The transcriptomic landscape of gastric cancer: Insights into epstein-barr virus infected and microsatellite unstable tumors

Detalhes bibliográficos
Autor(a) principal: Gullo, I
Data de Publicação: 2018
Outros Autores: Carvalho, J, Martins, D, Lemos, D, Monteiro, AR, Ferreira, M, Das, K, Tan, P, Oliveira, C, Carneiro, F, Oliveira, P
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/127036
Resumo: 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-1high/PD-L1low, PD-1high/PDL1high) 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 The transcriptomic landscape of gastric cancer: Insights into epstein-barr virus infected and microsatellite unstable tumorsBackground: 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-1high/PD-L1low, PD-1high/PDL1high) 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.MDPI20182018-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/127036eng1661-659610.3390/ijms19072079Gullo, ICarvalho, JMartins, DLemos, DMonteiro, ARFerreira, MDas, KTan, POliveira, CCarneiro, FOliveira, Pinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T15:17:38Zoai:repositorio-aberto.up.pt:10216/127036Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:19:54.677103Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv 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
spellingShingle The transcriptomic landscape of gastric cancer: Insights into epstein-barr virus infected and microsatellite unstable tumors
Gullo, I
title_short 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_sort The transcriptomic landscape of gastric cancer: Insights into epstein-barr virus infected and microsatellite unstable tumors
author Gullo, I
author_facet Gullo, I
Carvalho, J
Martins, D
Lemos, D
Monteiro, AR
Ferreira, M
Das, K
Tan, P
Oliveira, C
Carneiro, F
Oliveira, P
author_role author
author2 Carvalho, J
Martins, D
Lemos, D
Monteiro, AR
Ferreira, M
Das, K
Tan, P
Oliveira, C
Carneiro, F
Oliveira, P
author2_role author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Gullo, I
Carvalho, J
Martins, D
Lemos, D
Monteiro, AR
Ferreira, M
Das, K
Tan, P
Oliveira, C
Carneiro, F
Oliveira, P
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-1high/PD-L1low, PD-1high/PDL1high) 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.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv https://hdl.handle.net/10216/127036
url https://hdl.handle.net/10216/127036
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 1661-6596
10.3390/ijms19072079
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dc.publisher.none.fl_str_mv MDPI
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repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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