ArticleJournal of thoracic disease2018
Identification of the key transcription factors in esophageal squamous cell carcinoma.
Article in Journal of thoracic disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 40 citations in OpenAlex.
- TFAP2A-mediated Transcriptional Activation of ELMO1 Inhibits Ferroptosis and Promotes Esophageal Squamous Cell Carcinoma Progression.Molecular biotechnology · 2026Article
- High Accuracy Stool Biomarkers of Precancerous Colorectal Cancer Identified Using a 2000-Plex Immunoproteomic Screen.Molecular & cellular proteomics : MCP · 2026Article
- TFAP2A facilitates the metastasis and radioresistance of esophageal cancer by promoting EGFR transcription.Naunyn-Schmiedeberg's archives of pharmacology · 2025Article
- Integrated analysis of gene expressions and targeted mirnas for explaining crosstalk between oral and esophageal squamous cell carcinomas through an interpretable machine learning approach.Medical & biological engineering & computing · 2025Article
- Review
- Aberrant methylation of dipeptidyl peptidase‑like 6 as a potential prognostic biomarker for lung adenocarcinoma.Oncology letters · 2023Article
- Biomarkers for Early Detection, Prognosis, and Therapeutics of Esophageal Cancers.International journal of molecular sciences · 2023Review
- Prognostic significance of AP-2α/γ targets as cancer therapeutics.Scientific reports · 2022Article
- Identification of Molecular Subtypes and Potential Small-Molecule Drugs for Esophagus Cancer Treatment Based on mJournal of oncology · 2022Article
- Drug repositioning for esophageal squamous cell carcinoma.Frontiers in genetics · 2022Article
- ZNF354C Mediated by DNMT1 Ameliorates Lung Ischemia-Reperfusion Oxidative Stress Injury by Reducing TFPI Promoter Methylation to Upregulate TFPI.Oxidative medicine and cellular longevity · 2022Article
- Mechanism of methyltransferase like 3 in epithelial-mesenchymal transition process, invasion, and metastasis in esophageal cancer.Bioengineered · 2021Article
- NAD-dependent methylenetetrahydrofolate dehydrogenase inhibits oral squamous cell carcinoma cell proliferation and promotes apoptosis.Translational cancer research · 2021Article
- Alterations in the CaExploration of targeted anti-tumor therapy · 2021Article
- Identification of serum prognostic marker miRNAs and construction of microRNA-mRNA networks of esophageal cancer.PloS one · 2021Article
- Hypoxia-Induced LIN28A mRNA Promotes the Metastasis of Colon Cancer in a Protein-Coding-Independent Manner.Frontiers in cell and developmental biology · 2021Article
- ZNF354C is a transcriptional repressor that inhibits endothelial angiogenic sprouting.Scientific reports · 2020Article
- miR-550a-3/NFIC plays a driving role in esophageal squamous cell cancer cells proliferation and metastasis partly through EMT process.Molecular and cellular biochemistry · 2020Article
- Minichromosome maintenance 6 complex component identified by bioinformatics analysis and experimental validation in esophageal squamous cell carcinoma.Oncology reports · 2020Article
- Hypoxic Tumor-Derived Exosomal Circ0048117 Facilitates M2 Macrophage Polarization Acting as miR-140 Sponge in Esophageal Squamous Cell Carcinoma.OncoTargets and therapy · 2020Article
Corrections and comments
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Authors and funding
9 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEsophageal cancer (EC) is a common human malignancy worldwide. Esophageal squamous cell carcinoma (ESCC) is the predominant subtype in China. The tumorigenesis mechanism in ESCC is unclear. The aim of this study was to identify key transcription factors (TFs) in ESCC and elucidate the mechanism of it.
methodsA total of ten published microarray datasets of ESCC was downloaded from the Gene Expression Omnibus (GEO). Then, bioinformatics analyses including differentially expressed genes (DEGs) analysis, gene ontology (GO) annotation, Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment, TFs-genes regulatory network construction was performed. Quantitative real-time polymerase chain reactions (qRT-PCR) were used to detect the expression levels of TFs and DEGs in ESCC. The association between stage and TFs and the association between survival and TFs were evaluated based on The Cancer Genome Atlas (TCGA), respectively.
resultsA total of 1,248 dysregulated genes were selected as DEGs in ESCC. A total of 26 TFs and corresponding target-genes were identified. The ESCC-specific transcriptional regulatory network was constructed. The network was consisted of 882 edges and 631 nodes.
conclusions
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.