Auto-SCT improves survival in systemic light chain amyloidosis: A retrospective analysis with 14-year follow-up Journal Article


Authors: Parmar, S.; Kongtim, P.; Champlin, R.; Dinh, Y.; Elgharably, Y.; Wang, M.; Bashir, Q.; Shah, J. J.; Shah, N.; Popat, U.; Giralt, S. A.; Orlowski, R. Z.; Qazilbash, M. H.
Article Title: Auto-SCT improves survival in systemic light chain amyloidosis: A retrospective analysis with 14-year follow-up
Abstract: Optimal treatment approach continues to remain a challenge for systemic light chain amyloidosis (AL). So far, Auto-SCT is the only modality associated with long-term survival. However, failure to show survival benefit in randomized study raises questions regarding its efficacy. We present a comparative outcome analysis of Auto-SCT to conventional therapies (CTR) in AL patients treated over a 14-year period at our institution. Out of the 145 AL amyloidosis patients, Auto-SCT was performed in 80 patients with 1-year non-relapse mortality rate of 12.5%. Novel agents were used as part of induction therapy in 56% of transplant recipients vs 46% of CTR patients. Hematological and organ responses were seen in 74.6% and 39% in the Auto-SCT arm vs 53% and 12% in the CTR arm, respectively. The projected 5-year survival for Auto-SCT vs CTR was 63% vs 38%, respectively. Landmark analysis of patients alive at 1-year after diagnosis showed improved 5-year OS of 72% with Auto-SCT vs 65% in the CTR arm. In the multivariate analysis, age <60 years, induction therapy with novel agents, kidney only involvement and Auto-SCT were associated with improved survival. In conclusion, Auto-SCT is associated with long-term survival for patients with AL amyloidosis. © 2014 Macmillan Publishers Limited All rights reserved.
Journal Title: Bone Marrow Transplantation
Volume: 49
Issue: 8
ISSN: 0268-3369
Publisher: Nature Publishing Group  
Date Published: 2014-08-01
Start Page: 1036
End Page: 1041
Language: English
DOI: 10.1038/bmt.2014.115
PROVIDER: scopus
PUBMED: 24887378
DOI/URL:
Notes: Export Date: 2 September 2014 -- CODEN: BMTRE -- Source: Scopus
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  1. Sergio Andres Giralt
    1050 Giralt