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Journal of Hematology & Oncology logoLink to Journal of Hematology & Oncology
. 2026 Jul 1;19:67. doi: 10.1186/s13045-026-01816-4

Short ramp-up glofitamab halves mortality risk after anti-CD19 CAR T-cell therapy failure in patients with diffuse large B-cell lymphoma: final results of the LYSA BiCAR phase 2 trial with a pre-specified external control arm

Guillaume Cartron 1,2,✉, Isabelle Chaillol 3, Roch Houot 4,5, Yassine Al Tabaa 6, Fabien Le Bras 7, Loïc Ysebaert 8,9, Sylvain Choquet 10, Fabrice Jardin 11,12, Jacques-Olivier Bay 13, François-Xavier Gros 14, Franck Morschhauser 15,16, Cédric Rossi 17,18, Thomas Gastinne 19, Catherine Thieblemont 20,21, Magalie Joris 22, Laure Ricard 23, Caroline Regny 24, Laurianne Drieu La Rochelle 25, Pierre Feugier 26,27, Ambroise Marcais 28, Romain Ould-Ammar 3, Karin Tarte 29, Camille Laurent 9,30, Pierre Sesques 31
PMCID: PMC13536725  PMID: 42393723

Abstract

Background

Failure after anti-CD19 chimeric antigen receptor (CAR) T-cell therapy in diffuse large B-cell lymphoma (DLBCL) is associated with poor survival and there is no established standard of care. We previously reported the phase 2 LYSA BiCAR trial of short-ramp-up glofitamab after CAR T-cell failure. Here, we present the final survival results and a pre-specified external comparative effectiveness analysis against a contemporary control arm constructed from academic data.

Methods

BiCAR is a multicenter, single-arm trial in adults with CD20-positive DLBCL refractory to, or in first relapse/progression after anti-CD19 CAR T-cell therapy. Participants received obinutuzumab pretreatment followed by intravenous glofitamab with an accelerated step-up to 30 mg within 8 days, then 30 mg every 21 days for up to 11 cycles. For comparative analyses, we constructed an external control arm from patients included in the French DESCAR-T registry and the ALYCANTE phase 2 trial who experienced CAR T-cell failure, who subsequently started non-bispecific systemic therapy, met key BiCAR eligibility criteria, and initiated treatment within a ±1-month window around the BiCAR treatment period. To minimise datasource bias, both arms, glofitamab (BICAR) and control, were constructed from individual patient data from the DESCAR-T registry and the ALYCANTE trial. A propensity score including major prognostic variables was estimated and applied using stabilized inverse probability of treatment weighting with multiple imputation. Additional weighting schemes and restrictions were applied in sensitivity analyses, and restricted mean survival time (RMST) was evaluated by treatment arm.

Results

Among 47 enrolled BiCAR patients, 46 received glofitamab. At a median follow-up of 30.4 months, median overall survival (OS) was 17.3 months, and the 2-year OS rate was 38.3%. For comparative effectiveness, 45 glofitamab-treated patients and 133 controls formed the analysis cohort. In the primary weighted analysis, median OS was 19.6 months for glofitamab and 7.6 months for controls, with a hazard ratio for death of 0.49 (95% CI, 0.31–0.79; P = 0.007). Multiple sensitivity analyses yielded consistent estimates. Glofitamab significantly improved the RMST of 5 months (P = 0.007) over a 2-year follow-up.

Conclusions

In this robust comparative effectiveness study, short-ramp-up glofitamab administered at first relapse or progression after CAR T-cell failure significantly increases the chance of survival compared to contemporaneous non–bispecific salvage therapies, supporting its use as a preferred option for eligible patients with DLBCL who fail anti-CD19 CAR T-cell therapy.

Trial registration

ClinicalTrials.gov identifier NCT04703686.

Supplementary Information

The online version contains supplementary material available at https://doi.org/10.1186/s13045-026-01816-4.

Keywords: Diffuse large B-cell lymphoma, CAR T-cell therapy, Glofitamab, Bispecific antibodies, Comparative effectiveness, External control, Real-world data, LYSA

Background

Anti-CD19 CAR T-cell therapies have transformed outcomes for patients with relapsed or refractory (R/R) large B-cell lymphomas (LBCL), but 50–60% ultimately experience primary refractory disease or relapse after infusion. The median overall survival (OS) is then approximately 6 months once CAR T-cell failure occurred, regardless of whether CAR T-cells were infused in second-line [1, 2], or in third-line or more [3–6]. In this setting, there is no established standard of care. While conventional salvage strategies (including various chemo-immunotherapy or targeted combinations) have generally demonstrated limited efficacy, CD20 × CD3 bispecific antibodies (BsAbs), including glofitamab, have demonstrated substantial activity in R/R LBCL. Importantly, subgroup analyses from clinical trials have suggested that clinical response to BsAbs is maintained even in patients who failed prior CAR T-cell therapy, indicating that a history of CAR-T does not negatively influence their efficacy [7–10]. However, those phase I/II studies enrolled heterogeneous populations including patients both with and without prior CAR T-cell exposure and were not specifically designed for the post-CAR T-cell setting. Furthermore, they lacked direct comparisons between BsAbs and alternative salvage therapies following CAR T-cell failure. Consequently, the use of CD20 × CD3 BsAbs as the preferred strategy for patients relapsing after CAR T-cell therapy remains largely empirical. The LYSA BiCAR trial is a prospective multicenter phase 2 study specifically dedicated to adults with CD20-positive DLBCL who are refractory to, or in first relapse/progression after anti-CD19 CAR T-cell therapy and evaluates glofitamab using an intensified “short ramp-up” schedule that reaches the full 30-mg dose within one week. In the primary analysis (median follow-up 15.3 months), short-ramp-up glofitamab yielded a median OS of 14.7 months, a best overall metabolic response (OR) rate of 76.1%, and a best complete metabolic response (CR) rate of 45.7%, with no grade ≥ 3 cytokine release syndrome (CRS) or neurotoxicity [11]. Beyond demonstrating feasibility and clinical activity, a central clinical question remains whether glofitamab improves survival relative to the non- BsAbs regimens actually used in practice after CAR T-cell failure. While indirect comparisons suggest that bispecific antibodies are at least as effective as conventional salvage therapies [3, 5, 12], robust comparative effectiveness data are scarce.

