ArticleCancer cell international2019
Identification of DNA methylation-driven genes in esophageal squamous cell carcinoma: a study based on The Cancer Genome Atlas.
Article in Cancer cell international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.
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Who cites it
37 citing papers in PubMed, 56 citations in OpenAlex.
- Understanding the Epigenetic Landscape of Barrett's Esophagus and Esophageal Cancer: A Review of Current Findings, Caveats and Future Directions.Genes, chromosomes & cancer · 2026Review
- Advances in multi-omics for esophageal squamous cell carcinoma: diagnostic, prognostic, and therapeutic perspectives.Protein & cell · 2026Review
- Machine learning framework for mRNA alternative splicing analysis identifies a signature of progression in colorectal adenocarcinoma.Scientific reports · 2026Article
- Value of circulating free DNA methylation in the diagnosis of esophageal cancer: A systematic review and meta-analysis.Oncology letters · 2025Article
- DNA methylation in esophageal cancer: technological advances and early detection clinical applications.Frontiers in oncology · 2025Review
- Epigenetic reprogramming in gastrointestinal cancer: biology and translational perspectives.MedComm · 2024Review
- Analysis of methylation-driven genes for predicting the prognosis of patients with oral squamous cell carcinoma.Translational cancer research · 2024Article
- Article
- Detection of Prognostic Biomarkers for Hepatocellular Carcinoma through CircRNA-associated CeRNA Analysis.Journal of clinical and translational hepatology · 2022Article
- FBXO17 Inhibits the Wnt/β-Catenin Pathway and Proliferation of Ishikawa Cells.International journal of medical sciences · 2022Article
- Identification of DNA methylation-driven genes and construction of a nomogram to predict overall survival in pancreatic cancer.BMC genomics · 2021Article
- Genomic and epigenomic evolution of acquired resistance to combination therapy in esophageal squamous cell carcinoma.JCI insight · 2021Article
- Article
- Classification of Homo sapiens gene behavior using linear discriminant analysis fused with minimum entropy mapping.Medical & biological engineering & computing · 2021Article
- Systematic analysis of the expression and prognosis relevance of FBXO family reveals the significance of FBXO1 in human breast cancer.Cancer cell international · 2021Article
- Six Novel Biomarkers for Diagnosis and Prognosis of Esophageal squamous cell carcinoma: validated by scRNA-seq and qPCR.Journal of Cancer · 2021Article
- G9a Regulates Cell Sensitivity to Radiotherapy via Histone H3 Lysine 9 Trimethylation and CCDC8 in Lung Cancer.OncoTargets and therapy · 2021Article
- DNA methylation markers in esophageal cancer: an emerging tool for cancer surveillance and treatment.American journal of cancer research · 2021Review
- Evaluation of the Impact of Intratumoral Heterogeneity of Esophageal Cancer on Pathological Diagnosis and P16 Methylation and the Representativity of Endoscopic Biopsy.Frontiers in oncology · 2021Article
- A model for predicting prognosis in patients with esophageal squamous cell carcinoma based on joint representation learning.Oncology letters · 2020Article
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Authors and funding
11 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAberrant DNA methylations are significantly associated with esophageal squamous cell carcinoma (ESCC). In this study, we aimed to investigate the DNA methylation-driven genes in ESCC by integrative bioinformatics analysis.
methodsData of DNA methylation and transcriptome profiling were downloaded from TCGA database. DNA methylation-driven genes were obtained by methylmix R package. David database and ConsensusPathDB were used to perform gene ontology (GO) analysis and pathway analysis, respectively. Survival R package was used to analyze overall survival analysis of methylation-driven genes.
resultsTotally 26 DNA methylation-driven genes were identified by the methylmix, which were enriched in molecular function of DNA binding and transcription factor activity. Then, ABCD1, SLC5A10, SPIN3, ZNF69, and ZNF608 were recognized as significant independent prognostic biomarkers from 26 methylation-driven genes. Additionally, a further integrative survival analysis, which combined methylation and gene expression data, was identified that ABCD1, CCDC8, FBXO17 were significantly associated with patients' survival. Also, multiple aberrant methylation sites were found to be correlated with gene expression.
conclusionIn summary, we studied the DNA methylation-driven genes in ESCC by bioinformatics analysis, offering better understand of molecular mechanisms of ESCC and providing potential biomarkers precision treatment and prognosis detection.
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