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A unique expression pattern of LAG3 distinct from that of other immune checkpoints in diffuse large B‐cell lymphoma

BACKGROUND: Although some patients with diffuse large B‐cell lymphoma (DLBCL) show a response to immunotherapy, there are still many who do not respond. This suggests that various immune checkpoints are complicatedly intertwined in the composition of the tumor microenvironment of DLBCL. PATIENTS AND...

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Autores principales: Lee, Hyunjee, Yoon, Sang Eun, Kim, Seok Jin, Kim, Won Seog, Cho, Junhun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469648/
https://www.ncbi.nlm.nih.gov/pubmed/37326144
http://dx.doi.org/10.1002/cam4.6268
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author Lee, Hyunjee
Yoon, Sang Eun
Kim, Seok Jin
Kim, Won Seog
Cho, Junhun
author_facet Lee, Hyunjee
Yoon, Sang Eun
Kim, Seok Jin
Kim, Won Seog
Cho, Junhun
author_sort Lee, Hyunjee
collection PubMed
description BACKGROUND: Although some patients with diffuse large B‐cell lymphoma (DLBCL) show a response to immunotherapy, there are still many who do not respond. This suggests that various immune checkpoints are complicatedly intertwined in the composition of the tumor microenvironment of DLBCL. PATIENTS AND METHODS: To comprehensively understand the expression of various immune checkpoint genes in DLBCL, we performed NanoString assay in 98 patients to investigate 579 genes. In addition, we performed immunohistochemistry for LAG‐3 and PD‐L1 to compare the results with expression in NanoString assay. RESULTS: As a result of hierarchical clustering of NanoString assay, 98 DLBCLs were classified into three tumor immune microenvironment clusters. Most immune checkpoint genes showed the highest expression in cluster A and the lowest in cluster C. However, the expression of LAG3 was the highest in cluster C and the lowest in cluster A, showing an expression pattern opposite to that of other immune checkpoint genes. In Cluster A, the expression of genes related to T‐cell activity such as CD8A and GZMB was increased. In Cluster C, the expression of genes related to major histocompatibility complex molecules was the highest. Immunohistochemical stains showed modest agreement with the NanoString results but did not help clustering. CONCLUSION: Our results show that the unique expression pattern of LAG3 in DLBCL contrasts with that of other immune checkpoints. We suggest that the combination of anti‐PD‐1/PD‐L1 and anti‐LAG‐3 blockades in the immunotherapy of DLBCL patients can have a synergistic effect, improving the immunotherapy efficacy and outcome in DLBCL patients.
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spelling pubmed-104696482023-09-01 A unique expression pattern of LAG3 distinct from that of other immune checkpoints in diffuse large B‐cell lymphoma Lee, Hyunjee Yoon, Sang Eun Kim, Seok Jin Kim, Won Seog Cho, Junhun Cancer Med RESEARCH ARTICLES BACKGROUND: Although some patients with diffuse large B‐cell lymphoma (DLBCL) show a response to immunotherapy, there are still many who do not respond. This suggests that various immune checkpoints are complicatedly intertwined in the composition of the tumor microenvironment of DLBCL. PATIENTS AND METHODS: To comprehensively understand the expression of various immune checkpoint genes in DLBCL, we performed NanoString assay in 98 patients to investigate 579 genes. In addition, we performed immunohistochemistry for LAG‐3 and PD‐L1 to compare the results with expression in NanoString assay. RESULTS: As a result of hierarchical clustering of NanoString assay, 98 DLBCLs were classified into three tumor immune microenvironment clusters. Most immune checkpoint genes showed the highest expression in cluster A and the lowest in cluster C. However, the expression of LAG3 was the highest in cluster C and the lowest in cluster A, showing an expression pattern opposite to that of other immune checkpoint genes. In Cluster A, the expression of genes related to T‐cell activity such as CD8A and GZMB was increased. In Cluster C, the expression of genes related to major histocompatibility complex molecules was the highest. Immunohistochemical stains showed modest agreement with the NanoString results but did not help clustering. CONCLUSION: Our results show that the unique expression pattern of LAG3 in DLBCL contrasts with that of other immune checkpoints. We suggest that the combination of anti‐PD‐1/PD‐L1 and anti‐LAG‐3 blockades in the immunotherapy of DLBCL patients can have a synergistic effect, improving the immunotherapy efficacy and outcome in DLBCL patients. John Wiley and Sons Inc. 2023-06-16 /pmc/articles/PMC10469648/ /pubmed/37326144 http://dx.doi.org/10.1002/cam4.6268 Text en © 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle RESEARCH ARTICLES
Lee, Hyunjee
Yoon, Sang Eun
Kim, Seok Jin
Kim, Won Seog
Cho, Junhun
A unique expression pattern of LAG3 distinct from that of other immune checkpoints in diffuse large B‐cell lymphoma
title A unique expression pattern of LAG3 distinct from that of other immune checkpoints in diffuse large B‐cell lymphoma
title_full A unique expression pattern of LAG3 distinct from that of other immune checkpoints in diffuse large B‐cell lymphoma
title_fullStr A unique expression pattern of LAG3 distinct from that of other immune checkpoints in diffuse large B‐cell lymphoma
title_full_unstemmed A unique expression pattern of LAG3 distinct from that of other immune checkpoints in diffuse large B‐cell lymphoma
title_short A unique expression pattern of LAG3 distinct from that of other immune checkpoints in diffuse large B‐cell lymphoma
title_sort unique expression pattern of lag3 distinct from that of other immune checkpoints in diffuse large b‐cell lymphoma
topic RESEARCH ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10469648/
https://www.ncbi.nlm.nih.gov/pubmed/37326144
http://dx.doi.org/10.1002/cam4.6268
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