End of induction [

FOLL12 trial Follicular lymphoma Prognosis Therapy response [18F]FDG PET/CT

Journal

European journal of nuclear medicine and molecular imaging
ISSN: 1619-7089
Titre abrégé: Eur J Nucl Med Mol Imaging
Pays: Germany
ID NLM: 101140988

Informations de publication

Date de publication:
25 May 2024
Historique:
received: 27 12 2023
accepted: 12 05 2024
medline: 25 5 2024
pubmed: 25 5 2024
entrez: 25 5 2024
Statut: aheadofprint

Résumé

To evaluate the reliability of the Deauville score (DS) in therapy response assessment and to define the prognostic value of the metabolic response of end of induction (EOI) [ Adult patients with untreated grade 1-3a FL/ stage II-IV enrolled in the multicentre, prospective, phase III FOLL12 trial (NCT02063685) were randomized to receive standard immunochemotherapy followed by rituximab maintenance (standard arm) versus standard immunochemotherapy followed by response-adapted post-induction management (experimental arm). Baseline and EOI PET were mandatory for the study. All PET scans were centralized on the WIDEN® platform and classified according to DS in a blind independent central review. DS1-3 was considered negative (CMR), whereas DS4-5 was considered positive (not CMR). The primary endpoint was PFS. The main secondary endpoint was overall survival (OS). Overall, 807 follicular lymphoma patients-52% women, 89% stage III-IV disease, 40% with a high-risk FLIPI-2 score (3-5)-were enrolled in the study; 729 (90.4%) baseline and EOI PET were available for the analysis. EOI PET was positive (DS4-5) in 88/729 (12.1%) cases. Overall inter-reviewer agreement on PET pos/neg result was 0.92, while agreement on positive and negative cases was 0.77 and 0.94, respectively. The median follow-up was 69 months; 247 events were registered in the 5-yr follow-up, with a 5-yr PFS of 67% (95%CI: 63%-70%). The 5-yr PFS rate for PET neg (DS1-3) and PET pos (DS4-5) patients was 71% (95%CI: 67%-75%) and 36% (95%CI: 25%-46%), respectively, with HR 3.49 (95%CI: 2.57-4.72). Five-year PFS was worse as DS increased, with 74% (70%-78%), 58% (48%-67%; HR 1.71; p = 0.001)] and 36% (25%-46%; HR 3.88; p < 0.001) in DS1-2, DS3 and DS4-5, respectively. EOI PET maintained its prognostic value in both the standard and experimental arms. In the whole population, 5-yr OS was 94% (95%CI: 92%-96%), with 96% (95%CI: 94-97) and 82% (95%CI: 72%-89%) in EOI PET negative (DS1-3) and positive (DS4-5), respectively (HR 4.48; p < 0.001). When DS was associated with FLIPI-2, patients with DS3 or DS1-2 with high FLIPI-2 (3-5) experienced worse OS than patients with DS1-2 and low FLIPI-2 (1-2) (p = 0.003). This study shows that DS is a reliable prognostic tool to evaluate EOI PET in follicular lymphoma patients, with prognostic value maintained both in the standard and experimental arms, making metabolic imaging a robust tool to assess response in FL. Moreover, although preliminary, this study provides further information on DS3 patients, who are considered as CMR but show a less favourable PFS than DS1-2 patients.

Identifiants

pubmed: 38795120
doi: 10.1007/s00259-024-06765-z
pii: 10.1007/s00259-024-06765-z
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : Ministero della Salute
ID : Bando Progetti di Ricerca Giovani Ricercatori-Ricerca Finalizzata 2011-2012

