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Whole genome methylation profiles as independent markers of survival in stage IIIC melanoma patients
BACKGROUND: 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 g...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3539917/ https://www.ncbi.nlm.nih.gov/pubmed/22950745 http://dx.doi.org/10.1186/1479-5876-10-185 |
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author | Sigalotti, Luca Covre, Alessia Fratta, Elisabetta Parisi, Giulia Sonego, Paolo Colizzi, Francesca Coral, Sandra Massarut, Samuele Kirkwood, John M Maio, Michele |
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 |
collection | PubMed |
description | BACKGROUND: 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. METHODS: 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. RESULTS: 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; P = 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. CONCLUSIONS: 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. |
format | Online Article Text |
id | pubmed-3539917 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35399172013-01-10 Whole genome methylation profiles as independent markers of survival in stage IIIC melanoma patients Sigalotti, Luca Covre, Alessia Fratta, Elisabetta Parisi, Giulia Sonego, Paolo Colizzi, Francesca Coral, Sandra Massarut, Samuele Kirkwood, John M Maio, Michele J Transl Med Research BACKGROUND: 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. METHODS: 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. RESULTS: 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; P = 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. CONCLUSIONS: 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. BioMed Central 2012-09-05 /pmc/articles/PMC3539917/ /pubmed/22950745 http://dx.doi.org/10.1186/1479-5876-10-185 Text en Copyright ©2012 Sigalotti et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research 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 |
title | 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_short | 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 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3539917/ https://www.ncbi.nlm.nih.gov/pubmed/22950745 http://dx.doi.org/10.1186/1479-5876-10-185 |
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