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Identification of tumor antigens and immune subtypes of pancreatic adenocarcinoma for mRNA vaccine development

BACKGROUND: Although mRNA vaccines have been effective against multiple cancers, their efficacy against pancreatic adenocarcinoma (PAAD) remains undefined. Accumulating evidence suggests that immunotyping can indicate the comprehensive immune status in tumors and their immune microenvironment, which...

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Autores principales: Huang, Xing, Zhang, Gang, Tang, Tianyu, Liang, Tingbo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7917175/
https://www.ncbi.nlm.nih.gov/pubmed/33648511
http://dx.doi.org/10.1186/s12943-021-01310-0
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author Huang, Xing
Zhang, Gang
Tang, Tianyu
Liang, Tingbo
author_facet Huang, Xing
Zhang, Gang
Tang, Tianyu
Liang, Tingbo
author_sort Huang, Xing
collection PubMed
description BACKGROUND: Although mRNA vaccines have been effective against multiple cancers, their efficacy against pancreatic adenocarcinoma (PAAD) remains undefined. Accumulating evidence suggests that immunotyping can indicate the comprehensive immune status in tumors and their immune microenvironment, which is closely associated with therapeutic response and vaccination potential. The aim of this study was to identify potent antigens in PAAD for mRNA vaccine development, and further distinguish immune subtypes of PAAD to construct an immune landscape for selecting suitable patients for vaccination. METHODS: Gene expression profiles and clinical information of 239 PAAD datasets were extracted from ICGC, and RNA-Seq data of 103 samples were retrieved from TCGA. GEPIA was used to calculate differential expression levels and prognostic indices, cBioPortal program was used to compare genetic alterations, and TIMER was used to explore correlation between genes and immune infiltrating cells. Consensus cluster was used for consistency matrix construction and data clustering, DAVID was used for functional annotation, and graph learning-based dimensional reduction was used to depict immune landscape. RESULTS: Six overexpressed and mutated tumor antigens associated with poor prognosis and infiltration of antigen presenting cells were identified in PAAD, including ADAM9, EFNB2, MET, TMOD3, TPX2, and WNT7A. Furthermore, five immune subtypes (IS1-IS5) and nine immune gene modules of PAAD were identified that were consistent in both patient cohorts. The immune subtypes showed distinct molecular, cellular and clinical characteristics. IS1 and IS2 exhibited immune-activated phenotypes and correlated to better survival compared to the other subtypes. IS4 and IS5 tumors were immunologically cold and associated with higher tumor mutation burden. Immunogenic cell death modulators, immune checkpoints, and CA125 and CA199, were also differentially expressed among the five immune subtypes. Finally, the immune landscape of PAAD showed a high degree of heterogeneity between individual patients. CONCLUSIONS: ADAM9, EFNB2, MET, TMOD3, TPX2, and WNT7A are potent antigens for developing anti-PAAD mRNA vaccine, and patients with IS4 and IS5 tumors are suitable for vaccination.
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spelling pubmed-79171752021-03-01 Identification of tumor antigens and immune subtypes of pancreatic adenocarcinoma for mRNA vaccine development Huang, Xing Zhang, Gang Tang, Tianyu Liang, Tingbo Mol Cancer Research BACKGROUND: Although mRNA vaccines have been effective against multiple cancers, their efficacy against pancreatic adenocarcinoma (PAAD) remains undefined. Accumulating evidence suggests that immunotyping can indicate the comprehensive immune status in tumors and their immune microenvironment, which is closely associated with therapeutic response and vaccination potential. The aim of this study was to identify potent antigens in PAAD for mRNA vaccine development, and further distinguish immune subtypes of PAAD to construct an immune landscape for selecting suitable patients for vaccination. METHODS: Gene expression profiles and clinical information of 239 PAAD datasets were extracted from ICGC, and RNA-Seq data of 103 samples were retrieved from TCGA. GEPIA was used to calculate differential expression levels and prognostic indices, cBioPortal program was used to compare genetic alterations, and TIMER was used to explore correlation between genes and immune infiltrating cells. Consensus cluster was used for consistency matrix construction and data clustering, DAVID was used for functional annotation, and graph learning-based dimensional reduction was used to depict immune landscape. RESULTS: Six overexpressed and mutated tumor antigens associated with poor prognosis and infiltration of antigen presenting cells were identified in PAAD, including ADAM9, EFNB2, MET, TMOD3, TPX2, and WNT7A. Furthermore, five immune subtypes (IS1-IS5) and nine immune gene modules of PAAD were identified that were consistent in both patient cohorts. The immune subtypes showed distinct molecular, cellular and clinical characteristics. IS1 and IS2 exhibited immune-activated phenotypes and correlated to better survival compared to the other subtypes. IS4 and IS5 tumors were immunologically cold and associated with higher tumor mutation burden. Immunogenic cell death modulators, immune checkpoints, and CA125 and CA199, were also differentially expressed among the five immune subtypes. Finally, the immune landscape of PAAD showed a high degree of heterogeneity between individual patients. CONCLUSIONS: ADAM9, EFNB2, MET, TMOD3, TPX2, and WNT7A are potent antigens for developing anti-PAAD mRNA vaccine, and patients with IS4 and IS5 tumors are suitable for vaccination. BioMed Central 2021-03-01 /pmc/articles/PMC7917175/ /pubmed/33648511 http://dx.doi.org/10.1186/s12943-021-01310-0 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Huang, Xing
Zhang, Gang
Tang, Tianyu
Liang, Tingbo
Identification of tumor antigens and immune subtypes of pancreatic adenocarcinoma for mRNA vaccine development
title Identification of tumor antigens and immune subtypes of pancreatic adenocarcinoma for mRNA vaccine development
title_full Identification of tumor antigens and immune subtypes of pancreatic adenocarcinoma for mRNA vaccine development
title_fullStr Identification of tumor antigens and immune subtypes of pancreatic adenocarcinoma for mRNA vaccine development
title_full_unstemmed Identification of tumor antigens and immune subtypes of pancreatic adenocarcinoma for mRNA vaccine development
title_short Identification of tumor antigens and immune subtypes of pancreatic adenocarcinoma for mRNA vaccine development
title_sort identification of tumor antigens and immune subtypes of pancreatic adenocarcinoma for mrna vaccine development
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7917175/
https://www.ncbi.nlm.nih.gov/pubmed/33648511
http://dx.doi.org/10.1186/s12943-021-01310-0
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