Classification and subtype prediction of adult soft tissue sarcoma by functional genomics

Segal, N. H., Pavlidis, P., Antonescu, C. R., Maki, R. G., Noble, W. S., DeSantis, D., Woodruff, J. M., Lewis, J. J., Brennan, M. F., Houghton, A. N., Cordon-Cardo, C. (August 2003) Classification and subtype prediction of adult soft tissue sarcoma by functional genomics. Am J Pathol, 163 (2). pp. 691-700. ISSN 0002-9440 (Print)0002-9440 (Linking)

URL: https://www.ncbi.nlm.nih.gov/pubmed/12875988
DOI: 10.1016/S0002-9440(10)63696-6

Abstract

Adult soft tissue sarcomas are a heterogeneous group of tumors, including well-described subtypes by histological and genotypic criteria, and pleomorphic tumors typically characterized by non-recurrent genetic aberrations and karyotypic heterogeneity. The latter pose a diagnostic challenge, even to experienced pathologists. We proposed that gene expression profiling in soft tissue sarcoma would identify a genomic-based classification scheme that is useful in diagnosis. RNA samples from 51 pathologically confirmed cases, representing nine different histological subtypes of adult soft tissue sarcoma, were examined using the Affymetrix U95A GeneChip. Statistical tests were performed on experimental groups identified by cluster analysis, to find discriminating genes that could subsequently be applied in a support vector machine algorithm. Synovial sarcomas, round-cell/myxoid liposarcomas, clear-cell sarcomas and gastrointestinal stromal tumors displayed remarkably distinct and homogenous gene expression profiles. Pleomorphic tumors were heterogeneous. Notably, a subset of malignant fibrous histiocytomas, a controversialhistological subtype, was identified as a distinct genomic group. The support vector machine algorithm supported a genomic basis for diagnosis, with both high sensitivity and specificity. In conclusion, we showed gene expression profiling to be useful in classification and diagnosis, providing insights into pathogenesis and pointing to potential new therapeutic targets of soft tissue sarcoma.

Item Type: Paper
Uncontrolled Keywords: Adult Algorithms Cluster Analysis Gene Expression Profiling *Genomics Humans Oligonucleotide Array Sequence Analysis Sarcoma/*classification/*genetics/pathology
Subjects: bioinformatics > genomics and proteomics
diseases & disorders > cancer > cancer types > sarcoma
CSHL Authors:
Communities: CSHL labs > Maki lab
Depositing User: Matt Covey
Date: August 2003
Date Deposited: 26 Oct 2016 20:41
Last Modified: 26 Oct 2016 20:41
PMCID: PMC1868218
Related URLs:
URI: http://repository.cshl.edu/id/eprint/33649

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