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Risk stratification of smoldering multiple myeloma: predictive value of free light chains and group-based trajectory modeling

机译:阴燃性多发性骨髓瘤的风险分层:自由轻链的预测价值和基于组的轨迹模型

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摘要

We investigated the predictive role for serum free light chain ratio (FLCr) ≥100, bone marrow plasma cell (BMPC) ≥60%, and evolving biomarkers through group-based trajectory modeling (GBTM) as high-risk defining events in 273 smoldering multiple myeloma (SMM) patients with a median follow-up of 74 months. FLCr ≥100 was confirmed as a marker for high-risk progression with a median time to progression (TTP) of 40 months with a 44% risk of progression of disease (PD) at 2 years; however, 44% of FLCr ≥100 also did not progress during follow-up. For patients with BMPC ≥60% by core biopsy, the median TTP was 31 months with a 2-year PD of 41%. GBTM established high-risk trajectories for evolving hemoglobin (eHb; characterized as a 1.57 g/dL decrease in hemoglobin), evolving m-protein (eMP; 64% increase in m-protein), and evolving differences in FLC (edFLC; 169% increase in dFLC) within 1 year of diagnosis associated with a decreased median TTP and an increased 2 year rate of PD. Of all the variables examined, we identify a model where immunoparesis, eHb, eMP, and edFLC were significant predictors for ultra-high-risk progression with a median TTP of only 13 months with 3 or more variables present. Our results not only confirm a more modest 2 year PD associated with FLCr ≥100 and BMPC ≥60 but also suggest that eHb, eMP, and edFLC may help identify an ultra-high-risk SMM group.
机译:我们研究了血清游离轻链比(FLCr)≥100,骨髓浆细胞(BMPC)≥60%以及通过基于群体的轨迹模型(GBTM)演变的生物标志物作为273例阴燃性高危事件的预测作用骨髓瘤(SMM)患者,中位随访时间为74个月。 FLCr≥100被确认为高危进展的标志物,中位进展时间(TTP)为40个月,两年时疾病进展(PD)的风险为44%;但是,随访期间FLCr≥100的44%也未进展。对于经过核心活检的BMPC≥60%的患者,中位TTP为31个月,2年PD为41%。 GBTM建立了进化的血红蛋白(eHb;特征为血红蛋白降低1.57 g / dL),进化的m蛋白(eMP; m蛋白增加64%)和FLC的进化差异的高风险轨迹(edFLC; 169%在诊断后的1年内,dTP的增加与中位TTP降低和2年PD发生率增加相关。在所有检查的变量中,我们确定了一个模型,其中免疫异常,eHb,eMP和edFLC是超高风险进展的重要预测指标,中位TTP仅13个月,存在3个或更多变量。我们的结果不仅证实与FLCr≥100和BMPC≥60相关的2年PD更适度,而且表明eHb,eMP和edFLC可能有助于确定超高危SMM组。

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