Unknown

Dataset Information

0

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


ABSTRACT: 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.

SUBMITTER: Scott EC 

PROVIDER: S-EPMC5090978 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

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

Scott Emma C EC   Hari Parameswaran P   Sharma Manish M   Le-Rademacher Jennifer J   Huang Jiaxing J   Vogl Dan D   Abidi Muneer M   Beitinjaneh Amer A   Fung Henry H   Ganguly Siddhartha S   Hildebrandt Gerhard G   Holmberg Leona L   Kalaycio Matt M   Kumar Shaji S   Kyle Robert R   Lazarus Hillard H   Lee Cindy C   Maziarz Richard T RT   Meehan Kenneth K   Mikhael Joseph J   Nishihori Taiga T   Ramanathan Muthalagu M   Usmani Saad S   Tay Jason J   Vesole David D   Wirk Baldeep B   Yared Jean J   Savani Bipin N BN   Gasparetto Cristina C   Krishnan Amrita A   Mark Tomer T   Nieto Yago Y   D'Souza Anita A  

Biology of blood and marrow transplantation : journal of the American Society for Blood and Marrow Transplantation 20160802 10


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 Transp  ...[more]

Similar Datasets

| S-EPMC10275699 | biostudies-literature
| S-EPMC9894354 | biostudies-literature
| S-EPMC8140028 | biostudies-literature
| S-EPMC6339830 | biostudies-literature
| S-EPMC9039485 | biostudies-literature
| S-EPMC11621302 | biostudies-literature
| S-EPMC7218111 | biostudies-literature
2008-06-15 | E-GEOD-6477 | biostudies-arrayexpress
| S-EPMC5544566 | biostudies-literature
| S-EPMC8764606 | biostudies-literature