Expression and clinical significance of KIF2C gene in hepatocellular carcinoma：An analysis based on data mining

Abstract:

Objective：To investigate the expression and clinical significance of the KIF2C gene in hepatocellular carcinoma by data mining. Methods：Oncomine and GEPIA databases were used to analyze the expression of the KIF2C gene in hepatocellular carcinoma. GEPIA database was used to investigate the correlation of KIF2C expression with pathological classification and survival time. STRING database was used to determine the proteins interacting with KIF2C. Results：The analysis using Oncomine and GEPIA databases showed high mRNA expression of KIF2C in hepatocellular carcinoma tissue（P=0.000），and its expression level was nega－tively correlated with the prognosis of hepatocellular carcinoma（P=0.000）；the expression level of KIF2C increased with the increase in pathological classification. The analysis using STRING database showed that PLK1，AURKB，and CENPA proteins were associated with KIF2C. Conclusion：Tumor gene database mining shows that KIF2C is highly expressed in hepatocellular carcinoma tissue and is associated with patient prognosis，which provides a theoretical basis for research on the pathogenesis of hepatocellular carcinoma and anti-tumor targeted therapy.