多模态游离DNA全基因组TAPS检测灵敏且能揭示特定癌症信号。

Multimodal cell-free DNA whole-genome TAPS is sensitive and reveals specific cancer signals.

作者信息

Vavoulis Dimitrios V, Cutts Anthony, Thota Nishita, Brown Jordan, Sugar Robert, Rueda Antonio, Ardalan Arman, Howard Kieran, Matos Santo Flavia, Sannasiddappa Thippesh, Miller Bronwen, Ash Stephen, Liu Yibin, Song Chun-Xiao, Nicholson Brian D, Dreau Helene, Tregidgo Carolyn, Schuh Anna

机构信息

Oxford Molecular Diagnostics Centre, Department of Oncology, University of Oxford, Oxford, UK.

Biomedical Research Centre, Centre for Human Genetics, University of Oxford, Oxford, UK.

出版信息

Nat Commun. 2025 Jan 8;16(1):430. doi: 10.1038/s41467-024-55428-y.

Abstract

The analysis of circulating tumour DNA (ctDNA) through minimally invasive liquid biopsies is promising for early multi-cancer detection and monitoring minimal residual disease. Most existing methods focus on targeted deep sequencing, but few integrate multiple data modalities. Here, we develop a methodology for ctDNA detection using deep (80x) whole-genome TET-Assisted Pyridine Borane Sequencing (TAPS), a less destructive approach than bisulphite sequencing, which permits the simultaneous analysis of genomic and methylomic data. We conduct a diagnostic accuracy study across multiple cancer types in symptomatic patients, achieving 94.9% sensitivity and 88.8% specificity. Matched tumour biopsies are used for validation, not for guiding the analysis, imitating an early detection scenario. Furthermore, in silico validation demonstrates strong discrimination (86% AUC) at ctDNA fractions as low as 0.7%. Additionally, we successfully track tumour burden and ctDNA shedding from precancerous lesions post-treatment without requiring matched tumour biopsies. This pipeline is ready for further clinical evaluation to extend cancer screening and improve patient triage and monitoring.

摘要

通过微创液体活检分析循环肿瘤DNA(ctDNA),对于早期多癌检测和监测微小残留病很有前景。大多数现有方法侧重于靶向深度测序,但很少整合多种数据模式。在此,我们开发了一种使用深度(80倍)全基因组TET辅助吡啶硼烷测序(TAPS)进行ctDNA检测的方法,这是一种比亚硫酸氢盐测序破坏性更小的方法,它允许同时分析基因组和甲基化组数据。我们对有症状患者的多种癌症类型进行了诊断准确性研究,灵敏度达到94.9%,特异性达到88.8%。匹配的肿瘤活检用于验证,而非指导分析,模拟早期检测情况。此外,计算机模拟验证表明,在低至0.7%的ctDNA分数下具有很强的区分能力(曲线下面积为86%)。此外,我们成功地跟踪了癌前病变治疗后的肿瘤负荷和ctDNA释放,无需匹配的肿瘤活检。该流程已准备好进行进一步的临床评估,以扩展癌症筛查并改善患者分类和监测。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c789/11711490/bd2721f47e55/41467_2024_55428_Fig1_HTML.jpg

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