Here, we report the final survival results of BiCAR, together with a robust pre-specified external comparative effectiveness analysis of glofitamab against contemporaneous non-bispecific salvage strategies. This analysis is based on data from the DESCAR-T national CAR T-cell registry [13] and the ALYCANTE phase 2 trial [14].

Methods

Study design

This study combines the BiCAR trial (NCT04703686), a prospective, multicenter, single-arm phase 2 study of short-ramp-up glofitamab after CAR T-cell failure conducted by LYSA/LYSARC [11], and an external comparative effectiveness analysis of glofitamab against contemporaneous non-bispecific salvage strategies after CAR-T cell failure. To minimise datasource bias, the two arms, the glofitamab arm (BiCAR patients) and the control arm, were built from individual patient data in the DESCAR-T registry and ALYCANTE trial. The comparative endpoint was OS from initiation of post-CAR T therapy. All comparative analyses were planned in the protocol and prespecified in a dedicated statistical analysis plan.

Populations, endpoints and setting

BiCAR trial

Eligibility criteria

BiCAR enrolled adults (≥ 18 years) between May 2021 and April 2023,with biopsy-proven CD20-positive DLBCL who were refractory to, or in first relapse/progression after, anti-CD19 CAR T-cell therapy given ≥ 1 month before enrollment; had ECOG performance status 0–1; at least one measurable lesion > 1.5 cm on PET-CT; adequate hepatic, renal and hematologic function; and life expectancy ≥ 3 months. Patients with CD20-negative disease, primary CNS lymphoma or CNS involvement, relapse within 30 days of CAR T infusion, uncontrolled infection or prior allogeneic transplant were excluded [11]. All participants provided written informed consent.

Treatment and assessmTreatment and assessm

Patients received obinutuzumab 1,000 mg intravenously on day −3, followed by glofitamab intravenously with a short ramp-up during cycle 1 (14 days): 2.5 mg on day 1, 10 mg on day 3, and 30 mg on day 8. From cycle 2 onward, glofitamab 30 mg was given every 21 days for up to 11 cycles. Baseline Positron Emission Tomography-Computed Tomography (PET-CT) and subsequent scans after cycles 2, 4, 6, 9, and 11 were centrally reviewed using Lugano 2014 criteria. Adverse events were graded with Common Terminology Criteria for Adverse Events (CTCAE) v5.0; CRS and neurotoxicity with American Society for Transplantation and Cellular Therapy (ASTCT) criteria. The BiCAR full analysis set (BiCAR-FAS) comprised all patients who received at least one glofitamab dose [11].

BiCAR endpoints and data cutoff

The BiCAR primary endpoint was the OS measured from the date of the first glofitamab infusion to the date of death from any cause, censoring participants who were still alive at the last contact date. Secondary endpoints included progression-free survival (PFS), OR and CR rates, duration of response (DoR) and duration of complete response (DoCR), and safety [11]. The present final analysis uses a BiCAR database export dated June 13th, 2025, with a data cutoff on May 21 st, 2025.

Comparative effectiveness analysis

External data sources

The DESCAR-T registry (NCT04328298) is a nationwide French observational database designed to capture real-world data on adults eligible for commercial anti-CD19 CAR T-cell therapy. The registry provides comprehensive longitudinal data, including baseline patient characteristics, infusion parameters, post-infusion clinical outcomes, and details on subsequent therapeutic interventions. This analysis utilized a data export dated March 13th, 2025.

The ALYCANTE trial (NCT04531046) is a multicenter phase 2 trial evaluating axicabtagene ciloleucel (axi-cel) as second-line therapy in transplant-ineligible patients with large B-cell lymphoma. The dataset used here was exported on October 30th, 2024.

BiCAR clinical data were used to identify BiCAR participants within DESCAR-T and ALYCANTE via matching of birth month/year, initials, and CAR T infusion dates.

Comparative effectiveness populations

Glofitamab arm: The glofitamab arm for comparative analyses included BiCAR participants who: 1/received obinutuzumab and at least one glofitamab dose; 2/were confidently identified in DESCAR-T or ALYCANTE; 3/were not treated with CAR T-cells in another clinical trial with unknown details. Of 46 treated BiCAR patients, 45 were identified in external databases (8 from ALYCANTE, 37 from DESCAR-T), and one treated in an unknown trial was excluded, yielding 45 patients in the glofitamab comparative arm.

Control arm: The control arm comprised DESCAR-T and ALYCANTE patients who: 1/had DLBCL and received commercial axi-cel or tisagenleuclecel (tisa-cel); 2/had stable disease (SD) or progression/relapse from month 1 after CAR T infusion; 3/started systemic post-CAR T treatment other than a CD20 × CD3 bispecific antibody; 4/met main BiCAR inclusion criteria (DLBCL, ECOG 0–1, adequate organ function). Patients receiving a CD20 × CD3 BsAbs as first post–CAR T treatment outside BiCAR were excluded, as BsAbs were accessible in France during the BiCAR recruitment period (May 2021 to April 2023) only within clinical trial protocols; early-access authorisation by the HAS was granted on 13 July 2023, after the end of recruitment. To ensure contemporaneity and comparable follow-up durations, DESCAR-T and ALYCANTE control patients were further required to have initiated their first post-CAR T regimen within a ±1-month calendar window around the BiCAR recruitment period (May 2021 to April 2023). This alignment of treatment timelines was implemented to minimize temporal bias and provide contemporaneous data for the analysis (Fig. 1).

Fig. 1.

Fig. 1

Flow chart of the population constitution for the comparative effectiveness analysis

The BiCAR-FAS is defined as patients who received at least one dose of glofitamab in the BiCAR trial (n = 46); for the comparative analysis, 45 of these patients were matched with the DESCAR-T/ALYCANTE data sources. The control arm was constructed from the DESCAR-T national registry and the ALYCANTE phase 2 trial. Among patients meeting the temporal eligibility criteria, 21 were excluded for receiving a BsAbs as first post-CAR T treatment in ongoing clinical trials; the remaining 133 patients (125 from DESCAR-T and 8 from ALYCANTE) constituted the final control arm.

