Literature DB >> 20126997

In vitro modulation of MMP-2 and MMP-9 in human cervical and ovarian cancer cell lines by cytokines, inducers and inhibitors.

M W Roomi1, J C Monterrey, T Kalinovsky, M Rath, A Niedzwiecki.   

Abstract

Matrix metalloproteinases (MMPs) secreted by cervical and ovarian cancer, especially MMP-2 and MMP-9, play crucial roles in tumor invasion and metastasis. We examined the effect of cytokines, mitogens, inducers and inhibitors on MMP-2 and MMP-9 expression in cervical and ovarian cancer cell lines. Human cervical (HeLa and DoTc2-4510) and ovarian (SK-OV-3) cell lines were cultured in appropriate media. At near confluence, the cells were washed with PBS and incubated in serum-free medium with various concentrations of several cytokines, mitogens and inhibitors. After 24 h the media were removed and analyzed for MMP-2 and MMP-9 by gelatinase zymography and quantitated by densitometry. HeLa and SK-OV-3 cell lines expressed MMP-2 whereas DoTc2-4510 cells expressed MMP-9. Treatment of cervical cancer cell lines (HeLa and DoTc2-4510) with PMA had no effect on MMP-2 expression and a moderate stimulatory effect in ovarian cancer cell line SK-OV-3. MMP-9 was stimulated by phorbol 12-myristate 13-acetate in HeLa cells and enhanced in DoTc2-4510. Tumor necrosis factor-alpha and interleukin-1beta, had slight inhibitory effect on HeLa cell expression of MMP-2 while lipopolysaccharide stimulated MMP-2 in HeLa cells. Doxycycline, epigallocatechin gallate, a nutrient mixture, actinomycin-D, cyclohexamide, retinoic acid and dexamethasone inhibited MMP-2 in HeLa and SK-OV-3 cell lines and inhibited MMP-9 in DoTc2-4510. Our results show that cytokines, mitogens, inducers and inhibitors have an up or down regulatory effect on MMP-2 and MMP-9 expression in ovarian and cervical cancer cell lines, suggesting these agents may be effective strategies to treat these cancers.

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Year:  2010        PMID: 20126997     DOI: 10.3892/or_00000675

Source DB:  PubMed          Journal:  Oncol Rep        ISSN: 1021-335X            Impact factor:   3.906


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