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Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction
- Source :
- on behalf of the OCCAMS Consortium 2019, ' Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction ', International Journal of Cancer . https://doi.org/10.1002/ijc.32384, International Journal of Cancer
- Publication Year :
- 2019
- Publisher :
- Wiley, 2019.
-
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.<br />What's new? Adenocarcinomas that arise at the junction between the esophagus and the stomach are currently classified based on location. Here, the authors looked at patterns of gene expression of these cancers. They found that gastro‐esophageal junction adenocarcinomas can be sorted into three biological subtypes, independent of location, based on gene expression. Group 1 cancers have boosted stomach‐specific genes that combat the effects of acid reflux. Group 2 tumors express genes characteristic to the intestinal tract, and the genes active in Group 3 relate to inflammation. The differences in biological pathway expression means that these differences could be used to improve treatment.
- Subjects :
- Oncology
Cancer Research
Esophageal Neoplasms
esophageal adenocarcinoma
gastroesophageal junction
SUBTYPES
Transcriptome
Molecular Cancer Biology
0302 clinical medicine
Gene expression
Prospective Studies
BILE-ACIDS
SIGNATURE
Prognosis
Immunohistochemistry
Phenotype
medicine.anatomical_structure
030220 oncology & carcinogenesis
OCCAMS Consortium
Adenocarcinoma
Esophagogastric Junction
Life Sciences & Biomedicine
EXPRESSION
medicine.medical_specialty
Biology
CLASSIFICATION
Siewert classification
03 medical and health sciences
SDG 3 - Good Health and Well-being
Stomach Neoplasms
Internal medicine
gene expression profiling
medicine
Humans
1112 Oncology and Carcinogenesis
Oncology & Carcinogenesis
Esophagus
Science & Technology
Anatomical location
IDENTIFICATION
Gene Expression Profiling
gastric cancer
PATHWAYS
medicine.disease
Gene expression profiling
ESOPHAGUS
GASTRIC-CANCER
Subjects
Details
- ISSN :
- 10970215 and 00207136
- Volume :
- 145
- Database :
- OpenAIRE
- Journal :
- International Journal of Cancer
- Accession number :
- edsair.doi.dedup.....247888413c0d73e27a41f5f76d2e9dd0
- Full Text :
- https://doi.org/10.1002/ijc.32384