Outcome of patients with large B-cell lymphoma relapsing after second-line CAR-t: Insights from the descar-t registry

Abstract Background: Relapse after CAR T-cell therapy in large B-cell lymphoma (LBCL) is associated with poor prognosis, lacking a clear salvage standard and supported by limited evidence. Patients receiving second-line (2L) CAR T-cells typically have high-risk features, such as chemo-refractory disease or early relapse after frontline therapy. Those who fail 2L CAR T-cells represent a particularly challenging subgroup. We evaluated outcomes and the impact of salvage therapies in LBCL patients relapsing after 2L CAR T-cell treatment (trt). Methods: We performed a retrospective analysis using the French DESCAR-T registry. Salvage trts were categorized as: BsAbs monotherapy (BI), BsAbs-based combinations (BIC: BsAbs + chemo or IMiDs), chemotherapy (CH: DHA(OX/C/P) or ICE), and other therapies (targeted agents, IMiDs, radiotherapy). The primary endpoint was overall survival after post–CAR T-cell relapse (OS2). Secondary endpoints included overall response rate to salvage therapy (ORR2), progression-free survival from relapse (PFS2) and PFS2/OS2 by salvage trt. Propensity score weighting was used to adjust for baseline differences. Results: Among the 893 pts with R/R LBCL treated with anti-CD19 CAR-T cells in 2L (axi-cel:85.2%; liso-cel:4.8%), 297 (33%) experienced disease progression. Among pts who experienced relapse after 2L CAR T-cell therapy, the best response prior to progression was complete or partial remission (CR/PR) in 70.4% (n=171), whereas 29.6% (n=72) had stable or progressive disease (SD/PD). At relapse, these pts had a median age of 62 years (range, 19–86), and 24% were ≥70, 47% were ECOG≥2, LDN>ULN: 48% and CRP≥30 mg/L: 7.8%. Median time from CAR T-cell to relapse was 2.7 months (IQR 1.4–3.3); 33% relapsed within 2 months, 55% between 2–6 months, and 12% after 6 months. Of the 297 pts, 231 (78%) began salvage trt within a median of 15 days post-relapse (IQR: 7–34). Baseline characteristics were similar between treated and non-treated pts, except for older age in the non-treated group (67 vs 61 years; p=0.033). Salvage regimens included BI (n=121, 52.4%), BIC (n=29, 12.6%), CH (n=29, 12.6%), and other (n=52, 22.5%). Among 156 evaluable pts, ORR2 was 39.1% including CR in 27.6% and PR in 11.5%. CR rates were higher in pts with ECOG 0–1 (25.0% vs 10.7%) and pts with late relapsed: 15.6% when <2 months, 16.5% between 2–6 months, and 30.7% when >6 months. The ORR after trt was 39.6% in the BI group, 29.5% in the BIC group, 50% in the CH group, and 33.3% in the other trt group, with corresponding CR rates of 29.6%, 10.9%, 41.7% and 18.1%. The median PFS2 was 3.4 months (IQR 1.8–11.5). Median PFS2 by trt was 3.7 months for BI, 2.9 months for BIC, 2.4 months for CH, and 1.7 months for other therapies. PFS2 was numerically longer with BI: HR 0.58 (BI vs other; 95%CI, 0.37–0.89) with a global p-value <0.001). After a median follow-up of 8.4 months (IQR 3.4–11.3), median OS2 was 6.5 months (IQR 3.2–22.4). In univariate analysis, the following variables, assessed at the time of relapse, were associated with longer OS2: lower ECOG (0–1 vs ≥2; HR 0.64, 95%CI 0.44–0.94, p=0.021), CRP<30 mg/L (HR 0.39, 95%CI 0.18–0.87, p=0.022), higher hemoglobin (per 1 g/dL; HR 0.91, 95%CI 0.83–1.00, p=0.047), and directly better prior response to CAR T-cells (CR/PR vs SD/PD; HR 0.52, 95%CI 0.35–0.76, p<0.001). No significant association was found for refractory pts to frontline therapy, histology subtype, CAR T product, response to bridging therapy, early progression after CAR T-cells, LDH/aaIPI/Ann Arbor stage/ bulk disease or neutrophil counts at progression. In multivariate analysis, CRP<30 mg/L (HR 0.41, 95%CI 0.18–0.91, p=0.029) and ECOG<2 (HR 0.59, 95% CI 0.36–0.99, p=0.046) remained independent OS2 predictors. By subgroups, median OS2 from trt start was 7.1, 4.9, 6.3 and 5.9 months for pts treated with BI, BIC, CH, and other therapies, respectively. In the weighted cohort (n=231), covariate balance was achieved across nine covariates (pairwise ASMD<0.3). OS2 was numerically longer with BI: HR 1.30 (CH vs BI; 95%CI, 0.76–2.24), 0.55 (BI vs BIC; 0.31–0.95), and 0.64 (BI vs other; 0.40–1.03), with a global p-value of 0.0094. Conclusion: This real-world analysis confirms the poor outcomes of R/R LBCL pts after 2L CAR T-cell therapy. BsAbs were the most frequently used and currently appear the most effective salvage option. These results highlight the urgent need for prospective trials and novel combination strategies in this high-risk population.

