity than standard treatments.

However, due to a lack of dose-limiting toxicity (DLT) and unclear dose-effect relationship, traditional phase I designs of clinical trials cannot lead to accurate selections of the optimal dose (OD). Beside clinical outcomes, the CAR-T cell expansion from serial blood samples is measured at various time points.

We propose a novel early phase dose-finding design for CAR-T cells, using both toxicity and activity endpoints to locate the OD. The number of CAR-T cells measured in the peripheral blood is used to indicate activity, which is more sensitive than the short-term clinical responses traditionally used. A Bi-Exponential model is used for the repeated measures of the number of cells for each patient, and is estimated under a Bayesian framework.

The model is motivated by biological concerns and is flexible enough to accommodate different shapes of the cell-expansion curve. Three criteria for activity are considered: (1) the number of cells at specific time points, (2) the duration before all cells are eliminated, (3) the area under the cell-expansion curve. Simulation studies show that the OD can be selected with high accuracy even under small sample sizes.

论文信息

作者
Chen W、Mozgunov P、Mullaert J、Paoletti X
第一作者单位
MRC Biostatistics Unit, University of Cambridge, Cambridge, UK.United Kingdom
通讯作者单位
Clinical Research Division, Institut Curie, Paris, France.France
期刊
Pharmaceutical statistics2026 Jul-Aug
原文标识
PubMed 42312897 · DOI 10.1002/pst.70102