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Prediction of desmoid tumor progression using miRNA expression profiling
Desmoid tumor is a rare connective tissue tumor with locoregional aggressiveness but unpredictable behavior. The miRNA profile was ascertained for 26 patients included in the Desminib phase II trial and an independent validation cohort of 15 patients. Predictive and prognostic supervised analysis on...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BlackWell Publishing Ltd
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4452168/ https://www.ncbi.nlm.nih.gov/pubmed/25707497 http://dx.doi.org/10.1111/cas.12640 |
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author | Dufresne, Armelle Paturel, Marie Alberti, Laurent Philippon, Heloise Duc, Adeline Decouvelaere, Anne-Valerie Cassier, Philippe Blay, Jean-Yves |
author_facet | Dufresne, Armelle Paturel, Marie Alberti, Laurent Philippon, Heloise Duc, Adeline Decouvelaere, Anne-Valerie Cassier, Philippe Blay, Jean-Yves |
author_sort | Dufresne, Armelle |
collection | PubMed |
description | Desmoid tumor is a rare connective tissue tumor with locoregional aggressiveness but unpredictable behavior. The miRNA profile was ascertained for 26 patients included in the Desminib phase II trial and an independent validation cohort of 15 patients. Predictive and prognostic supervised analysis on the Desminib cohort failed to identify miRNAs differentially expressed between progressive and non-progressive patients under imatinib treatment or between progressive and non-progressive patients after discontinuation of imatinib. However, an unsupervised hierarchical clustering of the Desminib cohort identified two groups (A and B) of 13 patients each, where only the number of previous lines of treatment before inclusion in the study differed significantly between the two groups. Time to progression after discontinuation of imatinib was longer in group B than in group A. Fifteen miRNAs were highly statistically differentially expressed between groups A and B, targeting more than 3000 genes, including AGO1, BCL2, CDK6, SMAD4, PTEN, CCND1, VEGFA, and RB1. These results were confirmed in the independent validation cohort: hierarchical clustering of these 15 miRNAs identified two groups, in which time to recurrence was statistically different (28.8 months vs 68.8 months). These results provide the first indication of the prognostic value of miRNA expression profiling with a possible direct impact on patient management. A more precise miRNA signature must now be determined to select patients who would not benefit from surgical resection of their tumor and who ought to be monitored without treatment. |
format | Online Article Text |
id | pubmed-4452168 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BlackWell Publishing Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-44521682015-10-05 Prediction of desmoid tumor progression using miRNA expression profiling Dufresne, Armelle Paturel, Marie Alberti, Laurent Philippon, Heloise Duc, Adeline Decouvelaere, Anne-Valerie Cassier, Philippe Blay, Jean-Yves Cancer Sci Original Articles Desmoid tumor is a rare connective tissue tumor with locoregional aggressiveness but unpredictable behavior. The miRNA profile was ascertained for 26 patients included in the Desminib phase II trial and an independent validation cohort of 15 patients. Predictive and prognostic supervised analysis on the Desminib cohort failed to identify miRNAs differentially expressed between progressive and non-progressive patients under imatinib treatment or between progressive and non-progressive patients after discontinuation of imatinib. However, an unsupervised hierarchical clustering of the Desminib cohort identified two groups (A and B) of 13 patients each, where only the number of previous lines of treatment before inclusion in the study differed significantly between the two groups. Time to progression after discontinuation of imatinib was longer in group B than in group A. Fifteen miRNAs were highly statistically differentially expressed between groups A and B, targeting more than 3000 genes, including AGO1, BCL2, CDK6, SMAD4, PTEN, CCND1, VEGFA, and RB1. These results were confirmed in the independent validation cohort: hierarchical clustering of these 15 miRNAs identified two groups, in which time to recurrence was statistically different (28.8 months vs 68.8 months). These results provide the first indication of the prognostic value of miRNA expression profiling with a possible direct impact on patient management. A more precise miRNA signature must now be determined to select patients who would not benefit from surgical resection of their tumor and who ought to be monitored without treatment. BlackWell Publishing Ltd 2015-05 2015-04-06 /pmc/articles/PMC4452168/ /pubmed/25707497 http://dx.doi.org/10.1111/cas.12640 Text en © 2015 The Authors. Cancer Science published by Wiley Publishing Asia Pty Ltd on behalf of Japanese Cancer Association. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Original Articles Dufresne, Armelle Paturel, Marie Alberti, Laurent Philippon, Heloise Duc, Adeline Decouvelaere, Anne-Valerie Cassier, Philippe Blay, Jean-Yves Prediction of desmoid tumor progression using miRNA expression profiling |
title | Prediction of desmoid tumor progression using miRNA expression profiling |
title_full | Prediction of desmoid tumor progression using miRNA expression profiling |
title_fullStr | Prediction of desmoid tumor progression using miRNA expression profiling |
title_full_unstemmed | Prediction of desmoid tumor progression using miRNA expression profiling |
title_short | Prediction of desmoid tumor progression using miRNA expression profiling |
title_sort | prediction of desmoid tumor progression using mirna expression profiling |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4452168/ https://www.ncbi.nlm.nih.gov/pubmed/25707497 http://dx.doi.org/10.1111/cas.12640 |
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