Carfilzomib: High Single Agent Response Rate with Minimal Neuropathy Even In High-Risk Patients
Notice bibliographique
Résumé
Abstract Abstract 1938 Background: Carfilzomib (CFZ), a selective, epoxyketone proteasome inhibitor, produces potent, sustained proteasome inhibition and lacks many of the off-target activities associated with bortezomib (BTZ). Durable single-agent activity with CFZ has been observed in patients (pts) with relapsed/refractory multiple myeloma (R/R MM) who have received multiple prior therapies as well as in pts with advanced stage disease or significant comorbidities (Jagannath et al. ASCO 2009 Meeting. Abstract 8504). PX-171-004, is an ongoing Phase 2 study of single-agent CFZ in pts with relapsed or refractory MM following 1–3 prior therapies. Here we present updated data on the BTZ-naïve pts and report on activity observed in pts with significant comorbidities or poor-risk cytogenetic or FISH markers for myeloma. Methods: Enrolled pts received either 20 mg/m2 for all treatment cycles, or a stepped-up, dose-escalating regimen of 20 mg/m2 for Cycle 1 and 27 mg/m2 for all treatment cycles thereafter. CFZ was administered on Days 1, 2, 8, 9, 15 and 16 every 28 days (one cycle), for a maximum of 12 cycles. Dexamethasone, 4mg, was administered prior to CFZ in Cycle 1 only. For the present analyses, pts were stratified according to several baseline criteria including ECOG performance score, cytogenetic or FISH markers of high-risk disease per mSMART criteria [del17p, t(4;14), t(14;16), del13 by karyotype and hypodiploidy] and serum ß2-microglobulin. The primary endpoint was overall response rate (ORR) per International Uniform Response Criteria for Multiple Myeloma. Results: Data are available for 110 BTZ-naïve pts. Baseline pt characteristics included: 60% of ECOG PS ≥1; 53% baseline neuropathy Grade 1/2; 30% moderately impaired renal function (CrCl <60 mL/min), and 17% diabetes. Approximately 13% of pts had cytogenetic or FISH markers of poor prognosis. The ORR for the entire BTZ-naïve population was 48%; the ORR for BTZ-naïve pts receiving 20–27 mg/m2 was 54%. The ORRs stratified according to dose and baseline measurements are detailed in the following table. The most common treatment-emergent AEs, regardless of relationship to study drug, were fatigue (61%), nausea (43%), anemia (39%), dyspnea (36%), cough (34%), headache (31%), thrombocytopenia and upper respiratory infections (30% each) and were primarily ≤ Grade 2 in severity. Grade 3/4 AEs occurring in >5% of pts included lymphopenia, neutropenia, pneumonia, thrombocytopenia, anemia and fatigue. Of note, there were no discontinuations for peripheral neuropathy and only 1 pt with impaired renal function at baseline was discontinued for creatinine increases. Twenty-four pts remain on study and 23% have completed the protocol-specified 12 cycles of therapy. Seventeen pts (20%) elected to continue CFZ on an extended treatment protocol (PX-171-010); no cumulative toxicities have been noted. Conclusions: Single-agent CFZ achieves high response rates in BTZ-naïve pts with relapsed myeloma, with minimal neuropathy, even in the setting of high-risk disease. In addition, single-agent CFZ continues to demonstrate long-term tolerability even in pts with comorbid conditions, including renal insufficiency and diabetes, who may benefit from a steroid-sparing treatment regimen. The data from this ongoing trial show that CFZ is a promising new treatment for multiple myeloma in the relapsed or refractory setting. Disclosures: Vij: Onyx: Honoraria. Kaufman:Celgene: Consultancy, Research Funding; Millenium: Consultancy; Merck: Research Funding. Jakubowiak:Millennium Pharmaceuticals, Inc.: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria; Centocor Ortho Biotec: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Exelixis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Bristol-Myers Squibb: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Jagannath:Millenium, OrthoBiotec, Celgene, Merck, Onyx: Honoraria; Imedex, Medicom World Wide, Optum Health Education, PER Group: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Kukreti:Celgene: Honoraria; Roche: Honoraria; Ortho Biotech: Honoraria. Alsina:Millenium: Consultancy, Research Funding; Celgene: Research Funding; Novartis: Consultancy. Gabrail:Millenium: Research Funding. Vesole:Celgene: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau; Millenium: Speakers Bureau. Le:Onyx Pharmaceuticals: Employment. Wang:Celgene: Research Funding; Onyx: Research Funding; Millenium: Research Funding; Novartis: Research Funding.
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 enseignantsNi 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.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| 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) | 0,002 | 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 source (Gemma direct ou Codex distillé), 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 ».