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Enregistrement W2979940110 · doi:10.1182/blood.v128.22.613.613

Minimal Residual Disease in Patients with Follicular Lymphoma Treated with Obinutuzumab or Rituximab As First-Line Induction Immunochemotherapy and Maintenance in the Phase 3 GALLIUM Study

2016· article· en· W2979940110 sur OpenAlexaff
Christiane Pott, Eva Hoster, Britta Kehden, Michael Unterhalt, Michael Herold, Richard H. van der Jagt, Ann Janssens, Michael Kneba, Jiřı́ Mayer, Chris Pocock, Nathalie Danesi, Günter Fingerle‐Rowson, Chris Harbron, Kirsten Mundt, Robert Marcus, Wolfgang Hiddemann

Notice bibliographique

RevueBlood · 2016
Typearticle
Langueen
DomaineMedicine
ThématiqueLymphoma Diagnosis and Treatment
Établissements canadiensUniversity of Ottawa
Organismes subventionnairesnon disponible
Mots-clésObinutuzumabFollicular lymphomaMedicineMinimal residual diseaseBendamustineInternal medicineRituximabOncologySurrogate endpointHazard ratioGastroenterologyImmunologyLymphomaLeukemiaConfidence interval

Résumé

récupéré en direct d'OpenAlex

Abstract Background: Minimal residual disease (MRD) status reflects treatment efficacy and may predict prognosis after first-line therapy in patients (pts) with follicular lymphoma (FL). GALLIUM (NCT01332968) is an ongoing, randomized global Phase 3 study evaluating the efficacy and safety of obinutuzumab (GA101; GAZYVA/GAZYVARO; G) vs rituximab (R) as induction (with chemotherapy [chemo]; bendamustine, CHOP or CVP) and maintenance (in responders) in previously untreated pts with indolent non-Hodgkin lymphoma. In GALLIUM, the primary endpoint of investigator-assessed PFS in pts with FL was significantly improved with G- vs R-based treatment. We report the results of MRD assessment at mid induction (MI) and end of induction (EOI) in FL pts in GALLIUM. Methods: Diagnostic peripheral blood (PB) and bone marrow (BM) samples from FL pts were screened by consensus PCR to detect a t(14;18) translocation and/or clonal Ig variable domain rearrangement suitable for MRD assessment. In pts with a detectable clonal marker, allele- or translocation-specific real-time quantitative (RQ)-PCR assays were designed with a sensitivity ≤10-4. RQ-PCR data were evaluated by European Study Group criteria for MRD detection (van der Velden, Leukemia 2007). MRD status was assessed at MI in PB, and at EOI in PB and BM, and defined as negative (MRD response) if RQ-PCR and subsequent nested PCR were negative in all samples analyzed at the respective time point. Results: Of the 1202 FL pts enrolled in GALLIUM, 1138 provided consent for MRD analyses. Baseline PB or BM samples were available for 1101 pts; a clonal marker was detected in 968 (88%) of these pts and 815 (74%) had an RQ-PCR assay fulfilling sensitivity criteria. Pts with a detectable clonal marker had baseline characteristics comparable to pts without a marker, with the exception of higher-stage disease (61% vs 34% Ann Arbor stage IV), reflecting increased BM involvement. Among 696 pts with an available PB or BM sample at EOI, MRD response was significantly higher in the G-chemo arm than the R-chemo arm (92% vs 85%; p=0.0041; Table 1). BM clearance of residual tumor cells at EOI was higher in the G-chemo vs R-chemo arm (93% [199/214] vs 83% [165/200]; p=0.0014), whereas PB clearance at EOI was similarly high in both arms (96% [323/336] vs 94% [320/341]; p=0.22). MRD clearance occurred early during treatment: at MI, 94% of pts in the G-chemo arm achieved MRD-negative status in PB compared with 89% in the R-chemo arm (p=0.013; Table 2). The anti-lymphoma activity of G-chemo induction was confirmed by analyzing quantitative MRD data in PB at MI: all 20 (100%) pts who remained MRD-positive at MI in the G-chemo arm had low-level MRD (below the limit of quantification) compared with 24/38 (63%) pts in the R-chemo arm. The chemo backbone in the R-chemo arm affected MRD status in PB at EOI giving an MRD response rate of 96% (201/209) after R-bendamustine (B), 93% (100/108) after R-CHOP, and 79% (19/24) after R-CVP. No such effect was seen in the G-chemo arm, where MRD response rates in PB at EOI were high and similar with all three chemo regimens: 96% (187/194), 96% (105/109), and 94% (31/33), respectively. Similarly, in BM, chemo had a large influence on MRD-negative status at EOI in the R-chemo arm (87% [100/115] after R-B, 74% [55/74] after R-CHOP), but negligible impact in the G-chemo arm (93% [109/117] after G-B, 93% [76/82] after G-CHOP). Achievement of MRD negativity at EOI in PB/BM for pts with CR/PR at EOI was associated with longer subsequent PFS, with a hazard ratio of 0.35 (95% CI, 0.22, 0.56; p<0.0001; Figure 1), and comparable effects in both treatment arms. Conclusions: Data from this exploratory analysis support the potential prognostic value of MRD assessment after EOI in FL pts treated with immunochemotherapy. The higher proportion of pts achieving MRD-negative status at MI and EOI, and of pts with low-level MRD among MRD-positives at MI, in the G-chemo arm suggests that G-based induction induces rapid and more effective tumor cell clearance than R-containing therapy. G was more effective than R at enhancing the depth of response to induction therapy in PB and BM, potentially leading to a compensation of differential chemo activity. Future analyses of MRD kinetics during maintenance/follow-up will investigate the pattern and prognostic value of changes in MRD status before relapse, and further evaluate the impact of different chemo regimens. Figure 1. PFS from date of EOI sample by MRD status in PB and/or BM Figure 1. PFS from date of EOI sample by MRD status in PB and/or BM Disclosures Herold: Roche: Honoraria, Other: Grants; Genentech: Other: Grants; Celgene: Honoraria; Gilead: Other: Personal fees from member advisory board. Kneba:AbbVie: Consultancy, Honoraria, Other: Travel grants; Gilead: Consultancy, Honoraria, Other: Travel grants, Research Funding; Janssen-Cilag: Consultancy, Honoraria, Other: Travel grants; Roche: Consultancy, Honoraria, Other: Travel grants, Research Funding; Amgen: Research Funding; Glaxo-SmithKline: Other: Travel grants. Mayer:AOP Orphan Pharmaceuticals: Research Funding; Novartis: Research Funding. Danesi:F. Hoffmann-La Roche Ltd: Employment. Fingerle-Rowson:Roche: Employment, Equity Ownership. Harbron:Roche: Employment, Equity Ownership; AstraZeneca: Equity Ownership. Mundt:Roche: Employment. Marcus:Takeda: Consultancy, Speakers Bureau; Roche: Consultancy, Speakers Bureau. Hiddemann:Janssen: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: 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 seuil0,009

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0020,001
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
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 Opus0,010
Tête enseignante GPT0,245
Écart entre enseignants0,235 · 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

Citations46
Publié2016
Routes d'admission1
Résumé présentoui

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