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肿瘤学中的精准医学:利用虚拟临床试验确定肥胖癌症患者群体的伊马替尼给药剂量。

Precision Medicine in Oncology: Imatinib Dosing in the Obese Cancer Population Using Virtual Clinical Trials.

作者信息

Burhanuddin Khairulanwar, Mohammed Afzal, Burhanuddin Nurul Afiqah, Badhan Raj K S

机构信息

National Pharmaceutical Regulatory Agency, Ministry of Health Malaysia, Petaling Jaya, Malaysia.

School of Pharmacy, College of Health and Life Science, Aston University, Birmingham, UK.

出版信息

CPT Pharmacometrics Syst Pharmacol. 2025 Jun;14(6):1050-1064. doi: 10.1002/psp4.70018. Epub 2025 Mar 27.

Abstract

This study investigates the impact of obesity on imatinib pharmacokinetics in cancer patients by utilizing physiologically based pharmacokinetic modeling (PBPK) and virtual clinical trial approaches and evaluates the effectiveness of therapeutic drug monitoring (TDM)-guided dose adjustment to recover the imatinib trough concentration (C) into the target concentration. PBPK models were validated against clinical data from lean, overweight, and obese cancer populations. Simulations revealed significant physiological differences across body-mass-index categories, including higher body surface area, liver weight, and cardiac output in obese individuals, coupled with lower CYP3A4 enzyme activity and hematocrit levels, which translated into pharmacokinetic differences. Obese patients exhibited significantly lower imatinib maximum concentration and area-under-the-curve values. C levels, a key determinant of therapeutic response, were consistently lower in the obese cohort, with a greater proportion of individuals falling below the subtherapeutic threshold (< 750 ng/mL); nevertheless, the differences are not statistically significant. TDM-guided dose adjustments improved C levels across BMI groups. For patients with C between 450 and 750 ng/mL, dose increases of 1.5-2.0 times effectively restored levels to the target range (750-1500 ng/mL). However, individuals with C < 450 ng/mL often failed to achieve therapeutic levels, suggesting limited benefit from further dose escalation and a need for alternative therapies. This study underscores the importance of PBPK modeling and TDM in tailoring imatinib therapy for obese cancer patients by addressing physiological differences and optimizing dosing strategies for better outcomes.

摘要

本研究通过运用基于生理的药代动力学建模(PBPK)和虚拟临床试验方法,调查肥胖对癌症患者伊马替尼药代动力学的影响,并评估治疗药物监测(TDM)指导的剂量调整将伊马替尼谷浓度(C)恢复到目标浓度的有效性。PBPK模型根据来自消瘦、超重和肥胖癌症人群的临床数据进行了验证。模拟结果显示,不同体重指数类别之间存在显著的生理差异,包括肥胖个体的体表面积、肝脏重量和心输出量较高,同时CYP3A4酶活性和血细胞比容水平较低,这转化为药代动力学差异。肥胖患者的伊马替尼最大浓度和曲线下面积值显著较低。C水平是治疗反应的关键决定因素,在肥胖队列中一直较低,有更大比例的个体低于治疗阈值(<750 ng/mL);然而,差异无统计学意义。TDM指导的剂量调整提高了各BMI组的C水平。对于C在450至750 ng/mL之间的患者,剂量增加1.5至2.0倍可有效将水平恢复到目标范围(750至1500 ng/mL)。然而,C<450 ng/mL的个体往往无法达到治疗水平,这表明进一步增加剂量的益处有限,需要替代疗法。本研究强调了PBPK建模和TDM在通过解决生理差异和优化给药策略以获得更好结果来为肥胖癌症患者量身定制伊马替尼治疗方面的重要性。

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