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Expression and clinical significance of miR-410 and CCNB1 in ovarian cancer tissues |
ZHAO Shuang SUN Jingli |
Department of Obstetrics and Gynecology, General Hospital of the Northern Theater of the Chinese People’s Liberation Army, Shenyang Province, Liaoning 110003, China |
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Abstract Objective To investigate the expression levels of microRNA-410 (miR-410) and cyclin B1 (CCNB1) in ovarian cancer, and to analyze their relationship with clinical pathological data. Methods Quantitative real-time PCR (qRT-PCR) was used to detect the relative expression of miR-410 and CCNB1 mRNA in 83 cases of ovarian cancer and adjacent tissues in General Hospital of the Northern Theater of the Chinese People’s Liberation Army (from January 2017 to February 2020), the relationship between the two indicators and clinical pathological data was analyzed. Results The relative expression of miR-410 in ovarian cancer was lower than in adjacent tissues, and the relative expression of CCNB1 mRNA was higher than in adjacent tissues (P < 0.05). The relative expression of miR-410 in ovarian cancer tissues in FIGO stage Ⅲ-Ⅳ, tumor invasion depth T3+T4, low-medium cell differentiation, and lymph node metastasis was lower than those of tumor FIGO stage Ⅰ-Ⅱ, tumor invasion depth T1+T2, patients with high cell differentiation and had no lymph node metastasis, and the relative expression of CCNB1 in the tumor FIGO stage Ⅲ-Ⅳ, the tumor infiltration depth was T3+T4, the cell differentiation was low to medium, and the lymph node metastasis was higher than those of the tumor FIGO stage Ⅰ-Ⅱ, the depth of tumor invasion was T1+ T2, and the cells were highly differentiated and had no lymph node metastasis (P < 0.05). Correlation analysis showed that there was a negative correlation between miR-410 and CCNB1 expression in ovarian cancer (r = -0.605, P < 0.05). Conclusion The expression level of miR-410 in ovarian cancer is lower than that in adjacent tissues, and the expression level of CCNB1 mRNA is higher than in adjacent tissues, which is closely related to the tumor FIGO stage, tumor invasion depth, cell differentiation degree and lymphatic metastasis. It is expected to become an biomarkers for ovarian cancer diagnosis, treatment and prognosis.
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