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一个数据驱动的逐步方法交叉验证临床抗药抗体 (ADA) 试验
Sally Ye1, Yan Mao2, Kelly Coble2
1Bioanalysis (Department of Drug Metabolism & Pharmacokinetics), Boehringer Ingelheim Pharmaceuticals, Inc., 900 Ridgebury Road, Ridgefield, Connecticut, 06877, USA. sally.ye@boehringer-ingelheim.com.
The AAPS journal
|February 10, 2026
概括
实验室之间对抗药物抗体 (ADA) 测定进行交叉验证是很困难的,因为实践不一致. 本文详细介绍了一种数据驱动的逐步方法,以协调ADA试验交叉验证以获得可靠的结果.
科学领域:
- 生物分析科学 生物分析科学
- 免疫性评估的免疫性评估
- 制药发展 制药发展
背景情况:
- 实验室之间对生物分析分析的交叉验证存在重大挑战.
- 抗药抗体 (ADA) 测定特别难以交叉验证,因为缺乏具体的监管指导.
- 目前在ADA测定交叉验证方面的做法在整个行业中没有协调,导致不同的方法.
研究的目的:
- 介绍博林格英格尔海姆公司对临床ADA试验交叉验证的数据驱动的逐步方法.
- 通过分享公司的经验,促进对ADA试验交叉验证的行业标准的协调.
- 建立一种可靠的方法,用于在参考实验室和比较实验室之间进行ADA试验的交叉验证.
主要方法:
- 针对交叉验证,采用了三步数据驱动的方法.
- 第1步包括在参考实验室验证测试,并在对比实验室进行合格.
- 步骤2和步骤3集中在通过统计分析和对盲目样本的分析来证明可比的切割点评估和一致的样本分类 (ADA-负/正).
主要成果:
- 提出的逐步方法成功交叉验证了临床ADA试验.
- 实验室之间实现了可比的反应和一致的结果分类.
- 案例研究证明了数据驱动的逐步方法的成功应用.
结论:
- 博林格英格尔海姆的数据驱动的逐步方法为ADA试验交叉验证提供了一个强大的策略.
- 成功的交叉验证确保在不同实验室进行一致和可靠的免疫性测试.
- 这种方法有助于协调ADA试验验证的行业标准.
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