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Enregistrement W2560209617 · doi:10.1182/blood.v126.23.3978.3978

Analysis of Minimal Residual Disease in Follicular Lymphoma Patients in Gadolin, a Phase III Study of Obinutuzumab Plus Bendamustine Versus Bendamustine in Relapsed/Refractory Indolent Non-Hodgkin Lymphoma

2015· article· en· W2560209617 sur OpenAlexaff
Christiane Pott, David Belada, Nathalie Danesi, Günter Fingerle‐Rowson, John G. Gribben, Chris Harbron, Eva Hoster, Brad S. Kahl, Kirsten Mundt, Catherine Sebban, Laurie H. Sehn, Bruce D. Cheson

Notice bibliographique

RevueBlood · 2015
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensUniversity of British ColumbiaBC Cancer Agency
Organismes subventionnairesnon disponible
Mots-clésBendamustineMedicineObinutuzumabInternal medicineMinimal residual diseaseFollicular lymphomaRituximabOncologySurrogate endpointGastroenterologyLymphomaLeukemia

Résumé

récupéré en direct d'OpenAlex

Abstract Background Minimal residual disease (MRD) response after first-line treatment of follicular lymphoma (FL) is likely to predict clinical course. The prognostic relevance of MRD in relapsed/refractory (r/r) FL remains unclear. We report MRD assessment with respect to clinical outcomes in r/r FL pts in GADOLIN (NCT01059630). GADOLIN is an open-label, multicenter, randomized phase III study of pts with r/r indolent NHL (refractory to rituximab) to investigate the efficacy and safety of obinutuzumab (G) plus bendamustine (B) followed by G maintenance vs B alone. A significant improvement in PFS in the G-B arm was reported (Sehn L, et al. ASCO 2015). Methods MRD was analyzed by t(14;18) and/or Ig variable domain allele-specific RQ-PCR in pts with a clonal marker detectable at diagnosis in peripheral blood (PB) or bone marrow (BM) by consensus PCR. (Assessment of Ig rearrangements allows detection of a lymphoma marker in pts with a t(14;18) breakpoint not detected by generic PCR and avoids false positive signals, as a low level of the translocation can be detected in some healthy individuals.) Assays were designed with a sensitivity of 10-5 and accepted for MRD assessment when a sensitivity of ≤10-4 was reached. Results were evaluated according to ESG-MRD criteria. MRD status was analyzed at interim staging (C4, D1) and after end of induction (EOI), and defined as negative (-ve) if RQ-PCR and subsequent nested PCR produced a -ve result, i.e. achieving an MRD response. PFS was measured from the EOI date. Results 321 of 396 randomized pts were diagnosed with FL. Baseline samples (PB and/or BM) were available for 285 of the 304 FL pts who had completed induction at the clinical cut-off date (1 Sep 2014; FL-ITT population). A clonal marker was detected in 183 (64%) of these pts; 128/183 (70%) had a RQ-PCR assay fulfilling the sensitivity criteria. EOI samples were available for 93 pts (biomarker-evaluable population) and 64 had a PB sample at mid-induction to assess MRD-response kinetics. The distribution of age, stage, and FLIPI in the biomarker-evaluable population was similar to the non-evaluable population of the B arm, while there was an enrichment of younger age, advanced-stage disease, and high risk FLIPI in the biomarker-evaluable population of the G-B arm. MRD response was analyzed in 93 pts at EOI and was significantly higher in pts receiving G-B induction, with 42/51 (82%) achieving MRD -ve status compared with 18/42 pts (43%) in the B arm (p<0.0001, Chi-Squared). At mid-induction, 30/39 (77%) pts in the G-B arm achieved early MRD -ve status vs 10/25 (40%) in the B arm (p=0.0029; Table). MRD response was associated with clinical CR; 2/33 (6%) MRD positive (+ve) pts vs 17/60 (28%) MRD -ve pts achieved a CR. Moreover, 39/63 pts with partial remission were MRD -ve. Pts in the G-B arm who were MRD -ve at EOI had an improved PFS at 24 mo post-EOI (74%; median PFS not reached) compared with the B arm (21%; median PFS, 7.6 mo). PFS for MRD non-responders was comparably poor in both treatment arms; all pts progressed before 24 mo with a post-EOI median PFS of 5.4 mo (G-B) and 3.0 mo (B; Figure). Discussion Our results suggest that G significantly contributes to the depth of response to B vs B alone during induction treatment and support the notion that MRD status at EOI treatment is a sensitive marker of efficacy in the setting of r/r FL. MRD response identifies a prognostically favorable group of pts that appear to benefit from treatment with G-B at relapse. The improved PFS outcome suggests that these pts also benefit from G maintenance. Pts without an MRD response had a very poor prognosis, irrespective of treatment arm. Future analyses will assess MRD kinetics during maintenance and follow-up. Figure 1. MRD Status by Treatment Arm at EOI and mid induction Figure 1. MRD Status by Treatment Arm at EOI and mid induction Figure 2. PFS from the Date of the EOI Sample, by Treatment Arm and MRD Status Figure 2. PFS from the Date of the EOI Sample, by Treatment Arm and MRD Status Disclosures Off Label Use: Obinutuzumab (GA101; Gazyva/Gazyvaro) is a CD20-directed cytolytic antibody and is indicated, in combination with chlorambucil, for the treatment of patients with previously untreated chronic lymphocytic leukemia. This abstract reports on bendamustine with or without obinutuzumab in patients with CD20+ R-ref, indolent non-Hodgkin lymphoma.. Belada:Janssen: Consultancy, Honoraria, Research Funding; Takeda: Consultancy, Honoraria, Research Funding; Gilead: Consultancy, Honoraria, Research Funding; Roche: Consultancy, Honoraria, Research Funding. Danesi:Roche: Employment. Fingerle-Rowson:Roche: Employment, Equity Ownership. Gribben:Celgene: Consultancy, Honoraria; Gilead: Honoraria; Roche/Genentech: Honoraria; Pharmacyclics: Honoraria; Janssen: Honoraria. Harbron:Roche: Employment, Equity Ownership; AstraZeneca: Equity Ownership. Kahl:Roche/Genentech: Consultancy; Seattle Genetics: Consultancy; Millennium: Consultancy; Cell Therapeutics: Consultancy; Celgene: Consultancy; Infinity: Consultancy; Pharmacyclics: Consultancy; Juno: Consultancy. Mundt:Roche/Genentech: Employment. Sehn:Roche/Genentech: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria; Lundbeck: Consultancy, Honoraria; Pfizer: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Gilead: Consultancy, Honoraria. Cheson:Teva: Research Funding; Gilead: Consultancy, Research Funding; Pharmacyclics: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Roche/Genentech: Consultancy, Research Funding; Spectrum: Consultancy; Astellas: Consultancy; Ascenta: Research Funding; AstraZeneca: Consultancy; MedImmune: 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 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)0,002
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 randomisé · Signal consensuel: Essai randomisé
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,002
Score d'incertitude au seuil0,010

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0010,000
Science ouverte0,0010,000
Intégrité de la recherche0,0010,001
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 Opus0,026
Tête enseignante GPT0,298
Écart entre enseignants0,271 · 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 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

Citations20
Publié2015
Routes d'admission1
Résumé présentoui

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