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Identify the immune characteristics and immunotherapy value of CD93 in the pan-cancer based on the public data sets
CD93 is a transmembrane receptor that is mainly expressed on endothelial cells. A recent study found that upregulated CD93 in tumor vessels is essential for tumor angiogenesis in several cancers. However, the underlying mechanisms are largely unexplored. Our present research systematically analyzed...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646793/ https://www.ncbi.nlm.nih.gov/pubmed/36389798 http://dx.doi.org/10.3389/fimmu.2022.907182 |
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author | Guo, Aiyuan Zhang, Jingwei Tian, Yuqiu Peng, Yun Luo, Peng Zhang, Jian Liu, Zaoqu Wu, Wantao Zhang, Hao Cheng, Quan |
author_facet | Guo, Aiyuan Zhang, Jingwei Tian, Yuqiu Peng, Yun Luo, Peng Zhang, Jian Liu, Zaoqu Wu, Wantao Zhang, Hao Cheng, Quan |
author_sort | Guo, Aiyuan |
collection | PubMed |
description | CD93 is a transmembrane receptor that is mainly expressed on endothelial cells. A recent study found that upregulated CD93 in tumor vessels is essential for tumor angiogenesis in several cancers. However, the underlying mechanisms are largely unexplored. Our present research systematically analyzed the characteristics of CD93 in tumor immunotherapy among 33 cancers. CD93 levels and co-expression of CD93 on cancer and stromal cells were detected using public databases and multiple immunofluorescence staining. The Kaplan-Meier (KM) analysis identified the predictive role of CD93 in these cancer types. The survival differences between CD93 mutants and WT, CNV groups, and methylation were also investigated. The immune landscape of CD93 in the tumor microenvironment was analyzed using the SangerBox, TIMER 2.0, and single-cell sequencing. The immunotherapy value of CD93 was predicted through public databases. CD93 mRNA and protein levels differed significantly between cancer samples and adjacent control tissues in multiply cancer types. CD93 mRNA expression associated with patient prognosis in many cancers. The correlation of CD93 levels with mutational status of other gene in these cancers was also analyzed. CD93 levels significantly positively related to three scores (immune, stromal, and extimate), immune infiltrates, immune checkpoints, and neoantigen expression.. Additionally, single-cell sequencing revealed that CD93 is predominantly co-expressed on tumor and stromal cells, such as endothelial cells, cancer-associated fibroblasts (CAFs), neutrophils, T cells, macrophages, M1 and M2 macrophages. Several immune-related signaling pathways were enriched based on CD93 expression, including immune cells activation and migration, focal adhesion, leukocyte transendothelial migration, oxidative phosphorylation, and complement. Multiple immunofluorescence staining displayed the relationship between CD93 expression and CD8, CD68, and CD163 in these cancers. Finally, the treatment response of CD93 in many immunotherapy cohorts and sensitive small molecules was predicted from the public datasets. CD93 expression is closely associated with clinical prognosis and immune infiltrates in a variety of tumors. Targeting CD93-related signaling pathways in the tumor microenvironment may be a novel therapeutic strategy for tumor immunotherapy. |
format | Online Article Text |
id | pubmed-9646793 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96467932022-11-15 Identify the immune characteristics and immunotherapy value of CD93 in the pan-cancer based on the public data sets Guo, Aiyuan Zhang, Jingwei Tian, Yuqiu Peng, Yun Luo, Peng Zhang, Jian Liu, Zaoqu Wu, Wantao Zhang, Hao Cheng, Quan Front Immunol Immunology CD93 is a transmembrane receptor that is mainly expressed on endothelial cells. A recent study found that upregulated CD93 in tumor vessels is essential for tumor angiogenesis in several cancers. However, the underlying mechanisms are largely unexplored. Our present research systematically analyzed the characteristics of CD93 in tumor immunotherapy among 33 cancers. CD93 levels and co-expression of CD93 on cancer and stromal cells were detected using public databases and multiple immunofluorescence staining. The Kaplan-Meier (KM) analysis identified the predictive role of CD93 in these cancer types. The survival differences between CD93 mutants and WT, CNV groups, and methylation were also investigated. The immune landscape of CD93 in the tumor microenvironment was analyzed using the SangerBox, TIMER 2.0, and single-cell sequencing. The immunotherapy value of CD93 was predicted through public databases. CD93 mRNA and protein levels differed significantly between cancer samples and adjacent control tissues in multiply cancer types. CD93 mRNA expression associated with patient prognosis in many cancers. The correlation of CD93 levels with mutational status of other gene in these cancers was also analyzed. CD93 levels significantly positively related to three scores (immune, stromal, and extimate), immune infiltrates, immune checkpoints, and neoantigen expression.. Additionally, single-cell sequencing revealed that CD93 is predominantly co-expressed on tumor and stromal cells, such as endothelial cells, cancer-associated fibroblasts (CAFs), neutrophils, T cells, macrophages, M1 and M2 macrophages. Several immune-related signaling pathways were enriched based on CD93 expression, including immune cells activation and migration, focal adhesion, leukocyte transendothelial migration, oxidative phosphorylation, and complement. Multiple immunofluorescence staining displayed the relationship between CD93 expression and CD8, CD68, and CD163 in these cancers. Finally, the treatment response of CD93 in many immunotherapy cohorts and sensitive small molecules was predicted from the public datasets. CD93 expression is closely associated with clinical prognosis and immune infiltrates in a variety of tumors. Targeting CD93-related signaling pathways in the tumor microenvironment may be a novel therapeutic strategy for tumor immunotherapy. Frontiers Media S.A. 2022-10-27 /pmc/articles/PMC9646793/ /pubmed/36389798 http://dx.doi.org/10.3389/fimmu.2022.907182 Text en Copyright © 2022 Guo, Zhang, Tian, Peng, Luo, Zhang, Liu, Wu, Zhang and Cheng 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 Guo, Aiyuan Zhang, Jingwei Tian, Yuqiu Peng, Yun Luo, Peng Zhang, Jian Liu, Zaoqu Wu, Wantao Zhang, Hao Cheng, Quan Identify the immune characteristics and immunotherapy value of CD93 in the pan-cancer based on the public data sets |
title | Identify the immune characteristics and immunotherapy value of CD93 in the pan-cancer based on the public data sets |
title_full | Identify the immune characteristics and immunotherapy value of CD93 in the pan-cancer based on the public data sets |
title_fullStr | Identify the immune characteristics and immunotherapy value of CD93 in the pan-cancer based on the public data sets |
title_full_unstemmed | Identify the immune characteristics and immunotherapy value of CD93 in the pan-cancer based on the public data sets |
title_short | Identify the immune characteristics and immunotherapy value of CD93 in the pan-cancer based on the public data sets |
title_sort | identify the immune characteristics and immunotherapy value of cd93 in the pan-cancer based on the public data sets |
topic | Immunology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9646793/ https://www.ncbi.nlm.nih.gov/pubmed/36389798 http://dx.doi.org/10.3389/fimmu.2022.907182 |
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