ArticleCancer cell international2019
Identification of hub genes and therapeutic drugs in esophageal squamous cell carcinoma based on integrated bioinformatics strategy.
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 21 papers, 1 of them a synthesis that pooled it.
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Who cites it
21 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.
- Common gene signatures and key pathways in hypopharyngeal and esophageal squamous cell carcinoma: Evidence from bioinformatic analysis.Medicine · 2020Pooled it
- TGIF2-mediated HMGB3 overexpression promotes esophageal squamous cell carcinoma proliferation and metastasis through TLR3/TGF-β signaling.Genes & diseases · 2026Article
- NDC80 promotes epithelial to mesenchymal transition of esophageal squamous cell carcinoma through macrophages polarization and PI3K/AKT pathway activation.European journal of medical research · 2025Article
- Expression of kinetochore component NDC80 promotes esophageal squamous cell carcinoma cells proliferation and migration.BMC gastroenterology · 2025Article
- Screening and verification of hub genes in esophageal squamous cell carcinoma by integrated analysis.Scientific reports · 2024Article
- Article
- Systems biology approach: identification of hub genes, signaling pathways, and molecular docking of COL1A1 gene in cervical insufficiency.In silico pharmacology · 2024Article
- Transcriptome profiling and analysis of patients with esophageal squamous cell carcinoma from Kazakhstan.Frontiers in genetics · 2024Article
- Exploring the hub genes and mechanisms of Daphne altaica treating esophageal squamous cell carcinoma based on network pharmacology and bioinformatics analysis.Journal of cancer research and clinical oncology · 2023Article
- Nerves in gastrointestinal cancer: from mechanism to modulations.Nature reviews. Gastroenterology & hepatology · 2022Review
- Esophageal squamous cell carcinoma: Integrated bioinformatics analysis for differential gene expression with identification of hub genes and lncRNA.Biochemistry and biophysics reports · 2022Article
- The protein-protein interaction network of intestinal gastric cancer patients reveals hub proteins with potential prognostic value.Cancer biomarkers : section A of Disease markers · 2022Article
- COL11A1 promotes esophageal squamous cell carcinoma proliferation and metastasis and is inversely regulated by miR-335-5p.Annals of translational medicine · 2021Article
- A network-biology approach for identification of key genes and pathways involved in malignant peritoneal mesothelioma.Genomics & informatics · 2021Article
- Prognostic biomarkers and therapeutic targets in oral squamous cell carcinoma: a study based on cross-database analysis.Hereditas · 2021Article
- Identification of four genes and biological characteristics of esophageal squamous cell carcinoma by integrated bioinformatics analysis.Cancer cell international · 2021Article
- Identification of key biomarkers and functional pathways in osteosarcomas with lung metastasis: Evidence from bioinformatics analysis.Medicine · 2021Article
- Common Genes Involved in Autophagy, Cellular Senescence and the Inflammatory Response in AMD and Drug Discovery Identified via Biomedical Databases.Translational vision science & technology · 2021Article
- Time series expression pattern of key genes reveals the molecular process of esophageal cancer.Bioscience reports · 2020Article
- Integrated bioinformatics analysis for the screening of hub genes and therapeutic drugs in ovarian cancer.Journal of ovarian research · 2020Article
Corrections and comments
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Authors and funding
13 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundEsophageal squamous cell carcinoma (ESCC) is one of leading malignant cancers of gastrointestinal tract worldwide. Until now, the involved mechanisms during the development of ESCC are largely unknown. This study aims to explore the driven-genes and biological pathways in ESCC.
methodsmRNA expression datasets of GSE29001, GSE20347, GSE100942, and GSE38129, containing 63 pairs of ESCC and non-tumor tissues data, were integrated and deeply analyzed. The bioinformatics approaches include identification of differentially expressed genes (DEGs) and hub genes, gene ontology (GO) terms analysis and biological pathway enrichment analysis, construction and analysis of protein-protein interaction (PPI) network, and miRNA-gene network construction. Subsequently, GEPIA2 database and qPCR assay were utilized to validate the expression of hub genes. DGIdb database was performed to search the candidate drugs for ESCC.
resultsFinally, 120 upregulated and 26 downregulated DEGs were identified. The functional enrichment of DEGs in ESCC were mainly correlated with cell cycle, DNA replication, deleted in colorectal cancer (DCC) mediated attractive signaling pathway, and Netrin-1 signaling pathway. The PPI network was constructed using STRING software with 146 nodes and 2392 edges. The most significant three modules in PPI were filtered and analyzed. Totally ten genes were selected and considered as the hub genes and nuclear division cycle 80 (NDC80) was closely related to the survival of ESCC patients. DGIdb database predicted 33 small molecules as the possible drugs for treating ESCC.
conclusionsIn summary, the data may provide new insights into ESCC pathogenesis and treatments. The candidate drugs may improve the efficiency of personalized therapy in future.
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