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循环肿瘤DNA:药代动力学方法的机遇与挑战

Circulating tumor DNA: Opportunities and challenges for pharmacometric approaches.

作者信息

Ribba Benjamin, Roller Andreas, Helms Hans-Joachim, Stern Martin, Bleul Conrad

机构信息

Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffman-La Roche Ltd, Basel, Switzerland.

出版信息

Front Pharmacol. 2023 Mar 8;13:1058220. doi: 10.3389/fphar.2022.1058220. eCollection 2022.

DOI:10.3389/fphar.2022.1058220
PMID:36968790
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10030934/
Abstract

To support further development of model-informed drug development approaches leveraging circulating tumor DNA (ctDNA), we performed an exploratory analysis of the relationships between treatment-induced changes to ctDNA levels, clinical response and tumor size dynamics in patients with cancer treated with checkpoint inhibitors and targeted therapies. This analysis highlights opportunities for pharmacometrics approaches such as for optimizing sampling design strategies. It also highlights challenges related to the nature of the data and associated variability overall emphasizing the importance of mechanistic modeling studies of the underlying biology of ctDNA processes such as shedding, release and clearance and their relationships with tumor size dynamic and treatment effects.

摘要

为支持利用循环肿瘤DNA(ctDNA)的模型 informed 药物开发方法的进一步发展,我们对接受检查点抑制剂和靶向治疗的癌症患者中ctDNA水平的治疗诱导变化、临床反应和肿瘤大小动态之间的关系进行了探索性分析。该分析突出了药物计量学方法的机会,例如优化采样设计策略。它还突出了与数据性质和相关变异性相关的挑战,总体上强调了对ctDNA过程(如脱落、释放和清除)的基础生物学及其与肿瘤大小动态和治疗效果的关系进行机制建模研究的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b6/10030934/d13e076e51e6/fphar-13-1058220-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b6/10030934/620b9ad09833/fphar-13-1058220-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b6/10030934/d13e076e51e6/fphar-13-1058220-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b6/10030934/620b9ad09833/fphar-13-1058220-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/80b6/10030934/d13e076e51e6/fphar-13-1058220-g002.jpg

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ctDNA Predicts Overall Survival in Patients With NSCLC Treated With PD-L1 Blockade or With Chemotherapy.循环肿瘤DNA预测接受PD-L1阻断或化疗的非小细胞肺癌患者的总生存期。
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