Published in:
Open Access
01-09-2013 | Original Paper
Prognostic factors and long-term outcome of autologous haematopoietic stem cell transplantation following a uniform-modified BEAM-conditioning regimen for patients with refractory or relapsed Hodgkin lymphoma: a single-center experience
Authors:
Anna Czyz, Anna Lojko-Dankowska, Dominik Dytfeld, Adam Nowicki, Lidia Gil, Magdalena Matuszak, Maria Kozlowska-Skrzypczak, Maciej Kazmierczak, Ewa Bembnista, Mieczysław Komarnicki
Published in:
Medical Oncology
|
Issue 3/2013
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Abstract
Despite the well-defined role of autologous haematopoietic stem cell transplantation (autoHCT) in the treatment of patients with relapsed or refractory Hodgkin lymphoma (HL), relapse remains the main cause of transplant failure. We retrospectively evaluated long-term outcome and prognostic factors affecting survival of 132 patients with refractory (n = 89) or relapsed HL (n = 43) treated with autoHCT following modified BEAM. With a median follow-up of 68 months, the 10-year overall survival (OS) and progression-free survival (PFS) were 76 and 66 %, respectively. The 10-year cumulative incidence of second malignancies was 7 %. In multivariate analysis, age ≥45 years, more than one salvage regimens and disease status at transplant worse than CR were factors predictive for poor OS. In relapsed HL, age at transplant, response duration (<12 vs. ≥12 months) and the number of salvage regimens were independent predictors for PFS. In the refractory setting, disease status at autoHCT and the number of salvage regimens impacted PFS. The number of risk factors was inversely correlated with PFS in both relapsed and refractory HL (p = 0.003 and <0.001, respectively). The median PFS for patients with >1 risk factor in the relapsed and refractory setting was 5 and 11 months, respectively, in comparison with the median PFS not reached for patients with 0–1 risk factor in both settings. We conclude that high proportion of patients with relapsed/refractory HL can be cured with autoHCT. However, the presence of two or more risk factors helps to identify poor prognosis patients who may benefit from novel treatment strategies.