Validation of an epigenetic field of susceptibility to detect significant prostate cancer from non-tumor biopsies.


Journal

Clinical epigenetics
ISSN: 1868-7083
Titre abrégé: Clin Epigenetics
Pays: Germany
ID NLM: 101516977

Informations de publication

Date de publication:
28 11 2019
Historique:
received: 17 06 2019
accepted: 22 10 2019
entrez: 30 11 2019
pubmed: 30 11 2019
medline: 28 7 2020
Statut: epublish

Résumé

An epigenetic field of cancer susceptibility exists for prostate cancer (PC) that gives rise to multifocal disease in the peripheral prostate. In previous work, genome-wide DNA methylation profiling identified altered regions in the normal prostate tissue of men with PC. In the current multicenter study, we examined the predictive strength of a panel of loci to detect cancer presence and grade in patients with negative biopsy tissue. Four centers contributed benign prostate biopsy tissues blocks from 129 subjects that were either tumor associated (TA, Grade Group [GG] ≥ 2, n = 77) or non-tumor associated (NTA, n = 52). Biopsies were analyzed using pyrosequencing for DNA methylation encompassing CpG loci near CAV1, EVX1, FGF1, NCR2, PLA2G16, and SPAG4 and methylation differences were detected within all gene regions (p < 0.05). A multiplex regression model for biomarker performance incorporating a gene combination discriminated TA from NTA tissues (area under the curve [AUC] 0.747, p = 0.004). A multiplex model incorporating all the above genes and clinical information (PSA, age) identified patients with GG ≥ 2 PC (AUC 0.815, p < 0.0001). In patients with cancer, increased variation in gene methylation levels occurs between biopsies across the prostate. A widespread epigenetic field defect is utilized to detect GG ≥ 2 PC in patients with histologically negative biopsies. These alterations in non-tumor cells display increased heterogeneity of methylation extent and are spatially distant from tumor foci. These findings have the potential to decrease the need for repeated prostate biopsy.

Sections du résumé

BACKGROUND
An epigenetic field of cancer susceptibility exists for prostate cancer (PC) that gives rise to multifocal disease in the peripheral prostate. In previous work, genome-wide DNA methylation profiling identified altered regions in the normal prostate tissue of men with PC. In the current multicenter study, we examined the predictive strength of a panel of loci to detect cancer presence and grade in patients with negative biopsy tissue.
RESULTS
Four centers contributed benign prostate biopsy tissues blocks from 129 subjects that were either tumor associated (TA, Grade Group [GG] ≥ 2, n = 77) or non-tumor associated (NTA, n = 52). Biopsies were analyzed using pyrosequencing for DNA methylation encompassing CpG loci near CAV1, EVX1, FGF1, NCR2, PLA2G16, and SPAG4 and methylation differences were detected within all gene regions (p < 0.05). A multiplex regression model for biomarker performance incorporating a gene combination discriminated TA from NTA tissues (area under the curve [AUC] 0.747, p = 0.004). A multiplex model incorporating all the above genes and clinical information (PSA, age) identified patients with GG ≥ 2 PC (AUC 0.815, p < 0.0001). In patients with cancer, increased variation in gene methylation levels occurs between biopsies across the prostate.
CONCLUSIONS
A widespread epigenetic field defect is utilized to detect GG ≥ 2 PC in patients with histologically negative biopsies. These alterations in non-tumor cells display increased heterogeneity of methylation extent and are spatially distant from tumor foci. These findings have the potential to decrease the need for repeated prostate biopsy.

Identifiants

pubmed: 31779677
doi: 10.1186/s13148-019-0771-5
pii: 10.1186/s13148-019-0771-5
pmc: PMC6883627
doi:

Substances chimiques

Biomarkers, Tumor 0

Types de publication

Journal Article Multicenter Study Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

168

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Auteurs

Bing Yang (B)

University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.

Tyler Etheridge (T)

University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.

Johnathon McCormick (J)

University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.

Adam Schultz (A)

University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.

Tariq A Khemees (TA)

University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.
Department of Urology, University of Wisconsin, Madison, WI, 53705, USA.

Nathan Damaschke (N)

University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.

Glen Leverson (G)

University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.

Kaitlin Woo (K)

University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.

Geoffrey A Sonn (GA)

Stanford University School of Medicine, Stanford, CA, USA.

Eric A Klein (EA)

Cleveland Clinic, Glickman Urological and Kidney Institute, Cleveland, OH, USA.

Mike Fumo (M)

Rockford Urologic, Rockford, IL, USA.

Wei Huang (W)

University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA.
Carbone Comprehensive Cancer Center, University of Wisconsin, Madison, WI, 53705, USA.

David F Jarrard (DF)

University of Wisconsin School of Medicine and Public Health, Madison, WI, 53705, USA. jarrard@urology.wisc.edu.
Department of Urology, University of Wisconsin, Madison, WI, 53705, USA. jarrard@urology.wisc.edu.
Carbone Comprehensive Cancer Center, University of Wisconsin, Madison, WI, 53705, USA. jarrard@urology.wisc.edu.
Molecular and Environmental Toxicology Program, University of Wisconsin, Madison, WI, 53705, USA. jarrard@urology.wisc.edu.

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Classifications MeSH