BIO Web Conf.
Volume 8, 20172016 International Conference on Medicine Sciences and Bioengineering (ICMSB2016)
|Number of page(s)||6|
|Section||Session I: Medicine|
|Published online||11 January 2017|
Study on the expression of MMP-9 and NF-κB proteins in epithelial ovarian cancer tissue and their clinical value
1 Department of Obstetrics and Gynecology, the Forth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
2 Health Examination Center, the Fourth Hospital of Hebei Medical University, Shijiazhuang, 050011, Hebei, China
a Corresponding author: email@example.com
Objective: To investigate the expression of matrix metalloproteinase-9 (MMP-9) and nuclear factor κappa-B (NF-κB) in different ovarian tissue and explore the relationship between their expression and clinicopathological features of epithelial ovarian cancer. Methods: The expression of NF-κB and MMP-9 in 15 cases of normal ovarian tissue and 80 cases of epithelial ovarian cancer were detected by mmunohistochemistry PV method. Results: Expression of MMP-9 and NF-κB in epithelial ovarian cancer was significantly higher than those in normal ovarian, and the difference was statistically significant (P < 0.05). The expression of MMP-9 protein was not related to histology classification and differentiation degree, but it was significantly related with lymphatic metastasis and clinical stage (P < 0.05). The expression of NF-κB protein was significantly associated with histology classification, lymphatic metastasis, clinical stage, and differentiation degree (P < 0.05). In epithelial ovarian cancer tissue, the expression of MMP-9 and NF-κB proteins showed a significant positive correlation (P < 0.01). Conclusion: The expression MMP-9 and NF-κB proteins are closely related to pathological features of epithelial ovarian cancer and there are important significance to the development, invasion and metastasis of epithelial ovarian cancer. So they might become useful prognostic indicator for diagnosis and prognosis of epithelial ovarian cancer.
© The Authors, published by EDP Sciences, 2017
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