ArticleOncogene2007
Gene expression analysis of early and advanced gastric cancers.
Article in Oncogene, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.
What it found
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Who cites it
40 citing papers in PubMed.
- Machine learning identifies activation of RUNX/AP-1 as drivers of mesenchymal and fibrotic regulatory programs in gastric cancer.Genome research · 2024Article
- Lipid Metabolism-Related Gene Signature Predicts Prognosis and Indicates Immune Microenvironment Infiltration in Advanced Gastric Cancer.Gastroenterology research and practice · 2024Article
- Single-cell transcriptomic analysis reveals crucial oncogenic signatures and its associative cell types involved in gastric cancer.Medical oncology (Northwood, London, England) · 2023Article
- Network and functional analyses of differentially expressed genes in gastric cancer provide new biomarkers associated with disease pathogenesis.Journal of the Egyptian National Cancer Institute · 2023Article
- Reduced DEFA5 Expression and STAT3 Activation Underlie the Submucosal Invasion of Early Gastric Cancers.Digestion · 2023Article
- Identification of lncRNA and mRNA regulatory networks associated with gastric cancer progression.Frontiers in oncology · 2023Article
- R-spondin/YAP axis promotes gastric oxyntic gland regeneration and Helicobacter pylori-associated metaplasia in mice.The Journal of clinical investigation · 2022Article
- Iqgap3-Ras axis drives stem cell proliferation in the stomach corpus during homoeostasis and repair.Gut · 2021Article
- Assessment of the Diagnostic Efficiency of a Liquid Biopsy Assay for Early Detection of Gastric Cancer.JAMA network open · 2021Article
- The effect of normal, metaplastic, and neoplastic esophageal extracellular matrix upon macrophage activation.Journal of immunology and regenerative medicine · 2021Article
- Centromere protein U enhances the progression of bladder cancer by promoting mitochondrial ribosomal protein s28 expression.The Korean journal of physiology & pharmacology : official journal of the Korean Physiological Society and the Korean Society of Pharmacology · 2021Article
- Prediction and analysis of hub genes between glioblastoma and low-grade glioma using bioinformatics analysis.Medicine · 2021Article
- Distinct Murine Pancreatic Transcriptomic Signatures during Chronic Pancreatitis Recovery.Mediators of inflammation · 2021Article
- Establishment of an immune-related gene pair model to predict colon adenocarcinoma prognosis.BMC cancer · 2020Article
- Expression, Location, Clinical Implication, and Bioinformatics Analysis of RNASET2 in Gastric Adenocarcinoma.Frontiers in oncology · 2020Article
- Systems Biology of Gastric Cancer: Perspectives on the Omics-Based Diagnosis and Treatment.Frontiers in molecular biosciences · 2020Review
- Identification of FADS1 Through Common Gene Expression Profiles for Predicting Survival in Patients with Bladder Cancer.Cancer management and research · 2020Article
- Association of CXCL13 and Immune Cell Infiltration Signature in Clear Cell Renal Cell Carcinoma.International journal of medical sciences · 2020Article
- Ventricular Zone Expressed PH Domain Containing 1 (VEPH1): an adaptor protein capable of modulating multiple signaling transduction pathways during normal and pathological development.Cell communication and signaling : CCS · 2019Review
- Lung-Seeking Metastases.Cancers · 2019Review
Corrections and comments
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric carcinoma is one of the major causes of cancer mortality worldwide. Early detection results in excellent prognosis for patients with early cancer (EGC), whereas the prognosis of advanced cancer (AGC) patients remains poor. It is not clear whether EGC and AGC are molecularly distinct, and whether they represent progressive stages of the same tumor or different entities ab initio. Gene expression profiles of EGC and AGC were determined by Affymetrix technology and quantitative polymerase chain reaction. Representative regulated genes were further analysed by in situ hybridization (ISH) on tissue microarrays. Expression analysis allowed the identification of a signature that differentiates AGC from EGC. In addition, comparison with normal gastric mucosa indicated that the majority of alterations associated with EGC are retained in AGC, and that further expression changes mark the transition from EGC to AGC. Finally, ISH analysis showed that representative genes, differentially expressed in the invasive areas of EGC and AGC, are not differentially expressed in the non-invasive areas of the same tumors. Our data are more directly compatible with a progression model of gastric carcinogenesis, whereby EGC and AGC may represent different molecular stages of the same tumor. Finally, the identification of an AGC-specific signature might help devising novel therapeutic strategies for advanced gastric cancer.
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Registered trials
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