Informations de copyright

© 2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Références

Freedman A. Follicular lymphoma: 2012 update on diagnosis and management. Am J Hematol. 2012;87:988–95.
doi: 10.1002/ajh.23313 pubmed: 23001911
Marcus R, Imrie K, Solal-Celigny P, Catalano JV, Dmoszynska A, Raposo JC, et al. Phase III study of R-CVP compared with cyclophosphamide, vincristine, and prednisone alone in patients with previously untreated advanced follicular lymphoma. J Clin Oncol. 2008;26:4579–86.
doi: 10.1200/JCO.2007.13.5376 pubmed: 18662969
Salles G, Seymour JF, Offner F, López-Guillermo A, Belada D, Xerri L, 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. 2011;377:42–51.
doi: 10.1016/S0140-6736(10)62175-7 pubmed: 21176949
Salles G, Mounier N, de Guibert S, Morschhauser F, Doyen C, Rossi J-F, et al. Rituximab combined with chemotherapy and interferon in follicular lymphoma patients: results of the GELA-GOELAMS FL2000 study. Blood. 2008;112:4824–31.
doi: 10.1182/blood-2008-04-153189 pubmed: 18799723
Casulo C, Nastoupil L, Fowler NH, Friedberg JW, Flowers CR. Unmet needs in the first-line treatment of follicular lymphoma. Ann Oncol. 2017;28:2094–106.
doi: 10.1093/annonc/mdx189 pubmed: 28430865 pmcid: 5834060
Federico M, Vitolo U, Zinzani PL, Chisesi T, Clò V, Bellesi G, et al. Prognosis of follicular lymphoma: a predictive model based on a retrospective analysis of 987 cases. Intergruppo Italiano Linfomi Blood. 2000;95:783–9.
pubmed: 10648386
Ladetto M, De Marco F, Benedetti F, Vitolo U, Patti C, Rambaldi A, et al. Prospective, multicenter randomized GITMO/IIL trial comparing intensive (R-HDS) versus conventional (CHOP-R) chemoimmunotherapy in high-risk follicular lymphoma at diagnosis: the superior disease control of R-HDS does not translate into an overall survival advantage. Blood. 2008;111:4004–13.
doi: 10.1182/blood-2007-10-116749 pubmed: 18239086
Trotman J, Fournier M, Lamy T, Seymour JF, Sonet A, Janikova A, et al. Positron emission tomography-computed tomography (PET-CT) after induction therapy is highly predictive of patient outcome in follicular lymphoma: analysis of PET-CT in a subset of PRIMA trial participants. J Clin Oncol. 2011;29:3194–200.
doi: 10.1200/JCO.2011.35.0736 pubmed: 21747087
Cheson BD, Fisher RI, Barrington SF, Cavalli F, Schwartz LH, Zucca E, et al. Recommendations for initial evaluation, staging, and response assessment of Hodgkin and non-Hodgkin lymphoma: the Lugano classification. J Clin Oncol. 2014;32:3059–68.
doi: 10.1200/JCO.2013.54.8800 pubmed: 25113753 pmcid: 4979083
Luminari S, Biasoli I, Versari A, Rattotti S, Bottelli C, Rusconi C, et al. The prognostic role of post-induction FDG-PET in patients with follicular lymphoma: a subset analysis from the FOLL05 trial of the Fondazione Italiana Linfomi (FIL). Ann Oncol. 2014;25:442–7.
doi: 10.1093/annonc/mdt562 pubmed: 24412823
Trotman J, Barrington SF, Belada D, Meignan M, MacEwan R, Owen C, et al. Prognostic value of end-of-induction PET response after first-line immunochemotherapy for follicular lymphoma (GALLIUM): secondary analysis of a randomised, phase 3 trial. Lancet Oncol. 2018;19:1530–42.
doi: 10.1016/S1470-2045(18)30618-1 pubmed: 30309758
Trotman J, Luminari S, Boussetta S, Versari A, Dupuis J, Tychyj C, et al. Prognostic value of PET-CT after first-line therapy in patients with follicular lymphoma: a pooled analysis of central scan review in three multicentre studies. Lancet Haematol. 2014;1:e17-27.
doi: 10.1016/S2352-3026(14)70008-0 pubmed: 27030064
Luminari S, Manni M, Galimberti S, Versari A, Tucci A, Boccomini C, et al. Response-adapted postinduction strategy in patients with advanced-stage follicular lymphoma: the FOLL12 study. J Clin Oncol. 2021;40:729–39.
doi: 10.1200/JCO.21.01234 pubmed: 34709880
Barrington SF, Mikhaeel NG, Kostakoglu L, Meignan M, Hutchings M, Müeller SP, et al. Role of imaging in the staging and response assessment of lymphoma: consensus of the International Conference on Malignant Lymphomas Imaging Working Group. J Clin Oncol. 2014;32:3048–58.
doi: 10.1200/JCO.2013.53.5229 pubmed: 25113771 pmcid: 5015423
Meignan M, Gallamini A, Haioun C, Polliack A. Report on the Second International Workshop on interim positron emission tomography in lymphoma held in Menton, France, 8–9 April 2010. Leuk Lymphoma. 2010;51:2171–80.
