Abstract | OBJECTIVE: To identify genes involved in fibroid development by performing global expression profiling on tissues of normal myometrium and uterine leiomyoma origin using Affymetrix HG-U133A GeneChip microarrays. DESIGN: Whole-genome analysis of mRNA levels in leiomyoma and normal myometrium tissue samples. SETTING: University research laboratory. PATIENT(S): Eight patients of varying age and race undergoing surgery for symptomatic fibroids. INTERVENTION(S): After tissue collection of five tumors and five normals from human pathological specimens, labeled cRNA was generated and hybridized to the oligonucleotide-composed arrays. MAIN OUTCOME MEASURE(S): Quantification of transcript expression levels in uterine fibroids relative to normal myometrium. RESULT(S): Model-based expression analysis revealed that of the 22,500 transcripts represented on the arrays, 226 genes were found to be dysregulated by a > or =1.5-fold change between leiomyoma and normal myometrium. Moreover, our research identified many dysregulated apoptosis-related genes, of particular interest was TRAIL and Ask1, and also found numerous differentially expressed proliferation genes, including TGFB1, PDGFC, and two dual specificity phosphatases. CONCLUSION(S): These results indicate that these genes may play a significant role in the development of leiomyomas from normal uterine tissue. We hypothesize that the deregulation of apoptotic and proliferative processes is pivotal to fibroid development.
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Authors | Paul J Hoffman, Dawn B Milliken, Laurie C Gregg, Ryan R Davis, Jeffrey P Gregg |
Journal | Fertility and sterility
(Fertil Steril)
Vol. 82
Issue 3
Pg. 639-49
(Sep 2004)
ISSN: 0015-0282 [Print] United States |
PMID | 15374708
(Publication Type: Journal Article, Research Support, U.S. Gov't, P.H.S.)
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Topics |
- Female
- Gene Expression Profiling
(methods)
- Gene Expression Regulation, Neoplastic
(genetics)
- Humans
- In Situ Hybridization
- Leiomyoma
(genetics, pathology, surgery)
- Menstrual Cycle
- Myometrium
(pathology)
- Oligonucleotide Array Sequence Analysis
(methods)
- Reverse Transcriptase Polymerase Chain Reaction
- Uterine Neoplasms
(genetics, pathology, surgery)
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