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International Prognostic Index-Based Immune Prognostic Model for Diffuse Large B-Cell Lymphoma

BACKGROUND: The International Prognostic Index (IPI) is widely used to discriminate the prognosis of patients with diffuse large B-cell lymphoma (DLBCL). However, there is a significant need to identify novel valuable biomarkers in the context of targeted therapy, such as immune checkpoint blockade...

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Autores principales: Mu, Shidai, Shi, Deyao, Ai, Lisha, Fan, Fengjuan, Peng, Fei, Sun, Chunyan, Hu, Yu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569825/
https://www.ncbi.nlm.nih.gov/pubmed/34745101
http://dx.doi.org/10.3389/fimmu.2021.732006
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author Mu, Shidai
Shi, Deyao
Ai, Lisha
Fan, Fengjuan
Peng, Fei
Sun, Chunyan
Hu, Yu
author_facet Mu, Shidai
Shi, Deyao
Ai, Lisha
Fan, Fengjuan
Peng, Fei
Sun, Chunyan
Hu, Yu
author_sort Mu, Shidai
collection PubMed
description BACKGROUND: The International Prognostic Index (IPI) is widely used to discriminate the prognosis of patients with diffuse large B-cell lymphoma (DLBCL). However, there is a significant need to identify novel valuable biomarkers in the context of targeted therapy, such as immune checkpoint blockade (ICB). METHODS: Gene expression data and clinical DLBCL information were obtained from The Cancer Genome Atlas and Gene Expression Omnibus datasets. A total of 371 immune-related genes in DLBCL patients associated with different IPI risk groups were identified by weighted gene co-expression network analysis, and eight genes were selected to construct an IPI-based immune prognostic model (IPI-IPM). Subsequently, we analyzed the somatic mutation and transcription profiles of the IPI-IPM subgroups as well as the potential clinical response to immune checkpoint blockade (ICB) in IPI-IPM subgroups. RESULTS: The IPI-IPM was constructed based on the expression of CMBL, TLCD3B, SYNDIG1, ESM1, EPHA3, HUNK, PTX3, and IL12A, where high-risk patients had worse overall survival than low-risk patients, consistent with the results in the independent validation cohorts. The comprehensive results showed that high IPI-IPM risk scores were correlated with immune-related signaling pathways, high KMT2D and CD79B mutation rates, and upregulation of inhibitory immune checkpoints, including PD-L1, BTLA, and SIGLEC7, indicating a greater potential response to ICB therapy. CONCLUSION: The IPI-IPM has independent prognostic significance for DLBCL patients, which provides an immunological perspective to elucidate the mechanisms of tumor progression and sheds light on the development of immunotherapy for DLBCL.
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spelling pubmed-85698252021-11-06 International Prognostic Index-Based Immune Prognostic Model for Diffuse Large B-Cell Lymphoma Mu, Shidai Shi, Deyao Ai, Lisha Fan, Fengjuan Peng, Fei Sun, Chunyan Hu, Yu Front Immunol Immunology BACKGROUND: The International Prognostic Index (IPI) is widely used to discriminate the prognosis of patients with diffuse large B-cell lymphoma (DLBCL). However, there is a significant need to identify novel valuable biomarkers in the context of targeted therapy, such as immune checkpoint blockade (ICB). METHODS: Gene expression data and clinical DLBCL information were obtained from The Cancer Genome Atlas and Gene Expression Omnibus datasets. A total of 371 immune-related genes in DLBCL patients associated with different IPI risk groups were identified by weighted gene co-expression network analysis, and eight genes were selected to construct an IPI-based immune prognostic model (IPI-IPM). Subsequently, we analyzed the somatic mutation and transcription profiles of the IPI-IPM subgroups as well as the potential clinical response to immune checkpoint blockade (ICB) in IPI-IPM subgroups. RESULTS: The IPI-IPM was constructed based on the expression of CMBL, TLCD3B, SYNDIG1, ESM1, EPHA3, HUNK, PTX3, and IL12A, where high-risk patients had worse overall survival than low-risk patients, consistent with the results in the independent validation cohorts. The comprehensive results showed that high IPI-IPM risk scores were correlated with immune-related signaling pathways, high KMT2D and CD79B mutation rates, and upregulation of inhibitory immune checkpoints, including PD-L1, BTLA, and SIGLEC7, indicating a greater potential response to ICB therapy. CONCLUSION: The IPI-IPM has independent prognostic significance for DLBCL patients, which provides an immunological perspective to elucidate the mechanisms of tumor progression and sheds light on the development of immunotherapy for DLBCL. Frontiers Media S.A. 2021-10-22 /pmc/articles/PMC8569825/ /pubmed/34745101 http://dx.doi.org/10.3389/fimmu.2021.732006 Text en Copyright © 2021 Mu, Shi, Ai, Fan, Peng, Sun and Hu 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
Mu, Shidai
Shi, Deyao
Ai, Lisha
Fan, Fengjuan
Peng, Fei
Sun, Chunyan
Hu, Yu
International Prognostic Index-Based Immune Prognostic Model for Diffuse Large B-Cell Lymphoma
title International Prognostic Index-Based Immune Prognostic Model for Diffuse Large B-Cell Lymphoma
title_full International Prognostic Index-Based Immune Prognostic Model for Diffuse Large B-Cell Lymphoma
title_fullStr International Prognostic Index-Based Immune Prognostic Model for Diffuse Large B-Cell Lymphoma
title_full_unstemmed International Prognostic Index-Based Immune Prognostic Model for Diffuse Large B-Cell Lymphoma
title_short International Prognostic Index-Based Immune Prognostic Model for Diffuse Large B-Cell Lymphoma
title_sort international prognostic index-based immune prognostic model for diffuse large b-cell lymphoma
topic Immunology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8569825/
https://www.ncbi.nlm.nih.gov/pubmed/34745101
http://dx.doi.org/10.3389/fimmu.2021.732006
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