Minimal Residual Disease Status Predicts Outcome in Patients With Previously Untreated Follicular Lymphoma: A Prospective Analysis of the Phase III GALLIUM Study.


Journal

Journal of clinical oncology : official journal of the American Society of Clinical Oncology
ISSN: 1527-7755
Titre abrégé: J Clin Oncol
Pays: United States
ID NLM: 8309333

Informations de publication

Date de publication:
14 Dec 2023
Historique:
medline: 14 12 2023
pubmed: 14 12 2023
entrez: 14 12 2023
Statut: aheadofprint

Résumé

We report an analysis of minimal residual/detectable disease (MRD) as a predictor of outcome in previously untreated patients with follicular lymphoma (FL) from the randomized, multicenter GALLIUM (ClinicalTrials.gov identifier: NCT01332968) trial. Patients received induction with obinutuzumab (G) or rituximab (R) plus bendamustine, or cyclophosphamide, doxorubicin, vincristine, prednisone (CHOP) or cyclophosphamide, vincristine, prednisone (CVP) chemotherapy, followed by maintenance with the same antibody in responders. MRD status was assessed at predefined time points (mid-induction [MI], end of induction [EOI], and at 4-6 monthly intervals during maintenance and follow-up). Patients with evaluable biomarker data at diagnosis were included in the survival analysis. MRD positivity was associated with inferior progression-free survival (PFS) at MI (hazard ratio [HR], 3.03 [95% CI, 2.07 to 4.45]; MRD status can determine outcome after induction and during maintenance, and MRD negativity is a prerequisite for long-term disease control in FL. The higher MRD responses after G- versus R-based treatment confirm more effective tumor cell clearance.

Identifiants

pubmed: 38096461
doi: 10.1200/JCO.23.00838
doi:

Banques de données

ClinicalTrials.gov
['NCT01332968']

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

JCO2300838

Auteurs

Christiane Pott (C)

University Hospital Schleswig-Holstein, Kiel, Germany.

Vindi Jurinovic (V)

Department of Internal Medicine III, University Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany.
Institute for Medical Information Processing, Biometry, and Epidemiology, Faculty of Medicine, Ludwig-Maximilians-University Munich, Munich, Germany.

Judith Trotman (J)

Concord Repatriation General Hospital, University of Sydney, Sydney, NSW, Australia.

Britta Kehden (B)

University Hospital Schleswig-Holstein, Kiel, Germany.

Michael Unterhalt (M)

Department of Internal Medicine III, University Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany.

Michael Herold (M)

HELIOS Klinikum, Erfurt, Germany.

Richard van der Jagt (RV)

University of Ottawa, Ottawa Hospital, Ottawa, ON, Canada.

Ann Janssens (A)

University Hospitals Leuven, Leuven, Belgium.

Michael Kneba (M)

University Hospital Schleswig-Holstein, Kiel, Germany.

Jiri Mayer (J)

University Hospital and Masaryk University, Brno, Czech Republic.

Moya Young (M)

East Kent Hospital, Canterbury, United Kingdom.

Christian Schmidt (C)

Department of Internal Medicine III, University Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany.

Andrea Knapp (A)

F. Hoffmann-La Roche Ltd, Basel, Switzerland.

Tina Nielsen (T)

F. Hoffmann-La Roche Ltd, Basel, Switzerland.

Helen Brown (H)

Roche Products Ltd, Welwyn Garden City, United Kingdom.

Nathalie Spielewoy (N)

F. Hoffmann-La Roche Ltd, Basel, Switzerland.

Chris Harbron (C)

Roche Products Ltd, Welwyn Garden City, United Kingdom.

Alessia Bottos (A)

F. Hoffmann-La Roche Ltd, Basel, Switzerland.

Kirsten Mundt (K)

F. Hoffmann-La Roche Ltd, Basel, Switzerland.

Robert Marcus (R)

Kings College Hospital, London, United Kingdom.

Wolfgang Hiddemann (W)

Department of Internal Medicine III, University Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany.

Eva Hoster (E)

Department of Internal Medicine III, University Hospital of the Ludwig-Maximilians-University Munich, Munich, Germany.
Institute for Medical Information Processing, Biometry, and Epidemiology, Faculty of Medicine, Ludwig-Maximilians-University Munich, Munich, Germany.

Classifications MeSH