在HR-阳性/HER2-阴性乳腺癌中,通过基于模型的药物开发方法,为达托帕马布德鲁克斯泰康 (Datopotamab Deruxtecan) 提供最佳剂量证明
Zoey Tang1, KyoungSoo Lim1, Yu Jiang1
1Clinical Pharmacology and Quantitative Pharmacology, AstraZeneca, Gaithersburg, Maryland, USA.
Clinical and translational science
|February 15, 2026
概括
基于模型的药物开发验证了每3周对HR+/HER2-乳腺癌的6毫克/千克的达托帕马布德鲁克斯泰坎 (Dato-DXd) 剂量,显示了改善的瘤控制和无进展的生存率.
科学领域:
- 在瘤学瘤学.
- 制药指标 (Pharmacometrics) 是一个指标.
- 临床药理学 临床药理学
背景情况:
- 项目Optimus正在推进瘤学中剂量选择和优化.
- 基于模型的药物开发 (MIDD) 对于验证药物剂量至关重要.
研究的目的:
- 为了验证每3周一次6毫克/千克的最佳剂量 (Q3W) 达托帕马布德鲁克斯泰干 (Dato-DXd).
- 为了支持HR阳性/HER2阴性乳腺癌 (HR+/HER2-BC) 的患者.
主要方法:
- 使用了MIDD方法.
- 开发了一个瘤生长抑制 (TGI) - 无进展生存 (PFS) 建模框架.
- 在各种Dato-DXd剂量级别进行虚拟试验模拟.
主要成果:
- 模拟表明,6 mg/kg Q3W Dato-DXd提供了优越的瘤控制.
- 在HR+/HER2-BC患者中,6mg/kg Q3W剂量证明了与较低剂量相比,改善了PFS.
- 建立了PK暴露,瘤动态和PFS之间的关系.
结论:
- 达托-DXd的6mg/kgQ3W剂量被验证为HR+/HER2-BC的最佳剂量.
- 强调了先进建模在剂量优化中的重要性.
- 强调MIDD在瘤药物开发中的作用.
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