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Analysis of human glioma-associated co-inhibitory immune checkpoints in glioma microenvironment and peripheral blood

One biomarker for a better therapeutic effect of immune checkpoint inhibitors is high expression of checkpoint in tumor microenvironment The purpose of this study is to investigate the expression of immune checkpoints in human glioma microenvironment and peripheral blood mononuclear cells. First, si...

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Autores principales: Shen, Shaoping, Wu, Qiyan, Liu, Jialin, Wu, Liangliang, Zhang, Rong, Uemura, Yasushi, Yu, Xinguang, Chen, Ling, Liu, Tianyi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725225/
https://www.ncbi.nlm.nih.gov/pubmed/34923867
http://dx.doi.org/10.1177/20587384211056505
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author Shen, Shaoping
Wu, Qiyan
Liu, Jialin
Wu, Liangliang
Zhang, Rong
Uemura, Yasushi
Yu, Xinguang
Chen, Ling
Liu, Tianyi
author_facet Shen, Shaoping
Wu, Qiyan
Liu, Jialin
Wu, Liangliang
Zhang, Rong
Uemura, Yasushi
Yu, Xinguang
Chen, Ling
Liu, Tianyi
author_sort Shen, Shaoping
collection PubMed
description One biomarker for a better therapeutic effect of immune checkpoint inhibitors is high expression of checkpoint in tumor microenvironment The purpose of this study is to investigate the expression of immune checkpoints in human glioma microenvironment and peripheral blood mononuclear cells. First, single-cell suspension from 20 fresh high-grade glioma (HGG) specimens were obtained, and analyzed for lymphocyte composition, then six co-inhibitory immune checkpoints were analyzed at the same time. Second, 36 PBMC specimens isolated from HGG blood samples were analyzed for the same items. In GME, there were four distinct subtypes of cells, among them, immune cells accounted for an average of 51.3%. The myeloid cell population (CD11b(+)) was the most common immune cell identified, accounting for 36.14% on average; the remaining were most CD3(+)CD4(+) and CD3(+)/CD8(−)/CD4(−) T lymphocytes. In these cells, we detected the expression of BTLA, LAG3, Tim-3, CTLA-4, and VISTA on varying degrees. While in PBMCs, the result showed that when compared with healthy volunteers, the proportion of NK cells decreased significantly in HGG samples (p < 0.01). Moreover, the expression of BTLA, LAG3, and Tim-3 in CD45(+) immune cells in PBMC was more remarkable in glioma samples. In conclusion, the CD11b(+) myeloid cells were the predominant immune cells in GME. Moreover, some immune checkpoints displayed a more remarkable expression on the immune cells in GME. And the profile of checkpoint expression in PBMC was partially consistent with that in GME.
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spelling pubmed-87252252022-01-05 Analysis of human glioma-associated co-inhibitory immune checkpoints in glioma microenvironment and peripheral blood Shen, Shaoping Wu, Qiyan Liu, Jialin Wu, Liangliang Zhang, Rong Uemura, Yasushi Yu, Xinguang Chen, Ling Liu, Tianyi Int J Immunopathol Pharmacol Original Research Article One biomarker for a better therapeutic effect of immune checkpoint inhibitors is high expression of checkpoint in tumor microenvironment The purpose of this study is to investigate the expression of immune checkpoints in human glioma microenvironment and peripheral blood mononuclear cells. First, single-cell suspension from 20 fresh high-grade glioma (HGG) specimens were obtained, and analyzed for lymphocyte composition, then six co-inhibitory immune checkpoints were analyzed at the same time. Second, 36 PBMC specimens isolated from HGG blood samples were analyzed for the same items. In GME, there were four distinct subtypes of cells, among them, immune cells accounted for an average of 51.3%. The myeloid cell population (CD11b(+)) was the most common immune cell identified, accounting for 36.14% on average; the remaining were most CD3(+)CD4(+) and CD3(+)/CD8(−)/CD4(−) T lymphocytes. In these cells, we detected the expression of BTLA, LAG3, Tim-3, CTLA-4, and VISTA on varying degrees. While in PBMCs, the result showed that when compared with healthy volunteers, the proportion of NK cells decreased significantly in HGG samples (p < 0.01). Moreover, the expression of BTLA, LAG3, and Tim-3 in CD45(+) immune cells in PBMC was more remarkable in glioma samples. In conclusion, the CD11b(+) myeloid cells were the predominant immune cells in GME. Moreover, some immune checkpoints displayed a more remarkable expression on the immune cells in GME. And the profile of checkpoint expression in PBMC was partially consistent with that in GME. SAGE Publications 2021-12-20 /pmc/articles/PMC8725225/ /pubmed/34923867 http://dx.doi.org/10.1177/20587384211056505 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research Article
Shen, Shaoping
Wu, Qiyan
Liu, Jialin
Wu, Liangliang
Zhang, Rong
Uemura, Yasushi
Yu, Xinguang
Chen, Ling
Liu, Tianyi
Analysis of human glioma-associated co-inhibitory immune checkpoints in glioma microenvironment and peripheral blood
title Analysis of human glioma-associated co-inhibitory immune checkpoints in glioma microenvironment and peripheral blood
title_full Analysis of human glioma-associated co-inhibitory immune checkpoints in glioma microenvironment and peripheral blood
title_fullStr Analysis of human glioma-associated co-inhibitory immune checkpoints in glioma microenvironment and peripheral blood
title_full_unstemmed Analysis of human glioma-associated co-inhibitory immune checkpoints in glioma microenvironment and peripheral blood
title_short Analysis of human glioma-associated co-inhibitory immune checkpoints in glioma microenvironment and peripheral blood
title_sort analysis of human glioma-associated co-inhibitory immune checkpoints in glioma microenvironment and peripheral blood
topic Original Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8725225/
https://www.ncbi.nlm.nih.gov/pubmed/34923867
http://dx.doi.org/10.1177/20587384211056505
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