Title |
Outcomes of young adults (aged ≤ 40 years) with newly diagnosed multiple myeloma after up‐front autologous stem cell transplant
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Published in |
British Journal of Haematology, June 2023
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DOI | 10.1111/bjh.18944 |
Pubmed ID | |
Authors |
Oren Pasvolsky, Curtis Marcoux, Denái R. Milton, Mark R. Tanner, Qaiser Bashir, Samer Srour, Neeraj Saini, Paul Lin, Jeremy Ramdial, Yago Nieto, Hans C. Lee, Krina K. Patel, Partow Kebriaei, Priti Tewari, Lindsay Crawford‐Suber, Sheeba K. Thomas, Donna M. Weber, Robert Z. Orlowski, Elizabeth J. Shpall, Richard E. Champlin, Muzaffar H. Qazilbash |
Abstract |
Multiple myeloma (MM) primarily affects older patients. There are scarce data on the outcomes of young adults undergoing autologous transplantation (auto-HCT). In this single-centre analysis, we included 117 younger patients, with a median age of 37 years (range 22-40) at transplant. Seventeen (15%) patients had high-risk cytogenetics. Before transplant, 10% of patients achieved ≥CR and 44% achieved ≥VGPR. At best post-transplant response, 56% and 77% of patients achieved ≥CR and ≥VGPR respectively. With a median follow-up for survivors of 72.6 months (range 0.9-238.0), median PFS and OS were 43.1 months (95% CI 31.2-65.0) and 146.6 months (95% CI 100.0-208.1) respectively. Patients who underwent auto-HCT after 2010 had better median PFS (84.9 months vs. 28.2 months, p < 0.001) and OS (NR vs. 91.8 months, p < 0.001) compared with those transplanted earlier. In multi-variate analysis, achieving ≥CR as best post-transplant response was associated with improved PFS (HR [95% CI] 0.55 [0.32-0.95], p = 0.032), while achieving ≥VGPR was predictive of superior OS (0.32 [0.16-0.62], p < 0.001). Three patients (3%) developed a second primary malignancy. Younger MM patients had durable survival after auto-HCT, which further improved after the availability of novel anti-myeloma drugs in recent years. Depth of response following transplant remains a key predictor of survival. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 7 | 23% |
United Kingdom | 3 | 10% |
Poland | 1 | 3% |
New Zealand | 1 | 3% |
India | 1 | 3% |
Japan | 1 | 3% |
Malaysia | 1 | 3% |
Unknown | 15 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 19 | 63% |
Practitioners (doctors, other healthcare professionals) | 5 | 17% |
Scientists | 5 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 6 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Other | 2 | 33% |
Unknown | 4 | 67% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 2 | 33% |
Unknown | 4 | 67% |