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使用贝叶斯方法外推生存数据:利用多发性骨髓瘤中 Cilta-Cel 治疗外部数据的案例研究

英文原题:Extrapolation of Survival Data Using a Bayesian Approach: A Case Study Leveraging External Data from Cilta-Cel Therapy in Multiple Myeloma.

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Extrapolation of Survival Data Using a Bayesian Approach: A Case Study Leveraging External Data from Cilta-Cel Therapy in Multiple Myeloma.

PubMed 2023/06/04(内容时间) Oncol Ther Q2 · IF 3.4(JCR 2025)

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研究概要

有信息贝叶斯生存模型减少了长期预测的变异,并提供了与无信息对数正态模型相似的预测。贝叶斯模型基于 12 个月数据生成的 OS 预测范围更窄且更合理,与观察到的 28 个月数据一致。

研究思路结论见上方概要

从较短期临床试验数据外推长期总生存期(OS)是肿瘤学卫生技术评估的关键。然而,使用传统方法进行外推往往存在不确定性。以ciltacabtagene autoleucel(cilta-cel)——一种用于多发性骨髓瘤的CAR-T 细胞疗法——为例,我们使用灵活的贝叶斯方法展示了利用外部长期数据来减少长期外推中的不确定性。

关键性CARTITUDE-1试验(NCT03548207)提供了cilta-cel的主要疗效数据,包括OS的12个月中位随访快照。I期LEGEND-2研究(NCT03090659)的长期(48个月中位随访)生存数据也可获得。CARTITUDE-1的12个月OS数据通过两种方式进行外推:(1)采用标准参数分布的常规生存模型(无信息先验),以及(2)贝叶斯生存模型,其形状先验信息来自LEGEND-2的48个月数据。为进行验证,将基于CARTITUDE-1 12个月数据的外推结果与观察到的CARTITUDE-1 28个月数据进行比较。

使用传统无信息参数模型对CARTITUDE-1的12个月数据进行外推的结果变异性很大。使用来自48个月LEGEND-2数据集的信息先验后,不同时间点预测OS的范围 consistently 更窄。除无信息对数正态模型差异最低外,信息贝叶斯模型中外推曲线与28个月CARTITUDE-1数据之间的面积差异通常较低。

展开英文摘要原文

The pivotal CARTITUDE-1 trial (NCT03548207) provided the primary efficacy data for cilta-cel, including a 12-month median follow-up snapshot of OS. Longer-term (48-month median follow-up) survival data from the phase I LEGEND-2 study (NCT03090659) were also available. Twelve-month CARTITUDE-1 OS data were extrapolated in two ways: (1) conventional survival models with standard parametric distributions (uninformed), and (2) Bayesian survival models whose shape prior was informed from 48-month LEGEND-2 data. For validation, extrapolations from 12-month CARTITUDE-1 data were compared with observed 28-month CARTITUDE-1 data.

Extrapolations of the 12-month CARTITUDE-1 data using conventional uninformed parametric models were highly variable. Using informative priors from the 48-month LEGEND-2 dataset, the ranges of projected OS at different timepoints were consistently narrower. Area differences between the extrapolation curves and the 28-month CARTITUDE-1 data were generally lower in informed Bayesian models, except for the uninformed log-normal model, which had the lowest difference.

Informed Bayesian survival models reduced variation of long-term projections and provided similar projections as the uninformed log-normal model. Bayesian models generated a narrower and more plausible range of OS projections from 12-month data that aligned with observed 28-month data. TRIAL REGISTRATION: CARTITUDE-1 ClinicalTrials.gov identifier, NCT03548207. LEGEND-2 ClinicalTrials.gov identifier, NCT03090659, registered retrospectively on 27 March 2017, and ChiCTR-ONH-17012285.

论文信息

作者
Palmer S、Lin Y、Martin TG、Jagannath S、Jakubowiak A、Usmani SZ、Buyukkaramikli N、Phelps H
第一作者单位
Center for Health Economics, University of York, York, UK.United Kingdom
通讯作者单位
Janssen Market Access, Raritan, NJ, USA. NBuyukka@ITS.JNJ.com.United States
期刊
Oncology and therapy2023 Sep
原文标识
PubMed 37270762 · DOI 10.1007/s40487-023-00230-x