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基于多数据库分析FAM107A在胃癌中的表达及临床意义 被引量:1

Utilizing Databases to Study the Expression of FAM107A in Gastric Cancer and Its Clinical Significance
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摘要 目的研究FAM107A在胃癌组织中的表达情况,分析其表达差异与临床病理特征及预后之间的关系,并进一步探讨FAM107A在胃癌中的突变位点及相互作用蛋白情况。方法从Human Protein Atlas(HPA)数据库、TCGA数据库、Oncomine数据库中对FAM107A进行数据挖掘,分析FAM107A在正常组织和胃癌组织中的表达情况;运用LinkedOmics数据库分析FAM107A表达量与胃癌临床病理特征的关系;运用Kaplan-Meier Plotter数据库分析FAM107A表达量于胃癌患者预后的关系;运用cBioportal数据库、String数据库分析FAM107A在胃癌中的突变位点及相互作用蛋白情况。结果HPA数据库结果显示,正常组织中,FAM107A在大脑皮层表达量最高,在胃组织中表达量排第40位;肿瘤组织中,FAM107A在神经胶质瘤中表达量最高,胃癌中表达量处于第9位。且FAM107A蛋白主要定位在细胞核。Oncomine数据库中结果显示,170项有关FAM107A表达差异的研究具有统计学意义(P均<0.05),其中159项研究提示,FAM107A在多种癌组织中低表达,包括胃癌。同时,分析TCGA数据库中637个胃癌样本,结果显示,FAM107A在各个类型的胃癌中均呈现低表达。FAM107A在胃癌中的表达与胃癌患者的组织学类型(P<0.01)、病理分期(P<0.01)、T分期(P<0.01)有关,与年龄、人种、残留癌无明显相关性(P均>0.05)。Kaplan-Meier Plotter数据库生存分析提示,FAM107表达差异与患者预后无统计学意义(P>0.05)。cBioportal数据库分析发现,FAM107A在胃癌中的突变只有错义突变一种类型(E140K)。与FAM107A相互作用的蛋白包括ETNPPL、SLCO1C1、GPHA2、TADA2A、SPARCL1等,并可能共同参与细胞过程。结论FAM107A在多种癌症中呈现低表达,包括胃癌。FAM107A蛋白主要定位于细胞核,且FAM107A在胃癌中的突变只有错义突变一种类型。FAM107A低表达与胃癌某些临床病理特征相关,与胃癌患者总体生存率无显著相关性。 Objective To investigate the expression of FAM107 A in gastric cancer tissues and analyze its relationship with clinicopathological features and prognosis,and to further explore the mutations and protein network interacting with FAM107 A in gastric cancer.Methods The expression of FAM107 A in normal tissues and gastric cancer was analyzed by Human Protein Atlas(HPA)database,TCGA database and Oncomine database.Utilizing LinkedOmics database to distinguish the connection between the expression of FAM107 A and the clinicopathological features of gastric cancer.The effect of FAM107 A expression on the prognosis and survival of patients with gastric cancer was analyzed by using Kaplan-Meier Plotter database.The mutations and protein network of FAM107 A in gastric cancer were analyzed by using cBioportal and String databases.Results HPA database showed,among the normal tissues,the expression of FAM107 A was the highest in the cerebral cortex.The expression of FAM107 A in the stomach was ranked 40 th.Among the tumor tissues,the expression level of FAM107 A was the highest in glioma.The expression of FAM107 A was ranked 9 th in gastric cancer.And FAM107 A protein was mainly detected in the nucleus.The result from Oncomine database showed that 170 studies about the expression of FAM107 A that had difference were statistically significant(all P<0.05).And 157 of 170 indicated under-expression of FAM107 A in many tumor tissues including gastric cancer.At the same time,analysis of 637 different samples from TCGA database showed that FAM107 A was under-expressed in all types of gastric cancer.The expression of FAM107 A in gastric cancer was related to the histological type(P<0.01),pathological stage(P<0.01)and T stage(P<0.01),but had no significant correlation with age,race,and residual cancer(P>0.05).Survival analysis from Kaplan-Meier Plotter database suggested that the overall survival rate was not related with the expression of FAM107 A(P>0.05).Further analysis with cBioportal online tool revealed that only the mutation of FAM107 A in gastric cancer was only one type of missense mutation(E140 K).The proteins interacting with FAM107 A included ETNPPL,SLCO1 C1,GPHA2,TADA2 A,SPARCL1,etc.And they might participate in the cellular function process together.Conclusion FAM107 A is under-expressed in many cancers including gastric cancer.FAM107 A protein is mainly located in the nucleus,and the mutation of FAM107 A in gastric cancer is only one type of missense mutation.The under-expression of FAM107 A is related to some clinicopathological features of gastric cancer and the expression of FAM107 A is not related with the overall survival rate.
作者 曹定 马丹丹 张智勇 袁野 孙康 蔡逊 CAO Ding;MA Dandan;ZHANG Zhiyong;YUAN Ye;SUN Kang;CAI Xun(Wuhan University of Science and Technology Medical School,Wuhan Hubei 430065,China)
出处 《华南国防医学杂志》 CAS 2020年第6期379-384,共6页 Military Medical Journal of South China
基金 湖北省卫生健康委科研联合项目(WJ2019H104)
关键词 FAM107A 胃癌 表达 临床病理特征 FAM107A Gastric cancer Expression Clinicopathological features
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