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Dissecting Tumor Antigens and Immune Subtypes of Glioma to Develop mRNA Vaccine

BACKGROUND: Nowadays, researchers are leveraging the mRNA-based vaccine technology used to develop personalized immunotherapy for cancer. However, its application against glioma is still in its infancy. In this study, the applicable candidates were excavated for mRNA vaccine treatment in the perspec...

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Autores principales: Zhong, Hua, Liu, Shuai, Cao, Fang, Zhao, Yi, Zhou, Jianguo, Tang, Feng, Peng, Zhaohua, Li, Yangsheng, Xu, Shen, Wang, Chunlin, Yang, Guohua, Li, Zhi-Qiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429949/
https://www.ncbi.nlm.nih.gov/pubmed/34512630
http://dx.doi.org/10.3389/fimmu.2021.709986
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author Zhong, Hua
Liu, Shuai
Cao, Fang
Zhao, Yi
Zhou, Jianguo
Tang, Feng
Peng, Zhaohua
Li, Yangsheng
Xu, Shen
Wang, Chunlin
Yang, Guohua
Li, Zhi-Qiang
author_facet Zhong, Hua
Liu, Shuai
Cao, Fang
Zhao, Yi
Zhou, Jianguo
Tang, Feng
Peng, Zhaohua
Li, Yangsheng
Xu, Shen
Wang, Chunlin
Yang, Guohua
Li, Zhi-Qiang
author_sort Zhong, Hua
collection PubMed
description BACKGROUND: Nowadays, researchers are leveraging the mRNA-based vaccine technology used to develop personalized immunotherapy for cancer. However, its application against glioma is still in its infancy. In this study, the applicable candidates were excavated for mRNA vaccine treatment in the perspective of immune regulation, and suitable glioma recipients with corresponding immune subtypes were further investigated. METHODS: The RNA-seq data and clinical information of 702 and 325 patients were recruited from TCGA and CGGA, separately. The genetic alteration profile was visualized and compared by cBioPortal. Then, we explored prognostic outcomes and immune correlations of the selected antigens to validate their clinical relevance. The prognostic index was measured via GEPIA2, and infiltration of antigen-presenting cells (APCs) was calculated and visualized by TIMER. Based on immune-related gene expression, immune subtypes of glioma were identified using consensus clustering analysis. Moreover, the immune landscape was visualized by graph learning-based dimensionality reduction analysis. RESULTS: Four glioma antigens, namely ANXA5, FKBP10, MSN, and PYGL, associated with superior prognoses and infiltration of APCs were selected. Three immune subtypes IS1–IS3 were identified, which fundamentally differed in molecular, cellular, and clinical signatures. Patients in subtypes IS2 and IS3 carried immunologically cold phenotypes, whereas those in IS1 carried immunologically hot phenotype. Particularly, patients in subtypes IS3 and IS2 demonstrated better outcomes than that in IS1. Expression profiles of immune checkpoints and immunogenic cell death (ICD) modulators showed a difference among IS1–IS3 tumors. Ultimately, the immune landscape of glioma elucidated considerable heterogeneity not only between individual patients but also within the same immune subtype. CONCLUSIONS: ANXA5, FKBP10, MSN, and PYGL are identified as potential antigens for anti-glioma mRNA vaccine production, specifically for patients in immune subtypes 2 and 3. In summary, this study may shed new light on the promising approaches of immunotherapy, such as devising mRNA vaccination tailored to applicable glioma recipients.
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spelling pubmed-84299492021-09-11 Dissecting Tumor Antigens and Immune Subtypes of Glioma to Develop mRNA Vaccine Zhong, Hua Liu, Shuai Cao, Fang Zhao, Yi Zhou, Jianguo Tang, Feng Peng, Zhaohua Li, Yangsheng Xu, Shen Wang, Chunlin Yang, Guohua Li, Zhi-Qiang Front Immunol Immunology BACKGROUND: Nowadays, researchers are leveraging the mRNA-based vaccine technology used to develop personalized immunotherapy for cancer. However, its application against glioma is still in its infancy. In this study, the applicable candidates were excavated for mRNA vaccine treatment in the perspective of immune regulation, and suitable glioma recipients with corresponding immune subtypes were further investigated. METHODS: The RNA-seq data and clinical information of 702 and 325 patients were recruited from TCGA and CGGA, separately. The genetic alteration profile was visualized and compared by cBioPortal. Then, we explored prognostic outcomes and immune correlations of the selected antigens to validate their clinical relevance. The prognostic index was measured via GEPIA2, and infiltration of antigen-presenting cells (APCs) was calculated and visualized by TIMER. Based on immune-related gene expression, immune subtypes of glioma were identified using consensus clustering analysis. Moreover, the immune landscape was visualized by graph learning-based dimensionality reduction analysis. RESULTS: Four glioma antigens, namely ANXA5, FKBP10, MSN, and PYGL, associated with superior prognoses and infiltration of APCs were selected. Three immune subtypes IS1–IS3 were identified, which fundamentally differed in molecular, cellular, and clinical signatures. Patients in subtypes IS2 and IS3 carried immunologically cold phenotypes, whereas those in IS1 carried immunologically hot phenotype. Particularly, patients in subtypes IS3 and IS2 demonstrated better outcomes than that in IS1. Expression profiles of immune checkpoints and immunogenic cell death (ICD) modulators showed a difference among IS1–IS3 tumors. Ultimately, the immune landscape of glioma elucidated considerable heterogeneity not only between individual patients but also within the same immune subtype. CONCLUSIONS: ANXA5, FKBP10, MSN, and PYGL are identified as potential antigens for anti-glioma mRNA vaccine production, specifically for patients in immune subtypes 2 and 3. In summary, this study may shed new light on the promising approaches of immunotherapy, such as devising mRNA vaccination tailored to applicable glioma recipients. Frontiers Media S.A. 2021-08-27 /pmc/articles/PMC8429949/ /pubmed/34512630 http://dx.doi.org/10.3389/fimmu.2021.709986 Text en Copyright © 2021 Zhong, Liu, Cao, Zhao, Zhou, Tang, Peng, Li, Xu, Wang, Yang and Li https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Immunology
Zhong, Hua
Liu, Shuai
Cao, Fang
Zhao, Yi
Zhou, Jianguo
Tang, Feng
Peng, Zhaohua
Li, Yangsheng
Xu, Shen
Wang, Chunlin
Yang, Guohua
Li, Zhi-Qiang
Dissecting Tumor Antigens and Immune Subtypes of Glioma to Develop mRNA Vaccine
title Dissecting Tumor Antigens and Immune Subtypes of Glioma to Develop mRNA Vaccine
title_full Dissecting Tumor Antigens and Immune Subtypes of Glioma to Develop mRNA Vaccine
title_fullStr Dissecting Tumor Antigens and Immune Subtypes of Glioma to Develop mRNA Vaccine
title_full_unstemmed Dissecting Tumor Antigens and Immune Subtypes of Glioma to Develop mRNA Vaccine
title_short Dissecting Tumor Antigens and Immune Subtypes of Glioma to Develop mRNA Vaccine
title_sort dissecting tumor antigens and immune subtypes of glioma to develop mrna vaccine
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8429949/
https://www.ncbi.nlm.nih.gov/pubmed/34512630
http://dx.doi.org/10.3389/fimmu.2021.709986
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