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

. 2026 Jan 10 ; 44 (2) : 117-128. [epub] 20251202

Jazyk angličtina Země Spojené státy americké Médium print-electronic

Typ dokumentu časopisecké články

Perzistentní odkaz   https://www.medvik.cz/link/pmid41329901

Grantová podpora
P50 CA097274 NCI NIH HHS - United States
U01 CA195568 NCI NIH HHS - United States
UH2 CA292129 NCI NIH HHS - United States

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.

1st Faculty of Medicine Charles University General Hospital Prague Czech Republic

4th Department of Internal Medicine Haematology University Hospital and Faculty of Medicine Hradec Kralove Czech Republic

BC Cancer Centre for Lymphoid Cancer and University of British Columbia Vancouver BC Canada

Cancer Sciences Division Somers Cancer Research Building Faculty of Medicine University of Southampton Southampton United Kingdom

Department of Biometry Lymphoma Study Association Clinical Research Hopital Lyon Sud Pierre Benite France

Department of Blood and Marrow Transplantation and Cellular Immunotherapy H Lee Moffitt Cancer Center and Research Institute Tampa FL

Department of Haematology Sir Charles Gairdner Hospital Perth Australia

Department of Hemato Oncology Faculty of Medicine and Dentistry Palacky University and University Hospital Olomouc Olomouc Czech Republic

Department of Hematology Aalborg University Hospital Aalborg Denmark

Department of Hematology and Medical Oncology Emory University School of Medicine Winship Cancer Institute Atlanta GA

Department of Hematology and U1245 Centre Henri Becquerel Rouen France

Department of Hematology Centre Hospitalier Universitaire de Lille Groupe de Recherche sur les Formes Injectables et les Technologies Associées Lille France

Department of Hematology Clinical Cancer Research Center Aalborg University Hospital Aalborg Denmark

Department of Hematology Hopital Lyon Sud Claude Bernard Lyon 1 University Pierre Benite France

Department of Hematology Karolinska University Hospital Stockholm Sweden

Department of Hematology Lyon Sud Hospital Lyon France

Department of Hematology Odense University Hospital Odense Denmark

Department of Hematology; Nancy University Hospital Vandoeuvre les nancy France

Department of Lymphoma and Myeloma The University of Texas MD Anderson Cancer Center Houston TX

Department of Lymphoma and Myeloma University of Texas MD Anderson Cancer Center Houston TX

Department of Medicine Vejle Hospital Vejle Denmark

Division of Clinical Epidemiology Department of Medicine Solna Karolinska Institutet Stockholm Sweden

Division of Clinical Epidemiology Dept of Medicine Solna Karolinska Institutet Stockholm Sweden

Division of Clinical Trials and Biostatistics Department of Quantitative Health Sciences Mayo Clinic Rochester MN

Division of Epidemiology Department of Quantitative Health Sciences Mayo Clinic Rochester MN

Division of Hematology Department of Internal Medicine Mayo Clinic Rochester MN

Division of Hematology Oncology and Bone and Marrow Transplantation Department of Internal Medicine University of Iowa Iowa City IA

Division of Hematology Oncology Weill Cornell Medicine New York NY

Faculty of Medicine Masaryk University Brno Czech Republic

Faculty of Science Palacky University Olomouc Olomouc Czech Republic

Fakultni nemocnice Kralovske Vinohrady Department of Haematology and 3rd Faculty of Medicine Charles University Prague Czech Republic

Hematology Department University Hospital UMR CNRS553 Montpellier France

Institution for Medicine at Huddinge Karolinska Institutet and Medical Unit Hematology at Solna Cancer Karolinska University Hospital Stockholm Sweden

Lymphoid Malignancies Unit Assistante Publique Hôpitaux de Paris APHP Hopital Henri Mondor Creteil France

Lymphoma Section University of Miami Sylvester Comprehensive Cancer Center Miami FL

Mater Research Institute University of Queensland Translational Research Institute Brisbane Queensland Australia

Medical School University of Western Australia Perth Australia

Memorial Sloan Kettering Cancer Center New York NY

Olivia Newton John Cancer Research Institute at Austin Health Melbourne Australia

Peter MacCallum Cancer Centre Royal Melbourne Hospital and University of Melbourne Melbourne Australia

Princess Margaret Cancer Centre UHN Toronto Ontario Canada

Rigshospitalet Department of Hematology Copenhagen Denmark

Southwest Oncology CommonSpirit Mercy Durango CO

University of Rochester Medical Center Department of Pathology and Laboratory Medicine Rochester NY

Washington University School of Medicine St Louis MO

Weill Cornell Medical College New York NY

Wilmot Cancer Institute University of Rochester Rochester NY

Zobrazit více v PubMed

Sant M, Allemani C, Tereanu C, et al. : Incidence of hematologic malignancies in Europe by morphologic subtype: results of the HAEMACARE project. Blood 116:3724–34, 2010 PubMed

