Artigo Acesso aberto

Post-Transplant Outcomes in High-Risk Compared with Non–High-Risk Multiple Myeloma: A CIBMTR Analysis

2016; Elsevier BV; Volume: 22; Issue: 10 Linguagem: Inglês

10.1016/j.bbmt.2016.07.007

ISSN

1523-6536

Autores

Emma C. Scott, Parameswaran Hari, Manish Sharma, Jennifer Le‐Rademacher, Jiaxing Huang, Dan T. Vogl, Muneer H. Abidi, Amer Beitinjaneh, Henry C. Fung, Siddhartha Ganguly, Gerhard Hildebrandt, Leona Holmberg, Matt Kalaycio, Shaji Kumar, Robert A. Kyle, Hillard M. Lazarus, Cindy Lee, Richard T. Maziarz, Kenneth R. Meehan, Joseph Mıkhael, Taiga Nishihori, Muthalagu Ramanathan, Saad Z. Usmani, Jason Tay, David H. Vesole, Baldeep Wirk, Jean A. Yared, Bipin N. Savani, Cristina Gasparetto, Amrita Krishnan, Tomer M. Mark, Yago Nieto, Anita D’Souza,

Tópico(s)

Protein Degradation and Inhibitors

Resumo

Conventional cytogenetics and interphase fluorescence in situ hybridization (FISH) identify high-risk multiple myeloma (HRM) populations characterized by poor outcomes. We analyzed these differences among HRM versus non-HRM populations after upfront autologous hematopoietic cell transplantation (autoHCT). Between 2008 and 2012, 715 patients with multiple myeloma identified by FISH and/or cytogenetic data with upfront autoHCT were identified in the Center for International Blood and Marrow Transplant Research database. HRM was defined as del17p, t(4;14), t(14;16), hypodiploidy (<45 chromosomes excluding -Y) or chromosome 1 p and 1q abnormalities; all others were non-HRM. Among 125 HRM patients (17.5%), induction with bortezomib and immunomodulatory agents (imids) was higher compared with non-HRM (56% versus 43%, P < .001) with similar pretransplant complete response (CR) rates (14% versus 16%, P .1). At day 100 post-transplant, at least a very good partial response was 59% in HRM and 61% in non-HRM (P = .6). More HRM patients received post-transplant therapy with bortezomib and imids (26% versus 12%, P = .004). Three-year post-transplant progression-free (PFS) and overall survival (OS) rates in HRM versus non-HRM were 37% versus 49% (P < .001) and 72% versus 85% (P < .001), respectively. At 3 years, PFS for HRM patients with and without post-transplant therapy was 46% (95% confidence interval [CI], 33 to 59) versus 14% (95% CI, 4 to 29) and in non-HRM patients with and without post-transplant therapy 55% (95% CI, 49 to 62) versus 39% (95% CI, 32 to 47); rates of OS for HRM patients with and without post-transplant therapy were 81% (95% CI, 70 to 90) versus 48% (95% CI, 30 to 65) compared with 88% (95% CI, 84 to 92) and 79% (95% CI, 73 to 85) in non-HRM patients with and without post-transplant therapy, respectively. Among patients receiving post-transplant therapy, there was no difference in OS between HRM and non-HRM (P = .08). In addition to HRM, higher stage, less than a CR pretransplant, lack of post-transplant therapy, and African American race were associated with worse OS. In conclusion, we show HRM patients achieve similar day 100 post-transplant responses compared with non-HRM patients, but these responses are not sustained. Post-transplant therapy appeared to improve the poor outcomes of HRM.

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