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  3. DNA Methylation-Guided Prediction of Clinical Failure in High-Risk Prostate Cancer.

DNA Methylation-Guided Prediction of Clinical Failure in High-Risk Prostate Cancer.

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DOI
10.7892/boris.69760
Publisher DOI
10.1371/journal.pone.0130651
PubMed ID
26086362
Abstract
BACKGROUND

Prostate cancer (PCa) is a very heterogeneous disease with respect to clinical outcome. This study explored differential DNA methylation in a priori selected genes to diagnose PCa and predict clinical failure (CF) in high-risk patients.

METHODS

A quantitative multiplex, methylation-specific PCR assay was developed to assess promoter methylation of the APC, CCND2, GSTP1, PTGS2 and RARB genes in formalin-fixed, paraffin-embedded tissue samples from 42 patients with benign prostatic hyperplasia and radical prostatectomy specimens of patients with high-risk PCa, encompassing training and validation cohorts of 147 and 71 patients, respectively. Log-rank tests, univariate and multivariate Cox models were used to investigate the prognostic value of the DNA methylation.

RESULTS

Hypermethylation of APC, CCND2, GSTP1, PTGS2 and RARB was highly cancer-specific. However, only GSTP1 methylation was significantly associated with CF in both independent high-risk PCa cohorts. Importantly, trichotomization into low, moderate and high GSTP1 methylation level subgroups was highly predictive for CF. Patients with either a low or high GSTP1 methylation level, as compared to the moderate methylation groups, were at a higher risk for CF in both the training (Hazard ratio [HR], 3.65; 95% CI, 1.65 to 8.07) and validation sets (HR, 4.27; 95% CI, 1.03 to 17.72) as well as in the combined cohort (HR, 2.74; 95% CI, 1.42 to 5.27) in multivariate analysis.

CONCLUSIONS

Classification of primary high-risk tumors into three subtypes based on DNA methylation can be combined with clinico-pathological parameters for a more informative risk-stratification of these PCa patients.
Date Issued
2015
Publication Type
Article
Subject(s)
600 Technology > 610 Medicine & health
Language(s)
en
Author(s)
Litovkin, Kirill
Van Eynde, Aleyde
Joniau, Steven
Lerut, Evelyne
Laenen, Annouschka
Gevaert, Thomas
Gevaert, Olivier
Spahn, Martin  
Universitätsklinik für Urologie  
Kneitz, Burkhard
Gramme, Pierre
Helleputte, Thibault
Isebaert, Sofie
Haustermans, Karin
Bollen, Mathieu
Additional Credits
Universitätsklinik für Urologie  
Journal
PLoS ONE
Publisher
Public Library of Science
ISSN
1932-6203
Access(Rights)
open.access
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