Integrating genetic subtypes with PET scan monitoring to predict outcome in diffuse large B-cell lymphoma

Abstract Next Generation Sequencing-based subtyping and interim- and end of treatment positron emission tomography (i/eot-PET) monitoring have high potential for upfront and on-treatment risk assessment of diffuse large B-cell lymphoma patients. We performed Dana Farber Cancer Institute (DFCI) and L...

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Main Authors: Matías S. Mendeville, Jurriaan Janssen, G. Tjitske Los-de Vries, Erik van Dijk, Julia Richter, Marcel Nijland, Margaretha G. M. Roemer, Phylicia Stathi, Nathalie J. Hijmering, Reno Bladergroen, Diego A. Pelaz, Arjan Diepstra, Corinne J. Eertink, Coreline N. Burggraaff, Yongsoo Kim, Pieternella J. Lugtenburg, Anke van den Berg, Alexandar Tzankov, Stefan Dirnhofer, Ulrich Dührsen, Andreas Hüttmann, Wolfram Klapper, Josée M. Zijlstra, Bauke Ylstra, Daphne de Jong
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Language:English
Published: Nature Portfolio 2025-01-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/s41467-024-55614-y
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author Matías S. Mendeville
Jurriaan Janssen
G. Tjitske Los-de Vries
Erik van Dijk
Julia Richter
Marcel Nijland
Margaretha G. M. Roemer
Phylicia Stathi
Nathalie J. Hijmering
Reno Bladergroen
Diego A. Pelaz
Arjan Diepstra
Corinne J. Eertink
Coreline N. Burggraaff
Yongsoo Kim
Pieternella J. Lugtenburg
Anke van den Berg
Alexandar Tzankov
Stefan Dirnhofer
Ulrich Dührsen
Andreas Hüttmann
Wolfram Klapper
Josée M. Zijlstra
Bauke Ylstra
Daphne de Jong
author_facet Matías S. Mendeville
Jurriaan Janssen
G. Tjitske Los-de Vries
Erik van Dijk
Julia Richter
Marcel Nijland
Margaretha G. M. Roemer
Phylicia Stathi
Nathalie J. Hijmering
Reno Bladergroen
Diego A. Pelaz
Arjan Diepstra
Corinne J. Eertink
Coreline N. Burggraaff
Yongsoo Kim
Pieternella J. Lugtenburg
Anke van den Berg
Alexandar Tzankov
Stefan Dirnhofer
Ulrich Dührsen
Andreas Hüttmann
Wolfram Klapper
Josée M. Zijlstra
Bauke Ylstra
Daphne de Jong
author_sort Matías S. Mendeville
collection DOAJ
description Abstract Next Generation Sequencing-based subtyping and interim- and end of treatment positron emission tomography (i/eot-PET) monitoring have high potential for upfront and on-treatment risk assessment of diffuse large B-cell lymphoma patients. We performed Dana Farber Cancer Institute (DFCI) and LymphGen genetic subtyping for the HOVON84 (n = 208, EudraCT-2006-005174-42) and PETAL (n = 204, EudraCT-2006-001641-33) trials retrospectively combined with DFCI genetic data (n = 304). For all R-CHOP treated patients (n = 592), C5/MCD- and C2/A53-subtypes show significantly worse outcome independent of the international prognostic index. For all subtypes, adverse prognostic value of i/eot-PET-positive status is confirmed. Consistent with frequent primary refractory disease, only 67% C2 patients become eot-PET-negative versus 81-88% for other subtypes. Indicative of high relapse rates, outcome of C5 i/eot-PET-negative patients remains significantly worse in HOVON-84, which trend validates in the PETAL and SAKK38-07 trials (NCT00544219). These results show the added value of integrated genetic subtyping and PET monitoring for prognostic stratification and subtype-specific trial design.
