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摘要：
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摘要：目的 通过多数据库联合挖掘探索PTP4A3在肝细胞癌发生发展中的作用。方法 基于Oncomine
及癌症和肿瘤基因图谱（the Cancer Genome Atlas，TCGA）数据库联合数据分析PTP4A3在肝细胞癌
组织和正常组织中的表达水平；通过Human Protein Atlas数据库，进一步研究PTP4A3在肝细胞癌和正
常组织中的表达；同时基于Kaplan-Meier Plotter数据库进一步分析PTP4A3表达水平与肝细胞癌预后的
关系。结果 基于Oncomine数据库分析PTP4A3在肝细胞癌中高表达的研究有1项，低表达的0项。涉及
PTP4A3在肝细胞癌组织和正常组织中转录水平的5项研究中，共包括768个样本，与正常组织相比，
PTP4A3在肝细胞癌组织中高表达（P = 1.06 × 10 -5 ）。基于TCGA数据库（正常组50例，肝细胞癌组
371例），PTP4A3在肝细胞癌组织中显著高表达（P ＜ 0.0001）。在Human Protein Atlas数据库的免
疫组织化学数据中，相对于正常肝组织，PTP4A3在肝细胞癌中显著高表达。Kaplan-Meier Plotter数据
库（n = 364）分析显示，PTP4A3的mRNA表达量与肝细胞癌患者总体生存率存在相关性，即高表达
PTP4A3的患者总体生存率较低，预后较差（P = 0.049）。结论 数据库挖掘显示PTP4A3基因具有促进
肝细胞癌发生发展的作用，是肝细胞癌的关键基因之一，为以PTP4A3作为肝细胞癌药物靶点研究和
治疗提供基础。
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Abstract: Objective To investigate the effects of PTP4A3 expression on the carcinogenesis and development
of hepatocellular carcinoma based on multi-database joint mining. Methods The expression of PTP4A3 in
hepatocellular carcinoma tissues and normal tissues were analyzed based on the combined data of Oncomine
and the Cancer Genome Atlas (TCGA) databases. The expression of PTP4A3 in hepatocellular carcinoma
tissues and normal tissues were researched based on Human Protein Atlas database. Meanwhile, the
relationship between PTP4A3 expression and prognosis of hepatocellular carcinoma were furtherly analyzed
based on Kaplan-Meier Plotter database. Results Based on the Oncomine database, there was one study on
the high expression of PTP4A3 in hepatocellular carcinoma tissues, and there was no low expression. In five
studies involving the expression of PTP4A3 in the transcriptional levels of hepatocellular carcinoma and
normal tissues, a total of 768 samples were included, and PTP4A3 was highly expressed in hepatocellular
carcinoma tissues compared with normal tissues (P = 1.06 × 10 -5 ). Based on the TCGA database (normal
group: 50 cases, hepatocellular carcinoma group: 371 cases), PTP4A3 was highly expressed in hepatocellular
carcinoma tissues (P ＜ 0.0001). In the immunohistochemical data of the Human Protein Atlas database,
PTP4A3 was significantly expressed in hepatocellular carcinoma compared with normal liver tissue. The
Kaplan-Meier Plotter database (n = 364) analysis showed that the mRNA expression of PTP4A3 was
correlated with the overall survival rate of hepatocellular carcinoma. The overall survival rate of patients with
low expression of PTP4A3 was poor, and the prognosis of patients with high expression of PTP4A3 was poor
(P = 0.049). Conclusions This study explored the role of PTP4A3 gene in promoting the development of
hepatocellular carcinoma through database mining and showed that PTP4A3 gene is one of the key genes in
hepatocellular carcinoma. These results provide a basis for future research and a drug target for hepatocellular
carcinoma.
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