Study on expression and mechanism of hepatocyte growth factor in multiple myeloma based on Oncomine database and bioinformatics methods
10.3760/cma.j.cn115356-20201110-00270
- VernacularTitle: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
- Author:
Meiling ZHOU
1
;
Yuexin CHENG
;
Yaodong SHEN
Author Information
1. 南通大学第四附属医院 盐城市第一人民医院血液科，江苏 盐城 224006
- Keywords:
Multiple myeloma;
Hepatocyte growth factor;
Oncomine database;
Prognosis
- From:
Journal of Leukemia & Lymphoma
2021;30(6):329-333
- CountryChina
- Language:Chinese
-
Abstract:
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.