Teras LR, DeSantis CE, Cerhan JR, et al. : 2016 US lymphoid malignancy statistics by World Health Organization subtypes. CA Cancer J Clin 66:443–459, 2016 PubMed

Link BK, Maurer MJ, Nowakowski GS, et al. : Rates and outcomes of follicular lymphoma transformation in the immunochemotherapy era: a report from the University of Iowa/MayoClinic Specialized Program of Research Excellence Molecular Epidemiology Resource. J Clin Oncol 31:3272–8, 2013 PubMed PMC

Sarkozy C, Maurer MJ, Link BK, et al. : Cause of death in follicular lymphoma in the first decade of the Rituximab Era: a pooled analysis of French and US cohorts. J Clin Oncol 37:144–152, 2019 PubMed PMC

Casulo C, Byrtek M, Dawson KL, et al. : Early relapse of follicular lymphoma after rituximab plus cyclophosphamide, doxorubicin, vincristine, and prednisone defines patients at high risk for death: an analysis from the National LymphoCare Study. J Clin Oncol 33:2516–22, 2015 PubMed PMC

Lipof JJ, Barr PM: Early progression of follicular lymphoma: biology and treatment. Hematol Oncol Clin North Am 34:757–769, 2020 PubMed

Weibull CE, Wasterlid T, Wahlin BE, et al. : Survival by First-line Treatment Type and Timing of Progression Among Follicular Lymphoma Patients: A National Population-based Study in Sweden. Hemasphere 7:e838, 2023 PubMed PMC

Maurer MJ, Bachy E, Ghesquieres H, et al. : Early event status informs subsequent outcome in newly diagnosed follicular lymphoma. Am J Hematol 91:1096–1101, 2016 PubMed PMC

Dreyling M, Ghielmini M, Rule S, et al. : Newly diagnosed and relapsed follicular lymphoma: ESMO Clinical Practice Guidelines for diagnosis, treatment and follow-up. Ann Oncol 32:298–308, 2021 PubMed

Brice P, Bastion Y, Lepage E, et al. : Comparison in low-tumor-burden follicular lymphomas between an initial no-treatment policy, prednimustine, or interferon alfa: a randomized study from the Groupe d'Etude des Lymphomes Folliculaires. Groupe d'Etude des Lymphomes de l'Adulte. J Clin Oncol 15:1110–7, 1997 PubMed

Federico M, Bellei M, Marcheselli L, et al. : Follicular lymphoma international prognostic index 2: a new prognostic index for follicular lymphoma developed by the international follicular lymphoma prognostic factor project. J Clin Oncol 27:4555–62, 2009 PubMed

Bachy E, Maurer MJ, Habermann TM, et al. : A simplified scoring system in de novo follicular lymphoma treated initially with immunochemotherapy. Blood 132:49–58, 2018 PubMed PMC

Pastore A, Jurinovic V, Kridel R, et al. : Integration of gene mutations in risk prognostication for patients receiving first-line immunochemotherapy for follicular lymphoma: a retrospective analysis of a prospective clinical trial and validation in a population-based registry. Lancet Oncol 16:1111–1122, 2015 PubMed

Bachy E, Seymour JF, Feugier P, et al. : Sustained progression-free survival benefit of rituximab maintenance in patients with follicular lymphoma: long-term results of the PRIMA Study. J Clin Oncol 37:2815–2824, 2019 PubMed PMC

Bachy E, Cerhan JR, Salles G: Early progression of disease in follicular lymphoma is a robust correlate but not a surrogate for overall survival. Blood Adv 5:1729–1732, 2021 PubMed PMC

Collins GS, Reitsma JB, Altman DG, et al. : Transparent reporting of a multivariable prediction model for individual prognosis or diagnosis (TRIPOD): the TRIPOD Statement. BMC Med 13:1, 2015 PubMed PMC

van Buuren S, Groothuis-Oudshoorn K: mice: Multivariate imputation by chained equations in R. J Stat Software 45:1–67, 2011

Marcus R, Davies A, Ando K, et al. : Obinutuzumab for the first-line treatment of follicular lymphoma. N Engl J Med 377:1331–1344, 2017 PubMed

Morschhauser F, Fowler NH, Feugier P, et al. : Rituximab plus Lenalidomide in Advanced Untreated Follicular Lymphoma. N Engl J Med 379:934–947, 2018 PubMed PMC

Solal-Celigny P, Roy P, Colombat P, et al. : Follicular lymphoma international prognostic index. Blood 104:1258–65, 2004 PubMed

