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FLIPI24: A Modern Prognostic Model and Clinical Trial Enrichment Tool for Newly Diagnosed Follicular Lymphoma

3Citations signalées, ce qui n’est pas une note de qualité
52Institutions déclarées
8Pays d’affiliation déclarés

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Le résumé fourni par la source

PURPOSE: Although most patients with follicular lymphoma (FL) can expect an indolent course, progressive lymphoma remains the primary cause of death during the first decade after diagnosis. Progression of disease within 24 months (POD24) of starting first-line (1L) immunochemotherapy defines a high-risk population with poor survival, but better risk stratification at diagnosis is needed. METHODS: The FLIPI24 model was developed and internally validated to predict 24-month event rates using individual data from 4,485 patients treated with 1L immunochemotherapy from 10 observational cohorts of FL. Overall and cause-specific survival was further evaluated in FLIPI24 risk groups. External validation in the 1L immunochemotherapy setting was performed using the prospective observational Lymphoma Epidemiology of Outcomes (LEO) cohort (N = 565) and three randomized phase III trials (N = 3,192); extension to all patients with FL (any 1L therapy) was performed in the LEO cohort (N = 1,445) and its Molecular Epidemiology Resource subcohort (N = 1,074). RESULTS: The FLIPI24 model uses age and four blood-based variables (hemoglobin, lactate dehydrogenase, beta-2 microglobulin, and WBC count). FLIPI24 showed consistent performance across validation and extension data sets, which was superior to existing prognostic tools. Across the four external immunochemotherapy validation data sets, patients with high-risk FLIPI24 (23%-32% of patients) had significantly higher 24-month event rates (22%-35%) and inferior 5-year overall survival (77%-83%) compared with patients with low-risk FLIPI24 (29%-31% of patients, 24-month event rates: 10%-12%; 5-year OS: 96%-97%). Results were consistent when evaluating lymphoma-related death and when extended to all patients with FL. CONCLUSION: The FLIPI24 model robustly stratifies, at diagnosis, patients with FL at increased risk of lymphoma-related death versus patients with very low lymphoma-related mortality during the first decade after diagnosis. FLIPI24 can be used to enrich future clinical trial designs in newly diagnosed FL.

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Le contrôle bibliographique ouvert

DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
FLIPI24: A Modern Prognostic Model and Clinical Trial Enrichment Tool for Newly Diagnosed Follicular Lymphoma
Date Crossref
10/01/2026
Éditeur
American Society of Clinical Oncology (ASCO)
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.

Les institutions déclarées

Mayo Clinic in ArizonaMayo Clinic in FloridaUniversity Hospital OlomoucPalacký University OlomoucAalborg University HospitalOdense University HospitalKarolinska InstitutetThe University of Texas MD Anderson Cancer CenterUniversity of British ColumbiaSpinal Cord Injury BCHôpital Lyon SudThe Lymphoma Academic Research OrganisationLymphoma Study AssociationLyon 1 UniversitéPrincess Margaret Cancer CentreTranslational Research InstituteThe University of QueenslandMater ResearchThe University of Western AustraliaSir Charles Gairdner HospitalOlivia Newton-John Cancer Wellness & Research CentreOlivia Newton-John Cancer Research InstitutePeter MacCallum Cancer CentreMoffitt Cancer CenterVejle SygehusKarolinska University HospitalUniversity of RochesterMercy Regional Medical CenterRigshospitaletUniversity Hospital Hradec KrálovéMasaryk UniversityUniversity Hospital Kralovske VinohradyCentre Hospitalier Régional et Universitaire de NancyDélégation Centre-EstCentre Henri BecquerelGénomique du cancer et du cerveauAssistance Publique – Hôpitaux de ParisHôpitaux Universitaires Henri-MondorUniversity of SouthamptonCentre National de la Recherche ScientifiqueCentre Hospitalier Universitaire de MontpellierUniversity of Rochester MedicineCornell UniversityWeill Cornell MedicineEmory UniversityPiedmont Cancer InstituteSylvester Comprehensive Cancer CenterWashington University in St. LouisMemorial Sloan Kettering Cancer CenterCharles UniversityUniversity of IowaCentre Hospitalier Universitaire de Lille

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

Les sujets associés

Lymphoma Diagnosis and TreatmentChronic Lymphocytic Leukemia ResearchCNS Lymphoma Diagnosis and Treatment

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