ArticleInternational journal of cancer2019
Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction.
Article in International journal of cancer, 2019. 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.
- Exploring the origins of esophagogastric junction cancer through omics: A focus on the Siewert II subclassification.Surgery today · 2026Review
- Identification of biomarkers associated with diagnosis of gastroesophageal junction adenocarcinoma and their correlation with immune infiltration.Discover oncology · 2026Article
- Article
- Identification of immune subtypes associated with CD8+ T cell-related genes providing new treatment strategies of esophageal carcinoma.Frontiers in immunology · 2025Article
- Current development of molecular classifications of gastric cancer based on omics (Review).International journal of oncology · 2024Review
- Article
- Surgical pathology of adenocarcinomas arising around or within the gastroesophageal junction.Updates in surgery · 2023Review
- Article
- FOXO transcriptional activity is associated with response to chemoradiation in EAC.Journal of translational medicine · 2022Article
- Article
- The Prognostic Impact of Histology in Esophageal and Esophago-Gastric Junction Adenocarcinoma.Cancers · 2021Article
- Review
- Article
- Immune Infiltration Subtypes Characterization and Identification of Prognosis-Related lncRNAs in Adenocarcinoma of the Esophagogastric Junction.Frontiers in immunology · 2021Article
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20 authors.
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Abstract
Cancers occurring at the gastroesophageal junction (GEJ) are classified as predominantly esophageal or gastric, which is often difficult to decipher. We hypothesized that the transcriptomic profile might reveal molecular subgroups which could help to define the tumor origin and behavior beyond anatomical location. The gene expression profiles of 107 treatment-naïve, intestinal type, gastroesophageal adenocarcinomas were assessed by the Illumina-HTv4.0 beadchip. Differential gene expression (limma), unsupervised subgroup assignment (mclust) and pathway analysis (gage) were undertaken in R statistical computing and results were related to demographic and clinical parameters. Unsupervised assignment of the gene expression profiles revealed three distinct molecular subgroups, which were not associated with anatomical location, tumor stage or grade (p > 0.05). Group 1 was enriched for pathways involved in cell turnover, Group 2 was enriched for metabolic processes and Group 3 for immune-response pathways. Patients in group 1 showed the worst overall survival (p = 0.019). Key genes for the three subtypes were confirmed by immunohistochemistry. The newly defined intrinsic subtypes were analyzed in four independent datasets of gastric and esophageal adenocarcinomas with transcriptomic data available (RNAseq data: OCCAMS cohort, n = 158; gene expression arrays: Belfast, n = 63; Singapore, n = 191; Asian Cancer Research Group, n = 300). The subgroups were represented in the independent cohorts and pooled analysis confirmed the prognostic effect of the new subtypes. In conclusion, adenocarcinomas at the GEJ comprise three distinct molecular phenotypes which do not reflect anatomical location but rather inform our understanding of the key pathways expressed.
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