Comparative full analysis set

Covariates and endpoint

Covariates available in all datasets and considered for propensity-score (PS) estimation were: sex; age at CAR T-cells infusion; number of prior treatment lines including CAR T-cell (L2 vs ≥ L3); time from CAR T-cells infusion to first progression/stable disease; Ann Arbor stage (I–II vs III–IV); lactate dehydrogenase (normal vs > ULN-upper limit normal) at or just before CAR T-cell infusion (or at lymphodepletion if missing); CAR T-cell product (axi-cel vs tisa-cel); response to pre-CAR T bridging therapy (CR/partial response-PR vs stable disease-SD/progression disease-PD vs no bridging); prior autologous stem-cell transplant (yes/no). These covariates were captured at the time of CAR T-cell infusion or before, to ensure consistent availability across the BiCAR trial, the DESCAR-T registry, and the ALYCANTE trial. For the comparative analysis, OS was defined as the time from first glofitamab infusion (glofitamab arm) or first non-bispecific post-CAR T regimen (control arm) to death from any cause; survivors were censored at last contact.

Analysis sets and missing data

Three analysis sets were defined: 1/cFAS, all 178 patients fulfilling comparative criteria; 2/complete case set (CC-set), cFAS patients without missing values in planned PS covariates (n = 165); 3/Weighted pseudo-populations, created by applying PS-based weights (stabilized inverse probability of treatment weighting (sIPTW) [15], standardized mortality ratio weighting (SMRW) [16] to the cFAS.

Missing covariates were handled by complete case analysis using the CC-set and multiple imputation (MI) via MICE with 15 imputations and 100 iterations, generating 15 completed datasets for the primary analysis and pooled using Rubin’s rules.

Propensity score and weighting

The propensity score (probability of receiving glofitamab vs control given covariates) was estimated using logistic regression, including all listed variables, with continuous covariate effects modeled using spline functions. Two weighting schemes were prespecified: 1/sIPTW, targeting the average treatment effect (ATE) in the overall population, with weights of Inline graphic for treated, and Inline graphic for controls with P for proportion of patients in the glofitamab arm and PS of propensity score and; 2/SMRW, targeting the average treatment effect in the control population (ATC), reweighting treated patients to resemble controls. Patients with extreme propensity scores, defined as PS values below 0.025 or above 0.95, were excluded from weighted analyses to avoid undue influence of extreme weights on treatment effect estimates.

Survival analysis

BiCAR trial final analysis

Within the BiCAR-FAS population, OS, PFS, DoR, and DoCR were estimated using Kaplan–Meier methods.

External control comparisons

Primary analysis: For the comparative effectiveness analysis, OS Kaplan–Meier curves were generated for the cFAS and for the weighted pseudo-populations (sIPTW and SMRW sets). The primary analysis was based on MI-sIPTW weighting including all data sources. Survival probabilities, median survival, and quartiles were estimated (if reached) with their 95% CIs. Cox models provided hazard ratios (HR) and 95% CIs for glofitamab versus control; proportional hazards assumptions were checked using Schoenfeld residuals. Differences between arms were tested with log-rank tests. The robustness of observed associations to unmeasured confounding was assessed using the E-value, which quantifies the minimum strength of association that a hypothetical unmeasured confounder would need to have with both the treatment arm and OS to fully explain away the observed HR of glofitamab versus non-BsAbs regimens [17].

Secondary and sensitivity analyses: As a secondary analysis, restricted mean survival time (RMST) over a 2-year follow-up period was calculated as the area under the weighted Kaplan–Meier curve, with between-group comparisons performed using the difference in RMST and its 95% confidence interval estimated via bootstrap with 500 replicates [18]. Pre-specified sensitivity analyses included: 1/MI-SMRW analysis; 2/sIPTW and SMRW on complete-case PS sets; 3/MI-based analyses restricted to DESCAR-T patients only; 4/MI-sIPTW restricted to Ann Arbor stage III–IV patients. Because weighting reduces the contribution of some patients, the effective sample size was calculated after analysis with sIPTW on complete case set, to reflect the equivalent sample size contributing information to the analysis.

Analyses were performed using SAS 9.4 and R 4.4.2.

Results

BiCAR final survival outcomes

Of the 47 enrolled BiCAR cohort-1 patients, 46 received glofitamab and formed the BiCAR-FAS. Patient and disease characteristics have already been published and are summarized in Table 1.

Table 1.

Patient demographic and disease characteristics at inclusion in the BiCAR trial

BiCAR FAS (N = 46)
Median (min–max) age at enrollment, years 64 (30–77)
Sex, n (%)
Female 15 (32.6)
Male 31 (67.4)
ECOG performance status, n (%)
0 23 (50.0)
1 23 (50.0)
Ann Arbor stage, n (%)
I–II 8 (17.4)
III–IV 38 (82.6)
IPI, n (%)
0–2 19 (42.2)
3–4 26 (57.8)
Missing 1
LDH status: > ULN 35 (76.1)
Presence of at least one extranodal site, n (%) 35 (76.1)
Median number of previous lines of lymphoma treatment (minimum–maximum) 3 (2–5)
≥ 3 lines of treatment, n (%) 37 (80.4)
Previous autologous or allogeneic transplant, n (%) 8 (17.4)
Previous CAR-T cell therapy, n (%)
Experimental CAR-T cell product (in clinical trial) 3 (6.5)
Tisa-cel 17 (37.0)
Axi-cel 26 (56.5)
Patient status at screening, n (%)
Refractorya 14 (30.4)
Relapse/progressionb 32 (69.6)
Time between CAR-T cell therapy and relapse/progression, n (%)
1–3 months 9 (28.1)
3–6 months 8 (25.0)
> 6 months 15 (46.9)

Missing data are specified for any variable for which n (%) does not add up to N.

Axi-cel, axicabtagene ciloleucel; CAR-T, chimeric antigen receptor-T; ECOG, Eastern Cooperative Oncology Group; FAS, full analysis set; IPI, international prognostic index; PR, partial response; SD, standard deviation; tisa-cel, tisagenlecleucel; ULN, upper limit of normal.

aRefractory: designates patients who never experienced a metabolic response (i.e., stable or progressive disease) after CAR-T cell therapy.

bRelapse/progression designates patients who experienced a complete/partial response after CAR-T cells, then relapse/progression on subsequent PET-CT.

At the final analysis (data cutoff: 21 May 2025), the median follow-up from first glofitamab infusion was 30.4 months (95% CI, 23.0–31.4). Median OS was 17.3 months (95% CI, 9.0–28.4), with a 2-year OS rate of 38.3% (95% CI, 26.1–50.4) (Fig. 2A). Median PFS was 3.8 months (95% CI, 2.4–15.9) with a 2-year PFS rate of 29.1% (95% CI, 16.5–43.0) (Fig. 2B). Median DoR among responders was 14.9 months (95% CI, 2.9–NR), and median DoCR was not reached (95%CI: 18.7; NR) (Fig. 2C–2D).

