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Enregistrement W4405041516 · doi:10.1182/blood-2024-198509

Lisocabtagene Maraleucel (liso-cel) in Patients (pts) with Relapsed or Refractory (R/R) Follicular Lymphoma (FL): Transcend FL 2-Year Follow-up

2024· article· en· W4405041516 sur OpenAlexaff
Loretta J. Nastoupil, Saurabh Dahiya, Maria Lia Palomba, Alejandro Martı́n, Juan Luis Reguera, John Kuruvilla, Ulrich Jaeger, Guillaume Cartron, Koji Izutsu, Martin Dreyling, Brad S. Kahl, Hervé Ghesquières, Kirit M. Ardeshna, Hideki Goto, Anna Maria Barbui, Jeremy S. Abramson, Peter Borchmann, Isabelle Fleury, Stephan Mielke, Alan P Skarbnik, Manali Kamdar, Reem Karmali, Andreas Viardot, Thalia A. Farazi, Grace Shih Hui Kao, Min Vedal, Rina Nishii, Jessica Papuga, Jinender Kumar, Franck Morschhauser

Notice bibliographique

RevueBlood · 2024
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensHôpital Maisonneuve-RosemontPrincess Margaret Cancer Centre
Organismes subventionnairesnon disponible
Mots-clésFollicular lymphomaRefractory (planetary science)MedicineInternal medicineOncologyLymphomaGastroenterologyCancer researchBiology

Résumé

récupéré en direct d'OpenAlex

Background: In the primary analysis of TRANSCEND FL (NCT04245839), a global, phase 2 study, liso-cel showed an ORR of 97%, CR rate of 94%, and favorable safety in pts with second-line (2L) or later R/R FL. Here, we report results in pts with third-line or later (3L+) and 2L FL with high-risk disease features after approximately 2 y of follow-up. Methods: Eligible pts with R/R FL included 3L+ and 2L pts with progression of disease ≤ 24 mo (POD24) of diagnosis after treatment with anti-CD20 antibody and an alkylator ≤ 6 mo of FL diagnosis and/or modified Groupe d'Etude des Lymphomes Folliculaires (mGELF) criteria. All pts received ≥ 1 prior combination systemic therapy, including an anti-CD20 antibody and an alkylator. Pts received liso-cel (100 × 106 CAR+ T cells) after lymphodepleting chemotherapy (LDC). Bridging therapy was allowed with reconfirmation of PET-positive disease before LDC. The primary endpoint was ORR per independent review committee (IRC) by PET/CT using Lugano 2014 criteria. Secondary endpoints included CR rate, duration of response (DOR) and PFS by IRC assessment, OS, safety, cellular kinetics, and pt-reported outcomes (PRO). Time to next treatment (TTNT; time from index date to the start date of subsequent systemic treatment or death from any cause, whichever occurred first) and PFS2 (time from index date to the first documented PD, per investigator assessment, or death from any cause after the start date of the subsequent line of therapy) were analyzed post hoc. Results: At data cutoff (January 10, 2024), 107 3L+ and 23 2L high-risk FL pts had received liso-cel and were evaluable for safety; 103 3L+ and 23 2L pts were efficacy evaluable. In pts with 3L+ FL, median (range) age was 62 y (23-80), 89% had Ann Arbor stage III/IV disease, and 57% were high risk per FLIPI. Forty-three percent of pts had POD24 (per eligibility criteria), 53% met mGELF criteria, and 64% were double refractory to anti-CD20 antibody and an alkylator. In pts with 2L FL, median (range) age was 53 y (34-69), 74% had Ann Arbor stage III/IV disease, 30% were high risk per FLIPI, 52% had POD24, 70% met mGELF criteria, and 48% were double refractory to anti-CD20 antibody and an alkylator. Median (range) on-study follow-up was 30.0 mo (0.3-39.6) for 3L+ and 29.5 mo (1.0-38.2) for 2L. For 3L+, ORR and CR rate (95% CI) were 97.1% (91.7-99.4) and 94.2% (87.8-97.8), respectively; for 2L, ORR and CR rate were both 95.7% (78.1-99.9). In 3L+ and 2L pts, medians continued to be not reached for all time-to-event analyses. In 3L+ pts, 24-mo (95% CI) DOR was 74.6% (64.8-82.1), PFS was 72.5% (62.7-80.1), OS was 88.2% (80.1-93.1), probability of TTNT was 80.1% (70.8-86.7), and probability of PFS2 was 76.6% (57.7-87.9). In 2L pts, 24-mo (95% CI) DOR was 86.4% (63.4-95.4), PFS was 82.6% (60.1-93.1), OS was 95.7% (72.9-99.4), probability of TTNT was 91.3% (69.5-97.8), and probability of PFS2 was 91.1% (68.8-97.7). Persistence of liso-cel transgene was observed up to Month 30 in 25% (7/28 pts) and 17% (1/6 pts) for 3L+ and 2L pts, respectively. PRO data showed durable improvements across domains for most pts. The safety profile with longer median follow-up was manageable and consistent with the primary analysis (18.9-mo median follow-up). As reported in the primary analysis, incidence of grade ≥ 3 cytokine release syndrome (CRS) was 1% (no grade 4/5), grade ≥ 3 neurological events (NEs) were 2% (no grade 4/5), and prolonged cytopenia was 22% (most recovered to grade ≤ 2 by Day 90). There were 9 pts who had second primary malignancies (7%; 7 in the 3L+ cohort and 2 in the 2L cohort), with 5 reported since the primary analysis (malignant melanoma, colorectal cancer, mucoepidermoid carcinoma, myelodysplastic syndrome, and basal cell carcinoma [1 each]). No secondary T-cell malignancies were reported. In the leukapheresed set, there were 16 on-study deaths, of which 1 occurred before liso-cel infusion and 2 occurred since the primary analysis due to PD, 1 pt each in the 3L and 4L+ cohorts. In patients who received liso-cel in the outpatient setting (n = 14; 3L+, n = 13; 2L, n = 1), no pts had experienced grade ≥ 3 CRS, NEs, or prolonged cytopenia at data cutoff. Conclusions: With 2-y follow-up in pts with 3L+ and 2L high-risk R/R FL who received a single administration of liso-cel, ORR and CR rates were above 94%, with sustained high rates of 24-mo DOR, PFS, and OS, and no new safety signals. These data support liso-cel as a highly efficacious and safe treatment option for pts with R/R FL.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,001
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,001
Score d'incertitude au seuil0,005

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,010
Tête enseignante GPT0,228
Écart entre enseignants0,218 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations9
Publié2024
Routes d'admission1
Résumé présentoui

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