ArticleScientific reports2020
Identification of candidate aberrantly methylated and differentially expressed genes in Esophageal squamous cell carcinoma.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 27 citations in OpenAlex.
- Advances in multi-omics for esophageal squamous cell carcinoma: diagnostic, prognostic, and therapeutic perspectives.Protein & cell · 2026Review
- Molecular mechanisms of inhalable iron-containing particles driving lung carcinogenesis through theTranslational cancer research · 2026Article
- Construction and validation of a novel diagnostic model for esophageal squamous cell carcinoma: an integrated analysis of multi-omics data.Frontiers in immunology · 2026Article
- Diagnostic and prognostic values of differentially expressed genes in canine mammary carcinoma: An integrated bioinformatics analysis.PloS one · 2026Article
- Improved circulating tumor DNA identification for detection of esophageal squamous cell carcinoma by enzymatic methyl sequencing and hybrid neural network.Scientific reports · 2025Article
- Activin A Secreted by Cancer-Associated Fibroblasts Reduces the Sensitivity of Breast Cancer Cells to Ixazomib via Inhibition of Proteasome Activity.Biomolecules · 2025Article
- Probing the microRNA landscape in cadmium chloride induced renal toxicity through an in silico approach.Scientific reports · 2025Article
- Kinesin family member 14 in digestive tract malignancies: Oncogenic mechanisms, clinical implications, and therapeutic prospects.World journal of gastrointestinal oncology · 2025Article
- Oncogenic and tumor-suppressive roles of Lipocalin 2 (LCN2) in tumor progression.Oncology research · 2025Review
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- Identification of candidate aberrant differentially methylated/expressed genes in asthma.Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology · 2022Article
- Role of kinesin family member 14 in disease monitoring and prognosis in patients with gastrointestinal cancer.Oncology letters · 2022Article
- Oxethazaine inhibits esophageal squamous cell carcinoma proliferation and metastasis by targeting aurora kinase A.Cell death & disease · 2022Article
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- Overexpression of cyclin-dependent kinase 1 in esophageal squamous cell carcinoma and its clinical significance.FEBS open bio · 2021Article
- Cyclin-dependent kinase inhibitors in head and neck cancer and glioblastoma-backbone or add-on in immune-oncology?Cancer metastasis reviews · 2021Review
- Dysregulation of KIF14 regulates the cell cycle and predicts poor prognosis in cervical cancer: a study based on integrated approaches.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2021Article
- Screening of Crucial Differentially-Methylated/Expressed Genes for Alzheimer's Disease.American journal of Alzheimer's disease and other dementiasArticle
Corrections and comments
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Authors and funding
10 authors at 6 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aberrant methylated genes (DMGs) play an important role in the etiology and pathogenesis of esophageal squamous cell carcinoma (ESCC). In this study, we aimed to integrate three cohorts profile datasets to ascertain aberrant methylated-differentially expressed genes and pathways associated with ESCC by comprehensive bioinformatics analysis. We downloaded data of gene expression microarrays (GSE20347, GSE38129) and gene methylation microarrays (GSE52826) from the Gene Expression Omnibus (GEO) database. Aberrantly differentially expressed genes (DEGs) were obtained by GEO2R tool. The David database was then used to perform Gene ontology (GO) analysis and Kyoto Encyclopedia of Gene and Genome pathway enrichment analyses on selected genes. STRING and Cytoscape software were used to construct a protein-protein interaction (PPI) network, then the modules in the PPI networks were analyzed with MCODE and the hub genes chose from the PPI networks were verified by Oncomine and TCGA database. In total, 291 hypomethylation-high expression genes and 168 hypermethylation-low expression genes were identified at the screening step, and finally found six mostly changed hub genes including KIF14, CDK1, AURKA, LCN2, TGM1, and DSG1. Pathway analysis indicated that aberrantly methylated DEGs mainly associated with the P13K-AKT signaling, cAMP signaling and cell cycle process. After validation in multiple databases, most hub genes remained significant. Patients with high expression of AURKA were associated with shorter overall survival. To summarize, we have identified six feasible aberrant methylated-differentially expressed genes and pathways in ESCC by bioinformatics analysis, potentially providing valuable information for the molecular mechanisms of ESCC. Our data combined the analysis of gene expression profiling microarrays and gene methylation profiling microarrays, simultaneously, and in this way, it can shed a light for screening and diagnosis of ESCC in future.
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