Fig. 2.

Fig. 2

Kaplan–Meier curves of overall survival (A), progression-free survival (B), duration of response (C), and duration of complete response (D) in the BiCAR-FAS (n = 46). Time origin is the date of first glofitamab infusion for OS and PFS, and the date of first documented response for DoR and DoCR

Outcomes remained strongly associated with the timing of CAR T-cell failure (Fig. 3A). Median OS was not reached (95% CI: 10.2- NR) in patients with late relapse (> 6 months post-infusion), compared with 11.1 months (95% CI: 5.5–20.0) in those with refractory or early-relapsing disease (≤ 6 months; log-rank P = 0.01). Response after two cycles of glofitamab also predicted outcome; median OS was not reached in patients experiencing CR (95%CI, 16.3-not estimable) versus 10.1 months (95% CI, 4.7–19.0) (P = 0.009) (Fig. 3B). No new safety signals emerged, and safety details were unchanged from the primary report [11].

Fig. 3.

Fig. 3

Kaplan–Meier curves of overall survival in the BiCAR-FAS (n = 46) according to A patient status at glofitamab initiation (late relapse versus refractory or early-relapsing disease) and B complete metabolic response status after two cycles of glofitamab. Time origin is the date of the first glofitamab infusion in panel A and the date of the cycle-2 PET-CT assessment in panel B

Comparative cohorts and baseline characteristics

Within the BiCAR-FAS, 45 patients were matched with the DESCAR-T/ALYCANTE data sources and included in the glofitamab arm, while one patient was excluded as previously described. Out of 3,143 registry and trial-derived patients, 133 controls met the pre-specified eligibility criteria and temporal restrictions for the comparative analysis and received non-bispecific post-CAR-T therapy (Fig. 1).

In the cFAS (n = 178), 65.7% were male, with a median age of 63 years (range: 19–82) at the time of CAR T-cell infusion (Table 2). At CAR T-cells infusion, most patients presented with advanced disease, including 83.5% with Ann Arbor stage III–IV and 50.0% with LDH levels above the ULN. Most patients (84.8%) had received CAR T-cell therapy in the third-line setting or later, with 65.7% having received axi-cel. The median time from CAR T-cell infusion to relapse or progression was 3.0 months (IQR 1.84–5.88). The median time from CAR T-cell failure to initiation of post–CAR T therapy was 1.08 months (IQR 0.8–1.6) in the glofitamab arm and 0.89 months (IQR 0.8–1.6) in the control arm, with comparable distributions across both arms (Table 2). Baseline features were generally comparable between the glofitamab (n = 45) and control (n = 133) arms, with slightly more advanced disease (93.0% vs 80.3% stage III–IV), LDH within normal values (51.1% vs 42.1% normal LDH), no response after pre-CAR-T bridging (61.4% vs 50.4% no responder) and prior ASCT (18.2% vs 12.8%) in the glofitamab arm (Table 2). Control patients received heterogeneous salvage therapy following CAR T-cell failure, including lenalidomide-based treatment (43.6%), chemotherapy-based treatment (29.3%), radiotherapy-based treatment (9.8%), or others, including clinical trial (16.5%) (Table S1). Best response in the control arm was CR in 8.3% and PR in 4.5%, while 72.0% had progressive disease. Median OS was 5.5 months (95% CI: 3.9–9.0), 5.9 months (95% CI: 3.5–7.4), 10.3 months (4.1-NA), and 12.5 months (5.5-NA) in lenalidomide-, chemotherapy-, radiotherapy-based, and other/clinical trial groups of patients, respectively. Formal comparisons across treatment categories were not performed, given the small subgroup sizes, declining numbers at risk over follow-up, unmeasured baseline imbalances, and the inability to apply robust adjustment methods at this scale.

Table 2.

Patients’ characteristics from the control and BiCAR arm from the cFAS set and the CC-set

cFAS set
N = 178
CC-set
N = 165
Control
N = 133
Glofitamab
N = 45
Control
N = 125
Glofitamab
N = 40
Age at CAR-T infusion
Median (range) 63 (19–82) 63 (30–77) 63 (19–82) 64 (30–77)
Sex
Male, N (%) 87 (65.4) 30 (66.7) 83 (66.4) 27 (67.5)
Time from CAR T-cell infusion to post–CAR T treatment initiation (months)
Median (Q1-Q3) 3.78 (2.6–6.7) 4.6 (3.4–9.4) 3.78 (2.6–6.7) 4.5 (3.4–9.7)
Time from CAR T-cell infusion to relapse or progression (months)
Median (Q1-Q3) 2.99 (1.22–5.68) 3.25 (2.07–6.64) 3.0 (1.2–5.7) 3.5 (2.1–8.0)
Time from CAR T-cell failure to post–CAR T treatment initiation (months)
Median (Q1-Q3) 0.89 (0.4–1.6) 1.08 (0.8–1.6) 0.89 (0.3–1.6) 1.05 (0.8–1.5
Ann Arbor Stage at CAR-T infusion
Missing 6 2 6 1
I-II 25 (19.7) 3 (7.0) 25 (21.0) 2 (5.1)
III-IV 102 (80.3) 40 (93.0) 94 (79.0) 37 (94.9)
Prior ASCT
Missing 0 1 – –
Yes 17 (12.8) 8 (18.2) 16 (12.8) 7 (17.5)
No 116 (87.2) 36 (81.8) 109 (87.2) 33 (82.5)
Response to pre-CAR-T bridging therapy
Missing 2 1 – –
No bridge 18 (13.5) 4 (9.1) 16 (12.8) 3 (7.5)
Response (CR/PR) 46 (34.6) 13 (29.5) 45 (36.0) 12 (30.0)
No response (SD/PD) 67 (50.4) 27 (61.4) 64 (51.2) 25 (62.5)
Bulk at lymphodepletion
Missing 10 9 10 8
Yes 26 (21.1 10 (27.8) 26 (22.6) 10 (31.3)
No 97 (78.9) 26 (72.2) 89 (77.4) 22 (68.8)
LDH (U/L) at CAR-T infusion
> Upper limit 71 (53.4) 18 (40.0) 70 (56.0) 17 (42.5)
CAR-T product
Tisa-cel 44 (33.1) 17 (37.8) 42 (33.6) 16 (40.0)
Axi-cel 89 (66.9) 28 (62.2) 83 (66.4) 24 (60.0)
Line of CAR-T infusion
2L 17 (12.8) 10 (22.2) 16 (12.8) 9 (22.5)
3L +  116 (87.2) 35 (77.8) 109 (87.2) 31 (77.5)

ASCT: autologous stem cell transplantation; CAR-T, chimeric antigen receptor-T; CR, complete response; ECOG, Eastern Cooperative Oncology Group; FAS, full analysis set; IPI, international prognostic index; sIPTW: Stabilized inverse probability of treatment weighting; LDH: lactacte dehydrogenase; PD, progressive disease; PR, partial response; PS, propensity score; SD, standard deviation; tisa-cel, tisagenlecleucel; ULN, upper limit of normal.

