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How can we better predict early relapse in multiple myeloma?
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The Multiple Myeloma Hub was pleased to speak to Meral Beksac, Ankara University, Ankara, TR. We asked, How can we better predict early relapse in multiple myeloma (MM)?
How can we better predict early relapse in multiple myeloma?
In this video, Beksac presents their recent research paper on the predictors of post-transplant early relapse in MM, highlighting the development of a novel risk scoring tool: the EBMT ER score.1
Beksac discusses key prognostic factors including age, sex, disease status, International Staging System score, and Karnofsky score by their impact on relapse. Moving forward, Beksac summarizes how the combination of these factors by individual was used to stratify patients into five subgroups, which may better predict the risk of early relapse after transplantation in MM.1
- Beksac M, Iacobelli S, Koster L, et al. An early posttransplant relapse prediction score in multiple myeloma: A large cohort study from the chronic malignancies working party of EBMT. Bone Marrow Transplant. Online ahead of print. DOI: 1038/s41409-023-01999-1
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