The cell-free DNA methylome captures distinctions between localized and metastatic prostate tumors.
Sujun ChenJessica PetriccaWenbin YeJiansheng GuanYong ZengNicholas ChengLinsey GongShu Yi ShenJunjie T HuaMegan CrumbakerMichael FraserStanley K LiuScott V BratmanTheodorus H Van der KwastTrevor J PughAnthony M JoshuaDaniel D De CarvalhoKim N ChiPhillip AwadallaGuoli JiFelix Y FengAlexander W WyattHousheng Hansen HePublished in: Nature communications (2022)
Metastatic prostate cancer remains a major clinical challenge and metastatic lesions are highly heterogeneous and difficult to biopsy. Liquid biopsy provides opportunities to gain insights into the underlying biology. Here, using the highly sensitive enrichment-based sequencing technology, we provide analysis of 60 and 175 plasma DNA methylomes from patients with localized and metastatic prostate cancer, respectively. We show that the cell-free DNA methylome can capture variations beyond the tumor. A global hypermethylation in metastatic samples is observed, coupled with hypomethylation in the pericentromeric regions. Hypermethylation at the promoter of a glucocorticoid receptor gene NR3C1 is associated with a decreased immune signature. The cell-free DNA methylome is reflective of clinical outcomes and can distinguish different disease types with 0.989 prediction accuracy. Finally, we show the ability of predicting copy number alterations from the data, providing opportunities for joint genetic and epigenetic analysis on limited biological samples.
Keyphrases
- prostate cancer
- copy number
- squamous cell carcinoma
- small cell lung cancer
- mitochondrial dna
- genome wide
- dna methylation
- radical prostatectomy
- gene expression
- ultrasound guided
- transcription factor
- circulating tumor
- big data
- mass spectrometry
- electronic health record
- cell free
- binding protein
- molecularly imprinted
- tandem mass spectrometry