Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Sigalotti, Luca, Covre, Alessia, Fratta, Elisabetta, Parisi, Giulia, Sonego, Paolo, Colizzi, Francesca, Coral, Sandra, Massarut, Samuele, Kirkwood, John M, Maio, Michele
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
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
_version_ 1782255164684500992
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
work_keys_str_mv AT sigalottiluca wholegenomemethylationprofilesasindependentmarkersofsurvivalinstageiiicmelanomapatients
AT covrealessia wholegenomemethylationprofilesasindependentmarkersofsurvivalinstageiiicmelanomapatients
AT frattaelisabetta wholegenomemethylationprofilesasindependentmarkersofsurvivalinstageiiicmelanomapatients
AT parisigiulia wholegenomemethylationprofilesasindependentmarkersofsurvivalinstageiiicmelanomapatients
AT sonegopaolo wholegenomemethylationprofilesasindependentmarkersofsurvivalinstageiiicmelanomapatients
AT colizzifrancesca wholegenomemethylationprofilesasindependentmarkersofsurvivalinstageiiicmelanomapatients
AT coralsandra wholegenomemethylationprofilesasindependentmarkersofsurvivalinstageiiicmelanomapatients
AT massarutsamuele wholegenomemethylationprofilesasindependentmarkersofsurvivalinstageiiicmelanomapatients
AT kirkwoodjohnm wholegenomemethylationprofilesasindependentmarkersofsurvivalinstageiiicmelanomapatients
AT maiomichele wholegenomemethylationprofilesasindependentmarkersofsurvivalinstageiiicmelanomapatients