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作者:

Guo, Tingting (Guo, Tingting.) | Ma, Hongtao (Ma, Hongtao.) | Zhou, Yubai (Zhou, Yubai.)

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摘要:

Background: Lung adenocarcinoma (LUAD) is the major subtype of lung cancer and the most lethal malignant disease worldwide. However, the molecular mechanisms underlying LUAD are not fully understood. Methods: Four datasets (GSE118370, GSE85841, GSE43458 and GSE32863) were obtained from the gene expression omnibus (GEO). Identification of differentially expressed genes (DEGs) and functional enrichment analysis were performed using the limma and clusterProfiler packages, respectively. A protein-protein interaction (PPI) network was constructed via Search Tool for the Retrieval of Interacting Genes (STRING) database, and the module analysis was performed by Cytoscape. Then, overall survival analysis was performed using the Kaplan-Meier curve, and prognostic candidate biomarkers were further analyzed using the Oncomine database. Results: Totally, 349 DEGs were identified, including 275 downregulated and 74 upregulated genes which were significantly enriched in the biological process of extracellular structure organization, leukocyte migration and response to peptide. The mainly enriched pathways were complement and coagulation cascades, malaria and prion diseases. By extracting key modules from the PPI network, 11 hub genes were screened out. Survival analysis showed that except VSIG4, other hub genes may be involved in the development of LUAD, in which MYH10, METTL7A, FCER1G and TMOD1 have not been reported previously to correlated with LUAD. Briefly, novel hub genes identified in this study will help to deepen our understanding of the molecular mechanisms of LUAD carcinogenesis and progression, and to discover candidate targets for early detection and treatment of LUAD.

关键词:

Bioinformatical analysis Biomarker Differentially expressed genes Lung adenocarcinoma Microarray

作者机构:

  • [ 1 ] [Guo, Tingting]Beijing Univ Technol, Coll Life Sci & Bioengn, Dept Biotechnol, Beijing, Peoples R China
  • [ 2 ] [Ma, Hongtao]Beijing Univ Technol, Coll Life Sci & Bioengn, Dept Biotechnol, Beijing, Peoples R China
  • [ 3 ] [Zhou, Yubai]Beijing Univ Technol, Coll Life Sci & Bioengn, Dept Biotechnol, Beijing, Peoples R China

通讯作者信息:

  • [Zhou, Yubai]Beijing Univ Technol, Coll Life Sci & Bioengn, Dept Biotechnol, Beijing, Peoples R China

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来源 :

PEERJ

ISSN: 2167-8359

年份: 2019

卷: 7

2 . 7 0 0

JCR@2022

ESI学科: Multidisciplinary;

ESI高被引阀值:101

JCR分区:2

被引次数:

WoS核心集被引频次: 38

SCOPUS被引频次: 38

ESI高被引论文在榜: 0 展开所有

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