Sirajee Ahmad Salman, Kabiraj Debajyoti, De Subhajyoti
Department of Pathology and Laboratory Medicine, Rutgers Cancer Institute, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA.
Department of Pathology and Laboratory Medicine, Rutgers Cancer Institute, Rutgers, The State University of New Jersey, New Brunswick, NJ 08901, USA.
Transl Oncol. 2024 Nov;49:102085. doi: 10.1016/j.tranon.2024.102085. Epub 2024 Aug 22.
Clinical genomic profiling of cell-free nucleic acids (e.g. cell-free DNA or cfDNA) from blood and other body fluids has ushered in a new era in non-invasive diagnostics and treatment monitoring strategies for health conditions and diseases such as cancer. Genomic analysis of cfDNAs not only identifies disease-associated mutations, but emerging findings suggest that structural, topological, and fragmentation characteristics of cfDNAs reveal crucial information about the location of source tissues, their epigenomes, and other clinically relevant characteristics, leading to the burgeoning field of fragmentomics. The field has seen rapid developments in computational and genomics methodologies for conducting large-scale studies on health conditions and diseases - that have led to fundamental, mechanistic discoveries as well as translational applications. Several recent studies have shown the clinical utilities of the cfDNA fragmentomics technique which has the potential to be effective for early disease diagnosis, determining treatment outcomes, and risk-free continuous patient monitoring in a non-invasive manner. In this article, we outline recent developments in computational genomic methodologies and analysis strategies, as well as the emerging insights from cfNA fragmentomics. We conclude by highlighting the current challenges and opportunities.
对来自血液和其他体液的游离核酸(如游离DNA或cfDNA)进行临床基因组分析,为癌症等健康状况和疾病的非侵入性诊断及治疗监测策略开创了一个新时代。对cfDNA的基因组分析不仅能识别与疾病相关的突变,而且新出现的研究结果表明,cfDNA的结构、拓扑和片段化特征揭示了有关源组织位置、其表观基因组以及其他临床相关特征的关键信息,从而催生了片段组学这一新兴领域。该领域在用于对健康状况和疾病进行大规模研究的计算和基因组方法方面取得了快速发展,这些发展带来了基础的、机制性的发现以及转化应用。最近的几项研究显示了cfDNA片段组学技术的临床效用,该技术有可能以非侵入性方式有效地用于早期疾病诊断、确定治疗结果以及对患者进行无风险的持续监测。在本文中,我们概述了计算基因组方法和分析策略的最新进展,以及cfNA片段组学的新见解。我们通过强调当前的挑战和机遇来得出结论。