Whole genome methylation profiles as independent markers of survival in stage IIIC melanoma patients

<p>Abstract</p> <p>Background</p> <p>The clinical course of cutaneous melanoma (CM) can differ significantly for patients with identical stages of disease, defined clinico-pathologically, and no molecular markers differentiate patients with such a diverse prognosis. Thi...

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Main Authors: Sigalotti Luca, Covre Alessia, Fratta Elisabetta, Parisi Giulia, Sonego Paolo, Colizzi Francesca, Coral Sandra, Massarut Samuele, Kirkwood John M, Maio Michele
Format: Article
Language:English
Published: BMC 2012-09-01
Series:Journal of Translational Medicine
Subjects:
Online Access:http://www.translational-medicine.com/content/10/1/185
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spelling doaj-ad91512dc0e64a1c92b8873c7bbe35732020-11-24T23:56:31ZengBMCJournal of Translational Medicine1479-58762012-09-0110118510.1186/1479-5876-10-185Whole genome methylation profiles as independent markers of survival in stage IIIC melanoma patientsSigalotti LucaCovre AlessiaFratta ElisabettaParisi GiuliaSonego PaoloColizzi FrancescaCoral SandraMassarut SamueleKirkwood John MMaio Michele<p>Abstract</p> <p>Background</p> <p>The clinical course of cutaneous melanoma (CM) can differ significantly for patients with identical stages of disease, defined clinico-pathologically, and no molecular markers differentiate patients with such a diverse prognosis. This study aimed to define the prognostic value of whole genome DNA methylation profiles in stage III CM.</p> <p>Methods</p> <p>Genome-wide methylation profiles were evaluated by the Illumina Human Methylation 27 BeadChip assay in short-term neoplastic cell cultures from 45 stage IIIC CM patients. Unsupervised K-means partitioning clustering was exploited to sort patients into 2 groups based on their methylation profiles. Methylation patterns related to the discovered groups were determined using the nearest shrunken centroid classification algorithm. The impact of genome-wide methylation patterns on overall survival (OS) was assessed using Cox regression and Kaplan-Meier analyses.</p> <p>Results</p> <p>Unsupervised K-means partitioning by whole genome methylation profiles identified classes with significantly different OS in stage IIIC CM patients. Patients with a “favorable” methylation profile had increased OS (P = 0.001, log-rank = 10.2) by Kaplan-Meier analysis. Median OS of stage IIIC patients with a “favorable” vs. “unfavorable” methylation profile were 31.5 and 10.4 months, respectively. The 5 year OS for stage IIIC patients with a “favorable” methylation profile was 41.2% as compared to 0% for patients with an “unfavorable” methylation profile. Among the variables examined by multivariate Cox regression analysis, classification defined by methylation profile was the only predictor of OS (Hazard Ratio = 2.41, for “unfavorable” methylation profile; 95% Confidence Interval: 1.02-5.70; <it>P</it> = 0.045). A 17 gene methylation signature able to correctly assign prognosis (overall error rate = 0) in stage IIIC patients on the basis of distinct methylation-defined groups was also identified.</p> <p>Conclusions</p> <p>A discrete whole-genome methylation signature has been identified as molecular marker of prognosis for stage IIIC CM patients. Its use in daily practice is foreseeable, and promises to refine the comprehensive clinical management of stage III CM patients.</p> http://www.translational-medicine.com/content/10/1/185Whole-genome methylation profilingPrognosisPrognostic signatureHypermethylationImmunotherapy
collection DOAJ
language English
format Article
sources DOAJ
author Sigalotti Luca
Covre Alessia
Fratta Elisabetta
Parisi Giulia
Sonego Paolo
Colizzi Francesca
Coral Sandra
Massarut Samuele
Kirkwood John M
Maio Michele
spellingShingle Sigalotti Luca
Covre Alessia
Fratta Elisabetta
Parisi Giulia
Sonego Paolo
Colizzi Francesca
Coral Sandra
Massarut Samuele
Kirkwood John M
Maio Michele
Whole genome methylation profiles as independent markers of survival in stage IIIC melanoma patients
Journal of Translational Medicine
Whole-genome methylation profiling
Prognosis
Prognostic signature
Hypermethylation
Immunotherapy
author_facet Sigalotti Luca
Covre Alessia
Fratta Elisabetta
Parisi Giulia
Sonego Paolo
Colizzi Francesca
Coral Sandra
Massarut Samuele
Kirkwood John M
Maio Michele
author_sort Sigalotti Luca
title Whole genome methylation profiles as independent markers of survival in stage IIIC melanoma patients
title_short Whole genome methylation profiles as independent markers of survival in stage IIIC melanoma patients
title_full Whole genome methylation profiles as independent markers of survival in stage IIIC melanoma patients
title_fullStr Whole genome methylation profiles as independent markers of survival in stage IIIC melanoma patients
title_full_unstemmed Whole genome methylation profiles as independent markers of survival in stage IIIC melanoma patients
title_sort whole genome methylation profiles as independent markers of survival in stage iiic melanoma patients
publisher BMC
series Journal of Translational Medicine
issn 1479-5876
publishDate 2012-09-01
description <p>Abstract</p> <p>Background</p> <p>The clinical course of cutaneous melanoma (CM) can differ significantly for patients with identical stages of disease, defined clinico-pathologically, and no molecular markers differentiate patients with such a diverse prognosis. This study aimed to define the prognostic value of whole genome DNA methylation profiles in stage III CM.</p> <p>Methods</p> <p>Genome-wide methylation profiles were evaluated by the Illumina Human Methylation 27 BeadChip assay in short-term neoplastic cell cultures from 45 stage IIIC CM patients. Unsupervised K-means partitioning clustering was exploited to sort patients into 2 groups based on their methylation profiles. Methylation patterns related to the discovered groups were determined using the nearest shrunken centroid classification algorithm. The impact of genome-wide methylation patterns on overall survival (OS) was assessed using Cox regression and Kaplan-Meier analyses.</p> <p>Results</p> <p>Unsupervised K-means partitioning by whole genome methylation profiles identified classes with significantly different OS in stage IIIC CM patients. Patients with a “favorable” methylation profile had increased OS (P = 0.001, log-rank = 10.2) by Kaplan-Meier analysis. Median OS of stage IIIC patients with a “favorable” vs. “unfavorable” methylation profile were 31.5 and 10.4 months, respectively. The 5 year OS for stage IIIC patients with a “favorable” methylation profile was 41.2% as compared to 0% for patients with an “unfavorable” methylation profile. Among the variables examined by multivariate Cox regression analysis, classification defined by methylation profile was the only predictor of OS (Hazard Ratio = 2.41, for “unfavorable” methylation profile; 95% Confidence Interval: 1.02-5.70; <it>P</it> = 0.045). A 17 gene methylation signature able to correctly assign prognosis (overall error rate = 0) in stage IIIC patients on the basis of distinct methylation-defined groups was also identified.</p> <p>Conclusions</p> <p>A discrete whole-genome methylation signature has been identified as molecular marker of prognosis for stage IIIC CM patients. Its use in daily practice is foreseeable, and promises to refine the comprehensive clinical management of stage III CM patients.</p>
topic Whole-genome methylation profiling
Prognosis
Prognostic signature
Hypermethylation
Immunotherapy
url http://www.translational-medicine.com/content/10/1/185
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