当前位置: X-MOL 学术Open Biol. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Phenotypes from cell-free DNA.
Open Biology ( IF 5.8 ) Pub Date : 2020-09-02 , DOI: 10.1098/rsob.200119
Alexis Zukowski 1 , Satyanarayan Rao 1 , Srinivas Ramachandran 1
Affiliation  

Cell-free DNA (cfDNA) has the potential to enable non-invasive detection of disease states and progression. Beyond its sequence, cfDNA also represents the nucleosomal landscape of cell(s)-of-origin and captures the dynamics of the epigenome. In this review, we highlight the emergence of cfDNA epigenomic methods that assess disease beyond the scope of mutant tumour genotyping. Detection of tumour mutations is the gold standard for sequencing methods in clinical oncology. However, limitations inherent to mutation targeting in cfDNA, and the possibilities of uncovering molecular mechanisms underlying disease, have made epigenomics of cfDNA an exciting alternative. We discuss the epigenomic information revealed by cfDNA, and how epigenomic methods exploit cfDNA to detect and characterize cancer. Future applications of cfDNA epigenomic methods to act complementarily and orthogonally to current clinical practices has the potential to transform cancer management and improve cancer patient outcomes.



中文翻译:

来自无细胞 DNA 的表型。

无细胞 DNA (cfDNA) 有可能实现对疾病状态和进展的非侵入性检测。除了其序列之外,cfDNA 还代表细胞起源的核小体景观,并捕捉表观基因组的动态。在这篇综述中,我们强调了评估超出突变肿瘤基因分型范围的疾病的 cfDNA 表观基因组方法的出现。检测肿瘤突变是临床肿瘤学中测序方法的金标准。然而,cfDNA 中突变靶向所固有的局限性,以及揭示疾病潜在分子机制的可能性,使 cfDNA 的表观基因组学成为一个令人兴奋的选择。我们讨论了 cfDNA 揭示的表观基因组信息,以及表观基因组方法如何利用 cfDNA 来检测和表征癌症。

更新日期:2020-09-02
down
wechat
bug