Covariate balance after weighting

PS weighting aimed to balance covariates between the control arm and the glofitamab arm to account for measured confounding variables (Table S2) that have been shown to impact PFS and OS after CAR T-cell failure [2, 5, 19, 20].

Primary analysis (MI-sIPTW)

In the primary MI-sIPTW analysis including all patients, except 11 patients with extreme propensity, adequate covariate balance was achieved after stringent adjustment on 9 parameters, including the number of prior treatment lines (L2 vs ≥ L3) (Table S2). All absolute standardized mean differences (SMDs) were < 0.2 across the 15 imputed datasets (Figure S2).

Sensitivity analyses

In the MI-SMRW analysis, all SMDs were < 0.2, except for Ann Arbor stage where 1 out of 15 imputed datasets showed an SMD > 0.2. In the complete-case set (5 patients excluded for extreme PS, n = 160), both sIPTW and SMRW reduced imbalances, with SMDs < 0.1 for all covariates except Ann Arbor stage, which could not be included due to very few stage I–II cases, and number of previous treatment lines for SMRW (SMD 0.15). After adjustment, patients in the glofitamab arm had more advanced disease (95.7% vs 78.6% Ann Arbor stage III–IV). For sIPTW, the effective sample size was 142. In MI-based analyses restricted to DESCAR-T patients, the number of previous treatment lines could not be included in the propensity score, but all SMDs were < 0.2. In MI-based analyses restricted to Ann Arbor stage III–IV patients and to patients who received CAR T-cell therapy in third-line or later, all covariates could be included and all SMDs were < 0.2.

Primary analysis

Primary weighted analysis (MI-sIPTW)

In the primary MI-sIPTW analysis (all data sources), weighted median OS was 19.6 months (95% CI, 10.2–not reached) in the glofitamab arm versus 7.6 months (95% CI, 5.5–9.8) in the control arm (Fig. 4). The pooled HR for death across imputed datasets was 0.49 (95% CI, 0.31–0.79; P = 0.0072). The E-value was 2.65 (1.31 for the lower CI bound), indicating that one or several unmeasured confounders would need to be strongly associated with both treatment and survival to fully explain the observed effect.

Fig. 4.

Fig. 4

Overall survival according to post–CAR T treatment (glofitamab versus non-bispecific salvage therapy) after multiple-imputation stabilized inverse probability of treatment weighting (MI-sIPTW). Time origin is the date of first administration of post–CAR T therapy: first glofitamab infusion in the BiCAR arm and first non-bispecific post–CAR T regimen in the control arm. Survivors were censored at last contact

Secondary and sensitivity analysis

Restricted mean survival time

The mean survival time restricted at 24 months of follow-up was 15.6 months (95% CI, 12.3–18.9) in the glofitamab arm versus 10.6 months (95% CI, 9.0–12.2) in the control arm, corresponding to an average RMST difference of 5.0 months (95% CI, 1.4–8.6; P = 0.007) favouring glofitamab.

Sensitivity analyses

In the unweighted cFAS, median OS from the start of post-CAR T therapy was 6.5 months (IQR, 3.2–18.9; 95% CI, 4.8–8.1) in the control arm versus 17.3 months (IQR, 5.7–28.4; 95% CI, 8.8–not estimable) in the glofitamab arm. Sensitivity analyses across various statistical models yielded consistent results (Table 3). Under the MI-SMRW model (all data), glofitamab was associated with a significant survival benefit (HR 0.46; 95% CI: 0.33–0.66; P = 0.0087; E-value: 2.78). Similar findings were observed using complete-case sIPTW and SMRW (HR 0.51,95%CI: [0.31–0.82], P = 0.0089 and HR 0.46, 95% CI: [0.33–0.65], p = 0.0062 respectively). When restricting the control group to DESCAR-T registry patients only (n = 162), the benefit remained robust (MI-sIPTW: HR 0.44, 95% CI: 0.26–0.74, P = 0.0057; MI-SMRW: HR 0.41, 95% CI: 0.29–0.59, P = 0.0067). An analysis restricted to stage III–IV disease (n = 142) confirmed these results (MI-sIPTW HR 0.52; 95% CI: 0.33–0.81; P = 0.0069) and also confirmed in a subgroup analysis restricted to patients who received CAR T-cell therapy in third line or later (n = 151), with an MI-sIPTW HR of 0.47 (95% CI: 0.29–0.75; P = 0.004) (Figure S3). Across all analytic approaches, HR estimates consistently clustered between 0.40 and 0.55, uniformly favoring the glofitamab arm.

Table 3.

Sensitivity analysis of overall survival evaluated in the indirect comparison study

Multiple imputations DESCAR-T population Ann-Arbor Stage III–IV Complete cases Raw data
SMRW sIPTW SMRW sIPTW sIPTW sMRW Control group (n = 133) Glofitamab group (N = 45)
Control group (n = 120) Glofitamab group (N = 40) Control group (n = 120) Glofitamab group (N = 40)
Number of death, N (%) 91 (75.8) 22 (55) 91 (75.8) 22 (55) 99 (74.4) 25 (55.6)

mOS, months

[IC95%]

6.6

[5.2;9.7]

17.3

[6.1;28.4]

6.5

[4.8;8.1]

17.3

[–;–]

6.5

[4.8;8.1]

17.3

[8.8;NA]

HR

[IC95%]

0.46

[0.326;0.659]

0.44

[0.264;0.741]

0.41

[0.286;0.591]

0.52

[0.33;0.809]

0.51

[0.331;0.819]

0.46

[0.334;0.645]

0.54

[0.348;0.840]

