Abstract:
Objective To investigate the relationship between the expression levels of microRNA-485-3p (miR-485-3p) and Xklp2 target protein (TPX2) in breast cancer tissues and prognosis of patients.
Methods Immunohistochemistry was used to detect TPX2 protein expression, real-time fluorescent quantitative polymerase chain reaction was used to detect the expression of miR-485-3p and TPX2 mRNA. Pearson test was used to analyze the relationship between miR-485-3p expression and TPX2 mRNA expression in breast cancer tissues. Followed up for 5 years, the Kaplan-Meier method was used to analyze the relationships between the expressions of miR-485-3p, TPX2 proteins in breast cancer tissue and the overall survival rate of the patient, and COX regression analysis was used to analyze the risk factors affecting the overall survival of breast cancer patients.
Results The positive rate of TPX2 protein and the level of TPX2 mRNA expression in breast cancer tissues were significantly higher than those in normal tissues adjacent to cancer, the expression level of miR-485-3p was significantly lower than that of normal tissues adjacent to cancer (P < 0.05). The expression of miR-485-3p and TPX2 proteins in breast cancer tissues were related to TNM stage, lymph node metastasis and Ki-67 expression (P < 0.05). The expression of miR-485-3p in breast cancer tissue was negatively correlated with the expression of TPX2 mRNA (P < 0.05). The 5-year overall survival rate of patients with high miR-485-3p expression was 77.78%, which was significantly higher than 52.94% of patients with low miR-485-3p expression (P < 0.05); the 5-year overall survival rate of TPX2 negative patients was 84.00%, which was significantly higher than 60.00% of positive patients (P < 0.05). The lymph node metastasis, low expression of miR-485-3p, and positive TPX2 protein were independent risk factors affecting the overall survival of breast cancer patients (P < 0.05).
Conclusion In breast cancer tissues, miR-485-3p is lowly expressed and TPX2 is highly expressed. They are negatively correlated, and both can be used as prognostic indicators for judging breast cancer patients.