Authors

Institutions

Publication Details

Journal
Blood
Published
2025-11-03
DOI
https://doi.org/10.1182/blood-2025-956
Primary Topic
CAR-T cell therapy research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Outcome of patients with large B-cell lymphoma relapsing after second-line CAR-t: Insights from the descar-t registry

Jérôme Paillassa, Emelie Van Zele, Michael L. Loschi, Sylvain Choquet et al.
Blood
CAR-T cell therapy research
article

Outcome of patients with large B-cell lymphoma relapsing after second-line CAR-t: Insights from the descar-t registry

Jérôme Paillassa, Emelie Van Zele, Michael L. Loschi, Sylvain Choquet, Steven Le Gouill, Pierre Bories, Gabriel Brisou, Luc‐Matthieu Fornecker, Adrien Chauchet, Roch Houot, Antoine Capes, Catherine Thiéblemont, Cristina Castilla‐Llorente, Stéphanie Guidez, Laure Lebras, Franck Morschhauser, Guillaume Manson, Gandhi Laurent Damaj, Fabien Claves, Olivier Hermine, Vincent Camus, Pierre Sesques, Guillaume Cartron, Laura Herbreteau, Benoît Tessoulin, Cédric Rossi, Justine Decroocq, Axel André, François‐Xavier Gros, Hadia Khebbeb Hafirassou, Marie‐Thérèse Rubio, Julie Abraham, Jean-Valère Malfuson, Ludovic Fouillet, Laurianne Drieu La Rochelle, Magalie Joris, Jacques‐Olivier Bay, Vivien Dupont
article en

Abstract

Abstract Background: Relapse after CAR T-cell therapy in large B-cell lymphoma (LBCL) is associated with poor prognosis, lacking a clear salvage standard and supported by limited evidence. Patients receiving second-line (2L) CAR T-cells typically have high-risk features, such as chemo-refractory disease or early relapse after frontline therapy. Those who fail 2L CAR T-cells represent a particularly challenging subgroup. We evaluated outcomes and the impact of salvage therapies in LBCL patients relapsing after 2L CAR T-cell treatment (trt). Methods: We performed a retrospective analysis using the French DESCAR-T registry. Salvage trts were categorized as: BsAbs monotherapy (BI), BsAbs-based combinations (BIC: BsAbs + chemo or IMiDs), chemotherapy (CH: DHA(OX/C/P) or ICE), and other therapies (targeted agents, IMiDs, radiotherapy). The primary endpoint was overall survival after post–CAR T-cell relapse (OS2). Secondary endpoints included overall response rate to salvage therapy (ORR2), progression-free survival from relapse (PFS2) and PFS2/OS2 by salvage trt. Propensity score weighting was used to adjust for baseline differences. Results: Among the 893 pts with R/R LBCL treated with anti-CD19 CAR-T cells in 2L (axi-cel:85.2%; liso-cel:4.8%), 297 (33%) experienced disease progression. Among pts who experienced relapse after 2L CAR T-cell therapy, the best response prior to progression was complete or partial remission (CR/PR) in 70.4% (n=171), whereas 29.6% (n=72) had stable or progressive disease (SD/PD). At relapse, these pts had a median age of 62 years (range, 19–86), and 24% were ≥70, 47% were ECOG≥2, LDN>ULN: 48% and CRP≥30 mg/L: 7.8%. Median time from CAR T-cell to relapse was 2.7 months (IQR 1.4–3.3); 33% relapsed within 2 months, 55% between 2–6 months, and 12% after 6 months. Of the 297 pts, 231 (78%) began salvage trt within a median of 15 days post-relapse (IQR: 7–34). Baseline characteristics were similar between treated and non-treated pts, except for older age in the non-treated group (67 vs 61 years; p=0.033). Salvage regimens included BI (n=121, 52.4%), BIC (n=29, 12.6%), CH (n=29, 12.6%), and other (n=52, 22.5%). Among 156 evaluable pts, ORR2 was 39.1% including CR in 27.6% and PR in 11.5%. CR rates were higher in pts with ECOG 0–1 (25.0% vs 10.7%) and pts with late relapsed: 15.6% when <2 months, 16.5% between 2–6 months, and 30.7% when >6 months. The ORR after trt was 39.6% in the BI group, 29.5% in the BIC group, 50% in the CH group, and 33.3% in the other trt group, with corresponding CR rates of 29.6%, 10.9%, 41.7% and 18.1%. The median PFS2 was 3.4 months (IQR 1.8–11.5). Median PFS2 by trt was 3.7 months for BI, 2.9 months for BIC, 2.4 months for CH, and 1.7 months for other therapies. PFS2 was numerically longer with BI: HR 0.58 (BI vs other; 95%CI, 0.37–0.89) with a global p-value <0.001). After a median follow-up of 8.4 months (IQR 3.4–11.3), median OS2 was 6.5 months (IQR 3.2–22.4). In univariate analysis, the following variables, assessed at the time of relapse, were associated with longer OS2: lower ECOG (0–1 vs ≥2; HR 0.64, 95%CI 0.44–0.94, p=0.021), CRP<30 mg/L (HR 0.39, 95%CI 0.18–0.87, p=0.022), higher hemoglobin (per 1 g/dL; HR 0.91, 95%CI 0.83–1.00, p=0.047), and directly better prior response to CAR T-cells (CR/PR vs SD/PD; HR 0.52, 95%CI 0.35–0.76, p<0.001). No significant association was found for refractory pts to frontline therapy, histology subtype, CAR T product, response to bridging therapy, early progression after CAR T-cells, LDH/aaIPI/Ann Arbor stage/ bulk disease or neutrophil counts at progression. In multivariate analysis, CRP<30 mg/L (HR 0.41, 95%CI 0.18–0.91, p=0.029) and ECOG<2 (HR 0.59, 95% CI 0.36–0.99, p=0.046) remained independent OS2 predictors. By subgroups, median OS2 from trt start was 7.1, 4.9, 6.3 and 5.9 months for pts treated with BI, BIC, CH, and other therapies, respectively. In the weighted cohort (n=231), covariate balance was achieved across nine covariates (pairwise ASMD<0.3). OS2 was numerically longer with BI: HR 1.30 (CH vs BI; 95%CI, 0.76–2.24), 0.55 (BI vs BIC; 0.31–0.95), and 0.64 (BI vs other; 0.40–1.03), with a global p-value of 0.0094. Conclusion: This real-world analysis confirms the poor outcomes of R/R LBCL pts after 2L CAR T-cell therapy. BsAbs were the most frequently used and currently appear the most effective salvage option. These results highlight the urgent need for prospective trials and novel combination strategies in this high-risk population.

