基于Oncomine数据库及生物信息学方法分析肝细胞生长因子在多发性骨髓瘤中的表达及作用机制研究

目的:基于Oncomine数据库的基因信息，探讨肝细胞生长因子（HGF）在多发性骨髓瘤（MM）中的表达及作用机制。方法:收集Oncomine数据库中关于HGF研究的信息，对MM中HGF的表达水平变化进行分析。应用Genecards数据库收集与HGF基因相关的蛋白，并通过STRING软件绘制HGF相关蛋白网络图，应用DAVID在线工具分析蛋白功能富集的生理过程。通过DRUGSURV数据库及其在线工具分析HGF表达水平与MM患者生存间的关系，探讨其临床意义。结果:Oncomine数据库中共检索到445项不同肿瘤中关于HGF的研究；其中23项研究显示肿瘤组织与正常组织间HGF表达水平差异有统计学意义（ P<0.05），包括肿瘤组织HGF表达增高10项，表达降低13项。Oncomine数据库中关于MM和正常组织HGF基因差异表达3项研究的4个数据集中，HGF在MM组织中的表达水平均高于正常组织（均 P<0.05）。通过Genecards数据库收集到SDC1、YWHAG、RAF1等25个与HGF相关的蛋白；蛋白功能富集分析显示，这些蛋白主要富集在过氧化氢介导的程序性细胞死亡的负调控、突触可塑性调节、死亡域受体对外源性凋亡信号通路的负调控等过程中，与PI3K-AKT及肿瘤相关通路有关。基于DRUGSURV数据库进行的生存分析显示，HGF高表达和低表达的MM患者总生存率差异无统计学意义（ P>0.05）。 结论:HGF基因可能通过PI3K-AKT通路调节MM细胞的凋亡，在MM的发生、发展中发挥作用。HGF可能是一个潜在的MM标志物，但其在预后判断中的价值需要进一步研究论证。

Study on expression and mechanism of hepatocyte growth factor in multiple myeloma based on Oncomine database and bioinformatics methods

Objective:To investigate the expression and mechanism of hepatocyte growth factor (HGF) in multiple myeloma (MM) based on the gene information in Oncomine database.Methods:Information about HGF study in Oncomine database was collected, and the changes in HGF expression level in MM were analyzed. Genecards database was used to collect HGF gene-related proteins, and STRING software was used to draw HGF-related protein network map. The physiological process of protein function enrichment was analyzed by using DAVID online tools. The relationship between HGF expression level and survival of MM patients was analyzed by using DRUGSURV database and its online tools to explore its clinical significance.Results:A total of 445 studies on HGF in different tumors were collected in Oncomine database. In 23 studies, the difference in HGF expression level between tumor tissues and normal tissues was statistically significant ( P < 0.05), including 10 items of increased HGF expression in tumor tissues and 13 items of decreased HGF expression in tumor tissues. In 4 datasets of 3 studies on the differential expression of HGF gene in MM and normal tissues in Oncomine database, the expression of HGF in MM tissues was higher than that in normal tissues (all P < 0.05). Twenty-five HGF-related proteins were collected in Genecards database, including SDC1, YWHAG, RAF1, etc. Protein function enrichment analysis showed that these proteins were mainly enriched in the negative regulation of hydrogen peroxide-mediated programmed cell death, the regulation of synaptic plasticity, the negative regulation of death domain receptors on extrinsic apoptotic signaling pathways, etc., and they were related to PI3K-AKT and tumor-related pathways. Survival analysis based on DRUGSURV database showed that there was no significant difference in overall survival rate between MM patients with high and low HGF expression ( P > 0.05). Conclusions:HGF gene may regulate the apoptosis of MM cells through PI3K-AKT pathway and play a role in the occurrence and development of MM. HGF may be a potential marker of MM, but its value in prognostic judgment needs further research.