ArticleCancer research2009
Genomic characterization of esophageal squamous cell carcinoma from a high-risk population in China.
Article in Cancer research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
41 citing papers in PubMed, 70 citations in OpenAlex.
- Emerging Biomarkers for Managing Barrett's Esophagus.Gastrointestinal endoscopy clinics of North America · 2026Review
- Aging-associated mechanisms and metabolic vulnerabilities in esophageal carcinoma: an integrative review.Frontiers in cell and developmental biology · 2025Review
- Article
- Molecular subtyping of esophageal squamous cell carcinoma by large-scale transcriptional profiling: Characterization, therapeutic targets, and prognostic value.Frontiers in genetics · 2022Article
- Article
- UBE2T Contributes to the Prognosis of Esophageal Squamous Cell Carcinoma.Pathology oncology research : POR · 2021Article
- Barrett's Esophagus and Esophageal Adenocarcinoma Biomarkers.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2020Article
- SNP rs2240688 inTranslational cancer research · 2020Article
- Landscape of copy number aberrations in esophageal squamous cell carcinoma from a high endemic region of South Africa.BMC cancer · 2020Article
- Hydroxylated-Graphene Quantum Dots Induce DNA Damage and Disrupt Microtubule Structure in Human Esophageal Epithelial Cells.Toxicological sciences : an official journal of the Society of Toxicology · 2018Article
- Genomic and Epigenomic Aberrations in Esophageal Squamous Cell Carcinoma and Implications for Patients.Gastroenterology · 2018Review
- Genome-wide screening for genomic aberrations in Kazakh patients with esophageal squamous cell cancer by comparative genomic hybridization.International journal of clinical and experimental pathology · 2018Article
- RNA editing ofProceedings of the National Academy of Sciences of the United States of America · 2017Article
- A potentially functional polymorphism in ABCG2 predicts clinical outcome of non-small cell lung cancer in a Chinese population.The pharmacogenomics journal · 2017Article
- The loss ofOncology letters · 2017Article
- Genome wide copy number analyses of superficial esophageal squamous cell carcinoma with and without metastasis.Oncotarget · 2017Article
- MIIP expression predicts outcomes of surgically resected esophageal squamous cell carcinomas.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016Article
- Polymorphisms of the Stem Cell Marker Gene CD133 and the Risk of Lung Cancer in Chinese Population.Lung · 2016Article
- Genomic Landscape of Somatic Alterations in Esophageal Squamous Cell Carcinoma and Gastric Cancer.Cancer research · 2016Article
- Amplification and overexpression ofInternational journal of medical sciences · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors at 5 institutions in 2 countries.
Funding
Abstract
Genomic instability plays an important role in most human cancers. To characterize genomic instability in esophageal squamous cell carcinoma (ESCC), we examined loss of heterozygosity (LOH), copy number (CN) loss, CN gain, and gene expression using the Affymetrix GeneChip Human Mapping 500K (n = 30 cases) and Human U133A (n = 17 cases) arrays in ESCC cases from a high-risk region of China. We found that genomic instability measures varied widely among cases and separated them into two groups: a high-frequency instability group (two-thirds of all cases with one or more instability category of > or =10%) and a low-frequency instability group (one-third of cases with instability of <10%). Genomic instability also varied widely across chromosomal arms, with the highest frequency of LOH on 9p (33% of informative single nucleotide polymorphisms), CN loss on 3p (33%), and CN gain on 3q (48%). Twenty-two LOH regions were identified: four on 9p, seven on 9q, four on 13q, two on 17p, and five on 17q. Three CN loss regions-3p12.3, 4p15.1, and 9p21.3-were detected. Twelve CN gain regions were found, including six on 3q, one on 7q, four on 8q, and one on 11q. One of the most gene-rich of these CN gain regions was 11q13.1-13.4, where 26 genes also had RNA expression data available. CN gain was significantly correlated with increased RNA expression in over 80% of these genes. Our findings show the potential utility of combining CN analysis and gene expression data to identify genes involved in esophageal carcinogenesis.
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Registered trials
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