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Simplified algorithm for genetic subtyping in diffuse large B-cell lymphoma
Genetic classification helps to disclose molecular heterogeneity and therapeutic implications in diffuse large B-cell lymphoma (DLBCL). Using whole exome/genome sequencing, RNA-sequencing, and fluorescence in situ hybridization in 337 newly diagnosed DLBCL patients, we established a simplified 38-ge...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10083170/ https://www.ncbi.nlm.nih.gov/pubmed/37032379 http://dx.doi.org/10.1038/s41392-023-01358-y |
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author | Shen, Rong Fu, Di Dong, Lei Zhang, Mu-Chen Shi, Qing Shi, Zi-Yang Cheng, Shu Wang, Li Xu, Peng-Peng Zhao, Wei-Li |
author_facet | Shen, Rong Fu, Di Dong, Lei Zhang, Mu-Chen Shi, Qing Shi, Zi-Yang Cheng, Shu Wang, Li Xu, Peng-Peng Zhao, Wei-Li |
author_sort | Shen, Rong |
collection | PubMed |
description | Genetic classification helps to disclose molecular heterogeneity and therapeutic implications in diffuse large B-cell lymphoma (DLBCL). Using whole exome/genome sequencing, RNA-sequencing, and fluorescence in situ hybridization in 337 newly diagnosed DLBCL patients, we established a simplified 38-gene algorithm (termed ‘LymphPlex’) based on the information on mutations of 35 genes and rearrangements of three genes (BCL2, BCL6, and MYC), identifying seven distinct genetic subtypes: TP53(Mut) (TP53 mutations), MCD-like (MYD88, CD79B, PIM1, MPEG1, BTG1, TBL1XR1, PRDM1, IRF4 mutations), BN2-like (BCL6 fusion, NOTCH2, CD70, DTX1, BTG2, TNFAIP3, CCND3 mutations), N1-like (NOTCH1 mutations), EZB-like (BCL2 fusion, EZH2, TNFRSF14, KMT2D, B2M, FAS, CREBBP, ARID1A, EP300, CIITA, STAT6, GNA13 mutations, with or without MYC rearrangement), and ST2-like (SGK1, TET2, SOCS1, DDX3X, ZFP36L1, DUSP2, STAT3, IRF8 mutations). Extended validation of 1001 DLBCL patients revealed clinical relevance and biological signature of each genetic subtype. TP53(Mut) subtype showed poor prognosis, characterized by p53 signaling dysregulation, immune deficiency, and PI3K activation. MCD-like subtype was associated with poor prognosis, activated B-cell (ABC) origin, BCL2/MYC double-expression, and NF-κB activation. BN2-like subtype showed favorable outcome within ABC-DLBCL and featured with NF-κB activation. N1-like and EZB-like subtypes were predominated by ABC-DLBCL and germinal center B-cell (GCB)-DLBCL, respectively. EZB-like-MYC(+) subtype was characterized by an immunosuppressive tumor microenvironment, while EZB-like-MYC(-) subtype by NOTCH activation. ST2-like subtype showed favorable outcome within GCB-DLBCL and featured with stromal-1 modulation. Genetic subtype-guided targeted agents achieved encouraging clinical response when combined with immunochemotherapy. Collectively, LymphPlex provided high efficacy and feasibility, representing a step forward to the mechanism-based targeted therapy in DLBCL. |
format | Online Article Text |
id | pubmed-10083170 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-100831702023-04-11 Simplified algorithm for genetic subtyping in diffuse large B-cell lymphoma Shen, Rong Fu, Di Dong, Lei Zhang, Mu-Chen Shi, Qing Shi, Zi-Yang Cheng, Shu Wang, Li Xu, Peng-Peng Zhao, Wei-Li Signal Transduct Target Ther Article Genetic classification helps to disclose molecular heterogeneity and therapeutic implications in diffuse large B-cell lymphoma (DLBCL). Using whole exome/genome sequencing, RNA-sequencing, and fluorescence in situ hybridization in 337 newly diagnosed DLBCL patients, we established a simplified 38-gene algorithm (termed ‘LymphPlex’) based on the information on mutations of 35 genes and rearrangements of three genes (BCL2, BCL6, and MYC), identifying seven distinct genetic subtypes: TP53(Mut) (TP53 mutations), MCD-like (MYD88, CD79B, PIM1, MPEG1, BTG1, TBL1XR1, PRDM1, IRF4 mutations), BN2-like (BCL6 fusion, NOTCH2, CD70, DTX1, BTG2, TNFAIP3, CCND3 mutations), N1-like (NOTCH1 mutations), EZB-like (BCL2 fusion, EZH2, TNFRSF14, KMT2D, B2M, FAS, CREBBP, ARID1A, EP300, CIITA, STAT6, GNA13 mutations, with or without MYC rearrangement), and ST2-like (SGK1, TET2, SOCS1, DDX3X, ZFP36L1, DUSP2, STAT3, IRF8 mutations). Extended validation of 1001 DLBCL patients revealed clinical relevance and biological signature of each genetic subtype. TP53(Mut) subtype showed poor prognosis, characterized by p53 signaling dysregulation, immune deficiency, and PI3K activation. MCD-like subtype was associated with poor prognosis, activated B-cell (ABC) origin, BCL2/MYC double-expression, and NF-κB activation. BN2-like subtype showed favorable outcome within ABC-DLBCL and featured with NF-κB activation. N1-like and EZB-like subtypes were predominated by ABC-DLBCL and germinal center B-cell (GCB)-DLBCL, respectively. EZB-like-MYC(+) subtype was characterized by an immunosuppressive tumor microenvironment, while EZB-like-MYC(-) subtype by NOTCH activation. ST2-like subtype showed favorable outcome within GCB-DLBCL and featured with stromal-1 modulation. Genetic subtype-guided targeted agents achieved encouraging clinical response when combined with immunochemotherapy. Collectively, LymphPlex provided high efficacy and feasibility, representing a step forward to the mechanism-based targeted therapy in DLBCL. Nature Publishing Group UK 2023-04-10 /pmc/articles/PMC10083170/ /pubmed/37032379 http://dx.doi.org/10.1038/s41392-023-01358-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Shen, Rong Fu, Di Dong, Lei Zhang, Mu-Chen Shi, Qing Shi, Zi-Yang Cheng, Shu Wang, Li Xu, Peng-Peng Zhao, Wei-Li Simplified algorithm for genetic subtyping in diffuse large B-cell lymphoma |
title | Simplified algorithm for genetic subtyping in diffuse large B-cell lymphoma |
title_full | Simplified algorithm for genetic subtyping in diffuse large B-cell lymphoma |
title_fullStr | Simplified algorithm for genetic subtyping in diffuse large B-cell lymphoma |
title_full_unstemmed | Simplified algorithm for genetic subtyping in diffuse large B-cell lymphoma |
title_short | Simplified algorithm for genetic subtyping in diffuse large B-cell lymphoma |
title_sort | simplified algorithm for genetic subtyping in diffuse large b-cell lymphoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10083170/ https://www.ncbi.nlm.nih.gov/pubmed/37032379 http://dx.doi.org/10.1038/s41392-023-01358-y |
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