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影响游离 DNA 测量结果的分析前变量。

Preanalytical variables that affect the outcome of cell-free DNA measurements.

机构信息

Institute for Laboratory Medicine, German Heart Centre, Technical University Munich, Munich, Germany.

出版信息

Crit Rev Clin Lab Sci. 2020 Nov;57(7):484-507. doi: 10.1080/10408363.2020.1750558. Epub 2020 May 12.

DOI:10.1080/10408363.2020.1750558
PMID:32393081
Abstract

Fragments of cell-free DNA (cfDNA) in human body fluids often carry disease-specific alterations and are now widely recognized as ideal biomarkers for the detection and monitoring of genomic disorders, especially cancer, that are normally difficult to examine noninvasively. However, the conversion of promising research findings into tools useful in routine clinical testing of cancer has been a slow-moving process. A major reason is that the diagnostic sensitivity and specificity of cfDNA-based clinical assays are negatively impacted by a combination of suboptimal and inter-institutional differences in preanalytical procedures. The most prominent factors include: (i) a poor understanding of the biological factors that determine the characteristics of the cfDNA population in a biospecimen prior to collection, (ii) inattention to how cfDNA with different structures and physical properties are affected differently by a given preanalytical step, and (iii) the sheer number of possible conditions that can be selected from for each preanalytical step along with a continually expanding menu of commercial products that often show varying degrees of bias and efficiency. The convergence of these variables makes it difficult for research groups and institutions to reach a consensus on optimal preanalytical procedures and a challenging task to establish widely applied standards, which ultimately hamper the development of cfDNA assays that are fit for broad clinical implementation. In this review, we follow a systematic approach to explore the most confounding preanalytical factors that affect the outcome of cfDNA measurements.

摘要

人体体液中的无细胞游离 DNA(cfDNA)片段通常携带疾病特异性改变,现在被广泛认为是检测和监测基因组疾病(尤其是癌症)的理想生物标志物,这些疾病通常很难进行非侵入性检查。然而,将有前途的研究发现转化为癌症常规临床检测中有用的工具一直是一个缓慢的过程。主要原因是 cfDNA 临床检测的诊断灵敏度和特异性受到分析前程序中不理想和机构间差异的综合影响。最突出的因素包括:(i)对收集前生物样本中 cfDNA 群体特征决定因素的生物学认识不足,(ii)对不同结构和物理特性的 cfDNA 如何受到特定分析前步骤的不同影响缺乏关注,以及(iii)每个分析前步骤都可以从众多可能的条件中进行选择,再加上不断扩展的商业产品菜单,这些产品通常表现出不同程度的偏差和效率。这些变量的融合使得研究小组和机构难以就最佳分析前程序达成共识,并且建立广泛应用的标准也是一项具有挑战性的任务,这最终阻碍了适合广泛临床应用的 cfDNA 检测方法的发展。在这篇综述中,我们采用系统的方法来探讨影响 cfDNA 测量结果的最具干扰性的分析前因素。

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