MétaCan
Menu
Retour à la cohorte
Enregistrement W4385697656 · doi:10.1097/01.hs9.0000970368.33859.48

P866: IDECABTAGENE VICLEUCEL (IDE-CEL) VS STANDARD REGIMENS IN PATIENTS WITH TRIPLE-CLASS–EXPOSED (TCE) RELAPSED AND REFRACTORY MULTIPLE MYELOMA (RRMM): KARMMA-3 SUBGROUP ANALYSIS BY PRIOR LINES OF THERAPY

2023· article· en· W4385697656 sur OpenAlexaff
Salomon Manier, Paula Rodríguez‐Otero, María‐Victoria Mateos, Hermann Einsele, Nizar J. Bahlis, Nikhil C. Munshi, Sikander Ailawadhi, Bertrand Arnulf, Ajay K. Nooka, Ravi Vij, Ingerid Weum Abrahamsen, Annemiek Broijl, Sundar Jagannath, Reuben Benjamin, Usama Gergis, Douglas W. Sborov, Shinsuke Iida, Anna Truppel-Hartmann, Zhihong Yang, Julia Piasecki, Jasper Felten, Andrea Caia, Mark Cook, Rachid Baz

Notice bibliographique

RevueHemaSphere · 2023
Typearticle
Langueen
DomaineMedicine
ThématiqueCAR-T cell therapy research
Établissements canadiensInstitute of Cancer ResearchUniversity of Calgary
Organismes subventionnairesnon disponible
Mots-clésDaratumumabMedicineInternal medicineRegimenOncologyMultiple myelomaLenalidomideHazard ratioConfidence interval

Résumé

récupéré en direct d'OpenAlex

Topic: 14. Myeloma and other monoclonal gammopathies - Clinical Background: Because of earlier use of immunomodulatory (IMiD®) agents, proteasome inhibitors (PIs), and anti-CD38 monoclonal antibody combinations, patients (pts) with RRMM are becoming TCE earlier in their disease course, which represents a therapeutic challenge. In the phase 3 KarMMa-3 trial (NCT03651128), ide-cel, a BCMA-directed CAR T cell therapy, significantly improved median progression-free survival (mPFS, 13.3 vs 4.4 mo; hazard ratio [HR], 0.49; P<0.0001) and overall response rate (ORR, 71% vs 42%; P<0.0001) vs standard (std) regimens in pts with TCE RRMM who received 2–4 prior lines of therapy (LoT). We assessed the consistency of ide-cel benefit vs std regimens across numbers (no.) of prior LoT in pts with TCE RRMM in KarMMa-3. Aims: To compare efficacy and safety of ide-cel vs std regimens by no. of prior LoT in KarMMa-3 pts. Methods: Pts with RRMM who received 2–4 prior LoT, were TCE (IMiD agent, PI, and daratumumab), and had disease refractory to the last regimen were randomized 2:1 to receive ide-cel (target dose range: 150–450 x 106 CAR+ T cells) or a std regimen (DPd, DVd, IRd, Kd, or EPd); randomization stratification factors included no. of prior LoT (2 vs 3 or 4). In this analysis, efficacy and safety were assessed by no. of prior LoT. An analysis was performed to determine the relationship between soluble BCMA (sBCMA) levels and prior LoT. Results: Baseline characteristics were generally balanced between arms across prior LoT subgroups. In both arms, the proportion of pts with triple-class–refractory (TCR) disease increased and median time to progression on last prior therapy decreased from 2 to 4 prior LoT (ide-cel: 50% to 88% and 9.3 to 5.1 mo, respectively). High-risk clinical features were generally balanced across prior LoT in each arm. At a median follow-up of 18.6 (range, 0.4–35.4) mo, PFS improvement for ide-cel vs std regimens was consistent across prior LoT (HR range, 0.45–0.58; Table). In pts with 2 and 3 or 4 prior LoT, mPFS with ide-cel was 15.1 and 12.0 mo, and with std regimens was 4.8 and 4.2 mo, respectively. The 12-mo PFS rates in the ide-cel arm were 64%, 54%, and 46% in pts with 2, 3, and 4 prior LoT, respectively. ORRs and complete response rates (CRRs) were numerically higher with ide-cel vs std regimens regardless of prior LoT. Baseline sBCMA levels were similar in pts with 2 vs 3 or 4 prior LoT in both arms; at nadir, a greater proportion of pts in the ide-cel arm with 2 vs 3 or 4 prior LoT cleared sBCMA level (82% vs 68%; P=0.0238). Proportion of pts who had serious AEs was similar in subgroups by prior LoT (ide-cel, 51–55%; std regimens, 37–39%) and to the overall population (ide-cel, 52%; std regimens, 38%). The safety profile of ide-cel, including cytokine release syndrome (CRS), was similar across prior LoT. Grade 5 CRS occurred in 1 pt each in the 2 and 3 prior LoT subgroups. Investigator-identified neurotoxicity was lowest in pts who had 2 prior LoT (2, 7%; 3 or 4, 19%). Summary/Conclusion: Across prior LoT, the benefit of ide-cel vs std regimens was maintained and the safety profile of ide-cel was consistent. With increasing LoT, pts were more likely to have TCR disease and had numerically poorer efficacy outcomes in both arms. Greater proportion of pts in the ide-cel arm with 2 vs 3 or 4 prior LoT had clearance of tumor burden as measured by sBCMA, raising the possibility of earlier ide-cel use in TCE RRMM.Keywords: Multiple myeloma, CAR-T, Clinical trial, Antigen-specific T cells

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,090
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0010,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,003
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,017
Tête enseignante GPT0,269
Écart entre enseignants0,252 · 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 tête enseignante, pas un consensus.

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

Citations2
Publié2023
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueHemaSphereMême sujetCAR-T cell therapy researchTravaux en français237 207