无细胞核酸片段组学:了解细胞表观基因组的非侵入性窗口

IF 5 2区 医学 Q2 Medicine
Ahmad Salman Sirajee, Debajyoti Kabiraj, Subhajyoti De
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引用次数: 0

摘要

对血液和其他体液中的无细胞核酸(如无细胞 DNA 或 cfDNA)进行临床基因组分析,开创了针对健康状况和癌症等疾病的无创诊断和治疗监测策略的新时代。对 cfDNA 的基因组分析不仅能确定与疾病相关的突变,而且新的研究结果表明,cfDNA 的结构、拓扑和片段特征揭示了源组织的位置、其表观基因组和其他临床相关特征的重要信息,从而导致了片段组学领域的蓬勃发展。该领域的计算和基因组学方法发展迅速,可用于对健康状况和疾病进行大规模研究,从而带来基础性的机理发现和转化应用。最近的几项研究表明,cfDNA 片段组学技术具有临床实用性,可以有效地进行早期疾病诊断、确定治疗结果,并以无创方式对患者进行无风险的连续监测。在本文中,我们将概述计算基因组学方法和分析策略的最新发展,以及 cfNA 片段组学的新见解。最后,我们强调了当前的挑战和机遇。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Cell-free nucleic acid fragmentomics: A non-invasive window into cellular epigenomes

Cell-free nucleic acid fragmentomics: A non-invasive window into cellular epigenomes

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.

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来源期刊
CiteScore
8.40
自引率
2.00%
发文量
314
审稿时长
54 days
期刊介绍: Translational Oncology publishes the results of novel research investigations which bridge the laboratory and clinical settings including risk assessment, cellular and molecular characterization, prevention, detection, diagnosis and treatment of human cancers with the overall goal of improving the clinical care of oncology patients. Translational Oncology will publish laboratory studies of novel therapeutic interventions as well as clinical trials which evaluate new treatment paradigms for cancer. Peer reviewed manuscript types include Original Reports, Reviews and Editorials.
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