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Smoldering multiple myeloma (SMM) is a precursor form of multiple myeloma (MM). Most SMM patients (pts) are asymptomatic and do not require any form of treatment. However, SMM pts need to be monitored at regular time intervals as there is a 10% probability each year of developing MM in the first five years after diagnosis. This is reduced to 3% per year in the next five years and to 1% per year thereafter. Identifying clear biomarkers which can predict high-risk SMM pts can help treat these pts timely, before they develop any end-of-organ damage. It can also help to limit treatment in SMM pts whose disease may never progress, avoiding cumulative side-effects of long-term treatment.
In 2014 the International Myeloma Working Group (IMWG) identified a set of criteria, which included bone marrow plasma cell (BMPC) percentage > 60, free light chain ratio (FLCr) ≥ 100 and more than one focal lesion detected by magnetic resonance imaging (MRI), that were associated with higher-risk of SMM pts to develop MM.
Vernon Wu from the Stony Brook University School of Medicine, Stony Brook, US, Ajai Chari from Icahn School of Medicine at Mount Sinai, New York, US and colleagues studied collectively a set of biomarkers to determine their predictive value in identifying high-risk SMM pts. In addition to serum FLCr ≥100 and BMPC ≥ 60%, the authors used a group-based trajectory modeling (GBTM) to include evolving (e) biomarkers, the levels of which can change during time. The GBTM identified high-risk groups of pts taking into account changes in the values of hemoglobin (Hb), monoclonal (M-) protein (MP), FLCr and the difference in the concentration between the involved and uninvolved FLC (dFLC) a year after SMM diagnosis.
This study identifies SMM pts with FLCr ≥ 100 and BMPC ≥ 60% as high-risk group, similar to previous studies, but with a better prognosis in terms of TTP and 2-year PD rate to that previously described. A GBTM identified four evolving biomarkers, immunoparesis, eMP, eHb and edFLC, as significant predictors of an ultra-high-risk group of pts. These evolving biomarkers can be validated further in future studies or in a meta-analysis of previously collected data.
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