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Exploration of the personalized immune checkpoint atlas of plasma cell dyscrasias patients using high-dimensional single-cell analysis
Immune checkpoint blockade endows patients with unparalleled success in conquering cancer. Unfortunately, inter-individual heterogeneity causes failure in controlling tumors in many patients. Emerging mass cytometry technology is capable of revealing a multiscale onco-immune landscape that improves...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
D.A. Spandidos
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251663/ https://www.ncbi.nlm.nih.gov/pubmed/32319658 http://dx.doi.org/10.3892/or.2020.7587 |
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author | Tu, Chenggong Zheng, Yongjiang Zhang, Hui Wang, Jinheng |
author_facet | Tu, Chenggong Zheng, Yongjiang Zhang, Hui Wang, Jinheng |
author_sort | Tu, Chenggong |
collection | PubMed |
description | Immune checkpoint blockade endows patients with unparalleled success in conquering cancer. Unfortunately, inter-individual heterogeneity causes failure in controlling tumors in many patients. Emerging mass cytometry technology is capable of revealing a multiscale onco-immune landscape that improves the efficacy of cancer immunotherapy. We introduced mass cytometry to determine the personalized immune checkpoint status in bone marrow and peripheral blood samples from 3 patients with multiple myeloma, amyloid light-chain amyloidosis, and solitary bone plasmacytoma and 1 non-hematologic malignancy patient. The expression of 18 immune regulatory receptors and ligands on 17 defined cell populations was simultaneously examined. By single-cell analyses, we identified the T cell clusters that serve as immunosuppressive signal source and revealed integrated immune checkpoint axes of individuals, thereby providing multiple potential immunotherapeutic targets, including programmed cell death protein 1 (PD-1), inducible co-stimulator (ICOS), and cluster of differentiation 28 (CD28), for each patient. Distinguishing the cell populations that function as providers and receivers of the immune checkpoint signals demonstrated a distinct cross-interaction network of immunomodulatory signals in individuals. These in-depth personalized data demonstrate mass cytometry as a powerful innovation to discover the systematical immune status in the primary and peripheral tumor microenvironment. |
format | Online Article Text |
id | pubmed-7251663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | D.A. Spandidos |
record_format | MEDLINE/PubMed |
spelling | pubmed-72516632020-05-28 Exploration of the personalized immune checkpoint atlas of plasma cell dyscrasias patients using high-dimensional single-cell analysis Tu, Chenggong Zheng, Yongjiang Zhang, Hui Wang, Jinheng Oncol Rep Articles Immune checkpoint blockade endows patients with unparalleled success in conquering cancer. Unfortunately, inter-individual heterogeneity causes failure in controlling tumors in many patients. Emerging mass cytometry technology is capable of revealing a multiscale onco-immune landscape that improves the efficacy of cancer immunotherapy. We introduced mass cytometry to determine the personalized immune checkpoint status in bone marrow and peripheral blood samples from 3 patients with multiple myeloma, amyloid light-chain amyloidosis, and solitary bone plasmacytoma and 1 non-hematologic malignancy patient. The expression of 18 immune regulatory receptors and ligands on 17 defined cell populations was simultaneously examined. By single-cell analyses, we identified the T cell clusters that serve as immunosuppressive signal source and revealed integrated immune checkpoint axes of individuals, thereby providing multiple potential immunotherapeutic targets, including programmed cell death protein 1 (PD-1), inducible co-stimulator (ICOS), and cluster of differentiation 28 (CD28), for each patient. Distinguishing the cell populations that function as providers and receivers of the immune checkpoint signals demonstrated a distinct cross-interaction network of immunomodulatory signals in individuals. These in-depth personalized data demonstrate mass cytometry as a powerful innovation to discover the systematical immune status in the primary and peripheral tumor microenvironment. D.A. Spandidos 2020-07 2020-04-21 /pmc/articles/PMC7251663/ /pubmed/32319658 http://dx.doi.org/10.3892/or.2020.7587 Text en Copyright: © Tu et al. This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made. |
spellingShingle | Articles Tu, Chenggong Zheng, Yongjiang Zhang, Hui Wang, Jinheng Exploration of the personalized immune checkpoint atlas of plasma cell dyscrasias patients using high-dimensional single-cell analysis |
title | Exploration of the personalized immune checkpoint atlas of plasma cell dyscrasias patients using high-dimensional single-cell analysis |
title_full | Exploration of the personalized immune checkpoint atlas of plasma cell dyscrasias patients using high-dimensional single-cell analysis |
title_fullStr | Exploration of the personalized immune checkpoint atlas of plasma cell dyscrasias patients using high-dimensional single-cell analysis |
title_full_unstemmed | Exploration of the personalized immune checkpoint atlas of plasma cell dyscrasias patients using high-dimensional single-cell analysis |
title_short | Exploration of the personalized immune checkpoint atlas of plasma cell dyscrasias patients using high-dimensional single-cell analysis |
title_sort | exploration of the personalized immune checkpoint atlas of plasma cell dyscrasias patients using high-dimensional single-cell analysis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7251663/ https://www.ncbi.nlm.nih.gov/pubmed/32319658 http://dx.doi.org/10.3892/or.2020.7587 |
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