分析无细胞肿瘤DNA时的注意事项和质量控制。

Q1 Biochemistry, Genetics and Molecular Biology Biomolecular Detection and Quantification Pub Date : 2019-03-01 DOI:10.1016/j.bdq.2018.12.003
Gustav Johansson , Daniel Andersson , Stefan Filges , Junrui Li , Andreas Muth , Tony E. Godfrey , Anders Ståhlberg
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引用次数: 73

摘要

循环无细胞肿瘤DNA(ctDNA)是癌症中一种很有前途的生物标志物。超灵敏技术能够检测低(<0.1%)突变等位基因频率,这是充分利用ctDNA在癌症诊断中的潜力的先决条件。此外,整个液体活检工作流程需要仔细优化,以实现可靠的ctDNA分析。在这里,我们讨论了血浆中ctDNA检测的重要考虑因素。我们展示了如何使用简单的定量PCR分析轻松评估每个实验步骤,包括检测细胞DNA污染和PCR抑制。此外,ctDNA测定性能也被证明受到DNA片段和靶序列的影响。最后,我们证明了定量PCR有助于估计所需的测序深度,并在整个工作流程中监测DNA损失。质量控制分析的使用能够开发稳健和标准化的工作流程,促进ctDNA分析在临床常规中的实施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Considerations and quality controls when analyzing cell-free tumor DNA

Circulating cell-free tumor DNA (ctDNA) is a promising biomarker in cancer. Ultrasensitive technologies enable detection of low (< 0.1%) mutant allele frequencies, a pre-requisite to fully utilize the potential of ctDNA in cancer diagnostics. In addition, the entire liquid biopsy workflow needs to be carefully optimized to enable reliable ctDNA analysis. Here, we discuss important considerations for ctDNA detection in plasma. We show how each experimental step can easily be evaluated using simple quantitative PCR assays, including detection of cellular DNA contamination and PCR inhibition. Furthermore, ctDNA assay performance is also demonstrated to be affected by both DNA fragmentation and target sequence. Finally, we show that quantitative PCR is useful to estimate the required sequencing depth and to monitor DNA losses throughout the workflow. The use of quality control assays enables the development of robust and standardized workflows that facilitate the implementation of ctDNA analysis into clinical routine.

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来源期刊
Biomolecular Detection and Quantification
Biomolecular Detection and Quantification Biochemistry, Genetics and Molecular Biology-Biochemistry
CiteScore
14.20
自引率
0.00%
发文量
0
审稿时长
8 weeks
期刊最新文献
Publisher's Note Establishing essential quality criteria for the validation of circular RNAs as biomarkers qPCR data analysis: Better results through iconoclasm Considerations and quality controls when analyzing cell-free tumor DNA Next-generation sequencing of HIV-1 single genome amplicons
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