P value (Log-Rank) 0.0087 0.0057 0.0067 0.0069 0.0089 0.0062 0.0028
E-value 2.784 2.903 3.087 2.529 2.576 2.779 2.517
Overall survival rates
9-months

41.1

[33.8;50.2]

65.0

[43.8;78.8]

39.1

[30.2;47.9]

66.0

[42.0;82.0]

39.7

[31.3;48.0]

63.7

[47.7;76.0]

12-months

33.8

[25.0;42.8]

59.9

[38.8;75.7]

31.0

[22.8;39.6]

60.0

[36.2;77.4]

31.5

[23.6;39.7]

59.0

[43.0;71.9]

18-months

27.3

[19.0;36.3]

48.7

[27.6;67.0]

25.2

[17.6;33.6]

49.3

[25.5;69.4]

26.3

[18.9;34.3]

47.9

[32.0;62.2]

24-months

19.7

[12.1;28.7]

46.5

[25.3;65.2]

18.6

[11.5;27.0]

47.5

[23.7;68.1]

20.2

[13.2;28.3]

40.4

[24.5;55.9]

OS: Overall survival, SMRW: Standardized Mortality Ratio Weighting, sIPTW: Stabilized Inverse Probability of Treatment Weighting.

Discussion

In this comparative effectiveness study combining the BiCAR phase 2 trial with a pre-specified external control arm, short ramp-up glofitamab after anti-CD19 CAR T-cell failure was associated with a 51% reduction in the risk of death compared with contemporaneous non-bispecific salvage therapies. Weighted median OS increased from 7.6 months in the control arm to 19.6 months with glofitamab; a secondary RMST analysis confirmed a 5-month survival gain over 2 years. These findings were consistent across alternative weighting schemes, data-source restrictions, and stage-restricted analyses, with hazard ratio estimates ranging from 0.40 to 0.55.

The primary BiCAR publication established the feasibility and activity of accelerated glofitamab dosing after CAR T-cell failure [11]. The present work extends these findings with longer follow-up (median 30.4 months), showing that OS benefit is maintained over time (median 17.3 months, 2-year OS 38.3%). Our control cohort, selected using strict eligibility criteria and contemporaneity constraints, had a median OS of 6.5–7.6 months, consistent with previous DESCAR-T analyses and other post-CAR T series [2–5], supporting the external validity of our findings.

The discordance between median PFS (3.8 months) and median OS (17.3 months) reflects a bimodal kinetic pattern. Early progression is driven by patients with refractory or early-relapsing disease (≤ 6 months after CAR T-cell infusion; 67%), in whom median OS was 11.1 months versus not reached for late relapse. Beyond this early-progressing group, a subset of patients achieves prolonged disease control, with an estimated 2-year PFS of 29.1% and a median DoCR not reached. Achievement of CR after two cycles separates these two trajectories with striking clarity: median OS was not reached among CR patients versus 9.0 months in non-responders. This early on-treatment readout identifies two-cycle PET–CT response as a robust prognostic biomarker and a potentially useful tool to adapt therapeutic.

This study represents the first prospective phase II trial designed to evaluate a CD20 × CD3 bispecific antibody exclusively in patients with DLBCL failing anti-CD19 CAR T-cell therapy. With a final-analysis median overall survival of 17.3 months in the BiCAR-FAS, a 2-year overall survival rate of 38.3%, a median duration of response of 16.1 months, and a median duration of complete response not reached, these long-term outcomes can be compared with those reported for other bispecific antibodies in this population. The pivotal glofitamab NP30179 study, using standard ramp-up, reported a median duration of complete response of 22.0 months in 52 post–CAR T patients at 32 months median follow-up [7]. For epcoritamab (EPCORE NHL-1), 61 post–CAR T patients had a median follow-up of 25 months [8]. Odronextamab reported a median overall survival of 10.2 months in 60 post–CAR T patients at 16.2 months follow-up [9], and mosunetuzumab data in this setting remain limited (30 post–CAR T patients) [10]. Across these reports, long-term survival data with contemporaneous external controls have not been provided, which differentiates the present analysis. The complete response rate at the primary BiCAR analysis (45.7%) [11] was within the range of those reported across these platforms (24–37%).

Several methodological and design differences distinguish BiCAR from existing studies. First, BiCAR is, to our knowledge, the first prospective phase II study dedicated exclusively to patients with DLBCL in first relapse or progression after anti-CD19 CAR T-cell therapy. In contrast, glofitamab, epcoritamab, and mosunetuzumab included post-CAR T patients as subgroups within larger heterogeneous cohorts of relapsed/refractory DLBCL, while odronextamab, though conducted in a dedicated post-CAR T cohort, was an expansion arm of a phase I dose-finding study. The design of our study ensures population homogeneity and reduces selection biases that can occur when post-CAR T patients represent a subset of a broader trial. Second, BiCAR employed a single prespecified dosing schedule applied uniformly across all patients, in contrast to the dose-escalation designs and heterogeneous dosing cohorts in phase I/II studies. This schedule was a short ramp-up reaching the full 30-mg dose within one week, as opposed to the standard ramp-up over two weeks used in the registrational glofitamab study (NP30179) [7]. This consistency improves the reliability and reproducibility of efficacy estimates. Third, OS was the primary endpoint of our comparative effectiveness analysis. While complete response rates are informative, they do not fully capture clinical benefit in heavily pretreated populations where durability of response and survival prolongation are relevant outcomes. The observed doubling of median overall survival (19.6 vs 7.6 months, HR 0.49) against contemporaneous external controls provides comparative evidence that is not available for other bispecific antibodies in the post-CAR T setting, as mosunetuzumab, epcoritamab, and odronextamab have not reported survival comparisons with contemporary controls in their post-CAR T cohorts.

