Conventional chemotherapy (CHOEP-14) with rituximab or high-dose chemotherapy (MegaCHOEP) with rituximab for young, high-risk patients with aggressive B-cell lymphoma: an open-label, randomised, phase 3 trial (DSHNHL 2002-1).

Summary:

High-dose therapy (HDT) followed by transplantation of autologous haemopoietic stem cells is frequently done as part of first-line therapy in young patients with high-risk aggressive B-cell lymphoma. We investigated whether HDT with cytotoxic agents identical to those used for conventional therapy followed by autologous stem-cell transplantation (ASCT) improved survival outcome compared with conventional chemotherapy when rituximab was added to both modalities.

Abstract:

BACKGROUND: High-dose therapy (HDT) followed by transplantation of autologous haemopoietic stem cells is frequently done as part of first-line therapy in young patients with high-risk aggressive B-cell lymphoma. We investigated whether HDT with cytotoxic agents identical to those used for conventional therapy followed by autologous stem-cell transplantation (ASCT) improved survival outcome compared with conventional chemotherapy when rituximab was added to both modalities. METHODS: We did an open-label, randomised trial comparing conventional chemotherapy (cyclophosphamide, doxorubicin, vincristine, etoposide, prednisone) and rituximab (R-CHOEP-14) with dose-escalated sequential HDT and rituximab (R-MegaCHOEP) followed by repetitive ASCT in high-risk (age-adjusted International Prognostic Index [IPI] 2 or 3) patients aged 18-60 years with aggressive B-cell lymphoma. Eligible patients received radiotherapy for bulky, extranodal disease, or both. Randomisation (1:1) used the Pocock minimisation algorithm; patients were stratified by age-adjusted IPI factors, bulky disease, and centre. The primary endpoint was event-free survival. All analyses were done on the intention-to-treat population. This trial is registered with ClinicalTrials.gov, number NCT00129090. FINDINGS: 136 patients were randomly assigned to R-CHOEP-14 and 139 to R-MegaCHOEP. 130 patients in the R-CHOEP-14 group and 132 in the R-MegaCHOEP group were included in the intention-to-treat population. After a median of 42 months (IQR 29-59), 3-year event-free survival was 69.5% (95% CI 61.3-77.7) in the R-CHOEP-14 group and 61.4% (52.8-70.0) in the R-MegaCHOEP group (p=0.14; hazard ratio 1.3, 95% CI 0.9-2.0). All 128 evaluable patients treated with R-MegaCHOEP had grade 4 leucopenia, as did 48 (58.5%) of 82 patients with documented blood counts in the R-CHOEP-14 group. All 128 evaluable patients in the R-MegaCHOEP group had grade 3-4 thrombocytopenia, as did 26 (33.8%) of 77 patients in the R-CHOEP-14 group with documented blood counts. The most important non-haematological grade 3 or 4 adverse event was infection, which occurred in 96 (75.0%) of 128 patients treated with R-MegaCHOEP and in 40 (31.3%) of 128 patients treated with R-CHOEP-14. INTERPRETATION: In young patients with high-risk aggressive B-cell lymphoma, R-MegaCHOEP was not superior to conventional R-CHOEP therapy and was associated with significantly more toxic effects. R-CHOEP-14 with or without radiotherapy remains a treatment option for these patients, with encouraging efficacy. FUNDING: Deutsche Krebshilfe.

PubMed ID: 23168367

Projects: GLA - German Lymphoma Alliance

Publication type: Not specified

Journal: Lancet Oncol

Human Diseases: Non-hodgkin lymphoma

Citation: Lancet Oncol. 2012 Dec;13(12):1250-9. doi: 10.1016/S1470-2045(12)70481-3. Epub 2012 Nov 16.

Date Published: 22nd Nov 2012

Registered Mode: by PubMed ID

Authors: N. Schmitz, M. Nickelsen, M. Ziepert, M. Haenel, P. Borchmann, C. Schmidt, A. Viardot, M. Bentz, N. Peter, G. Ehninger, G. Doelken, C. Ruebe, L. Truemper, A. Rosenwald, M. Pfreundschuh, M. Loeffler, B. Glass

Help
help Submitter
Activity

Views: 2771

Created: 13th May 2019 at 11:25

Last updated: 7th Dec 2021 at 17:58

help Attributions

None

Related items

Powered by
(v.1.13.0-master)
Copyright © 2008 - 2021 The University of Manchester and HITS gGmbH
Institute for Medical Informatics, Statistics and Epidemiology, University of Leipzig

By continuing to use this site you agree to the use of cookies