ArticleOncotarget2017
Microarray analyses reveal genes related to progression and prognosis of esophageal squamous cell carcinoma.
Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Temporal Transcriptomic Profiling of NMBA-Induced Rat Esophageal Squamous Carcinogenesis Identifies Early Inflammatory Activation and Late NRF2-Associated Oxidative-Stress Remodeling.International journal of molecular sciences · 2026Article
- Construction and validation of a novel diagnostic model for esophageal squamous cell carcinoma: an integrated analysis of multi-omics data.Frontiers in immunology · 2026Article
- Highly ExpressingJournal of immunology research · 2022Article
- A glycolysis-related gene signature predicts prognosis of patients with esophageal adenocarcinoma.Aging · 2020Article
- Identification of methylated-differentially expressed genes and pathways in esophageal squamous cell carcinoma.Pathology, research and practice · 2020Article
- CYP3A5 suppresses metastasis of lung adenocarcinoma through ATOH8/Smad1 axis.American journal of cancer research · 2020Article
- Screening and identification of key biomarkers in lung squamous cell carcinoma by bioinformatics analysis.Oncology letters · 2019Article
- Identification of novel cell glycolysis related gene signature predicting survival in patients with endometrial cancer.Cancer cell international · 2019Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Esophageal squamous cell carcinoma is a high morbidity and mortality cancer in China. Here are few biomarkers and therapeutic targets. Our study was aimed to identify candidate genes correlated to ESCC. Oncomine, The Cancer Genome Atlas, Gene Expression Omnibus were retrieved for eligible ESCC data. Deregulated genes were identified by meta-analysis and validated by an independent dataset. Survival analyses and bioinformatics analyses were used to explore potential mechanisms. Copy number variant analyses identified upstream mechanisms of candidate genes. In our study, top 200 up/down-regulated genes were identified across two microarrays. A total of 139 different expression genes were validated in GSE53625. Survival analysis found that nine genes were closely related to prognosis. Furthermore, Gene Ontology analyses and Kyoto Encyclopedia of Genes and Genomes analyses showed that different expression genes were mainly enriched in cell division, cell cycle and cell-cell adhesion pathways. Copy number variant analyses indicated that overexpression of
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