Centre for Human Metabonomics, Biochemistry Division, North-West University, Potchefstroom 2520, South Africa.
Centre for Human Metabonomics, Biochemistry Division, North-West University, Potchefstroom 2520, South Africa.
Clin Chim Acta. 2015 Oct 23;450:243-53. doi: 10.1016/j.cca.2015.08.028. Epub 2015 Sep 2.
Since the discovery of cell-free DNA (cfDNA) in human blood, most studies have focused on diagnostic and prognostic uses of these markers for solid tumors. Except for some prenatal tests and BEAMing, cfDNA analysis has not yet been translated to clinical practice and routine application appears distant. This can be attributed to overlapping factors: (i) a lack of knowledge regarding the origin and function of cfDNA, (ii) insufficient molecular characterization, and (iii) the absence of an analytical consensus. In this review, we address the latter determinant and focus specifically on quantitative analysis of cfDNA. While the literature reports limited value for a single quantitative assessment, cfDNA kinetic assessment will be an essential component to qualitative characterization. In order to establish quantitative analysis for accurate kinetic assessments, process optimization and standardization are crucial. This report elucidates the most confounding variables of each preanalytic step that must be considered for optimal analysis.
自人类血液中的无细胞 DNA（cfDNA）被发现以来，大多数研究都集中在这些标志物对实体瘤的诊断和预后用途上。除了一些产前检测和 BEAMing 外，cfDNA 分析尚未转化为临床实践，常规应用似乎还很遥远。这可以归因于重叠因素：（i）缺乏关于 cfDNA 的来源和功能的知识，（ii）分子特征描述不足，以及（iii）缺乏分析共识。在这篇综述中，我们将解决后一个决定因素，并特别关注 cfDNA 的定量分析。虽然文献报道单一定量评估的价值有限，但 cfDNA 的动力学评估将是定性特征的重要组成部分。为了建立定量分析以进行准确的动力学评估，过程优化和标准化至关重要。本报告阐明了每个分析前步骤中最具干扰性的变量，这些变量在优化分析时必须加以考虑。
