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模型引导的抗肿瘤药物剂量选择

李健 王骏

中国临床药理学杂志2024,Vol.40Issue(11):1693-1696,4.
中国临床药理学杂志2024,Vol.40Issue(11):1693-1696,4.DOI:10.13699/j.cnki.1001-6821.2024.11.033

模型引导的抗肿瘤药物剂量选择

Model-informed oncology drugs dose selection

李健 1王骏1

作者信息

  • 1. 国家药品监督管理局药品审评中心,北京 100076
  • 折叠

摘要

Abstract

Traditional dose selection strategy for oncology drugs is often radical.However,with the development of small molecule targeted therapies,biologics and immunotherapies,exploring the optimal dose and schedule is crucial to ensure patients'access to the most safe and effective treatments.Model-informed drug development(MIDD)integrates physiology,pharmacology and disease process by using modeling and simulation methods,to guide new drug study design and dose optimization,which has been extensively used in the development of oncology drugs.In this article,the application of MIDD in oncology drug dose selection is discussed,focusing on its application on dose selection in early clinical research,late clinical research,combination therapy,specific populations and dose optimization after marketing,and the challenges of MIDD application are also briefly discussed.

关键词

模型引导的药物研发/肿瘤/剂量选择/暴露-效应关系/生物标志物

Key words

model-informed drug development/oncology/dose selection/exposure-response relationship/biomarker

分类

医药卫生

引用本文复制引用

李健,王骏..模型引导的抗肿瘤药物剂量选择[J].中国临床药理学杂志,2024,40(11):1693-1696,4.

中国临床药理学杂志

OA北大核心CSTPCD

1001-6821

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