Molecular characterisation of soft tissue tumours: a gene expression study
Autor: | Jonathan R. Pollack, Torsten O. Nielsen, David Botstein, Mike Fero, Matt van de Rijn, Shirley Zhu, Patrick O. Brown, Sabine C. Linn, Orly Alter, Margaret A. Knowling, John X. O'Connell, Robert B. West, Gavin Sherlock |
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Rok vydání: | 2002 |
Předmět: |
Regulation of gene expression
Pathology medicine.medical_specialty Microarray Gene Expression Profiling Sarcoma Soft Tissue Neoplasms General Medicine Liposarcoma Histogenesis Biology medicine.disease Gene Expression Regulation Neoplastic Gene expression profiling Cytopathology medicine Humans Immunohistochemistry DNA microarray Oligonucleotide Array Sequence Analysis |
Zdroj: | The Lancet. 359:1301-1307 |
ISSN: | 0140-6736 |
Popis: | Summary Background Soft-tissue tumours are derived from mesenchymal cells such as fibroblasts, muscle cells, or adipocytes, but for many such tumours the histogenesis is controversial. We aimed to start molecular characterisation of these rare neoplasms and to do a genome-wide search for new diagnostic markers. Methods We analysed gene-expression patterns of 41 softtissue tumours with spotted cDNA microarrays. After removal of errors introduced by use of different microarray batches, the expression patterns of 5520 genes that were well defined were used to separate tumours into discrete groups by hierarchical clustering and singular value decomposition. Findings Synovial sarcomas, gastrointestinal stromal tumours, neural tumours, and a subset of the leiomyosarcomas, showed strikingly distinct gene-expression patterns. Other tumour categories—malignant fibrous histiocytoma, liposarcoma, and the remaining leiomyosarcomas—shared molecular profiles that were not predicted by histological features or immunohistochemistry. Strong expression of known genes, such as KIT in gastrointestinal stromal tumours, was noted within gene sets that distinguished the different sarcomas. However, many uncharacterised genes also contributed to the distinction between tumour types. Interpretation These results suggest a new method for classification of soft-tissue tumours, which could improve on the method based on histological findings. Large numbers of uncharacterised genes contributed to distinctions between the tumours, and some of these could be useful markers for diagnosis, have prognostic significance, or prove possible targets for treatment. |
Databáze: | OpenAIRE |
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