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Gene expression identifies heterogeneity of metastatic propensity in high-grade soft tissue sarcomas

Skubitz, Keith M.; Francis, Princy LU ; Skubitz, Amy P. N.; Luo, Xianghua and Nilbert, Mef LU (2012) In Cancer 118(17). p.4235-4243
Abstract
BACKGROUND: Metastatic propensity of soft tissue sarcoma (STS) is heterogeneous and may be determined by gene expression patterns that do not correlate well with morphology. The authors have reported gene expression patterns that distinguish 2 broad classes of clear cell renal carcinoma (ccRCC-gene set), and other patterns that can distinguish heterogeneity of serous ovarian carcinoma (OVCA-gene set) and aggressive fibromatosis (AF-gene set); however, clinical follow-up data were not available for these samples. METHODS: In the current study, gene expression patterns in 73 samples of high-grade STS were examined using spotted cDNA microarray slides that contained similar to 16,000 unique UniGene clusters. Approximately 50% of the genes... (More)
BACKGROUND: Metastatic propensity of soft tissue sarcoma (STS) is heterogeneous and may be determined by gene expression patterns that do not correlate well with morphology. The authors have reported gene expression patterns that distinguish 2 broad classes of clear cell renal carcinoma (ccRCC-gene set), and other patterns that can distinguish heterogeneity of serous ovarian carcinoma (OVCA-gene set) and aggressive fibromatosis (AF-gene set); however, clinical follow-up data were not available for these samples. METHODS: In the current study, gene expression patterns in 73 samples of high-grade STS were examined using spotted cDNA microarray slides that contained similar to 16,000 unique UniGene clusters. Approximately 50% of the genes present in the ccRCC-, OVCA-, and AF-gene sets were also represented in the data from this chip set, and these were combined to form a composite gene set of 278 probes. RESULTS: Hierarchical clustering using this composite gene set suggested the existence of subsets of the STS samples. Analysis revealed differences in the time to development of metastatic disease between the clusters defined by the first branch point of the clustering dendrogram (P = .005), and also among the 4 different clusters defined by the second branch points (P = .001). CONCLUSIONS: This approach suggests the existence of >2 subsets of high-grade pleomorphic STS, each with distinct clinical behavior. A composite gene set such as that described here may be useful to stratify STS in clinical trials, and may be of practical utility in patient management. Cancer 2012.(c) 2012 American Cancer Society. (Less)
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
microarray, sarcoma, gene expression, heterogeneity, subgroups, metastasis, prognosis
in
Cancer
volume
118
issue
17
pages
4235 - 4243
publisher
John Wiley & Sons
external identifiers
  • wos:000307845200021
  • scopus:84865338879
ISSN
1097-0142
DOI
10.1002/cncr.26733
language
English
LU publication?
yes
id
04710ddd-e607-4cba-b46e-bd41bb80ebde (old id 3147660)
date added to LUP
2012-11-01 09:32:26
date last changed
2017-01-15 03:08:47
@article{04710ddd-e607-4cba-b46e-bd41bb80ebde,
  abstract     = {BACKGROUND: Metastatic propensity of soft tissue sarcoma (STS) is heterogeneous and may be determined by gene expression patterns that do not correlate well with morphology. The authors have reported gene expression patterns that distinguish 2 broad classes of clear cell renal carcinoma (ccRCC-gene set), and other patterns that can distinguish heterogeneity of serous ovarian carcinoma (OVCA-gene set) and aggressive fibromatosis (AF-gene set); however, clinical follow-up data were not available for these samples. METHODS: In the current study, gene expression patterns in 73 samples of high-grade STS were examined using spotted cDNA microarray slides that contained similar to 16,000 unique UniGene clusters. Approximately 50% of the genes present in the ccRCC-, OVCA-, and AF-gene sets were also represented in the data from this chip set, and these were combined to form a composite gene set of 278 probes. RESULTS: Hierarchical clustering using this composite gene set suggested the existence of subsets of the STS samples. Analysis revealed differences in the time to development of metastatic disease between the clusters defined by the first branch point of the clustering dendrogram (P = .005), and also among the 4 different clusters defined by the second branch points (P = .001). CONCLUSIONS: This approach suggests the existence of >2 subsets of high-grade pleomorphic STS, each with distinct clinical behavior. A composite gene set such as that described here may be useful to stratify STS in clinical trials, and may be of practical utility in patient management. Cancer 2012.(c) 2012 American Cancer Society.},
  author       = {Skubitz, Keith M. and Francis, Princy and Skubitz, Amy P. N. and Luo, Xianghua and Nilbert, Mef},
  issn         = {1097-0142},
  keyword      = {microarray,sarcoma,gene expression,heterogeneity,subgroups,metastasis,prognosis},
  language     = {eng},
  number       = {17},
  pages        = {4235--4243},
  publisher    = {John Wiley & Sons},
  series       = {Cancer},
  title        = {Gene expression identifies heterogeneity of metastatic propensity in high-grade soft tissue sarcomas},
  url          = {http://dx.doi.org/10.1002/cncr.26733},
  volume       = {118},
  year         = {2012},
}