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Outcome Prediction in Patients With Large B-cell Lymphoma Undergoing Chimeric Antigen Receptor T-cell Therapy
The introduction of chimeric antigen receptor (CAR) T-cell therapy has led to a fundamental shift in the management of relapsed and refractory large B-cell lymphoma. However, our understanding of risk factors associated with non-response is still insufficient and the search for predictive biomarkers...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829285/ https://www.ncbi.nlm.nih.gov/pubmed/36698613 http://dx.doi.org/10.1097/HS9.0000000000000817 |
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author | Voltin, Conrad-Amadeus Gödel, Philipp Beckmann, Laura Heger, Jan-Michel Kobe, Carsten Kutsch, Nadine Borchmann, Peter Dietlein, Markus Herrmann, Ken Stelljes, Matthias Rahbar, Kambiz Lenz, Georg Reinhardt, H. Christian Teichert, Marcel Noppeney, Richard Albring, Jörn C. Seifert, Robert von Tresckow, Bastian Flossdorf, Sarah Hanoun, Christine |
author_facet | Voltin, Conrad-Amadeus Gödel, Philipp Beckmann, Laura Heger, Jan-Michel Kobe, Carsten Kutsch, Nadine Borchmann, Peter Dietlein, Markus Herrmann, Ken Stelljes, Matthias Rahbar, Kambiz Lenz, Georg Reinhardt, H. Christian Teichert, Marcel Noppeney, Richard Albring, Jörn C. Seifert, Robert von Tresckow, Bastian Flossdorf, Sarah Hanoun, Christine |
author_sort | Voltin, Conrad-Amadeus |
collection | PubMed |
description | The introduction of chimeric antigen receptor (CAR) T-cell therapy has led to a fundamental shift in the management of relapsed and refractory large B-cell lymphoma. However, our understanding of risk factors associated with non-response is still insufficient and the search for predictive biomarkers continues. Some parameters measurable on (18)F-fluorodeoxyglucose positron emission tomography (PET) may be of additional value in this context. A total of 47 individuals from three German university centers who underwent re-staging with PET prior to CAR T-cell therapy were enrolled into the present study. After multivariable analysis considering tumor characteristics and patient factors that might affect progression-free survival (PFS), we investigated whether metabolic tumor volume (MTV) or maximum standardized uptake value (SUV(max)) further improve risk stratification. Their most suitable cut-offs were determined by Cox and logistic regression. Forward selection identified extra-nodal disease as the most predictive factor of those routinely available, and we found it to be associated with significantly inferior overall survival after CAR T-cell treatment (P = 0.012). Furthermore, patients with MTV and SUV(max) higher than the optimal threshold of 11 mL and 16.7, respectively, experienced shorter PFS (P = 0.016 and 0.002, respectively). Hence, these risk factors might be useful for selection of individuals likely to benefit from CAR T-cell therapy and their management. |
format | Online Article Text |
id | pubmed-9829285 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-98292852023-01-24 Outcome Prediction in Patients With Large B-cell Lymphoma Undergoing Chimeric Antigen Receptor T-cell Therapy Voltin, Conrad-Amadeus Gödel, Philipp Beckmann, Laura Heger, Jan-Michel Kobe, Carsten Kutsch, Nadine Borchmann, Peter Dietlein, Markus Herrmann, Ken Stelljes, Matthias Rahbar, Kambiz Lenz, Georg Reinhardt, H. Christian Teichert, Marcel Noppeney, Richard Albring, Jörn C. Seifert, Robert von Tresckow, Bastian Flossdorf, Sarah Hanoun, Christine Hemasphere Article The introduction of chimeric antigen receptor (CAR) T-cell therapy has led to a fundamental shift in the management of relapsed and refractory large B-cell lymphoma. However, our understanding of risk factors associated with non-response is still insufficient and the search for predictive biomarkers continues. Some parameters measurable on (18)F-fluorodeoxyglucose positron emission tomography (PET) may be of additional value in this context. A total of 47 individuals from three German university centers who underwent re-staging with PET prior to CAR T-cell therapy were enrolled into the present study. After multivariable analysis considering tumor characteristics and patient factors that might affect progression-free survival (PFS), we investigated whether metabolic tumor volume (MTV) or maximum standardized uptake value (SUV(max)) further improve risk stratification. Their most suitable cut-offs were determined by Cox and logistic regression. Forward selection identified extra-nodal disease as the most predictive factor of those routinely available, and we found it to be associated with significantly inferior overall survival after CAR T-cell treatment (P = 0.012). Furthermore, patients with MTV and SUV(max) higher than the optimal threshold of 11 mL and 16.7, respectively, experienced shorter PFS (P = 0.016 and 0.002, respectively). Hence, these risk factors might be useful for selection of individuals likely to benefit from CAR T-cell therapy and their management. Lippincott Williams & Wilkins 2023-01-06 /pmc/articles/PMC9829285/ /pubmed/36698613 http://dx.doi.org/10.1097/HS9.0000000000000817 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the European Hematology Association. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal. |
spellingShingle | Article Voltin, Conrad-Amadeus Gödel, Philipp Beckmann, Laura Heger, Jan-Michel Kobe, Carsten Kutsch, Nadine Borchmann, Peter Dietlein, Markus Herrmann, Ken Stelljes, Matthias Rahbar, Kambiz Lenz, Georg Reinhardt, H. Christian Teichert, Marcel Noppeney, Richard Albring, Jörn C. Seifert, Robert von Tresckow, Bastian Flossdorf, Sarah Hanoun, Christine Outcome Prediction in Patients With Large B-cell Lymphoma Undergoing Chimeric Antigen Receptor T-cell Therapy |
title | Outcome Prediction in Patients With Large B-cell Lymphoma Undergoing Chimeric Antigen Receptor T-cell Therapy |
title_full | Outcome Prediction in Patients With Large B-cell Lymphoma Undergoing Chimeric Antigen Receptor T-cell Therapy |
title_fullStr | Outcome Prediction in Patients With Large B-cell Lymphoma Undergoing Chimeric Antigen Receptor T-cell Therapy |
title_full_unstemmed | Outcome Prediction in Patients With Large B-cell Lymphoma Undergoing Chimeric Antigen Receptor T-cell Therapy |
title_short | Outcome Prediction in Patients With Large B-cell Lymphoma Undergoing Chimeric Antigen Receptor T-cell Therapy |
title_sort | outcome prediction in patients with large b-cell lymphoma undergoing chimeric antigen receptor t-cell therapy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9829285/ https://www.ncbi.nlm.nih.gov/pubmed/36698613 http://dx.doi.org/10.1097/HS9.0000000000000817 |
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