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Flipi24: a modern prognostic model and clinical trial enrichment tool for newly diagnosed follicular lymphoma

Flipi24: a modern prognostic model and clinical trial enrichment tool for newly diagnosed follicular lymphoma
Flipi24: a modern prognostic model and clinical trial enrichment tool for newly diagnosed follicular lymphoma

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.

Conclusions: 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.

Humans, Lymphoma, Follicular/mortality, Male, Female, Middle Aged, Aged, Prognosis, Prospective Studies, Risk Assessment, Adult, Clinical Trials, Phase III as Topic, Randomized Controlled Trials as Topic, Antineoplastic Combined Chemotherapy Protocols/therapeutic use
1527-7755
117-128
Maurer, Matthew J.
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Prochazka, Vit K.
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El-Galaly, Tarec Christoffer
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Chihara, Dai
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Martin, Peter
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Cohen, Jonathon B.
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Lossos, Izidore S.
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et al.
Maurer, Matthew J.
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Bachy, Emmanuel
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Cahn, Elliot J.
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Fournier, Marguerite
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Lossos, Izidore S.
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Maurer, Matthew J., Prochazka, Vit K. and El-Galaly, Tarec Christoffer , et al. (2026) Flipi24: a modern prognostic model and clinical trial enrichment tool for newly diagnosed follicular lymphoma. Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 44 (2), 117-128. (doi:10.1200/JCO-25-00892).

Record type: Article

Abstract

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.

Conclusions: 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.

Text
FLIPI24_final_submitted_clean - Accepted Manuscript
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e-pub ahead of print date: 2 December 2025
Published date: 10 January 2026
Keywords: Humans, Lymphoma, Follicular/mortality, Male, Female, Middle Aged, Aged, Prognosis, Prospective Studies, Risk Assessment, Adult, Clinical Trials, Phase III as Topic, Randomized Controlled Trials as Topic, Antineoplastic Combined Chemotherapy Protocols/therapeutic use

Identifiers

Local EPrints ID: 509086
URI: http://eprints.soton.ac.uk/id/eprint/509086
ISSN: 1527-7755
PURE UUID: f3a0142c-a120-45ef-8f25-a0c87e469d75
ORCID for Andrew J. Davies: ORCID iD orcid.org/0000-0002-7517-6938

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Date deposited: 11 Feb 2026 17:35
Last modified: 12 Feb 2026 02:46

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Contributors

Author: Matthew J. Maurer
Author: Vit K. Prochazka
Author: Tarec Christoffer El-Galaly
Author: Christopher R. Flowers
Author: Diego Villa
Author: Emmanuel Bachy
Author: Elliot J. Cahn
Author: Marguerite Fournier
Author: Melissa C. Larson
Author: Caroline E. Dietrich
Author: Lasse Hjort Jakobsen
Author: Hervé Ghesquières
Author: Robert Kridel
Author: Maher K. Gandhi
Author: Chan Y. Cheah
Author: Eliza A. Hawkes
Author: John F. Seymour
Author: Ciara L. Freeman
Author: Michael R. Clausen
Author: Björn E. Wahlin
Author: Jonathan W. Friedberg
Author: Carla Casulo
Author: Thomas M. Habermann
Author: Yucai Wang
Author: Loretta J. Nastoupil
Author: Peter de Nully Brown
Author: David Belada
Author: Andrea Janíková
Author: Heidi Mocikova
Author: Tomáš Fürst
Author: Pierre Feugier
Author: Hervé Tilly
Author: Corinne Haioun
Author: Guillaume Cartron
Author: Richard Burack
Author: Dai Chihara
Author: Peter Martin
Author: Jonathon B. Cohen
Author: Izidore S. Lossos
Author: Brad S. Kahl
Author: Laurie H. Sehn
Author: Karin E. Smedby
Author: Gilles Salles
Author: Marek Trneny
Author: Brian K. Link
Author: Franck Morschhauser
Author: James R. Cerhan
Corporate Author: et al.

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