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

Abstract 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 microenvironmen...

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Main Authors: Xing Huang, Gang Zhang, Tianyu Tang, Tingbo Liang
Format: Article
Language:English
Published: BMC 2021-03-01
Series:Molecular Cancer
Subjects:
Online Access:https://doi.org/10.1186/s12943-021-01310-0
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spelling doaj-8daacb13fc0f43b2835a0a3932bc50682021-03-11T12:06:10ZengBMCMolecular Cancer1476-45982021-03-0120111810.1186/s12943-021-01310-0Identification of tumor antigens and immune subtypes of pancreatic adenocarcinoma for mRNA vaccine developmentXing Huang0Gang Zhang1Tianyu Tang2Tingbo Liang3Department of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, School of Medicine, Zhejiang UniversityDepartment of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, School of Medicine, Zhejiang UniversityDepartment of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, School of Medicine, Zhejiang UniversityDepartment of Hepatobiliary and Pancreatic Surgery, the First Affiliated Hospital, School of Medicine, Zhejiang UniversityAbstract 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.https://doi.org/10.1186/s12943-021-01310-0mRNA vaccineImmunotypePancreatic adenocarcinomaTumor immune microenvironmentImmune landscape
collection DOAJ
language English
format Article
sources DOAJ
author Xing Huang
Gang Zhang
Tianyu Tang
Tingbo Liang
spellingShingle Xing Huang
Gang Zhang
Tianyu Tang
Tingbo Liang
Identification of tumor antigens and immune subtypes of pancreatic adenocarcinoma for mRNA vaccine development
Molecular Cancer
mRNA vaccine
Immunotype
Pancreatic adenocarcinoma
Tumor immune microenvironment
Immune landscape
author_facet Xing Huang
Gang Zhang
Tianyu Tang
Tingbo Liang
author_sort Xing Huang
title 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_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_sort identification of tumor antigens and immune subtypes of pancreatic adenocarcinoma for mrna vaccine development
publisher BMC
series Molecular Cancer
issn 1476-4598
publishDate 2021-03-01
description Abstract 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.
topic mRNA vaccine
Immunotype
Pancreatic adenocarcinoma
Tumor immune microenvironment
Immune landscape
url https://doi.org/10.1186/s12943-021-01310-0
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