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- Title
Comprehensive Analysis of DNA Methylation and Gene Expression Datasets Identified <italic>MMP9</italic> and <italic>TWIST1</italic> as Important Pathogenic Genes of Lung Adenocarcinoma.
- Authors
Tian, Wen; Li, Yong-sheng; Zhang, Jing-hua; Li, Ji-jun; Gao, Jing-hua
- 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 <italic>CXCL12</italic>, <italic>GFR</italic>, <italic>KDR</italic>, <italic>MMP9</italic>, <italic>TEK</italic>, and <italic>TWIST</italic> as core nodes, involving in the process of tumor cell identification, cell growth, cytokine secretion, inflammatory response, and angiogenesis. Among them, <italic>MMP9</italic> and <italic>TWIST1</italic> 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.
- Subjects
DNA methylation; GENE expression; ADENOCARCINOMA; LUNG cancer; CELL growth; NEOVASCULARIZATION
- Publication
DNA & Cell Biology, 2018, Vol 37, Issue 4, p336
- ISSN
1044-5498
- Publication type
Article
- DOI
10.1089/dna.2017.4085