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Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction

Authors :
Bornschein, J
Wernisch, L
Secrier, M
Miremadi, A
Perner, J
MacRae, S
O'Donovan, M
Newton, R
Menon, S
Bower, L
Eldridge, MD
Devonshire, G
Cheah, C
Turkington, R
Hardwick, RH
Selgrad, M
Venerito, M
Malfertheiner, P
Fitzgerald, RC
Noorani, A
Elliott, RF
Edwards, PAW
Grehan, N
Nutzinger, B
Crawte, J
Chettouh, H
Contino, G
Li, X
Gregson, E
Zeki, S
De la Rue, R
Malhotra, S
Tavare, S
Lynch, AG
Smith, ML
Davies, J
Crichton, C
Carroll, N
Safranek, P
Hindmarsh, A
Sujendran, V
Hayes, SJ
Ang, Y
Preston, SR
Oakes, S
Bagwan, I
Save, V
Skipworth, RJE
Hupp, TR
O'Neill, JR
Tucker, O
Beggs, A
Taniere, P
Puig, S
Underwood, TJ
Noble, F
Owsley, J
Barr, H
Shepherd, N
Old, O
Lagergren, J
Gossage, J
Davies, A
Chang, F
Zylstra, J
Goh, V
Ciccarelli, FD
Sanders, G
Berrisford, R
Harden, C
Bunting, D
Lewis, M
Cheong, E
Kumar, B
Parsons, SL
Soomro, I
Kaye, P
Saunders, J
Lovat, L
Haidry, R
Eneh, V
Igali, L
Scott, M
Sothi, S
Suortamo, S
Lishman, S
Hanna, GB
Peters, CJ
Grabowska, A
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.

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