通过生物信息学方法筛选新的肝细胞癌复发关键蛋白

Detection of recurrent markers for hepatocellular carcinoma based on proteomic data

目的寻找肝癌复发新的标志物。方法本研究的蛋白质组学数据来自临床蛋白质组学肿瘤分析联盟(Clinical Proteomic Tumor Analysis Consortium,CPTAC)数据库。将下载的数据根据肝癌是否复发进行分组,分析两组之间的差异蛋白。生存分析、Cox回归和ROC曲线被用来筛选更具临床意义的差异蛋白。在人类蛋白图谱数据库中对关键的蛋白进行了验证。结果在50例复发和77例未复发的乙型肝炎相关肝癌患者中,获得了690个差异表达蛋白。其中,39个蛋白与肝癌的生存分析相关,18个蛋白是肝癌预后的独立影响因素,7种蛋白(BAHCC1、ESF1、RAP1GAP、RUFY1、SCAMP3、STK3和TMEM230)对肝癌5年生存预测的ROC曲线下面积>0.7。结论本研究发现了预测肝癌复发的新蛋白,这些关键蛋白是肝癌预后的独立影响因子。

Objective Hepatocellular carcinoma(HCC)is one of the most common malignant tumors.More than 500000 cases are diagnosed each year.The recurrence of HCC affects the prognosis of patients.Proteomics technology has great potential in searching related biomarkers,and also drives progress on new diagnostic methods.The purpose of the study was to find new markers of HCC recurrence from the perspective of proteomics.Methods The proteomic data were from the clinical proteomic tumor analysis consortium(CPTAC)database.The data was grouped according to the recurrence of HCC,and differential proteins between the 2 groups were analyzed.Survival analysis,Cox regression and receiver operator characteristic(ROC)curve were used to screen clinically significant proteins.The key proteins were verified in the human protein map database.Results A total of 690 differential proteins were screened in 50 relapse cases and 77 non-relapse cases.Among them,39 proteins were related to the survival analysis,18 proteins were independent factors affecting the prognosis of HCC.The area under the ROC curve predicted of 7 proteins(BAHCC1、ESF1、RAP1GAP、RUFY1、SCAMP3、STK3、TMEM230)for the 5-year survival of HCC exceeded 0.7.Conclusion New proteins predicting the recurrence of HCC are screened in the study.The key proteins are not only independent factors,but also have good predictive value for the prognosis of HCC.