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The Transcriptomic Landscape of Gastric Cancer: Insights into Epstein-Barr Virus Infected and Microsatellite Unstable Tumors

Background: Epstein-Barr Virus (EBV) positive and microsatellite unstable (MSI-high) gastric cancer (GC) are molecular subgroups with distinctive molecular profiles. We explored the transcriptomic differences between EBV+ and MSI-high GCs, and the expression of current GC immunotherapy targets such...

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Autores principales: Gullo, Irene, Carvalho, Joana, Martins, Diana, Lemos, Diana, Monteiro, Ana Rita, Ferreira, Marta, Das, Kakoli, Tan, Patrick, Oliveira, Carla, Carneiro, Fátima, Oliveira, Patrícia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6073163/
https://www.ncbi.nlm.nih.gov/pubmed/30018250
http://dx.doi.org/10.3390/ijms19072079
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author Gullo, Irene
Carvalho, Joana
Martins, Diana
Lemos, Diana
Monteiro, Ana Rita
Ferreira, Marta
Das, Kakoli
Tan, Patrick
Oliveira, Carla
Carneiro, Fátima
Oliveira, Patrícia
author_facet Gullo, Irene
Carvalho, Joana
Martins, Diana
Lemos, Diana
Monteiro, Ana Rita
Ferreira, Marta
Das, Kakoli
Tan, Patrick
Oliveira, Carla
Carneiro, Fátima
Oliveira, Patrícia
author_sort Gullo, Irene
collection PubMed
description Background: Epstein-Barr Virus (EBV) positive and microsatellite unstable (MSI-high) gastric cancer (GC) are molecular subgroups with distinctive molecular profiles. We explored the transcriptomic differences between EBV+ and MSI-high GCs, and the expression of current GC immunotherapy targets such as PD-1, PD-L1, CTLA4 and Dies1/VISTA. Methods: Using Nanostring Technology and comparative bioinformatics, we analyzed the expression of 499 genes in 46 GCs, classified either as EBV positive (EBER in situ hybridization) or MSI-high (PCR/fragment analysis). PD-L1 protein expression was assessed by immunohistochemistry. Results: From the 46 GCs, 27 tested MSI-high/EBV−, 15 tested MSS/EBV+ and four tested MSS/EBV−. The Nanostring CodeSet could segregate GCs according to MSI and, to a lesser extent, EBV status. Functional annotation of differentially expressed genes associated MSI-high/EBV− GCs with mitotic activity and MSS/EBV+ GCs with immune response. PD-L1 protein expression, evaluated in stromal immune cells, was lower in MSI-high/EBV− GCs. High mRNA expression of PD-1, CTLA4 and Dies1/VISTA and distinctive PD-1/PD-L1 co-expression patterns (PD-1(high)/PD-L1(low), PD-1(high)/PDL1(high)) were associated with MSS/EBV+ molecular subtype and gastric cancer with lymphoid stroma (GCLS) morphological features. Conclusions: EBV+ and MSI-high GCs present distinct transcriptomic profiles. GCLS/EBV+ cases frequently present co-expression of multiple immunotherapy targets, a finding with putative therapeutic implications.
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spelling pubmed-60731632018-08-13 The Transcriptomic Landscape of Gastric Cancer: Insights into Epstein-Barr Virus Infected and Microsatellite Unstable Tumors Gullo, Irene Carvalho, Joana Martins, Diana Lemos, Diana Monteiro, Ana Rita Ferreira, Marta Das, Kakoli Tan, Patrick Oliveira, Carla Carneiro, Fátima Oliveira, Patrícia Int J Mol Sci Article Background: Epstein-Barr Virus (EBV) positive and microsatellite unstable (MSI-high) gastric cancer (GC) are molecular subgroups with distinctive molecular profiles. We explored the transcriptomic differences between EBV+ and MSI-high GCs, and the expression of current GC immunotherapy targets such as PD-1, PD-L1, CTLA4 and Dies1/VISTA. Methods: Using Nanostring Technology and comparative bioinformatics, we analyzed the expression of 499 genes in 46 GCs, classified either as EBV positive (EBER in situ hybridization) or MSI-high (PCR/fragment analysis). PD-L1 protein expression was assessed by immunohistochemistry. Results: From the 46 GCs, 27 tested MSI-high/EBV−, 15 tested MSS/EBV+ and four tested MSS/EBV−. The Nanostring CodeSet could segregate GCs according to MSI and, to a lesser extent, EBV status. Functional annotation of differentially expressed genes associated MSI-high/EBV− GCs with mitotic activity and MSS/EBV+ GCs with immune response. PD-L1 protein expression, evaluated in stromal immune cells, was lower in MSI-high/EBV− GCs. High mRNA expression of PD-1, CTLA4 and Dies1/VISTA and distinctive PD-1/PD-L1 co-expression patterns (PD-1(high)/PD-L1(low), PD-1(high)/PDL1(high)) were associated with MSS/EBV+ molecular subtype and gastric cancer with lymphoid stroma (GCLS) morphological features. Conclusions: EBV+ and MSI-high GCs present distinct transcriptomic profiles. GCLS/EBV+ cases frequently present co-expression of multiple immunotherapy targets, a finding with putative therapeutic implications. MDPI 2018-07-17 /pmc/articles/PMC6073163/ /pubmed/30018250 http://dx.doi.org/10.3390/ijms19072079 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Gullo, Irene
Carvalho, Joana
Martins, Diana
Lemos, Diana
Monteiro, Ana Rita
Ferreira, Marta
Das, Kakoli
Tan, Patrick
Oliveira, Carla
Carneiro, Fátima
Oliveira, Patrícia
The Transcriptomic Landscape of Gastric Cancer: Insights into Epstein-Barr Virus Infected and Microsatellite Unstable Tumors
title The Transcriptomic Landscape of Gastric Cancer: Insights into Epstein-Barr Virus Infected and Microsatellite Unstable Tumors
title_full The Transcriptomic Landscape of Gastric Cancer: Insights into Epstein-Barr Virus Infected and Microsatellite Unstable Tumors
title_fullStr The Transcriptomic Landscape of Gastric Cancer: Insights into Epstein-Barr Virus Infected and Microsatellite Unstable Tumors
title_full_unstemmed The Transcriptomic Landscape of Gastric Cancer: Insights into Epstein-Barr Virus Infected and Microsatellite Unstable Tumors
title_short The Transcriptomic Landscape of Gastric Cancer: Insights into Epstein-Barr Virus Infected and Microsatellite Unstable Tumors
title_sort transcriptomic landscape of gastric cancer: insights into epstein-barr virus infected and microsatellite unstable tumors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6073163/
https://www.ncbi.nlm.nih.gov/pubmed/30018250
http://dx.doi.org/10.3390/ijms19072079
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