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Cell‐of‐origin determined by both gene expression profiling and immunohistochemistry is the strongest predictor of survival in patients with diffuse large B‐cell lymphoma
The tumor cells in diffuse large B‐cell lymphomas (DLBCL) are considered to originate from germinal center derived B‐cells (GCB) or activated B‐cells (ABC). Gene expression profiling (GEP) is preferably used to determine the cell of origin (COO). However, GEP is not widely applied in clinical practi...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley & Sons, Inc.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6916573/ https://www.ncbi.nlm.nih.gov/pubmed/31659781 http://dx.doi.org/10.1002/ajh.25666 |
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author | Abdulla, Maysaa Hollander, Peter Pandzic, Tatjana Mansouri, Larry Ednersson, Susanne Bram Andersson, Per‐Ola Hultdin, Magnus Fors, Maja Erlanson, Martin Degerman, Sofie Petersen, Helga Munch Asmar, Fazila Grønbæk, Kirsten Enblad, Gunilla Cavelier, Lucia Rosenquist, Richard Amini, Rose‐Marie |
author_facet | Abdulla, Maysaa Hollander, Peter Pandzic, Tatjana Mansouri, Larry Ednersson, Susanne Bram Andersson, Per‐Ola Hultdin, Magnus Fors, Maja Erlanson, Martin Degerman, Sofie Petersen, Helga Munch Asmar, Fazila Grønbæk, Kirsten Enblad, Gunilla Cavelier, Lucia Rosenquist, Richard Amini, Rose‐Marie |
author_sort | Abdulla, Maysaa |
collection | PubMed |
description | The tumor cells in diffuse large B‐cell lymphomas (DLBCL) are considered to originate from germinal center derived B‐cells (GCB) or activated B‐cells (ABC). Gene expression profiling (GEP) is preferably used to determine the cell of origin (COO). However, GEP is not widely applied in clinical practice and consequently, several algorithms based on immunohistochemistry (IHC) have been developed. Our aim was to evaluate the concordance of COO assignment between the Lymph2Cx GEP assay and the IHC‐based Hans algorithm, to decide which model is the best survival predictor. Both GEP and IHC were performed in 359 homogenously treated Swedish and Danish DLBCL patients, in a retrospective multicenter cohort. The overall concordance between GEP and IHC algorithm was 72%; GEP classified 85% of cases assigned as GCB by IHC, as GCB, while 58% classified as non‐GCB by IHC, were categorized as ABC by GEP. There were significant survival differences (overall survival and progression‐free survival) if cases were classified by GEP, whereas if cases were categorized by IHC only progression‐free survival differed significantly. Importantly, patients assigned as non‐GCB/ABC both by IHC and GEP had the worst prognosis, which was also significant in multivariate analyses. Double expression of MYC and BCL2 was more common in ABC cases and was associated with a dismal outcome. In conclusion, to determine COO both by IHC and GEP is the strongest outcome predictor to identify DLBCL patients with the worst outcome. |
format | Online Article Text |
id | pubmed-6916573 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | John Wiley & Sons, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-69165732019-12-23 Cell‐of‐origin determined by both gene expression profiling and immunohistochemistry is the strongest predictor of survival in patients with diffuse large B‐cell lymphoma Abdulla, Maysaa Hollander, Peter Pandzic, Tatjana Mansouri, Larry Ednersson, Susanne Bram Andersson, Per‐Ola Hultdin, Magnus Fors, Maja Erlanson, Martin Degerman, Sofie Petersen, Helga Munch Asmar, Fazila Grønbæk, Kirsten Enblad, Gunilla Cavelier, Lucia Rosenquist, Richard Amini, Rose‐Marie Am J Hematol Research Articles The tumor cells in diffuse large B‐cell lymphomas (DLBCL) are considered to originate from germinal center derived B‐cells (GCB) or activated B‐cells (ABC). Gene expression profiling (GEP) is preferably used to determine the cell of origin (COO). However, GEP is not widely applied in clinical practice and consequently, several algorithms based on immunohistochemistry (IHC) have been developed. Our aim was to evaluate the concordance of COO assignment between the Lymph2Cx GEP assay and the IHC‐based Hans algorithm, to decide which model is the best survival predictor. Both GEP and IHC were performed in 359 homogenously treated Swedish and Danish DLBCL patients, in a retrospective multicenter cohort. The overall concordance between GEP and IHC algorithm was 72%; GEP classified 85% of cases assigned as GCB by IHC, as GCB, while 58% classified as non‐GCB by IHC, were categorized as ABC by GEP. There were significant survival differences (overall survival and progression‐free survival) if cases were classified by GEP, whereas if cases were categorized by IHC only progression‐free survival differed significantly. Importantly, patients assigned as non‐GCB/ABC both by IHC and GEP had the worst prognosis, which was also significant in multivariate analyses. Double expression of MYC and BCL2 was more common in ABC cases and was associated with a dismal outcome. In conclusion, to determine COO both by IHC and GEP is the strongest outcome predictor to identify DLBCL patients with the worst outcome. John Wiley & Sons, Inc. 2019-11-07 2020-01 /pmc/articles/PMC6916573/ /pubmed/31659781 http://dx.doi.org/10.1002/ajh.25666 Text en © 2019 The Authors. American Journal of Hematology published by Wiley Periodicals, Inc. This is an open access article under the terms of the http://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 Abdulla, Maysaa Hollander, Peter Pandzic, Tatjana Mansouri, Larry Ednersson, Susanne Bram Andersson, Per‐Ola Hultdin, Magnus Fors, Maja Erlanson, Martin Degerman, Sofie Petersen, Helga Munch Asmar, Fazila Grønbæk, Kirsten Enblad, Gunilla Cavelier, Lucia Rosenquist, Richard Amini, Rose‐Marie Cell‐of‐origin determined by both gene expression profiling and immunohistochemistry is the strongest predictor of survival in patients with diffuse large B‐cell lymphoma |
title | Cell‐of‐origin determined by both gene expression profiling and immunohistochemistry is the strongest predictor of survival in patients with diffuse large B‐cell lymphoma |
title_full | Cell‐of‐origin determined by both gene expression profiling and immunohistochemistry is the strongest predictor of survival in patients with diffuse large B‐cell lymphoma |
title_fullStr | Cell‐of‐origin determined by both gene expression profiling and immunohistochemistry is the strongest predictor of survival in patients with diffuse large B‐cell lymphoma |
title_full_unstemmed | Cell‐of‐origin determined by both gene expression profiling and immunohistochemistry is the strongest predictor of survival in patients with diffuse large B‐cell lymphoma |
title_short | Cell‐of‐origin determined by both gene expression profiling and immunohistochemistry is the strongest predictor of survival in patients with diffuse large B‐cell lymphoma |
title_sort | cell‐of‐origin determined by both gene expression profiling and immunohistochemistry is the strongest predictor of survival in patients with diffuse large b‐cell lymphoma |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6916573/ https://www.ncbi.nlm.nih.gov/pubmed/31659781 http://dx.doi.org/10.1002/ajh.25666 |
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