The choice of an accelerated step-up schedule reaching the full 30-mg dose within one week deserves specific consideration in this clinical setting. Patients failing anti-CD19 CAR T-cell therapy combine rapidly progressing disease (median time from CAR T infusion to failure of 3.0 months) and a depleted or dysfunctional T-cell compartment: in the BiCAR translational dataset, circulating CAR-T cells were detectable in only 45.9% of evaluable participants at glofitamab initiation, with a median total T-lymphocyte count of 436/µL [11]. CAR-T cell exhausted phenotypes have been described in patients failing CAR T-cell therapy, and we previously proposed that glofitamab may exert its antitumor activity by re-engaging residual exhausted CAR-T cells together with endogenous T cells [11]. In this context, reaching therapeutic plasma concentrations within 8 days rather than 15 days has a clinical and biological rationale: it shortens the window during which a fragile residual T-cell pool may further contract, and it competes more directly with the kinetics of post–CAR T tumor progression. The median interval from CAR T-cell failure to initiation of glofitamab was approximately 4 months in our cohort [11] consistent with the clinical urgency of treating progressive disease in this setting. The BiCAR safety profile, with no grade ≥ 3 CRS or neurotoxicity, supports the feasibility of this approach and is consistent with the hypothesis that a reduced residual T-cell compartment may also temper the magnitude of cytokine release upon T-cell engagement [11]. Whether the short ramp-up itself contributes to efficacy beyond the standard ramp-up cannot be determined from the present study and would require a dedicated comparative trial; the present results establish that this schedule is feasible, safe, and compatible with the survival benefit observed in this dedicated post–CAR T population. This biological rationale also bears on the choice of future combination strategies in the post–CAR T setting. The STARGLO trial recently established that glofitamab plus gemcitabine–oxaliplatin improves overall survival over rituximab–GemOx in transplant-ineligible R/R DLBCL [21]. However, STARGLO enrolled patients who had not received CAR T-cell therapy and retained a relatively preserved T-cell compartment, whereas the post–CAR T setting is characterised by lymphopenia, exhausted-T-cell phenotypes, and a depleted residual CAR T-cell pool [11]. Adding lymphotoxic chemotherapy such as GemOx in this context could further attrit the T-cell substrate on which glofitamab depends and may not transfer the STARGLO advantage to the post–CAR T population. Combination strategies preserving or restoring T-cell function, for example, with antibody–drug conjugates targeting CD79b or CD19, or with immune-modulating agents, may be conceptually better suited and warrant dedicated evaluation.

The external control arm was constructed from individual patient data in the French national DESCAR-T registry and the ALYCANTE trial, using propensity score weighting and sensitivity analyses. Given the difficulty of conducting randomized controlled trials comparing bispecific antibodies to salvage therapies in post-CAR T patients, this methodology provides an alternative approach to generate comparative evidence. The consistency of hazard ratio estimates across weighting schemes (sIPTW, SMRW), data source restrictions (DESCAR-T only analysis), stage-restricted analyses, and methods for handling missing data (complete-case and multiple imputation) supports the robustness of the findings. E-values exceeded 2.5, indicating that an unmeasured confounder would need to have an association of at least this magnitude with both treatment assignment and overall survival to fully explain the observed hazard ratio.

This study has limitations. The non-randomized design and sample size in the glofitamab arm (n = 45) preclude definitive causal inference, and residual confounding cannot be excluded despite propensity score adjustment. However, E-value (2.65) supports that it is unlikely that these potential confounders would substantially change the study conclusions. Several of the propensity-score covariates, including LDH, Ann Arbor stage, and bridging response, were captured at the time of CAR T-cell infusion rather than at the time of CAR T-cell failure, because these variables are systematically recorded at infusion in the DESCAR-T registry and the ALYCANTE trial, whereas at the time of post–CAR T failure, they are only inconsistently available. Disease characteristics at the time of CAR T-cell failure, as captured in the Post–CAR Prognostic Index (PC-PI) [22] and confirmed in subsequent analyses [23], carry independent prognostic information, and residual confounding from time-of-failure characteristics cannot be excluded. Several lines of evidence, however, argue that this residual confounding is unlikely to fully explain the observed survival benefit. The HR estimates were consistent across all prespecified sensitivity analyses (range 0.41–0.54). The E-value of 2.65 (1.31 for the lower CI bound) indicates that an unmeasured confounder would need to be strongly associated with both treatment and survival to nullify the observed effect. Although unweighted distributions differed between arms (e.g., 87.2% vs 77.8% of patients received CAR T-cell therapy in third line or later in the control and BiCAR arms, respectively, this variable was prespecified as a propensity-score covariate and adequate balance was achieved after weighting (SMD < 0.2 across all imputed datasets in the primary analysis). To further address this point, an additional sensitivity analysis restricted to patients treated in third line or later (≥ L3) is presented in supplementary Figure S3 and yielded a consistent hazard ratio. The heterogeneity of control treatments — spanning chemotherapy-based, lenalidomide-based, radiotherapy-based regimens, and investigational therapies — reflects the absence of an established standard of care after CAR T-cell failure and current real-world practice. The descriptive distribution of regimens and survival outcomes within each category is provided in Supplementary Table S1 and Supplementary Figure S1. Formal comparisons of glofitamab with individual treatment categories were not performed, for two reasons: the survival benefit observed in the primary analysis was confirmed across an extensive set of sensitivity analyses with consistent hazard ratios (range 0.41–0.54), making an additional subgroup comparison unlikely to add interpretative value; and the categories themselves are internally heterogeneous, which would make any single hazard ratio within a category difficult to interpret as the comparative effect of glofitamab against a defined alternative strategy. Our findings therefore demonstrate the activity of glofitamab against the spectrum of currently used non-bispecific salvage strategies as a whole, rather than against any specific regimen. Lisocabtagene maraleucel was not commercially available in France during most of the BiCAR recruitment period (May 2021 to April 2023); early access in the second line was restricted to a limited number of centres from September 2022 onward, and broader marketing authorization in the third-line setting was not granted during this period. As a result, no patients in the source datasets had received commercial lisocabtagene maraleucel before initiating their post–CAR T treatment. Our findings may therefore not directly extrapolate to patients failing lisocabtagene maraleucel, in whom the post–CAR T immune profile and toxicity recovery may differ. Patients in the source datasets who received a bispecific antibody as first post–CAR T treatment (n = 21, all within clinical-trial protocols) could not serve as an independent comparator arm given their overlap with trial-based source datasets and small numbers per molecule and per schedule. Generalizability is therefore limited to patients meeting BiCAR eligibility criteria, including ECOG performance status 0–1, adequate organ function, and CAR T-cell failure occurring at least one month after infusion. Finally, while the BiCAR translational dataset provides initial evidence on residual T-cell biology at glofitamab initiation [11], comprehensive prospective phenotyping of exhaustion markers and functional T-cell assays was not part of the present analysis; correlative immune-monitoring studies on biobanked samples are ongoing and will be reported separately.

