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Establishment of a typing model for diffuse large B-cell lymphoma based on B-cell receptor repertoire sequencing
BACKGROUND: The purpose of this study was to construct a new typing model for diffuse large B-cell lymphoma (DLBCL) patients based on the B-cell receptor (BCR) and explore its potential molecular mechanism. METHODS: BCR repertoire sequencing and whole-exome sequencing were performed on formalin-fixe...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986026/ https://www.ncbi.nlm.nih.gov/pubmed/33752626 http://dx.doi.org/10.1186/s12885-021-08015-z |
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author | Jiang, Wenhua Wang, Hailong Zhou, Shiyong Zhu, Guoqing Gao, Mingyou Zhao, Kuo Zhang, Limeng Xie, Xiaojing Zhao, Ning Tian, Caijuan Zhang, Zhenzhen Yan, Fang Pan, Yi Liu, Pengfei |
author_facet | Jiang, Wenhua Wang, Hailong Zhou, Shiyong Zhu, Guoqing Gao, Mingyou Zhao, Kuo Zhang, Limeng Xie, Xiaojing Zhao, Ning Tian, Caijuan Zhang, Zhenzhen Yan, Fang Pan, Yi Liu, Pengfei |
author_sort | Jiang, Wenhua |
collection | PubMed |
description | BACKGROUND: The purpose of this study was to construct a new typing model for diffuse large B-cell lymphoma (DLBCL) patients based on the B-cell receptor (BCR) and explore its potential molecular mechanism. METHODS: BCR repertoire sequencing and whole-exome sequencing were performed on formalin-fixed paraffin-embedded samples from 12 DLBCL patients. Subsequently, a typing model was built with cluster analysis, and prognostic indicators between the two groups were compared to verify the typing model. Then, mutation and bioinformatics analyses were conducted to investigate the potential biomarkers of prognostic differences between the two groups. RESULTS: Based on BCR sequencing data, we divided patients into two clusters (cluster 1 and cluster 2); this classification differed from the traditional typing method (GCB and non-GCB), in which cluster 1 included some non-GCB patients. The progression-free survival (PFS), overall survival (OS), metastasis and Shannon diversity index of IGH V-J and survival after chemotherapy were significantly different (P < 0.05) between the two clusters, but no statistical significance was found between the GCB and non-GCB groups. The mutation status of 248 genes was significantly different between cluster 1 and cluster 2. Among them, FTSJ3, MAGED2, and ODF3L2 were the specific mutated genes in all patients in cluster 2, and these genes could be considered critical to the different prognoses of the two clusters of DLBCL patients. CONCLUSION: We constructed a new typing model of DLBCL based on BCR repertoire sequencing that can better predict the survival time after chemotherapy. FTSJ3, MAGED2, and ODF3L2 may represent key genes for the difference in prognosis between the two clusters. |
format | Online Article Text |
id | pubmed-7986026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-79860262021-03-24 Establishment of a typing model for diffuse large B-cell lymphoma based on B-cell receptor repertoire sequencing Jiang, Wenhua Wang, Hailong Zhou, Shiyong Zhu, Guoqing Gao, Mingyou Zhao, Kuo Zhang, Limeng Xie, Xiaojing Zhao, Ning Tian, Caijuan Zhang, Zhenzhen Yan, Fang Pan, Yi Liu, Pengfei BMC Cancer Research Article BACKGROUND: The purpose of this study was to construct a new typing model for diffuse large B-cell lymphoma (DLBCL) patients based on the B-cell receptor (BCR) and explore its potential molecular mechanism. METHODS: BCR repertoire sequencing and whole-exome sequencing were performed on formalin-fixed paraffin-embedded samples from 12 DLBCL patients. Subsequently, a typing model was built with cluster analysis, and prognostic indicators between the two groups were compared to verify the typing model. Then, mutation and bioinformatics analyses were conducted to investigate the potential biomarkers of prognostic differences between the two groups. RESULTS: Based on BCR sequencing data, we divided patients into two clusters (cluster 1 and cluster 2); this classification differed from the traditional typing method (GCB and non-GCB), in which cluster 1 included some non-GCB patients. The progression-free survival (PFS), overall survival (OS), metastasis and Shannon diversity index of IGH V-J and survival after chemotherapy were significantly different (P < 0.05) between the two clusters, but no statistical significance was found between the GCB and non-GCB groups. The mutation status of 248 genes was significantly different between cluster 1 and cluster 2. Among them, FTSJ3, MAGED2, and ODF3L2 were the specific mutated genes in all patients in cluster 2, and these genes could be considered critical to the different prognoses of the two clusters of DLBCL patients. CONCLUSION: We constructed a new typing model of DLBCL based on BCR repertoire sequencing that can better predict the survival time after chemotherapy. FTSJ3, MAGED2, and ODF3L2 may represent key genes for the difference in prognosis between the two clusters. BioMed Central 2021-03-22 /pmc/articles/PMC7986026/ /pubmed/33752626 http://dx.doi.org/10.1186/s12885-021-08015-z Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Article Jiang, Wenhua Wang, Hailong Zhou, Shiyong Zhu, Guoqing Gao, Mingyou Zhao, Kuo Zhang, Limeng Xie, Xiaojing Zhao, Ning Tian, Caijuan Zhang, Zhenzhen Yan, Fang Pan, Yi Liu, Pengfei Establishment of a typing model for diffuse large B-cell lymphoma based on B-cell receptor repertoire sequencing |
title | Establishment of a typing model for diffuse large B-cell lymphoma based on B-cell receptor repertoire sequencing |
title_full | Establishment of a typing model for diffuse large B-cell lymphoma based on B-cell receptor repertoire sequencing |
title_fullStr | Establishment of a typing model for diffuse large B-cell lymphoma based on B-cell receptor repertoire sequencing |
title_full_unstemmed | Establishment of a typing model for diffuse large B-cell lymphoma based on B-cell receptor repertoire sequencing |
title_short | Establishment of a typing model for diffuse large B-cell lymphoma based on B-cell receptor repertoire sequencing |
title_sort | establishment of a typing model for diffuse large b-cell lymphoma based on b-cell receptor repertoire sequencing |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7986026/ https://www.ncbi.nlm.nih.gov/pubmed/33752626 http://dx.doi.org/10.1186/s12885-021-08015-z |
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