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Epperla N, Vaughn JL, Othus M, Hallack A, Costa LJ. Recent survival trends in diffuse large B-cell lymphoma--Have we made any progress beyond rituximab? Cancer Med 2020; 9:5519-5525. [PMID: 32558356 PMCID: PMC7402846 DOI: 10.1002/cam4.3237] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2019] [Revised: 05/25/2020] [Accepted: 05/27/2020] [Indexed: 12/22/2022] Open
Abstract
Background Population‐based studies previously showed an improvement in overall survival (OS) for patients with diffuse large B‐cell lymphoma (DLBCL) who received chemoimmunotherapy with rituximab. However, there is limited data (especially at the population level) that show a similar trend in OS improvement, in the most recent time period. We hypothesized that survival for DLBCL patients diagnosed in the United States has continued to improve in recent years and intended to measure outcome improvements. Methods Using the SEER‐18 registries, we compared the incidence and relative survival rates (RSRs) of DLBCL patients between 2002‐2007 and 2008‐2013 (availability of novel agents, broader use of autologous hematopoietic cell transplantation and improvement in supportive care). Multivariable Cox regression models were used to assess associations between the year of diagnosis and OS while controlling for age, gender, stage, and ethnicity. Results There were a total of 53 439 patients with DLBCL who were diagnosed between 2002 and 2013. Of these, 25 810 were diagnosed during time period‐1 and 27 629 diagnosed during time period‐2. There was a slight decline in incidence of DLBCL (time period‐1 vs time period‐2), 7.75 (95% CI = 7.66‐7.84) vs 7.43 (95% CI = 7.34‐7.52) cases per 100 000 persons, respectively (P < .0001). Overall, there was a modest improvement in DLBCL RSRs, with 5‐year RSR improving from 61% (time period‐1) to 64% (time period‐2) and the improvement was noted across all subsets of patients. On multivariable analysis, patients diagnosed in time period‐2 had lower mortality relative to time period‐1 (HR = 0.87, 95% CI = 0.85‐0.89). Conclusions Our study shows an improvement in the outcomes of DLBCL patients beyond the introduction of rituximab, although the magnitude of improvement is small. It will be interesting to see the impact of chimeric antigen receptor‐T cell therapy translating to population‐level survival in the next 5 years.
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Affiliation(s)
| | - John L Vaughn
- Division of Hematology and Medical Oncology, Weill Cornell Medicine, New York, NY, USA
| | - Megan Othus
- Department of Biostatistics, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Abrahao Hallack
- Division of Hematology and Bone Marrow Transplantation, Universidade Federal de Juiz de Fora, BR, USA
| | - Luciano J Costa
- Division of Hematology and Oncology, Department of Medicine, University of Alabama at Birmingham, Birmingham, AL, USA
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Mounier M, Bossard N, Remontet L, Belot A, Minicozzi P, De Angelis R, Capocaccia R, Iwaz J, Monnereau A, Troussard X, Sant M, Maynadié M, Giorgi R. Changes in dynamics of excess mortality rates and net survival after diagnosis of follicular lymphoma or diffuse large B-cell lymphoma: comparison between European population-based data (EUROCARE-5). Lancet Haematol 2015; 2:e481-91. [PMID: 26686258 DOI: 10.1016/s2352-3026(15)00155-6] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2015] [Revised: 08/14/2015] [Accepted: 08/17/2015] [Indexed: 12/23/2022]
Abstract
BACKGROUND Since 2001, the World Health Organization classification of tumours of haematopoietic and lymphoid tissues and the International Classification of Diseases for Oncology (third edition) have improved data collection for lymphoma subtypes in most European cancer registries and allowed reporting on the major non-Hodgkin lymphoma subtypes. Treatment of non-Hodgkin lymphoma has changed profoundly, benefiting patients with follicular lymphoma or diffuse large B-cell lymphoma. We aimed to compare dynamics of cancer mortality in patients with follicular lymphoma or diffuse large B-cell lymphoma in five large European areas using data for survival from the largest number of collaborative European population-based cancer registries (EUROCARE). METHODS We considered follicular lymphoma and diffuse large B-cell lymphoma cases in patients aged older than 15 years diagnosed between Jan 1, 1996, and Dec 31, 2004, and recorded in 43 cancer registries in five areas: Scotland and Wales, and northern, central, eastern, and southern Europe. We excluded cases incidentally diagnosed at autopsy or known from death certificates only. The vital status could be updated on Dec 31, 2008, in all registries but the French ones (Dec 31, 2007). We obtained changes in net survival with the Pohar-Perme estimator and excess mortality rate with a flexible parametric model according to age and year of diagnosis. FINDINGS We identified 13,988 follicular lymphoma and 25,320 diffuse large B-cell lymphoma cases. We noted improvements in 5-year net survival for all ages between the 1999-2001 and 2002-04 periods for both cancers (except for follicular lymphoma in Scotland and Wales and diffuse large B-cell lymphoma in eastern Europe). For follicular lymphoma, 5-year net survival in northern Europe was 64% (95% CI 58-71) in 1999-2001 versus 75% (69-80) for 2002-04, for Scotland and Wales, it was 71% (66-76) versus 68% (64-72), for central Europe, it was 64% (61-67) versus 72% (70-75), for southern Europe, it was 67% (63-70) versus 73% (70-76), and for eastern Europe, it was 50% (43-57) versus 61% (54-69). For diffuse large B-cell lymphoma, 5-year net survival in northern Europe was 41% (35-49) versus 58% (54-62), in Scotland and Wales, it was 44% (41-48) versus 52% (49-54), in central Europe, it was 46% (44-47) versus 50% (48-51), in southern Europe, it was 44% (42-47) versus 50% (48-52), and in eastern Europe, it was 47% (41-54) versus 46% (43-50). We noted the largest area disparity during the 2002-04 period between eastern and northern Europe. We noted a significant effect of the year of diagnosis on the excess mortality rate for all ages in all areas, except for diffuse large B-cell lymphoma in eastern Europe. The excess mortality rate was not constant during the follow-up period: we noted a high rate early for both lymphomas, except for follicular lymphoma in northern Europe. INTERPRETATION Although survival for follicular lymphoma and diffuse large B-cell lymphoma is improving, the results from this study should foster the search for more and better means of improvement of access to adequate care than that at present, as there remains variation in survival between European regions. Study of the dynamics of the excess mortality rate seems to be a useful clinical indicator to help the practitioner's choice of optimum management of patients. FUNDING Compagnia di San Paolo, Fondazione Cariplo Italy, Italian Ministry of Health, European Commission, Registre des Hémopathies Malignes de Côte d'Or, and French Agence Nationale de la Recherche.