doi: 10.3109/10428194.2010.529208 pubmed: 21077737
Swerdlow SH, Campo E, Pileri SA, Harris NL, Stein H, Siebert R, et al. The 2016 revision of the World Health Organization classification of lymphoid neoplasms. Blood. 2016;127:2375–90.
doi: 10.1182/blood-2016-01-643569 pubmed: 26980727 pmcid: 4874220
Chauvie S, Bergesio F. The strategies to homogenize PET/CT metrics: the case of onco-haematological clinical trials. Biomedicines. 2016;15;4(4):26.
Cohen J. A coefficient of agreement for nominal scales. Educ Psychol Meas. 1960;20:37–46.
doi: 10.1177/001316446002000104
Hayes AF, Krippendorff K. Answering the call for a standard reliability measure for coding data. Commun Methods Meas. 2007;1:77–89.
doi: 10.1080/19312450709336664
Cheson BD, Pfistner B, Juweid ME, Gascoyne RD, Specht L, Horning SJ, et al. Revised response criteria for malignant lymphoma. J Clin Oncol. 2007;25:579–86.
doi: 10.1200/JCO.2006.09.2403 pubmed: 17242396
Aalen O. Nonparametric inference for a family of counting processes. Ann Stat. 1978;6:701–26.
doi: 10.1214/aos/1176344247
Dupuis J, Berriolo-Riedinger A, Julian A, Brice P, Tychyj-Pinel C, Tilly H, et al. Impact of [(18)F]fluorodeoxyglucose positron emission tomography response evaluation in patients with high-tumor burden follicular lymphoma treated with immunochemotherapy: a prospective study from the Groupe d’Etudes des Lymphomes de l’Adulte and GOELAMS. J Clin Oncol. 2012;30:4317–22.
doi: 10.1200/JCO.2012.43.0934 pubmed: 23109699
Nizzoli ME, Manni M, Ghiggi C, Pulsoni A, Musuraca G, Merli M, et al. Impact of immunochemotherapy with R-bendamustine or R-CHOP for treatment naïve advanced-stage follicular lymphoma: A subset analysis of the FOLL12 trial by Fondazione Italiana Linfomi. Hematol Oncol. 2023;41:655–62.
doi: 10.1002/hon.3184 pubmed: 37246287
Casulo C, Dixon JG, Le-Rademacher J, Hoster E, Hochster HS, Hiddemann W, 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. 2022;139:1684–93.
doi: 10.1182/blood.2020010263 pubmed: 34614146
Federico M, Caballero Barrigón MD, Marcheselli L, Tarantino V, Manni M, Sarkozy C, et al. Rituximab and the risk of transformation of follicular lymphoma: a retrospective pooled analysis. Lancet Haematol. 2018;5:e359–67.
doi: 10.1016/S2352-3026(18)30090-5 pubmed: 30078408
Noy A, Schöder H, Gönen M, Weissler M, Ertelt K, Cohler C, et al. The majority of transformed lymphomas have high standardized uptake values (SUVs) on positron emission tomography (PET) scanning similar to diffuse large B-cell lymphoma (DLBCL). Ann Oncol. 2009;20:508–12.
doi: 10.1093/annonc/mdn657 pubmed: 19139176 pmcid: 4542578
Wondergem MJ, Rizvi SNF, Jauw Y, Hoekstra OS, Hoetjes N, van de Ven PM, et al. 18F-FDG or 3’-deoxy-3’-18F-fluorothymidine to detect transformation of follicular lymphoma. J Nucl Med. 2015;56:216–21.
doi: 10.2967/jnumed.114.149625 pubmed: 25593118
Karam M, Feustel PJ, Vera CD, Nazeer T. Features of large cell transformation of indolent lymphomas as observed on sequential PET/CT. Nucl Med Commun. 2011;32:177–85.
doi: 10.1097/MNM.0b013e328342b9d2 pubmed: 21169873
Mir F, Barrington SF, Brown H, Nielsen T, Sahin D, Meignan M, et al. Baseline SUVmax did not predict histological transformation in follicular lymphoma in the phase 3 GALLIUM study. Blood. 2020;135:1214–8.
doi: 10.1182/blood.2019001091 pubmed: 31961926 pmcid: 7146018
Alonso-Álvarez S, Manni M, Montoto S, Sarkozy C, Morschhauser F, Wondergem MJ, et al. Primary refractory follicular lymphoma: a poor outcome entity with high risk of transformation to aggressive B cell lymphoma. Eur J Cancer. 2021;157:132–9.
doi: 10.1016/j.ejca.2021.08.005 pubmed: 34508995
Cottereau AS, Rebaud L, Trotman J, Feugier P, Nastoupil LJ, Bachy E, Flinn IW, Haioun C, Ysebaert L, Bartlett NL, Tilly H, Casasnovas O, Ricci R, Portugues C, Buvat I, Meignan M, Morschhauser F. Metabolic tumor volume predicts outcome in patients with advanced stage follicular lymphoma from the RELEVANCE trial. Ann Oncol. 2024;35:130–7.
doi: 10.1016/j.annonc.2023.10.121 pubmed: 37898239
Meignan M, Cottereau AS, Versari A, Chartier L, Dupuis J, Boussetta S, et al. Baseline Metabolic Tumor Volume Predicts Outcome in High–Tumor-Burden Follicular Lymphoma: A Pooled Analysis of Three Multicenter Studies. J Clin Oncol. 2016;34:3618–26.
doi: 10.1200/JCO.2016.66.9440 pubmed: 27551111

