ArticleMolecules (Basel, Switzerland)2018
Network-Based Differential Analysis to Identify Molecular Features of Tumorigenesis for Esophageal Squamous Carcinoma.
Article in Molecules (Basel, Switzerland), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 18 citations in OpenAlex.
- Prognostic biomarkers related to PANoptosis in esophageal cancer and their immune microenvironment: multi-omics analysis and therapeutic significance.Frontiers in oncology · 2026Article
- Clinical Utility of IFIT Proteins in Human Malignancies.Biomedicines · 2025Review
- IFIT3: a crucial mediator in innate immunity and tumor progression with therapeutic implications.Frontiers in immunology · 2025Review
- The expression and prognostic value ofTranslational cancer research · 2024Article
- Molecular mechanism detection of stage I to stage II transition of esophageal squamous cell carcinoma: a system biology approach.Gastroenterology and hepatology from bed to bench · 2024Article
- Article
- Discovery of Anticancer Activity of Amentoflavone on Esophageal Squamous Cell Carcinoma: Bioinformatics, Structure-Based Virtual Screening, and Biological Evaluation.Journal of microbiology and biotechnology · 2022Article
- Gel-Based Proteomic Identification of Suprabasin as a Potential New Candidate Biomarker in Endometrial Cancer.International journal of molecular sciences · 2022Article
- Suprabasin: Role in human cancers and other diseases.Molecular biology reports · 2022Review
- The Genomic Landscape of Actinic Keratosis.The Journal of investigative dermatology · 2021Article
- Suprabasin-A Review.Genes · 2021Review
- Mutational Characterization and Potential Prognostic Biomarkers of Chinese Patients with Esophageal Squamous Cell Carcinoma.OncoTargets and therapy · 2020Article
- Prognostic nomogram integrated baseline serum lipids for patients with non-esophageal squamous cell carcinoma.Annals of translational medicine · 2019Article
- Novel drug candidates for treating esophageal carcinoma: A study on differentially expressed genes, using connectivity mapping and molecular docking.International journal of oncology · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Esophageal cancer has a poor prognosis and high mortality rate across the world. The diagnosis and treatment of esophageal cancer are hindered by the limited knowledge about the pathogenesis mechanisms of esophageal cancer. Esophageal cancer has two major subtypes, squamous and adenocarcinoma. In this work, we proposed a method to select candidate biomarkers of esophageal squamous carcinoma based on the topological differential analysis between the gene-gene interaction networks for esophageal squamous carcinoma and normal cells. We established the gene-gene interaction networks for esophageal squamous carcinoma and normal based on the correlation of genes. For each gene, we firstly calculated and compared five centrality measures, which could reflect the topological property of a network. According to five centrality measures, the genes with large differences between the two networks were regarded as candidate biomarkers for esophageal squamous carcinoma. A total of 21 candidate biomarkers were identified for esophageal squamous carcinoma, and seven of them have been confirmed to be biomarkers of esophageal-12 squamous carcinoma by previous research. In addition, six genes (
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