Academic Journal

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

التفاصيل البيبلوغرافية
العنوان: DNA Methylation-Guided Prediction of Clinical Failure in High-Risk Prostate Cancer.
المؤلفون: Kirill Litovkin, Aleyde Van Eynde, Steven Joniau, Evelyne Lerut, Annouschka Laenen, Thomas Gevaert, Olivier Gevaert, Martin Spahn, Burkhard Kneitz, Pierre Gramme, Thibault Helleputte, Sofie Isebaert, Karin Haustermans, Mathieu Bollen
المصدر: PLoS ONE, Vol 10, Iss 6, p e0130651 (2015)
بيانات النشر: Public Library of Science (PLoS), 2015.
سنة النشر: 2015
المجموعة: LCC:Medicine
LCC:Science
مصطلحات موضوعية: Medicine, Science
الوصف: BackgroundProstate 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.MethodsA 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.ResultsHypermethylation 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.ConclusionsClassification 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1932-6203
Relation: https://doaj.org/toc/1932-6203
DOI: 10.1371/journal.pone.0130651
URL الوصول: https://doaj.org/article/32869977bdee4077b96941b4ea59216a
رقم الانضمام: edsdoj.32869977bdee4077b96941b4ea59216a
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19326203
DOI:10.1371/journal.pone.0130651