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Identification of tumor antigens and immune subtypes in lower grade gliomas for mRNA vaccine development

BACKGROUND: As an important part of tumor immunotherapy for adjunct, therapeutic tumor vaccines have been effective against multiple solid cancers, while their efficacy against lower grade glioma (LGG) remains undefined. Immunophenotyping of tumors is an essential tool to evaluate the immune functio...

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Autores principales: Ye, Liguo, Wang, Long, Yang, Ji’an, Hu, Ping, Zhang, Chunyu, Tong, Shi’ao, Liu, Zhennan, Tian, Daofeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369324/
https://www.ncbi.nlm.nih.gov/pubmed/34404444
http://dx.doi.org/10.1186/s12967-021-03014-x
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author Ye, Liguo
Wang, Long
Yang, Ji’an
Hu, Ping
Zhang, Chunyu
Tong, Shi’ao
Liu, Zhennan
Tian, Daofeng
author_facet Ye, Liguo
Wang, Long
Yang, Ji’an
Hu, Ping
Zhang, Chunyu
Tong, Shi’ao
Liu, Zhennan
Tian, Daofeng
author_sort Ye, Liguo
collection PubMed
description BACKGROUND: As an important part of tumor immunotherapy for adjunct, therapeutic tumor vaccines have been effective against multiple solid cancers, while their efficacy against lower grade glioma (LGG) remains undefined. Immunophenotyping of tumors is an essential tool to evaluate the immune function of patients with immunodeficiency or autoimmunity. Therefore, this study aims to find the potential tumor antigen of LGG and identify the suitable population for cancer vaccination based on the immune landscape. METHOD: The genomic and clinical data of 529 patients with LGG were obtained from TCGA, the mRNA_seq data of normal brain tissue were downloaded from GTEx. Differential expression gene and mutation analysis were performed to screen out potential antigens, K-M curves were carried out to investigate the correlation between the level of potential antigens and OS and DFS of patients. TIMER dataset was used to explore the correlation between genes and immune infiltrating cells. Immunophenotyping of 529 tumor samples was based on the single-sample gene sets enrichment analysis. Cibersort and Estimate algorithm were used to explore the tumor immune microenvironment characteristics in each immune subtype. Weighted gene co-expression network analysis (WGCNA) clustered immune-related genes and screened the hub genes, and pathway enrichment analyses were performed on the hub modules related to immune subtype in the WGCNA. RESULTS: Selecting for the mutated, up-regulated, prognosis- and immune-related genes, four potential tumor antigens were identified in LGG. They were also significantly positively associated with the antigen-presenting immune cells (APCs). Three robust immune subtypes, IS1, IS2 and IS3, represented immune status "desert", "immune inhibition", and "inflamed" respectively, which might serve as a predictive parameter. Subsequently, clinicopathological features, including the codeletion status of 1p19q, IDH mutation status, tumor mutation burden, tumor stemness, etc., were significantly different among subtypes. CONCLUSION: FCGBP, FLNC, TLR7, and CSF2RA were potential antigens for developing cancer vaccination, and the patients in IS3 were considered the most suitable for vaccination in LGG. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-021-03014-x.
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spelling pubmed-83693242021-08-17 Identification of tumor antigens and immune subtypes in lower grade gliomas for mRNA vaccine development Ye, Liguo Wang, Long Yang, Ji’an Hu, Ping Zhang, Chunyu Tong, Shi’ao Liu, Zhennan Tian, Daofeng J Transl Med Research BACKGROUND: As an important part of tumor immunotherapy for adjunct, therapeutic tumor vaccines have been effective against multiple solid cancers, while their efficacy against lower grade glioma (LGG) remains undefined. Immunophenotyping of tumors is an essential tool to evaluate the immune function of patients with immunodeficiency or autoimmunity. Therefore, this study aims to find the potential tumor antigen of LGG and identify the suitable population for cancer vaccination based on the immune landscape. METHOD: The genomic and clinical data of 529 patients with LGG were obtained from TCGA, the mRNA_seq data of normal brain tissue were downloaded from GTEx. Differential expression gene and mutation analysis were performed to screen out potential antigens, K-M curves were carried out to investigate the correlation between the level of potential antigens and OS and DFS of patients. TIMER dataset was used to explore the correlation between genes and immune infiltrating cells. Immunophenotyping of 529 tumor samples was based on the single-sample gene sets enrichment analysis. Cibersort and Estimate algorithm were used to explore the tumor immune microenvironment characteristics in each immune subtype. Weighted gene co-expression network analysis (WGCNA) clustered immune-related genes and screened the hub genes, and pathway enrichment analyses were performed on the hub modules related to immune subtype in the WGCNA. RESULTS: Selecting for the mutated, up-regulated, prognosis- and immune-related genes, four potential tumor antigens were identified in LGG. They were also significantly positively associated with the antigen-presenting immune cells (APCs). Three robust immune subtypes, IS1, IS2 and IS3, represented immune status "desert", "immune inhibition", and "inflamed" respectively, which might serve as a predictive parameter. Subsequently, clinicopathological features, including the codeletion status of 1p19q, IDH mutation status, tumor mutation burden, tumor stemness, etc., were significantly different among subtypes. CONCLUSION: FCGBP, FLNC, TLR7, and CSF2RA were potential antigens for developing cancer vaccination, and the patients in IS3 were considered the most suitable for vaccination in LGG. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12967-021-03014-x. BioMed Central 2021-08-17 /pmc/articles/PMC8369324/ /pubmed/34404444 http://dx.doi.org/10.1186/s12967-021-03014-x Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/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/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://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
Ye, Liguo
Wang, Long
Yang, Ji’an
Hu, Ping
Zhang, Chunyu
Tong, Shi’ao
Liu, Zhennan
Tian, Daofeng
Identification of tumor antigens and immune subtypes in lower grade gliomas for mRNA vaccine development
title Identification of tumor antigens and immune subtypes in lower grade gliomas for mRNA vaccine development
title_full Identification of tumor antigens and immune subtypes in lower grade gliomas for mRNA vaccine development
title_fullStr Identification of tumor antigens and immune subtypes in lower grade gliomas for mRNA vaccine development
title_full_unstemmed Identification of tumor antigens and immune subtypes in lower grade gliomas for mRNA vaccine development
title_short Identification of tumor antigens and immune subtypes in lower grade gliomas for mRNA vaccine development
title_sort identification of tumor antigens and immune subtypes in lower grade gliomas for mrna vaccine development
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8369324/
https://www.ncbi.nlm.nih.gov/pubmed/34404444
http://dx.doi.org/10.1186/s12967-021-03014-x
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