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Affiliation(s)
- Morgane Mounier
- Registre des Hémopathies Malignes de Côte d'Or, Université de Bourgogne Franche-Comté, Dijon, France; Université de Lyon, Lyon, France; Université Lyon 1, Villeurbanne, France; Centre national de la recherche scientifique unités mixtes de recherche 5558, Laboratoire de Biométrie et Biologie Evolutive, Equipe Biostatistique Santé, Villeurbanne, France; Institut national de la santé et de la recherche médicale unités mixtes de recherche S 912 Sciences Economiques et Sociales de la Santé et Traitement de l'Information Médicale, Faculté de Médecine, Marseille, France; Aix Marseille Université unités mixtes de recherche S 912 Institut de recherche pour le développement, Marseille, France
| | - Nadine Bossard
- Université de Lyon, Lyon, France; Université Lyon 1, Villeurbanne, France; Centre national de la recherche scientifique unités mixtes de recherche 5558, Laboratoire de Biométrie et Biologie Evolutive, Equipe Biostatistique Santé, Villeurbanne, France; Service de Biostatistique, Hospices Civils de Lyon, Lyon, France
| | - Laurent Remontet
- Université de Lyon, Lyon, France; Université Lyon 1, Villeurbanne, France; Centre national de la recherche scientifique unités mixtes de recherche 5558, Laboratoire de Biométrie et Biologie Evolutive, Equipe Biostatistique Santé, Villeurbanne, France; Service de Biostatistique, Hospices Civils de Lyon, Lyon, France
| | - Aurélien Belot
- Cancer Research UK Cancer Survival Group, Department of Non-Communicable Disease Epidemiology, Faculty of Epidemiology and Population Health, London School of Hygiene & Tropical Medicine, London, UK
| | - Pamela Minicozzi
- Analytical Epidemiology and Health Impact Unit, Department of Preventive and Predictive Medicine, Fondazione Istituto Di Ricovero e Cura a Carattere Scientifico, Istituto Nazionale dei Tumori, Milan, Italy
| | - Roberta De Angelis
- Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute, Istituto Superiore di Sanità, Roma, Italy
| | - Riccardo Capocaccia
- Centro Nazionale di Epidemiologia, Sorveglianza e Promozione della Salute, Istituto Superiore di Sanità, Roma, Italy
| | - Jean Iwaz
- Université de Lyon, Lyon, France; Université Lyon 1, Villeurbanne, France; Centre national de la recherche scientifique unités mixtes de recherche 5558, Laboratoire de Biométrie et Biologie Evolutive, Equipe Biostatistique Santé, Villeurbanne, France; Service de Biostatistique, Hospices Civils de Lyon, Lyon, France
| | - Alain Monnereau
- Registre des hémopathies malignes de la Gironde, Institut Bergonié, Bordeaux, France; Centre Institut national de la santé et de la recherche médicale U897, Centre d'Investigation Clinique 1401, Bordeaux, France
| | - Xavier Troussard
- Registre régional des hémopathies malignes de la Basse Normandie, Centre Hospitalier Universitaire de Caen, Caen, France
| | - Milena Sant
- Analytical Epidemiology and Health Impact Unit, Department of Preventive and Predictive Medicine, Fondazione Istituto Di Ricovero e Cura a Carattere Scientifico, Istituto Nazionale dei Tumori, Milan, Italy
| | - Marc Maynadié
- Registre des Hémopathies Malignes de Côte d'Or, Université de Bourgogne Franche-Comté, Dijon, France; Service d'Hématologie Biologique, Centre Hospitalier Universitaire de Dijon, Dijon, France
| | - Roch Giorgi
- Institut national de la santé et de la recherche médicale unités mixtes de recherche S 912 Sciences Economiques et Sociales de la Santé et Traitement de l'Information Médicale, Faculté de Médecine, Marseille, France; Aix Marseille Université unités mixtes de recherche S 912 Institut de recherche pour le développement, Marseille, France.
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