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Identifying M1-like macrophage related genes for prognosis prediction in lung adenocarcinoma based on a gene co-expression network

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收录情况： ◇ SCIE

作者：
Wang Zhiyuan[1,2] ; Yan Shan[3] ; Yang Ying[2] ; Luo Xuan[1] ; Wang Xiaofang[4] ; Tang Kun[5] ; Zhao Juan[1] ; He Yongwen[6,7,*1] ; Bian Li[2] ;
机构： [1]School of Basic Medicine, Kunming Medical University, Kunming, 650500, China. [2]Department of Pathology, The First Affiliated Hospital of Kunming Medical University, Kunming, 650031, China. [3]Institute of Biomedical Engineering, Kunming Medical University, Kunming, 650031, China. [4]Department of Pathology, The Second Affiliated Hospital of Kunming Medical University, Kunming, 650031, China. [5]Intensive Care Unit, The First Affiliated Hospital of Kunming Medical University, Kunming, 650031, China. [6]School of Stomatology, Kunming Medical University, Kunming, 650021, China. [7]Qujing Medical College, Qujing, 655099, China.
出处：
DOI： 10.1016/j.heliyon.2023.e12798

关键词： Lung adenocarcinoma Macrophages Immune landscape WGCNA Prognostic hub genes

摘要：
Macrophages are one of the most important players in the tumor microenvironment. But the contribution of macrophages to lung adenocarcinoma (LUAD) is still controversial. The current study aimed to display an immune landscape to clarify the function of macrophages and detect prognostic hub genes in LUAD. The transcriptome data were adopted to screen differently expressed genes (DEGs) in The Cancer Genome Atlas database (TCGA). The cell type identification by estimating relative subsets of RNA transcripts (CIBERSORT) algorithm was used to reveal the immune landscape. Weighted gene co-expression network analysis (WGCNA) analysis was performed to identify the hub module associated with macrophages. Function Enrichment analysis was conducted on hub module genes. Moreover, univariate and multivariate Cox regression analyses were performed to identify prognostic hub genes. Kaplan-Meier (KM) and Time-dependent receiver operating characteristic (ROC) curves were plotted to assess the prognostic capacity of the four prognostic hub genes. The GES1196959 dataset from the Gene Expression Omnibus (GEO) database was downloaded to verify the differential expression of the 4 prognostic hub genes.© 2023 Published by Elsevier Ltd.

基金：
National Natural Science Foundation of China [grant number 82060423] and Yunnan Provincial Department of science and Technology-Kunming Medical University applied basic research joint special major project [grant number 202001AY0700 1-007] to L. Bian. Z.Y. Wang was supported by a grant from Yunnan Provincial Department of science and Technology- Kunming Medical University applied basic research joint special general project [grant number 2019FE001(-219)].
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外文
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出版当年[2024]版：
无
最新[2023]版：
大类 | 3 区 综合性期刊
小类 | 3 区 综合性期刊
JCR分区：
出版当年[2023]版：
Q1 MULTIDISCIPLINARY SCIENCES
最新[2023]版：
Q1 MULTIDISCIPLINARY SCIENCES

影响因子： 最新[2023版] 最新五年平均 出版当年[2023版] 出版当年五年平均 出版前一年[2022版]

第一作者：
第一作者机构： [1]School of Basic Medicine, Kunming Medical University, Kunming, 650500, China. [2]Department of Pathology, The First Affiliated Hospital of Kunming Medical University, Kunming, 650031, China.
共同第一作者：
通讯作者：
通讯机构： [6]School of Stomatology, Kunming Medical University, Kunming, 650021, China. [7]Qujing Medical College, Qujing, 655099, China. [*1]School of Stomatology, Kunming Medical University, Kunming, 650021, China.
推荐引用方式(GB/T 7714)：
Wang Zhiyuan,Yan Shan,Yang Ying,et al.Identifying M1-like macrophage related genes for prognosis prediction in lung adenocarcinoma based on a gene co-expression network[J].HELIYON.2023,9(1):e12798.doi:10.1016/j.heliyon.2023.e12798.
APA：
Wang Zhiyuan,Yan Shan,Yang Ying,Luo Xuan,Wang Xiaofang...&Bian Li.(2023).Identifying M1-like macrophage related genes for prognosis prediction in lung adenocarcinoma based on a gene co-expression network.HELIYON,9,(1)
MLA：
Wang Zhiyuan,et al."Identifying M1-like macrophage related genes for prognosis prediction in lung adenocarcinoma based on a gene co-expression network".HELIYON 9..1(2023):e12798

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