Expression of endocrine gland-derived vascular endothelial growth factor in ovarian carcinoma.
The first tissue-specific angiogenic molecule, endocrine gland-derived vascular endothelial growth factor (EG-VEGF), was identified recently in human ovary, raising hopes of developing tumor type-specific angiogenesis inhibitors. In the present study, we analyzed the expression of EG-VEGF mRNA in normal human tissues and ovarian neoplasms by quantitative real-time reverse transcription-PCR. EG-VEGF mRNA was expressed in all ovarian neoplasms examined. No significant difference was identified among benign, low malignant potential neoplasms or stage I ovarian cancer, all of which exhibited 2-fold lower mRNA levels compared with normal premenopausal ovaries. EG-VEGF mRNA levels further decreased in late stage compared with early stage carcinomas (P < 0.05) and were consistently lower in laser capture microdissected tumor islets compared with surrounding stroma. EG-VEGF was undetectable by reverse transcription-PCR in 17 established epithelial ovarian cancer cell lines or in cultured human ovarian surface epithelial cells, whereas it was detected in peripheral blood as well as tumor-infiltrating T lymphocytes. Finally, in contrast to VEGF, EG-VEGF mRNA levels did not correlate with clinical outcome in advanced ovarian carcinoma. These results suggest that EG-VEGF is most likely derived from nonepithelial components of ovarian carcinomas and may play a marginal role in promoting angiogenesis in advanced ovarian carcinoma. We postulate that EG-VEGF-targeted antiangiogenic therapy may prove useful in early stage but not in advanced stage ovarian carcinoma.[1]References
- Expression of endocrine gland-derived vascular endothelial growth factor in ovarian carcinoma. Zhang, L., Yang, N., Conejo-Garcia, J.R., Katsaros, D., Mohamed-Hadley, A., Fracchioli, S., Schlienger, K., Toll, A., Levine, B., Rubin, S.C., Coukos, G. Clin. Cancer Res. (2003) [Pubmed]
Annotations and hyperlinks in this abstract are from individual authors of WikiGenes or automatically generated by the WikiGenes Data Mining Engine. The abstract is from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.About WikiGenesOpen Access LicencePrivacy PolicyTerms of Useapsburg