Singlera Genomics (Shanghai) Ltd., No. 500, Furonghua Road, Shanghai, 201203, China.
Clin Epigenetics. 2023 Aug 14;15(1):130. doi: 10.1186/s13148-023-01543-4.
An accurate and reproducible next-generation sequencing platform is essential to identify malignancy-related abnormal DNA methylation changes and translate them into clinical applications including cancer detection, prognosis, and surveillance. However, high-quality DNA methylation sequencing has been challenging because poor sequence diversity of the bisulfite-converted libraries severely impairs sequencing quality and yield. In this study, we tested MGISEQ-2000 Sequencer's capability of DNA methylation sequencing with a published non-invasive pancreatic cancer detection assay, using NovaSeq6000 as the benchmark.
We sequenced a series of synthetic cell-free DNA (cfDNA) samples with different tumor fractions and found MGISEQ-2000 yielded data with similar quality as NovaSeq6000. The methylation levels measured by MGISEQ-2000 demonstrated high consistency with NovaSeq6000. Moreover, MGISEQ-2000 showed a comparable analytic sensitivity with NovaSeq6000, suggesting its potential for clinical detection. As to evaluate the clinical performance of MGISEQ-2000, we sequenced 24 clinical samples and predicted the pathology of the samples with a clinical diagnosis model, PDACatch classifier. The clinical model performance of MGISEQ-2000's data was highly consistent with that of NovaSeq6000's data, with the area under the curve of 1. We also tested the model's robustness with MGISEQ-2000's data when reducing the sequencing depth. The results showed that MGISEQ-2000's data showed matching robustness of the PDACatch classifier with NovaSeq6000's data.
Taken together, MGISEQ-2000 demonstrated similar data quality, consistency of the methylation levels, comparable analytic sensitivity, and matching clinical performance, supporting its application in future non-invasive early cancer detection investigations by detecting distinct methylation patterns of cfDNAs.
准确且可重现的下一代测序平台对于识别与恶性肿瘤相关的异常 DNA 甲基化改变并将其转化为临床应用(包括癌症检测、预后和监测)至关重要。然而,由于亚硫酸氢盐转化文库的序列多样性差,严重影响测序质量和产量,因此高质量的 DNA 甲基化测序一直具有挑战性。在这项研究中,我们使用 NovaSeq6000 作为基准,测试了 MGISEQ-2000 测序仪在已发表的非侵入性胰腺癌检测测定中的 DNA 甲基化测序能力。
我们对一系列具有不同肿瘤分数的合成游离 DNA (cfDNA) 样本进行了测序,发现 MGISEQ-2000 产生的数据与 NovaSeq6000 的质量相似。MGISEQ-2000 测量的甲基化水平与 NovaSeq6000 高度一致。此外,MGISEQ-2000 与 NovaSeq6000 具有可比的分析灵敏度,表明其具有临床检测的潜力。为了评估 MGISEQ-2000 的临床性能,我们对 24 个临床样本进行了测序,并使用临床诊断模型 PDACatch 分类器预测了样本的病理学。MGISEQ-2000 数据的临床模型性能与 NovaSeq6000 数据高度一致,曲线下面积为 1。我们还使用 MGISEQ-2000 的数据测试了模型在降低测序深度时的稳健性。结果表明,MGISEQ-2000 的数据与 NovaSeq6000 的数据具有匹配的 PDACatch 分类器稳健性。
综上所述,MGISEQ-2000 表现出相似的数据质量、甲基化水平的一致性、可比的分析灵敏度和匹配的临床性能,支持其通过检测 cfDNA 中独特的甲基化模式,应用于未来的非侵入性早期癌症检测研究。