Cargando…
Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction
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 anato...
Autores principales: | , , , , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851674/ https://www.ncbi.nlm.nih.gov/pubmed/31050820 http://dx.doi.org/10.1002/ijc.32384 |
_version_ | 1783469664726155264 |
---|---|
author | Bornschein, Jan Wernisch, Lorenz Secrier, Maria Miremadi, Ahmad Perner, Juliane MacRae, Shona O'Donovan, Maria Newton, Richard Menon, Suraj Bower, Lawrence Eldridge, Matthew D. Devonshire, Ginny Cheah, Calvin Turkington, Richard Hardwick, Richard H. Selgrad, Michael Venerito, Marino Malfertheiner, Peter Fitzgerald, Rebecca C. |
author_facet | Bornschein, Jan Wernisch, Lorenz Secrier, Maria Miremadi, Ahmad Perner, Juliane MacRae, Shona O'Donovan, Maria Newton, Richard Menon, Suraj Bower, Lawrence Eldridge, Matthew D. Devonshire, Ginny Cheah, Calvin Turkington, Richard Hardwick, Richard H. Selgrad, Michael Venerito, Marino Malfertheiner, Peter Fitzgerald, Rebecca C. |
author_sort | Bornschein, Jan |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6851674 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-68516742019-11-18 Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction Bornschein, Jan Wernisch, Lorenz Secrier, Maria Miremadi, Ahmad Perner, Juliane MacRae, Shona O'Donovan, Maria Newton, Richard Menon, Suraj Bower, Lawrence Eldridge, Matthew D. Devonshire, Ginny Cheah, Calvin Turkington, Richard Hardwick, Richard H. Selgrad, Michael Venerito, Marino Malfertheiner, Peter Fitzgerald, Rebecca C. Int J Cancer Molecular Cancer Biology 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. John Wiley & Sons, Inc. 2019-05-17 2019-12-15 /pmc/articles/PMC6851674/ /pubmed/31050820 http://dx.doi.org/10.1002/ijc.32384 Text en © 2019 The Authors. International Journal of Cancer published by John Wiley & Sons Ltd on behalf of UICC This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Molecular Cancer Biology Bornschein, Jan Wernisch, Lorenz Secrier, Maria Miremadi, Ahmad Perner, Juliane MacRae, Shona O'Donovan, Maria Newton, Richard Menon, Suraj Bower, Lawrence Eldridge, Matthew D. Devonshire, Ginny Cheah, Calvin Turkington, Richard Hardwick, Richard H. Selgrad, Michael Venerito, Marino Malfertheiner, Peter Fitzgerald, Rebecca C. Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction |
title | Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction |
title_full | Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction |
title_fullStr | Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction |
title_full_unstemmed | Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction |
title_short | Transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction |
title_sort | transcriptomic profiling reveals three molecular phenotypes of adenocarcinoma at the gastroesophageal junction |
topic | Molecular Cancer Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6851674/ https://www.ncbi.nlm.nih.gov/pubmed/31050820 http://dx.doi.org/10.1002/ijc.32384 |
work_keys_str_mv | AT bornscheinjan transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT wernischlorenz transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT secriermaria transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT miremadiahmad transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT pernerjuliane transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT macraeshona transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT odonovanmaria transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT newtonrichard transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT menonsuraj transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT bowerlawrence transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT eldridgematthewd transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT devonshireginny transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT cheahcalvin transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT turkingtonrichard transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT hardwickrichardh transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT selgradmichael transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT veneritomarino transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT malfertheinerpeter transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction AT fitzgeraldrebeccac transcriptomicprofilingrevealsthreemolecularphenotypesofadenocarcinomaatthegastroesophagealjunction |