@article{LitovkinVanEyndeJoniauetal.2015,
  author    = {Litovkin, Kirill and Van Eynde, Aleyde and Joniau, Steven and Lerut, Evelyne and Laenen, Annouschka and Gevaert, Thomas and Gevaert, Olivier and Spahn, Martin and Kneitz, Burkhard and Gramme, Pierre and Helleputte, Thibault and Isebaert, Sofie and Haustermans, Karin and Bollen, Mathieu},
  title     = {DNA Methylation-Guided Prediction of Clinical Failure in High-Risk Prostate Cancer},
  series = {PLoS ONE},
  volume    = {10},
  journal   = {PLoS ONE},
  number    = {6},
  doi       = {10.1371/journal.pone.0130651},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-151705},
  pages     = {e0130651},
  year      = {2015},
  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.},
  language  = {en}
}