Time series expression pattern of key genes reveals the molecular process of esophageal cancer

Autor: Jiafu Wang, Yurong Sun, Xiang Xie
Rok vydání: 2020
Předmět:
Time Factors
ERBB signaling pathway
Esophageal Neoplasms
Biophysics
Biochemistry
Molecular Bases of Health & Disease
Growth factor receptor binding
Gene interaction
Cell Line
Tumor
GTP-Binding Protein gamma Subunits
Databases
Genetic
medicine
Humans
Gene Regulatory Networks
esophageal cancer
Epidermal growth factor receptor
Molecular Biology
Transcription factor
Research Articles
Adaptor Proteins
Signal Transducing
Neoplasm Staging
Cancer
Molecular Interactions
biology
Gene Expression Profiling
gene interaction module
Cell Biology
DNA Methylation
Esophageal cancer
medicine.disease
regulatory factors
Gene Expression Regulation
Neoplastic
HIF1A
Disease Progression
Cancer research
biology.protein
methylation
Signal transduction
Somatostatin
Transcriptome
Signal Transduction
Transcription Factors
Zdroj: Bioscience Reports
ISSN: 1573-4935
0144-8463
DOI: 10.1042/bsr20191985
Popis: Background: Esophageal cancer is one of the most poorly diagnosed and fatal cancers in the world. Although a series of studies on esophageal cancer have been reported, the molecular pathogenesis of the disease is still elusive. Aim: To investigate the molecular process of esophageal cancer comprehensively and deeply. Methods: Differential expression analysis was performed to identify differentially expressed genes (DEGs) in different stages of esophageal cancer. Then exacting gene interaction modules and hub genes were identified in module interaction network. Further, though survival analysis, methylation analysis, pivot analysis, and enrichment analysis, some important molecules and related function or pathway were identified to elucidate potential mechanism in esophageal cancer. Results: A total of 7457 DEGs and 14 gene interaction modules were identified. These module genes were significantly involved in the positive regulation of protein transport, gastric acid secretion, insulin-like growth factor receptor binding and other biological processes (BPs), as well as p53 signaling pathway, ERBB signaling pathway and epidermal growth factor receptor (EGFR) signaling pathway. Then, transcription factors (TFs) (including HIF1A) and ncRNAs (including CRNDE and hsa-mir-330-3p) significantly regulate dysfunction modules were identified. Further, survival analysis showed that GNGT2 was closely related to survival of esophageal cancer. And DEGs with strong methylation regulation ability were identified, including SST and SH3GL2. Conclusion: These works not only help us to reveal the potential regulatory factors in the development of disease, but also deepen our understanding of its deterioration mechanism.
Databáze: OpenAIRE
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