基于Oncomine数据库及生物信息学方法挖掘UBE2C基因在卵巢癌中的表达及作用机制

The role and mechanism analysis of UBE2C gene in the ovarian cancer based on Oncomine datasets

目的通过深度挖掘Oncomine数据库中的基因信息,分析泛素结合酶E2C(UBE2C)在卵巢癌中的表达及作用机制。方法收集Oncomine数据库中关于UBE2C研究的信息,对其在卵巢癌的表达水平变化进行分析。采用Kaplan-Meier法分析UBE2C表达水平与卵巢癌患者生存之间的关系,探讨其临床意义。应用Genecards数据库收集与UBE2C基因相关的蛋白,并通过STRING绘制UBE2C相关蛋白网络图,分析蛋白富集的生理过程。结果在Oncomine数据库中共收集14项关于卵巢癌和卵巢正常组织UBE2C基因有差异表达的研究,对其数据进行分析,发现卵巢癌组织中UBE2C基因的表达显著高于卵巢正常组织(P<0 .05)。通过Kaplan-Meier生存分析发现高表达UBE2C基因的卵巢癌患者无病生存期、总生存期明显短于低表达者,低表达患者的预后更好(P<0 .05)。通过Genecards数据库收集到与UBE2C相关的蛋白有RLIM、CBX4、 SIAH2等25个,其相关蛋白富集分析结果显示主要富集在泛素依赖蛋白的分解代谢过程、蛋白质分解代谢过程、蛋白质泛素化、有丝分裂细胞周期中泛素-蛋白连接酶活性的调控、有丝分裂细胞周期的调节、细胞周期等生理过程。结论 UBE2C基因可能通过调节蛋白泛素化过程在卵巢癌发生、发展中发挥作用,高表达时提示卵巢癌患者预后不良,靶向UBE2C可能是一个潜在的肿瘤诊断和治疗工具。

Objective To investigate the expression of the ubiquitin-conjugating enzyme E2C (UB2C) gene in ovarian cancer by deeply excavating the gene information in the Oncomine database, and the mechanism thereof. Methods Information on the UBE2C study was collected from the Oncomine database, and changes in the level of ovarian cancer were analyzed. The relationship between UBE2C expression level and survival rate of ovarian cancer patients was analyzed by Kaplan-Meier method to explore its clinical significance. Genecards database was used to collect proteins related to the UBE2C gene, and drawing the UBE2C related protein network map through STRING. Then, the related proteins were enriched and the physiological process of protein enrichment was analyzed. Results A total of 14 research data collected in the Oncomine database on the differential expression of the UBE2C gene in ovarian cancer and normal samples were analyzed. It was found that the expression of the UBE2C gene in ovarian cancer tissue was significantly higher than that of normal ovarian tissue (P<0.05). Kaplan-Meier survival analysis showed that the disease-free survival and total survival were significantly shorter in patients with high expression of UBE2C gene than those in patients with low expression of UBE2C gene, and the prognosis of patients with low expression of UBE2C gene was better (P<0.05). Through the Genecards database, 25 proteins related to UBE2C were collected including RLIM, CBX4 and SIAH2. The results of the related protein enrichment showed that the main enrichment was ubiquitin-dependent protein catabolic process, protein catabolic process,protein ubiquitination, the regulation of ubiquitin-protein ligase activity involved in mitotic cell cycle, the regulation of mitotic cell cycle and cell cycle. Conclusion UBE2C gene may play a role in the occurrence and development of ovarian cancer by regulating the process of ubiquitination of protein. The high expression of UBE2C gene may be an indicator of poor prognosis in ovarian cancer patients. Targeting UBE2C may be a potential tool for the diagnosis and treatment of tumor.