P962: CHANGE IN SOLUBLE BCMA LEVEL MAY BE A SURROGATE MARKER OF EARLY RESPONSE TO THERAPY IN PATIENTS WITH RELAPSED/REFRACTORY MULTIPLE MYELOMA (RRMM): PRELIMINARY RESULTS FROM A PHASE I STUDY OF CEVOSTAMAB
Notice bibliographique
Résumé
Background: Cevostamab is an FcRH5xCD3 bispecific antibody that facilitates T-cell directed killing of myeloma cells, and has shown promising activity and manageable safety in a Phase I study in patients (pts) with RRMM (NCT03275103; Trudel et al. ASH 2021). B-cell maturation antigen (BCMA) is a membrane-bound protein that is expressed preferentially by malignant plasma cells and has become an important therapeutic target in MM. Shedding of membrane-bound BCMA, mediated by γ-secretase, gives rise to the soluble form of BCMA (sBCMA) which is often present at elevated levels in pts with MM. Normalization of sBCMA may be a predictor of response to therapy, which may be independent of treatment and target. Aims: To evaluate sBCMA as a biomarker of early response in pts enrolled in the single step-up dosing cohorts of the cevostamab Phase I study. Methods: Plasma samples were collected at baseline and at Cycle (C) 1 Day (D) 1 (pre-infusion and end of infusion [EOI]), C1D2, C1D4, C1D8 (pre-infusion and EOI), C1D9, C1D11, and C2D1 (pre-infusion and EOI). sBCMA levels were quantified using hybrid immunoaffinity capture with LC-MS/MS. Pts were stratified by refractory status, prior therapy, prior transplant, cytogenetic risk and response (responder [≥PR] or non-responder [<PR]), and samples from each category were grouped for analysis. Associations between baseline sBCMA levels and baseline patient characteristics or response to treatment were evaluated using an unpaired 2-sample Wilcoxon test (significance level: p≤0.05). The relationship between sBCMA dynamics (percent change in sBCMA level from baseline to C2D1 EOI) and best response was evaluated using logistic linear regression. All pts provided informed consent. Results: At cut-off (January 7, 2022), 97/103 pts in the single step-up cohorts were biomarker evaluable. No clear differences in baseline sBCMA levels were observed in pts stratified by refractory status, prior transplant, or prior anti-CD38 or anti-BCMA therapy. Analysis of a subset of pts with cytogenetic data showed a trend towards lower baseline sBCMA levels in the standard-risk group (n=18) vs the high-risk group (n=42; p=0.032). In the active dose cohorts (3.6/20mg+; n=77), baseline sBCMA levels were comparable between responders and non-responders. However, baseline sBCMA levels were lower in pts achieving a VGPR or better vs those achieving a PR or no response (median: 47.7ng/mL vs 120.5ng/mL; p=0.037). At C2D1 EOI, most responders had a reduction in sBCMA relative to baseline, with the pts who achieved sCR having the greatest decrease (median: –92.10%). In comparison, an increase in sBCMA was observed in non-responders at C2D1 EOI, with the pts who had PD having the greatest increase (median: 93.14%). The extent of reduction in sBCMA from baseline to C2D1 EOI was significantly correlated with best overall response rate (PR or better) (p=1.8x10–5). Summary/Conclusion: In this study, baseline sBCMA was not associated with refractory status, prior transplant or treatment in pts with RRMM. Patients with standard-risk cytogenetics had lower baseline sBCMA levels vs those with high-risk cytogenetics. The kinetics of sBCMA change from baseline to C2D1 EOI corresponded with response to cevostamab, with greater reductions increasing the probability of best response. These early data suggest that sBCMA dynamics may be a potential tool for early disease monitoring and identification of response in RRMM. Updated data will be presented.
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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 | 0,001 | 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 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,001 | 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 ».