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Expression of CD44 and Nanog in tissues with epithelial ovarian cancer and its clinical significance |
DU Wensheng WEI Min |
Department of Obstetrics and Gynecology, Affiliated Hospital of Xuzhou Medical University, Jiangsu Province, Xuzhou 221002, China |
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Abstract Objective To explore the expression levels of CD44 and transcription factor Nanog in tissues with epithelial ovarian cancer and its clinical significance. Methods A total of 80 ovarian tissues of patients with epithelial ovarian cancer treated by operation in Affiliated Hospital of Xuzhou Medical University from January to December 2012 were collected as case group. At the same time, 60 ouarian tissues of patients with benign ovarian tumors were randomly selected as control group. The expression levels of CD44 and Nanog of two groups were detected by immunohistochemistry. Results The positive expression rate of CD44 and Nanog in case group were both higher than the control group, the differences were statistically significant (P < 0.05). The positive rate in patients with tumor diameter ≥ 3 cm, low differentiation, T3+T4 stage of infiltration depth, FIGO stage Ⅲ+Ⅳ, lymph node metastasis were higher than those with tumor diameter <3 cm, medium and high differentiation, T1+T2 stage of infiltration depth, FIGO stage Ⅰ+Ⅱ, no lymph node metastasis, the differences were statistically significant (P < 0.05). Spearman rank correlation analysis showed that a positive correlation between CD44 and Nanog expression in case group was found (rs = 0.592, P < 0.05). The 5-year survival rate in patients with CD44 positive expression was lower than that in patients with CD44 negative expression, and the 5-year survival rate in patients with Nanog positive expression was lower than that in patients with Nanog negative expression, the differences were statistically significant (P < 0.05). Conclusion The up-regulated expression of CD44 and Nanog is involved in the occurrence and development of epithelial ovarian cancer. Early detection of CD44 and Nanog can be used as an important markers for diagnosing epithelial ovarian cancer and evaluating the severity of disease and predicting prognosis.
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