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
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关键词：卵巢肿瘤；泛素缀合酶类；计算生物学；UBE2C 基因；Oncomine 数据库 中图分类号：R737.31 文献标志码：A DOI:10.11958/20181891
The role and mechanism analysis of UBE2C gene in the ovarian cancer based on Oncomine datasets
YIN Xue-qin, NI Na, ZHANG Qin, LENG Tian-yan, YANG Li-hua△ Department of Gynecology, the Second Affiliated Hospital of Kunming Medical University, Kunming 650101, China
△Corresponding Author E-mail: yanglihua0628@ Abstract: 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,
天津医药 2019 年 6 月第 47 卷ncomine 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
殷雪琴，倪娜，张琴，冷天艳，杨丽华△
摘要：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。
The role and mechanism analysis of UBE2C gene in the ovarian cancer based on Oncomine datasets
YIN Xue-qin, NI Na, ZHANG Qin, LENG Tian-yan, YANG Li-hua△ Department of Gynecology, the Second Affiliated Hospital of Kunming Medical University, Kunming 650101, China
△Corresponding Author E-mail: yanglihua0628@ Abstract: 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,
天津医药 2019 年 6 月第 47 卷ncomine 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
殷雪琴，倪娜，张琴，冷天艳，杨丽华△
摘要：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。