5-羟甲基胞嘧啶
DNA甲基化
癌症
生物
前列腺
医学
生理学
基因
内科学
遗传学
基因表达
作者
Martin Sjöström,Shuang G. Zhao,Samuel Levy,Meng Zhang,Yuhong Ning,Raunak Shrestha,Arian Lundberg,Cameron Herberts,Adam Foye,Rahul Aggarwal,Junjie T. Hua,Haolong Li,Anna Bergamaschi,Corinne Maurice‐Dror,Ashutosh Maheshwari,Sujun Chen,Sarah W.S. Ng,Wenbin Ye,Jessica Petricca,Michael Fraser
出处
期刊:Cancer Research
[American Association for Cancer Research]
日期:2022-10-17
卷期号:82 (21): 3888-3902
被引量:47
标识
DOI:10.1158/0008-5472.can-22-1123
摘要
Analysis of DNA methylation is a valuable tool to understand disease progression and is increasingly being used to create diagnostic and prognostic clinical biomarkers. While conversion of cytosine to 5-methylcytosine (5mC) commonly results in transcriptional repression, further conversion to 5-hydroxymethylcytosine (5hmC) is associated with transcriptional activation. Here we perform the first study integrating whole-genome 5hmC with DNA, 5mC, and transcriptome sequencing in clinical samples of benign, localized, and advanced prostate cancer. 5hmC is shown to mark activation of cancer drivers and downstream targets. Furthermore, 5hmC sequencing revealed profoundly altered cell states throughout the disease course, characterized by increased proliferation, oncogenic signaling, dedifferentiation, and lineage plasticity to neuroendocrine and gastrointestinal lineages. Finally, 5hmC sequencing of cell-free DNA from patients with metastatic disease proved useful as a prognostic biomarker able to identify an aggressive subtype of prostate cancer using the genes TOP2A and EZH2, previously only detectable by transcriptomic analysis of solid tumor biopsies. Overall, these findings reveal that 5hmC marks epigenomic activation in prostate cancer and identify hallmarks of prostate cancer progression with potential as biomarkers of aggressive disease.In prostate cancer, 5-hydroxymethylcytosine delineates oncogene activation and stage-specific cell states and can be analyzed in liquid biopsies to detect cancer phenotypes. See related article by Wu and Attard, p. 3880.
科研通智能强力驱动
Strongly Powered by AbleSci AI