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spelling doaj-art-9c5f1ec906f3465dbce7688cf4ad97962025-01-05T12:38:57ZengNature PortfolioNature Communications2041-17232025-01-0116111210.1038/s41467-024-55614-yIntegrating genetic subtypes with PET scan monitoring to predict outcome in diffuse large B-cell lymphomaMatías S. Mendeville0Jurriaan Janssen1G. Tjitske Los-de Vries2Erik van Dijk3Julia Richter4Marcel Nijland5Margaretha G. M. Roemer6Phylicia Stathi7Nathalie J. Hijmering8Reno Bladergroen9Diego A. Pelaz10Arjan Diepstra11Corinne J. Eertink12Coreline N. Burggraaff13Yongsoo Kim14Pieternella J. Lugtenburg15Anke van den Berg16Alexandar Tzankov17Stefan Dirnhofer18Ulrich Dührsen19Andreas Hüttmann20Wolfram Klapper21Josée M. Zijlstra22Bauke Ylstra23Daphne de Jong24Department of Pathology, Cancer Center Amsterdam, Amsterdam UMC, location VUmcDepartment of Pathology, Cancer Center Amsterdam, Amsterdam UMC, location VUmcDepartment of Pathology, Cancer Center Amsterdam, Amsterdam UMC, location VUmcDepartment of Pathology, Cancer Center Amsterdam, Amsterdam UMC, location VUmcDepartment of Pathology, Hematopathology Section and Lymph Node Registry University Hospital Schleswig-Holstein, Campus KielDepartment of Hematology University of Groningen, University Medical Centre GroningenDepartment of Pathology, Cancer Center Amsterdam, Amsterdam UMC, location VUmcDepartment of Pathology, Cancer Center Amsterdam, Amsterdam UMC, location VUmcDepartment of Pathology, Cancer Center Amsterdam, Amsterdam UMC, location VUmcDepartment of Pathology, Cancer Center Amsterdam, Amsterdam UMC, location VUmcDepartment of Pathology, Cancer Center Amsterdam, Amsterdam UMC, location VUmcDepartment of Pathology and Medical Biology University of Groningen, University Medical Centre GroningenDepartment of Hematology, Cancer Center Amsterdam, Amsterdam UMC, location VUmcDepartment of Hematology, Cancer Center Amsterdam, Amsterdam UMC, location VUmcDepartment of Pathology, Cancer Center Amsterdam, Amsterdam UMC, location VUmcDepartment of Hematology, Erasmus MC Cancer Institute, University Medical Center RotterdamDepartment of Pathology and Medical Biology University of Groningen, University Medical Centre GroningenInstitute of Pathology, University of Basel and University Hospital BaselInstitute of Pathology, University of Basel and University Hospital BaselDepartment of Hematology, University Hospital EssenDepartment of Hematology, University Hospital EssenDepartment of Pathology, Hematopathology Section and Lymph Node Registry University Hospital Schleswig-Holstein, Campus KielDepartment of Hematology, Cancer Center Amsterdam, Amsterdam UMC, location VUmcDepartment of Pathology, Cancer Center Amsterdam, Amsterdam UMC, location VUmcDepartment of Pathology, Cancer Center Amsterdam, Amsterdam UMC, location VUmcAbstract Next Generation Sequencing-based subtyping and interim- and end of treatment positron emission tomography (i/eot-PET) monitoring have high potential for upfront and on-treatment risk assessment of diffuse large B-cell lymphoma patients. We performed Dana Farber Cancer Institute (DFCI) and LymphGen genetic subtyping for the HOVON84 (n = 208, EudraCT-2006-005174-42) and PETAL (n = 204, EudraCT-2006-001641-33) trials retrospectively combined with DFCI genetic data (n = 304). For all R-CHOP treated patients (n = 592), C5/MCD- and C2/A53-subtypes show significantly worse outcome independent of the international prognostic index. For all subtypes, adverse prognostic value of i/eot-PET-positive status is confirmed. Consistent with frequent primary refractory disease, only 67% C2 patients become eot-PET-negative versus 81-88% for other subtypes. Indicative of high relapse rates, outcome of C5 i/eot-PET-negative patients remains significantly worse in HOVON-84, which trend validates in the PETAL and SAKK38-07 trials (NCT00544219). These results show the added value of integrated genetic subtyping and PET monitoring for prognostic stratification and subtype-specific trial design.https://doi.org/10.1038/s41467-024-55614-y
spellingShingle Matías S. Mendeville
Jurriaan Janssen
G. Tjitske Los-de Vries
Erik van Dijk
Julia Richter
Marcel Nijland
Margaretha G. M. Roemer
Phylicia Stathi
Nathalie J. Hijmering
Reno Bladergroen
Diego A. Pelaz
Arjan Diepstra
Corinne J. Eertink
Coreline N. Burggraaff
Yongsoo Kim
Pieternella J. Lugtenburg
Anke van den Berg
Alexandar Tzankov
Stefan Dirnhofer
Ulrich Dührsen
Andreas Hüttmann
Wolfram Klapper
Josée M. Zijlstra
Bauke Ylstra
Daphne de Jong
Integrating genetic subtypes with PET scan monitoring to predict outcome in diffuse large B-cell lymphoma
Nature Communications
title Integrating genetic subtypes with PET scan monitoring to predict outcome in diffuse large B-cell lymphoma
title_full Integrating genetic subtypes with PET scan monitoring to predict outcome in diffuse large B-cell lymphoma
title_fullStr Integrating genetic subtypes with PET scan monitoring to predict outcome in diffuse large B-cell lymphoma
title_full_unstemmed Integrating genetic subtypes with PET scan monitoring to predict outcome in diffuse large B-cell lymphoma
title_short Integrating genetic subtypes with PET scan monitoring to predict outcome in diffuse large B-cell lymphoma
title_sort integrating genetic subtypes with pet scan monitoring to predict outcome in diffuse large b cell lymphoma
url https://doi.org/10.1038/s41467-024-55614-y
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