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Record W4389221884 · doi:10.1182/blood-2023-178815

Identification and Clinical Characterization of CNS Relapse in DLBCL Patients across 19 Prospective Phase 2 and 3 Trials - a GLA/ DSHNHL and LYSA Collaboration

2023· article· en· W4389221884 on OpenAlexaff
Fabian Frontzek, Loïc Renaud, Ulrich Duehrsen, Viola Poeschel, Sophie Bernard, Loïc Chartier, Nicolas Ketterer, Christian Récher, Olivier Fitoussi, Gerhard Held, Olivier Casasnovas, Corinne Haïoun, Nicolas Mounier, Hervé Tilly, Franck Morschhauser, Steven Le Gouill, Imke E. Karsten, Gerben Duns, Christian Steidl, David W. Scott, Wolfgang Hiddemann, Andreas Rosenwald, German Ott, Thierry Jo Molina, Georg Lenz, Marita Ziepert, Bettina Altmann, Catherine Thiéblemont, Norbert Schmitz

Bibliographic record

VenueBlood · 2023
Typearticle
Languageen
FieldMedicine
TopicRadiopharmaceutical Chemistry and Applications
Canadian institutionsBC Cancer AgencySpinal Cord Injury BCOccupational Cancer Research Centre
Fundersnot available
KeywordsMedicineInternal medicineDiffuse large B-cell lymphomaRituximabOncologyClinical endpointSalvage therapyClinical trialLymphomaChemotherapy

Abstract

fetched live from OpenAlex

Introduction: Depending on clinical and molecular risk factors, CNS relapse occurs in 1-15% of DLBCL patients (pts) and is associated with dismal outcomes. Despite its important role in further improving DLBCL therapy, a comprehensive and large-scale characterization of secondary CNS relapse remains challenging. Methods: We conducteda retrospective analysis of 7775 pts treated within 19 prospective German and French phase 2/3 trials to identify and characterize DLBCL pts with progression or relapse in the CNS. Pts with histology different from DLBCL (subtypes), not treated with anti-CD20 antibody, or displaying CNS involvement at diagnosis were excluded from the analysis. Results: Among 5289 eligible pts, 159 (3%) experienced progression or relapse in the CNS. Median age at diagnosis was 62 years (range: 19-80 years), 47% of pts were female. In 91% of all cases, reference pathology confirmed the diagnosis of DLBCL. At diagnosis, 28 pts (18%), 62 pts (39%), and 69 pts (43%) had a low (0-1 point), intermediate, and high CNS IPI (4-6 points), respectively. 133 pts received front-line therapy with R/O-CHOP, 19 pts with R-(Mega)CHOEP, and 7 pts with R/O-ACVBP. Following first-line therapy, 54% of pts achieved a CR/CRu. For 131 pts (82%), CNS progress/ relapse represented the first PFS event. Prior to the CNS event, salvage therapy was administered to 30 pts, including 11 pts treated with HDT/ASCT and one pt receiving allogeneic SCT. For 70 out of 158 pts (44%), CNS involvement was classified as intracerebral, 31% showed meningeal, and 3% intraspinal lymphoma involvement. In 22% of pts, CNS involvement was classified as combined including 5 cases with eye involvement. The CNS event occurred as progression without prior CR/ CRu of disease in 61 out of 159 pts (38%). For 155 pts it could be specified that 25% had an isolated progress in the CNS while 12% showed both CNS and concomitant systemic progress. 35% of pts showed an isolated CNS relapse while 28% suffered from a combined relapse. 82% of all CNS events occurred within the first two years after randomization while 29 pts (18%) experienced a late CNS event after 24 months. Notably, 46% of pts with low CNS IPI developed a late CNS event compared to 9% with high CNS IPI at diagnosis (Fisher exact, p<0.001). During the course of disease, 138 pts (87%) showed extranodal lymphoma involvement outside the CNS. The most frequently involved extranodal sites were bone (34%), gastro-intestinal tract (21%), soft-tissue (21%), kidney/ adrenal gland (20%), lung (19%), and liver (18%). In general, pts with CNS event had poor outcomes with a median OS of 3.4 months (95% CI 2.9-4.2) and a 2-year OS of only 15% (10-22%). While sex and initial (CNS) IPI had no impact on OS, we observed significantly worse OS for pts older than 70 years at diagnosis (log rank, p<0.001). OS was poor regardless of the site of CNS manifestation. Pts with isolated CNS disease demonstrated significantly better OS than pts with concomitant systemic involvement (p=0.023). Pts with CNS events occurring later than 24 months from randomization did not show improved OS compared to pts with early relapse/ progression (p=0.19). Treatment categories were reported for 150 pts. 95 pts received immunochemotherapy (IC), 30 pts in combination with radiotherapy (RT). More precisely, 69 pts received salvage therapies containing systemic MTX and 22 pts underwent consolidation with HDT/ASCT (73% of which had thiotepa-based conditioning regimens). Three pts received allogeneic SCT for consolidation. 28 pts were treated with RT alone (+/- intrathecal therapy (IT)). 27 pts received only IT, corticosteroids, or no treatment. Pts consolidated with HDT/ ASCT or allogeneic SCT had superior outcomes with a 3-year OS of 36% (20%-66%) compared to 18% (7.5%-44%) for pts receiving IC and RT, and to 9.7% (3.9%-24%) and 9.5% (2.8-32%) for pts treated with IC or RT alone, respectively ( Fig. 1). Overall, pts achieving a CR after CNS event (38/159, 24%) showed a 3-year OS of 52% (37-73%). Conclusions: This large study including more than 5000 DLBCL pts all treated on prospective clinical trials highlights the unmet medical need to improve the outcome of DLBCL pts suffering from CNS relapse. About one third of pts who underwent transplantation showed long-term survival in contrast to all other pts displaying very dismal outcomes. Novel strategies including targeted therapies and CAR T cells will have to challenge the survival rates reported here.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.023
metaresearch head score (Gemma)0.010
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.023
Threshold uncertainty score0.122

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0230.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.002
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.053
GPT teacher head0.443
Teacher spread0.390 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2023
Admission routes1
Has abstractyes

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