Gene expression identifies heterogeneity of metastatic propensity in high-grade soft tissue sarcomas
(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)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/3147660
- author
- Skubitz, Keith M. ; Francis, Princy LU ; Skubitz, Amy P. N. ; Luo, Xianghua and Nilbert, Mef LU
- organization
- publishing date
- 2012
- 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 Inc.
- external identifiers
-
- wos:000307845200021
- scopus:84865338879
- pmid:22252777
- ISSN
- 1097-0142
- DOI
- 10.1002/cncr.26733
- project
- Precision Medicine in Hereditary Cancer and Sarcoma; targeted surveillance, immunotherapy and individualized follow-up
- language
- English
- LU publication?
- yes
- id
- 04710ddd-e607-4cba-b46e-bd41bb80ebde (old id 3147660)
- date added to LUP
- 2016-04-01 10:18:08
- date last changed
- 2022-02-17 08:44:09
@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}},
keywords = {{microarray; sarcoma; gene expression; heterogeneity; subgroups; metastasis; prognosis}},
language = {{eng}},
number = {{17}},
pages = {{4235--4243}},
publisher = {{John Wiley & Sons Inc.}},
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}},
doi = {{10.1002/cncr.26733}},
volume = {{118}},
year = {{2012}},
}