Identification of GMFG as a novel biomarker in IgA nephropathy based on comprehensive bioinformatics analysis

作者全名：Deng, Xiaoqi; Luo, Yu; Lu, Meiqi; Lin, Yun; Ma, Li

作者地址：[Deng, Xiaoqi; Lin, Yun; Ma, Li] Zigong Fourth Peoples Hosp, Dept Nephrol, Zigong 643000, Sichuan, Peoples R China; [Luo, Yu] Chongqing Med Univ, Chongqing 400000, Peoples R China; [Lu, Meiqi] Xiamen Univ, Sch Med, Xiamen 361000, Peoples R China

通信作者：Ma, L (通讯作者)，Zigong Fourth Peoples Hosp, Dept Nephrol, Zigong 643000, Sichuan, Peoples R China.

来源：HELIYON

ESI学科分类：　

WOS号：WOS:001224796800001

JCR分区：Q1

影响因子：3.4

年份：2024

卷号：10

期号：7

开始页：　

结束页：　

文献类型：Article

关键词：IgA nephropathy (IgAN); Biomarker; Pan-cancer analysis; GMFG; Weighted gene co-expression network (WGCNA); Machine learning

摘要：Background: IgA nephropathy (IgAN) stands as the most prevalent form of glomerulonephritis and ranks among the leading causes of end-stage renal disease worldwide. Regrettably, we continue to grapple with the absence of dependable diagnostic markers and specific therapeutic agents for IgAN. Therefore, this study endeavors to explore novel biomarkers and potential therapeutic targets in IgAN, while also considering their relevance in the context of tumors. Methods: We gathered IgAN datasets from the Gene Expression Omnibus (GEO) database. Subsequently, leveraging these datasets, we conducted an array of analyses, encompassing differential gene expression, weighted gene co-expression network analysis (WGCNA), machine learning, receiver operator characteristic (ROC) curve analysis, gene expression validation, clinical correlations, and immune infiltration. Finally, we carried out pan-cancer analysis based on hub gene. Results: We obtained 1391 differentially expressed genes (DEGs) in GSE93798 and 783 DGEs in GSE14795, respectively. identifying 69 common genes for further investigation. Subsequently, GMFG was identified the hub gene based on machine learning. In the verification set and the training set, the GMFG was higher in the IgAN group than in the healthy group and all of the GMFG area under the curve (AUC) was more 0.8. In addition, GMFG has a close relationship with the prognosis of malignancies and a range of immune cells. Conclusions: Our study suggests that GMFG could serve as a promising novel biomarker and potential therapeutic target for both IgAN and certain types of tumors.

基金机构：Zigong City Health Commission project [20yb001]

基金资助正文：This work was supported by Zigong City Health Commission project [Grant No. 20yb001] .