TY - JOUR
T1 - Molecular characterisation of soft tissue tumours
T2 - A gene expression study
AU - Nielsen, Torsten O.
AU - West, Rob B.
AU - Linn, Sabine C.
AU - Alter, Orly
AU - Knowling, Margaret A.
AU - O'Connell, John X.
AU - Zhu, Shirley
AU - Fero, Mike
AU - Sherlock, Gavin
AU - Pollack, Jonathan R.
AU - Brown, Patrick O.
AU - Botstein, David
AU - Van De Rijn, Matt
N1 - Funding Information:
This work was supported by National Institutes of Health grants CA85129 and CA84967 and the Howard Hughes Medical Institute. POB is an associate investigator of the Howard Hughes Medical Institute. OA is an Alfred P Sloan and US Department of Energy postdoctoral fellow in Computational Molecular Biology, and has been awarded a National Human Genome Research Institute Individual Mentored Research Scientist Development grant in genomic research and analysis (National Institutes of Health, 1 K01 HG00038-01). SCL receives a Dutch Cancer Society postdoctoral research fellowship.
PY - 2002/4/13
Y1 - 2002/4/13
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/0037070754
U2 - 10.1016/S0140-6736(02)08270-3
DO - 10.1016/S0140-6736(02)08270-3
M3 - Article
C2 - 11965276
AN - SCOPUS:0037070754
SN - 0140-6736
VL - 359
SP - 1301
EP - 1307
JO - Lancet
JF - Lancet
IS - 9314
ER -