肝癌患者中RNF24的表达及临床价值

目的探究RNF24基因在肝癌患者中的表达及其临床意义。方法利用UALCAN、HPA数据库分析RNF24在肝癌中的表达情况。利用TIMER数据库检测RNF24与免疫浸润的相关性及对患者生存的影响。利用Kaplan-Meierplotter工具分析RNF24不同表达水平对肝癌患者临床预后的影响。最后,通过Firebrowse下载肝癌患者临床数据,Cox回归分析预测RNF24对肝癌患者预后的价值。结果UALCAN分析结果显示RNF24 mRNA在肝癌中表达量中位值为0.712(q1=0.376,q3=1.287),显著高于正常肝组织中位值0.265(q1=0.17,q3=0.371)(P<0.01)。HPA数据库分析显示,较相应正常肝组织而言,RNF24蛋白在肝癌组织中表达更高。同时,UALCAN分析结果提示肝癌中高表达的RNF24与患者临床分期、肿瘤分级密切相关。TIMER数据分析提示CD8^(+)T细胞,B细胞,树突状细胞,CD4^(+)T细胞,中性粒细胞和巨噬细胞的浸润水平与RNF24表达水平显著正相关。肿瘤分期、CD8^(+)T细胞、树突状细胞浸润水平以及RNF24表达都是肝癌患者预后的影响因素,而且RNF24表达是影响患者3年和5年生存率的独立危险因素。对从Firebrowse下载的205例具有完整信息的肝癌患者进行Cox回归分析,结果提示RNF24是肝癌患者预后的独立危险因素。结论RNF24可作为预测肝癌患者预后的一种新型标记物。

Expression and clinical value of RNF24 in patients with hepatocellular carcinoma

Objective To investigate the expression of RNF24 gene in patients with hepatocellular carcinoma （HCC） and its clinical significance. Methods Using UALCAN and HPA database to analyze the expression of RNF24 in HCC. TIMER database was used to detect the correlation between RNF24 and immune infiltration and its impact on patient survival. The Kaplan-Meier plotter tool was used to analyze the effects of different expression levels of RNF24 on the clinical prognosis of patients with HCC. Finally, download the clinical data of HCC patients through Firebrowse, and Cox regression analysis predicts the prognostic value of RNF24 for HCC patients. Results The results of UALCAN analysis showed that the median expression of RNF24 mRNA in HCC （Median, M） was 0.712 （q1=0.376, q3=1.287）, which was significantly higher than the median value of normal liver tissue of 0.265 （q1=0.17, q3=0.371） （P<0.01）. HPA database analysis shows that RNF24 protein is higher in HCC tissues than the corresponding normal liver tissues. TIMER analysis indicated that the infiltration level of CD8⁺ T cells, B cells, dendritic cells, CD4⁺ T cells, neutrophils and macrophages was significantly positively correlated with the expression level of RNF24. Tumor staging, CD8⁺ T cells, dendritic cell infiltration levels, and RNF24 expression are all risk factors for the prognosis of HCC patients. Cox regression analysis was performed in 205 HCC patients with complete information from Firebrowse, and the results showed that RNF24 is an independent risk factor for the prognosis of HCC patients. Conclusion RNF24 can be used as a new marker for predicting the prognosis of HCC patients.