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生理药代动力学模型在EGFR-TKI精准治疗中的应用进展
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杨莹莹 1, 2* ,邵佳琪 ,向秋林 ,李国兴 ,余 娴 (1. 重庆医科大学附属第二医院Ⅰ期临床试验中心,重庆
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400060;2.重庆医科大学药学院,重庆 400016)
中图分类号 R969.1;R969.3 文献标志码 A 文章编号 1001-0408(2025)08-1013-06
DOI 10.6039/j.issn.1001-0408.2025.08.22
摘 要 表皮生长因子受体-酪氨酸激酶抑制剂(EGFR-TKI)是一类小分子肿瘤靶向治疗药物,是EGFR突变晚期非小细胞肺癌
(NSCLC)的一线治疗药物,代表药物有吉非替尼、达可替尼、奥希替尼等。临床治疗中,肿瘤患者若存在药物联用、肝肾损伤等特
殊情况,可能需调整EGFR-TKI的剂量。生理药代动力学(PBPK)模型可以预测药物在人体内的药代动力学(PK)过程,是临床剂
量调整的重要工具。本文梳理了 PBPK 模型的建模方法、流程以及常用建模软件,总结了截至 2024 年 6 月 30 日 PBPK 模型在
EGFR-TKI精准用药中的应用现状,发现PBPK模型的建模方法常用“自下而上”法和中间法,流程包括收集参数、房室选择、模型
验证、模型应用4个步骤,常用软件有Simcyp、GastroPlus及开源软件PK-Sim等。PBPK模型可用于预测EGFR-TKI与代谢酶诱导
剂或抑制剂、抑酸药、中西药联用时的药物-药物相互作用,结合基因组学调整药物剂量,预测特殊人群(肝肾功能不全患者、儿童
患者)PK过程,评价药物的疗效和安全性,以及从动物模型外推预测人体PK等。
关键词 生理药代动力学模型;EGFR-TKI;精准治疗;药物相互作用;非小细胞肺癌
Advances in the application of physiologically-based pharmacokinetic model in EGFR-TKI precision
therapy
YANG Yingying ,SHAO Jiaqi ,XIANG Qiulin ,LI Guoxing ,YU Xian(1. Phase Ⅰ Clinical Trial Center, the
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Second Affiliated Hospital of Chongqing Medical University, Chongqing 400060, China;2. College of
Pharmacy, Chongqing Medical University, Chongqing 400016, China)
ABSTRACT Epidermal growth factor receptor-tyrosine kinase inhibitor (EGFR-TKI) represent a class of small-molecule targeted
therapeutics for oncology treatment, and serve as first-line therapy for advanced non-small cell lung cancer (NSCLC) with EGFR-
sensitive mutations, with representative agents including gefitinib, dacomitinib, and osimertinib. In clinical practice, dose
adjustment of EGFR-TKI may be required for cancer patients under special circumstances such as drug combinations or hepatic/
renal impairment. Physiologically-based pharmacokinetic (PBPK) model, capable of predicting pharmacokinetic (PK) processes in
humans, has emerged as a vital tool for clinical dose optimization. This article sorts the modeling methodologies, workflows, and
commonly used software tools for PBPK model, and summarizes the current applications of PBPK model in EGFR-TKI precision
therapy as of June 30, 2024. Findings demonstrate that PBPK modeling methods commonly employ the “bottom-up” approach and
the middle-out approach. The process typically involves four steps: parameter collection, compartment selection, model validation,
and model application. Commonly used software for modeling includes Simcyp, GastroPlus, and open-source software such as PK-
Sim. PBPK model can be utilized for predicting drug-drug interactions of EGFR-TKI co-administered with metabolic enzyme
inducers or inhibitors, acid-suppressive drugs, or traditional Chinese and Western medicines. It can also adjust dosages in
conjunction with genomics, predict PK processes in special populations (such as patients with liver or kidney dysfunction, pediatric
patients), evaluate the efficacy and safety of drugs, and extrapolate PK predictions from animal models to humans.
KEYWORDS physiologically-based pharmacokinetic model; EGFR-TKI; precision treatment; drug interaction; non-small cell
lung cancer
表皮生长因子受体(epidermal growth factor receptor, EGFR)基因突变是非小细胞肺癌(non-small cell lung
cancer,NSCLC)常见的致癌驱动突变,EGFR 突变会显
Δ 基金项目 重 庆 市 自 然 科 学 基 金 面 上 项 目(No. CSTB2022- 著增强肿瘤细胞的生长和分裂能力,加速肿瘤发展 。
[1]
NSCQ-MSX0987);重庆医科大学附属第二医院“宽仁英才”项目 EGFR-酪氨酸激酶抑制剂(EGFR-tyrosine kinase inhibi‐
* 第一作者 硕 士 研 究 生 。 研 究 方 向 :临 床 药 学 。 E-mail:
tor,EGFR-TKI)是一类小分子肿瘤靶向治疗药物,通过
2022120930@stu.cqmu.edu.cn
# 通信作者 主任药师,博士生导师,博士。研究方向:临床药学、 与内源性配体竞争性结合EGFR受体,抑制酪氨酸激酶
药物早期临床研究。E-mail:303671@cqmu.edu.cn 活化,从而阻断 EGFR 信号通路,抑制肿瘤细胞增殖和
中国药房 2025年第36卷第8期 China Pharmacy 2025 Vol. 36 No. 8 · 1013 ·