Top 20 positive significant genes associated with leiomyosarcoma tumors expressing muscle gene cluster with CNN1 [GeneID=1264].
Full description or abstract
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 soft-tissue 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.
Collection
ARCHIVED: Archived Founder gene sets that are referenced by current Hallmarks C2_NONE: ARCHIVED Curated C2_CGP: ARCHIVED Chemical and Genetic Perturbations
Source publication
Pubmed 11965276 Authors: Nielsen TO,West RB,Linn SC,Alter O,Knowling MA,O'Connell JX,Zhu S,Fero M,Sherlock G,Pollack JR,Brown PO,Botstein D,van de Rijn M
