Literature DB >> 29559480

Prognostic model for high-tumor-burden follicular lymphoma integrating baseline and end-induction PET: a LYSA/FIL study.

Anne Ségolène Cottereau1, Annibale Versari2, Stefano Luminari3,4, Jehan Dupuis5, Loïc Chartier6, René-Olivier Casasnovas7, Alina Berriolo-Riedinger8, Massimo Menga2, Corinne Haioun4, Hervé Tilly8,9, Vittoria Tarantino4, Massimo Federico4, Gilles Salles10, Judith Trotman11, Michel Meignan12.   

Abstract

Both total metabolic tumor volume (TMTV), computed on baseline positron emission tomography (PET), and end of induction (EOI) PET are imaging biomarkers showing promise for early risk stratification in patients with high-tumor-burden follicular lymphoma. A model was built incorporating these 2 factors in 159 patients from three prospective trials: 2 Lymphoma Study Association (LYSA) studies and 1 Fondazione Italiana Linfomi (FIL) trial. Median follow up was 64 months. High TMTV (>510 cm3) and positive EOI PET were independent, significant risk factors for progression. Their combination stratified the population into 3 risk groups: patients with no risk factors (n = 102; 64%) had a 5-year progression-free survival (PFS) of 67% vs 33% (hazard ratio [HR], 2.9; 95% confidence interval [CI], 1.8-4.9) for patients with 1 risk factor (n = 44; 27%) and only 23% (HR, 4.6; 95% CI, 2.3-9.2) for patients with both risk factors (n = 13; 8%). 2-year PFS was respectively 90% vs 61% (HR, 4.8; 95% CI, 2.2-10.4) and 46% (HR, 8.1; 95%CI, 3.1-21.3). This model enhances the prognostic value of PET staging and response assessment, identifying a subset of patients with a very high risk of progression and early treatment failure at 2 years.
© 2018 by The American Society of Hematology.

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Year:  2018        PMID: 29559480     DOI: 10.1182/blood-2017-11-816298

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   22.113


  19 in total

1.  Tumor fragmentation estimated by volume surface ratio of tumors measured on 18F-FDG PET/CT is an independent prognostic factor of diffuse large B-cell lymphoma.

Authors:  Pierre Decazes; Stéphanie Becker; Mathieu Nessim Toledano; Pierre Vera; Paul Desbordes; Fabrice Jardin; Hervé Tilly; Isabelle Gardin
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-04-28       Impact factor: 9.236

2.  Time to Prepare for Risk Adaptation in Lymphoma by Standardizing Measurement of Metabolic Tumor Burden.

Authors:  Sally F Barrington; Michel Meignan
Journal:  J Nucl Med       Date:  2019-04-06       Impact factor: 10.057

Review 3.  Follicular lymphoma: is there an optimal way to define risk?

Authors:  Carla Casulo
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2021-12-10

Review 4.  Current Role of Functional Imaging in the Management of Lymphoma.

Authors:  Bruce D Cheson; Michel Meignan
Journal:  Curr Oncol Rep       Date:  2021-11-04       Impact factor: 5.075

5.  Improving the prognostic ability of PET/CT SUVmax to identify follicular lymphoma with early treatment failure.

Authors:  Xin Wan; Wei Guo; Xingtong Wang; Jia Li; Yangzhi Zhao; Xiaomeng Feng; Ken H Young; Ou Bai
Journal:  Am J Cancer Res       Date:  2022-08-15       Impact factor: 5.942

Review 6.  Risk factors for POD24 in patients with previously untreated follicular lymphoma: a systematic review and meta-analysis.

Authors:  Fenghua Gao; Tingting Zhang; Hengqi Liu; Wei Li; Xianming Liu; Lihua Qiu; Lanfang Li; Shiyong Zhou; Zhengzi Qian; Sitong Dong; Sai Zhao; Xianhuo Wang; Huilai Zhang
Journal:  Ann Hematol       Date:  2022-08-27       Impact factor: 4.030

7.  High total metabolic tumor volume at baseline predicts survival independent of response to therapy.

Authors:  Laetitia Vercellino; Anne-Segolene Cottereau; Olivier Casasnovas; Hervé Tilly; Pierre Feugier; Loic Chartier; Christophe Fruchart; Louise Roulin; Lucie Oberic; Gian Matteo Pica; Vincent Ribrag; Julie Abraham; Marc Simon; Hugo Gonzalez; Reda Bouabdallah; Olivier Fitoussi; Catherine Sebban; Armando López-Guillermo; Laurence Sanhes; Franck Morschhauser; Judith Trotman; Bernadette Corront; Bachra Choufi; Sylvia Snauwaert; Pascal Godmer; Josette Briere; Gilles Salles; Philippe Gaulard; Michel Meignan; Catherine Thieblemont
Journal:  Blood       Date:  2020-04-16       Impact factor: 22.113

Review 8.  Novel treatment approaches and future perspectives in follicular lymphoma.

Authors:  Grerk Sutamtewagul; Brian K Link
Journal:  Ther Adv Hematol       Date:  2019-01-11

Review 9.  Recent advances in the first-line treatment of follicular non-Hodgkin lymphoma.

Authors:  Pierre Feugier; Lauriane Filliatre-Clement
Journal:  F1000Res       Date:  2019-03-15

10.  Prognostic value of baseline metabolic tumor volume in children and adolescents with intermediate-risk Hodgkin lymphoma treated with chemo-radiation therapy: FDG-PET parameter analysis in a subgroup from COG AHOD0031.

Authors:  Sarah A Milgrom; Jihyun Kim; Alin Chirindel; Jongho Kim; Qinglin Pei; Lu Chen; Allen Buxton; Sandy Kessel; Jeffrey Leal; Kathleen M McCarten; Bradford S Hoppe; Suzanne L Wolden; Cindy L Schwartz; Debra L Friedman; Kara M Kelly; Steve Y Cho
Journal:  Pediatr Blood Cancer       Date:  2021-07-10       Impact factor: 3.838

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