Abstract：Objective: Multiple databases combined with real-time PCR assay were used to analyze the expression of SUFU gene in gastric cancer tissues, and to explore its clinical significance. Methods: The Oncomine database was used to analyze the expression of SUFU gene in gastric cancer, and UALCAN, an online tool of TGCA database, was used to analyze the difference of SUFU gene expression between normal gastric tissues and gastric cancer tissues and the relationship between SUFU gene expression and clinicopathological features of gastric cancer. Kaplan-Meier Plotter database was used to analyze the correlation between SUFU gene expression and prognosis of gastric cancer patients, and clinical samples were collected and verified by PCR experiment. Results: Meta-analysis of 12 studies on gastric cancer in Oncomine database showed that the median ranking of SUFU differentially expressed genes was 1560.0 (P=0.002), among which 5 studies showed that the expression of SUFU in gastric cancer tissues was significantly higher than that in adjacent normal tissues. UALCAN also showed that SUFU was highly expressed in gastric cancer tissues, and the high expression of SUFU was correlated with the age of patients and the degree of tumor differentiation. The expression level of SUFU in the younger group was higher than that in the older group. The expression level of SUFU in low differentiation group was higher than that in high differentiation group and medium differentiation group (P<0.05). Kaplan-Meier Plotter database showed that the expression level of SUFU was significantly correlated with the prognosis of gastric cancer patients (P<0.05), the overall survival rate of patients with high SUFU expression was lower than that of patients with low SUFU expression. PCR also verified that SUFU gene was highly expressed in gastric cancer tissues. Conclusion: SUFU is highly expressed in gastric cancer tissues and is associated with poor prognosis in gastric cancer patients.
杨波, 何磊, 付田丽, 程玉, 王雪梅, 刘娟. 基于生物信息学分析SUFU基因在胃癌组织中的表达及意义[J]. 河北医学, 2023, 29(4): 551-555.
YANG Bo, HE Lei, FU Tianli, et al. Bioinformatics-Based Analysis of the Expression and Significance of SUFU Gene in Gastric Cancer Tissues. HeBei Med, 2023, 29(4): 551-555.
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2023, Vol. 29 
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