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Analysis of melanoma tumor antigens and immune subtypes for the development of mRNA vaccine
Melanoma has a high degree of malignancy and mortality. While there are some hopeful clinical trials for melanoma treatment in progress, they have not yet to yield significant long-term cure rates. Cancer vaccines including mRNA are currently one of the most promising strategy for tumor immunotherap...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer US
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375085/ https://www.ncbi.nlm.nih.gov/pubmed/35962880 http://dx.doi.org/10.1007/s10637-022-01290-y |
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author | Ping, Haiqin Yu, Wenjun Gong, Xiaoming Tong, Xin Lin, Cheyu Chen, Zhaojun Cai, Caiyun Guo, Kai Ke, Hengning |
author_facet | Ping, Haiqin Yu, Wenjun Gong, Xiaoming Tong, Xin Lin, Cheyu Chen, Zhaojun Cai, Caiyun Guo, Kai Ke, Hengning |
author_sort | Ping, Haiqin |
collection | PubMed |
description | Melanoma has a high degree of malignancy and mortality. While there are some hopeful clinical trials for melanoma treatment in progress, they have not yet to yield significant long-term cure rates. Cancer vaccines including mRNA are currently one of the most promising strategy for tumor immunotherapy. The aim of this study was to analyze the potential tumor antigens in melanoma that could be used to develop mRNA vaccines and identify suitable vaccine populations. The gene expression data and complete clinical information of 471 melanoma samples and 1 normal tissue were retrieved from TCGA. Then, 812 samples of normal skin and their corresponding gene expression data were obtained from GTEx. Overexpressed genes, mutated genes and IRDEGs are used to identify potential tumor antigens. The relationship between the expression level of potential antigen and prognosis was analyzed in GEPIA, and then the immune cell infiltration was estimated based on TIMER algorithm. The expression profiles of IRDEGs were used to identify consensus clusters and immune subtypes of melanoma. Finally, mutational status and immune microenvironment characterization in immune subtypes were analyzed. Five tumor antigens (PTPRC, SIGLEC10, CARD11, LILRB1, ADAMDEC1) were identified as potential tumor antigens according to overexpressed genes, mutated genes and immune-related genes. They were all associated with OS, DFS and APCs. We identified two immune subtypes of melanoma, named IS1 and IS2, which exhibit different clinical features and immune landscapes. Based on the different immune landscape, we may conclude that IS1 is immunophenotypically “cold”, while IS2 is "hot". The present research implicates that PTPRC, SIGLEC10, CARD11, LILRB1 and ADAMDEC1 may be the antigenic targets for melanoma mRNA vaccines and IS2 patients may be more effective to these vaccines. |
format | Online Article Text |
id | pubmed-9375085 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-93750852022-08-15 Analysis of melanoma tumor antigens and immune subtypes for the development of mRNA vaccine Ping, Haiqin Yu, Wenjun Gong, Xiaoming Tong, Xin Lin, Cheyu Chen, Zhaojun Cai, Caiyun Guo, Kai Ke, Hengning Invest New Drugs Research Melanoma has a high degree of malignancy and mortality. While there are some hopeful clinical trials for melanoma treatment in progress, they have not yet to yield significant long-term cure rates. Cancer vaccines including mRNA are currently one of the most promising strategy for tumor immunotherapy. The aim of this study was to analyze the potential tumor antigens in melanoma that could be used to develop mRNA vaccines and identify suitable vaccine populations. The gene expression data and complete clinical information of 471 melanoma samples and 1 normal tissue were retrieved from TCGA. Then, 812 samples of normal skin and their corresponding gene expression data were obtained from GTEx. Overexpressed genes, mutated genes and IRDEGs are used to identify potential tumor antigens. The relationship between the expression level of potential antigen and prognosis was analyzed in GEPIA, and then the immune cell infiltration was estimated based on TIMER algorithm. The expression profiles of IRDEGs were used to identify consensus clusters and immune subtypes of melanoma. Finally, mutational status and immune microenvironment characterization in immune subtypes were analyzed. Five tumor antigens (PTPRC, SIGLEC10, CARD11, LILRB1, ADAMDEC1) were identified as potential tumor antigens according to overexpressed genes, mutated genes and immune-related genes. They were all associated with OS, DFS and APCs. We identified two immune subtypes of melanoma, named IS1 and IS2, which exhibit different clinical features and immune landscapes. Based on the different immune landscape, we may conclude that IS1 is immunophenotypically “cold”, while IS2 is "hot". The present research implicates that PTPRC, SIGLEC10, CARD11, LILRB1 and ADAMDEC1 may be the antigenic targets for melanoma mRNA vaccines and IS2 patients may be more effective to these vaccines. Springer US 2022-08-13 2022 /pmc/articles/PMC9375085/ /pubmed/35962880 http://dx.doi.org/10.1007/s10637-022-01290-y Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, corrected publication 2022Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Ping, Haiqin Yu, Wenjun Gong, Xiaoming Tong, Xin Lin, Cheyu Chen, Zhaojun Cai, Caiyun Guo, Kai Ke, Hengning Analysis of melanoma tumor antigens and immune subtypes for the development of mRNA vaccine |
title | Analysis of melanoma tumor antigens and immune subtypes for the development of mRNA vaccine |
title_full | Analysis of melanoma tumor antigens and immune subtypes for the development of mRNA vaccine |
title_fullStr | Analysis of melanoma tumor antigens and immune subtypes for the development of mRNA vaccine |
title_full_unstemmed | Analysis of melanoma tumor antigens and immune subtypes for the development of mRNA vaccine |
title_short | Analysis of melanoma tumor antigens and immune subtypes for the development of mRNA vaccine |
title_sort | analysis of melanoma tumor antigens and immune subtypes for the development of mrna vaccine |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9375085/ https://www.ncbi.nlm.nih.gov/pubmed/35962880 http://dx.doi.org/10.1007/s10637-022-01290-y |
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