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基于 MSK-ACCESS 的配对正常测序提高了游离 DNA 中临床高敏肿瘤突变分析的特异性。

Enhanced specificity of clinical high-sensitivity tumor mutation profiling in cell-free DNA via paired normal sequencing using MSK-ACCESS.

机构信息

Department of Pathology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

Kravis Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York, NY, USA.

出版信息

Nat Commun. 2021 Jun 18;12(1):3770. doi: 10.1038/s41467-021-24109-5.

Abstract

Circulating cell-free DNA from blood plasma of cancer patients can be used to non-invasively interrogate somatic tumor alterations. Here we develop MSK-ACCESS (Memorial Sloan Kettering - Analysis of Circulating cfDNA to Examine Somatic Status), an NGS assay for detection of very low frequency somatic alterations in 129 genes. Analytical validation demonstrated 92% sensitivity in de-novo mutation calling down to 0.5% allele frequency and 99% for a priori mutation profiling. To evaluate the performance of MSK-ACCESS, we report results from 681 prospective blood samples that underwent clinical analysis to guide patient management. Somatic alterations are detected in 73% of the samples, 56% of which have clinically actionable alterations. The utilization of matched normal sequencing allows retention of somatic alterations while removing over 10,000 germline and clonal hematopoiesis variants. Our experience illustrates the importance of analyzing matched normal samples when interpreting cfDNA results and highlights the importance of cfDNA as a genomic profiling source for cancer patients.

摘要

从癌症患者血浆中的循环无细胞 DNA 可以非侵入性地检测体细胞肿瘤的改变。在这里,我们开发了 MSK-ACCESS(纪念斯隆凯特琳 - 分析循环 cfDNA 以检测体细胞状态),这是一种用于检测 129 个基因中极低频率体细胞改变的 NGS 检测方法。分析验证表明,在等位基因频率低至 0.5%时,新发突变的检测灵敏度为 92%,而预先存在的突变分析则为 99%。为了评估 MSK-ACCESS 的性能,我们报告了 681 份前瞻性血液样本的结果,这些样本进行了临床分析以指导患者管理。在 73%的样本中检测到体细胞改变,其中 56%具有临床可操作性改变。匹配正常测序的利用允许保留体细胞改变,同时去除超过 10000 个种系和克隆性造血变体。我们的经验说明了在解释 cfDNA 结果时分析匹配正常样本的重要性,并强调了 cfDNA 作为癌症患者基因组分析来源的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3a27/8213710/d07e8c9e6f0e/41467_2021_24109_Fig1_HTML.jpg

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