ArticleCancer control : journal of the Moffitt Cancer Center
Identification of Key Modules and Hub Genes Involved in Esophageal Squamous Cell Carcinoma Tumorigenesis Using WCGNA.
Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 22 citations in OpenAlex.
- YY1-induced DDX18 modulates EMT via the AKT/mTOR pathway in esophageal cancer: a novel therapeutic target.Journal of translational medicine · 2025Article
- Machine learning-based integration reveals reliable biomarkers and potential mechanisms of NASH progression to fibrosis.Scientific reports · 2025Article
- Validation of Biomarkers and Immunotherapy With Crohn's Disease Using WGCNA and Two-Sample Mendelian Randomization Study.Gastroenterology research and practice · 2025Article
- VOPP1 as a Novel Susceptibility Gene in Rheumatoid Arthritis: Insights Into Its Mechanisms From Mendelian Randomization and Experimental Validation.Journal of inflammation research · 2025Article
- WD Repeat and HMG Box DNA Binding Protein 1: An Oncoprotein at the Hub of Tumorigenesis and a Novel Therapeutic Target.International journal of molecular sciences · 2023Review
- DNA 6mA demethylase ALKBH1 regulates DDX18 expression to promote proliferation of human head and neck squamous cell carcinoma.Cellular oncology (Dordrecht, Netherlands) · 2023Article
- Gene signature of m6A-related targets to predict prognosis and immunotherapy response in ovarian cancer.Journal of cancer research and clinical oncology · 2023Article
- PRR11 in Malignancies: Biological Activities and Targeted Therapies.Biomolecules · 2022Review
- Stemness-related gene signature for predicting therapeutic response in patients with esophageal cancer.Translational cancer research · 2022Article
- Identification and validation of glomerulotubular crosstalk genes mediating IgA nephropathy by integrated bioinformatics.BMC nephrology · 2022Article
- Increased expression of NCAPG (Non-SMC condensing I complex subunit G) is associated with progression and poor prognosis of lung adenocarcinoma.Bioengineered · 2022Article
- Synthetic lethal interactions of DEAD/H-box helicases as targets for cancer therapy.Frontiers in oncology · 2022Review
- Construction of a Prognosis-Related Gene Signature by Weighted Gene Coexpression Network Analysis in Ewing Sarcoma.Computational and mathematical methods in medicine · 2022Article
- The Involvement of WDHD1 in the Occurrence of Esophageal Cancer as a Downstream Target of PI3K/AKT Pathway.Journal of oncology · 2022Review
- ZKSCAN5 ActivatesFrontiers in oncology · 2022Article
- Article
- Long non-coding RNA OIP5-AS1 promotes the progression of esophageal cancer by regulating miR-30a/VOPP1 expression.Oncology letters · 2021Article
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe mechanistic basis for the development of esophageal squamous cell carcinoma (ESCC) remains poorly understood. The goal of the present study was thus to characterize mRNA and long noncoding RNA (lncRNA) expression profiles associated with ESCC in order to identify key hub genes associated with the pathogenesis of this cancer. MATERIALS AND
methodsThe GSE26866 and GSE45670 datasets from the Gene Expression Omnibus (GEO) database were used to conduct a weighted gene co-expression network analysis (WGCNA), after which Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted. Cytoscape was additionally used to construct lncRNA-mRNA networks, after which hub genes were identified and validated through the assessment of TCGA datasets and clinical samples.
resultsTwo gene modules were found to be closely linked to ESCC tumorigenesis. These genes were enriched in cell cycle, MAPK signaling, JAK-STAT signaling, pyrimidine metabolism, arachidonic acid metabolism, and P53 signaling pathway activity, all of which are directly linked with the development of cancer. In total, we identified and validated 9 hub genes associated with ESCC (DDX18, DNMT1, NCAPG, WDHD1, PRR11, VOPP1, ZKSCAN5, LC35C2, and PHACTR2).
conclusionIn summary, we identified key gene modules and hub genes associated with ESCC development, and we constructed a lncRNA-mRNA network pertaining to this cancer type. These results provide a foundation for future research regarding the mechanistic basis of ESCC.
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