Auteurs

Luca Guerra (L)

Nuclear Medicine, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy. luca.guerra@unimib.it.
University of Milano Bicocca, Milan, Italy. luca.guerra@unimib.it.

Stephane Chauvie (S)

Medical Physics, Ospedale Santa Croce E Carle, Cuneo, Italy.

Federico Fallanca (F)

Nuclear Medicine, IRCCS Ospedale San Raffaele, Milan, Italy.

Fabrizio Bergesio (F)

Medical Physics, Ospedale Santa Croce E Carle, Cuneo, Italy.

Luigi Marcheselli (L)

Fondazione Italiana Linfomi, Modena, Italy.

Rexhep Durmo (R)

Nuclear Medicine, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Simona Peano (S)

Nuclear Medicine Azienda Ospedaliera S. Croce E Carle, Cuneo, Italy.

Antonella Franceschetto (A)

Nuclear Medicine, Azienda Ospedaliero-Universitaria Di Modena, Modena, Italy.

Lavinia Monaco (L)

Nuclear Medicine, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy.

Emiliano Barbieri (E)

Clinical and Experimental Medicine PhD Program, University of Modena E Reggio Emilia, Modena, Italy.

Marco Ladetto (M)

Hematology Unit, Azienda Ospedaliera Di Alessandria, Alessandria, Italy.

Gerardo Musuraca (G)

Hematology and HSC Transplantation, IRCCS Istituto Romagnolo Per Lo Studio Dei Tumori Dino Amadori, Meldola, Italy.

Patrizia Tosi (P)

Hematology Unit, AUSL Della Romagna, Rimini, Italy.

Benedetta Bianchi (B)

Hematology Unit, Ospedale Di Circolo E Fondazione Macchi ASST Sette Laghi, Varese, Italy.

Silvia Anna Maria Bolis (SAM)

Hematology Unit, Fondazione IRCCS San Gerardo Dei Tintori, Monza, Italy.

Vincenzo Pavone (V)

Hematology and Bone Marrow Transplantation, Ospedale C. Panico, Tricase, Italy.

Annalisa Chiarenza (A)

Hematology and Bone Marrow Transplantation, AOU Policlinico S. Marco, Catania, Italy.

Annalisa Arcari (A)

Hematology Unit, Ospedale Guglielmo da Saliceto, Piacenza, Italy.

Catello Califano (C)

Hematology Unit, Ospedale Andrea Tortora, Pagani, Italy.

Alessia Bari (A)

Oncology Unit, Azienda Ospedaliero-Universitaria Policlinico, Modena, University of Modena and Reggio Emilia, Modena, Italy.

Massimo Massaia (M)

Hematology Unit, Ospedale Santa Croce E Carle, Cuneo, Italy.

Annarita Conconi (A)

Hematology Unit, Ospedale Degli Infermi, Biella, Italy.

Pellegrino Musto (P)

Hematology and Stem Cells Transplantation, IRCCS CROB, Rionero in Vulture, Italy.

Donato Mannina (D)

Hematology Unit, Azienda Ospedaliera Papardo, Messina, Italy.

Giovanni Roti (G)

Hematology Unit, Azienda Ospedaliero-Universitaria Di Parma, Parma, Italy.

Sara Galimberti (S)

Hematology Unit, Azienda Ospedaliero-Universitaria Pisana, Pisa, Italy.

Guido Gini (G)

Hematology Unit, Azienda Ospedaliero-Universitaria Delle Marche, Ancona, Italy.

Flavio Falcinelli (F)

Hematology and Bone Marrow Transplantation, Azienda Ospedaliera Di Perugia, Perugia, Italy.

Umberto Vitolo (U)

Hematology Unit, Candiolo Cancer Institute, FPO-IRCCS, Candiolo, Italy.

Sara Veronica Usai (SV)

Hematology and Bone Marrow Transplantation, Ospedale Brotzu, Cagliari, Italy.

Piero Maria Stefani (PM)

Hematology Unit, General Hospital Ca' Foncello, Treviso, Italy.

Adalberto Ibatici (A)

Ematologia E Terapie Cellulari, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.

Anna Marina Liberati (AM)

Università Degli Studi Di Perugia, A.O. Terni, Terni, Italy.

Elsa Pennese (E)

Hematology Unit, ASL Pescara, Pescara, Italy.

Tommasina Perrone (T)

Hematology and Stem Cells Transplantation, AOUC Policlinico, Bari, Italy.

Annibale Versari (A)

Nuclear Medicine, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.

Stefano Luminari (S)

Hematology Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy.
Department Chimomo, Università Di Modena and Reggio Emilia, Modena, Italy.

Classifications MeSH