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Molecular characteristics of immunocytes infiltration in primary central nervous system lymphoma
Background: Primary central nervous system lymphoma (PCNSL) is a rare B-cell lymphoma of central nervous system, which is often found in immunocompromised patients. The common clinical treatment of PCNSL is methotrexate (MTX) and whole brain radiation therapy. With the development of tumour immunolo...
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/PMC9428130/ https://www.ncbi.nlm.nih.gov/pubmed/36061189 http://dx.doi.org/10.3389/fgene.2022.921823 |
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author | Zhang, Linyun Sun, Fei Lu, Xiaona Wang, Xiaotong Wang, Jie Li, Jun Xu, Yingsong Kou, Daqing Lv, Hongtao Don, Bin |
author_facet | Zhang, Linyun Sun, Fei Lu, Xiaona Wang, Xiaotong Wang, Jie Li, Jun Xu, Yingsong Kou, Daqing Lv, Hongtao Don, Bin |
author_sort | Zhang, Linyun |
collection | PubMed |
description | Background: Primary central nervous system lymphoma (PCNSL) is a rare B-cell lymphoma of central nervous system, which is often found in immunocompromised patients. The common clinical treatment of PCNSL is methotrexate (MTX) and whole brain radiation therapy. With the development of tumour immunology research, the tumour microenvironment of PCNSL is characterised by abnormal expression of different immune signature molecules and patients with PCNSL may benefit from tumour immunotherapy. Methods: In our research, RNA-seq data from 82 PCNSL patients were collated by mining the microarray data from the GEO database. All samples were classified into three types related to tumour immune response by the Cibersort algorithm and consistent clustering. Differential analysis of genes was used to uncover 2 sets of differential genes associated with tumour immunity. The ICI scores of each sample were obtained by PCA algorithm, and the relationship between ICI scores and immune checkpoint expression, immunotherapy and drug sensitivity was investigated. Genes associated with ICI scores and their functional characteristics were investigated by WGCNA analysis and PPI analysis, based on the ICI scores of each sample. Results: The tumour microenvironment in PCNSL has a greater relationship with the tumour immune response. ICI scores obtained from 375 differential genes were associated with multiple immune responses in PCNSL. PCNSL patients with higher ICI scores had a better tumour microenvironment and were sensitive to immunotherapy and some small molecule drug. This study also identified 64 genes associated with ICI scores, which may serve as important therapeutic and prognostic targets for PCNSL. Conclusion: The presence of multiple immunosuppressive responses in the tumour microenvironment of PCNSL which suggested that improving the immune function of PCNSL patients through immunotherapy and targeted therapies can be an effective treatment for PCNSL. And the ICI score and associated genes may also provide a better predictor of the clinical use of immunotherapy. |
format | Online Article Text |
id | pubmed-9428130 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-94281302022-09-01 Molecular characteristics of immunocytes infiltration in primary central nervous system lymphoma Zhang, Linyun Sun, Fei Lu, Xiaona Wang, Xiaotong Wang, Jie Li, Jun Xu, Yingsong Kou, Daqing Lv, Hongtao Don, Bin Front Genet Genetics Background: Primary central nervous system lymphoma (PCNSL) is a rare B-cell lymphoma of central nervous system, which is often found in immunocompromised patients. The common clinical treatment of PCNSL is methotrexate (MTX) and whole brain radiation therapy. With the development of tumour immunology research, the tumour microenvironment of PCNSL is characterised by abnormal expression of different immune signature molecules and patients with PCNSL may benefit from tumour immunotherapy. Methods: In our research, RNA-seq data from 82 PCNSL patients were collated by mining the microarray data from the GEO database. All samples were classified into three types related to tumour immune response by the Cibersort algorithm and consistent clustering. Differential analysis of genes was used to uncover 2 sets of differential genes associated with tumour immunity. The ICI scores of each sample were obtained by PCA algorithm, and the relationship between ICI scores and immune checkpoint expression, immunotherapy and drug sensitivity was investigated. Genes associated with ICI scores and their functional characteristics were investigated by WGCNA analysis and PPI analysis, based on the ICI scores of each sample. Results: The tumour microenvironment in PCNSL has a greater relationship with the tumour immune response. ICI scores obtained from 375 differential genes were associated with multiple immune responses in PCNSL. PCNSL patients with higher ICI scores had a better tumour microenvironment and were sensitive to immunotherapy and some small molecule drug. This study also identified 64 genes associated with ICI scores, which may serve as important therapeutic and prognostic targets for PCNSL. Conclusion: The presence of multiple immunosuppressive responses in the tumour microenvironment of PCNSL which suggested that improving the immune function of PCNSL patients through immunotherapy and targeted therapies can be an effective treatment for PCNSL. And the ICI score and associated genes may also provide a better predictor of the clinical use of immunotherapy. Frontiers Media S.A. 2022-08-17 /pmc/articles/PMC9428130/ /pubmed/36061189 http://dx.doi.org/10.3389/fgene.2022.921823 Text en Copyright © 2022 Zhang, Sun, Lu, Wang, Wang, Li, Xu, Kou, Lv and Don. 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 | Genetics Zhang, Linyun Sun, Fei Lu, Xiaona Wang, Xiaotong Wang, Jie Li, Jun Xu, Yingsong Kou, Daqing Lv, Hongtao Don, Bin Molecular characteristics of immunocytes infiltration in primary central nervous system lymphoma |
title | Molecular characteristics of immunocytes infiltration in primary central nervous system lymphoma |
title_full | Molecular characteristics of immunocytes infiltration in primary central nervous system lymphoma |
title_fullStr | Molecular characteristics of immunocytes infiltration in primary central nervous system lymphoma |
title_full_unstemmed | Molecular characteristics of immunocytes infiltration in primary central nervous system lymphoma |
title_short | Molecular characteristics of immunocytes infiltration in primary central nervous system lymphoma |
title_sort | molecular characteristics of immunocytes infiltration in primary central nervous system lymphoma |
topic | Genetics |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428130/ https://www.ncbi.nlm.nih.gov/pubmed/36061189 http://dx.doi.org/10.3389/fgene.2022.921823 |
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