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Molecular classification of synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas by gene expression profiling
In this study, we have used genome-wide expression profiling to categorise synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas (MFHs). Following hierarchical clustering analysis of the expression data, the best match between tumour clusters and conventional diagnosis was observed...
Autores principales: | , , , , , , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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Nature Publishing Group
2003
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2377178/ https://www.ncbi.nlm.nih.gov/pubmed/12592363 http://dx.doi.org/10.1038/sj.bjc.6600766 |
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author | Lee, Y-F John, M Edwards, S Clark, J Flohr, P Maillard, K Edema, M Baker, L Mangham, D C Grimer, R Wooster, R Thomas, J M Fisher, C Judson, I Cooper, C S |
author_facet | Lee, Y-F John, M Edwards, S Clark, J Flohr, P Maillard, K Edema, M Baker, L Mangham, D C Grimer, R Wooster, R Thomas, J M Fisher, C Judson, I Cooper, C S |
author_sort | Lee, Y-F |
collection | PubMed |
description | In this study, we have used genome-wide expression profiling to categorise synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas (MFHs). Following hierarchical clustering analysis of the expression data, the best match between tumour clusters and conventional diagnosis was observed for synovial sarcomas. Eight of nine synovial sarcomas examined formed a cluster that was characterised by higher expression of a set of 48 genes. In contrast, sarcomas conventionally classified as leiomyosarcomas and MFHs did not match the clusters defined by hierarchical clustering analysis. One major cluster contained a mixture of both leiomyosarcomas and MFHs and was defined by the lower expression of a set of 202 genes. A cluster containing a subgroup of MFHs was also detected. These results may have implications for the classification of soft tissue sarcomas, and are consistent with the view that sarcomas conventionally defined as MFHs do not represent a separate diagnostic category. |
format | Text |
id | pubmed-2377178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2003 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-23771782009-09-10 Molecular classification of synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas by gene expression profiling Lee, Y-F John, M Edwards, S Clark, J Flohr, P Maillard, K Edema, M Baker, L Mangham, D C Grimer, R Wooster, R Thomas, J M Fisher, C Judson, I Cooper, C S Br J Cancer Molecular and Cellular Pathology In this study, we have used genome-wide expression profiling to categorise synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas (MFHs). Following hierarchical clustering analysis of the expression data, the best match between tumour clusters and conventional diagnosis was observed for synovial sarcomas. Eight of nine synovial sarcomas examined formed a cluster that was characterised by higher expression of a set of 48 genes. In contrast, sarcomas conventionally classified as leiomyosarcomas and MFHs did not match the clusters defined by hierarchical clustering analysis. One major cluster contained a mixture of both leiomyosarcomas and MFHs and was defined by the lower expression of a set of 202 genes. A cluster containing a subgroup of MFHs was also detected. These results may have implications for the classification of soft tissue sarcomas, and are consistent with the view that sarcomas conventionally defined as MFHs do not represent a separate diagnostic category. Nature Publishing Group 2003-02-24 2003-02-18 /pmc/articles/PMC2377178/ /pubmed/12592363 http://dx.doi.org/10.1038/sj.bjc.6600766 Text en Copyright © 2003 Cancer Research UK https://creativecommons.org/licenses/by/4.0/This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material.If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Molecular and Cellular Pathology Lee, Y-F John, M Edwards, S Clark, J Flohr, P Maillard, K Edema, M Baker, L Mangham, D C Grimer, R Wooster, R Thomas, J M Fisher, C Judson, I Cooper, C S Molecular classification of synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas by gene expression profiling |
title | Molecular classification of synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas by gene expression profiling |
title_full | Molecular classification of synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas by gene expression profiling |
title_fullStr | Molecular classification of synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas by gene expression profiling |
title_full_unstemmed | Molecular classification of synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas by gene expression profiling |
title_short | Molecular classification of synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas by gene expression profiling |
title_sort | molecular classification of synovial sarcomas, leiomyosarcomas and malignant fibrous histiocytomas by gene expression profiling |
topic | Molecular and Cellular Pathology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2377178/ https://www.ncbi.nlm.nih.gov/pubmed/12592363 http://dx.doi.org/10.1038/sj.bjc.6600766 |
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