Conclusion

Short-ramp-up glofitamab after anti-CD19 CAR T-cell failure produces durable survival in a subset of patients with DLBCL and, in a pre-specified comparative effectiveness analysis using an academic external control arm, is associated with substantially longer OS than contemporaneous non-bispecific therapies. These findings support glofitamab as a preferred post-CAR T option for eligible patients and highlight the value of registry-based external controls to inform treatment decisions when randomised trials are not feasible.

Supplementary Information

Additional file 1. (4.6MB, docx)
Additional file 2. (19.3KB, docx)
Additional file 3. (15.6KB, docx)

Acknowledgements

We thank the patients, their families and the study personnel involved in this trial. We also thank the BiCAR trial investigators, S. Doyen (Clinical Projects Manager, LYSARC, France) and the LYSARC study team, including Biostatistics teams, LYSA-IM and LYSA-P, for their precious contribution for providing medical writing support in accordance with the current Good Publication Practice guidelines.

Abbreviations

ATE

Average treatment effect

ATC

Average treatment effect in the control population

CAR

Chimeric antigen receptor

CI

Confidence interval

CR

Complete response

CRS

Cytokine release syndrome

DLBCL

Diffuse large B-cell lymphoma

DoR

Duration of response

ECOG

Eastern Cooperative Oncology Group

FAS

Full analysis set

HR

Hazard ratio

LDH

Lactate dehydrogenase

MI

Multiple imputation

OS

Overall survival

PD

Progressive disease

PFS

Progression-free survival

PR

Partial response

PS

Propensity score

RMST

Restricted mean survival time

SD

Stable disease

sIPTW

Stabilized inverse probability of treatment weighting

SMRW

Standardized mortality ratio weighting

ULN

Upper limit of normal

Author contributions

G. C., P. S., Y. A. L., K. T. and C. L. contributed to the conception, design, and planning of the study. G. C., R. H., Y. A. L., F. L. B., L.Y., S. C., F. J., J-O. B, F-X. G., F. M., C. Ro., T. G., C. T., M. J., L. R., C. R., L.D.L.R., P.F., A. M., S. G., K. T., C. L., and P. S. contributed to the acquisition and analysis of data. G. C., R. H., Y. A. L., F. L. B., L. Y., S. C., F. J., J-O. B, F-X. G., F. M., C. R., T. G., C. T., M. J., L. R., C. Ro., L. D.L. R., P. F., A. M., S. G., K. T., C. L., and P. S. contributed to the critical review and revision of the manuscript. All authors approved the final version of the manuscript and are accountable for all aspects of the work.

Funding

BiCAR and ALYCANTE were sponsored by LYSARC and supported in part by an unrestricted grant from F. Hoffmann–La Roche (BiCAR) and Kite, a Gilead company (ALYCANTE) for drug supply and study conduct. The DESCAR-T registry received support from [GILEAD, Novartis, Bristol-Meyers Squibb]. The funders had no role in the design, analysis or interpretation of the external control comparison, or in the decision to submit this manuscript.

Data availability

The datasets generated and/or analysed during the current study are not publicly available due to privacy and regulatory restrictions but are available from the corresponding author on reasonable request and with permission from LYSARC and the DESCAR-T/ALYCANTE data-holding institutions.

Declarations

Ethics approval and consent to participate

BiCAR was approved by the Comité de Protection des Personnes Ile-de-France X and conducted in accordance with the Declaration of Helsinki and Good Clinical Practice; all participants provided written informed consent. DESCAR-T and ALYCANTE were approved by the appropriate institutional ethics committees. Use of de-identified registry and trial data for the external control analysis complied with applicable data-protection regulations.

Consent for publication

Not applicable (no identifiable individual patient data are presented).

Competing interests

P. S. has received honoraria, and advisory/consultancy fees from Janssen, Roche, Bristol-Myers Squibb, AbbVie, AstraZeneca, Chugai, Novartis, and Kite/Gilead. R. H. has received honoraria from Kite/Gilead, Novartis, Incyte, Janssen, MSD, Takeda, and Roche; and is a member on an entity’s Board of Directors or advisory committees of Kite/Gilead, Novartis, Bristol-Myers Squibb/Celgene, ADC Therapeutics, Incyte and Miltenyi. L. Y. has received honoraria, and advisory/consultancy fees from AbbVie, AstraZeneca, BeiGene, Bristol-Myers Squibb/Celgene, Gilead/Kite, Janssen, and Roche. S. C. has received honoraria, and advisory/consultancy fees from AbbVie, AstraZeneca, Atara, BeiGene, Gilead/Kite, Janssen, Novartis, Pierre Fabre, and Takeda. F. J. has received honoraria, and advisory/consultancy fees from Roche, Bristol-Myers Squibb, Novartis, Kite/Gilead, Takeda, AbbVie, and Janssen. F-X. G. has received honoraria, and advisory/consultancy fees from Bristol-Myers Squibb, Novartis, Kite/Gilead, AstraZeneca, Janssen, and Miltenyi. F. M. has received consultancy fees from AbbVie, Bristol-Myers Squibb, Gilead, Novartis, and Roche, serves as an advisor for AbbVie, Gilead and Roche and received honoraria from Chugai and Kaleda for scientific lectures. C. Ro. has received honoraria, and advisory/consultancy fees from Roche, Takeda, Gilead/Kite, Bristol-Myers Squib, MSD, AbbVie, BeiGene, Janssen, Lilly. T. G. has received travel and accommodation expenses from Roche. C. T. has received honoraria, and advisory/consultancy fees from Roche, Bristol-Myers Squibb, Novartis, Kite/Gilead, Takeda, AbbVie, Janssen. L. D. L. R. has received honoraria, and advisory/consultancy fees from Gilead/Kite, Novartis, Bristol-Myers Squibb, Janssen, Takeda. P. F. has received honoraria, and advisory/consultancy fees from, BeiGene, Kite/Gilead, AstraZeneca, AbbVie, Janssen. S. G. is an employee of LYSARC. G. C. has received honoraria, and advisory/consultancy fees from Roche, Bristol-Myers Squibb, BeiGene, Novartis, Kite/Gilead, Takeda, AstraZeneca, AbbVie, Janssen, Onward Therapeutics, Incyte and Mabqi. Y. A. T., M. J., C. L., F. L. B., A. M., J-O. B., C. R., L. R., and K. T. declare that they have no conflict of interest.

Footnotes

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Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets generated and/or analysed during the current study are not publicly available due to privacy and regulatory restrictions but are available from the corresponding author on reasonable request and with permission from LYSARC and the DESCAR-T/ALYCANTE data-holding institutions.


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