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Prognostic Value of PLAGL1-Specific CpG Site Methylation in Soft-Tissue Sarcomas
Soft tissue sarcomas (STS) are rare, complex tumors with a poor prognosis. The identification of new prognostic biomarkers is needed to improve patient management. Our aim was to determine the methylation status of the 118 CpG sites in the PLAGL1 tumor-suppressor gene P1 CpG island promoter and stud...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3829972/ https://www.ncbi.nlm.nih.gov/pubmed/24260468 http://dx.doi.org/10.1371/journal.pone.0080741 |
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author | Peille, Anne-Lise Brouste, Veronique Kauffmann, Audrey Lagarde, Pauline Le Morvan, Valerie Coindre, Jean-Michel Chibon, Frederic Bresson-Bepoldin, Laurence |
author_facet | Peille, Anne-Lise Brouste, Veronique Kauffmann, Audrey Lagarde, Pauline Le Morvan, Valerie Coindre, Jean-Michel Chibon, Frederic Bresson-Bepoldin, Laurence |
author_sort | Peille, Anne-Lise |
collection | PubMed |
description | Soft tissue sarcomas (STS) are rare, complex tumors with a poor prognosis. The identification of new prognostic biomarkers is needed to improve patient management. Our aim was to determine the methylation status of the 118 CpG sites in the PLAGL1 tumor-suppressor gene P1 CpG island promoter and study the potential prognostic impact of PLAGL1 promoter methylation CpG sites in STS. Training cohorts constituted of 28 undifferentiated sarcomas (US) and 35 leiomyosarcomas (LMS) were studied. PLAGL1 mRNA expression was investigated by microarray analysis and validated by RT-qPCR. Pyrosequencing was used to analyze quantitative methylation of the PLAGL1 promoter. Associations between global promoter or specific CpG site methylation and mRNA expression were evaluated using Pearson’s product moment correlation coefficient. Cox univariate and multivariate proportional hazard models were used to assess the predictive power of CpG site methylation status. Sixteen CpG sites associated with PLAGL1 mRNA expression were identified in US and 6 in LMS. Statistical analyses revealed an association between CpG107 methylation status and both overall and metastasis-free survival in US, which was confirmed in a validation cohort of 37 US. The exhaustive study of P1 PLAGL1 promoter methylation identified a specific CpG site methylation correlated with mRNA expression, which was predictive for both metastasis-free and overall survival and may constitute the first US-specific biomarker. Such a biomarker may be relevant for identifying patients likely to derive greater benefit from treatment. |
format | Online Article Text |
id | pubmed-3829972 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-38299722013-11-20 Prognostic Value of PLAGL1-Specific CpG Site Methylation in Soft-Tissue Sarcomas Peille, Anne-Lise Brouste, Veronique Kauffmann, Audrey Lagarde, Pauline Le Morvan, Valerie Coindre, Jean-Michel Chibon, Frederic Bresson-Bepoldin, Laurence PLoS One Research Article Soft tissue sarcomas (STS) are rare, complex tumors with a poor prognosis. The identification of new prognostic biomarkers is needed to improve patient management. Our aim was to determine the methylation status of the 118 CpG sites in the PLAGL1 tumor-suppressor gene P1 CpG island promoter and study the potential prognostic impact of PLAGL1 promoter methylation CpG sites in STS. Training cohorts constituted of 28 undifferentiated sarcomas (US) and 35 leiomyosarcomas (LMS) were studied. PLAGL1 mRNA expression was investigated by microarray analysis and validated by RT-qPCR. Pyrosequencing was used to analyze quantitative methylation of the PLAGL1 promoter. Associations between global promoter or specific CpG site methylation and mRNA expression were evaluated using Pearson’s product moment correlation coefficient. Cox univariate and multivariate proportional hazard models were used to assess the predictive power of CpG site methylation status. Sixteen CpG sites associated with PLAGL1 mRNA expression were identified in US and 6 in LMS. Statistical analyses revealed an association between CpG107 methylation status and both overall and metastasis-free survival in US, which was confirmed in a validation cohort of 37 US. The exhaustive study of P1 PLAGL1 promoter methylation identified a specific CpG site methylation correlated with mRNA expression, which was predictive for both metastasis-free and overall survival and may constitute the first US-specific biomarker. Such a biomarker may be relevant for identifying patients likely to derive greater benefit from treatment. Public Library of Science 2013-11-15 /pmc/articles/PMC3829972/ /pubmed/24260468 http://dx.doi.org/10.1371/journal.pone.0080741 Text en © 2013 Peille et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Peille, Anne-Lise Brouste, Veronique Kauffmann, Audrey Lagarde, Pauline Le Morvan, Valerie Coindre, Jean-Michel Chibon, Frederic Bresson-Bepoldin, Laurence Prognostic Value of PLAGL1-Specific CpG Site Methylation in Soft-Tissue Sarcomas |
title | Prognostic Value of PLAGL1-Specific CpG Site Methylation in Soft-Tissue Sarcomas |
title_full | Prognostic Value of PLAGL1-Specific CpG Site Methylation in Soft-Tissue Sarcomas |
title_fullStr | Prognostic Value of PLAGL1-Specific CpG Site Methylation in Soft-Tissue Sarcomas |
title_full_unstemmed | Prognostic Value of PLAGL1-Specific CpG Site Methylation in Soft-Tissue Sarcomas |
title_short | Prognostic Value of PLAGL1-Specific CpG Site Methylation in Soft-Tissue Sarcomas |
title_sort | prognostic value of plagl1-specific cpg site methylation in soft-tissue sarcomas |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3829972/ https://www.ncbi.nlm.nih.gov/pubmed/24260468 http://dx.doi.org/10.1371/journal.pone.0080741 |
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