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基于循环 microRNA 的生物标志物在医学决策中的开发:善意提醒哪些事不该做。

Development of circulating microRNA-based biomarkers for medical decision-making: a friendly reminder of what should NOT be done.

机构信息

Minerva Foundation Institute for Medical Research, Helsinki, Finland.

Department of Clinical Chemistry, University of Helsinki and Helsinki University Hospital, Helsinki, Finland.

出版信息

Crit Rev Clin Lab Sci. 2023 Mar;60(2):141-152. doi: 10.1080/10408363.2022.2128030. Epub 2022 Nov 2.

Abstract

Circulating cell-free microRNAs (miRNAs) represent a major reservoir for biomarker discovery. Unfortunately, their implementation in clinical practice is limited due to a profound lack of reproducibility. The great technical variability linked to major pre-analytical and analytical caveats makes the interpretation of circulating cell-free miRNA data challenging and leads to inconsistent findings. Additional efforts directed to standardization are fundamental. Several well-established protocols are currently used by independent groups worldwide. Nonetheless, there are some specific aspects in specimen collection and processing, sample handling, miRNA quantification, and data analysis that should be considered to ensure reproducibility of results. Here, we have addressed this challenge using an alternative approach. We have highlighted and discussed common pitfalls that negatively impact the robustness of circulating miRNA quantification and their application for clinical decision-making. Furthermore, we provide a checklist usable by investigators to facilitate and ensure the control of the whole miRNA quantification and analytical process. We expect that these recommendations improve the reproducibility of findings, and ultimately, facilitate the incorporation of circulating miRNA profiles into clinical practice as the next generation of disease biomarkers.

摘要

循环无细胞 microRNAs(miRNAs)是生物标志物发现的主要来源。不幸的是,由于缺乏可重复性,它们在临床实践中的应用受到限制。主要的分析前和分析注意事项所带来的巨大技术变异性使得循环无细胞 miRNA 数据的解释具有挑战性,并导致结果不一致。需要进行额外的标准化努力。目前,世界各地的独立小组都在使用一些经过充分验证的方案。尽管如此,在标本采集和处理、样本处理、miRNA 定量和数据分析方面仍有一些具体方面需要考虑,以确保结果的可重复性。在这里,我们使用替代方法解决了这一挑战。我们强调并讨论了影响循环 miRNA 定量稳健性及其在临床决策中的应用的常见陷阱。此外,我们提供了一份研究人员可用的清单,以方便和确保整个 miRNA 定量和分析过程的控制。我们期望这些建议能够提高研究结果的可重复性,并最终促进将循环 miRNA 谱作为下一代疾病生物标志物纳入临床实践。

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