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治疗过程中循环肿瘤生物标志物动力学分析方法的批判性回顾。

A critical review of the analytical approaches for circulating tumor biomarker kinetics during treatment.

机构信息

Service d'Oncologie Médicale, Investigational Center for Treatments in Oncology and Hematology of Lyon, Centre Hospitalier Lyon-Sud, Hospices Civils de Lyon, Pierre-Bénite, France.

出版信息

Ann Oncol. 2014 Jan;25(1):41-56. doi: 10.1093/annonc/mdt382.

Abstract

Changes in serum tumor biomarkers may indicate treatment efficacy. Traditional tumor markers may soon be replaced by novel serum biomarkers, such as circulating tumor cells (CTCs) or circulating tumor nucleic acids. Given their promising predictive values, studies of their kinetics are warranted. Many methodologies meant to assess kinetics of traditional marker kinetics during anticancer treatment have been reported. Here, we review the methodologies, the advantages and the limitations of the analytical approaches reported in the literature. Strategies based on a single time point were first used (baseline value, normalization, nadir, threshold at a time t), followed by approaches based on two or more time points [half-life (HL), percentage decrease, time-to-events…]. Heterogeneities in methodologies and lack of consideration of inter- and intra-individual variability may account for the inconsistencies and the poor utility in routine. More recently, strategies based on a population kinetics approach and mathematical modeling have been reported. The identification of equations describing individual kinetic profiles of biomarkers may be an alternative strategy despite its complexity and higher number of necessary measurements. Validation studies are required. Efforts should be made to standardize biomarker kinetic analysis methodologies to ensure the optimized development of novel serum biomarkers and avoid the pitfalls of traditional markers.

摘要

血清肿瘤标志物的变化可能提示治疗效果。传统的肿瘤标志物可能很快就会被新型的血清标志物所取代,如循环肿瘤细胞(CTC)或循环肿瘤核酸。鉴于它们具有很有前途的预测价值,对其动力学的研究是合理的。已经报道了许多旨在评估抗癌治疗期间传统标志物动力学的动力学的方法学。在这里,我们综述了文献中报道的分析方法的方法学、优点和局限性。首先使用基于单个时间点的策略(基线值、归一化、最低点、在 t 时间的阈值),然后使用基于两个或更多时间点的策略[半衰期(HL)、百分比下降、时间到事件……]。方法学的异质性和未考虑个体内和个体间的变异性可能是导致不一致和常规应用效果不佳的原因。最近,已经报道了基于群体动力学方法和数学建模的策略。尽管其复杂性和所需测量的数量较多,但确定描述生物标志物个体动力学特征的方程可能是一种替代策略。需要验证研究。应努力标准化生物标志物动力学分析方法学,以确保新型血清生物标志物的优化开发,并避免传统标志物的陷阱。

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