BloodVol. 146(Supplement 1)
Hôpital Necker-Enfants Malades (FR), Université de Montpellier (FR), Institut Gustave Roussy (FR), Centre Hospitalier Universitaire de Lille (FR), Centre Hospitalier Universitaire Henri-Mondor (FR), Université de Poitiers (FR), Sorbonne Université (FR), Centre Hospitalier Universitaire de Besançon (FR), Institut de Cancérologie Strasbourg (FR), Hôpital Cochin (FR), Centre Hospitalier Universitaire de Tours (FR), Communauté urbaine de Lyon (FR), Centre Hospitalier Universitaire Amiens-Picardie (FR), Institut universitaire du cancer de Toulouse Oncopole (FR), Hôpital Bretonneau (FR), Centre Hospitalier Régional et Universitaire de Nancy (FR), Hôpital Saint-Antoine (FR), Centre Léon Bérard (FR), The Lymphoma Academic Research Organisation (FR), Centre Hospitalier Universitaire de Caen Normandie (FR), Conseil Régional de Basse-Normandie (FR), Hôpital Nord (FR), Hôpital l'Archet (FR), Pitié-Salpêtrière Hospital (FR), Hôpital Pontchaillou (FR), Neurocentre Magendie (FR), Centre d'Investigation Clinique de Nantes (FR), Centre Hospitalier Universitaire de Clermont-Ferrand (FR), Hôpitaux Universitaires Henri-Mondor (FR), Montpellier Business School (FR), Centre Hospitalier Régional Universitaire de Brest (FR), Hôpital d'instruction des Armées Percy (FR), Laboratoire National Henri Becquerel (FR), Maison des Sciences sociales et des Humanités de Dijon (FR), Hôpital Saint-Louis (FR), Institut Paoli-Calmettes (FR), Hôpital Claude Huriez (FR), Centre Hospitalier Universitaire de Saint-Étienne (FR), Hôpital Dupuytren (FR), Hôpital Albert Michallon (FR), Université d'Angers (FR), Institut Curie (FR), Université de Caen Normandie (FR)
Openalex Percentile: Top 46%
CAR-T cell therapy research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.