LTB ‐ TREAT : A validated international prognostic model for time to treatment in low tumour burden follicular lymphoma

Watchful waiting (WW) in low tumour burden follicular lymphoma (LTB FL) defers treatment. There is a need to develop a model to predict time to treatment (TTT). We aimed to develop and externally validate a model for TTT in LTB FL. We conducted a retrospective analysis across eight centres within the Australasian Lymphoma Alliance. Two hundred and twenty-nine patients were included between 2004 and 2022 with a median follow-up of 5.0 years (range 0.5-17.8 years) and a median age was 64 years. All patients were Group d'Etude des Lymphomes Folliculaires (GELF) negative and managed with WW. Elevated lactate dehydrogenase and >4 nodal areas were independent prognostic factors associated with shorter TTT. These factors formed a prognostic model identifying three groups: low 59% (median TTT 6.34 years), intermediate 36% (median TTT 4.08 years), high risk 5% (median TTT 1.49 years) (p < 0.001). There was a higher incidence of serious complications among risk groups (low 7.5% vs. intermediate 13.3% vs. high 25%; p = 0.096). The prognostic value of the LTB-TREAT model was confirmed in an external validation cohort. The low-risk group is predicted to have a prolonged TTT with WW and a high-risk group is predicted to experience early progression in whom treatment should be considered.

Authors

Institutions

Publication Details

Journal
British Journal of Haematology
Published
2026-08-27
DOI
https://doi.org/10.1111/bjh.70748
Primary Topic
Lymphoma Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

LTB ‐ TREAT : A validated international prognostic model for time to treatment in low tumour burden follicular lymphoma

Lukshe Kanagaratnam, Eliza A. Hawkes, Sylvain Choquet, Cyrielle Rodier et al.
British Journal of Haematology
Lymphoma Diagnosis and Treatment
article

LTB ‐ TREAT : A validated international prognostic model for time to treatment in low tumour burden follicular lymphoma

Lukshe Kanagaratnam, Eliza A. Hawkes, Sylvain Choquet, Cyrielle Rodier, Adrien Chauchet, Lachlan Webb, Adélie Herbin, Caitlyn Nguyen‐Ngo, Éric Durot, Abir Bhattacharyya, Denise Lee, Helen Cashman, Luani Barge, Chan Yoon Cheah, Nada Hamad, Greg Hapgood, Ross Salvaris, Kirk Morris, Sam Lai, Tessa Potezny, Niamh Waters, Costas K. Yannakou, Anita Pelecanos, Constantine S. Tam, Joshua Tobin, Cédric Rossi
article en

Abstract

Watchful waiting (WW) in low tumour burden follicular lymphoma (LTB FL) defers treatment. There is a need to develop a model to predict time to treatment (TTT). We aimed to develop and externally validate a model for TTT in LTB FL. We conducted a retrospective analysis across eight centres within the Australasian Lymphoma Alliance. Two hundred and twenty-nine patients were included between 2004 and 2022 with a median follow-up of 5.0 years (range 0.5-17.8 years) and a median age was 64 years. All patients were Group d'Etude des Lymphomes Folliculaires (GELF) negative and managed with WW. Elevated lactate dehydrogenase and >4 nodal areas were independent prognostic factors associated with shorter TTT. These factors formed a prognostic model identifying three groups: low 59% (median TTT 6.34 years), intermediate 36% (median TTT 4.08 years), high risk 5% (median TTT 1.49 years) (p < 0.001). There was a higher incidence of serious complications among risk groups (low 7.5% vs. intermediate 13.3% vs. high 25%; p = 0.096). The prognostic value of the LTB-TREAT model was confirmed in an external validation cohort. The low-risk group is predicted to have a prolonged TTT with WW and a high-risk group is predicted to experience early progression in whom treatment should be considered.

British Journal of Haematology
Box Hill Hospital (AU), The University of Queensland (AU), Université de Bourgogne (FR), QIMR Berghofer Medical Research Institute (AU), Royal Brisbane and Women's Hospital (AU), Epworth Hospital (AU), Princess Alexandra Hospital (AU), The Alfred Hospital (AU), Sir Charles Gairdner Hospital (AU), Westmead Hospital (AU), Sorbonne Université (FR), St Vincent's Hospital Sydney (AU), Centre Hospitalier Universitaire de Besançon (FR), Assistance Publique – Hôpitaux de Paris (FR), Centre Hospitalier Universitaire de Reims (FR), CHU Dijon Bourgogne (FR), Pitié-Salpêtrière Hospital (FR), Hôpital Robert-Debré (FR), Olivia Newton-John Cancer Wellness & Research Centre (AU), Université de Reims Champagne-Ardenne (FR)
Openalex Percentile: Top 10%
Lymphoma Diagnosis and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.