Cerhan JR, Maurer MJ, Link BK, et al. : The Lymphoma Epidemiology of Outcomes cohort study: Design, baseline characteristics, and early outcomes. Am J Hematol 99:408–421, 2024 PubMed PMC

Salles G, Seymour JF, Offner F, et al. : Rituximab maintenance for 2 years in patients with high tumour burden follicular lymphoma responding to rituximab plus chemotherapy (PRIMA): a phase 3, randomised controlled trial. Lancet 377:42–51, 2011 PubMed

Cerhan JR, Link BK, Habermann TM, et al. : Cohort Profile: The Lymphoma Specialized Program of Research Excellence (SPORE) Molecular Epidemiology Resource (MER) Cohort Study. Int J Epidemiol 46:1753–1754i, 2017 PubMed PMC

Friedberg JW, Kahl BS, Leonard JP: The roadmap forward in follicular lymphoma: time for a precision approach. ASH Clin News 1:29–30, 2015

Freeman CL, Kridel R, Moccia AA, et al. : Early progression after bendamustine-rituximab is associated with high risk of transformation in advanced stage follicular lymphoma. Blood 134:761–764, 2019 PubMed

Day JR, Larson MC, Durani U, et al. : Treatment patterns and outcomes in follicular lymphoma with POD24: an analysis from the LEO Consortium. Blood Adv, 2024

Goldman ML, Mao JJ, Strouse CS, et al. : Surveillance imaging during first remission in follicular lymphoma does not impact overall survival. Cancer 127:3390–3402, 2021 PubMed PMC

Strati P, Ahmed MA, Fowler NH, et al. : Pre-treatment maximum standardized uptake value predicts outcome after frontline therapy in patients with advanced stage follicular lymphoma. Haematologica 105:1907–1913, 2020 PubMed PMC

Barraclough A, Agrawal S, Talaulikar D, et al. : Impact and utility of follicular lymphoma GELF criteria in routine care: an Australasian Lymphoma Alliance study. Haematologica 109:3338–3345, 2024 PubMed PMC

Khurana A, Mwangi R, Ansell SM, et al. : Patterns of therapy initiation during the first decade for patients with follicular lymphoma who were observed at diagnosis in the rituximab era. Blood Cancer J 11:133, 2021 PubMed PMC

Enrichment Strategies for Clinical Trials to Support Determination of Effectiveness of Human Drugs and Biological Products Guidance for Industry. U.S. Department of Health and Human Services Food and Drug Administration Center for Drug Evaluation and Research (CDER) Center for Biologics Evaluation and Research (CBER), March 2019

Kahl BS, Yang DT: Follicular lymphoma: evolving therapeutic strategies. Blood 127:2055–63, 2016 PubMed

Jelicic J, Stauffer Larsen T, Bukumiric Z, et al. : The clinical applicability of current prognostic models in follicular lymphoma: A systematic review. Crit Rev Oncol Hematol 164:103418, 2021 PubMed

Mir F, Mattiello F, Grigg A, et al. : Follicular Lymphoma Evaluation Index (FLEX): A new clinical prognostic model that is superior to existing risk scores for predicting progression-free survival and early treatment failure after frontline immunochemotherapy. Am J Hematol 95:1503–1510, 2020 PubMed PMC

International CLL-IPI working group: An international prognostic index for patients with chronic lymphocytic leukaemia (CLL-IPI): a meta-analysis of individual patient data. Lancet Oncol 17:779–790, 2016 PubMed

Hoster E, Dreyling M, Klapper W, et al. : A new prognostic index (MIPI) for patients with advanced-stage mantle cell lymphoma. Blood 111:558–65, 2008 PubMed

Friedberg JW: Update on follicular lymphoma. Hematol Oncol 41 Suppl 1:43–47, 2023 PubMed PMC

Rutherford SC, Yin J, Pederson L, et al. : Relevance of Bone Marrow Biopsies for Response Assessment in US National Cancer Institute National Clinical Trials Network Follicular Lymphoma Clinical Trials. J Clin Oncol 41:336–342, 2023 PubMed PMC

Rutherford SC, Herold M, Hiddemann W, et al. : Impact of bone marrow biopsy on response assessment in immunochemotherapy-treated lymphoma patients in GALLIUM and GOYA. Blood Adv 4:1589–1593, 2020 PubMed PMC

Seymour JF, Marcus R, Davies A, et al. : Association of early disease progression and very poor survival in the GALLIUM study in follicular lymphoma: benefit of obinutuzumab in reducing the rate of early progression. Haematologica 104:1202–1208, 2019 PubMed PMC

Casulo C, Dixon JG, Le-Rademacher J, et al. : Validation of POD24 as a robust early clinical end point of poor survival in FL from 5225 patients on 13 clinical trials. Blood 139:1684–1693, 2022 PubMed PMC

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