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Enregistrement W2988147901 · doi:10.1182/blood-2019-123488

Ofatumumab Plus Hypercvad/MA Induction Leads to High Rates of Minimal Residual Disease (MRD) Negativity in Patients with Newly Diagnosed Mantle Cell Lymphoma, Results of a Phase 2 Study

2019· article· en· W2988147901 sur OpenAlexaff
Pallawi Torka, Nishitha Reddy, Adrienne Groman, Angela Kader, Jenna Nichols, Alan D. Hutson, Cory Mavis, Joseph D. Tario, Paul K. Wallace, AnneMarie W. Block, Sheila N.J. Sait, Bora E. Baysal, Vishala T. Neppalli, Suchitra Sundaram, Francisco J. Hernandez‐Ilizaliturri

Notice bibliographique

RevueBlood · 2019
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensHealth Sciences Centre
Organismes subventionnairesnon disponible
Mots-clésMedicineOfatumumabRituximabMantle cell lymphomaInternal medicineMinimal residual diseaseAutologous stem-cell transplantationOncologySurgeryGastroenterologyTransplantationLymphomaLeukemia

Résumé

récupéré en direct d'OpenAlex

Background: Minimal residual disease (MRD) status is an independent prognostic marker for response duration in patients with mantle cell lymphoma (MCL). Rituximab-based therapy led to a molecular remission (MR) in 48% young MCL patients treated with intense chemo-immunotherapy. More recently, 4 courses of R-DHAP were reported to yield a 66% MRD negativity rate prior to high dose chemotherapy and autologous stem cell transplant (HDC-ASCT). Ofatumumab is a humanized type 1 anti-CD20 mAb that binds to a unique, more membrane-proximal epitope on the CD20 antigen. Pre-clinical studies have demonstrated that ofatumumab (O) is more active than rituximab in eliciting complement-mediated cytotoxicity (CMC) in MCL cell lines, primary tumor cells and murine lymphoma xenograft models. Hence, we evaluated the safety and efficacy of combining ofatumumab with HyperCVAD/MA (O-HyperCVAD) in newly diagnosed MCL (NCT01527149). Study design: This was a single-arm, open-label, multi-center (2 centers), prospective, phase 2 clinical trial. Thirty-seven transplant-eligible patients with newly diagnosed MCL were enrolled. Ofatumumab (1000mg) was given every 3 weeks on day 1, followed by standard doses of alternating HyperCVAD and MA starting on day 3. A total of 6 cycles were given at 3-week intervals followed by HDC-ASCT. Maintenance rituximab 375 mg/m2 every 2 months for 3 years post-ASCT was added after protocol amendment following publication of the LyMa study. Primary objectives were to determine the overall response rate (ORR) and CR rate (CRR) at the end of therapy. Secondary objectives included MRD negativity, progression free survival (PFS), overall survival (OS), feasibility of successful mobilization of autologous stem cells and safety assessment. MRD assessment was performed in peripheral blood (PB) and bone marrow (BM) using high sensitivity multiparametric flowcytometry at baseline, after 2 cycles, after 4 cycles, pre-ASCT, post-ASCT and 6 months post-ASCT. Exploratory endpoints included correlation of MRD with survival, correlation of surface CD20 levels with response and to compare differences in ORR according to Cheson and modified Cheson (MC) criteria. Results: Median age was 60yrs; 73% of patients were male, 92% had an ECOG PS 0-1, majority (81%) had stage 4 disease with 86% having bone marrow involvement; 22% had low risk, 43% had intermediate risk and 35% had high risk MIPI score; 11% had blastoid and 11% had pleiomorphic variants of MCL; 25% harbored p53 deletion. MRD was assessed in 28 of 37 patients; 9 patients from partner site were excluded due to time lag in sample delivery for flowcytometry. MRD positivity was noted in 75% patients in PB and 71.4% patients in BM at baseline. Subsequent samples showed an MRD negativity rate of 82.1% and 64.3% after 2 cycles and 76% and 96% pre-ASCT in PB and BM respectively. Post-ASCT, MRD in BM and PB was found negative in 58% and 90%, respectively. Attainment of early MRD negativity (after 2 cycles) was associated with improved PFS (p=0.04) and OS (p=0.03). Since majority of patients were MRD negative pre-ASCT, we could not demonstrate correlation between pre-ASCT MRD and survival outcomes. The ORR and CRR were 95% and 62% by Cheson and 97% and 84% respectively by modified Cheson criteria. At the end of induction therapy, ORR was 86% and CRR was 62% by Cheson criteria. 73% pts underwent HDC-ASCT. Only one patient failed stem cell collection. The median PFS and OS were 45.5 months and 56 months respectively. There were 3 deaths while on therapy- 2 from sepsis and one from acute myeloid leukemia. Grade 3 and 4 adverse events (AEs) were observed in 22% and 68% of the patients, most of them were hematological AEs related to the chemotherapy regimen. Correlation of surface CD20 expression using mean fluorescent intensity (MFI) and response rates is currently under analysis and will be reported at the meeting. Conclusion: The addition of ofatumumab to HyperCVAD/MA led to high rates of MRD negativity by flowcytometry in patients with newly diagnosed MCL. Early MRD negativity (after 2 cycles) was associated with better PFS and OS. Despite higher ORR, CR and MRD negativity rates, survival outcomes were similar to historical cohorts using rituximab-HypeCVAD/MA. This may be in part due to increased number of patients with high-risk disease in our study. Disclosures Reddy: KITE Pharma: Consultancy; Abbvie: Consultancy; Genentech: Research Funding; Celgene: Consultancy; BMS: Consultancy, Research Funding. Sait:Celgene: Consultancy. OffLabel Disclosure: Ofatumumab was investigated in combination with chemotherapy in newly diagnosed mantle cell lymphoma in this clinical trial.

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)0,003
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: Essai non randomisé · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,003
Score d'incertitude au seuil0,015

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,001
Méta-épidémiologie (sens strict)0,0010,001
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,001
Science ouverte0,0010,000
Intégrité de la recherche0,0010,002
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 Opus0,012
Tête enseignante GPT0,257
Écart entre enseignants0,245 · 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'étudeEssai non randomisé
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

Citations1
Publié2019
Routes d'admission1
Résumé présentoui

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