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Published in: European Journal of Nuclear Medicine and Molecular Imaging 5/2024

Open Access 20-12-2023 | CAR T-Cell Therapy | Original Article

Multicenter development of a PET-based risk assessment tool for product-specific outcome prediction in large B-cell lymphoma patients undergoing CAR T-cell therapy

Authors: Conrad-Amadeus Voltin, Andrea Paccagnella, Michael Winkelmann, Jan-Michel Heger, Beatrice Casadei, Laura Beckmann, Ken Herrmann, Franziska J. Dekorsy, Nadine Kutsch, Peter Borchmann, Stefano Fanti, Wolfgang G. Kunz, Marion Subklewe, Carsten Kobe, Pier Luigi Zinzani, Matthias Stelljes, Katrin S. Roth, Alexander Drzezga, Richard Noppeney, Kambiz Rahbar, H. Christian Reinhardt, Bastian von Tresckow, Robert Seifert, Jörn C. Albring, Viktoria Blumenberg, Andrea Farolfi, Sarah Flossdorf, Philipp Gödel, Christine Hanoun

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 5/2024

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Abstract

Purpose

The emergence of chimeric antigen receptor (CAR) T-cell therapy fundamentally changed the management of individuals with relapsed and refractory large B-cell lymphoma (LBCL). However, real-world data have shown divergent outcomes for the approved products. The present study therefore set out to evaluate potential risk factors in a larger cohort.

Methods

Our analysis set included 88 patients, treated in four German university hospitals and one Italian center, who had undergone 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography (PET) before CAR T-cell therapy with tisagenlecleucel or axicabtagene ciloleucel. We first determined the predictive value of conventional risk factors, treatment lines, and response to bridging therapy for progression-free survival (PFS) through forward selection based on Cox regression. In a second step, the additive potential of two common PET parameters was assessed. Their optimal dichotomizing thresholds were calculated individually for each CAR T-cell product.

Results

Extra-nodal involvement emerged as the most relevant of the conventional tumor and patient characteristics. Moreover, we found that inclusion of metabolic tumor volume (MTV) further improves outcome prediction. The hazard ratio for a PFS event was 1.68 per unit increase of our proposed risk score (95% confidence interval [1.20, 2.35], P = 0.003), which comprised both extra-nodal disease and lymphoma burden. While the most suitable MTV cut-off among patients receiving tisagenlecleucel was 11 mL, a markedly higher threshold of 259 mL showed optimal predictive performance in those undergoing axicabtagene ciloleucel treatment.

Conclusion

Our analysis demonstrates that the presence of more than one extra-nodal lesion and higher MTV in LBCL are associated with inferior outcome after CAR T-cell treatment. Based on an assessment tool including these two factors, patients can be assigned to one of three risk groups. Importantly, as shown by our study, metabolic tumor burden might facilitate CAR T-cell product selection and reflect the individual need for bridging therapy.
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Literature
33.
go back to reference Kamdar M, Solomon SR, Arnason J, Johnston PB, Glass B, Bachanova V, et al. Lisocabtagene maraleucel versus standard of care with salvage chemotherapy followed by autologous stem cell transplantation as second-line treatment in patients with relapsed or refractory large B-cell lymphoma (TRANSFORM): results from an interim analysis of an open-label, randomised, phase 3 trial. Lancet. 2022;399(10343):2294–308. https://doi.org/10.1016/S0140-6736(22)00662-6.CrossRefPubMed Kamdar M, Solomon SR, Arnason J, Johnston PB, Glass B, Bachanova V, et al. Lisocabtagene maraleucel versus standard of care with salvage chemotherapy followed by autologous stem cell transplantation as second-line treatment in patients with relapsed or refractory large B-cell lymphoma (TRANSFORM): results from an interim analysis of an open-label, randomised, phase 3 trial. Lancet. 2022;399(10343):2294–308. https://​doi.​org/​10.​1016/​S0140-6736(22)00662-6.CrossRefPubMed
Metadata
Title
Multicenter development of a PET-based risk assessment tool for product-specific outcome prediction in large B-cell lymphoma patients undergoing CAR T-cell therapy
Authors
Conrad-Amadeus Voltin
Andrea Paccagnella
Michael Winkelmann
Jan-Michel Heger
Beatrice Casadei
Laura Beckmann
Ken Herrmann
Franziska J. Dekorsy
Nadine Kutsch
Peter Borchmann
Stefano Fanti
Wolfgang G. Kunz
Marion Subklewe
Carsten Kobe
Pier Luigi Zinzani
Matthias Stelljes
Katrin S. Roth
Alexander Drzezga
Richard Noppeney
Kambiz Rahbar
H. Christian Reinhardt
Bastian von Tresckow
Robert Seifert
Jörn C. Albring
Viktoria Blumenberg
Andrea Farolfi
Sarah Flossdorf
Philipp Gödel
Christine Hanoun
Publication date
20-12-2023
Publisher
Springer Berlin Heidelberg
Published in
European Journal of Nuclear Medicine and Molecular Imaging / Issue 5/2024
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI
https://doi.org/10.1007/s00259-023-06554-0

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