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Record W4407288611 · doi:10.1136/jitc-2024-009890

Real-world outcomes with tisagenlecleucel in aggressive B-cell lymphoma: subgroup analyses from the CIBMTR registry

2025· article· en· W4407288611 on OpenAlexafffund
Daniel J. Landsburg, Matthew J. Frigault, Michael Heim, S.R. Foley, Brian T. Hill, Grant Schofield, Caron A. Jacobson, Samantha Jaglowski, Frederick L. Locke, Ron Ram, Peter A. Riedell, Gunjan L. Shah, Leslie Popplewell, Ranjan Tiwari, Stephen Lim, Marta Majdan, Aisha Masood, Marcelo C. Pasquini, Cameron J. Turtle

Bibliographic record

VenueJournal for ImmunoTherapy of Cancer · 2025
Typearticle
Languageen
FieldMedicine
TopicCAR-T cell therapy research
Canadian institutionsMcMaster UniversityJuravinski Hospital
FundersIovance BiotherapeuticsJanssen Research and DevelopmentNational Institute of Allergy and Infectious DiseasesNational Cancer InstituteOffice of Naval ResearchNational Heart, Lung, and Blood Institutebluebird bioPharmacyclicsTakeda OncologyLegend BiotechU.S. NavyAdaptive BiotechnologiesHealth Resources and Services AdministrationNational Institutes of HealthCytoSen TherapeuticsMorphoSysCareDxBeiGeneSwedish Orphan BiovitrumAstellas PharmaCSL BehringKyowa Kirin Pharmaceutical DevelopmentAtara BiotherapeuticsVertex PharmaceuticalsAnthem FoundationGlaxoSmithKlineKiadis PharmaSanofiTG TherapeuticsMedacJazz PharmaceuticalsOmeros CorporationU.S. Department of DefenseMedical College of WisconsinStemCyteAbbVieActinium PharmaceuticalsGilead SciencesStanford UniversityNational Marrow Donor ProgramMallinckrodt PharmaceuticalsMerckBristol-Myers SquibbAstraZenecaAstellas Pharma USBe The Match FoundationNovartis Pharmaceuticals CorporationDana-Farber Cancer InstituteAllogene TherapeuticsIncytePfizerAmgenBoston Children's HospitalHistoGenetics
KeywordsMedicineCytokine release syndromeFludarabineInternal medicineOncologyHematopoietic stem cell transplantationDiffuse large B-cell lymphomaSalvage therapyCohortLymphomaTransplantationChimeric antigen receptorImmunotherapyChemotherapyCancerCyclophosphamide

Abstract

fetched live from OpenAlex

BACKGROUND: Tisagenlecleucel, a CD19 chimeric antigen receptor T-cell therapy, is approved for adults with relapsed or refractory (R/R) diffuse large B-cell lymphoma (DLBCL) or high-grade B-cell lymphoma (HGBCL) after ≥2 lines of therapy. When used in real-world settings, tisagenlecleucel has shown similar efficacy and improved safety compared with previous clinical trials. However, long-term data on real-world outcomes are lacking. METHODS: Clinical data from a cohort of patients treated with tisagenlecleucel in a real-world setting were captured in the Center for International Blood and Marrow Transplant Research registry. The main clinical outcomes analysed included response rate, duration of response, survival, adverse events and clinicopathologic and treatment characteristics that may affect those outcomes. RESULTS: As of May 2022, 1159 patients with R/R DLBCL/HGBCL received tisagenlecleucel. The overall response rate was 59.5%, and the complete response rate was 44.5%. With a median follow-up of 23.2 months in the efficacy set (n=968), the 24 month rates of progression-free survival, ongoing response and overall survival were 28.4%, 52.6% and 43.6%, respectively. Grade ≥3 cytokine release syndrome and neurotoxicity were reported in 6% and 7.4% of patients, respectively. Patients with DLBCL (vs HGBCL), complete response before infusion, prior autologous or allogeneic haematopoietic stem cell transplant and lactate dehydrogenase (LDH) within normal limits experienced more favourable efficacy outcomes, and those with Eastern Cooperative Oncology Group performance status of ≥2, ≥3 prior lines of therapy, elevated LDH and fludarabine-based lymphodepleting chemotherapy experienced less favourable safety outcomes. CONCLUSIONS: This real-world study of tisagenlecleucel for patients with R/R DLBCL/HGBCL shows consistent efficacy and better safety outcomes than the pivotal trial. This study also identifies baseline disease characteristics and prior or concurrent treatments that may affect clinical outcomes.Tisagenlecleucel, a CD19 chimeric antigen receptor T-cell therapy, is approved for adults with relapsed or refractory (R/R) diffuse large B-cell lymphoma (DLBCL) or high-grade B-cell lymphoma (HGBCL) after ≥2 lines of therapy. When used in real-world settings, tisagenlecleucel has shown similar efficacy and improved safety compared with previous clinical trials. However, long-term data on real-world outcomes are lacking.Clinical data from a cohort of patients treated with tisagenlecleucel in a real-world setting were captured in the Center for International Blood and Marrow Transplant Research registry. The main clinical outcomes analysed included response rate, duration of response, survival, adverse events, and clinicopathologic and treatment characteristics that may affect those outcomes.As of May 2022, 1159 patients with R/R DLBCL/HGBCL received tisagenlecleucel. The overall response rate was 59.5%, and the complete response rate was 44.5%. With a median follow-up of 23.2 months in the efficacy set (n=968), the 24 month rates of progression-free survival, ongoing response, and overall survival were 28.4%, 52.6%, and 43.6%, respectively. Grade ≥3 cytokine release syndrome and neurotoxicity were reported in 6% and 7.4% of patients, respectively. Patients with DLBCL (vs HGBCL), complete response before infusion, prior autologous or allogeneic haematopoietic stem cell transplant, and lactate dehydrogenase (LDH) within normal limits experienced more favourable efficacy outcomes, and those with Eastern Cooperative Oncology Group performance status ≥2, ≥3 prior lines of therapy, elevated LDH, and fludarabine-based lymphodepleting chemotherapy experienced less favourable safety outcomes.In conclusion, this real-world study of tisagenlecleucel for patients with R/R DLBCL/HGBCL shows consistent efficacy and better safety outcomes than the pivotal trial. This study also identifies baseline disease characteristics and prior or concurrent treatments that may affect clinical outcomes.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.331
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.040
GPT teacher head0.411
Teacher spread0.371 · 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 teacher head, not a consensus.

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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Citations13
Published2025
Admission routes2
Has abstractyes

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