Molecular profiling of polycystic ovaries for markers of cell invasion and matrix turnover
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Sanna Oksjoki1, Mirva Söderström, Pirjo Inki
1Departments of Medical Biochemistry and Molecular Biology, Turku University Central Hospital, University of Turku, Turku, Finland.
Objective:
To study gene expression profiles of connective tissue components in polycystic ovaries using complementary deoxyribonucleic acid (cDNA) array technology.
Design:
Descriptive study of normal and polycystic human ovarian biopsy samples analyzed by cDNA array hybridizations.
Setting:
Experimental laboratory research.
Patient(S):
Eight women with polycystic ovary syndrome (PCOS) and two normally cycling women treated with electrocauterization and hysterectomy, respectively.
Interventions:
Ovarian biopsy samples.
Main Outcome Measure(S):
Expression levels of 588 genes involved in cellular invasion, extracellular matrix (ECM) turnover, and cell-ECM interactions in polycystic ovaries.
Result(S):
A majority of the 30 genes down-regulated in PCOS ovaries represented those related to cell adhesion and motility, as well as angiogenesis, followed by regulators of cell cycle and growth. The 14 up-regulated genes represented those regulating cell fate and development, growth factors, cytokines, chemokines, and cell-cell interactions. Of the 44 transcripts exhibiting marked changes in the cDNA array analysis, only one - proliferating cell nuclear antigen messenger ribonucleic acid (PCNA mRNA) - was systematically down-regulated; 2 transcripts, for CDC27HS protein and CD9 antigen, were down-regulated in 7 out of 8 PCOS samples.
Conclusion(S):
The present data suggest that gene expression profiling may become a useful tool to classify PCOS patients into subgroups with different etiologies. Genome-wide expression profiling using microarrays should be performed to better understand the metabolic derangement(s) in PCOS.
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