Literature DB >> 29443542

Comprehensive Analysis of DNA Methylation and Gene Expression Datasets Identified MMP9 and TWIST1 as Important Pathogenic Genes of Lung Adenocarcinoma.

Wen Tian1, Yong-Sheng Li1, Jing-Hua Zhang1, Ji-Jun Li1, Jing-Hua Gao1.   

Abstract

Due to the high mortality of lung cancer, early diagnosis followed by early effective treatment is the key to prognosis improvement, which demands to identify the biological targets. Therefore, a multistage screening analysis was used to identify biological targets of lung adenocarcinoma. Two independent datasets of DNA methylation and RNA expression microarray in lung adenocarcinoma and normal lung tissues were chosen from the Gene Expression Omnibus. The association between DNA methylation and gene expression was explored, and the prognostic value of the hub genes was also evaluated. In this study, 8533 differential methylation sites, mostly located in the CpG island region and corresponding to 2754 genes (referred as differential methylation genes), were detected from methylation microarray. Besides, we obtained 830 differential expression genes, including 570 downregulated and 260 upregulated genes, through differential expression analysis. Protein-protein interaction analysis identified CXCL12, GFR, KDR, MMP9, TEK, and TWIST as core nodes, involving in the process of tumor cell identification, cell growth, cytokine secretion, inflammatory response, and angiogenesis. Among them, MMP9 and TWIST1 were identified as more valuable biological targets for the early diagnosis and targeted therapy of lung cancer through Kaplan-Meier analysis of TCGA lung adenocarcinoma datasets. Our study should contribute to the diagnosis and treatment of lung adenocarcinoma.

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Keywords:  DNA methylation; GEO; gene expression; lung adenocarcinoma

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Year:  2018        PMID: 29443542     DOI: 10.1089/dna.2017.4085

Source DB:  PubMed          Journal:  DNA Cell Biol        ISSN: 1044-5498            Impact factor:   3.311


  1 in total

1.  Identification of a Potentially Functional microRNA-mRNA Regulatory Network in Lung Adenocarcinoma Using a Bioinformatics Analysis.

Authors:  Xiao-Jun Wang; Jing Gao; Zhuo Wang; Qin Yu
Journal:  Front Cell Dev Biol       Date:  2021-02-18
  1 in total

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