P888: MATCHED-ADJUSTED INDIRECT COMPARISON OF TALQUETAMAB VS SELINEXOR-DEXAMETHASONE AND VS BELANTAMAB MAFODOTIN IN PATIENTS WITH RELAPSED/REFRACTORY MULTIPLE MYELOMA
Notice bibliographique
Résumé
Topic: 14. Myeloma and other monoclonal gammopathies - Clinical Background: Talquetamab, a G protein coupled receptor family C group 5 member D × CD3 bispecific antibody, has shown an overall response rate (ORR) of ≥73% in patients (pts) with triple-class exposed (TCE) relapsed/refractory multiple myeloma (RRMM) in the MonumenTAL-1 (NCT03399799/NCT04636552) trial. Selinexor-dexamethasone (sel-dex) and belantamab mafodotin (belamaf) are approved for the treatment of pts in the same indication, based on results of the STORM part 2 (NCT02336815) and DREAMM-2 (NCT03525678) trials, respectively. Given the absence of a control arm in MonumenTAL-1, matched adjusted indirect comparisons (MAICs) can provide useful insights regarding the relative effectiveness of different treatments. Aims: To compare the effectiveness of talquetamab vs sel-dex and vs belamaf using data from the single-arm MonumenTAL-1 trial, vs STORM and vs DREAMM-2, respectively, in pts with TCE RRMM. Methods: An unanchored MAIC was performed using individual pt data (IPD) for talquetamab 0.4 mg/kg QW and talquetamab 0.8 mg/kg Q2W administered subcutaneously (MonumenTAL-1; data cut-off [DCO]: Sept 2022) and published summary data for sel-dex (STORM; DCO: Aug 2018) and belamaf (DREAMM-2; approved 2.5 mg/kg dose cohort only, DCO: Mar 2022; for PFS data, DCO: Jan 2020). MonumenTAL-1 pts who met key eligibility criteria for STORM (triple-class refractory, refractory to last therapy, refractory to daratumumab, and penta-exposed) and DREAMM-2 (triple-class refractory and refractory to last therapy) were included in the analysis. MonumenTAL-1 pts were reweighted to adjust for imbalances in refractory status, cytogenetic risk, ISS stage, extramedullary disease, and number of prior lines of therapy to match pt populations from STORM and DREAMM-2. A sensitivity analysis excluding MonumenTAL-1 pts who had received prior belamaf treatment was also performed. Outcomes of interest were ORR, complete response or better (≥CR), duration of response (DOR), progression-free survival (PFS), and overall survival (OS). For binary outcomes, response rates were analyzed using weighted logistic regression to estimate odds ratios and relative response ratios (RRs), with respective 95% CIs. Time-to-event endpoints were analyzed using weighted proportional hazards regression to estimate hazard ratios (HRs) and 95% CIs from weighted IPD from MonumenTAL-1, and pseudo-IPD simulated from published Kaplan-Meier curves from both external trials. Results: After reweighting, baseline variables for both analyses were well balanced. Base case analysis showed better effectiveness of talquetamab 0.4 mg/kg QW (N=143) and talquetamab 0.8 mg/kg Q2W (N=145) for all outcomes vs sel-dex (N=122) and for most outcomes vs belamaf (N=97) (see Table). Results were also generally consistent in the sensitivity analysis. Summary/Conclusion: These analyses show superior effectiveness of both talquetamab dosing schedules vs sel-dex and vs belamaf for most outcomes, and highlight talquetamab as a novel, highly effective treatment option for pts with TCE RRMM.Keywords: relapsed/refractory, G-protein-coupled receptors, Bispecific, Multiple myeloma
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».