ROBIN:一种基于纳米孔的统一测序分析方法,集成了实时、术中甲基组分类和次日脑肿瘤综合分子图谱分析,用于超快速肿瘤诊断

Simon Deacon, Inswasti Cahyani, Nadine Holmes, Graeme Fox, Rory Munro, Satrio Wibowo, Thomas Murray, Hannah Mason, Mark Housley, Daniel Martin, Abid Sharif, Areeba Patel, Robert Goldspring, Sebastian Brandner, Felix Sahm, Stuart Smith, Simon Paine, Matthew Loose
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摘要

背景我们研究脑肿瘤生物学的技术能力不断进步,基因组测序在常规诊断决策中的应用也日益广泛。目前,脑肿瘤根据其表观遗传学特征进行常规分类,从而导致了诊断途径的范式转变。使用纳米孔测序技术可快速进行此类检测,术中即可提供结果。这些信息大大提高了涂片诊断的准确性,可帮助外科医生在手术风险与可能获益之间取得平衡,从而量身定制治疗方案。然而,全面的综合诊断可能需要后续的附加检测来检测致病性体细胞突变和结构变异,从而推迟最终诊断的时间。方法在此,我们介绍基于 PromethION 纳米孔测序技术的工具 ROBIN,它可以在单次检测中提供术中实时甲基组分类和次日综合分子图谱分析。ROBIN 独特地集成了三种甲基化分类器,以提高术中诊断性能。研究结果我们在 50 个前瞻性术中病例上展示了分类器的性能,诊断周转时间不到 2 小时,并在测序后几分钟内生成可靠的肿瘤分类。此外,ROBIN 还能实时检测单核苷酸变异 (SNV)、拷贝数变异 (CNV) 和结构变异 (SV),并能在 24 小时内提供完整的综合诊断信息。在 90% 的前瞻性病例中,分类器的表现与最终综合诊断结果一致。释义纳米孔测序可大大缩短标准诊断检测(包括测序)的周转时间,还能可靠地提供临床上可操作的术中肿瘤分类。资金来源让-尚克斯基金会、大不列颠及爱尔兰病理学会、英国神经病理学会和惠康基金会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ROBIN: A unified nanopore-based sequencing assay integrating real-time, intraoperative methylome classification and next-day comprehensive molecular brain tumour profiling for ultra-rapid tumour diagnostics
Background Advances in our technological capacity to interrogate brain tumour biology has led to the ever-increasing use of genomic sequencing in routine diagnostic decision making. Presently, brain tumours are routinely classified based on their epigenetic signatures, leading to a paradigm shift in diagnostic pathways. Such testing can be performed so rapidly using nanopore sequencing that results can be provided intraoperatively. This information greatly improves upon the fidelity of smear diagnosis and can help surgeons tailor their approach, balancing the risks of surgery with the likely benefit. Nevertheless, full integrated diagnosis may require subsequent additional assays to detect pathognomonic somatic mutations and structural variants, thereby delaying the time to final diagnosis. Methods Here, we present ROBIN, a tool based upon PromethION nanopore sequencing technology that can provide both real-time, intraoperative methylome classification and next-day comprehensive molecular profiling within a single assay. ROBIN uniquely integrates three methylation classifiers to improve diagnostic performance in the intraoperative setting. Findings We demonstrate classifier performance on 50 prospective intraoperative cases, achieving a diagnostic turnaround time under 2 hours and generating robust tumour classifications within minutes of sequencing. Furthermore, ROBIN can detect single nucleotide variants (SNVs), copy number variants (CNVs) and structural variants (SVs) in real-time, and is able to inform a complete integrated diagnosis within 24 hours. Classifier performance demonstrated concordance with final integrated diagnosis in 90% of prospective cases. Interpretation Nanopore sequencing can greatly improve upon the turnaround times for standard of care diagnostic testing, including sequencing, and is furthermore able to reliably provide clinically actionable intraoperative tumour classification. Funding The Jean-Shanks Foundation, the Pathological Society of Great Britain and Ireland, the British Neuropathological Society, and the Wellcome Trust.
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