LTB ‐ TREAT : A validated international prognostic model for time to treatment in low tumour burden follicular lymphoma
Year: 2026
Type: article
Study design: Observational Study
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.
Source: British Journal of Haematology
DOI: 10.1111/bjh.70748
Authors: Luani Barge, Lachlan Webb, Anita Pelecanos, Niamh Waters, Ross Salvaris, Sam Lai, Tessa Potezny, Helen Cashman, Caitlyn Nguyen‐Ngo, Denise Lee, Costas K. Yannakou, Nada Hamad, Adrien Chauchet, Sylvain Choquet, Cédric Rossi, Adélie Herbin, Lukshe Kanagaratnam, Cyrielle Rodier, Constantine S. Tam, Abir Bhattacharyya, Chan Y. Cheah, Eliza A. Hawkes, Kirk Morris, Eric Durot, Joshua Tobin, Greg Hapgood
Institutions: The University of Queensland, Princess Alexandra Hospital, QIMR Berghofer Medical Research Institute, Austin Hospital, Olivia Newton-John Cancer Research Institute, Sir Charles Gairdner Hospital, Westmead Hospital, The Alfred Hospital, St Vincent's Hospital Sydney, Epworth Hospital, Box Hill Hospital, Centre Hospitalier Universitaire de Besançon, Assistance Publique – Hôpitaux de Paris, Pitié-Salpêtrière Hospital, CHU Dijon Bourgogne, Université Bourgogne Europe, Centre Hospitalier Universitaire de Reims, Hôpital Robert-Debré, Royal Brisbane and Women's Hospital
Language: English
Subfield: Pathology and Forensic Medicine
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $5,190
OpenAlex ID: W7204479702