Genome-wide germline correlates of the epigenetic landscape of prostate cancer.
Kathleen E HoulahanYu-Jia ShiahAlexander GusevJiapei YuanMusaddeque AhmedAnamay ShettySusmita G RamanandCindy Q YaoConnor BellEdward O'ConnorVincent HuangMichael FraserLawrence E HeislerJulie LivingstoneTakafumi N YamaguchiAlexandre RouetteAdrien FoucalShadrielle Melijah G EspirituAnkit SinhaMichelle SamLee TimmsJeremy JohnsAda WongAlex MurisonMichèle OrainValérie PicardHélène HovingtonAlain BergeronLouis LacombeMathieu LupienYves FradetBernard TêtuJohn D McPhersonBogdan PasaniucThomas KislingerMatthew Chin Heng ChuaMark M PomerantzTheodorus H Van der KwastMatthew L FreedmanRam S ManiHousheng H HeRobert G BristowPaul C BoutrosPublished in: Nature medicine (2019)
Oncogenesis is driven by germline, environmental and stochastic factors. It is unknown how these interact to produce the molecular phenotypes of tumors. We therefore quantified the influence of germline polymorphisms on the somatic epigenome of 589 localized prostate tumors. Predisposition risk loci influence a tumor's epigenome, uncovering a mechanism for cancer susceptibility. We identified and validated 1,178 loci associated with altered methylation in tumoral but not nonmalignant tissue. These tumor methylation quantitative trait loci influence chromatin structure, as well as RNA and protein abundance. One prominent tumor methylation quantitative trait locus is associated with AKT1 expression and is predictive of relapse after definitive local therapy in both discovery and validation cohorts. These data reveal intricate crosstalk between the germ line and the epigenome of primary tumors, which may help identify germline biomarkers of aggressive disease to aid patient triage and optimize the use of more invasive or expensive diagnostic assays.
Keyphrases
- genome wide
- dna methylation
- prostate cancer
- copy number
- gene expression
- dna repair
- radical prostatectomy
- emergency department
- poor prognosis
- cell proliferation
- small molecule
- stem cells
- electronic health record
- squamous cell carcinoma
- binding protein
- big data
- young adults
- mass spectrometry
- climate change
- long non coding rna
- wastewater treatment
- artificial intelligence
- amino acid
- single molecule
- rectal cancer
- bone marrow
- nucleic acid
- smoking cessation
- data analysis
- risk assessment
- locally advanced
- life cycle